Pub Date : 2021-12-01DOI: 10.1109/iSES52644.2021.00076
Divyang Sureshbhai Jadav, Mukund Madhav Tripathi
Virtual Reality (VR) and Artificial Intelligence (AI) are growing interests in research due to rapid advancements in technology. Fast computation and optimum power requirements are predicted to be vital elements for future technology devices. Field Programmable Gate Arrays (FPGAs) can work as a key element to fulfill this requirement. Also, it’s been a new research area a decade back to simulate touch, smell, and taste. The mathematical model for sensory perception has been developed for touch, but not for Nose (smell) and tongue (taste). The field of Haptics is related to simulating the touch. Touch is the most prominent sense to perceive the real world. A sense of touch gives the feeling of the physical properties of the object. Over the last decades, many theories have been put forward to simulate the touch artificially in computers to feel the virtual world (objects) physical properties. The evolvement of a cost-effective real-time One Degree of Freedom Haptic device with minimum hardware resources is aimed at this paper. The system is a build-up of three phases: System Hardware, System Software, and incorporating both in FPGA as a complete closed-loop solution. The feel of touch-force computation and rendering of graphics is simulated on a single FPGA board.
{"title":"Implementation of Real-Time One Degree of Freedom Haptic Device Using FPGA","authors":"Divyang Sureshbhai Jadav, Mukund Madhav Tripathi","doi":"10.1109/iSES52644.2021.00076","DOIUrl":"https://doi.org/10.1109/iSES52644.2021.00076","url":null,"abstract":"Virtual Reality (VR) and Artificial Intelligence (AI) are growing interests in research due to rapid advancements in technology. Fast computation and optimum power requirements are predicted to be vital elements for future technology devices. Field Programmable Gate Arrays (FPGAs) can work as a key element to fulfill this requirement. Also, it’s been a new research area a decade back to simulate touch, smell, and taste. The mathematical model for sensory perception has been developed for touch, but not for Nose (smell) and tongue (taste). The field of Haptics is related to simulating the touch. Touch is the most prominent sense to perceive the real world. A sense of touch gives the feeling of the physical properties of the object. Over the last decades, many theories have been put forward to simulate the touch artificially in computers to feel the virtual world (objects) physical properties. The evolvement of a cost-effective real-time One Degree of Freedom Haptic device with minimum hardware resources is aimed at this paper. The system is a build-up of three phases: System Hardware, System Software, and incorporating both in FPGA as a complete closed-loop solution. The feel of touch-force computation and rendering of graphics is simulated on a single FPGA board.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124532307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-01DOI: 10.1109/iSES52644.2021.00081
M. Challa, Abhinav Kumar, Linga Reddy Cenkeramaddi
The current work presents a novel approach to signal processing and face recognition based on 60 GHz mmWave RADAR imaging. Machine learning algorithms such as Convolutional Auto-Encoder and Random Forest algorithm are employed to implement the face recognition scheme. The work presents an approach towards computing and processing higher dimensional RADAR imaging information through extreme feature extraction followed by simple Random Forest, thus enabling a computationally inexpensive algorithm for a mobile friendly implementation.
{"title":"Face Recognition using mmWave RADAR imaging","authors":"M. Challa, Abhinav Kumar, Linga Reddy Cenkeramaddi","doi":"10.1109/iSES52644.2021.00081","DOIUrl":"https://doi.org/10.1109/iSES52644.2021.00081","url":null,"abstract":"The current work presents a novel approach to signal processing and face recognition based on 60 GHz mmWave RADAR imaging. Machine learning algorithms such as Convolutional Auto-Encoder and Random Forest algorithm are employed to implement the face recognition scheme. The work presents an approach towards computing and processing higher dimensional RADAR imaging information through extreme feature extraction followed by simple Random Forest, thus enabling a computationally inexpensive algorithm for a mobile friendly implementation.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133207169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-05DOI: 10.36227/techrxiv.16676794.v1
Nehul Singh, S. Chouhan
Artificial intelligence has proven a matching technology to support multiple business system applications. This technology has been in use to reshape current business models and to provide innovative management strategies. Growing business competition among major players is also strengthening its applications. The business information system with use of artificial intelligence raises the competitiveness of enterprises in the global market. The fast pace of merging artificial intelligence and automation are propelling strategists to revise business models and to explore new possibilities to meet the customer expectations. This paper focuses on the impact of artificial intelligence on business systems. The article also presents an overview of influential academic achievements and innovations in the field of artificial intelligence and their solutions for entrepreneurial activities. In the end, we intend to discuss important points spurred around us in today’s scenario about the challenges and future of artificial intelligence.
{"title":"Role of Artificial Intelligence for Development of Intelligent Business Systems","authors":"Nehul Singh, S. Chouhan","doi":"10.36227/techrxiv.16676794.v1","DOIUrl":"https://doi.org/10.36227/techrxiv.16676794.v1","url":null,"abstract":"Artificial intelligence has proven a matching technology to support multiple business system applications. This technology has been in use to reshape current business models and to provide innovative management strategies. Growing business competition among major players is also strengthening its applications. The business information system with use of artificial intelligence raises the competitiveness of enterprises in the global market. The fast pace of merging artificial intelligence and automation are propelling strategists to revise business models and to explore new possibilities to meet the customer expectations. This paper focuses on the impact of artificial intelligence on business systems. The article also presents an overview of influential academic achievements and innovations in the field of artificial intelligence and their solutions for entrepreneurial activities. In the end, we intend to discuss important points spurred around us in today’s scenario about the challenges and future of artificial intelligence.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129342086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-06-22DOI: 10.1017/S1431927610093542
Péter Sárosi, C. Schooley, D. Leonard, E. Schumacher, E. Humphrey
Provides an abstract for each of the tutorial presentations and may include a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
{"title":"Tutorials","authors":"Péter Sárosi, C. Schooley, D. Leonard, E. Schumacher, E. Humphrey","doi":"10.1017/S1431927610093542","DOIUrl":"https://doi.org/10.1017/S1431927610093542","url":null,"abstract":"Provides an abstract for each of the tutorial presentations and may include a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.","PeriodicalId":293167,"journal":{"name":"2021 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129199356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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