#ADAS data collection
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Do you guys see my vision do you
Nerdy thoughts about characters and the world in the au under the cut (Slight spoilers for plot of both BSD and Reverse:1999 I guess?)
ok ok so:
Dazai is the Time Keeper and works at the St. Pavlov Foundation. The ADA would basically be the small branch of the Foundation that Vertin oversees in the actual story. To that end, I can snag a couple character rolls for the BSD characters.
Dazai is Vertin, obviously. He was just as rebellious as a kid as she was, and made friends with the outside world (Oda) only to watch them die to the storm. So now the Foundation makes him go to the different time periods and collect data on why he and his suitcase are immune. Since I know Vertin is like 16 in the game, I thought I should age everyone down just slightly to fit that teenagers-doing-dangerous-things-that-should-be-left-to-adults vibe, so now he is 18 when he finds Atsushi, who is 14.
Kunikida would probably play a Sonnetto role, being the studious type who tries to follow all the rules and make sure the Time Keeper stays on track.
Yosano would probably be best suited as a Doctor in the Foundation but is saved strictly for the ADA’s branch. Probably a Medicine Pocket type of character? I actually have a draft of her where I take heavy inspiration from X’s butterfly scarf thing because thematically I think it’s perfect. I don’t know if she would exactly fit Mesmer Jr.’s role, since it includes a betrayal against Vertin along with Dubious medical practices within her family. Although the dubious medical practices thing could fit well, I don’t think the betrayal really suits her character in that regard.
Ranpo wouldn’t be an arcanist, but we have actual human characters in the story who are playable (like Ezra is human I believe), so he could use his deduction skills that way. They’d probably try to keep him away from the front lines when possible, so as not to risk him if the storm appears.
Thematically, Atsushi would be Regulus, since she’s the first to be found by Vertin in the actual story. Otherwise, Atsushi would be completely different in terms of backstory. It’s hard to tell in these sketches, but I tried to give him a coat similar to Regulus but not recognizable as such. He’d be a Beast Aflatus, obviously. Arcanists are very much discriminated against in the actual story, so that would fit really well with him. I figured Atsushi could be immune to the storm too, since his tiger has the power to cut through abilities, similar to how Dazai can nullify them.
Ango would be Madam Z, because of his strenuous relationship with the Time Keeper due to past betrayals, and his want to keep the Time Keeper out of harms way. Mori could be his direct supervisor for a time, and Ango can be complicit in the “trap” made for Dazai to get him to be more agreeable. He’d help reduce the influence the Foundation has on the Time Keeper’s decisions. Fukuzawa could be good for this role of “overlooking the team” as well.
As for the Foundation itself, I think it would be a mix of the government and the port mafia, while having Manus Vindictae be the Decay of Angels/Rats (Fyodor would make a really good villain in that regard). Although it’s hard to picture some of the port mafia members working at the Foundation, I can still pick and choose who goes where.
Every other character probably wouldn’t have a direct comparison, but that’s what I have so far. This is probably WAY easier to follow if you know the plot of Reverse: 1999 but I’ll come up with a more comprehensive doc later.
#bsd#bungou stray dogs#dazai osamu#atsushi nakajima#bsd atsushi#bsd dazai#aus#Time keeper Dazai my beloved#Every time I think I’ve made the most self indulgent thing ever#I have to go and one up myself huh#little sketchie doos to get back into drawing stuff#also does anyone know the etiquette of tagging au universes cuz I'm not sure I should be tagging this as r1999 specifically#bsd re1999 au
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https://www.science.org/content/article/type-hormone-therapy-may-determine-whether-trans-men-continue-menstruate
If you haven't been to science.org in the past month you should get one free article and be able to read it. Also if you turn off Javascript, there will be what looks like the blocking banner, but you can scroll down and read it all. Key takeaway from this preliminary study:
A new study suggests the type of hormone replacement therapy (HRT) may be key. People using a gel or cream were 10 times as likely to continue to menstruate than those receiving injections, researchers report this month in the International Journal of Transgender Health.
Not too long though, full thing below the cut. And here is the link to the actual paper, open access: https://www.tandfonline.com/doi/full/10.1080/26895269.2024.2403140
Taking testosterone can help transgender men gain “masculine” traits: hairier bodies, deeper voices, and no more menstruation. However, for some trans men, menstruation continues during such treatment, a symptom called “persistent menstruation.” The reasons for this are poorly understood by both researchers and clinicians.
A new study suggests the type of hormone replacement therapy (HRT) may be key. People using a gel or cream were 10 times as likely to continue to menstruate than those receiving injections, researchers report this month in the International Journal of Transgender Health. The work could better help those with gender dysphoria—the mismatch between a person’s gender identity and the one they were assigned at birth.
“Previous data has been mixed about the relative impact of dosage, serum testosterone levels, and route of administration on cessation of menstruation,” says Andrew Fisher, executive director of the Trans CARE program at the University of Chicago, who was not affiliated with the study. “These researchers’ contribution to the literature adds to a growing body of knowledge that will eventually allow clinicians greater ability to tailor [HRT] to individual needs.”
The new research is part of TRANSform, a trans-led study in Australia that tracks the health of trans people ages 16 or older, focusing on topics the community has questions about, such as gynecological care for trans men. Researchers led by sexologist Sav Zwickl and endocrinologist Ada Cheung of the University of Melbourne collected survey data from transmasculine people who were being followed for pelvic pain. The researchers examined data related to the type and length of HRT and experiences of menstruation before and after beginning the therapy. If participants were on HRT for more than 6 months or didn’t experience menstruation before starting the treatment, they were excluded from the study.
The team selected 401 participants ranging from ages 16 to 62, with a median age of 27. Five participants reported themselves as intersex, meaning they had a variation of sex characteristics that didn’t fall into typical male or female classifications.
The age that participants began taking HRT and menstrual regularity prior to taking HRT didn’t matter—what did was the way they took medication. Testosterone HRT is typically offered as either injections or as gels or creams rubbed onto the skin daily. Consistently taking testosterone usually results in stopping periods by the 6-month mark. Although nearly 23% of the participants continued to menstruate after 6 months of HRT, those using gel or cream were 10 times more likely to have persistent menstruation than those taking injections.
The findings could help trans people and their clinicians make decisions about their treatment plan, Cheung says. The work, she adds, is especially important for those interested in halting their menstrual cycle, which contributes to gender dysphoria and distress for many.
Still, more experiments will be needed to confirm the results, Cheung and Zwickl say. Future clinical studies should test the blood serum levels of testosterone rather than relying on survey responses, they say. “The survey nature of this means it’s self-reported,” Zwickl says. “For those taking testosterone for longer, it might mean recollections of when their period stopped and their dosages aren’t entirely accurate.”
Fisher also notes that Australia and Europe use long-acting testosterone, which is chemically different than the testosterone therapies used in other countries including the United States and parts of South America. As such, he says, it’s unclear whether the results of the new study apply globally.
Still, Zwickl says the study is a good first step. They say the high response rate to the survey and the rapport the research group has built with the trans community in Australia allowed the team to be able to conduct such a large study in the first place.
“The field of trans study is in its infancy,” Cheung adds. “It’s useful for trans people to have these studies, to know what to expect from their treatments. And hopefully we’ll continue to build our knowledge base in this area.”
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“Find anything, Winters?”
“…Chris told me about ‘this’ once.”
Day 3: Umbrella. (Ethan Winters and Ada Wong have come across a little symbol in the ground which looks awfully familiar…It seems there is more to Mother Miranda’s work then meets the eye.)
Here’s the next drawing I’ve done! You probably want to know why Ada’s in the drawing, well, turns out she was originally meant to be in RE8 to help Winters out a little and collecting data on this place for god knows what. I was disappointed we were robbed of the chance to seeing her again.
But I guess I can understand a few reasons why they had to scrap her.
I did find the concept art of her though!
I don’t have much else to say but I hope you guys like this! I’ll be uploading the next artwork tomorrow.
#resident evil#resident evil fanart#resident evil 8#resident evil village#resident evil ada wong#resident evil ethan winters#ethan winters#ada wong#re:tober
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The Heart of a Tornado ⚡ Tyler Owens
I do not own the movie Twisters or its characters, only my own original character and her family members. I also do not own the plot, only the additions I've made to it. This is going to be broken up into parts, Tyler not making an appearance until Part II.
