#IDSS

[jcmarchi]

Christine Ortiz named director of MIT Technology and Policy Program

New Post has been published on https://thedigitalinsider.com/christine-ortiz-named-director-of-mit-technology-and-policy-program/

Christine Ortiz named director of MIT Technology and Policy Program

Christine Ortiz, the Morris Cohen Professor of Materials Science and Engineering at MIT, has been named the next director of the MIT Technology and Policy Program (TPP).

“Christine is a force of nature,” says Fotini Christia, the Ford International Professor of the Social Sciences and director of the MIT Institute for Data, Systems, and Society (IDSS), which houses TPP. “Her years of service to the Institute, her support of grad students in particular, her research focus on innovation and the social good, and her network of connections across academia, industry, and government all make her the right leader for the program. At a time when technology has become such a critical part in informing evidence-based policy, I am confident that Christine will take TPP to the next level.”

Ortiz is a professor, engineer, scientist, entrepreneur, former dean, corporate board director, and foundation trustee. She is an internationally recognized researcher in biotechnology and biomaterials, advanced and additive manufacturing, and sustainable and socially-directed materials design. She has over 30 years of experience in science, engineering, research and development, and technology innovation. She has published more than 210 publications and supervised the research projects of more than 300 students, postdocs, and researchers from 60 different majors and disciplines. She has received more than 30 national and international honors, including the Presidential Early Career Award in Science and Engineering.

Ortiz served as dean for graduate education for MIT between 2010 and 2016, supporting all MIT graduate programs and more than 8,000 graduate students, where she led new initiatives in global education, educational technologies, and mentorship. She founded the nonprofit higher education and research institution Station 1 Laboratory Inc. (Station1), which is focused on socially-directed science and technology education, research, and innovation and maintains national and global reach.

Through her work at MIT and Station1, Ortiz has led the development of programs involving collaborations with more than 100 technology-focused startup companies and social enterprises. She serves on the board of directors of two public companies, Mueller Water Products (a water infrastructure and technology company) and Enovis (a medical technology company); is a member of the Commonwealth of Massachusetts Apprenticeship Council and the MIT Museum Advisory Board; and is a trustee of the Essex County Community Foundation in Massachusetts.

“I am deeply honored to take on the role of director of the TPP program, and inspired by its focus and impressive legacy of contributions related to the integration of responsible technological innovation, policy, community, and societal impact,” says Ortiz. “I look forward to supporting and advancing the TPP mission and collaborating with the incredible TPP students, faculty, alumni, and partners involved in this important and transformative work.”

Ortiz succeeds IDSS and earth, atmospheric, and planetary science Professor Noelle Selin, who was TPP director from 2018 to 2023. IDSS Senior Research Engineer Frank Field served as interim director this past year.

[ddlockk]

idk how to post art

anyway i remembered i had free will and doodled my boyfriend with his partner pokemon :3

the gallade is a redraw of Gallade V illustration rare from lost origin, which is bf’s favorite full art, but i redrew it with his mega Gallade, and his other partner is Phantump :’3c

I’m gonna paint these proper and give them to him,, but y’all get to see the first sketches and scans :’’3

[10itemsorwes]

Listen. LISTEN

I will never shut up about Pool Boys EVER

But I have to say. This song? This one here?

Not only is it FIRE AS FUCK

But it also matched Mr Sunday HSR SO FUCKING WELL. Please GIVE MY GIRL BAND A CHANCE 💔💔💔

He's a trixie relegated to a lapdog :(((

Trapped inside a clever boy's laptop 💥💥

BETRAYED AND BURIED IN THE NIGHT 🙏

[amourcherie606]

by the gooberest of goober bingas do i fucking LOVEEE THESE NEW IDSS god!!! they are so adorable I feel insane but also the symbolism with these goes hard af to and they really suit ishmael and gregs . (plus pablito plushie!!!)

Gregor and Ish both witnessing horrors (gregs the war, ish the great lake) that you can only really understand by witnessing it first hand like them. Just like a kid who is scared of a "monster under their bed" since there actually is a monster there, you have to see it to believe it

in their corrosion egos, Gregor is the monster. It represents how he feels about himself, a beast to be weary of.

