Pub Date : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037514
Sajeewa Pemasinghe, Dinuka Dayarathna, P. M. R A Panditharathna, Shanaka Saparamadu, J. Wickramarathne
Having easy access to vital weather information and latest climate trends can be of utmost use for a myriad of stakeholders specially for sectors such as fishing community and the agricultural sector. In this paper we have mainly focused on major Sri Lankan cities and providing a one-stop station for easily accessing useful weather information for all the major Sri Lankan cities scattered over 25 administrative districts via a series of dedicated dashboards for each of the cities. The parameters that are displayed in the dashboards have been decided via surveys covering major stakeholders. Steps have been taken to disseminate not only the weather information but also information about latest climate trends regarding stratospheric ozone concentration and global land and ocean temperature anomalies, and providing all this information in one place with a lot of potential to extend the breadth of information provided in terms of weather and climate changes in the years to come.
{"title":"An Online Dashboard Platform for Weather Data of Major Sri Lankan Cities, and Global Climate Trends","authors":"Sajeewa Pemasinghe, Dinuka Dayarathna, P. M. R A Panditharathna, Shanaka Saparamadu, J. Wickramarathne","doi":"10.1109/IBSSC56953.2022.10037514","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037514","url":null,"abstract":"Having easy access to vital weather information and latest climate trends can be of utmost use for a myriad of stakeholders specially for sectors such as fishing community and the agricultural sector. In this paper we have mainly focused on major Sri Lankan cities and providing a one-stop station for easily accessing useful weather information for all the major Sri Lankan cities scattered over 25 administrative districts via a series of dedicated dashboards for each of the cities. The parameters that are displayed in the dashboards have been decided via surveys covering major stakeholders. Steps have been taken to disseminate not only the weather information but also information about latest climate trends regarding stratospheric ozone concentration and global land and ocean temperature anomalies, and providing all this information in one place with a lot of potential to extend the breadth of information provided in terms of weather and climate changes in the years to come.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122259993","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 : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037518
Vishrut Chokshi, Mit K. Shah, Param Mehta, Malhar Vairale, Saurabh Mehta, K. Talele
Radio Frequency Identification (RFID) is one of the enabling technologies for IoT. RFID is a computerizing recognition process field that has steadily gained momentum in recent years. It is now being recognized as a technique to improve data handling processes, complementing other data capture technologies in many ways. Numerous devices and accompanying systems have been created to meet a wide range of applications. Given its effectiveness and affordability, short-range surveillance and monitoring can benefit greatly from RFID technology. This paper aims to show an example of how RFID technology can be used as an inventory management tool in university labs where a large number of equipment is a challenge that faculty have to face every day. The developed system allows students to virtually see which labs are present in the university and the equipment present in them. Secondly, they can apply for usage of a particular piece of equipment between a time slot, and it can be authenticated by that RFID tag present next to computerizing recognition process field that has been scanned before usage.
{"title":"Implementation of RFID-based Lab Inventory System","authors":"Vishrut Chokshi, Mit K. Shah, Param Mehta, Malhar Vairale, Saurabh Mehta, K. Talele","doi":"10.1109/IBSSC56953.2022.10037518","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037518","url":null,"abstract":"Radio Frequency Identification (RFID) is one of the enabling technologies for IoT. RFID is a computerizing recognition process field that has steadily gained momentum in recent years. It is now being recognized as a technique to improve data handling processes, complementing other data capture technologies in many ways. Numerous devices and accompanying systems have been created to meet a wide range of applications. Given its effectiveness and affordability, short-range surveillance and monitoring can benefit greatly from RFID technology. This paper aims to show an example of how RFID technology can be used as an inventory management tool in university labs where a large number of equipment is a challenge that faculty have to face every day. The developed system allows students to virtually see which labs are present in the university and the equipment present in them. Secondly, they can apply for usage of a particular piece of equipment between a time slot, and it can be authenticated by that RFID tag present next to computerizing recognition process field that has been scanned before usage.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114246612","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 : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037370
Slade Ferrao, Riona Dsouza, Sonal L Chaudhari, S. Shaikh
Many women run their own businesses, such as Homemade Spices and Snacks. These people have a difficult time reaching out to customers. Their sales and marketing efforts are limited to word-of-mouth publicity and personal experiences. The project will include an e-commerce platform where women will be able to set up their presence online and conduct their business digitally. This innovative platform allows these women to register themselves and reach a large number of consumers. This application will enable the sellers to sell and advertise their products and it will provide them with monthly insights about their sales.