Fandom: Twisters
Pairing: Tyler Owens x F!Reader
Word Count: 1,738
Part I
•─────⋅🌪️⋅─────• •─────⋅🌪️ ⋅─────•
Thunder roared and lightning flashed as Ada Scout made her way into the large building owned by the National Weather Service, her badge attached firmly to the pocket of her high-waisted, black flare-leg dress pants. Her stilettos clicked against the linoleum flooring as she neared the elevator that led to her office, her cream-colored long sleeve turtleneck sweater keeping her warm from the chilled air. She pressed the button to the twelfth floor and ran a manicured hand through her blown out dark brown hair, a sigh leaving her perfectly shaped and painted lips. Another day, another dollar. Another storm to report and not chase.
The elevator made a pinging sound as it reached its destination, Ada Scout being the first to step off. Heads turned towards her as she made her way to her office at the end of the hall, whispers following her. They all saw her as the rumored 'Queen of Storms,' a woman able to predict the deadliest of natural disasters as easily as she breathed. It was a title she both loved and hated, reminiscent of what an old friend back home used to call her. She took a seat behind her desk, setting her black leather designer bag on a hook under it and logged onto her computer to prepare for yet another day of tracking and reporting the weather.
"Miss Washington, there's someone here to see you." Her assistant Crosby said from the doorway, an apologetic smile on his youthful face and an even more apologetic cup of black coffee in his hand which he extended to her. She took it gratefully, giving him a nod of thanks before she inquired about the unexpected visitor.
"And who would that be, Crosby? I don't have any meetings until this afternoon." She lifted the cup to her lips, taking a small sip before setting it down on her desk. It was unusual for people to visit her office without appointments as she was normally on the road, so she found it odd someone had come to see her unscheduled.
"He says he's an old friend, Miss Washington." The young man said hesitantly, lifting his hand to scratch the back of his neck awkwardly. He was probably just as taken aback by an unannounced visitor as she was and she couldn't help but smile reassuringly.
"I see, thank you for informing me. You can send him in." She said before turning back to her computer to type in her login information, a radar of the entire United States showing on one screen and all types of data on the other. They were data collected from the storms, storm physics as they had called it back in her college years. A slight frown tugged at the corners of her lips as she noticed an increase in barometric pressure in the collection of states deemed 'Tornado Alley,' her home state of Arkansas included within them.
"Look at you all professional and boss-like." A familiar voice came from the doorway, capturing the attention of the woman. Ada Scout looked up and couldn't help but widen her eyes at the sight of her college friend Javier Rivera dressed in a suit, his once shoulder-length curls cut neatly around his neck and ears. She got to her feet, approaching the man to hug him. She hadn't seen him since the aftermath of the incident where they'd lost 3 of their friends in a field project gone wrong, the two of them and their friend Kate Cooper being the only to survive.
"Javi, what are you doing here?" She asked once they'd parted, her hands coming to rest on her hips in a way that was professional and yet, not intimidating. He shrugged, a charming grin on his face as he responded to her question.
"I didn't hear from you much after you moved so I asked Kate when I saw her a few days ago if she had. She said it had been a few months but that I could find you here. I actually wanted to discuss something important with you, a project I'm working on if you will." Ada Scout seemed shocked that he'd managed to see Kate let alone get her location from her, but she nodded and gestured to the seats in front of her desk.
"Of course, have a seat and we can discuss it. I must admit I'm surprised you got ahold of Kate, she kind of went radio silent on the world after the incident." Ada Scout said as she resumed her seat at her desk, crossing one knee over the other elegantly. Javier nodded, a grim smile on his handsome face that was more accentuated by the haircut and lack of facial stubble.
"So did you if I remember correctly. I had to find out from your Mama that you'd moved to Florida to track Hurricanes instead of Tornados for the National Weather Service." He said a bit tensely, but not in a way that was cruel or rude. It was as though he was stating an uncomfortable fact that she couldn't outright deny. She had cut off everyone after the EF5 tornado, unable to live with the guilt that clawed at her throat that her, Kate, and Javi had made it out alive when their friends hadn't. She shook her head to clear her thoughts and folded her hands in her lap politely.
"I won't deny that I did, I do apologize for that. I just-I couldn't handle the guilt right away, not knowing that we made it out when the others didn't. But enough about the past, what's this new project you speak of? You aren't still chasing storms, are you?" She asked, keeping her tone calm and even although she felt anything but.
"Actually I am, I'm working with Storm Par now to track tornadoes before they touch land to see if we're able to prevent them from creating mass amounts of damage back home in Oklahoma. I have access to military grade weaponry now from my time in the service and from willing investors and I came to see if maybe, just maybe you'd be willing to give me a week to help further my research. I proposed the idea to Kate too, but she denied me immediately. I just can't keep sitting and watching small towns like our own get destroyed by weather we should be able to predict the path of. To get ahead of so people are more prepared." He revealed, his words making the breath in Ada Scout's lungs still for a moment. He wanted her to come home for a week? To face the past she had tried to forget?
"Javi, I'm proud of you. Really, I am. But I haven't been back home in 5 years and while I'd love to help you figure out how to predict the path of a tornado and help decrease the damages they cause, as well as inform people of their development sooner, I can't just leave Florida. I have a job here, it's hurricane season. I do all of the reporting and research on them." She frowned.
"Please Ada, I know how important your job is here and I know how much you despise the idea of going back, but think about all the people we can help. That we can save." Javi leaned forward, placing his hands on his knees and Ada Scout sighed. He threw out a good point, one that tugged on her heart strings more than she cared to admit. If they could find a way to predict these vortexes, then maybe people wouldn't have to lose everything the way they had 5 years ago. Maybe they would've been able to save their friends if there had been more data.
"Fine. But I'm only staying for a week, I can't afford to give you more time than that. Not with it being hurricane season." Ada Scout said with a sigh, her blue eyes showing she was firm on her decision and wouldn't be willing to negotiate more time away from Florida. Javier grinned and jumped to his feet excitedly, clasping his hands together.
"Wonderful! I'll book your flight and motel room, you don't have to worry about a thing. Just bring that brilliant brain of yours." He said in a rush, already pulling out his phone to book their flights and accommodations. "I have a team of the best and brightest, you won't be disappointed in the slightest. They're intelligent, hard working, and brave."
Ada Scout nodded at his words. She didn't dispute that Javier had put together a team of the world's best and brightest Meteorologists, she just didn't know where she'd fit into the mix. Sure, she had studied Meteorology in Undergrad and pursued three Doctorates in Atmospheric and Oceanic Sciences, Earth Science, and Storm Physics. But she didn't chase storms anymore, especially not tornados like she had back in her younger years.
"Just let me know when my flight is so I can be prepared." She told her college friend, already typing up an email to her Boss to let him know she'd be using a week's worth of her PTO days this upcoming week. She knew he wouldn't mind, the old man was always pressing her to use them and take a vacation as all she did was work and go to the gym. He replied within seconds of her email being sent, letting her know he'd call her if he needed her and to enjoy her time back home. He also included a 'Be Safe' closing line, the man seeing his employees more as his own children than working machines. She stood from her desk to walk Javier to the elevator, her stilettos clicking as she walked. She didn't know how to feel about what she had just agreed to, how it would be being back after so many years, or what to think about chasing the same type of natural disaster that had caused her, Javier, and Kate to lose their closest friends.
"I'll see you Monday in Oklahoma!" Javier grinned before he exited her office and stepped into the elevator, waving enthusiastically as the doors closed and he descended to the Main Lobby. Ada Scout made her way back to her office, almost flopping down into her chair and putting her head in her manicured hands. What the hell had she just agreed to?
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Resident Evil 2 Nintendo 64 Version/GameCube Version Comparison:
N64 V: "Ahh, what a beautiful day in the year 1999.
NGC V: "Hello there!"
N64 V: "Huh? Wha-?! Oh, it's you, small disc. What? Are you trying to fry all my 64 bits with a classic RE jump scare?! Huh? What's a matter with you?!"
NGC V: "Oh, I didn't mean to scare you. Sorry about that."
N64 V: "Wait a minute. You're...me?! You're Resident Evil 2 as well, aren't you?!"
NGC V: "I mean...I'm you...but more, I guess?"
N64 V: "What do you mean by "more"? You think you're better than me?!"
NGC V: "...Also yes."
N64 V: "Why I never! The nerve of this generation! Tell me, what makes you so special? Huh? You think you're so rad with your extra room for data on your small disc? Let me guess, you finally made the deal with the devil himself, didn't you? I told you; we don't make deals with the enemy."
NGC V: "The devil? Oh, you mean Sony? Dude, I had no part in that. Okay? They offered to help you move away from cartridge, but your generation said no to that sort of help."