In Ishmales corrosion ego, I argue that because you can see bits of Ishmaels hair while in Gregors you cannot see a single piece of him, this corrosion is like a sailor warning you of the depths. In her normal ego attack, she tries to warn you of the monsters that lurk by feigning ignorance. in her corrosion however its basically saying "welp you asked for this. i tried to warn you." as if you were persistent about there being a monster.

also something to note is they both have the same eye closed, perhaps representing them trying to feigin ignorance / reassure you to not worry about the monsters luring within

the monsters also representing them (yes ishy too - shes got crazy repressed anger)

Yes I'm normal about limbus. These EGOs unironically go so hard. I love how pjm jumps at the chance to thrown Gregor into a gown when the chance arrives.

[prettiedup]

I HATE THAT SHES SUCH A DUMB NAIVE BIMBO WITHOUT A SPINE but even though I absolutely despise her personality I'm so hooked on this series,like this is smth that happened to someone very dear to me so it hits home.anyways even though I feel like slapping the shit out of her,i LOVE this fic.this isn't meant as a insult or idss to your works,i genuinely love and enjoy reading it albeit I get a little frustrated sometimes

aw i get wym!! thank you veriii much for takin the time to read wht i put out <33 🥹

honestly when i started this series out , i did not intend to make her so spineless , my intention was to present ray of sunshine x solemn frat boy but like i think i lost da plot ?? nd i think we’re n too deep to rewrite her so i dunnooooo 😭

[usafphantom2]

Tornado Italian prototype maiden flight on 5 Dec 1975 from Turin. The Aeronautica Militare received 100 Tornado IDSs (16 A-200s were subsequently converted to ECR configuration) As stop-gap for 10yrs Aeronautica Militare additionally operated 24 Tornado ADVs in air defence role.

@ron_eisele via X

[whisnews21]

HOF015 Doc Holiday Hall Of Fame Recording Artist  Doc Holiday has been inducted into the Independent Superstars ‘Recording Artist’ Hall of Fame. Frans Maritz (Wildhorse Entertainment) signed the official certificate placing  Doc into this prestigious organization located in South Africa. Doc Holiday has the distinct honor of being inducted into the IDSS Hall of Fame for his life-time contribution to the Independent Music Industry as a ‘Recording Artist’. Doc is seen holding his award below in the animated Hall Of Fame, confirming his induction into the Hall Of Fame. “Being a recording artist and having the opportunity to do what I love best is such a blessing. I am honored to have worked with some of the best musicians on the west coast, east coast, and overseas. It’s all great! I greatly enjoy the creative process of recording music. A big thank you goes out to Frans Maritz and all those who support me and my music! I want to add that it is a joy knowing that music is part of my life, no matter where I am or what I’m doing thank you.” Doc  Holiday

[sunaleisocial]

MIT researchers develop an efficient way to train more reliable AI agents

New Post has been published on https://sunalei.org/news/mit-researchers-develop-an-efficient-way-to-train-more-reliable-ai-agents/

MIT researchers develop an efficient way to train more reliable AI agents

Fields ranging from robotics to medicine to political science are attempting to train AI systems to make meaningful decisions of all kinds. For example, using an AI system to intelligently control traffic in a congested city could help motorists reach their destinations faster, while improving safety or sustainability.

Unfortunately, teaching an AI system to make good decisions is no easy task.

Reinforcement learning models, which underlie these AI decision-making systems, still often fail when faced with even small variations in the tasks they are trained to perform. In the case of traffic, a model might struggle to control a set of intersections with different speed limits, numbers of lanes, or traffic patterns.

To boost the reliability of reinforcement learning models for complex tasks with variability, MIT researchers have introduced a more efficient algorithm for training them.

The algorithm strategically selects the best tasks for training an AI agent so it can effectively perform all tasks in a collection of related tasks. In the case of traffic signal control, each task could be one intersection in a task space that includes all intersections in the city.

By focusing on a smaller number of intersections that contribute the most to the algorithm’s overall effectiveness, this method maximizes performance while keeping the training cost low.

The researchers found that their technique was between five and 50 times more efficient than standard approaches on an array of simulated tasks. This gain in efficiency helps the algorithm learn a better solution in a faster manner, ultimately improving the performance of the AI agent.

