omniomni/omni-engineering huggingface dataset:
J. Michael Harrison. John Michael Harrison (born 1944) is an American researcher, known for his contributions to the theory of operations research, in particular stochastic networks and financial engineering. He has authored two books and nearly 90 journal articles.

He obtained a B.S. in industrial engineering from Lehigh University (1966), a M.S. from Stanford University (1967), and a Ph.D. in operations research (1970) also from Stanford University.

He then worked at the same place, in the Stanford Graduate School of Business, as assistant professor, promoted to associate professor (1973) and full professor (1978).
He is currently the Adams Distinguished Professor of Management at Stanford University.

His research focused on stochastic modelling for business and led to influential results in option theory (with David M. Kreps, 1980).
Later he studied Brownian network models for logistics and models for optimizing telephone call centers. More recently he has studied dynamic pricing and revenue management.

In 2008, Harrison was elected a member of the National Academy of Engineering for fundamental contributions to stochastic networks and financial engineering.

Awards 
 National Academy of Engineering electee (2008).
 2005 class of Fellows of the Institute for Operations Research and the Management Sciences.
 John von Neumann Theory Prize 2004
 Frederick W. Lanchester Prize (best research publication) 2001
 INFORMS Expository Writing Award 1998

Selected publications 
 A Method for Staffing Large Call Centers, Mfg. & Service Operations Mgt., 2005
 A Broader View of Brownian Networks: Annals of Applied Probability, 2003
 Brownian Motion and Stochastic Flow Systems, Wiley and Sons, 1985
 Martingales and Stochastic Integrals in the Theory of Trading Stochastic Processes, 1981
 Martingales and Arbitrage in Multiperiod Securities Markets Journal of Economic Theory, 1979

References

External links
 Biography of J. Michael Harrison from the Institute for Operations Research and the Management Sciences

Lehigh University alumni
Stanford University alumni
American operations researchers
Stanford University Graduate School of Business faculty
Fellows of the Institute for Operations Research and the Management Sciences
Members of the United States National Academy of Engineering
John von Neumann Theory Prize winners
Living people
1944 births
Hiromichi Kataura. is a Japanese scientist known for his work on synthesis and characterization of single-wall and double-wall carbon nanotubes and on encapsulation of water, fullerenes and other organic molecules into carbon nanotubes.

Kataura is the leader of self-assembled nano-electronics group at the National Institute of Advanced Industrial Science and Technology (AIST).

Kataura plot

Kataura plot is a graph relating the energy of the band gaps in a carbon nanotube and its diameter. A nanotube of certain diameter can be metallic M or semiconducting S; it can have several band gaps, conventionally labeled as S11, S22, M11, M22, etc. This property results in multiple branches in the Kataura plot.

The original article on the Kataura plot has been reported in a lesser-known journal Synthetic Metals. Nevertheless, this article has been cited more than 1900 times in peer-reviewed scientific journals between 2000 and January 2020.

References

External links
Official website
Prof. Shigeo Maruyama - Kataura plot calculations

1959 births
Living people
Japanese nanotechnologists
Japanese physicists
University of Tsukuba alumni
Engineers Without Borders (Palestine). Engineers Without Borders (EWB) Palestine (or EWB-Palestine; ) is a Palestine-based registered charity and NGO. Its mission is to "partner with Palestinian disadvantaged communities to improve their quality of life through the implementation of environmentally and economically sustainable engineering projects, while developing internationally responsible engineers and engineering students."

EWB-Palestine is the Palestinian national representative within the Engineers Without Borders International Group.

EWB-Palestine History 
In  August 2005, EWB-Palestine was created as a provisional member of EWB-International. In July 2006, it was registered as a nonprofit organization with the Ministry of the Interior in Palestine. In September 2008, EWB-Palestine was represented on the EWB-International board of directors.