N64 V: "Wha-? What else could ruin this sublime day for me?"
NGC V: "Okay, I'm going to tell you this one last time...it's not 1999 anymore...or 2003...unfortunately."
N64 V: *Speechless*
Hello and welcome, my fellow retro gamers, Kawaii Fox Reviews here. I apologize if that bit was too cheesy for you. Also, nothing against Sony. I enjoy that company, as well. But, right now, I wanted to review/ compare Capcom's Resident Evil 2 on the N64 to the Gamecube.
Fun fact about this fox: I love Resident Evil. Always have for years and fell in love with just about all of them. Well, I actually just like 5 and 6. I even fell in love with the movies. Well, except the Final Chapter. I know, some people might find that to be taboo, but I can justify those movies in another review.
Right now, I want to share my thoughts on the miracle, that is Resident Evil 2 on the N64. If you are interested in expanding your collection of retro games for your N64, then Resident Evil 2 is an absolute must have. However, I am not going to sugar-coat it, the Gamecube version is the far superior one.
"But Kawaii Fox, why are we here, then? Should we just get the Gamecube version, or the ps1 version, or the-?"
Yes, to all of those. Sorry to cut myself off like that. I know, it wasn't very nice of me. But Resident Evil 2 as a whole should be enjoyed across all accessible platforms. For me, personally, my favorite version is the one on the NGC. Just the Gamecube controller alone is enough for me to favor this version over the other versions. To this day, that controller is my favorite. Ironically, the original N64 controller is my least favorite of all time. But never fear, I have replaced mine with the Gamepads on eBay for like $25. Such a better quality, highly recommended.
Anyway, the purpose of this review is because I find the N64 version is very fascinating. To be honest, I played the hell out the NGC version. Then, at one point, to my surprise, I had discovered that the N64 version does in fact exist. Even though, at this time, I didn't have an N64. But I was still curious as to what this version was like.
After watching a comparison video between the different versions, it came down to the N64 version. Cutscenes were cut up, textures were blurry/muddy, sound was not as clear as it should be. My least favorite part was the fact that there was a certain scene where Ada Wong was talking to another character, but she had Claire Redfield's voice. I love voice actors, Sally Cahill and Alyson Court, and I expect to hear those voices played for their respective roles.
I think the Rock put it best, "It's the biggest piece of dog shit."
However, after I got my N64, I came across this version again. I had found a video by a YouTuber by the name of Lotus Prince that dived into more of what this version had to offer, along with the other ports. Something about it, made me say, "I have an N64, now I want to experience that for myself." I got my copy from eBay and started playing it. Of course, I'm breezing through it, since I've beaten it so many times on the Gamecube.
I'm actually in the middle of Claire: Scenario B, as of this moment. Is everything downgraded as expected? Yes. And it is horrific. But, to my surprise again, it's still the same game I played and still love on the NGC. It also plays very well on the N64. As long as it performs well, I can be okay with any version of any game. Is it perfect? Hell no. But again, it's still the same game I already love.
If I had a subtitle for this review/ comparison, I would have asked the question, "How can something so bad, be so good?"
After getting into this bizarre version of Resi 2, I came across another video by a Youtuber by the name of Modern Vintage Gamer. In this video, he manages to break it down to a science of how they manage to cram this masterpiece of a game into a cartridge. That video alone is intriguing enough to not only look at Resi 2 on the N64 as a game, but as a great concept in general as to how it was made possible.
I will link both of those videos at the end. Please take a look at them.
Now, I am going to wrap this up with these finale thoughts:
This may sound a little harsh, but I believe Resi 2 had no business being on the N64. With its limited cartridge space, and the fact that it's literally the only Resi game on the console. The fact they have to include cliff notes for the first game in this game, says a lot. But, just in case you didn't know this, Resident Evil 0 was supposed to be on the N64. That project was scrapped. But man, I still would have played it. With all the classic Resi-like games we have today, it would be so amazing to bring that project back from the dead.
Despite all that, I do find this whole thing interesting. The fact that that Resi-2 manage to bounce from one Nintendo console to another Nintendo console is brilliant to me, and then from there we got RE3, RE: Code Veronica, RE: remake, RE: 0, and even RE: 4 all on the NGC. What I mean by all this, is that Resi 2 on N64 may have never been the best version or maybe even the most popular, but the fact that they stopped, and said, "Hey, let's do the same game again on Nintendo's next, more advanced, console," Or however that idea was pitched.
It's sad to say, but some companies I think just put games on consoles and call it good, when in actuality, its not. We don't get a remake or an update. It just dies on the console it lands on. But not Resident Evil 2. Resi 2 was risen from the grave...and again with the 2019 remake...and its here to stay. With that, I will admit, I am so grateful I gave this version an actual chance.
Also, quick note: If you plan to experience your Resi 2 game on your N64, please be sure to install an expansion pak. If you do not know what that is. Its the thing that is stored between your Power Button and your Reset Button. What it does is provide you with 8MB of RAM instead of 4MB. This should clean up your Resi game. Won't make it perfect, but the graphics will be less muddy. However, I have heard that it can mess up transferring between screens in the levels. Like old VCR screen tearing. I haven't experience that, myself, but I am warning you, it is possible.
Thank you so much for sticking it out till the end, guys! It really means a lot to me. As you can tell, I have passion for RE games and was really excited to do this. If I forgot something, I apologize. Special thanks to angel studios (The original name of the developers), Capcom, and Nintendo for making the impossible possible. And thank you Lotus Prince and Modern Vintage Gamer for the inspiration.
That's it for now. This is Kawaii Fox Reviews, signing off. I hope you enjoyed your stay. Until next time, stay foxy. ;)
And hey, it's up to us to take out Umbrella.
See ya!
youtube
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So obviously we know that google tracks your searches and sells your data etc etc no shit
But before I got my pet fish I was doing a lot of research into betta fish right you know getting opinions and collecting info and recommendations to make sure Ada would be happy and healthy
But I've been getting recommended videos of random dudes doing fishing tutorials and people pouring hundreds of tropical fish into cramped tanks all at once and it's pissing me off severely because the latter is explicitly animal abuse
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Her remake version is more popular than Jill and that is a fact. People are demanding more content of her. She is Leon's romantic interest, people want to see more of her. And she deserved to be on Fortnite and not Claire, Claire is even lower than Jill.
"IT'S TRUE BECAUSE I SAY IT'S TRUE"
you know that capcom makes business decisions based on focus group testing, mass market research data, and allocation of funds, right? there's a reason why claire got chosen for fortnite over ada. it's because capcom made a tactical marketing decision based on data they had collected, which told them that claire was more immediately recognizable to a wider number of people than ada was. and the reason for that is because claire is a playable protagonist in a mainline game, and ada isn't.
jill paved the way for other female characters in video games. ada hasn't done that. jill is considered a mascot of the series. ada isn't.
just because kids on tiktok like ada doesn't mean that that reflects the reality of the wider video game community or the overall perception of resident evil as a series. this is why i continuously beg and plead with you guys to play other video games. but you refuse to do that, and then you get mad about reality because it doesn't reflect your highly curated little bubble.
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Susah
Hello welcome back to my post, terakhir nulis apa ye lupa. Oh abis dari Southhampton. Itu nulis hari Senin pagi minggu ini ku mampir VHL dulu sebelum ke ofis. The rest of the week, there is nothing special happened, only me trying to work on co-authors’ comments on the ms revision. Sesungguhnya dari hari Senin udah tahu kalau harus nyiapin slide buat hari ini, and I even WROTE about it! In the tumblr post! Tapi ya being the usual procrastinator that is Asri Oktavioni that I am, tentu saja ku baru ended up mulai ngerjain jam 17pm Thursday (!) for a Friday morning meeting (???) What the hell was I even thinking sih??? Tapi yaudah ga guna juga if I beat myself up currently karena udah lewat.
Iya intinya meeting tadi pagi is… okay(?) I guess. It’s just that it could be better. It always could be better. Tamsin berulang-ulang kali emphasizing on determining what “scientific” question do I want to answer so that we could design better experiment. Terus untungnya banget Erdem jumped in langsung “iya nanti mingdep w di dept all the time, kita (as in me and Asri) bakal bahas data-data yang udah ada”. Phew. One of my postdoc juga tried to highlight and mention to the entire forum that what I’m doing is cool: that I’m covering the spectrum of whole “open system” vs “close system” of thermal maturation experiment (which is supposed to make me feel better I guess?). Kayanya w kelihatan helpless banget atau confused banget apa gimana gitu kali ya sampe dibilangin juga sama salah satu collaborator “don’t be discouraged, what you’re doing is very tedious complicated task and the fact that you managed to do all these experiments and collect data from it is a really good progress”. HUHU.