“We were able to see incredible performance improvements, with a very simple algorithm, by thinking outside the box. An algorithm that is not very complicated stands a better chance of being adopted by the community because it is easier to implement and easier for others to understand,” says senior author Cathy Wu, the Thomas D. and Virginia W. Cabot Career Development Associate Professor in Civil and Environmental Engineering (CEE) and the Institute for Data, Systems, and Society (IDSS), and a member of the Laboratory for Information and Decision Systems (LIDS).

She is joined on the paper by lead author Jung-Hoon Cho, a CEE graduate student; Vindula Jayawardana, a graduate student in the Department of Electrical Engineering and Computer Science (EECS); and Sirui Li, an IDSS graduate student. The research will be presented at the Conference on Neural Information Processing Systems.

Finding a middle ground

To train an algorithm to control traffic lights at many intersections in a city, an engineer would typically choose between two main approaches. She can train one algorithm for each intersection independently, using only that intersection’s data, or train a larger algorithm using data from all intersections and then apply it to each one.

But each approach comes with its share of downsides. Training a separate algorithm for each task (such as a given intersection) is a time-consuming process that requires an enormous amount of data and computation, while training one algorithm for all tasks often leads to subpar performance.

Wu and her collaborators sought a sweet spot between these two approaches.

For their method, they choose a subset of tasks and train one algorithm for each task independently. Importantly, they strategically select individual tasks which are most likely to improve the algorithm’s overall performance on all tasks.

They leverage a common trick from the reinforcement learning field called zero-shot transfer learning, in which an already trained model is applied to a new task without being further trained. With transfer learning, the model often performs remarkably well on the new neighbor task.

“We know it would be ideal to train on all the tasks, but we wondered if we could get away with training on a subset of those tasks, apply the result to all the tasks, and still see a performance increase,” Wu says.

To identify which tasks they should select to maximize expected performance, the researchers developed an algorithm called Model-Based Transfer Learning (MBTL).

The MBTL algorithm has two pieces. For one, it models how well each algorithm would perform if it were trained independently on one task. Then it models how much each algorithm’s performance would degrade if it were transferred to each other task, a concept known as generalization performance.

Explicitly modeling generalization performance allows MBTL to estimate the value of training on a new task.

MBTL does this sequentially, choosing the task which leads to the highest performance gain first, then selecting additional tasks that provide the biggest subsequent marginal improvements to overall performance.

Since MBTL only focuses on the most promising tasks, it can dramatically improve the efficiency of the training process.

Reducing training costs

When the researchers tested this technique on simulated tasks, including controlling traffic signals, managing real-time speed advisories, and executing several classic control tasks, it was five to 50 times more efficient than other methods.

This means they could arrive at the same solution by training on far less data. For instance, with a 50x efficiency boost, the MBTL algorithm could train on just two tasks and achieve the same performance as a standard method which uses data from 100 tasks.

“From the perspective of the two main approaches, that means data from the other 98 tasks was not necessary or that training on all 100 tasks is confusing to the algorithm, so the performance ends up worse than ours,” Wu says.

With MBTL, adding even a small amount of additional training time could lead to much better performance.

In the future, the researchers plan to design MBTL algorithms that can extend to more complex problems, such as high-dimensional task spaces. They are also interested in applying their approach to real-world problems, especially in next-generation mobility systems.

The research is funded, in part, by a National Science Foundation CAREER Award, the Kwanjeong Educational Foundation PhD Scholarship Program, and an Amazon Robotics PhD Fellowship.

[jcmarchi]

Community members receive 2024 MIT Excellence Awards, Collier Medal, and Staff Award for Distinction in Service

New Post has been published on https://thedigitalinsider.com/community-members-receive-2024-mit-excellence-awards-collier-medal-and-staff-award-for-distinction-in-service/

Community members receive 2024 MIT Excellence Awards, Collier Medal, and Staff Award for Distinction in Service

On Wednesday, June 5, 13 individuals and four teams were awarded MIT Excellence Awards — the highest awards for staff at the Institute. Colleagues holding signs, waving pompoms, and cheering gathered in Kresge Auditorium to show their support for the honorees. In addition to the Excellence Awards, staff members were honored with the Collier Medal, the Staff Award for Distinction in Service, and the Gordon Y. Billard Award. 