See also
 Engineers Without Borders

References

External links
Engineers Without Borders – Palestine
Engineers Without Borders – Palestine

Palestine
Charities based in the State of Palestine
Organizations established in 2005
2005 establishments in the Palestinian territories
Ueb. UEB or Ueb may refer to:

União dos Escoteiros do Brasil, the Union of Brazilian Scouts
Unified English Braille Code
The Universal edit button
The Université européenne de Bretagne, a confederation of universities in France
The Uganda Electricity Board (see Energy in Uganda)
The theoretical 192nd element, unennbium (Ueb)
The United Effort Brotherhood, a fictional group in the show Big Love
Digital test controller. Digital test controllers are devices (usually computer based) that provide motion control by processing digital signals. Typically a controller has inputs connected to sensors on the device they control, which measure the feedback, its current state (for example the current position), and process this signal to provide an output to a hydraulical, electrical or other type of servomechanism control of the controlled device, with the aim of matching a control signal.

A good example is an elevator. The control signal is the button selects the floor the passenger wants to go. The controller of the elevator looks at which floor the elevator currently is (current position), at the floor selected (by the button) and by comparing them to each other derives a signal to control a servo (either hydraulic or electric) that makes the elevator move until the right floor is reached.

In the older days test controllers were usually analog, but with the rapid developments in digital signal processing and computer technology, test controllers are almost exclusively digital devices. This offers many advantages, because it allows the user to execute all kinds of additional operations on the digital signals, in addition to the standard PID controller. Digital test controllers offered by Moog, provide novel advantages for this type of system control.

References

Control devices
Dmitri Dolgov. Dmitri Dolgov is a Russian-American engineer who is the co-chief executive officer of Waymo. Previously, he worked on self-driving cars at Toyota and  Stanford University for the DARPA Grand Challenge (2007). Dolgov then joined Waymo's predecessor, Google's Self-Driving Car Project, where he was an engineer and head of software. He has also been Google X's lead scientist.

Early life and education
Dmitri Dolgov was born in the Russian SFSR and raised in Moscow. He traveled often, living in Japan for a year and attending high school in the United States before returning to Russia. Dolgov earned his Bachelor of Science and Master of Science degrees in physics and math from the Moscow Institute of Physics and Technology in 1998 and 2000, respectively, followed by a Ph.D. in computer science from the University of Michigan. He completed postdoctoral research at Stanford University.

Career
Early in his career, Dolgov worked on self-driving cars at Toyota's Research Institute and as part of Stanford's team for the DARPA Grand Challenge (2007). IEEE Intelligent Systems named him one of "AI's 10 to Watch — the Future of AI" in 2008. In 2009, Dolgov joined the original team of Google's Self-Driving Car Project, which became Waymo in 2016. He started as an engineer for Google, then became the lead scientist with Google X in 2014, before replacing Chris Urmson as the autonomous driving project's head of software in 2016. Dolgov became Waymo's chief technology officer and vice president of engineering, where he oversaw both hardware and software development. In 2018, he testified on behalf of Waymo in the company's trade secrets lawsuit against Uber. He and then-chief executive officer (CEO) John Krafcik received American Ingenuity Awards from Smithsonian magazine. In 2021, Dolgov and Tekedra Mawakana became co-CEOs, replacing Krafcik. Dolgov focuses on the company's technology and Mawakana oversees business operations. In 2021, Pete Bigelow of Automotive News said the duo have a "somewhat unusual power-sharing arrangement", and have "developed a close working relationship and have been heavily involved in Waymo's most high-profile milestones".

He is an inventor with more than 90 patents, as of September 2018.

Personal life
Dolgov is a U.S. citizen.