I don’t know, though. Betul-betul gatau ini apa yang w rasain sekarang. Definitely not relief. Fear? Anxious? Lebih ke… capek kali ya. Disclaimer: hari ini juga adalah 2 hari sebelum ku menstruasi jadi mungkin dipengaruhi oleh hormonal PMS-related mood swing juga. Beres meeting langsung ke ofis terus ngerasa PUSING BANGET. Tapi gatau pusingnya kenapa… Ya mostly karena mikir aja sih. Biasanya beres meeting gini w tu excited dan feeling intellectually challenged, tapi kali ini lebih ke… lelah aja. Bosen. Capek. Berusaha jawab pertanyaan yang sama selama hampir tiga tahun tapi ga maju-maju (well, that is not entirely true… karena maju sih dikit, dan pertanyaannya berubah juga setiap hari). Tapi tetep aja. Hebat banget orang-orang yang udah lulus PhD tu. FULL RESPECT DEH SAMA U SEMUA.
Berhubungan sama judul di atas juga. Jadi kan yaudah sesampainya ofis langsung apdet Instagram terus kumasukkin lah caption “Susah banget PhD mau muntah” ya along that line lah nuancenya. Terus tapi pas tadi lagi makan siang di Sasi’s ku jadi kepikiran lagi: “apa sih emangnya definisi ‘susah’ Non?” Susah buat siapa? Salah satu trigger kepikiran ini adalah karena kemarin sore pas lagi ngerjain slide I took a break terus lihat di storynya Ainna @untoldmind tentang dia pusing mikirin research idea. Storynya Ainna linked to an Instagram post of a book(¿) or report (¿). Bukunya bahas intinya pengalaman mereka volunteering dan gimana ditemukan interupsi dari industri (ya susu formula, ya makanan bayi instan) yang buruk untuk asupan gizi anak yang natural (well, at least itu yang kutangkep dari beberapa halaman foto buku itu). Dari satu postingan itu ku jadi went through the rabbit hole dan jadi mengunjungi akun-akun insta lain, ya dokter anak, ya ahli gizi sepertinya, ya nakes, yang bahas gimana susahnya lembaga bantuan internasional (WHO atau UNICEF) nge-assess bantuan apa yang harus/bisa dikasih ke ibu dan anak korban bencana alam misalnya, akibat ada intervensi dari big industries ini.
Anyhowwwww, this is really not the point I’m trying to say. Tapi paham kan jadinya ya sekarang gimana otakku bekerja? My mind just keeps interrupting one another!!! PUSING!!! HHHHHH.
Ok, gimana Non, pelan2. Iya tapi jadi intinya adalah. Kemarin ku menangis di ofis…. Jam 18.30pm-an. By myself. Gara-gara baca di salah satu part bukunya itu dibahas ada ibu muda yang anaknya ada 5(?) gitu? Tar aku link aja dah ye postingannya di sini.
instagram
(Gambar ke 2 yang bikin nangis).
Terus jadi si ibu muda beranak banyak ini datang ke sesi penyuluhan oleh tim sukarelawan, tapi dia gamau duduk di dalem bareng ibu-ibu lainnya. Cuma berdiri aja di pintu masuk tenda gitu. Pas ditanya kenapa, dia bilang soalnya dia ga punya uang. Soalnya ibunya ngira itutuh promosi atau jualan susu formula gitu, padahal bukan. Which just shows… how many times she’s been experiencing those big companies promoting their products to vulnerable people like her (which they gave free samples too in the beginning ofc). Yang ujung-ujungnya ngerugiin dia juga karena bayinya jadi ketergantungan sama produknya lah, ASI-nya jadi ga keluar lah, dst. JUJUR tapi ku gatau banget hal ini sebelumnya, karena ku terlalu enak parkir di geologi juga sepertinya, dan ya being ignorant aja sama societal problems, tone deaf – (WELL, banyak Non yang u gatau, u just know like what… 5% of total knowledge of the world??? Ga sampe 1% bahkan kalau menghitung semua hal yang di-experience orang lain di bumi ini).
Yaudah intinya pas baca ceritanya si ibu itu ku menangis aja gatau kenapa. Lebih karena prihatin sih. Sedih. “And here I am complaining about the fact that I have to prep a slide for tomorrow’s meeting”, that’s what I thought yesterday afternoon. Tapi tentu saja I can’t invalidate what I’m feeling. Bukan berarti rasa kesusahan-ku ngerjain riset ini jadi ga bermakna compared to rasa kesusahan yang dialamin oleh ibu muda yang di buku itu. Kita ga lagi mendang-mending-in siapa yang lebih suffering, siapa yang masalahnya lebih penting dari yang lain. We just have different battle, that’s it. Sedihnya aku kemarin kayanya juga lebih ke… tiba-tiba jadi sadar aja sih, the different reality that people are having in one so-called “nation”. Ku dan si ibu muda ini sama-sama hidup di “negara yang sama”, tapi we are experiencing VERY different life. Very different problems.
Yang paling funny though, I say it funny tapi sebetulnya satire, mungkin si ibu muda ini nggak sedih at all??? Dia mungkin bahagia-bahagia aja, mentally??? Ini w jadi kaya my own mom & dad yang sedih sendiri nangis sendiri ngeliat anaknya umur 30 kok ya belum nikah-nikah huhu kasian banget pasti dia kesepian ya, while I’m here thriving, flourishing. Jadi rada tragis aja sih, w di sini, di Oxford, nangis baca cerita ni orang, while dia sendiri di Palu sana might be feeling very blessed indeed, with her 5 kids and whatnot.
Ok, kembali ke topik awal. Susah. Iya. Kubilang “risetku susah banget kalau ku-spill even 10% di insta bakal muntah klen semua”(???) Lebay banget kenapasi Non. Jadi ku jadi mikir lagi kan: susah itu apa? Standarnya siapa? Kalau mau dibilang susah, dapet medali perak IESO wakilin Indonesia pas masih kelas 11 SMA ya susah (well, lebih susah seleksi kepilih jadi timnas di pelatnasnya sih, but anyway). Lulus dari ITB dengan TA A 10km x 10km dalam 4 tahun juga susah. Keterima PhD di Oxford fully funded juga susah. Berproses bisa jadi dosen di UI juga susah (lebih ke susah administratif sih, tapi tetep susah). Tapi Alhamdulillah semua hal di atas ternyata lewat-lewat aja sekarang. Pas waktu dihadepin emang “AAAAAAAAAAAAAAAAAAAAA THIS IS THE HARDEST SHIT IM DOING IN MY LIFEEEE RASANYA MAU MUNTAHHHHHHHHH FFFFFFFFFFFFFFFF”. Paling ngerasa kaya gitu pas di Karsam 2014 dan pas mapping TA sesungguhnya. Sekarang ini ngerasain lagi, 3rd year into my PhD. Rasanya selalu ingin quitting EVERY TIME. EVERY SECOND, EVERY MIN, EVERY HOUR, EVERY DAY, EVERY WEEK, EVERY MONTH. Cuma yang PhD ini ya emang maraton aja sih. Ups and downs juga. Ada masanya ku senang bangettt, ada masanya kaya sekarang ini yang jijik banget. DAN GA SELESAI-SELESAI MASALAHNYA TU.
Kayanya tapi yang bikin ku rada susah dengan dealing with “kesusahan” ini adalah kesulitanku buat memvalidate bahwa memang apa yang kulakukan adalah susah(?). Kayak... selama ini ku selalu mikir kalau aku yang emang terlalu bodoh dan tolol dan malas untuk mengerjakan projek besar that is this PhD, ya impostor syndrome aja. Apalagi dengan kultur ketimuran kita yang kalau ada masalah harus “toughen up!” “tidak boleh menjadi crybaby!”, mentalnya di-shift jadi “dari kesulitan-kesulitan inilah kita jadi bisa belajar!” lol sungguh mode TNI banget I HATE IT TO THE BONE. Umm, btw juga berhubungan dengan ini, kemarin baca tweet review K-Drama The Good Bad Mom (?), kayanya touching on this issue juga, jadi mungkin akan nyoba nonton.
