omniomni/omni-engineering huggingface dataset:
Tana-Beles interbasin water transfer. The Tana-Beles interbasin water transfer takes water from Lake Tana in Ethiopia and delivers it to the Beles River via the Tana Beles hydroelectric power plant. The water downstream is also used for irrigation.

Technical characteristics
It was constructed between 2005 and 2010, specifically as a multi-purpose project, but with a major part of construction involving the hydropower plant, 11.8 km headrace tunnel from Lake Tana, and 7.2 km tailrace tunnel to the Jehana river (minor tributary of the Beles River).

While Lake Tana and the Beles River are both in the Blue Nile/Abbay basin, water would not usually flow from the lake through this river. The interbasin transfer project therefore provides substantial additional water within the Beles River region (on average 77 m3/s ), enabling irrigation development, notably of sugarcane.

Social and environmental impacts
The Environmental Impact Assessment of the Tana-Beles interbasin water transfer is not available.
The social impacts of the Tana-Beles water transfer have been studied and results published in the high-profile Journal of Hydrology: the dangerously high increases in discharge of Beles river have led to the drowning of 250 people between 2010 and 2018. The negative impacts on rural livelihoods are however overshadowed by national development goals (electricity production). The external costs (coping with damage) are borne by local people, who have low bargaining power.

References 

Interbasin transfer
Operational artificial intelligence. Operational artificial intelligence, or operational AI, is a type of intelligent system designed for real-world applications, particularly at commercial scale. The term is used to distinguish accessible artificially intelligent (AI) systems from fundamental AI research and from industrial AI applications which are not integrated with the routine usage of a business. The definition of operational AI differs throughout the IT industry, where vendors and individual organizations often create their own custom definitions of such processes and services for the purpose of marketing their own products. 

Applications include text analytics, advanced analytics, facial and image recognition, machine learning, and natural language generation.

Definitions
According to a white paper by software company Tupl Inc, continuous machine learning model training and results extraction in the telecom industry requires a large number of automation utilities in order to "facilitate the development and deployment of a multitude of use cases, the collection and correlation of the data, the creation and training of the models, and the operation at telecom-grade levels of security and availability".

Researchers in the University of Waterloo's Artificial Intelligence Group describe operational AI in terms of the focus on applications that bring value to products and company. University of Waterloo Professor of Electrical and Computer Engineering Fakhri Karray describes operational AI as "application of AI for the masses". Canada Research Chair and Associate Professor Alexander Wong (professor) describes operational AI as AI for "anyone, anywhere, anytime."

Related terms
Industrial AI refers to intelligent systems applied for business at any scale and for any use case.

See also
Applications of artificial intelligence
Edge computing
Industrial artificial intelligence
Continuous integration

References

Artificial intelligence
SpaceX landing zone. SpaceX routinely lands boosters of its Falcon 9 and Falcon Heavy rockets, either on a landing zone on the ground or on a drone ship.

SpaceX landing zones are:

 SpaceX Landing Complex 1 (LC-1), USSF Cape Canaveral Space Force Station, Space Coast, Florida, USA
 SpaceX Landing Zone 1 (LZ-1)
 SpaceX Landing Zone 2 (LZ-2)
 SpaceX Landing Zone 4 (LZ-4), USSF Vandenberg Space Force Base, California, USA

See also
 Autonomous spaceport drone ship (SpaceX ASDS)
 SpaceX launch facilities
 Floating landing platform
 Landing zone

SpaceX facilities
USS Beloit. USS Beloit (LCS-29) is a  littoral combat ship of the United States Navy. She is the first commissioned ship in naval service named after Beloit, Wisconsin. This honors the contributions Beloit has made to the US Navy, especially the engines built in its Fairbanks Morse plant, including USS Beloits own powerplant.

