Journal articles: 'Massachusetts Institute of Technology. Department of Electrical Engineering'

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Zeitlin, Gerald L. "Professor Joseph Warren Horton (1889–1967): Biological Engineer." Journal of Medical Biography 13, no. 1 (February 2005): 39–45. http://dx.doi.org/10.1177/096777200501300109.

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Joseph Warren Horton graduated with a degree in electrical engineering from the Massachusetts Institute of Technology (MIT) in 1914. He became involved in the early development of electrical measurement devices, televised image transmission, and the detection of underwater sound transmission. In the mid-1930s he was appointed the first leader of the newly created Department of Biological Engineering at MIT and in this position he made major contributions to the application of physics to human physiology, in particular by increasing the safety of explosive inhalational anaesthetic agents.

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Pransky, Joanne. "The Pransky interview: Dr Howard Chizeck, founder, Olis Robotics; Professor, Electrical and Computer Engineering, University of Washington." Industrial Robot: the international journal of robotics research and application 46, no. 4 (June 17, 2019): 467–70. http://dx.doi.org/10.1108/ir-05-2019-0102.

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Purpose The following paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD and innovator regarding his pioneering efforts and his personal journey of bringing a technological invention to market. This paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Howard Chizeck, Professor of Electrical and Computer Engineering and Adjunct Professor of Bioengineering at the University of Washington (UW). Professor Chizeck is a research testbed leader for the Center for Neurotechnology (a National Science Foundation Engineering Research Center) and also co-director of the UW BioRobotics Laboratory. In this interview, Chizeck shares the details on his latest startup, Olis Robotics. Findings Howard Jay Chizeck received his BS and MS degrees from Case Western Reserve University and the ScD degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. He served as Chair of the Department of Systems, Control and Industrial Engineering at Case Western Reserve University and was also the Chair of the Electrical and Computer Engineering Department at the University of Washington. His telerobotic research includes haptic navigation and control for telerobotic devices, including robotic surgery and underwater systems. His neural engineering work involves the design and security of brain-machine interfaces and the development of devices to control symptoms of essential tremor and Parkinson’s disease. Originality/value Professor Chizeck was elected as a Fellow of the IEEE in 1999 “for contributions to the use of control system theory in biomedical engineering” and he was elected to the American Institute for Medical and Biological Engineering (AIMBE) College of Fellows in 2011 for “contributions to the use of control system theory in functional electrical stimulation assisted walking.” From 2008 to 2012, he was a member of the Science Technology Advisory Panel of the Johns Hopkins Applied Physics Laboratory. Professor Chizeck currently serves on the Visiting Committee of the Case School of Engineering (Case Western Reserve University). He is a founder and advisor of Controlsoft Inc (Ohio) and also is a founder and Chair of the Board of Directors of Olis Robotics, Inc., which was established in 2013 (under the name of BluHaptics) to commercialize haptic rendering, haptic navigation and other UW telerobotic technologies. He holds approximately 20 patents, and he has published more than 250 scholarly papers.

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M Welsh, Emily, and Alexis R Abramson. "A Measure of Intra-University Collaboration: Faculty Gender Imbalance on Doctoral Dissertation Committees in Engineering Disciplines." International Journal of Doctoral Studies 13 (2018): 457–69. http://dx.doi.org/10.28945/4141.

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Aim/Purpose: This article presents an analysis of female faculty representation on dissertation committees in comparison to the percentage of women faculty in departments of engineering in 2013 and 2014. Background: Collaboration is an indication of a robust research program, and the consequences of collaboration may benefit one’s academic career in numerous ways. Gender bias, however, may impede the development of intra-university collaborations, thereby inhibiting professional success. Methodology: Nine universities were examined (Carnegie Mellon University, Case Western Reserve University, Cornell University, Duke University, Massachusetts Institute of Technology, Northwestern University, Rice University, University of Pittsburgh, and Vanderbilt University) across six different engineering departments (civil, chemical, mechanical, materials, biomedical, and electrical). Contribution: This paper reveals how an analysis of gender balance of faculty representation on doctoral committees can help advance an institution's understanding of the level to which collaboration with female colleagues may be occurring, thereby providing insight to the climate for women. Findings: A potential gender imbalance does exist in select cases. In aggregate, the percentage of female engineering faculty on dissertation committees compared to within each university revealed a disparity of less than 6% points. Recommendations for Practitioners: Examining how well represented female engineering faculty are on dissertation committees can be an important measure of levels of collaboration within an institution and of how well women are being integrated into the existing culture. Recommendation for Researchers: More in-depth research, including a study of correlation with other relevant indicators, may reveal additional insight to why gender bias exists on doctoral committees and how to lessen its occurrence. Impact on Society: The results of this study may increase awareness of gender bias and encourage faculty to be more inclusive and collaborative, particularly with their female colleagues, and as a result may help improve the climate for women faculty in engineering. Future Research: This study opens a discussion about the potential for gender imbalance and bias within an institution, particularly with respect to collaboration and inclusion. Future work may explore other indicators beyond doctoral committee representation.

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WATANABE, Yutaro, and Bryan R. MOSER. "Study Abroad at Massachusetts Institute of Technology (MIT)." Journal of The Institute of Electrical Engineers of Japan 143, no. 8 (August 1, 2023): 525–28. http://dx.doi.org/10.1541/ieejjournal.143.525.

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Hutchinson, Harry. "An Industry of R&D." Mechanical Engineering 136, no. 10 (October 1, 2014): 44–47. http://dx.doi.org/10.1115/10.2014-oct-3.

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This article discusses how Singapore is amassing a brain trust to compensate for resources that nature didn’t provide to it. CREATE or “Campus for Research Excellence and Technological Enterprise” is one of the most ambitious projects of Singapore’s National Research Foundation. CREATE seeks to unite Singapore’s universities with world-class research institutions to study issues ranging from urban planning to medical treatment. The organization has partnerships with 10 foreign universities, including Massachusetts Institute of Technology, the Technical University of Munich, Cambridge University, and the Swiss Federal Institute of Technology. There are five research groups in CREATE’s partnership with Massachusetts Institute of Technology. The research areas are infectious diseases, environmental sensing and modeling, biosystems and micromechanics, urban mobility, and low-energy electronic systems. The University of California, Berkeley, has two research programs with CREATE. One aims to improve the efficiency of buildings in the tropics, and the other is working on raising the electrical output of photovoltaic devices.

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Brown, David A., Paul J. Gendron, and John R. Buck. "Graduate education in acoustic engineering, transduction, and signal processing University of Massachusetts Dartmouth." Journal of the Acoustical Society of America 152, no. 4 (October 2022): A123. http://dx.doi.org/10.1121/10.0015756.