Tapi yaudah ngeliat yang udah lewat-lewat… what did I do? Did I quit? No. Basically what I did is… holding on. Bracing myself. Having grit. Jadi…. Yaudah kayanya mah sekarang the best advice I could tell myself is to…. Hold on. I will thank myself later, I guess? WOW this whole post is just basically me talking to and nyemangatin myself in writing form. Amazing.
Iya, jadi gitu. Take home lesson penting dari sini juga adalah: everyone has their own battle. Jangan assume “oh dia hidupnya hepi banget ya kerjaannya ngonser terus dan belanja dan ke Bali”. HA. IF ONLY, IF ONLY I POSTED on insta what I posted here, ALL OF THESE scary insecure THOUGHTS, all hell would break loose. I could though… no one tells me what to do or NOT do. It’s just… too big of audience there. I’m not stripping for free.
Oot but I actually kinda am building this “fun” character on insta though, you should check it out: @oktavioni (if you have time, definitely, but if you’re reading this post through sampai sini, I’d assume you have quite some time to spare *wink and smile and kamsahamnida). My last note post on Pa Marty Natalegawa’s talk has gotten quite good responses and more than 10 people have been replying my stories with “bidet” and “jetwasher”, which was a good engagement turnout(?) I think.
Back to the topic. Iya. Udah sih tapi mau ngomong itu aja. Pusing habis meeting. Pusing karena ngerasa couldve performed better. Tapi it IS reassuring to know that I have a whole team backing me up. Semoga the rest of the month (and year) (and PhD project) could go well. AAMIIN.
Wishing all the best to all of my fellows here too. We sure have different battle, I don’t…. really read people’s posts here in tumblr (sorry) (but I do this too in insta) (I READ A LOT OF TWEETS tho… so maybe just tweet so I could read your story?). Tapi kembali lagi ke 2:286 “Allah does not burden any soul with more than it can bear”, jadi percaya saja InsyaAllah ada silver liningnya. Mantap ukhty banget gaktu, berhubung hari Jumat (emoji salim).
Byea. Wishing you all really good weekend!
VHL 16:12pm 16/06/2023 – ps. Rada sedih abis ngchat grup wasap ngajak orang main pingpong di dept tp apparently lagi ga pada di Ox ☹
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Iiburanku masih sebulan lagi dan aku udh mulai agak gabut. Mau main dan jalan tapi kemarin" udh kebanyakan dolan, agak eman duitnya yh, xixixi. Yaa masih ada jadwal ngajar ngajar si, tugas dn agenda organisasi juga masih ada beberapa. Tapi beralih dari yang biasanya hampir tiap hari padet lalu lumayan luang gini membuatku bingung juga.
Sebenere ga gabutt juga si klo sadar diri kerjaanku masih banyak wkwkwkw. Ttapi yaa kayane ttp butuh kegiatan. Akhirnya mengikutkan diri jadi asisten riset buat collecting data. Jadwalnya senin-jumat jam 7-12. Lumayan lah yaa, biar pagiku bermanfaat~
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Hello!! Celebrating finishing my calc work to ask you funny little math questions. Sorry if this is a lot lol. {7, 17, 30, 40, 51, 58, 60, 62}
7. What do you like about math?
Man what don't I like about math? Honestly the biggest thing for me is just how satisfying it can be to make/understand a proof with a really clever trick to it, when you reframe a problem in a way that makes the answer just fall out. (Happens a lot with generating functions.)
17. Are there any great female Mathematicians (living or dead) you would give a shout-out to?
There's a lot that I could name, a lot of the ones that get a lot of accolades (Ada Lovelace, Sophie Germain, Emmy Noether) but I'm actually gonna go a little sideways and say: Florence Nightingale.
She's known mostly for her work in establishing nursing as a profession, but people just... seem to have completely forgotten that she was a statistician? She was the first woman ever inducted into the Royal College of Statistics. She was a data visualization pioneer, and created the radial histogram for charting seasonal trends.
30. Who is/was the most attractive Mathematician, living or dead? (And why is it Grigori Perlman?)
idk does perelman even still want to be called a mathematician any more?
40. What’s the silliest Mathematical mistake you’ve ever made?
I can't think of a particularly funny example, sadly. I taught all through my phd so the answer is probably some blackboard mistake that I made teaching a 9am class under the effects of sleep deprivation and unaddressed gender dysphoria.
51. Favorite casual math book?
Martin Gardner's Colossal Book of Mathematics, a collection of his best Scientific American articles. I read that book in middle school and now I'm a mathematician, and there is a direct line between those two things.
58. Do you have any favorite/cool math websites you’d like to share?
This one. It's a deep neural network cellular automaton that can grow and repair a pattern from a single pixel.
60. What’s you favorite number? (Wise-ass answers allowed)
Fifteen is my favorite integer, Chaitin's constant is my favorite irrational, and if you're letting me be a complete wiseass and interpret "number" as " any element of an algebraic structure" then it's the exceptional outer automorphism of S_6.
62. Are there any non-interesting numbers?
Yes, but by definition I can't name any because they're not memorable enough for me to call them to mind. Proof by induction only works as long as you don't get bored and stop sometime before the end.
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Advanced Embedded Hardware Solutions Driving Fleet Safety Innovations
As the demand for safer and more efficient fleet management systems grows, advanced embedded hardware solutions are playing a pivotal role in driving innovations that enhance fleet safety. This transformation is fueled by the integration of cutting-edge technologies that enable real-time monitoring, data analytics, and automation. The evolution of embedded systems not only enhances operational efficiency but also significantly improves the safety of drivers, vehicles, and cargo. This blog explores how these advanced solutions are reshaping fleet safety and the broader implications for the transportation industry.
The Role of Embedded Hardware in Fleet Safety
Embedded hardware refers to specialized computing systems designed to perform dedicated functions within larger mechanical or electrical systems. In fleet management, these systems are integral to monitoring vehicle performance, driver behavior, and environmental conditions. With the rise of the Internet of Things (IoT), embedded hardware has evolved to incorporate sensors, cameras, and communication modules, allowing fleets to gather critical data in real time.
Real-Time Monitoring and Analytics
One of the most significant advancements in embedded hardware solutions is the ability to provide real-time data analytics. Fleet managers can now access comprehensive insights into vehicle performance, including engine health, fuel consumption, and tire pressure. This data allows for predictive maintenance, reducing the likelihood of breakdowns and accidents caused by mechanical failures. Additionally, advanced analytics tools can assess driver behavior, identifying risky driving patterns such as harsh braking or rapid acceleration. By addressing these behaviors through training and feedback, fleets can enhance overall safety and reduce accident rates.
Enhanced Driver Assistance Systems (ADAS)
Advanced Driver Assistance Systems (ADAS) are revolutionizing fleet safety by providing drivers with critical support features. Embedded hardware solutions enable the integration of ADAS technologies such as lane departure warnings, adaptive cruise control, and collision avoidance systems. These systems utilize a combination of sensors and cameras to monitor the vehicle's surroundings, alerting drivers to potential hazards and helping them make safer driving decisions. As these technologies continue to evolve, they will play an increasingly vital role in reducing accidents and enhancing driver safety.
Telematics and Fleet Management Solutions
Telematics combines telecommunications, monitoring systems, and vehicle tracking to optimize fleet operations. Advanced embedded hardware systems are at the core of these solutions, allowing fleet managers to monitor vehicle locations, fuel usage, and driver behavior from a centralized dashboard. This data-driven approach enables proactive decision-making, helping managers identify potential safety risks and implement corrective measures. Furthermore, telematics solutions can provide insights into regulatory compliance, ensuring that fleets adhere to safety standards and legal requirements.
Integration of Artificial Intelligence and Machine Learning
The integration of artificial intelligence (AI) and machine learning (ML) into embedded hardware solutions is further enhancing fleet safety. By analyzing vast amounts of data collected from vehicles, AI algorithms can identify patterns and trends that human operators may overlook. For instance, AI can predict potential safety risks based on historical data and real-time inputs, allowing fleet managers to take preemptive action. Additionally, machine learning models can continuously improve their accuracy, adapting to changing conditions and providing increasingly reliable safety insights.
The Impact on Driver and Passenger Safety
The implementation of advanced embedded hardware solutions has a direct impact on both driver and passenger safety. By providing tools for better decision-making, improving vehicle maintenance, and enhancing communication, these solutions foster a safer driving environment.
Driver Empowerment: With access to real-time data and analytics, drivers are empowered to make informed decisions that prioritize safety. Training programs can be tailored based on individual driving patterns, allowing for personalized feedback and improvement.