Design 
In 2002, the US Navy initiated a program to develop the first of a fleet of littoral combat ships. The Navy initially ordered two monohull ships from Lockheed Martin, which became known as the Freedom-class littoral combat ships after the first ship of the class, . Odd-numbered U.S. Navy littoral combat ships are built using the Freedom-class monohull design, while even-numbered ships are based on a competing design, the trimaran hull  from General Dynamics. The initial order of littoral combat ships involved a total of four ships, including two of the Freedom-class design. Beloit is the fifteenth Freedom-class littoral combat ship to be built.

Construction and career 
Marinette Marine was awarded the contract to build Beloit on 18 September 2018. She was christened and launched on 7 May 2022 at the shipyard in Marinette, Wisconsin. The ship's sponsor is Beloit-born Major General Marcia Anderson, (USAR, Ret.). Now retired, she was the first African-American woman to reach the rank of Major General in the US Army, US Army Reserve and the US Army National Guard.

Beloit successfully completed her acceptance trials in August 2024  and was commissioned in Milwaukee, Wisconsin on 23 November 2024.

References

 
Freedom-class littoral combat ships
Lockheed Martin
2022 ships
Ships built by Marinette Marine
ASME Leonardo Da Vinci Award. The American Society of Mechanical Engineers Design and Engineering Division awards yearly the Leonardo Da Vinci Award to eminent engineers whose design or invention is recognized as an important advance in machine design. The award is named after Leonardo da Vinci.

Winners

See also

 Other awards and medals of the ASME
 ASME Achievement awards
 ASME Medal - ASME highest award 
 List of engineering awards

References

Leonardo da Vinci
American Society of Mechanical Engineers
Awards established in 1978
American science and technology awards
1978 establishments in the United States
ASME Medals
Asunción Gómez Pérez. Asunción Gómez Pérez is a Spanish computer scientist, the Vice-Rector for Research, Innovation and Doctoral Studies and a Full Professor at the Technical University of Madrid. In 2015, she received National Prize of Informatics from Scientific Society of Informatics of Spain.
She is also the recipient of the Ada Byron Prize. She is working in the field of artificial intelligence, specifically in semantic web and ontology engineering.

Early life and education
Asunción Gómez Pérez was born in Azuaga, Spain. She received a PhD in Computer Science from the Technical University of Madrid in 1993. She also has a Masters in Business Administration (MBA) from the Comillas Pontifical University. In 1994, she was a postdoctoral researcher at the Knowledge Systems Laboratory at Stanford University working with Tom Gruber.

Career
Between 1995 and 1998, she was the executive director of the Artificial Intelligence Lab at the Faculty of Informatics at the Technical University of Madrid. She was the director of the Department of Artificial Intelligence between 2008 and 2016 and the academic director of the Masters and PhD in Artificial Intelligence between 2009 and 2016. She has been a full professor since 2008. She has over 300 publications and 20,000 citations.

Notes

References 

Living people
Spanish computer scientists
Spanish women computer scientists
Artificial intelligence researchers
Semantic Web people
1967 births
Comillas Pontifical University alumni
BCDR 28. The Belfast and County Down Railway (BCDR) Class 28 locomotive was speculatively built by Harland & Wolff in 1937.  It remained operational until withdrawn and scrapped in 1973, retaining its number 28 having six owners in its lifetime.

References 

1A-A1 locomotives
Railway locomotives introduced in 1937
5 ft 3 in gauge locomotives
Diesel–electric locomotives of Northern Ireland
Scrapped locomotives
Individual locomotives of Ireland
BCDR 2. The Belfast and County Down Railway (BCDR) Class 2 locomotive was built by Harland & Wolff (H&W) in 1933. The first diesel locomotive build by H&W it was initially designated D1. It often worked the branch to Ballynahinch. The UTA designated the locomotive 202 but returned it to H&W in 1951 to work the shipyards.