{"title":"E-sewa app for self-employed women","authors":"Slade Ferrao, Riona Dsouza, Sonal L Chaudhari, S. Shaikh","doi":"10.1109/IBSSC56953.2022.10037370","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037370","url":null,"abstract":"Many women run their own businesses, such as Homemade Spices and Snacks. These people have a difficult time reaching out to customers. Their sales and marketing efforts are limited to word-of-mouth publicity and personal experiences. The project will include an e-commerce platform where women will be able to set up their presence online and conduct their business digitally. This innovative platform allows these women to register themselves and reach a large number of consumers. This application will enable the sellers to sell and advertise their products and it will provide them with monthly insights about their sales.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130220514","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 : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037383
Ashwin Sharma, Disha Devalia, Wilfred Almeida, Harshali P. Patil, A. Mishra
Though automated statistics has started gaining some momentum in the field of data analysis, it is not unified and very slow with large datasets. Due to computing limitations or lack of specific domain knowledge, general statistics have been used most commonly. But now research advisors are attracted towards a machine learning-based approach for statistical analysis of Data Sets which may help bridge gaps between traditional approaches like correlation matrices, p-values, etc., and new models like GPT3. This paper proposes a novel approach for the analysis of large datasets which uses GPT3 to predict insights from calculated statistics of data. The research addresses the limitations of existing methods and proposes a novel framework to analyze large statistical data sets, which solves many computationally challenging problems in efficient ways. Our proposed method works on top of GPT3's features, where it learns to predict individual words from particular parts of the dataset you pass as prompts (cumulative sums/means etc.) enabling us to analyze extremely large datasets such as telecom churn or census data. A comparison of traditional methods, statistical analysis, and machine learning approaches with GPT3 will be made. Furthermore, a discussion on the pros and cons of using GPT3 for this research is also discussed from the point of view of performance, accuracy, and reliability concerns.
{"title":"Statistical Data Analysis using GPT3: An Overview","authors":"Ashwin Sharma, Disha Devalia, Wilfred Almeida, Harshali P. Patil, A. Mishra","doi":"10.1109/IBSSC56953.2022.10037383","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037383","url":null,"abstract":"Though automated statistics has started gaining some momentum in the field of data analysis, it is not unified and very slow with large datasets. Due to computing limitations or lack of specific domain knowledge, general statistics have been used most commonly. But now research advisors are attracted towards a machine learning-based approach for statistical analysis of Data Sets which may help bridge gaps between traditional approaches like correlation matrices, p-values, etc., and new models like GPT3. This paper proposes a novel approach for the analysis of large datasets which uses GPT3 to predict insights from calculated statistics of data. The research addresses the limitations of existing methods and proposes a novel framework to analyze large statistical data sets, which solves many computationally challenging problems in efficient ways. Our proposed method works on top of GPT3's features, where it learns to predict individual words from particular parts of the dataset you pass as prompts (cumulative sums/means etc.) enabling us to analyze extremely large datasets such as telecom churn or census data. A comparison of traditional methods, statistical analysis, and machine learning approaches with GPT3 will be made. Furthermore, a discussion on the pros and cons of using GPT3 for this research is also discussed from the point of view of performance, accuracy, and reliability concerns.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133297067","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 : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037335
Deboleena Chakraborty, A. K. Verma, Satish Sharma, R. Bhakar
An electrical power grid is a conglomerate system that requires meticulous monitoring to ensure uninterrupted, secured and reliable grid operation by incorporating state estimation to ensure a better estimate of the power grid state through assessment of meter quantification. The state estimator operates on real-time inputs that are data and status information. Thereby, it becomes necessary to automatize and digitize the electric grid by enhancing the widespread installation of Remote Terminal (RTUs) and Phasor Measurement Units (PMUs) for improvising real-time wide-area system monitoring and control. However, the challenge of anomaly detection of the data obtained from the PMUs still exists as the PMUs data comprises different types of anomalies arising from both physical and cyber systems. This work proposes a machine learning-based scheme to detect the anomaly in the data. Principal Component Analysis algorithm is used as the feature selection algorithm to attain the important characteristics in the data and then a supervised classification algorithm is used to obtain the erroneous data in the PMU data streams.