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The University of Massachusetts Dartmouth has an established graduate program of study with a concentration in Applied Acoustics leading to the M.S. and Ph.D. degree in Electrical Engineering. The program offers courses and research opportunities in the area of electroacoustic transduction, underwater acoustics, and signal processing. Courses include the Fundamentals of Acoustics, Random Signals, Underwater Acoustics, Introduction to Transducers, Electroacoustic Transduction, Medical Ultrasonics, Digital Signal Processing, Detection Theory, and Estimation Theory. The ECE department established the university’s indoor underwater acoustic test and calibration facility which is one of the largest academic facilities supporting undergraduate and graduate thesis and sponsored research. The department has collaborations with many marine acoustic related companies including nearby Naval Undersea Warfare Center in Newport, RI and Woods Hole Oceanographic Institute in Cape Cod, MA. The presentation will highlight recent theses and dissertations, course offerings, and industry and government collaborations that support acoustical engineering, transduction, and signal processing.

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Sudo, Toshio. "Sudo Laboratory, Department of Electronic Engineering, Faculty of Engineering, Shibaura Institute of Technology." Journal of Japan Institute of Electronics Packaging 12, no. 4 (2009): 355. http://dx.doi.org/10.5104/jiep.12.355.

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Fukue, Takashi. "Fukue Laboratory, Fluid Engineering Division, Department of Mechanical Engineering, College of Engineering, Kanazawa Institute of Technology." Journal of The Japan Institute of Electronics Packaging 25, no. 6 (September 1, 2022): 658. http://dx.doi.org/10.5104/jiep.25.658.

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Fukumoto, Yukihiro, and Tohlu Matsushima. "Fukumoto/Matsushima Laboratory, Department of Electrical and Electronic Engineering, School of Engineering, Kyushu Institute of Technology." Journal of The Japan Institute of Electronics Packaging 22, no. 7 (November 1, 2019): 622. http://dx.doi.org/10.5104/jiep.22.622.

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Oshima, Shinpei. "Oshima Laboratory, Department of Innovative Electrical and Electronic Engineering, National Institute of Technology, Oyama College." Journal of Japan Institute of Electronics Packaging 21, no. 1 (2018): 99. http://dx.doi.org/10.5104/jiep.21.99.

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DAVIS, JOAN S., and WALTER SCHAUFELBERGER. "Non-Technical Education in the Electrical Engineering Department of the Swiss Federal Institute of Technology." European Journal of Engineering Education 11, no. 1 (January 1986): 5–12. http://dx.doi.org/10.1080/03043798608939274.

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Quillen, Kris, Rudolf H. Stanglmaier, Luke Moughon, Rosalind Takata, Victor Wong, Ed Reinbold, and Rick Donahue. "Friction Reduction by Piston Ring Pack Modifications of a Lean-Burn Four-Stroke Natural Gas Engine: Experimental Results." Journal of Engineering for Gas Turbines and Power 129, no. 4 (January 11, 2007): 1088–94. http://dx.doi.org/10.1115/1.2719262.

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A project to reduce frictional losses from natural gas engines is currently being carried out by a collaborative team from Waukesha Engine Dresser, Massachusetts Institute of Technology (MIT), and Colorado State University (CSU). This project is part of the Advanced Reciprocating Engine System (ARES) program led by the U.S. Department of Energy. Previous papers have discussed the computational tools used to evaluate piston-ring/cylinder friction and described the effects of changing various ring pack parameters on engine friction. These computational tools were used to optimize the ring pack of a Waukesha VGF 18-liter engine, and this paper presents the experimental results obtained on the engine test bed. Measured reductions in friction mean effective pressure (FMEP) were observed with a low tension oil control ring (LTOCR) and a skewed barrel top ring (SBTR). A negative twist second ring (NTSR) was used to counteract the oil consumption increase due to the LTOCR. The LTOCR and SBTR each resulted in a ∼0.50% improvement in mechanical efficiency (ηmech).

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Singh, Dharmendra. "Microwave Absorbing Materials." Defence Science Journal 71, no. 03 (May 17, 2021): 351. http://dx.doi.org/10.14429/dsj.71.17005.

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The 4th Prof. Vijaya Agarwala Memorial National Symposium on Microwave Absorbing Materials (VAMMAM-2020)” was held during 23 - 24th, August 2020 at Indian Institute of Technology Roorkee in association with Centre of Nanotechnology and Common Research Technology Development Hub (CRTDH) for New Materials/Stealth Applications and Department of Applied Mechanics Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India.

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Wakabayashi, Hitoshi. "Hitoshi Wakabayashi Laboratory, Department of Electrical and Electronic Engineering, School of Engineering, Tokyo Institute of Technology (Tokyo Tech)." Journal of The Japan Institute of Electronics Packaging 24, no. 1 (January 1, 2021): 162. http://dx.doi.org/10.5104/jiep.24.162.

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Ohyama, Kazuhiro, Toshinori Kajiwara, Kazuo Ikeda, Kouichi Kudou, Toshinao Yamaguti, Keiji Matsuo, Masaaki Imamura, et al. "Introduction to Electrical Engineering with Aim of Education for Generating and Motivating at Department of Electrical Engineering, Fukuoka Institute of Technology." IEEJ Transactions on Fundamentals and Materials 126, no. 7 (2006): 612–22. http://dx.doi.org/10.1541/ieejfms.126.612.

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Shibata, Takanori. "Artificial Emotional Creature Project to Intelligent Systems." Journal of Robotics and Mechatronics 8, no. 4 (August 20, 1996): 392–93. http://dx.doi.org/10.20965/jrm.1996.p0392.

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I came to the Massachusetts Institute of Technology in September, 1995, intending to stay as a researcher at its Artificial Intelligence Laboratory for two years. Cambridge and the environs of Boston where MIT is located is dotted with a number of universities and colleges, including Harvard University and Tuft College, and also with businesses related to universities. In addition, the area is full of venture-capital enterprises related to computers. Because of the presence of numerous universities and colleges a large number of people are gathered here from all over the world.

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Aharon, Gero. "Improving Systems Thinking Skills Of Second Year Engineering Students By An Introductory Project." Balkan Region Conference on Engineering and Business Education 1, no. 1 (August 15, 2014): 95–98. http://dx.doi.org/10.2478/cplbu-2014-0020.

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AbstractIn 2011, the course Introductory Project in Electrical Engineering took place for the first time at the Department of Electrical Engineering of the Technion – Israel Institute of Technology. The course was devised to expose sophomore students to the discipline of electrical engineering and improve their systems thinking skills. The core of the course was a design project of a window cleaning robot. This task was carried out by teams of five students, with personal instruction by a mentor, a senior engineer in the Department. The present research, which used quantitative tools alongside qualitative ones, indicates significant improvement in systems thinking skills of students who took the course.

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Vandi, Angelica, Paola Bertola, and Emma Suh. "Human-computer interactions to rematerialise fashion heritage artefacts." Fashion Highlight, no. 3 (June 30, 2024): 68–77. http://dx.doi.org/10.36253/fh-2702.