References 

Railway locomotives introduced in 1933
5 ft 3 in gauge locomotives
Diesel–electric locomotives of Northern Ireland
Scrapped locomotives
Individual locomotives of Ireland
Joan C. Sherman. Joan Czerniejewski Sherman is a scientist and Professor of Chemistry. She was considered a pathbreaker by becoming one of the first professors at Florida Institute of Technology (while it was Brevard Engineering College) and one of the first women hired by Radiation Incorporated She became the first woman technical director at Harris Corporation. In 1994, the Society of Women Engineers named her Space Coast Outstanding Woman Engineer. The Town of Indialantic, Florida designated July 21, 2021 as “Joan C. Sherman Day”.

Early life
Sherman was born in Illinois in 1932. She received Bachelor of Science in chemistry from Northwestern University in 1953. She received a Master of Science in Oceanography from Florida Institute of Technology.

Career
She was a research chemist on the Evanston Fluoridation Study and a chemical engineer in the refining Research Department of Universal Oil Company. In 1959, she began working for RCA Service Company in the photography lab of the Missile Test Project. In 1963, she began working at Radiation Incorporated and became a senior engineer. While at Radiation Incorporated, she was a lead chemist at the Micro-Electronics laboratory, where she directed other technicians in development of microelectronics used in the early days of the Space Race.

References

1932 births
Living people
21st-century American chemists
Florida Institute of Technology alumni
Florida Institute of Technology faculty
Northwestern University alumni
People from Brevard County, Florida
Scientists from Florida
Chemists from Illinois
David Tse. David Tse () is the Thomas Kailath and Guanghan Xu Professor of Engineering at Stanford University.

Education
Tse earned a B.S. in systems design engineering from University of Waterloo in 1989, an M.S. in electrical engineering from the Massachusetts Institute of Technology in 1991, and a Ph.D. in electrical engineering from MIT in 1994. As a postdoctoral student he was a staff member at AT&T Bell Laboratories.

Career
Tse's research at Stanford focuses on information theory and its applications in fields such as wireless communication, machine learning, energy and computational biology. He has designed assembly software to handle DNA and RNA sequencing data and was an inventor of the proportional-fair scheduling algorithm for cellular wireless systems. He received the 2017 Claude E. Shannon Award. In 2018, he was elected to the National Academy of Engineering.

Honors
 Early Faculty National Science Foundation CAREER Award, 1998
 Frederick Emmons Terman Award from the American Society for Engineering Education, 2009
 Fellow, IEEE, 2009
 Gilbreth Lectureship from the National Academy of Engineering, 2012
 Stephen O. Rice Prize in the Field of Communications Theory, 2013
 Claude E. Shannon Award, 2017
 Member, National Academy of Engineering, inducted 2018
 IEEE Richard W. Hamming Medal, 2019

Book
 Fundamentals of Wireless Communication (2005, Cambridge University Press) () – with Pramod Viswanath

References

External links
 Personal homepage, Stanford University website
 Google Scholar page

Living people
Electrical engineering academics
Stanford University School of Engineering faculty
Stanford University Department of Electrical Engineering faculty
UC Berkeley College of Engineering faculty
Members of the United States National Academy of Engineering
Fellows of the IEEE
MIT School of Engineering alumni
University of Waterloo alumni
Hong Kong electrical engineers
Canadian electrical engineers
21st-century engineers
Year of birth missing (living people)
USS Santa Barbara (LCS-32). USS Santa Barbara (LCS-32) is an  of the United States Navy. She is the 32nd ship of the type, and 16th of the class, which is inter-numbered with the s. With 35 LCSs now active or planned, the type is the Navy's second largest number of surface warfare ships in production, next only to its guided missile destroyers. She is the third US Navy ship to be named for the city of Santa Barbara, California.

Design and construction
In 2002, the United States Navy initiated a program to develop the first of a fleet of littoral combat ships. The Navy initially ordered two trimaran hulled ships from General Dynamics, which became known as the Independence-class after the lead ship of the class, . Even-numbered US Navy littoral combat ships are built using the Independence-class trimaran design, while odd-numbered ships are based on a competing design, the conventional monohull Freedom-class. The initial order of littoral combat ships involved a total of four ships, including two of the Independence-class design.