Passenger Safety: The integration of safety features not only protects drivers but also ensures the safety of passengers and cargo. ADAS technologies, such as automatic emergency braking and pedestrian detection, mitigate the risks of collisions, protecting everyone on the road.
Regulatory Compliance: Advanced fleet safety solutions facilitate compliance with increasingly stringent safety regulations. By continuously monitoring vehicle performance and driver behavior, fleet managers can ensure adherence to legal requirements, minimizing liability and promoting a culture of safety.
Future Trends in Fleet Safety Innovations
The landscape of fleet safety is continually evolving, with several trends on the horizon that will further shape the integration of advanced embedded hardware solutions:
Increased Connectivity: As vehicle-to-everything (V2X) communication becomes more prevalent, fleets will benefit from enhanced connectivity that facilitates information sharing between vehicles, infrastructure, and cloud services. This connectivity will improve situational awareness and enable more effective decision-making in real time.
Data Privacy and Security: As fleets become more reliant on data-driven solutions, ensuring the security and privacy of this data will be paramount. The development of robust cybersecurity measures will protect sensitive information from potential threats, fostering trust among fleet operators and stakeholders.
Sustainability Initiatives: The push for sustainability in the transportation sector will drive innovations in embedded hardware solutions that promote eco-friendly practices. Enhanced monitoring systems can help fleets optimize fuel consumption and reduce emissions, contributing to a greener future.
Conclusion
Advanced embedded hardware solutions are at the forefront of driving innovations in fleet safety, enabling companies to harness the power of data, automation, and intelligent technologies. As the transportation landscape continues to evolve, these solutions will play a crucial role in ensuring the safety of drivers, passengers, and cargo alike. By embracing these advancements, fleet managers can not only enhance operational efficiency but also foster a culture of safety that benefits everyone involved. In an era where safety is paramount, investing in advanced embedded hardware solutions is not just a choice; it is a necessity for the future of fleet management.
To Know More About embedded hardware solutions
#embedded systems#iot#embedded hardware design service#iot applications#embedded#embedded design#embedded system
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'It's easy to get into tin-foil hat territory when discussing metadata collection, but hopefully this succinct list of things you can do to protect yourself online gets you started.'
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Automotive Artificial Intelligence (AI) Market Surging as EVs and Autonomous Cars Lead the Way
The Automotive Artificial Intelligence (AI) market is undergoing a transformative evolution that is reshaping how we drive, commute, and experience mobility. According to Intent Market Research, this market was valued at an impressive USD 2.6 billion in 2023, with projections to surpass USD 9.6 billion by 2030, expanding at a robust Compound Annual Growth Rate (CAGR) of 20.7% between 2024 and 2030. This exponential growth is driven by advances in AI technology, consumer demand for advanced driver assistance systems (ADAS), and the rise of autonomous vehicles. This article delves into the critical aspects, applications, and anticipated advancements in the automotive AI market, providing insights into what’s fueling this unprecedented growth.
1. The Rise of Artificial Intelligence in Automotive Industry
Artificial Intelligence has transitioned from being a futuristic concept to a cornerstone technology that defines modern vehicles. AI powers the smart functionalities within cars, from voice-activated controls to predictive maintenance, making vehicles not just modes of transport but intelligent companions on the road.
2. Market Overview and Growth Potential
The global automotive AI market is expanding rapidly. A growth from USD 2.6 billion to over USD 9.6 billion by 2030 represents one of the most accelerated advancements in the tech industry. This growth trajectory is underpinned by a shift towards autonomous driving, the increasing complexity of ADAS, and greater demand for in-car entertainment and personalization.
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3. Key Drivers of the Automotive AI Market
a. Demand for Autonomous Vehicles (AVs)
Autonomous vehicles are one of the biggest drivers of AI adoption in the automotive sector. Companies like Tesla, Google (Waymo), and traditional automakers are investing heavily in developing self-driving capabilities. Autonomous technology requires sophisticated AI algorithms to interpret sensor data, make split-second decisions, and ensure safety.
b. Growth of Advanced Driver Assistance Systems (ADAS)
ADAS technologies, such as lane-keeping assistance, adaptive cruise control, and automated braking, heavily rely on AI to function efficiently. These systems use AI to interpret real-time data from cameras, radar, and sensors to enhance driver safety.
c. The Push for Electrification
Electric vehicles (EVs) are another significant market factor. AI optimizes battery management, improves charging efficiency, and monitors overall vehicle health, making EVs more reliable and cost-effective over time.
d. Increasing Customer Demand for In-Car Personalization
Consumers today want a personalized, responsive driving experience. AI enables vehicles to learn driver preferences, adjust climate control, provide personalized entertainment options, and even optimize routes based on driving habits.
4. Key Applications of AI in the Automotive Industry
a. Predictive Maintenance
Predictive maintenance utilizes AI algorithms to forecast potential vehicle issues before they arise, based on data collected from sensors and diagnostic systems. This helps in reducing unexpected breakdowns and maintenance costs.
b. Natural Language Processing (NLP) for Voice-Activated Controls
Voice control has become a major feature in modern vehicles, and NLP algorithms enable accurate voice recognition, allowing drivers to make calls, change music, or set destinations without taking their hands off the wheel.
c. Image and Object Recognition
AI’s image recognition capabilities are critical for safety, assisting in detecting pedestrians, vehicles, and road obstacles. This is fundamental for both ADAS and fully autonomous vehicles.
d. Driver Monitoring Systems
AI-based driver monitoring systems detect drowsiness, distractions, or any unusual driver behavior, sending alerts or taking corrective actions to enhance safety.
5. Key Players in the Automotive AI Market
Leading players in the automotive AI market include Tesla, NVIDIA, Google (Waymo), Bosch, BMW, Audi, and Intel. These companies are investing billions to develop cutting-edge technologies that leverage AI for autonomous driving, ADAS, and more.
6. Regional Analysis of Automotive AI Market
a. North America
North America holds a significant share of the automotive AI market, driven by high R&D spending, tech hubs like Silicon Valley, and government support for autonomous vehicle testing.
b. Europe
Europe, with its strict vehicle safety regulations and proactive environmental policies, has accelerated the adoption of automotive AI. Germany, France, and the UK are prominent players here.
c. Asia-Pacific
Asia-Pacific is one of the fastest-growing regions for automotive AI, with countries like China, Japan, and South Korea leading in autonomous vehicle research, manufacturing, and deployment.
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7. Challenges Facing the Automotive AI Market
a. High Costs of AI Technology
Implementing AI technologies in vehicles remains costly, and these expenses are often passed on to consumers, limiting the market to higher-end models for now.
b. Regulatory Hurdles
Autonomous driving technology faces regulatory scrutiny and slow-moving approvals, particularly around safety and liability concerns, which could impact adoption rates.
c. Data Privacy Concerns
With AI systems collecting vast amounts of data, concerns over user privacy and data security are prevalent. Automotive companies are required to follow stringent data protection regulations.
d. Cybersecurity Threats
AI-driven cars are susceptible to hacking and cybersecurity attacks, necessitating constant advancements in security protocols to safeguard users.
8. Future Trends and Innovations in Automotive AI
a. The Rise of Fully Autonomous Vehicles
The goal of a fully autonomous driving experience is becoming more tangible, and AI will play a critical role in its realization, especially as 5G and IoT integrate further into vehicular technology.
b. AI-Powered Infotainment Systems
Future in-car entertainment systems are likely to be AI-driven, providing hyper-personalized content based on the preferences and habits of individual passengers.
c. Integration of Augmented Reality (AR)
AR, powered by AI, is starting to make its way into automotive applications, such as heads-up displays that overlay driving information on the windshield, enhancing safety and driver experience.
d. Enhanced Battery and Energy Management in EVs
AI will continue to innovate EVs, focusing on better battery management and enhanced charging capabilities, which will lead to faster, more efficient, and longer-lasting electric vehicles.
Frequently Asked Questions (FAQs)
Q1: What is driving the growth of AI in the automotive industry? A: The rise of autonomous vehicles, ADAS technologies, and the push for electrification are major drivers of AI growth in the automotive industry.
Q2: How is AI used in autonomous vehicles? A: AI enables self-driving cars to interpret sensor data, make decisions, and navigate, providing safety and efficiency on the road.
Q3: What challenges does the automotive AI market face? A: Key challenges include high implementation costs, regulatory hurdles, data privacy concerns, and cybersecurity threats.
Q4: Which companies are leading the automotive AI market? A: Major players include Tesla, NVIDIA, Google (Waymo), Bosch, and Intel, each investing significantly in AI-driven automotive technologies.