The Collier Medal honors the memory of Officer Sean Collier, who gave his life protecting and serving MIT; it celebrates an individual or group whose actions demonstrate the importance of community. The Staff Award for Distinction in Service is presented to a staff member whose service results in a positive lasting impact on the Institute.

The Gordon Y. Billard Award is given annually to staff, faculty, or an MIT-affiliated individual(s) who has given “special service of outstanding merit performed for the Institute.” This year, for the first time, this award was presented at the MIT Excellence Awards and Collier Medal celebration. 

The 2024 MIT Excellence Award recipients and their award categories are: 

Innovative Solutions 

Nanotechnology Material Core Staff, Koch Institute for Integrative Cancer Research, Office of the Vice President for Research (Margaret Bisher, Giovanni de Nola, David Mankus, and Dong Soo Yun)

Bringing Out the Best 

Salvatore Ieni 

James Kelsey 

Lauren Pouchak

Serving Our Community 

Megan Chester 

Alessandra Davy-Falconi 

David Randall 

Days Weekend Team, Department of Custodial Services, Department of Facilities: Karen Melisa Betancourth, Ana Guerra Chavarria, Yeshi Khando, Joao Pacheco, and Kevin Salazar 

IMES/HST Academic Office Team, Institute for Medical Engineering and Science, School of Engineering: Traci Anderson, Joseph R. Stein, and Laurie Ward 

Team Leriche, Department of Custodial Services, Department of Facilities: Anthony Anzalone, David Solomon Carrasco, Larrenton Forrest, Michael Leriche, and Joe Vieira

Embracing Diversity, Equity, and Inclusion 

Bhaskar Pant 

Jessica Tam

Outstanding Contributor 

Paul W. Barone 

Marcia G. Davidson 

Steven Kooi 

Tianjiao Lei 

Andrew H. Mack

2024 MIT Excellence Awards + Collier Medal Ceremony

The 2024 Collier Medal recipient was Benjamin B. Lewis, a graduate student in the Institute for Data, Systems and Society in the MIT Schwarzman College of Computing. Last spring, he founded the Cambridge branch of End Overdose, a nonprofit dedicated to reducing drug-related overdose deaths. Through his efforts, more than 600 members of the Greater Boston community, including many at MIT, have been trained to administer lifesaving treatment at critical moments.

This year’s recipient of the 2024 Staff Award for Distinction in Service was Diego F. Arango (Department of Custodial Services, Department of Facilities), daytime custodian in Building 46. He was nominated by no fewer than 36 staff, faculty, students, and researchers for creating a positive working environment and for offering “help whenever, wherever, and to whomever needs it.”

Three community members were honored with a 2024 Gordon Y. Billard Award

Deborah G. Douglas, senior director of collections and curator of science and technology, MIT Museum

Ronald Hasseltine, assistant provost for research administration, Office of the Vice President for Research

Richard K. Lester, vice provost for international activities and Japan Steel Industry Professor of Nuclear Science and Engineering, School of Engineering

Presenters included President Sally Kornbluth; MIT Chief of Police John DiFava and Deputy Chief Steven DeMarco; Vice President for Human Resources Ramona Allen; Executive Vice President and Treasurer Glen Shor; Provost Cynthia Barnhart; Lincoln Laboratory director Eric Evans; Chancellor Melissa Nobles; and Dean of the School of Engineering Anantha Chandrakasan.

Visit the MIT Human Resources website for more information about the award recipients, categories, and to view photos and video of the event.

[transparentcomputertidalwave]

high_octane_RIAA PRE HI FI BASSO RUMORE CON FET MOS TRANSISTOR Questo è lo schema del pre phono ad alto numero di ottani.

Forse avrei dovuto dire prima che non rispetta affatto le attuali regole di "buona" progettazione di circuiti: usa bjt invece di jfet RIAA attiva invece di una passiva un feedback piuttosto negativo invece di eseguire un ciclo aperto Almeno utilizza un regolatore shunt come alimentatore😉

Può essere inserito in una scatola grande 10x8cm. Il punto di partenza per questo circuito single ended è un circuito a 3 transistor di HP Walker e risale agli anni '60. Ci sono alcune informazioni anche nel libro di Douglas Self sulla progettazione di piccoli segnali!