Publications

See also
 List of University of Michigan alumni

References

External links
 Dmitri Dolgov at Bloomberg News
 Dmitri Dolgov at CNBC
 Dmitri Dolgov at Computer History Museum
 
 

Living people
American chief executives
Chief technology officers
Google people
Moscow Institute of Physics and Technology alumni
Engineers from Moscow
Russian emigrants to the United States
University of Michigan alumni
Waymo employees
Year of birth missing (living people)
1970s births
Salting (confidence trick). In mineral exploration, salting is the fraudulent practice of adding valuable metals and gemstones, particularly gold or diamond, to ore samples from a mine to inflate the apparent value of the deposit. This deception aims to mislead potential buyers or investors into believing that the mine is more productive and valuable than it truly is. Salting is considered a form of confidence trick and has been employed throughout history to defraud stakeholders in the mining industry. Examples are the  diamond hoax of 1872 and the former Canadian gold company Bre-X.

See also
Land patent
Youngberg, Arizona
Goldfield, Arizona
Highland Park, Yavapai County, Arizona
Mineral rights

References

Confidence tricks
Mineral exploration
Cords Cable Industries Limited. Cords Cable Industries Limited (BSE: 532941, NSE: CORDSCABLE, ISIN: INE792I01017) is the largest instrumentation cable maker in India.

With its headquarters in New Delhi, it manufactures instrumentation cables, control cables, thermocouple cables, power cables and  special cables for signaling and electrical connectivity requirements, mainly for industrial use. The company manufactures cables up to 3.3 kilovolt for applications including industrial, utility and buildings. It caters to industries such as electric power, steel, cement, fertilizers and chemicals, and refinery/petroleum. The Company’s products include medium-tension control cables (up to 3.3 kilovolt), medium-tension power cables (up to 3.3 kilovolt), instrumentation cables, signal and data cables, thermocouple extension/compensating cables, panel wires/house hold wires/flexible cables, and specialty cables.

Naveen Sawhney is the Managing Director, and Chairman of the Board of the company.

Listing
In January 2008, the Company came out with an IPO and on 13 February 2008 got listed on Bombay Stock Exchange and National Stock Exchange of India.

Rankings
In 2008, Cords Cable Industries Limited became the only Cable manufacturer in the Asia-Pacific Region to be listed by Forbes magazine in its 'Asia's 200 Best Companies Under a Billion List'.

In 2012, Cords Cable Industries Limited was ranked 513th by International Business Times in its list, published on 16 January 2012, of world's 1000 fasted-growing companies.

References

External links
Company's logo
List of Officers and Directors
Corporate website

Wire and cable manufacturers
Multinational companies
Manufacturing companies based in Delhi
Indian brands
Indian companies established in 1987
Companies listed on the National Stock Exchange of India
Companies listed on the Bombay Stock Exchange
U27. U27 may refer to:

Naval vessels 
 
 , various vessels
 , a sloop of the Royal Navy
 U-27-class submarine (Austria-Hungary) of the Austro-Hungarian Navy
 , the lead boat of the class

Other uses 
 Cessna U-27 Caravan, an American utility aircraft
 Rhombicosidodecahedron
 Small nucleolar RNA SNORD27
Society for the Advancement of Material and Process Engineering. The Society for the Advancement of Material and Process Engineering (SAMPE) is an international professional member society. SAMPE provides a global forum for information, education, and professional fellowship on materials and processes development.

History

SAMPE was formed by nine aerospace professionals from Southern California who were concerned with the lack of materials and need to economize. They formed a network of material and process engineers to provide a means for information exchange and to prevent the duplication of effort among companies working toward a common goal.

They formed the Society of Aircraft Material and Process Engineers in 1944. It was renamed the Society of Aerospace Material and Process Engineers in the late 1950s as a result of the developing interest in space travel. SAMPE was later renamed the Society for the Advancement of Material and Process Engineering in 1973 to reflect membership growth beyond the aerospace industry.

SAMPE is a global professional member society and provides information on new materials and processing technology either via conferences, exhibitions, technical forums, publications, or books in which professionals in this field can exchange ideas and air their views. As the only technical society encompassing all fields of endeavor in materials and processes, SAMPE provides a unique and valuable forum for scientists, engineers, and academicians.

