IT ProfessionalPub Date : 2024-01-22DOI: 10.1109/mitp.2023.3333074
George Strawn
{"title":"Masterminds of Punched Card Data Processing: Herman Hollerith and John Billings","authors":"George Strawn","doi":"10.1109/mitp.2023.3333074","DOIUrl":"https://doi.org/10.1109/mitp.2023.3333074","url":null,"abstract":"Herman Hollerith was an American inventor and engineer who played a significant role in the development of computing and information processing systems. He is best known for inventing the punched card tabulating machine, which was used for processing data and performing calculations. This invention laid the foundation for modern data processing and greatly influenced the development of early computers. Hollerith’s work eventually led to the formation of the company that would later become IBM. (Courtesy of ChatGPT.) John Shaw Billings was a prominent American librarian, physician, and the first director of the New York Public Library. He is best known for his significant contributions to the field of medical librarianship and the organization of medical information. Billings was instrumental in the development of the Library of the Surgeon General’s Office, which later became the National Library of Medicine. He played a key role in expanding its collection and making it a comprehensive resource for medical literature. (ChatGPT does not mention his contributions to the census or punched card data processing.)","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"9 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139678805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IT ProfessionalPub Date : 2024-01-22DOI: 10.1109/mitp.2023.3339449
Susanna Kaiser, Stephan Sand, Magdalena Linkiewicz, Henry Meißner, Dirk Baumbach, Ralf Berger
{"title":"An Overall First Responder Tracking and Coordination Framework","authors":"Susanna Kaiser, Stephan Sand, Magdalena Linkiewicz, Henry Meißner, Dirk Baumbach, Ralf Berger","doi":"10.1109/mitp.2023.3339449","DOIUrl":"https://doi.org/10.1109/mitp.2023.3339449","url":null,"abstract":"For professional use cases like police or fire brigade operations, a reliable self-localization is advantageous for the coordination of first responders (FRs). Self-localization is especially difficult in indoor scenarios where neither global navigation satellite systems’ signals may be received nor additional signals of opportunity exist for enabling reliable positioning. In this article, we propose an overall system that combines self-localization, communication of the FRs’ locations, 3-D building reconstruction or floor plans (if available), and visualization. The indoor navigation technique is based solely on inertial sensors and builds on a simultaneous localization and mapping technique. It is capable of using any information about the building layout as prior information for enhancing indoor positioning, georeferencing the positions, and finally, visualizing the results in a suitable visualization tool.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"3 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139678687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IT ProfessionalPub Date : 2024-01-22DOI: 10.1109/mitp.2023.3322410
Abdul Majeed, Seong Oun Hwang
{"title":"Technical Analysis of Data-Centric and Model-Centric Artificial Intelligence","authors":"Abdul Majeed, Seong Oun Hwang","doi":"10.1109/mitp.2023.3322410","DOIUrl":"https://doi.org/10.1109/mitp.2023.3322410","url":null,"abstract":"The artificial intelligence (AI) field is going through a dramatic revolution in terms of new horizons for research and real-world applications, but some research trajectories in AI are becoming detrimental over time. Recently, there has been a growing call in the AI community to combat a dominant research trend named model-centric AI (MC-AI), which only fiddles with complex AI codes/algorithms. MC-AI may not yield desirable results when applied to real-life problems like predictive maintenance due to limited or poor-quality data. In contrast, a relatively new paradigm named data-centric (DC-AI) is becoming more popular in the AI community. In this article, we discuss and compare MC-AI and DC-AI in terms of basic concepts, working mechanisms, and technical differences. Then, we highlight the potential benefits of the DC-AI approach to foster further research on this recent paradigm. This pioneering work on DC-AI and MC-AI can pave the way to understand the fundamentals and significance of these two paradigms from a broader perspective.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"9 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139678797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Decentralized Cooperative Navigation Approach for Visual Homing Networks","authors":"Mohamed Rahouti, Damian Lyons, Senthil Kumar Jagatheesaperumal, Kaiqi Xiong","doi":"10.1109/mitp.2023.3323865","DOIUrl":"https://doi.org/10.1109/mitp.2023.3323865","url":null,"abstract":"Visual homing is a lightweight approach to visual navigation. Given the stored information of an initial “home” location, the navigation task back to this location is achieved from any other location by comparing the stored home information to the current image and extracting a motion vector. A challenge that constrains the applicability of visual homing is that the home location must be within the robot’s field of view to initiate the homing process. Thus, we propose a blockchain approach to visual navigation for a heterogeneous robot team over a wide area of visual navigation. Because it does not require map data structures, the approach is useful for robot platforms with a small computational footprint, and, because it leverages current visual information, it supports a resilient and adaptive path selection. Further, we present a lightweight proof-of-work mechanism for reaching consensus in the untrustworthy visual homing network.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"28 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139678810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}