A margine, il regolatore shunt opamp con le sue eccellenti prestazioni è originariamente di Ovidiu (sinestesia) e il particolare schema di compensazione della frequenza di Edmond Stuart.

I punti indicati come SENSE sono per il telerilevamento utilizzato dal regolatore shunt, in modo che la tensione sia regolata direttamente al primo stadio! Il preamplificatore phono ad alto numero di ottani Benvenuti al preamplificatore phono ad alto numero di ottani! 25-10-2015 / Aggiornamento del 10-06-2017 Hannes Allmaier Questo sito ha lo scopo di aiutare a costruire questo preamplificatore phono. Il circuito è stato originariamente pubblicato in Linear Audio n. 6: http://linearaudio.net/article-detail/2159 e il thread del forum dedicato è disponibile all'indirizzo http://www.diyaudio.com/forums/analo…no-preamp.html dove tutti sono calorosamente invitati a contribuire! Schemi Lo schema del preamplificatore phono ad alto numero di ottani pubblicato in LinearAudio: È stato anche pubblicato qui: http://www.diyaudio.com/forums/analo…ml#post3631742 Le schede Si prega di notare che le schede regalate sono realizzate 1:1 dalla mia costruzione del prototipo finale. Pertanto, anche queste hanno qualche verruca, bug e tutto il resto, niente di serio, ma vorrai leggere le seguenti note di costruzione. In termini di transistor , è possibile l'uso di molti transistor bipolari a basso rumore, anche se ovviamente consiglio l'uso delle parti specificate originariamente nonostante siano difficili da ottenere. Se si utilizzano transistor diversi, controllare il pin-out e regolare di conseguenza l'orientamento del transistor, se necessario. Il 2SC2547 utilizzato segue il pinout Emettitore-Collettore-Base (ECB) se visto frontalmente . Si noti che il transistor CCS di uscita Q4/Q104 è una parte piuttosto speciale, vale a dire un MOSFET a modalità di svuotamento, che è normalmente acceso. Dalle caratteristiche elettriche è simile ai comuni JFET ma con un IDSS molto più elevato. Grazie alle sue proprietà speciali è difficile da sostituire e si consiglia l'uso del DN2540 originale. Questa parte è in piena produzione e può essere ottenuta negli Stati Uniti da Mouser e Digikey. Se avete domande, inviatemi un'e-mail e cercherò di aiutarvi. Spero che questo piccolo circuito vi piaccia tanto quanto a me! Buona costruzione! Si prega di notare la nota dell'editore di LinearAudio: questo documento fornisce note e informazioni per la costruzione del preamplificatore phono High-Octane come pubblicato in Linear Audio Vol 6 (settembre 2013). L'autore ha anche gentilmente fornito i file Gerber del PCB per uso personale e/o di studio. Si prega di contattare l'autore se si prevede di utilizzare questo progetto o parti di esso per uno scopo commerciale. Note di costruzione Le schede sono identiche a quella che ho utilizzato per il mio prototipo (versione v3e), che è stata migliorata durante i test. Quindi questa versione manca di alcune piccole modifiche per renderla la versione finale 'f'. Lo schema mostrato nell'articolo è corretto e considera tutte queste modifiche. Regolatore di tensione: NON inserire CP1 (danneggerà l'amplificatore operazionale) e NON mettere a terra la sua seconda gamba (che è collegata all'ingresso dell'amplificatore operazionale); lo schema mostra correttamente come dovrebbe essere collegato CP1 (o semplicemente ometterlo) Ingressi amplificatore: omettere C6/C106 (C6/C106 è un residuo del circuito originale in cui formava la capacità di carico della cartuccia, sostituita in questa versione dai condensatori di carico commutabili); Ingressi amplificatore: collegare R2/R102 con un ponticello;

[jaroeducation1]

Most Trusted Online Higher Education Company | Jaro Education

In the evolving landscape of online education, Jaro Education has emerged as a trusted leader in India, specializing in online higher education and executive programs. Founded in 2009 by Dr. Sanjay Salunkhe, Jaro Education stands out not only for its extensive program offerings but also for its commitment to quality, career advancement, and student satisfaction. With a focus on the needs of working professionals, Jaro has pioneered executive education programs in collaboration with some of the most prestigious institutions in India and abroad, making it one of India’s most respected EdTech companies.

