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Automated Sports Court Drawing Bot
The Civil 20's Technology and Security for One World Summit began today. Honourable Governor of Tamil Nadu, Shri. R.N. Ravi, and Swami Amritaswarupananda Puri as a Civil 20 Troika member were at the event. #YouAreTheLight #Civil20India #Civil20 #C20 #G20India #G20 #TST #Amrita pic.twitter.com/4KsIAoSmoj
— Amrita Vishwa Vidyapeetham (@AMRITAedu) May 13, 2023
Arduino based Automated Sports Court Drawing Bot
Rajesh Kannan Megalingam, et. al
Stadium maintenance staff are one of those people who work hard to maintain the court correctly. One of the items that often require rework is the lines drawn on the court for maintenance of track or boundaries or even the entire court when it is football stadium etc. Besides, for indoor stadiums that host volleyball, basketball, tennis, etc., lines need to be drawn. Redrawing the court after each match is one of the major problems of concern. In such a scenario, a system is proposed that can draw the court lines autonomously. The objective of this research work is to present a design of an autonomous sports court drawing bot that can draw the linear lines automatically which can aid in the maintenance work of the sports stadium.
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Agave
There are several colleges and universities that are studying or researching agave farming. Agave is a succulent plant that is used to produce a variety of products, including tequila, mezcal, and agave syrup. Here are a few examples of colleges and universities that are involved in agave farming research:
- University of Arizona – The University of Arizona has a research program focused on agave and its uses. The program includes research on agave farming practices, genetics, and product development.
- Texas A&M University – Texas A&M University has a research program focused on agave farming and the production of tequila and mezcal. The program includes research on agave plant physiology, breeding, and agronomy.
- Universidad AutĂłnoma de Guadalajara – The Universidad AutĂłnoma de Guadalajara in Mexico has a research program focused on the agave industry, including research on agave farming practices, plant pathology, and product development.
- California State University, Fullerton – California State University, Fullerton has a research program focused on agave farming and the production of agave syrup. The program includes research on agave plant biology, chemistry, and processing.
- Universidad de Guadalajara – The Universidad de Guadalajara in Mexico has a research program focused on agave farming and the production of tequila and mezcal. The program includes research on agave plant genetics, breeding, and agronomy.
These are just a few examples of colleges and universities that are involved in agave farming research. There are likely many more institutions that are studying agave farming and its various uses.
How Do You Measure the Percentage of Alcohol in Beer, Wine and Other Beverages?
Fuzzy Logic in Personalized Garment Design
Intelligent Fashion Recommender System: Fuzzy Logic in Personalized Garment Design
L. C. Wang –Â X. Y. Zeng – L. Koehl – Y. Chen
Ecole Nationale Supérieure des Arts et Industries Textiles
Abstract. This paper proposes a new intelligent fashion recommender system to select the most relevant garment design scheme for a specific consumer in order to deliver new personalized garment products. This system integrates emotional fashion themes and human perception on personalized body shapes and professional designers’ knowledge. The corresponding perceptual data are systematically collected from professional using sensory evaluation techniques. The perceptual data of consumers and designers are formalized mathematically using fuzzy sets and fuzzy relations. The complex relation between human body measurements and basic sensory descriptors, provided by designers, is modeled using fuzzy decision trees. The fuzzy decision trees constitute an empirical model based on learning data measured and evaluated on a set of representative samples.
The complex relation between basic sensory descriptors and fashion themes, given by consumers, is modeled using fuzzy cognitive maps. The combination of the two models can provide more complete information to the fashion recommender system, making it possible to evaluate if a specific body shape is relevant to a desired emotional fashion theme and which garment design scheme can improve the image of the body shape. The proposed system has been validated in a customized design and mass market selection through the evaluations of target consumers and fashion experts using a method frequently used in marketing study.
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Understanding Engineering Standards
Virginia Woolf: pic.twitter.com/8IPw1Fmevk
— Dr. Maya C. Popa (@MayaCPopa) May 25, 2023
Rud videregÄende skole Dance
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New update alert! The 2022 update to the Trademark Assignment Dataset is now available online. Find 1.29 million trademark assignments, involving 2.28 million unique trademark properties issued by the USPTO between March 1952 and January 2023: https://t.co/njrDAbSpwB pic.twitter.com/GkAXrHoQ9T
— USPTO (@uspto) July 13, 2023
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