{"title":"Feature Selection based False Data Detection Scheme using Machine Learning for Power System","authors":"Deboleena Chakraborty, A. K. Verma, Satish Sharma, R. Bhakar","doi":"10.1109/IBSSC56953.2022.10037335","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037335","url":null,"abstract":"An electrical power grid is a conglomerate system that requires meticulous monitoring to ensure uninterrupted, secured and reliable grid operation by incorporating state estimation to ensure a better estimate of the power grid state through assessment of meter quantification. The state estimator operates on real-time inputs that are data and status information. Thereby, it becomes necessary to automatize and digitize the electric grid by enhancing the widespread installation of Remote Terminal (RTUs) and Phasor Measurement Units (PMUs) for improvising real-time wide-area system monitoring and control. However, the challenge of anomaly detection of the data obtained from the PMUs still exists as the PMUs data comprises different types of anomalies arising from both physical and cyber systems. This work proposes a machine learning-based scheme to detect the anomaly in the data. Principal Component Analysis algorithm is used as the feature selection algorithm to attain the important characteristics in the data and then a supervised classification algorithm is used to obtain the erroneous data in the PMU data streams.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132147841","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 : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037296
Om Naik, Nimai Patel, Sabir Ali Baba, Harshal Dalvi
Ride-hailing applications like Uber and Ola have gained immense popularity in India and across the globe as convenient alternatives to traditional modes of travel such as private vehicles which can be unaffordable many times due to rising fuel prices and maintenance cost etc., buses and trains which are crowded; and taxis and auto rickshaws which can deny you service at the driver's whim. The advancement in internet technology and affordable smartphones have made it convenient to book a ride through our smartphones in just a few clicks. However, the service has also brought with it a slew of other challenges like unpredictable surge-pricing and high intermediary fees. The current research into decentralized systems for vehicles is accelerating rapidly. Even then, implementing a decentralized ride-hailing platform proves to be a difficult challenge due to the inherently centralized nature of traditional ride-hailing systems. Blockchain and other similar decentralized technologies are an attractive choice for this architecture due to their immutability, transparency and fault tolerance. If implemented successfully, decentralization using blockchain technology would remove roadblocks along the way such as intermediary fees and surge charges by third parties as it would offer more transparency. This paper proposes a framework for developing a decentralized ride-hailing architecture implemented on the InterPlanetary File System (IPFS) and Ethereum blockchain platform.
{"title":"Decentralized Ride Hailing System using Blockchain and IPFS","authors":"Om Naik, Nimai Patel, Sabir Ali Baba, Harshal Dalvi","doi":"10.1109/IBSSC56953.2022.10037296","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037296","url":null,"abstract":"Ride-hailing applications like Uber and Ola have gained immense popularity in India and across the globe as convenient alternatives to traditional modes of travel such as private vehicles which can be unaffordable many times due to rising fuel prices and maintenance cost etc., buses and trains which are crowded; and taxis and auto rickshaws which can deny you service at the driver's whim. The advancement in internet technology and affordable smartphones have made it convenient to book a ride through our smartphones in just a few clicks. However, the service has also brought with it a slew of other challenges like unpredictable surge-pricing and high intermediary fees. The current research into decentralized systems for vehicles is accelerating rapidly. Even then, implementing a decentralized ride-hailing platform proves to be a difficult challenge due to the inherently centralized nature of traditional ride-hailing systems. Blockchain and other similar decentralized technologies are an attractive choice for this architecture due to their immutability, transparency and fault tolerance. If implemented successfully, decentralization using blockchain technology would remove roadblocks along the way such as intermediary fees and surge charges by third parties as it would offer more transparency. This paper proposes a framework for developing a decentralized ride-hailing architecture implemented on the InterPlanetary File System (IPFS) and Ethereum blockchain platform.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114182237","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 : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037485
Vaibhav Saini, Pritesh Shah, R. Aravind Sekhar
Building automation is the need of the hour to save energy and improve occupant safety and comfort. Matlab and Simulink play an important role in building automation and control systems (BACS). This paper firstly presents a brief review of the various elements of BACS including its user-centricity, integration with building information modeling (BIM), heating ventilation and air conditioning (HVAC), energy consumption, BACS in industries, sports facilities and its security aspects. The subsequent section presents the various toolboxes of Matlab and Simulink used in the application of BACS. These toolboxes include Simscape, Simulink Real Time, Speedgoat, Stateflow, Simulink Coder, Simulink PLC coder, Simulink report generator, fixed point designer, Simscape multibody, Simscape fluids, control systems and more. Lastly, a section has been dedicated to the Matlab-Simulink enabled elevator dynamics environment for BACS operated smart elevator systems. Hence, this paper establishes the importance of Matlab and Simulink in design, operation and maintenance of BACS architectures.