A Strong Foundation in Quality and Trust

Jaro Education has built its reputation on the foundations of trust, quality, and industry relevance. As an EdTech company, Jaro was among the first to introduce executive and online education to the Indian market, setting new standards for remote learning. This commitment to quality and transparency has been recognized by prestigious awards, including the Leading EdTech Company of the Year by Times Business Award 2024 and India’s Most Trusted Online Higher Education accolade from Outlook Business Icon 2023. These awards underscore Jaro’s mission to make high-quality education accessible, effective, and rewarding.

Collaboration with Top Universities

One of Jaro Education’s core strengths is its collaboration with top-ranked universities and institutes, both in India and internationally. Through partnerships with institutions like the Massachusetts Institute of Technology’s Institute for Data, Systems, and Society (MIT IDSS), The Wharton Business School’s Wharton Interactive, and top Indian institutions such as IIM Ahmedabad, IIM Kozhikode, and IIT Madras, Jaro brings cutting-edge courses to learners. These partnerships ensure that students have access to updated curricula, industry-relevant skills, and esteemed faculty, making Jaro’s programs credible and impactful.

Programs Designed for Career Advancement

Jaro Education offers a diverse range of over 150 programs in fields like management, technology, and techno-functional studies, all geared toward career growth. By providing flexible, online courses, Jaro caters to professionals across various career stages, from entry-level roles to C-suite executives. Many of these programs focus on areas with high industry demand, such as data analytics, digital marketing, finance, and leadership development. With 23+ learning centers across India, Singapore, and the USA, Jaro Education aims to transform careers by offering programs that provide real-world value.

Empowering Professionals through Innovation and Support

Jaro’s approach to online education includes a strong emphasis on innovation and support, creating an engaging learning experience that meets students’ needs. The company’s support infrastructure ensures that learners have access to resources, mentorship, and guidance, whether they’re new to online learning or seasoned professionals looking to upgrade their skills. Jaro’s use of technology allows for seamless content delivery, regular assessments, and networking opportunities, creating a supportive and effective educational environment.

A Vision for the Future of Education

As Jaro Education continues to grow, its vision remains focused on transforming professional education by blending traditional academic rigor with modern, technology-driven solutions. By nurturing an ecosystem where quality, accessibility, and industry alignment come together, Jaro Education empowers learners to thrive in today’s competitive job market. With its established credibility and ongoing commitment to student success, Jaro Education is well-positioned to shape the future of online higher education in India and beyond.

[portlandnet]

2024.10.02 NET CDE Training - Deployment After Dark

Resources and products mentioned:

In depth presentations by Ed Kraus which go into more depth: Power to the People! Planning for Emergency Electricity Part 1 - How to connect things together, how to use power safely, and how to calculate the power and energy you need to function Part 2 - How we can generate and store power for home and for our NET team, so we can keep going more than one or two operational periods

Dark Adaptation of the Human Eye and the Value of Red Flashlights

Hourly weather forecast

IDSS Forecast Points

Clackamas Town Center AAR

Hurricane Helene amateur radio repeater broadcast

Products mentioned and suggested by NETs (not endorsed by PBEM):

3 battery replacement cartridge

Swift RL Headlamp

DanForce USB Rechargeable LED Headlamp

Olight Arkfeld Adjustable Right-angle Pocket Flashlight

Nebo Slide King 4K Work Light & Flashlight

Nebo Slim+ 1200 Pocket Light, Laser, and Power Bank

[hotnew-pt]

Christine Ortiz nomeada diretora do Programa de Tecnologia e Política do MIT | Notícias do MIT #ÚltimasNotícias

Hot News Christine Ortiz, professora Morris Cohen de Ciência e Engenharia de Materiais do MIT, foi nomeada a próxima diretora do Programa de Tecnologia e Política (TPP) do MIT. “Christine é uma força da natureza”, diz Fotini Christia, a Professora Internacional Ford de Ciências Sociais e diretora do Instituto de Dados, Sistemas e Sociedade (IDSS) do MIT, que abriga o TPP. “Seus anos de serviço…