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In fashion, the concept of ‘materiality’ is evolving under the influence of Industry 4.0 technologies, gaining significant academic interest in Human-Computer Interaction (HCI) fields. Understanding how to deal with materiality in light of digital technology impacts facilitates the revitalisation of culture-intensive artefacts by unravelling knowledge about their manufacturing processes, thus moving towards the design of sustainable production and consumption paths aimed at re-materialising the artefact in innovative ways consistent with their heritage. The article presents the results of a partnership project between the Gianfranco Ferré Research Center (GFRC) at Politecnico di Milano and the Mechanical Engineering Department at the Massachusetts Institute of Technology (MIT). Through a Reverse Engineering approach, the goal was to study and deconstruct an archival garment from the Gianfranco Ferré archive to rematerialise it and to converge HCI principles into educational applications in cultural and design-oriented fields.

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Doi, Takashi. "A future for the historical city of Hikone." Ekistics and The New Habitat 69, no. 415-417 (December 1, 2002): 192–201. http://dx.doi.org/10.53910/26531313-e200269415-417335.

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The author, currently professor at the School of Human Cultures, University of Shiga Prefecture, Hikone, Japan, teaches house design, carries out research leading to a theory on the spatial structure of human settlements in Japan, and parallely acts as a design advisor for human settlements as well as a practicing architect. Dr Doi, who was born in Yokohama, took his degrees as an architect-engineer - Bachelors, Masters, and Ph. D in engineering - from Kyoto University. He completed the Education Program provided by the Graduate School of Ekistics of the Athens Technological Organization, Greece, and studied at the Department of Urban Studies and Planning of the Massachusetts Institute of Technology (M.I.T.), where his advisor was Professor Kevin Lynch. Prior to his present position, he was a member of the teaching staff, Department of Architecture, Kyoto University and a Professor of Architecture at the Akashi National College of Technology. Dr Doi has been a member of the World Society for Ekistics since 1986. The text that follows is a slightly edited and revised version of a paper presented at the WSE Symposion "Defining Success of the City in the 21st Century," Berlin, 24-28 October, 2001.

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DEMIDOVICH, Viktor B. "Development of Induction Heating Technologies." Elektrichestvo 5, no. 5 (2021): 51–55. http://dx.doi.org/10.24160/0013-5380-2021-5-51-55.

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In 1935, Professor V.P. Vologdin and engineer B.N. Romanov conducted successful experiments on the use of high frequency currents (HFC) for induction surface hardening. The overwhelming success of this technology at tank factories during the Great Patriotic War was highly appreciated by the government of the USSR and in 1947 the All-Union Research Institute of High Frequency Currents (VNIITVCH) was created. The article discusses the organization of scientific research at the institute and at the department of Saint. Petersburg State Electrotechnical University (LETI), the features of the organization of the educational process, the achievements of recent years and promising areas of research on metal processing in an alternating electromagnetic field.

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長洲, 正浩. "Research Group Introduction: Nagasu Laboratory, Department of Industrial Engineering, Electrical and Electronic Engineering Course, National Institute Technology (KOSEN), Ibaraki College." IEEJ Transactions on Industry Applications 142, no. 6 (June 1, 2022): NL6_12. http://dx.doi.org/10.1541/ieejias.142.nl6_12.

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Shire, Douglas, Marcus Gingerich, Patricia Wong, Michael Skvarla, Stuart Cogan, Jinghua Chen, Wei Wang, and Joseph Rizzo. "Micro-Fabrication of Components for a High-Density Sub-Retinal Visual Prosthesis." Micromachines 11, no. 10 (October 19, 2020): 944. http://dx.doi.org/10.3390/mi11100944.

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We present a retrospective of unique micro-fabrication problems and solutions that were encountered through over 10 years of retinal prosthesis product development, first for the Boston Retinal Implant Project initiated at the Massachusetts Institute of Technology and at Harvard Medical School’s teaching hospital, the Massachusetts Eye and Ear—and later at the startup company Bionic Eye Technologies, by some of the same personnel. These efforts culminated in the fabrication and assembly of 256+ channel visual prosthesis devices having flexible multi-electrode arrays that were successfully implanted sub-retinally in mini-pig animal models as part of our pre-clinical testing program. We report on the processing of the flexible multi-layered, planar and penetrating high-density electrode arrays, surgical tools for sub-retinal implantation, and other parts such as coil supports that facilitated the implantation of the peri-ocular device components. We begin with an overview of the implantable portion of our visual prosthesis system design, and describe in detail the micro-fabrication methods for creating the parts of our system that were assembled outside of our hermetically-sealed electronics package. We also note the unique surgical challenges that sub-retinal implantation of our micro-fabricated components presented, and how some of those issues were addressed through design, materials selection, and fabrication approaches.

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Kovats, Diane, Ron Shamir, and Christiana Fogg. "Bonnie Berger named ISCB 2019 ISCB Accomplishments by a Senior Scientist Award recipient." F1000Research 8 (May 23, 2019): 721. http://dx.doi.org/10.12688/f1000research.19219.1.

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The International Society for Computational Biology (ISCB) honors a leader in the fields of computational biology and bioinformatics each year with the Accomplishments by a Senior Scientist Award. This award is the highest honor conferred by ISCB to a scientist who is recognized for significant research, education, and service contributions. Bonnie Berger, Simons Professor of Mathematics and Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT) is the 2019 recipient of the Accomplishments by a Senior Scientist Award. She is receiving her award and presenting a keynote address at the 2019 Joint International Conference on Intelligent Systems for Molecular Biology/European Conference on Computational Biology in Basel, Switzerland on July 21-25, 2019.

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Ardhenta, Lunde, and Ramadhani Kurniawan Subroto. "Application of direct MRAC in PI controller for DC-DC boost converter." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 2 (June 1, 2020): 851. http://dx.doi.org/10.11591/ijpeds.v11.i2.pp851-858.

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Almost all electronic components require a DC power supply at present days. The needs of DC power supplies from low voltage scales, medium voltages such as generators, to high voltage scales for high voltage electricity transmission. The improvement of PI controller performances is presented in this paper. The adaptation gains improve transient response of DC-DC Boost Converter several operating conditions. Massachusetts Institute of Technology (MIT) rule is applied as an adaptive mechanism to determine the optimal control parameters in some conditions. The used adaptive control technique is Direct Model Reference Adaptive Control (MRAC), this method as able to control system in some various input voltage. The proposed method has a stable response and able to reach the model reference smoothly. However, the response of the system has instantaneously overshoot and follows the response back of model reference. The responses of proposed controller have short period of rise time, settling time, and overshoot.

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Hayashibara, Yasuo, Shuro Nakajima, Ken Tomiyama, and Kan Yoneda. "Hands-on Education of Robotics Department for Four Years of College." Journal of Robotics and Mechatronics 23, no. 5 (October 20, 2011): 789–98. http://dx.doi.org/10.20965/jrm.2011.p0789.

