{"title":"Provoking Medication Adherence With Automated IoT System","authors":"Manvi Jha, A. Bhandari","doi":"10.1109/TENSYMP52854.2021.9550893","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550893","url":null,"abstract":"Medication non-adherence is a nonpareil medical concern in the contemporary world. Tremendous research in the concerned field has resulted in innumerable solutions to the concern. While most of these modern solutions concentrate on recording the medication habits of patients, they fail to incorporate the schedule of medication into the daily life of patients. Significant research regarding the concerned problem in the medical world has revealed several key factors contributing to the cause of ever-increasing medication non-adherence in patients. This paper presents a technological solution to the issue by exploiting the domains of the Internet of Things (IoT). IoT signifies the future of technology with its exponentially increasing growth and demand. Thus, ensuring one of the best possible solutions using IoT, the paper aims to eradicate medication non-adherence by attending to all its contributing factors. In the form of a solution, this paper proposes a chain for medication that will involve the patients and doctors and caretakers connecting all of them with wireless and automated technology. The automated medication box provided to the patients aims to fit medicines in the busy schedules of their daily lives with minimal effort. The mobile app provided to the patients aims to reduce the disillusioned psychological perspectives of patients especially the elderly and help them gain their trust and wisdom on the medication process. Thus, considering all contributing factors this paper aims to resolve the widespread concern with minimal but extremely effective methods.","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132675964","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":"Spiking Neural Networks Using Backpropagation","authors":"Tehreem Syed, Vijay Kakani, X. Cui, Hakil Kim","doi":"10.1109/TENSYMP52854.2021.9550994","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550994","url":null,"abstract":"Brain-inspired Spiking Neural Networks (SNNs) occur with well-known neuromorphic hardware that delivers extra energy compared to conventional artificial neural networks (ANNs). Nevertheless, exploiting the same network layers as conventional ANNs to persevere a task appears unsuitable. Previous works employ similar architectures as Artificial Neural Networks and transform them into Spiking Neural Networks to attain the most exemplary performance as conventional ANNs. Nevertheless, this conversion technique needs greater timesteps for training spiking neural networks (SNNs). In this work, rather than using the ANN to SNN conversion method, we exploit the SNNs training directly using spike-based backpropagation. Since utilizing SNNs with the spike-based backpropagation requires fewer timesteps compared to ANN to SNN transformation approach. This work evaluates the classification performance on public and private (MNIST, Fashion MNIST, and KITTI) datasets.","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121284082","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":"Influence of Nanoparticles on Electrical Treeing in Epoxy Based Dielectrics","authors":"D. P, P. Preetha","doi":"10.1109/TENSYMP52854.2021.9550827","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550827","url":null,"abstract":"The degradation occurring in epoxy nanocomposites due to electrical treeing has been studied through a simulation using cellular automata models. Epoxy nanocomposites containing alumina, zinc oxide and titania nanofillers, each with weight proportions of 1%, 2% and 5% are subjected to study along with pure epoxy. The simulation has been carried out by inserting the dielectric material between needle and plane electrodes to which a DC voltage has been applied. Changes in treeing pattern in the material with different types of nanofillers of various weight proportions have been investigated in detail. The length of the tree developed in the material and the area of degradation have been measured to determine the extent of degradation taking place in the epoxy nanocomposites. Simulation results reveal that the nanoparticles hinder the tree propagation in epoxy nanocomposites considerably. The degradation is seen to be minimum for nanocomposite containing alumina nanofiller followed by that with zinc oxide while the increase in weight proportions from 1% to 5% helps decrease the extent of degradation for all the three nanofillers.","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116304504","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":"An Ultra-low Power Thermo-Electric Harvester in 45nm CMOS Process","authors":"Anela L. Salvador, Ralph Gerard B. Sangalang","doi":"10.1109/TENSYMP52854.2021.9550924","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550924","url":null,"abstract":"An ultra-low power thermoelectric harvester implemented in 45nm CMOS (Complementary Metal Oxide Semiconductor) process is presented in this paper. With the increasing demand of using low voltage portable devices and wireless systems, energy harvesting has become an attractive approach to overcome the problems correlated with battery life and power source and TEG (Thermoelectric Generator) is the most commonly used among different types of energy scavengers. The input of the system will be coming from a TEG with a minimum input voltage of 100mV and will have an output of 1V (unregulated). The architecture for boosting such extremely low voltages is based on a modified Dickson charge pump using ring oscillator as clock signals. The ring oscillator is designed to operate in the subthreshold region employing a forward body bias design technique.","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122783802","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":"Vertically beamforming end-fired array antenna","authors":"I. Oh, M. Kang, K. S. Kim, C. Choi, H. Y. Kim","doi":"10.1109/TENSYMP52854.2021.9550855","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550855","url":null,"abstract":"While receiving signals well with high-gain antennas is also important in high-speed automotive environments, vertical beamforming as well as horizontal beamforming is also important in many interference signal environments. In particular, the endfire array antenna is capable of beamforming only in the horizontal direction, so it should be able to operate while avoiding interference in the up and down directions. This paper proposes an antenna structure to enable beamforming in the vertical direction in an endfire 2-array antenna. As a result of the