楼宇自动化是节约能源、提高居住者安全和舒适度的时代需求。Matlab和Simulink在楼宇自动化控制系统(BACS)中起着重要的作用。本文首先简要回顾了BACS的各个要素，包括以用户为中心、与建筑信息模型(BIM)的集成、采暖通风和空调(HVAC)、能源消耗、BACS在工业中的应用、体育设施及其安全方面。下一节介绍BACS应用中使用的Matlab和Simulink的各种工具箱。这些工具箱包括Simscape、Simulink Real Time、Speedgoat、Stateflow、Simulink编码器、Simulink PLC编码器、Simulink报告生成器、定点设计器、Simscape多体、Simscape流体、控制系统等。最后，有一节专门介绍了用于BACS操作的智能电梯系统的Matlab-Simulink电梯动力学环境。由此，本文确立了Matlab和Simulink在BACS体系结构设计、运维中的重要性。
{"title":"MATLAB and Simulink for Building Automation","authors":"Vaibhav Saini, Pritesh Shah, R. Aravind Sekhar","doi":"10.1109/IBSSC56953.2022.10037485","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037485","url":null,"abstract":"Building automation is the need of the hour to save energy and improve occupant safety and comfort. Matlab and Simulink play an important role in building automation and control systems (BACS). This paper firstly presents a brief review of the various elements of BACS including its user-centricity, integration with building information modeling (BIM), heating ventilation and air conditioning (HVAC), energy consumption, BACS in industries, sports facilities and its security aspects. The subsequent section presents the various toolboxes of Matlab and Simulink used in the application of BACS. These toolboxes include Simscape, Simulink Real Time, Speedgoat, Stateflow, Simulink Coder, Simulink PLC coder, Simulink report generator, fixed point designer, Simscape multibody, Simscape fluids, control systems and more. Lastly, a section has been dedicated to the Matlab-Simulink enabled elevator dynamics environment for BACS operated smart elevator systems. Hence, this paper establishes the importance of Matlab and Simulink in design, operation and maintenance of BACS architectures.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126651991","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 : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037507
Rahul Hermon, Upasna Singh, Bhupendra Singh
Alternate Data Streams (ADS) have been a feature of the New Technology File System (NTFS) since its introduction in 1993. Alternate Data Streams (ADS) were introduced to address compatibility within the existing Operating Systems. Lately Hackers/Cyber Criminals have used Alternate Data Streams (ADS) as a means for launching Cyber- Attacks. Alternate Data Streams (ADS) allow data hiding, same being difficult to detect without adequate knowledge. In this paper we shall bring out the various Forensic techniques in which hidden data in Alternate Data Streams (ADS) can be detected. Finally, we compared the Forensic techniques to detect data hidden in Alternate Data Streams (ADS) in both Windows 10 and 11 Operating System.
{"title":"Forensic Techniques to Detect Hidden Data in Alternate Data Streams in NTFS","authors":"Rahul Hermon, Upasna Singh, Bhupendra Singh","doi":"10.1109/IBSSC56953.2022.10037507","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037507","url":null,"abstract":"Alternate Data Streams (ADS) have been a feature of the New Technology File System (NTFS) since its introduction in 1993. Alternate Data Streams (ADS) were introduced to address compatibility within the existing Operating Systems. Lately Hackers/Cyber Criminals have used Alternate Data Streams (ADS) as a means for launching Cyber- Attacks. Alternate Data Streams (ADS) allow data hiding, same being difficult to detect without adequate knowledge. In this paper we shall bring out the various Forensic techniques in which hidden data in Alternate Data Streams (ADS) can be detected. Finally, we compared the Forensic techniques to detect data hidden in Alternate Data Streams (ADS) in both Windows 10 and 11 Operating System.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129494516","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 : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037433
Ayman Rummun, L. Nagowah
In 2020, there were 234 thousand or so people in Mauritius who were over 60. From 36 thousand in 1971 to 234 thousand in 2020, this age group has increased significantly. Mauritius is at the forefront of Africa in proactively recognizing aging as a serious problem for the wellbeing and competitiveness of its society and economy. Alzheimer's disease and dementia are two age-related illnesses that are becoming more common in older people, posing a frightening challenge not just for those who have them but also for their family and caregivers. It is therefore crucial to participate in activities that maintain a healthy and active neurological system because as we age, the nerves in our brains tend to deteriorate. The primary aim of this paper is hence to create a mobile serious game, Genius that can help to maintain the cognitive abilities of the elderly people. Genius consists of several games aiming at improving the memory, attention, problem-solving, speed, concentration, reflex, communication and language skills of the user. This mobile application can be used by elders in retirement homes initially under the supervision of a healthcare assistant or by independent elders. Genius has been tested in a Non-Governmental Organization based in Mauritius and has been appreciated by the users including the caregivers. We anticipate that the use of the mobile serious game Genius will be very beneficial for the aging population of Mauritius and can eventually help in reducing the risks of dementia.