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In this paper, we introduce engineering education at the Department of Advanced Robotics, Chiba Institute of Technology. At the department, we try to teach useful knowledge and provide laboratory work leading to useful experience. One purpose of the curriculum is to enable students to design a system with a mechanism, control circuit, and computer programming. We then provide many lectures related to system design – control engineering, mechanics, mechanical dynamics, electronic circuits, information engineering, mechanical drawing, and so on – and provide laboratory work on related theory in the lectures. Laboratory work helps students understand abstract theories that are difficult to understand based on desk study alone. This laboratorywork continues fromthe first to fourth years. In addition, we provide many project studies. Some students try to develop their own systems through extracurricular studies. Through the project, students obtain much knowledge and experience. After introducing our curriculum, we discuss the results of this curriculum.

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Hirakawa, Yasuyuki. "Novel nondestructive investigations of rubber products by terahertz spectroscopy & electrical measurement." Impact 2020, no. 1 (February 27, 2020): 24–26. http://dx.doi.org/10.21820/23987073.2020.1.24.

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Vulcanisation is a chemical process that is used to reinforce rubber, and the process makes it suitable for use in a number of products and industries. Both good mixing conditions and filler dispersion are essential to keep high-quality of rubber products; however, they are quite difficult to be evaluated by conventional techniques. Prof Yasuyuki Hirakawa is based at the Department of Electrical and Electronic Engineering, National Institute of Technology (KOSEN), Kurume College. He is working to further evaluate ways to enhance rubber's productivity and performance. This is being done using terahertz (THz) radiation and electrical current, which can evaluate and inspect materials in a non-destructive way.

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Стахов, Алексей Петрович. "МОЙ ПУТЬ В БОЛЬШУЮ НАУКУ." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 2 (June 21, 2019): 6–17. http://dx.doi.org/10.32620/reks.2019.2.01.

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The article is a summary of Alexey Stakhov scientific way, who in 1961 graduated from Radio Engineering Faculty Kharkiv Aviation Institute with honors and became the first graduate of the faculty who in 1972, at the age of 32, defended his doctoral thesis on the specialty “computer engineering” and in 1974 received academic title of professor in the department of information-measuring systems (Taganrog Radio Engineering Institute).From 1961 to 1963 he worked as an engineer at the famous space company “Design Bureau of Electrical Instrument Engineering” (now the firm “Khartron”). From 1963 to 1966 he studied in the graduate school of the Technical Cybernetics Department of the Kharkiv Institute of Radio Electronics under the supervision of Professor Alexander A. Volkov.In 1971, in connection with the completion of his doctoral thesis, Alexey Stakhov was elected to the post of the Head of Information-Measuring Technology Department of Taganrog Radio Engineering Institute (1971-1977).Alexey Stakhov became the first Soviet professor who in early 1976 was selected by the USSR Ministry of Education for a 2-month work at Vienna Technical University.At the final stage of his stay in Austria, A. P. Stakhov delivered the extensive lecture “Algorithmic Measurement Theory and the Foundations of Computer Arithmetic” at the joint meeting of Computer and Cybernetic Societies of Austria. With this lecture, international recognition of the Stakhov’s scientific direction began.The USSR Ambassador to Austria, Mikhail Efremov, sent the extensive letter to the USSR State Committee on Science and Technology with a proposal to patent Prof. Stakhov’s inventions abroad. The results of the patenting exceeded all expectations. The 65 patents, granted by the patent offices of the USA, Japan, England, France, Germany, Canada, and other countries protect the priority of the scientific direction, created by A.P. Stakhov.In more detail with the scientific achievements of Prof. A.P. Stakhov can be found by reading his biographical article in English Wikipedia https://en.wikipedia.org/wiki/Alexey_Stakhov and its page in google citation https://scholar.google.com.ua/citations?user=oDcIzrUAAAAJ&hl=uk.

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Widyastuti, Ary Bachtiar Krishna Putra, Ridho Hantoro, Eky Novianarenti, and Arrad Ghani Safitra. "Improved Energy Saving for R22 Building Air Conditioning Retrofitted with Hydrocarbon Refrigerant, Study Case: Civil Engineering Department of ITS." Applied Mechanics and Materials 493 (January 2014): 281–86. http://dx.doi.org/10.4028/www.scientific.net/amm.493.281.

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Sepuluh November Institute of Technology (ITS) encourages the ECO Campus program. The program enables ITS to systematically identify, evaluate, manage and improve their environmental performance and practices. One of the program issue is energy saving in building. The energy saving effect of an air-conditioning system retrofit project is analyzed by Energy Conservation Opportunities (ECOs) Method. These ECOs are assessed in terms of their costs and benefits, and an economic comparison to rank the various refrigerants. Finally, an Action Plan is created where certain ECOs are selected for implementation. Civil Engineering Department has a responsibility to design infrastructure and green building concept planning. This department also has the largest energy consumption in this faculty comparing the other department. The energy consumption on this Department is 60829 kWh/month. The value of IKE is 13.39 per month with the largest electrical energy consumption in air-conditioning system is 57% from total consumption. The energy used of air-conditioning sytem is 523.692 kWh. The energy saving opportunities by CFC retrofitting with hydrocarbon can save its power consumption about 20%. It also saving cost and reducing the electricity bill of 1643871.838 IDR/month. The payback period of investment costs of retrofit R-22 to Hydrocarbonis about 13 month.

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Rameshbabu, Swetha, and Sabitha Ramakrishnan. "Machine Learning Approach for Diagnosis and Prognosis of Cardiac Arrhythmia Condition Using a Minimum Feature Set and Auto-Segmentation-Based Window Optimisation." Elektronika ir Elektrotechnika 29, no. 5 (October 31, 2023): 51–61. http://dx.doi.org/10.5755/j02.eie.34357.

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Cardiovascular diseases have become extremely prevalent in the global population. Several accurate classification methods for arrhythmias have been proposed in the healthcare literature. However, extensive research is required to improve the prediction accuracy of various arrhythmia conditions. In this paper, discussion is focussed on two major objectives: optimisation of windows based on our proposed auto-segmentation method for the exact diagnosis of the heart condition within the segment and prediction of arrhythmia progression. For prediction, identification of features is vital. Identified efficient independent feature sets such as RR interval, peak-to-peak amplitude, and unique derived parameters such as coefficient of variation (CV) of RR interval and CV of peak-to-peak amplitude. The progression of arrhythmia includes the following steps such as data preprocessing, time and frequency domain feature extraction, and feature selection using principal component analysis. A hypertuned support vector machine is utilised for accurate diagnosis. Proposed two techniques to predict the progression of arrhythmias: the regression-based trend curve (RBTC) and the fuzzy enhanced Markov model (FEMM). We have effectively evaluated our prediction algorithms using offline Massachusetts Institute of Technology Physio Net database signals, using automatic segmentation with prediction accuracy of 98 %. In terms of accuracy, FEMM outperforms RBTC. Thus, an auto-segmentation algorithm was proposed to classify various arrhythmia signals using a minimal feature set and to predict future conditions using our proposed method, FEMM.

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Tennyson, R. C., T. Coroy, G. Duck, G. Manuelpillai, P. Mulvihill, David JF Cooper, PW E. Smith, A. A. Mufti, and S. J. Jalali. "Fibre optic sensors in civil engineering structures." Canadian Journal of Civil Engineering 27, no. 5 (October 1, 2000): 880–89. http://dx.doi.org/10.1139/l00-010.