design, vertical beamforming operates between 180 and 80 degrees and supports vertical beamforming that tilts in 12.5 degrees. The results obtained compared to a single antenna reduced the vertical HPBW(Half Power Beam Width) from 226 degrees to 118 degrees, and the gain rose from 4.55 dBi to 7.79 dBi. It shows us that additional gain has been obtained, as well as results that can avoid interference.","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125093950","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":"Device Temperature Reduction Methodology with a New Layout Drawing Technique for Ultra-thin FET","authors":"Minhyun Jin, S. Kim, Minkyu Song","doi":"10.1109/TENSYMP52854.2021.9550978","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550978","url":null,"abstract":"Conventionally, conductive material stacks composed of many metals and holes on silicon devices have kept excellent thermal paths which reduces junction temperature. However, according to the development of CMOS process technology, parasitic capacitance are also rapidly increasing and the thermal paths are also degrading. Thus, many ultra-thin FETs (Field Effect Transistor) are recently suffering from high temperature device problems. In this paper, device temperature reduction methodology with a new layout drawing technique is proposed for ultra-thin CMOS FETs. To verify the proposed new layout drawing technique, the secondary effects of various thermal paths with different metal stacks on junction temperature are analyzed, in terms of power consumption, oscillation frequency of ring oscillators, and etc. From the measured results of the oscillators, it is shown that the best heat-path design has about a 20%-lower change in junction temperature and a 1.5% higher oscillation frequency, compared to the conventional layouts. Furthermore, it is also shown that the proposed layout technique should be more effective with the ultra-thin FETs process rather than with the planar CMOS process.","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125195757","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}
Mohammad Jahangir Alam, Dhiman Sarma, R. Chakma, Md. Mynoddin, Shusmoy Chowdhury, Jia Raihan, Sohrab Hossain
{"title":"A Smart Security Solution to Prevent any Mischief with the Vehicles","authors":"Mohammad Jahangir Alam, Dhiman Sarma, R. Chakma, Md. Mynoddin, Shusmoy Chowdhury, Jia Raihan, Sohrab Hossain","doi":"10.1109/TENSYMP52854.2021.9550811","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550811","url":null,"abstract":"The security issue has become one of the alarming problems in society. Many researchers are working relentlessly to make solutions which can solve the various security problem of the community. Vehicles are ubiquitous in everyone's life. Nowadays, stealing vehicles is one of the ordinary incidents in everyday life. So we need elements which can ensure the safety of the vehicles. In our research, we worked to make a complete model using an Arduino, GSM & GPS to solve the security problem of the vehicles. The vehicle owner can control the vehicle's engine by sending a command through the SMS system. If the owner can realize that he/she is not started the vehicle, then the owner can be sent back the SMS to stop the vehicle and check the vehicle's location, and the device provides the latitude-longitude value of the vehicle.","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114767430","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":"Supervised-Learning for Symbol Detection in Time Varying Channels","authors":"Daeun Kim, N. Lee","doi":"10.1109/TENSYMP52854.2021.9550890","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550890","url":null,"abstract":"This paper presents a learning-based symbol detection method for time-varying inter-symbol-interference channels. Under the time-varying channel environment, accurate detection of the data symbols is challenging because of incomplete knowledge of instantaneous channel state information at the receiver. Inspired by an existing data-driven joint channel estimation and symbol detection method, our detection method is to adaptively learn the channel variation using a set of previously detected symbols as new training samples for the channel estimation. Using simulations, we show that the proposed online learning based symbol detection method outperforms the existing learning based symbol detection methods under moderate mobility scenarios.","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130795671","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":"Time synchronization method between CAN-FD nodes","authors":"Y. Do, Min Ho Kim, J. Jeon","doi":"10.1109/TENSYMP52854.2021.9550932","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550932","url":null,"abstract":"Recently, advanced driver assistance systems (ADAS) have gained prominence in the vehicle industry, with respect to the importance of the stability and reliability of vehicular control technology or communication technology. In such situations, when data is transmitted, communication delays between different networks occur inevitably, and if the electronic control units (ECU) of each sensor are not time-synchronized, they result in control process issues of the ADAS. In this paper, we propose a time synchronization method of each node of the CAN-FD network by applying the end-to-end (E2E) mechanism of applying the precision time protocol (PTP).","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125701395","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":"Semiconducting Indium Oxide Sensor for Oxygen Detection","authors":"W. P. Sari, S. Agbroko, J. Covington","doi":"10.1109/TENSYMP52854.2021.9550813","DOIUrl":"https://doi.org/10.1109/TENSYMP52854.2021.9550813","url":null,"abstract":"Industrialization produces detrimental effects for the environment, one of which is polluting the air that we breath in. To monitor the quality of air, we proposed the fabrication of semiconducting metal oxide based gas sensor. Indium oxide materials were investigated for oxygen sensing in dry environment. The sensing materials were deposited onto alumina sensor substrates in 2 steps which is spin coating of the sensing material followed by a photolithographic process to define the sensing area. The sensors were tested in temperature ranging from 200-250°C and showed a good response to oxygen with the highest performance observed at 300°C (Rg/Ra = 5.5). In this work, we evaluated the effect of annealing temperature and operating performance on sensors performance.","PeriodicalId":137485,"journal":{"name":"2021 IEEE Region 10 Symposium (TENSYMP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127678552","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}