Outreach
SAMPE sponsors an annual student leadership competition for student engineers. The SAMPE Student Leader Experience Award sends eligible students to the SAMPE International Spring Symposium & Exhibition to network and increase their understanding of the Materials and Processes community.

References

Further reading

 SAMPE moves, expands European Conference

External links

Engineering societies based in the United States
Decomposition method. Decomposition method is a generic term for solutions of various problems and design of algorithms in which the basic idea is to decompose the problem into subproblems. The term may specifically refer to:

Decomposition method (constraint satisfaction) in constraint satisfaction
Decomposition method (multidisciplinary design optimization) in multidisciplinary design optimization
Adomian decomposition method, a non-numerical method for solving nonlinear differential equations
Domain decomposition methods in mathematics, numerical analysis, and numerical partial differential equations
Cholesky decomposition method
Decomposition method in queueing network analysis

See also 
 Decomposition (disambiguation)
Constraint graph. In constraint satisfaction research in artificial intelligence and operations research, constraint graphs and hypergraphs are used to represent relations among constraints in a constraint satisfaction problem. A constraint graph is a special case of a factor graph, which allows for the existence of free variables.

Constraint hypergraph
The constraint hypergraph of a constraint satisfaction problem is a hypergraph in which the vertices correspond to the variables, and the hyperedges correspond to the constraints. A set of vertices forms a hyperedge if the corresponding variables are those occurring in some constraint.

A simple way to represent the constraint hypergraph is by using a classical graph with the following properties:
 Vertices correspond either to variables or to constraints,
 an edge can only connect a variable-vertex to a constraint-vertex, and
 there is an edge between a variable-vertex and a constraint-vertex if and only if the corresponding variable occurs in the corresponding constraint.

Properties 1 and 2 define a bipartite graph. The hypergraph is recovered by defining the vertices as the variable-vertices and the hyperedges as the sets of variable-vertices connected to each constraint-vertex.

Primal constraint graph
The primal constraint graph or simply primal graph (also the Gaifman graph) of a constraint satisfaction problem is the graph whose nodes are the variables of the problem and an edge joins a pair of variables if the two variables occur together in a constraint.

The primal constraint  graph is in fact the primal graph of the constraint hypergraph.

Dual constraint graph

The set of variables involved in a constraint is called the constraint scope. 
The dual constraint graph is the graph in which the vertices are all constraint scopes involved in the constraints of the problem, and two vertices are connected by an edge if the corresponding scopes have common variables.

References

Constraint programming
Application-specific graphs
Power management integrated circuit. Power management integrated circuits (power management ICs or PMICs or PMU as unit) are integrated circuits for power management. Although PMIC refers to a wide range of chips (or modules in system-on-a-chip devices), most include several DC/DC converters or their control part. A PMIC is often included in battery-operated devices (such as mobile phone, portable media players) and embedded devices (such as routers) to decrease the amount of space required.

Overview
The term PMIC refers to a class of integrated circuits that perform various functions related to power requirements.
A PMIC may have one or more of the following functions:
 DC-to-DC conversion
 Battery charging
 Power-source selection
 Voltage scaling
 Power sequencing
 Miscellaneous functions

Power management ICs are solid state devices that control the flow and direction of electrical power. Many electrical devices use multiple internal voltages (e.g., 5 V, 3.3 V, 1.8 V, etc.) and sources of external power (e.g., wall outlet, battery, etc.), meaning that the power design of the device has multiple requirements for operation. A PMIC can refer to any chip that is an individual power related function, but generally refer to ICs that incorporate more than one function such as different power conversions and power controls such as voltage supervision and undervoltage protection. By incorporating these functions into one IC, a number of improvements to the overall design can be made such as better conversion efficiency, smaller solution size, and better heat dissipation.