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This paper presents an overview of the development and application of ISIS fibre optic sensor (FOS) technology by the University of Toronto Institute for Aerospace Studies and Department of Electrical and Computer Engineering. The primary focus of this technology has involved the use of fibre Bragg gratings (FBGs) to measure strain and temperature in concrete structures and fibre reinforced plastic (FRP) overwraps applied to concrete structures. A brief review of existing fibre optic sensor configurations and the advantages of using FOS compared to other strain sensors is first presented. Subsequently, the development of new sensor concepts such as a long gauge of arbitrary length, a distributed gauge for measuring local strain gradients, and multiple FBGs on a single fibre optic cable are discussed, with examples of their application to civil engineering structures. In addition, the specialized instruments under development that are essential for obtaining strain information from these sensors are also described. Finally, the issue of wireless remote monitoring of FOS systems is addressed.Key words: fibre optic sensors, Bragg gratings, civil engineering structures, instrumentation.

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Toda, Kengo, Yu Okumura, Ken Tomiyama, and Takayuki Furuta. "Hands-on Robotics Instruction Program for Beginners." Journal of Robotics and Mechatronics 23, no. 5 (October 20, 2011): 799–810. http://dx.doi.org/10.20965/jrm.2011.p0799.

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A robotics instruction program is implemented for beginners to understand outlines of robotics. The aim of this program is to give students an outline of “what a robot is” together with its relations with various areas concerned and facilitate each student to produce their own robots and learn its process. This paper introduces lecture contents of “Robot Hands-On Exercise” conducted on freshmen of the Department of Advanced Robotics at Chiba Institute of Technology. This paper also includes visiting lectures with reorganized contents for a crash course provided as a part of Super Science High Schools (SSH) and Science Partnership Project (SPP), which are learning support projects by Japan Science and Technology Agency. We will summarize the findings based on questionnaire survey results and interactions with the students through those lectures.

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Editorial, E. "Corrigendum on: Effect of defective NPC three level inverter on nonlinear command of induction motor lesions [Serb. Jour. of Elect. Eng., Vol. 19, no. 2, june. 2022, pp. 167-192]." Serbian Journal of Electrical Engineering 20, no. 1 (2023): 127. http://dx.doi.org/10.2298/sjee2301127e.

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The authors of the paper entitled ?Effect of Defective NPC Three Level Inverter on Nonlinear Command of Induction Motor?, Mendaz Kheira, Benhadda Yamina, Bounoua Houria, informed the Editor about necessary correction of the paper, as follows: Afiliation of the first author, Mendaz Kheira, should be replaced by the text: Electrical engineering department, IRECOM laboratory, Institute of Science and Technology Belhadj Bouchaib, University Ain Temouchent, Algeria; Email: kheiramendez@gmail.com The authors apologize for these changes. Link to the corrected article <a href="http://dx.doi.org/10.2298/SJEE2202167K">10.2298/SJEE2202167K</a>

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Bensenane, Hamdan, Djemai Aksa, Fawzi Walid Omari, and Abdellatif Rahmoun. "A deep learning-based cardio-vascular disease diagnosis system." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 2 (February 1, 2022): 963. http://dx.doi.org/10.11591/ijeecs.v25.i2.pp963-971.

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Recently ehealth technologies are becoming an overwhelming aspect of public health services that provides seamless access to healthcare information. Machine learning tools associated with IoT technology play an important role in developing such health technologies. This paper proposes a decision support system-based system (DSS) to make diagnosis of cardiovascular diseases. It uses deep learning approaches that classify electrocardiogram (ECG) signals. Thus, a two-stage long-short term memory (LSTM) based neural network architecture, along with an adequate preprocessing of the ECG signals is designed as a diagnosis-aided system for cardiac arrhythmia detection based on an ECG signal analysis. This deep learning based cardio-vascular disease diagnosis system (namely ‘DLCVD’) is built to meet higher performance requirements in terms of accuracy, specificity, and sensitivity. This must also be capable of an online real-time classification. Experimental results using the Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) arrhythmia database show that DLCVD led to outstanding performance

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Akbar, Muhamad, Siti Nurmaini, and Radiyati Umi Partan. "The deep convolutional networks for the classification of multi-class arrhythmia." Bulletin of Electrical Engineering and Informatics 13, no. 2 (April 1, 2024): 1325–33. http://dx.doi.org/10.11591/eei.v13i2.6102.

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An arrhythmia is an irregular heartbeat. Many researchers in the AI field have carried out the automatic classification of arrhythmias, and the issue that has been widely discussed is imbalanced data. A popular technique for overcoming this problem is the synthetic minority oversampling technique (SMOTE) technique. In this paper, the author adds some sampling of data obtained from other datasets into the primary dataset. In this case, the main dataset is the Massachusetts Institute of Technology–Beth Israel Hospital (MIT-BIH) arrhythmia database and an additional dataset from the MIT-BIH supraventricular arrhythmia database. The classification process is carried out with one-dimensional convolutional neural network model (1D-CNN) to perform multiclass and subject-class advancement of medical instrumentation (AAMII) classifications. The results obtained from this study are an accuracy of 99.10% for multiclass and 99.25% for subject-class.

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Ullah, Amin, Sadaqat ur Rehman, Shanshan Tu, Raja Majid Mehmood, Fawad, and Muhammad Ehatisham-ul-haq. "A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal." Sensors 21, no. 3 (February 1, 2021): 951. http://dx.doi.org/10.3390/s21030951.

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Electrocardiogram (ECG) signals play a vital role in diagnosing and monitoring patients suffering from various cardiovascular diseases (CVDs). This research aims to develop a robust algorithm that can accurately classify the electrocardiogram signal even in the presence of environmental noise. A one-dimensional convolutional neural network (CNN) with two convolutional layers, two down-sampling layers, and a fully connected layer is proposed in this work. The same 1D data was transformed into two-dimensional (2D) images to improve the model’s classification accuracy. Then, we applied the 2D CNN model consisting of input and output layers, three 2D-convolutional layers, three down-sampling layers, and a fully connected layer. The classification accuracy of 97.38% and 99.02% is achieved with the proposed 1D and 2D model when tested on the publicly available Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) arrhythmia database. Both proposed 1D and 2D CNN models outperformed the corresponding state-of-the-art classification algorithms for the same data, which validates the proposed models’ effectiveness.

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Borutzky, W. "Bond graphs and object-oriented modelling—a comparison." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 216, no. 1 (February 1, 2002): 21–33. http://dx.doi.org/10.1243/0959651021541408.