Q5: What is the future of AI in the automotive industry? A: AI’s future in the automotive industry includes fully autonomous driving, advanced infotainment systems, augmented reality integration, and improved EV battery management.
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Our market intelligence reports are grounded in factual and relevant insights across various industries, including chemicals & materials, healthcare, food & beverage, automotive & transportation, energy & power, packaging, industrial equipment, building & construction, aerospace & defense, and semiconductor & electronics, among others.
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3D Sensors in Cars - Automation and AI Impact
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Introduction to 3D Sensors in Automotive Technology
In the rapidly evolving landscape of automotive technology, the integration of 3D sensors has become a cornerstone for advancing automation and artificial intelligence (AI). These sensors, which perceive the world in three dimensions, provide vehicles with the capability to understand their surroundings with remarkable accuracy. The synergy between 3D sensor technology and AI is reshaping the modern vehicle, enhancing not only safety and efficiency but also the overall user experience.
The Role of 3D Sensors in Modern Vehicles
3D sensors are critical components in the development of autonomous vehicles and advanced driver-assistance systems (ADAS). They operate by collecting data regarding the vehicle's environment and converting it into actionable information. Here's how they are transforming the automotive industry:
Real-Time Environment Mapping: 3D sensors enable real-time mapping of a vehicle's surroundings, facilitating navigation and obstacle detection. This capability is essential for the safe operation of autonomous vehicles.
Enhanced Safety Features: By providing precise distance measurements and detecting objects around the vehicle, 3D sensors contribute to features such as automatic braking, lane-keeping assistance, and adaptive cruise control.
Improved User Experience: These sensors also enhance user interfaces within the vehicle, allowing for intuitive gesture controls and personalized settings influenced by the passenger's position and proximity.
Types of 3D Sensors Used in the Automotive Industry
There are several types of 3D sensors utilized in vehicles, each offering unique benefits:
LiDAR (Light Detection and Ranging): Utilizes laser beams to measure distances, creating a precise 3D model of the environment. LiDAR is renowned for its high accuracy and ability to function in diverse lighting conditions.
Time-of-Flight (ToF) Sensors: Measure the time it takes for light to travel to an object and back, providing quick and accurate depth information. ToF sensors are widely used in gesture recognition systems.
Stereo Vision Cameras: Mimic human binocular vision by using two cameras to capture images, which are then fused to infer depth. These sensors are economical and versatile.
The Impact of AI Empowered by 3D Sensor Technology
The marriage between 3D sensors and AI systems is a game-changer for the automotive industry. Here's how AI enhances the capacities afforded by 3D sensors:
Data Interpretation: AI algorithms are pivotal in interpreting the vast amounts of data collected by 3D sensors, transforming raw information into actionable insights. This allows vehicles to make informed decisions rapidly and accurately.
Predictive Analysis: Through continuous learning and data analysis, AI can predict potential hazards and prevent accidents by anticipating the movements of objects and other vehicles.
Customization and Learning: AI-driven systems learn from the driver's behavior and preferences, enabling tailored assistance and improved interaction between humans and machines.
Applications of 3D Sensors Enhanced by AI
1. **Autonomous Driving:** The combination of 3D sensors and AI delivers heightened precision and reliability in autonomous vehicles, ensuring they navigate complex environments effectively. 2. **Driver Monitoring Systems:** AI leverages data from 3D sensors to monitor driver attentiveness, providing alerts or taking control if necessary to maintain safety. 3. **Personalized In-Cabin Experience:** AI uses 3D sensor inputs to create a personalized in-cabin environment, enhancing comfort and convenience for passengers through features like automatic seat adjustments based on individual preference.
The Future of 3D Sensors and AI in Vehicles
The potential for 3D sensors and AI in the automotive industry is immense and continues to grow as technology progresses. We can expect several advancements in the near future:
Increased Autonomy: As 3D sensing and AI technology mature, vehicles will gain greater autonomy, moving closer to fully autonomous operation.
Improved Cost-Efficiency: As production scales up, the cost of implementing sophisticated sensor technology will decrease, making advanced safety and convenience features more accessible to a broader audience.
Enhanced Integration: Future vehicles will likely integrate 3D sensors and AI more seamlessly, resulting in systems that are more intuitive and effective.
Challenges and Considerations
While the benefits of integrating 3D sensors with AI are notable, there are challenges to address: 1. **Data Privacy and Security:** As vehicles become increasingly connected and data-driven, ensuring the privacy and security of the information gathered by 3D sensors is paramount. 2. **Technical Limitations:** Overcoming the technical limitations of sensor accuracy and AI prediction in adverse weather and complex urban environments is an ongoing challenge. 3. **Regulatory Hurdles:** Developing a robust regulatory framework that keeps pace with technological advancements is essential for the widespread adoption of these technologies.
Conclusion
The integration of 3D sensors and AI represents a significant milestone in the journey towards more intelligent and autonomous vehicles. As these technologies continue to evolve, they promise to revolutionize the way we perceive automotive safety, efficiency, and user engagement. Despite challenges, the synergy between 3D sensors and AI is poised to redefine the boundaries of what's possible in modern automotive technology, steering us toward a future where driving is safer, more efficient, and highly interactive. Want more? Join the newsletter: https://avocode.digital/newsletter/
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RAPIDS cuDF Boosts Python Pandas On RTX-powered AI PCs
This article is a part of the AI Decoded series, which shows off new RTX workstation and PC hardware, software, tools, and accelerations while demystifying AI by making the technology more approachable.
AI is fostering innovation and increasing efficiency across sectors, but in order to reach its full potential, the system has to be trained on enormous volumes of high-quality data.
Data scientists are crucial to the preparation of this data, particularly in domain-specific industries where improving AI skills requires specialized, sometimes private data.
NVIDIA revealed that RAPIDS cuDF, a library that makes data manipulation easier for users, speeds up the pandas software library without requiring any code modifications. This is intended to assist data scientists who are facing a growing amount of labor. Pandas is a well-liked, robust, and adaptable Python computer language data analysis and manipulation toolkit. Data scientists may now utilize their favorite code base without sacrificing the speed at which data is processed with RAPIDS cuDF.
Additionally, NVIDIA RTX��AI hardware and technology help speed up data processing. Proficient GPUs are among them, providing the computing capacity required to swiftly and effectively boost AI across the board, from data science operations to model training and customization on PCs and workstations.
Python Pandas
Tabular data is the most often used data format; it is arranged in rows and columns. Spreadsheet programs such as Excel may handle smaller datasets; however, modeling pipelines and datasets with tens of millions of rows usually need data frame libraries in Python or other programming languages.
Because of the pandas package, which has an intuitive application programming interface (API), Python is a popular option for data analysis. However, pandas has processing speed and efficiency issues on CPU-only systems as dataset volumes increase. enormous language models need enormous datasets with a lot of text, which the library is infamously bad at handling.
Data scientists are presented with a choice when their data needs exceed pandas’ capabilities: put up with lengthy processing times or make the difficult and expensive decision to migrate to more complicated and expensive technologies that are less user-friendly.
RAPIDS cuDF-Accelerated Preprocessing Pipelines
Data scientists may utilize their favorite code base without compromising processing performance using RAPIDS cuDF.
An open-source collection of the Python packages with GPU acceleration called RAPIDS is intended to enhance data science and analytics workflows. A GPU Data Frame framework called RAPIDS cuDF offers an API for loading, filtering, and modifying data that is similar to pandas.Image credit to Nvidia
Data scientists may take use of strong parallel processing by running their current pandas code on GPUs using RAPIDS cuDF‘s “pandas accelerator mode,” knowing that the code will transition to CPUs as needed. This compatibility offers cutting-edge, dependable performance.
Larger datasets and billions of rows of tabular text data are supported by the most recent version of RAPIDS cuDF. This makes it possible for data scientists to preprocess data for generative AI use cases using pandas code.
NVIDIA RTX-Powered AI Workstations and PCs Improve Data Science
A recent poll indicated that 57% of data scientists use PCs, desktops, or workstations locally.
Significant speedups may be obtained by data scientists beginning with the NVIDIA GeForce RTX 4090 GPU. When compared to conventional CPU-based solutions, cuDF may provide up to 100x greater performance with NVIDIA RTX 6000 Ada Generation GPUs in workstations as datasets expand and processing becomes more memory-intensive.Image credit to Nvidia
With the NVIDIA AI Workbench, data scientists may quickly become proficient with RAPIDS cuDF. Together, data scientists and developers can design, collaborate on, and move AI and data science workloads across GPU systems with our free developer environment manager powered by containers. Several sample projects, like the cuDF AI Workbench project, are available on the NVIDIA GitHub repository to help users get started.