{"title":"Genius - Brain Training Mobile Application for the Elderly","authors":"Ayman Rummun, L. Nagowah","doi":"10.1109/IBSSC56953.2022.10037433","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037433","url":null,"abstract":"In 2020, there were 234 thousand or so people in Mauritius who were over 60. From 36 thousand in 1971 to 234 thousand in 2020, this age group has increased significantly. Mauritius is at the forefront of Africa in proactively recognizing aging as a serious problem for the wellbeing and competitiveness of its society and economy. Alzheimer's disease and dementia are two age-related illnesses that are becoming more common in older people, posing a frightening challenge not just for those who have them but also for their family and caregivers. It is therefore crucial to participate in activities that maintain a healthy and active neurological system because as we age, the nerves in our brains tend to deteriorate. The primary aim of this paper is hence to create a mobile serious game, Genius that can help to maintain the cognitive abilities of the elderly people. Genius consists of several games aiming at improving the memory, attention, problem-solving, speed, concentration, reflex, communication and language skills of the user. This mobile application can be used by elders in retirement homes initially under the supervision of a healthcare assistant or by independent elders. Genius has been tested in a Non-Governmental Organization based in Mauritius and has been appreciated by the users including the caregivers. We anticipate that the use of the mobile serious game Genius will be very beneficial for the aging population of Mauritius and can eventually help in reducing the risks of dementia.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130136673","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 : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037512
Swati Saigaonkar, Dr. Vaibhav Eknath Narawade
Electronic health records(EHR) have been used extensively by researchers lately to gain insights and use them as clinical informatics. EHR data contains structured data, as a result of having information systems in-place, and also unstructured data like clinical notes. These unstructured data have a huge scope of exploration and can derive meaningful insights. Challenges exists like the heterogeneous and multi modal nature of such data. This work provides insights into the EHR data, the datasets available for research, the tasks that can be performed on them, the methods that can be applied on them, and then demonstrates how BERT and DistilBERT can be fine-tuned on the medical datasets to predict chronic diseases like asthma, renal diseases, heart diseases and arthritis and how DISTILBERT can be a preferred option over BERT. Both the models BERT and DISTILBERT have been pre-trained and then fine tuned to predict the chronic diseases from the clinical notes.
{"title":"Predicting chronic diseases using clinical notes and fine-tuned transformers","authors":"Swati Saigaonkar, Dr. Vaibhav Eknath Narawade","doi":"10.1109/IBSSC56953.2022.10037512","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037512","url":null,"abstract":"Electronic health records(EHR) have been used extensively by researchers lately to gain insights and use them as clinical informatics. EHR data contains structured data, as a result of having information systems in-place, and also unstructured data like clinical notes. These unstructured data have a huge scope of exploration and can derive meaningful insights. Challenges exists like the heterogeneous and multi modal nature of such data. This work provides insights into the EHR data, the datasets available for research, the tasks that can be performed on them, the methods that can be applied on them, and then demonstrates how BERT and DistilBERT can be fine-tuned on the medical datasets to predict chronic diseases like asthma, renal diseases, heart diseases and arthritis and how DISTILBERT can be a preferred option over BERT. Both the models BERT and DISTILBERT have been pre-trained and then fine tuned to predict the chronic diseases from the clinical notes.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130556628","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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