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Bond graph modelling was devised by Professor Paynter at the Massachusetts Institute of Technology in 1959 and subsequently developed into a methodology for modelling multidisciplinary systems at a time when nobody was speaking of object-oriented modelling. On the other hand, so-called object-oriented modelling has become increasingly popular during the last few years. By relating the characteristics of both approaches, it is shown that bond graph modelling, although much older, may be viewed as a special form of object-oriented modelling. For that purpose the new object-oriented modelling language Modelica is used as a working language which aims at supporting multiple formalisms. Although it turns out that bond graph models can be described rather easily, it is obvious that Modelica started from generalized networks and was not designed to support bond graphs. The description of bond graph models in Modelica is illustrated by means of a hydraulic drive. Since VHDL-AMS as an important language standardized and supported by IEEE has been extended to support also modelling of non-electrical systems, it is briefly investigated as to whether it can be used for description of bond graphs. It turns out that currently it does not seem to be suitable.

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Tepljakov, Aleksei, Baris Baykant Alagoz, Emmanuel Gonzalez, Eduard Petlenkov, and Celaleddin Yeroglu. "Model Reference Adaptive Control Scheme for Retuning Method-Based Fractional-Order PID Control with Disturbance Rejection Applied to Closed-Loop Control of a Magnetic Levitation System." Journal of Circuits, Systems and Computers 27, no. 11 (June 6, 2018): 1850176. http://dx.doi.org/10.1142/s0218126618501761.

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This study demonstrates the utilization of model reference adaptive control (MRAC) for closed-loop fractional-order PID (FOPID) control of a magnetic levitation (ML) system. Design specifications of ML transportation systems require robust performance in the presence of environmental disturbances. Numerical and experimental results demonstrate that incorporation of MRAC and FOPID control can improve the disturbance rejection control performance of ML systems. The proposed multiloop MRAC–FOPID control structure is composed of two hierarchical loops which are working in conjunction to improve robust control performance of the system in case of disturbances and faults. In this multiloop approach, an inner loop performs a regular closed-loop FOPID control, and the outer loop performs MRAC based on Massachusetts Institute of Technology (MIT) rule. These loops are integrated by means of the input-shaping technique and therefore no modification of any parameter of the existing closed-loop control system is necessary. This property provides a straightforward design solution that allows for independent design of each loop. To implement FOPID control of the ML system, a retuning technique is used which allows transforming an existing PID control loop into an FOPID control loop. This paper presents the simulation and experimental results and discusses possible contributions of multiloop MRAC–FOPID structure to disturbance rejection control of the ML system.

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Krori Dutta, Kusumika, Premila Manohar, and Indira Krishnappa. "Seizure stage detection of epileptic seizure using convolutional neural networks." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 2 (April 1, 2024): 2226. http://dx.doi.org/10.11591/ijece.v14i2.pp2226-2233.

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According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well time-domain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.

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Shah, Syed Yaseen, Hadi Larijani, Ryan M. Gibson, and Dimitrios Liarokapis. "Epileptic Seizure Classification Based on Random Neural Networks Using Discrete Wavelet Transform for Electroencephalogram Signal Decomposition." Applied Sciences 14, no. 2 (January 10, 2024): 599. http://dx.doi.org/10.3390/app14020599.

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An epileptic seizure is a brief episode of symptoms and signs caused by excessive electrical activity in the brain. One of the major chronic neurological diseases, epilepsy, affects millions of individuals worldwide. Effective detection of seizure events is critical in the diagnosis and treatment of patients with epilepsy. Neurologists monitor the electrical activity in the brains of patients to identify epileptic seizures by employing advanced sensing techniques, including electroencephalograms and electromyography. Machine learning-based classification of the EEG signal can help differentiate between normal signals and the patterns associated with epileptic seizures. This work presents a novel approach for the classification of epileptic seizures using random neural network (RNN). The proposed model has been trained and tested using two publicly available datasets: CHB-MIT and BONN, provided by Children’s Hospital Boston-Massachusetts Institute of Technology and the University of Bonn, respectively. The results obtained from multiple experiments highlight that the proposed scheme outperformed traditional classification schemes such as artificial neural network and support vector machine. The proposed RNN-based model achieved accuracies of 93.27% and 99.84% on the CHB-MIT and BONN datasets, respectively.

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Ogawa, K., N. Kaneko, Y. Matsubara, Y. Ando, M. Mizukawa, and C. Kasuga. "Making an Autonomous Mobile Robot in "Engineering experiment" of the Department of Electrical Engineering of Shibaura Institute of Technology : Making a Line Trace Robot Using PIC16F84 Microcomputer." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2002 (2002): 35. http://dx.doi.org/10.1299/jsmermd.2002.35_6.

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Ameen, Aya Hamid, Mazin Abed Mohammed, and Ahmed Noori Rashid. "Enhancing Security in IoMT: A Blockchain-Based Cybersecurity Framework for Machine Learning-Driven ECG Signal Classification." Fusion: Practice and Applications 14, no. 1 (2024): 221–51. http://dx.doi.org/10.54216/fpa.140117.

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The Internet of Medical Things (IoMT) revolutionizes healthcare, enhances patient care, and optimizes workflows. However, the integration of IoMT introduces concerns related to privacy and security. In addressing these issues and aiming to bolster privacy and data security, this study presents a novel cybersecurity framework based on blockchain (BC) technology. The primary goal is to ensure secure communication among IoMT devices, preventing unauthorized access and tampering with sensitive data. The proposed framework is implemented in a model designed for classifying electrocardiogram (ECG) signals, utilizing two datasets: a Medical Technology Database (MTDB) with a limited sample size and the Massachusetts Institute of Technology–Beth Israel Hospital (MITBIH) dataset with a more extensive sample size. The datasets are subsequently partitioned into training and testing data. Feature extraction and selection are performed using the Pan-Tomkins and genetic algorithms. To enhance security, BC technology is employed to encrypt the test data. Finally, signal classification is performed using the support vector machine (SVM) classifier. Thus, the model trained on the MITBIH dataset outperforms its small data counterpart, achieving an impressive accuracy rate of 99.9%. Additionally, the model exhibits a true positive rate (TPR) and true negative rate (TNR) of 100%, an F-score of 100%, and a positive predictive value (PPV) of 100%.

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Mansson, Daniel. "Looking to the future of depression: instant diagnosis and medication-free treatment." Future Science OA 5, no. 9 (October 1, 2019): FSO415. http://dx.doi.org/10.2144/fsoa-2019-0087.

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Daniel Mansson is a clinical psychologist, cofounder and CEO of Flow. As a clinical psychologist at Sarpsborg DPS, a psychiatric clinic in Norway, Daniel performed extensive investigations and treatments for patients with conditions including depression and attention deficit hyperactivity disorder. In 2012, Daniel met Erik Rehn, where they both worked in the research department of computational biology at KTH Royal Institute of Technology, Stockholm. In January 2016, with combined backgrounds in clinical psychology, computer networks, computational neuroscience and electrical engineering, they launched Flow. The mission was simple: to find new ways to treat mental health issues with the help of science and technology. Based in Malmo, Sweden, Daniel is the driving force behind Flow and spearheads the research, innovation and business development.