Santa Barbara was built in Mobile, Alabama by Austal USA. Her keel was laid down on 27 October 2020, she was christened on 16 October 2021 and launched on 13 November 2021. Following the completion of sea trials on 3 June 2022, the ship was accepted by the Navy on 21 July 2022. She was commissioned in a ceremony at Port Hueneme, California on 1 April 2023.

References

Independence-class littoral combat ships
2021 ships
Manoj Samanta. Manoj Pratim Samanta is an Indian-American scientist and engineer working in the field of bioinformatics.

Samanta became interested in mathematics at a young age, and was a member of India's team in the 1989 International Mathematical Olympiad. He subsequently graduated from the Indian Institute of Technology, where he received the institute silver medal. In 1998, he received his Ph.D. in electrical engineering from Purdue University under the supervision of Supriyo Datta. He later conducted research on superconductors before becoming interested in biological systems. He is the founder of the Systemix Institute, a genomics research company based in Redmond, Washington. He formerly worked at NASA's Ames Research Center and Hewlett-Packard. He is also the co-founder of Coding4Medicine, an organization aimed at training young people in computational biology, and maintains the blog Homolog.us.

References

External links
Homolog.us

Living people
Purdue University College of Engineering alumni
Indian bioinformaticians
Indian emigrants to the United States
Indian electrical engineers
Indian Institutes of Technology alumni
Indian male bloggers
Science bloggers
21st-century science writers
Ames Research Center
Year of birth missing (living people)
Lora Aroyo. Lora Aroyo (born in Bulgaria) is a Dutch computer scientist at Google Research, and formerly a professor at The Vrije Universiteit Amsterdam, Netherlands. She is best known for her work in user modeling, digital humanities, and for the CrowdTruth crowdsourcing method. She was the founding head of the user-centric data science (UCDS) research group in the VU Computer Science department, president of the User Modeling Society, a former vice-president of Semantic Technology Institute, Chief Scientist at Tagasauris, and a member of over 100 scientific program committees and editorial boards. She was one of the few female full professors of Computer Science in the Netherlands, and her departure to Google leaves only one woman (out of over 20 full professors) at the VU.

After leaving Bulgaria during the aftermath of the fall of communism, Aroyo obtained a PhD in Educational Science and Technology from University of Twente.  She worked with Paul De Bra at Eindhoven University of Technology in the area of intelligent tutoring systems, focusing primarily on understanding and modeling the different needs of users to make the experience more productive.

Aroyo moved to the VU University in 2006 and began her seminal work in cultural heritage, later called digital humanities.  With colleagues Guus Schreiber and others, she is credited with pioneering niche-sourcing.

In 2013, Aroyo spent her sabbatical working with the IBM Watson team, just after the famous Jeopardy! match, where she developed the Crowd Truth methodology with Chris Welty.

In 2018, she was listed among the top women semantic web researchers without a Wikipedia page.She was later nominated to have this page authored during the Ada Lovelace women in computing hackathon.

References

Dutch computer scientists
Dutch women computer scientists
Eindhoven University of Technology alumni
living people
scientists from Sofia
Semantic Web people
Academic staff of Vrije Universiteit Amsterdam
year of birth missing (living people)
Vauxhall 14-40. The Vauxhall 14 is an automobile which was produced by Vauxhall in the United Kingdom from 1922 to 1927.

As well as United Kingdom manufacture, knock-down kits were assembled in Australia.

Model M

First shown at the 1921 London Motor Show, the car reached the public in 1922.

The new car, designed by Clarence King, had a four-cylinder 2297cc side-valve engine mounted in-unit with a three-speed transmission. The separate chassis had semi-elliptic leaf springs at the front and cantilever springs at the rear. Brakes acted on the rear wheels only with a separate pair of shoes for the handbrake. Disc type wheels were fitted.

