Decentralized, Democratized, and Decarbonized Future Electric Power Distribution Grids: A Survey on the Paradigm Shift From the Conventional Power System to Micro Grid Structures
Survey on the Paradigm Shift to Microgrids
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Fuzzy Logic in Personalized Garment Design
Intelligent Fashion Recommender System: Fuzzy Logic in Personalized Garment Design
L. C. Wang – 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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Readings / The Administrative State
“And though all the winds of doctrine were let loose to play upon the earth,, so Truth be in the field, we do injuriously, by licensing and prohibiting, to misdoubt her strength. Let her and Falsehood grapple; who ever knew Truth put to the worse in a free and open encounter?” — “Areopagitica” 1644 John Milton
“The university is a home of the human spirit,
and when it is ruled by bureaucracy and mediocrity,
the spirit is killed.”
— Roger Scruton
Further Reading:
- “How to Get a Job in the Federal Government” by Lily Whiteman
- “Careers in Government: When Public Service Calls, Opportunities and Options for Making a Difference” by Bruce Maxwell
- “Guide to U.S. Government Practice on Global Sharing of Personal Information” by Inside the Minds Staff
- “Working in the Shadows: A Year of Doing the Jobs (Most) Americans Won’t Do” by Gabriel Thompson
- “Federal Resume Guidebook” by Kathryn K. Troutman
- “The Complete Guide to Writing a Federal Resume” by Diane Hudson
- “Roadmap to Federal Jobs” by Kathryn K. Troutman
- “The Federal Jobs Book: Your One-Stop Guide to Government Employment” by Dennis V. Damp
- “The New SES Application: Writing the Traditional ECQs and the New Five-Page Senior Executive Service Federal Resume” by Kathryn K. Troutman
Drivers and Barriers to Implementation of Connected, Automated, Shared, and Electric Vehicles
Drivers and Barriers to Implementation of Connected, Automated, Shared, and Electric Vehicles
Abstract: Several converging trends appear to reshape the way citizens and goods move about. These trends are social, including urbanization and population growth, and technological, such as increased automation and connectivity. All these factors influence the market for connected, automated, shared and electric (CASE) vehicles, which presents many opportunities and challenges. The pace of the shift to a profoundly penetrated market for CASE vehicles is far from secure. Such transformation depends on the development of technologies, consumer attitudes, and policies. An expanding body of research has investigated the potential social and behavioral results of deploying CASE vehicles. However, most academic literature to date concentrates on technological issues linked to these vehicles.
There are several teams from federal and state agencies, OEMs, academia, startups, and consortiums working on this complex subject. This study investigates several academic papers, as well as federal and industry reports, considering all the stakeholders mentioned above. Its aim is to present a comprehensive picture of the implementation barriers and drivers of CASE vehicle usage and provide suggestions to solve them. The findings confirm that several issues are currently affecting the implementation of CASE vehicles on the road. Although there have been significant partnerships and collaborations between CASE vehicle stakeholders, namely technology companies, federal-state agencies, and academic scholars, considerable work is still required to solve the remaining barriers facing CASE-related technologies. This would enable decision-makers to create effective policies for future transportation networks and increase the speed of CASE vehicle market penetration to enhance road network’s level of service.
A BIM-Based Coordination Support System for Emergency Response
A BIM-Based Coordination Support System for Emergency Response
Yanxiao Feng, et. al
Department of Architectural Engineering, The Pennsylvania State University
Abstract: In fire emergencies, timely communication with on-site coordinators and accurate localization of first responders facilitates effective task assignment and resource allocation in harsh, low-visibility environments. Building information modeling (BIM) is widely accepted in the architecture, engineering, and construction industries as a central repository of building information. It could provide both the geometric building data and semantic information; however, the convenient linkage and integration with indoor location technologies for emergency purposes have not been addressed according to the authors’ knowledge.
A stand-alone BIM-based indoor location (BIMIL) framework and portal were designed and tested to enable the automatic extraction, transformation, and visualization of BIM-related data for public safety purposes in this study. Based on current information technology, this research reduces the gap in cross-application by supporting indoor location to overcome the primary shortcoming of existing indoor building models. Eliminating the need for specific software and skill in data processing, this portal will support on-site coordinators’ importation of BIM files, allowing them to convert those files into processed and visualized indoor information containing key yet simplified geometric building data and essential emergency-related information such as fire rating hours, egresses, and hazardous materials. Additionally, the indoor location data can be integrated into a generalized 3D building model to support decision-making activities and management tasks in the field.
Related:
Emergency Egress Standards@NIST @NFPA @IntlCodeCouncil@IEEECampus
print(“ΠΡΟΜΗΘΈΑΣ”)https://t.co/M6L2BeNt69 pic.twitter.com/eHQjJ8AM1p— Standards Michigan (@StandardsMich) January 18, 2023
Procedures of calculating occupancy loads for purposes of Egresshttps://t.co/EsS2lBUHQfhttps://t.co/wDcfuOHEvn pic.twitter.com/7aqbLTB9V8
— Standards Michigan (@StandardsMich) September 2, 2020
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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