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Dangel, Alissa, Michael House, Kumaran Kolandaivelu, Gordon Huggins, Nevan Hanumara, and Alexander Slocum. "4203 Re-engineering the Approach to Extremely Preterm Breech Deliveries with Student Led Team Science." Journal of Clinical and Translational Science 4, s1 (June 2020): 118. http://dx.doi.org/10.1017/cts.2020.358.

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OBJECTIVES/GOALS: Vaginal delivery is typically avoided in extremely preterm breech fetuses due to the concern for head entrapment by the cervix. Development of a device to prevent head entrapment would be best addressed by a multidisciplinary approach incorporating engineering principles with clinical obstetrics. METHODS/STUDY POPULATION: Construction of a collaborative multidisciplinary team to address the clinical challenge of preventing head entrapment was initiated through a unique course at the Massachusetts Institute of Technology (Course 2.75, Medical Device Design). The course would provide a structured means by which students (senior undergraduate and graduate students in Mechanical Engineering) would be paired with a clinical advisor and faculty in their department. Weekly team meetings were scheduled to review the clinical context pertinent to the problem and review engineering principles needed to develop a solution. The course also provided a small monetary budget ($4K) for the students to purchase supplies. RESULTS/ANTICIPATED RESULTS: During the semester long course, several iterations of a prototype were designed. Each subsequent rendition was evaluated from both an engineering and manufacturing perspective, as well as clinical appropriateness. The weekly meetings allowed for rapid re-design and assured that all necessary parameters were considered by the entire team. Students also had access to lab facilities and additional mentorship that allowed for supplementary input beyond that generated by core team members. These interactions, along with those of their classmates working on other projects, provided a strong base for exploring subsequent device development. DISCUSSION/SIGNIFICANCE OF IMPACT: Successful medical device development requires a collaborative process and students can be ideal members of these teams as they reside in an environment that is conducive to exploration and novel idea generation. Course-based student led team science platforms can provide an excellent foundation for solving uniquely challenging medical problems.

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Salazar, Mary Ness. "Developments of interlaboratory comparisons on pressure measurements in the Philippines." Acta IMEKO 12, no. 2 (June 25, 2023): 1–6. http://dx.doi.org/10.21014/actaimeko.v12i2.1448.

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The National Metrology Laboratory of the Philippines, Industrial Technology Development Institute under the Department of Science and Technology (ITDI-DOST) offered first of its kind interlaboratory comparison in pressure measurement in the country following a demand survey identifying the gaps in proving the competency of local calibration laboratories. This paper presents the development in implementing the two interlaboratory comparisons in the Philippines with six years interval using the same pressure artefact. With its many objectives, the program also aimed to provide these laboratories access to proficiency testing (PT) to comply with the ISO/IEC 17025 requirements. Comparatively, while both are considered successfully implemented, the improved awareness and commitment to quality of the participants and the enhanced competency of the pilot laboratory in implementing such activity are a few of the enumerated factors instigating the increase in the number of participants as well as those obtaining satisfactory results in the latter PT. The interlaboratory comparison schemes offered aimed at sustaining the demands of metrology stakeholders and continuously develop this service to support further progress in the calibration and measurement capabilities of local laboratories in the country.

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Jang, Taejin, Lubhani Mishra, Scott A. Roberts, Akshay Subramaniam, Maitri Uppaluri, Mogadalai P. Gururajan, Ji-Guang Zhang, and Venkat R. Subramanian. "(Invited) Battphase – a Convergent, Non-Oscillatory, Efficient Algorithm and Code for Predicting Shape Changes in Lithium Metal Batteries Using Phase-Field Models." ECS Meeting Abstracts MA2022-02, no. 28 (October 9, 2022): 1067. http://dx.doi.org/10.1149/ma2022-02281067mtgabs.

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Electrochemical models at different scales and varying levels of complexity have been used in the literature to study the evolution of the anode surface in lithium metal batteries. This includes continuum, mesoscale (phase-field approaches), and multiscale models.1-5 Thermodynamics-based equations have been used to study phase changes in lithium batteries using phase-field approaches. However, grid convergence studies and the effect of additional parameters needed to simulate these models are not well-documented in the literature. In this talk, using a motivating example of a moving boundary model in one- and two-dimensions, we show how one can properly formulate phase-field models using the immersed interface/domain approach, implement robust and efficient algorithms for the same and analyze the results (Figure 1). An open-access code with no restrictions is provided as well. The talk concludes with some thoughts on the computational efficiency of phase-field models for simulating dendritic growth. Acknowledgements The authors would like to express gratitude to Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Vehicle Technologies of the DOE through the Advanced Battery Material Research (BMR) Program (Battery500 consortium). This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government. Supported by the Laboratory Directed Research and Development program at Sandia National Laboratories, a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA-0003525. VS acknowledges interactions with Dr. Srikanth Vedantam from IIT Madras, India and Dr. Daniel Wheeler from National Institute of Standards and Technology for early discussions on phase-field and level-set methods. VS also acknowledges Richard Braatz from Massachusetts Institute of Technology for pointing out the poor results from standard algorithms because of the convective nature of the models. References 1. Q. Wang, G. Zhang, Y. Li, Z. Hong, D. Wang and S. Shi, NPJ Comput. Mater., 6, 176 (2020). 2. Z. Hong and V. Viswanathan, ACS Energy Lett., 3, 1737 (2018). 3. L. Liang and L.-Q. Chen, Appl. Phys. Lett., 105, 263903 (2014). 4. D. A. Cogswell and M. Z. Bazant, ACS Nano, 6, 2215 (2012). 5. Y. Zeng and M. Z. Bazant, SIAM J. Appl. Math., 74, 980 (2014). Figure 1

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Pokhitonov, Yu A., V. A. Starchenko, I. Yu Dalyaev, and S. L. Titov. "Using hot isostatic pressing for radioactive waste isolation purposes." Radioactive Waste 16, no. 3 (2021): 20–29. http://dx.doi.org/10.25283/2587-9707-2021-3-20-29.

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The paper summarizes the findings of a study focused on hot isostatic pressing (HIP) technique implemented by the Khlopin Radium institute. The equipment was designed and manufactured at the Kharkov’s Physics and Technology Institute. The installation provided a pressure of up to 400 NPa with the pressing temperature of up to 1250°C. The experiments were carried out on installations located in hot cells in the radiochemical department (Gatchina city). Samples of materials for HLW immobilization (titanate ceramics of the synroc type, stabilized cubic zirconia) and matrices for 129I immobilization based on copper iodide and metallic copper were obtained. The leaching rate from these samples of HLW elements (simulators) amounted to (0.5—1.5)·10–9 g/(cm2 ·day). Despite the high-performance characteristics of the materials obtained, some problems were revealed associated with the remote maintenance of equipment and the lack of industrial design analogues. Considering the experience gained, we believe that fairly simple equipment can be designed implying no complex systems and providing minimum preparatory operations. Joint efforts of technologists and designers will enable the automatization of equipment management and control through local control systems. Material loading and unloading operations can be robotized as well. Such technical solutions are expected to be in demand at industrial facilities for HLW final disposal (or when handling damaged fuel during the decommissioning of radiation and nuclear hazardous facilities).

