Z. Ahmed, Mustafizur Rahman Cornel, Mohammad Monirujjaman Khan, Ibrahim Khalil, Md Kawsar Hossan, Tahia Tazin
{"title":"Development of Lawyer Finding Web Application for Bangladesh","authors":"Z. Ahmed, Mustafizur Rahman Cornel, Mohammad Monirujjaman Khan, Ibrahim Khalil, Md Kawsar Hossan, Tahia Tazin","doi":"10.1109/ISIEA51897.2021.9509976","DOIUrl":"https://doi.org/10.1109/ISIEA51897.2021.9509976","url":null,"abstract":"At present, there are relatively few simple approaches to contacting advocates as a result of the lack of a legitimate site. An online application has been made where individuals in Bangladesh can locate a close-by attorney in Bangladesh. The primary target is to make a site and an android application task to tackle the issue of lacking contact with the neighborhood network of attorneys, who are associated with taking care of lawful circumstances and who need to find support from the law. As a result, the site will benefit individuals who are dealing with legitimate issues and require equity. Individuals will discover the subtleties of the close-by legal counselor and can take help from legal advisors. By utilizing the site, individuals don't need to meander around the court to locate the ideal attorney.","PeriodicalId":336442,"journal":{"name":"2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130239109","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}
Muhammad Muhaymin Che Ismail, Ili Shairah Abdul Halim, Siti Lailatul Mohd Hassan, A’Zraa Afhzan Ab. Rahim, N. E. Abdullah
{"title":"Fault Tolerant Design Comparison Study of TMR and 5MR","authors":"Muhammad Muhaymin Che Ismail, Ili Shairah Abdul Halim, Siti Lailatul Mohd Hassan, A’Zraa Afhzan Ab. Rahim, N. E. Abdullah","doi":"10.1109/ISIEA51897.2021.9509996","DOIUrl":"https://doi.org/10.1109/ISIEA51897.2021.9509996","url":null,"abstract":"Field Programmable Gate Arrays (FPGAs) is widely used especially in critical application such as military system and aerospace system due to its reconfigurable advantages. FPGA may prone to fault due to many factors such as radiation. Redundancy method is used to overcome this problem and can improve the reliability of a system. In this work, fault tolerant design technique for Triple Modular Redundancy (TMR) and Five Modular Redundancy (5MR) were compared on DE1-SoC FPGA boards. Fault were injected by adding a fault module that made selected module become faulty to the circuit under test (CUT) board which is interfaced with the main FPGA board. The result of fault injection test shows 5MR produce more correct output than TMR even though 5MR use 1.67 times more resources.","PeriodicalId":336442,"journal":{"name":"2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133986779","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}
{"title":"Blockchain-based Parametric Health Insurance","authors":"Purshottam Purswani","doi":"10.1109/ISIEA51897.2021.9510001","DOIUrl":"https://doi.org/10.1109/ISIEA51897.2021.9510001","url":null,"abstract":"In traditional indemnity policy insurance, the payment is made to the insurer based on the actual loss or the damage from an insured physical asset. Therefore, the settlement is typically a very long process as there are multiple parties involved. In comparison, parametric insurance insures a policyholder against the occurrence of a specific event by paying a set amount based on the magnitude of the event.We have seen that with digitization, the insurance industries have also been disrupted through the use of innovative insurance schemes, one of them being parametric insurance. In parametric insurance, a fixed amount is paid on an event once a certain threshold is crossed. The amount is determined based on the modeled forecast of the loss.Parametric insurance will help settle the claim process, which currently is challenged with a longer settlement duration and disputes. However, for parametric insurance to work, there is a need for the data providers to capture events and their trust factor. In the new data-driven age, technologies like IoT, API’s, and distributed ledgers are the technology enablers to capture real-time events and add a trust factor with the distributed ledger. Though parametric insurance can be implemented with the traditional centralized database approach, it has limitations on trust issues as the data can be manipulated.This paper explores how we can realize trusted digital technology-enabled parametric health insurance. It will deep dive into the technical solution, challenges to design, deploy, and parametric service insurance. A proof of concept was done for health-based parametric insurance, and the resultant blueprint, which can be applied for other use cases, is shared in sections ahead","PeriodicalId":336442,"journal":{"name":"2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"113 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114091460","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}
{"title":"Blind Joint Nonlinear Equalizer for mmWave Communications","authors":"Bo-Henq Yeh, Fang-Biau Uenq, Cheng-Feng Wu","doi":"10.1109/ISIEA51897.2021.9509989","DOIUrl":"https://doi.org/10.1109/ISIEA51897.2021.9509989","url":null,"abstract":"In this paper, we study the blind joint nonlinear receiver for millimeter wave (mmWave) communication systems. The mmWave system operates in a very high-frequency band and has a lot of bandwidth resources. The RF power amplifier (PA) used by the system poses a huge challenge to signal detection and demodulation. Instead of using high-complexity and difficult-to-implement digital predistortion at the transmitter, the blind joint nonlinear receiver is proposed to make mmWave communication a new possibility in 5G NR. Due to the non-linearity and edge integration, the posteriori probability of the received signal is quite difficult to analyze, which makes existing linear equalization techniques unusable. Therefore, we use the particle filter that is based on Monte Carlo sequence importance sampling. With the aid of LDPC (low-density parity-check) decoding, the proposed blind receiver can operate without training sequence. In this way, the unknown transmitting signal can be successfully recursively estimated. The simulation results validate the proposed method.","PeriodicalId":336442,"journal":{"name":"2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"48 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130852680","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}
Raihah Aminuddin, M. Noor, N. F. Ilias, Normilah Wahab
{"title":"Framework for a mobile application with a chatbot to self-report injuries and carry out contact tracing for athletes and sports trainers","authors":"Raihah Aminuddin, M. Noor, N. F. Ilias, Normilah Wahab","doi":"10.1109/ISIEA51897.2021.9509978","DOIUrl":"https://doi.org/10.1109/ISIEA51897.2021.9509978","url":null,"abstract":"Covid-19 has negatively affected the sports industry. Now, injured athletes who need treatment may not get assessed and receive medical care quickly. This may lead to the worsening of their injuries. The pandemic has also affected students who aspire to become athlete’s trainers that specialize in treatment for injured athletes. The purpose of this study is to provide a framework for a mobile application with a chatbot that gathers necessary information from injured athletes who require medical attention as well as performs contact tracing during the pandemic. Athletes and trainers will interact with a chatbot named Athlete Trainer Bot (ATBOT). ATBOT assesses injuries and a suitable rehabilitation plan will be provided by the athlete trainers through the mobile application.","PeriodicalId":336442,"journal":{"name":"2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127371419","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}