[whisnews21]

IDSS Hall Of Fame "Songwriter" Doc Holiday  Doc Holiday has been inducted into the Independent Superstars “Songwriting” Hall of Fame. Frans Maritz (Wildhorse Entertainment) signed the official certificate placing  Doc into this prestigious organization located in South Africa. Doc Holiday has the distinct honor of being inducted into the IDSS Hall of Fame for his life-time contribution to the Independent Music Industry as a Songwriter. Doc is seen holding his award below in the animated Hall Of Fame, confirming his induction into the Hall Of Fame. “Writing music and having the opportunity to do so is such a blessing. I am honored to have written music for some of the best artists in the world. A big thank you goes out to Frans Maritz and all those who support me and my music! It is a great honor for me to be inducted into the IDSS Songwriters Hall of Fame! Having the ability to write music in my life is a joy, no matter where I am or what I do, thank you.” Doc  Holiday

[heavydutymachinerepairguide]

This article mainly introduces how to perform brake exhaust operation on Isuzu vehicles

ISUZU IDSS MX2-T Diagnostic Adapter System Support G- IDSS/US-IDSS/E-IDSS (Included DHL Shipping)

Air in the brake hydraulic circuit will result in dangerous reduced braking efficiency.

The brake hydraulic circuit must be bled whenever the vehicle has been operated with the reservoir brake fluid level at an excessively low level or any time the brake pipes have been disconnected in the course of brake servicing.

The brake bleeding procedure requires the cooperative action of two men.

Brake Bleeding Procedure Bleed the brake hydraulic circuit in the following se- quence. LHD Left-hand rear wheel (vehicle equipped with ABS) → Right-hand rear wheel → DSPV or LSPV → (If so equipped) → Right-hand front wheel → Left-hand front wheel RHD Left-hand rear wheel (vehicle equipped with ABS) → Right-hand rear wheel → DSPV or LSPV (If so equipped) → Left-hand front wheel → Right-hand front wheel

1. Check to make sure that the service area is well ventilated. Apply the parking brake firmly. Start the engine and allow it to run until the vacuum pressure rises suf- ficiently.

Notice: Brake booster (master-vac) will be adversely effected if bleeding operation is performed without running engine. If the vehicle is equipped with ABS, be sure to remove the ABS fuse (60 A) from the fuse box before beginning the air bleeding procedure. If this is not done, air is not bled completely from ABS unit, so that ABS unit will be broken. (Be sure to install the ABS fuse (60 A) in speci- fied position when the air bleeding procedure is complet- ed.)

2. Fill the brake fluid reservoir (1) up to the “MAX” lev- el with clean brake fluid.

It may be necessary to replenish the brake fluid reservoir several times during the bleeding proce- dure to maintain the required level of brake fluid.

Notice: Pour the brake fluid carefully so as not to produce air bubbles. 3. Remove the right hand rear wheel cylinder (left hand rear wheel cylinder if ABS is equipped) bleed- er screw rubber cap and wipe it clean. 4. Connect one end of a vinyl tube (2) to the bleeder screw. 5. Insert the other end of the vinyl tube into a trans- parent container approximately 1/3 full of brake flu- id. 6. Depress the brake pedal (3) slowly 3 times and hold it depressed.

7. Loosen the bleeder screw (4) approximately 1/2 of a turn.

This will release the brake fluid with air bubbles into the transparent container (5).

9. Slowly release the brake pedal.

10. Replace the bleeder screw rubber cap.

Notice:

In order to bleed the air completely from the brake line, repeat the above procedures.

Bleeding of the brake fluid circuit should be performed for front wheel 10 times or more, for rear wheel 15 times or more.

11. Repeat Steps 3 through 10 for each bleeder screws as mentioned before.

12. After the air bleeding procedure is finished in all wheels, depress the brake pedal, and verify wheth-

04.2023 ISUZU E- IDSS Diagnostic Software Download and Installation Service

er there is no abnormality in operation of the brake system. 13. After the air bleeding procedure for individual wheel is completed, inspect the fluid level of the reservoir tank. If it is insufficient, replenish brake fluid. Do not overfill above “MAX” level. 14. Stop the engine.