The car was said to be capable of reaching nearly  and return .

Body styles
2 door Melton tourer
4 door Princeton tourer
Bedford, Norfolk and Wyndham saloons
Kimberley limousine
Wyvern landaulette
Grafton coupe

Approximately 1800 cars were produced.

Model LM
In 1924 the LM version appeared with a higher compression engine developing  and four-speed transmission. Wire-spoked wheels replaced the disc ones. Front-wheel brakes were added in 1926. 

In 1924 the 14-40 with Princeton tourer body cost GBP595.

Approximately 3500 cars were produced.

References

14
Regulation of UAVs in Canada. Transport Canada published new rules for flying drones in Canada on January 9, 2019. The rules no longer treat recreational and commercial drone pilots differently but instead categorize operators as basic or advanced with different rules for each. The rules apply to drones between 250 g (0.55 pounds) and 25 kg (55 pounds).

Incidents
On October 12, 2017, the first drone-to-aircraft collision was reported, the first known occurrence in North America. The drone struck a Beechcraft A100 King Air operated by Skyjet that was making a final approach to the Jean Lesage International Airport in Quebec City (CYQB). The A100 was able to land safely with a dent in the left-wing while the drone could not be located by the authorities.

Although the drone was flying approximately 12 km from the airport, the drone was flying at an altitude of approximately 450 m which is well beyond the existing limit allowed in the Transport Canada rules updated in July requiring an altitude of 90 m or less.

References 

Regulation in Canada
Canada
3.7 cm SockelFlak L/14.5. The 3.7 cm SockelFlak L/14.5 was an early German light anti-aircraft gun deployed in limited numbers towards the end of the First World War.

History 
The SockelFlak started life as defensive armament for Zeppelin airships against fighter attack. However, once defenders discovered that airships filled with hydrogen were vulnerable to machine guns firing tracer ammunition Zeppelin losses mounted and the Germans switched to less vulnerable bomber aircraft. This meant that the SockelFlak needed to find a new role.

As the threat posed by ground attack aircraft increased the need for specialized anti-aircraft guns also increased. At first, all of the combatants employed heavy machine guns and light field guns on improvised anti-aircraft mounts to combat reconnaissance and ground attack aircraft. Heavy machine guns were often placed on improvised pedestal mounts while light field guns were typically propped up on earthen embankments or scaffolds to point the muzzle pointed skyward.  A heavy machine gun was capable of shooting down an attacking aircraft but the amount of time on target was brief and the probability of scoring a killing blow with rifle caliber rounds wasn't that great.  While a medium caliber anti-aircraft gun  was capable of destroying an attacking aircraft with one shot but its slow rate of fire combined with its slow elevation and traverse limited its usefulness against small fast moving targets at short range.  Instead, the niche for medium caliber anti-aircraft guns was as a barrage weapon firing timed explosives at distant targets. What was needed was a fast firing, mobile, and easy to wield weapon which could fire a small explosive round to destroy an attacking aircraft with a few well-placed shots. It was under these conditions that the SockelFlak was redesigned to fulfill the light anti-aircraft role.

Design 

The SockelFlak was a gas-operated automatic cannon which fired a  steel base fused explosive round with two brass driving bands. The gun was mounted on a light three-legged pedestal mount with a seat for the gunner and could be broken down into four loads for short-range transport or carried in one piece on a cart by a two-horse team for longer trips. There were two spade grips for aiming and the gun was fired by a trigger operated by the gunner's knee while seated. Since the gun wasn't originally meant for field use it was prone to stoppages due to dust and dirt. It had a cyclic rate of fire of 120 rounds per minute but its top loaded 10 round clip was slow to change, which meant that although easy to wield it had a limited time on target and slow practical rate of fire. The first 20 guns were delivered in December 1917 and by the time of the armistice, there were 150 in service.

References 

37 mm artillery
World War I anti-aircraft guns
Anti-aircraft guns of Germany
Autocannon