Additionally, cuDF is pre-installed on HP AI Studio, a centralized data science platform intended to assist AI professionals in smoothly migrating their desktop development environment to the cloud. As a result, they may establish, work on projects together, and manage various situations.
Beyond only improving performance, cuDF on RTX-powered AI workstations and PCs has further advantages. It furthermore
Offers fixed-cost local development on strong GPUs that replicates smoothly to on-premises servers or cloud instances, saving time and money.
Enables data scientists to explore, improve, and extract insights from datasets at interactive rates by enabling faster data processing for quicker iterations.
Provides more effective data processing later on in the pipeline for improved model results.
A New Data Science Era
The capacity to handle and analyze large information quickly will become a critical difference as AI and data science continue to advance and allow breakthroughs across sectors. RAPIDS cuDF offers a platform for next-generation data processing, whether it is for creating intricate machine learning models, carrying out intricate statistical analysis, or investigating generative artificial intelligence.
In order to build on this foundation, NVIDIA is supporting the most widely used data frame tools, such as Polaris, one of the fastest-growing Python libraries, which out-of-the-box dramatically speeds up data processing as compared to alternative CPU-only tools.
This month, Polars revealed the availability of the RAPIDS cuDF-powered Polars GPU Engine in open beta. Users of Polars may now increase the already blazingly fast dataframe library’s speed by up to 13 times.
Read more on govindhtech.com
#RAPIDScuDFBoosts#PythonPandas#RTXpowered#aipc#NVIDIARTX#applicationprogramminginterface#API#Python#generativeAI#GeForceRTX4090#news#cloud#NVIDIARTX6000#artificialintelligence#RAPIDScuDF#DataScienceEra#technology#technews#govindhtech
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EV Telematics control system
September 9, 2024
by dorleco
with no comment
eMOBILITY CONTROLS
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Introduction
The future of the automotive industry depends extensively on EV Telematics as it transitions towards electrification. This technology will be crucial in determining opportunities and obstacles and whether different strategies succeed or fail. Optimizing EV operations will require telematics’ valuable data on user behavior, energy economy, and vehicle performance. To properly utilize telematics as electrification advances, the sector must also solve obstacles like data security, infrastructure integration, and regulatory guidelines.
The increasing complexity associated with electric vehicle development will make telematics gathering data even more crucial in the future. Telematics systems will probably develop, gaining access to and using more data as the EV market steers the industry’s course. Telematics can add important context to the data collected and provide useful data about software and integrated technology systems when combined with a thorough analytics strategy. Telematics will continue to be a vital resource for the automotive industry as safety-optimized, technically advanced vehicles grow in capability.
Telematics in Automotive
Over the past few decades, telematics has been crucial to the automotive industry and is still an important part of product development. Telematics testing has been necessary for the correct validation of complex automotive systems and features in the integration of innovative technologies, such as advanced driver assistance systems (ADAS). Telematics goes beyond its conventional definition, which is the meeting point of information technology (IT) and telecommunications, encompassing data transmission, reception, and storage.
There are immediate obstacles, such range anxiety, to overcome before EV adoption becomes widely accepted. The ultimate goal is to lessen world reliance on foreign oil and improve the environment. Like many other areas of electrification, the optimization of EV telematics is strongly impacted by worries about battery life and constrained access to infrastructure for charging. Telematics is a useful tool that can help reduce range anxiety even though it can’t be removed because it offers immediate data on battery status, charging places, and the best routes. It’s critical to understand the overall operation of EV telematics before delving into the extra organizational advantages telematics can provide.
How does telematics work?
One of the benefits of telematics is that organizations have various platforms to choose from depending on their needs. Some teams may opt for Azure, while others may prefer Amazon Web Services. Regardless of the platform, the goal is to use a system that efficiently stores data points in the cloud. By presenting this data in charts or other visual formats, organizations can identify and extract valuable insights. This leads to thorough analytical evaluations, empowering them to make informed decisions. The telematics process follows a similar path for many, with information being gathered, stored, and transformed into actionable insights. This journey plays a key role in how organizations leverage telematics for product development, remaining an essential tool as OEMs continue to produce new EV models.
By connecting to the hardware and sensors of the car, the telematics device shows information about the battery life, the length and distance of the trip, the speed and acceleration, the GPS location, and vehicle maintenance. Additionally, telematics improves the effectiveness of subsystem interactions by directly connecting to EV subsystems.
For example, as infotainment subsystems grow in complexity to support more innovative technology, they will offer improved driver usability. Similarly, components like dash cameras, which assist drivers, are likely to become more common in future EV models. The CAN bus acts as a highway for all this information, enabling various components to communicate and transmit data seamlessly.
Important advantages telematics may offer to the development of EVs
The overall advantages that telematics brings to the advancement of EVs are as follows:
Transforms vehicle data into actionable assets: Transforms raw vehicle data into useful information that businesses may use to make decisions: Telematics transforms vehicle data into assets that can be used immediately.
Contextual evidence is offered for decision-making: Telematics data removes uncertainty and misunderstanding in the decision-making process by providing context, which supports decisions.
1. Monitor Driver Behaviour
Drivers are a valuable asset, but even one careless driver might put your company at serious risk. You can keep an eye on driver performance with EV telematics instead of depending on “How’s my driving?” hotline calls.
These solutions give fleet managers a thorough, up-to-date picture of driver behavior by continuously gathering data from fleet vehicles. Routes, distance traveled, driving time, average speed, incidences of severe braking or acceleration, and noteworthy occurrences like breakdowns or accidents are all included in the data that is recorded and easily accessed.
Fleet managers may intervene and rectify inefficient, careless, or risky driving with the use of this comprehensive understanding, which can reduce vehicle wear and tear, prevent accidents, prolong battery life, and eventually minimize insurance costs.
2. Monitor Vehicle Range in Real Time
There are some situations that even the best route planning cannot foresee. Unexpected circumstances may occur and force vehicles onto longer, less effective routes. This is not a big deal for a diesel fleet because drivers can fill up at the closest station. However, if there isn’t a proper charging station close by, it may be disastrous for an EV fleet.
For this reason, EV telematics is crucial for fleets that run on electricity. It gives fleet managers real-time information on the amount of remaining range in their vehicles, enabling them to swiftly adapt to unforeseen delays or detours by rerouting to incorporate adjacent charging stations as necessary.
3. Improve Routes Effectively
This supports proactive, data-driven route planning in addition to providing fleet managers with vital vehicle status updates and aiding in the prevention of theft. By planning routes that take into account the availability of charging infrastructure along the way, fleet managers can minimize problems like range anxiety and optimize battery efficiency.
Other benefits of real-time tracking include avoiding collisions, gridlock, and road construction. The majority of EV telematics packages frequently come with these features as standard.
4. Establish Charging Schedules and Alerts
One of the major challenges for fleet managers transitioning to electric vehicles is maintaining consistent vehicle charges. This requires careful coordination of schedules, routes, traffic conditions, and environmental factors such as elevation, weather, and temperature.
A robust EV telematics system like Trakm8 simplifies this process by leveraging real-time data from these and other factors. It offers continuous charging updates, allows fleet managers to prioritize vehicle recharging based on schedules and routes, and identifies available charging stations, enabling drivers to choose the optimal route for their current charging needs. If a vehicle’s battery reaches a critical level, fleet managers receive alerts to take immediate action.
5. Receive Health Alerts
EV telematics systems equipped with sensors give fleet managers valuable insights into vehicle and overall fleet health, enabling predictive maintenance.
Conclusion:
EV telematics is anticipated to change the automobile industry over the next ten years. While precise dates and benchmarks are unknown, progress is unavoidable. The investigation of telematics and analytics for contemporary transportation has created an opportunity that is unlikely to close. Organizations should keep spending money on sophisticated telemetry solutions as the drive toward electrification increases, realizing that more data is always beneficial.
Three things can be counted on from an efficient telematics system: performance optimization, a strong security framework, and zero data loss. Particularly, performance needs to be considered a fine art since only select groups may truly recognize its worth. Telematics should be seen as a safety measure even by individuals who don’t rely on it significantly. Most businesses try to minimize operational uncertainty, and telematics offers vital visibility in situations where incomplete or ambiguous data could result in errors or failures. Product development will be becoming more complicated as the market moves toward EVs with cutting-edge technology and greater complexity. For these technologies to work as intended, telematics and data insights will be essential.
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