Features
A PMIC may include battery management, voltage regulation, and charging functions. It may include a DC to DC converter to allow dynamic voltage scaling. Some models are known to feature up to 95% power conversion efficiency. Some models integrate with dynamic frequency scaling in a combination known as DVFS (dynamic voltage and frequency scaling).

It may be manufactured using BiCMOS process. They may come as QFN package. Some models feature I²C or SPI serial bus communications interface for I/O.

Some models feature a low-dropout regulator (LDO), and a real-time clock (RTC) co-operating with a backup battery.

A PMIC can use pulse-frequency modulation (PFM) and pulse-width modulation (PWM). It can use switching amplifier (Class-D electronic amplifier).

IC manufacturers
Some of many manufacturers of PMICs:

 Analog Devices
 Cypress Semiconductor
 Exar
 Infineon Technologies AG
 Intel
 Intersil
 IXYS
 Marvell Semiconductor
 MediaTek
 Monolithic Power Systems
 Nordic Semiconductor
 NXP Semiconductors
 ON Semiconductor
 Qualcomm
 Renesas Electronics
 Ricoh Electronic Devices
 Rohm Semiconductor
 Samsung Semiconductor
 Silergy
 STMicroelectronics
 Texas Instruments

See also

 Power cycle (power supplies)
 Power electronics
 Power management unit (PMU)
 Power ramp
 Quick charge
 System basis chip (SBC)
 System management controller (SMC)

References

Integrated circuits
Motherboard
Édouard Joly. Édouard Joly, born in Burgundy in 1898, deceased in 1982 was a French aeroplane designer best known for his work with Jean Délémontez on the Jodel range of light aircraft.

Biography 

Joly worked for 14 years at a company that sold and repaired farm equipment. During First World War, he was mobilized as an aviation mechanic and stationed first in Avord and then in Dijon. At the end of the war, he returned to the company of which he in time became the owner.

His interest for aviation pushed him to become in 1932 one of the founding members of the aero club Beaunois. He then built and owned several sailplanes including one Flying Flea. In 1946, he joined his son-in-law Jean Délémontez to found the Jodel company for the study, construction and repair of airplanes. Together they designed the line of Jodel and Robin planes of which more than 6,000 were built in the following 50 years.

References

1898 births
1982 deaths
French aerospace engineers
Pumplinx. PumpLinx is a 3-D computational fluid dynamics (CFD) software developed for the analysis of fluid pumps, motors, compressors, valves, propellers, hydraulic systems, and other fluid devices with rotating or sliding components.

Features
The software imports 3-D geometry from CAD data in the form of STL files. It has geometry Conformal Adaptive Binary-Tree mesh generation tool which creates 3-D grid from CAD surfaces. For liquid devices, PumpLinx has a cavitation model to account for the effect of liquid vapor, free/dissolved gas, and liquid compressibility.

PumpLinx provides templates for different categories of devices, including: 
axial piston pumps, 
centrifugal pumps,
gerotors, 
gear pumps,  
progressive cavity pumps,
propellers,
radial piston pumps, 
rotary vane pumps, 
submersible pumps, and
valves.

Those templates create an initial grid for special rotors; for example, grids around gears of a gear pump, and then re-meshes the grid for a moving simulation, and provide device specific input and output. The output from the code include velocities, pressures, temperatures, and gas volume fractions of the flow field, together with integrated engineering data such as loads and torques.

PumpLinx uses a single Graphical User Interface (GUI) for grid generation, model set-up, execution, and post processing.

Market
The software is used primarily by component and system engineers in the automotive, hydraulic, and aerospace industry as a virtual test-bed to study efficiency, cavitation, pressure ripple, and noise for hydrodynamic pumps, and fluid power equipment.

References

External links
Simerics Website
Cradle Consulting

Software companies based in Alabama
Fluid dynamics
Computational fluid dynamics
Computer-aided engineering software
Companies based in Huntsville, Alabama
Companies established in 2005
Software companies of the United States