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Musztyfaga-Staszuk, Małgorzata, and Piotr Panek. "The Use of Lasers at Various Stages of the Manufacturing Process of Solar Cells Based on Crystalline Silicon." Solid State Phenomena 308 (July 2020): 138–56. http://dx.doi.org/10.4028/www.scientific.net/ssp.308.138.

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The purpose of this chapter of the book is to present knowledge on the use of laser technology in silicon photovoltaic cell manufacturing processes. Particular consideration was given to the technique of using a disk laser to cut the edges of silicon wafers together with the recognition of the flow of laser micromachining on the quality of cut edges to obtain their minimal deformation. The second topic described is the method of producing point contacts employing laser radiation between a layer of vaporised aluminium and crystalline silicon using the Nd:YAG laser. The results illustrating the impact of the structure and parameters of point contact for a given laser radiation energy on basic electrical parameters for complete, prototype solar cells are included. The chapter in the book provides an overview of the literature on the above topics and presents selected results of experimental works carried out by the authors. The motive for its publication is the need to present selected results of own research carried out in the Welding Department cooperating for many years with the Institute of Engineering and Biomedical Materials (IMIiB) of the Silesian University of Technology and the Institute of Metallurgy and Materials Engineering (IMIM) of the Polish Academy of Sciences in Cracow.

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Grossman, Nir. "16 Noninvasive deep brain stimulation via delivery of temporally interfering electric fields." Journal of Neurology, Neurosurgery & Psychiatry 91, no. 8 (July 20, 2020): e6.3-e7. http://dx.doi.org/10.1136/jnnp-2020-bnpa.16.

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Nir is a Lecturer (Assistant Professor) at Imperial College London and a founding fellow of the UK Dementia Research Institute (UK-DRI). The long-term goal of his research is to develop neuromodulatory interventions for neurodegenerative diseases by direct modulation of the underlying aberrant network activity. Nir received a BSc in Physics from the Israeli Institute of Technology (Technion), an MSc in Electromagnetic Engineering from the Technical University of Hamburg-Harburg, and a PhD in Neuroscience from Imperial College London. He then completed a postdoc training, as a Wellcome Trust Fellow, at the Massachusetts Institute of Technology (MIT) and Harvard University. Nir was recently awarded the prestige prize for Neuromodulation from the Science magazine for describing how temporal interfering of kHz electric fields can non-invasively stimulate focal neural structures deep in the brain.Electrical brain stimulation is a key technique in research and clinical neuroscience studies, and also is in increasingly widespread use from a therapeutic standpoint. However, to date all methods of electrical stimulation of the brain either require surgery to implant an electrode at a defined site, or involve the application of non-focal electric fields to large fractions of the brain. We report a noninvasive strategy for electrically stimulating neurons at depth. By delivering to the brain multiple electric fields at frequencies too high to recruit neural firing, but which differ by a frequency within the dynamic range of neural firing, we can electrically stimulate neurons throughout a region where interference between the multiple fields results in a prominent electric field envelope modulated at the difference frequency. We validated this temporal interference (TI) concept via modeling and physics experiments, and verified that neurons in the living mouse brain could follow the electric field envelope. We demonstrate the utility of TI stimulation by stimulating neurons in the hippocampus of living mice without recruiting neurons of the overlying cortex. Finally, we show that by altering the currents delivered to a set of immobile electrodes, we can steerably evoke different motor patterns in living mice.

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Vu, Tran Anh, Hoang Quang Huy, Pham Duy Khanh, Nguyen Thi Minh Huyen, Trinh Thi Thu Uyen, and Pham Thi Viet Huong. "Classify arrhythmia by using 2D spectral images and deep neural network." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 2 (February 1, 2022): 931. http://dx.doi.org/10.11591/ijeecs.v25.i2.pp931-940.

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Electrocardiogram (ECG) is the most common method for monitoring the working of the heart. ECG signal is the basis to determine normal or abnormal rhythm, thereby helping to accurately diagnose cardiovascular diseases. Therefore, an automatic algorithm to detect and diagnose abnormal heart rhythms is essential. There are many methods of classifying arrhythmias using machine learning algorithms such as k-nearest neighbors (KNN), support vector machines (SVM), based on the features extracted from the record of ECG signal. Actually, deep learning algorithms are evolving and highly effective in image analysis and processing. In this research, a dense neural network model is proposed to classify normal and abnormal beats. Input ECG signal presenting a time series is converted into 2-D spectral image by applying wavelet transform. Our research is evaluated based on using the Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) arrhythmia database. The accuracy of the classification algorithm we employ is 99.8%, demonstrating the model's validity when compared to other reports' findings. This is the foundation for our algorithm to prove it can be utilized as an efficient model for categorizing arrhythmia using ECG signals.

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Pransky, Joanne. "The Pransky interview: Dr Yoky Matsuoka, Vice President Technology, Nest Labs." Industrial Robot: An International Journal 41, no. 6 (October 20, 2014): 481–86. http://dx.doi.org/10.1108/ir-09-2014-0389.

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Purpose – This article is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach – The interviewee is Dr Yoky Matsuoka, the Vice President of Nest Labs. Matsuoka describes her career journey that led her from a semi-professional tennis player who wanted to build a robot tennis buddy, to a pioneer of neurobotics who then applied her multidisciplinary research in academia to the development of a mass-produced intelligent home automation device. Findings – Dr Matsuoka received a BS degree from the University of California, Berkeley and an MS and PhD in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT). She was also a Postdoctoral Fellow in the Brain and Cognitive Sciences at MIT and in Mechanical Engineering at Harvard University. Dr Matsuoka was formerly the Torode Family Endowed Career Development Professor of Computer Science and Engineering at the University of Washington (UW), Director of the National Science Foundation Engineering Research Center for Sensorimotor Neural Engineering and Ana Loomis McCandless Professor of Robotics and Mechanical Engineering at Carnegie Mellon University. In 2010, she joined Google X as one of its three founding members. She then joined Nest as VP of Technology. Originality/value – Dr Matsuoka built advanced robotic prosthetic devices and designed complementary rehabilitation strategies that enhanced the mobility of people with manipulation disabilities. Her novel work has made significant scientific and engineering contributions in the combined fields of mechanical engineering, neuroscience, bioengineering, robotics and computer science. Dr Matsuoka was awarded a MacArthur Fellowship in which she used the Genius Award money to establish a nonprofit corporation, YokyWorks, to continue developing engineering solutions for humans with physical disabilities. Other awards include the Emerging Inventor of the Year, UW Medicine; IEEE Robotics and Automation Society Early Academic Career Award; Presidential Early Career Award for Scientists and Engineers; and numerous others. She leads the development of the learning and control technology for the Nest smoke detector and Thermostat, which has saved the USA hundreds of billions of dollars in energy expenses. Nest was sold to Google in 2013 for a record $3.2 billion dollars in cash.

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Journal articles on the topic 'Massachusetts Institute of Technology. Department of Electrical Engineering'

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