{"title":"Full Hardware Implementation of FreeRTOS-Based Real-Time Systems","authors":"Wakako Nakano, Yukino Shinohara, N. Ishiura","doi":"10.1109/TENCON54134.2021.9707328","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707328","url":null,"abstract":"As higher and higher functionalities are being im-plemented in embedded systems, it is becoming difficult to ensure their real-time performance. As one approach to enhancing response performance of RTOS-based systems, Oosako proposed a method for implementing both kernel objects and RTOS functionalities as hardware utilizing high-level synthesis, where TOP-PERS/ASP3 was assumed as an RTOS. This paper extends this method to deal with systems based on FreeRTOS. In FreeRTOS, tasks can be generated either statically or dynamically, whose control data are managed in linked lists. We place restrictions that all the tasks are generated before scheduler starts so that we can keep the task control data in an array. Software timers are dealt with as tasks that have their own timers. We also present methods to implement dispatch disabling for mutual exclusion and a data queue for asynchronous data communication. We have implemented a hardware module from a reduced version of a demo program main_full.c and TimerDemo.c bundled with FreeRTOS, which took less than 300 ns and 700 ns for task control and data queue operations, respectively.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123325238","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}
Balambal Suryanarayanan, Radha Bai Prabhakar, Tejaswini Venkadesh, P. Kaythry
{"title":"Letting Villages Go Smart in Indian Scenario","authors":"Balambal Suryanarayanan, Radha Bai Prabhakar, Tejaswini Venkadesh, P. Kaythry","doi":"10.1109/TENCON54134.2021.9707268","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707268","url":null,"abstract":"Developing country like India is facing many challenges in improving the quality of life of the people. The increasing population, particularly in cities results in economical imbalance. Also, urbanization is the main cause of climate change and related ill effects. We can mitigate these issues by focusing more on the development of the villages. Most of the issues will be solved if the villages are self-sustained in terms of the standard of living, access to resources like health care, technology, electricity, water, agriculture etc. The concept of smart villages can improve the quality of life of the villagers and in turn will create positive impact on the nation's growth. In this paper, we proposed a smart village model for the group of villages in Bargur firca of Tamilnadu, India. Based on the detailed study of the demographical conditions of the eighteen villages and their standard of living, we suggested solutions to their problems for different domains needing attention.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"64 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123020797","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}
Deeksha Devendra, Shubham Mante, D. Niteesh, A. Hussain
{"title":"Electric Vehicle Charging Station using Open Charge Point Protocol (OCPP) and oneM2M Platform for Enhanced Functionality","authors":"Deeksha Devendra, Shubham Mante, D. Niteesh, A. Hussain","doi":"10.1109/TENCON54134.2021.9707311","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707311","url":null,"abstract":"A smart city is a collection of a variety of smart devices representing several disparate infrastructural verticals. The data gathered by these smart devices helps bring a strong integration of human, collective, and artificial intelligence within the city operation. With the advent and proliferation of electric vehicles (EVs), the EV charge point is a relatively new addition to this plethora of smart devices. We believe that the EV charge point can acquire enhanced functionality if it can be seamlessly integrated with the rest of the smart city infrastructure. For example, charging services can be stopped if smart grid or smart fire alarms sense an electrical overload or fire hazard in the vicinity. However, the interaction of an EV charge point with the smart city infrastructure requires seamless information exchange across various verticals. This horizontal flow of information is enabled by making the charge point complaint with the oneM2M platform. To this end, we present the design and fabrication of an EV charge point based on the OCPP communication standard and complaint with the oneM2M platform. Further, we discuss various use cases showing an increased functional capability of the EV charger due to access to data from other IoT devices.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121938977","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}
Fraser MacConnell, Rohit Duggal, R. Rayudu, N. Nair
{"title":"Mātauranga Māori in Power Engineering - Achieving sustainability and zero carbon futures with countries' indigenous knowledge in design","authors":"Fraser MacConnell, Rohit Duggal, R. Rayudu, N. Nair","doi":"10.1109/TENCON54134.2021.9707384","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707384","url":null,"abstract":"Matauranga Māori is the knowledge of Māori in New Zealand. It can influence engineering by providing an alternative viewpoint and value system for consideration during initial planning and design such that projects are in line with the local sustainability goals. The goal of this research is to investigate and current and past works on Mātauranga Māori and how it can influence / interface with power engineering project design towards a carbon neutral and sustainable future. Currently there is no clear guidelines and interface, making conflict resolution between power companies and iwi challenging if a situation arises. If Māori ideas of spirituality and environmentalism can be quantified, communication between engineers / academics and iwi can be refined thereby making the design process more environmentally sustainable.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125555867","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":"Utilization of K-means Clustering and Color Homography for Automatic Color Calibration in Image Processing","authors":"Julianne Alyson I. Diaz, E. Sybingco, A. Bandala","doi":"10.1109/TENCON54134.2021.9707307","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707307","url":null,"abstract":"Often camera calibration in terms of lighting has become a challenge in machine learning. Large training datasets are usually required due to various light conditions that affect the colors on the images, making objects difficult to recognize. This paper proposes the utilization of K-means clustering to extract colors on the images to be used in combination of color Homography to correct colors in low light images automatically. This method aims to solve tedious camera calibration in terms of color and reduce the number of datasets.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125048688","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}
Rogelio Ruzcko Tobias, R. Roxas, Mideth B. Abisado
{"title":"Science Mapping of Social Media Analytics in Health Through Artificial Intelligence","authors":"Rogelio Ruzcko Tobias, R. Roxas, Mideth B. Abisado","doi":"10.1109/TENCON54134.2021.9707362","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707362","url":null,"abstract":"This paper presents a systematic literature review and bibliometric analyses of Scopus-indexed documents in social media analytics in health during the CoVid-19 pandemic that used artificial intelligence methodologies. From the 179 extracted Scopus-indexed publications in August 2021, 128 were left after removing 51 documents using the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) procedure. Analyses and visualizations using VOSviewer reveal research productivity, affiliation and collaboration networks, and the corresponding relationship between research productivity and the research networks. Conclusions and recommendations for future work are presented to further nurture the current research environment of social media analytics through artificial intelligence methodologies.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131202469","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":"Resilience based Criticality Analysis for Seismic Performance Assessment of Underground Cables","authors":"E. Rehman, N. Nair","doi":"10.1109/TENCON54134.2021.9707349","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707349","url":null,"abstract":"The concept of resilience in power systems has gained focused attention due to increasing outages, including large-scale blackouts, attributed directly or indirectly due to extreme weather and natural geo-physical triggered events. The resilience of electricity infrastructure ground assets and power system equipment can be improved by strengthening the foundations or re-engineering the vulnerable impact spots of equipment. However, understanding the criticality and thereby assessing resilience of underground cables is challenging due to the underground dynamics and the infrastructure spanning across a large geographical area. The cables go through different terrains and depths and the effects of earthquakes vary on these cables depending upon the magnitude. To address this problem, this piece of research explores the potential use of geospatial information software's to map underground cables to study the performance of underground cables by evaluating the repair rates and developing fragility curves for underground cables damaged based on utility data during an earthquake event. Based on the observed case-study, a resilience-based criticality framework is proposed for underground cables. This helps provide actionable and accepted metrics, particularly for short term and long-term resilience of underground cables in a distribution network.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128721045","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":"Circuit Protection Techniques for Supercapacitor-Assisted Low-Dropout (SCALDO) Regulator","authors":"Kasun Subasinghage, K. Gunawardane, N. Kularatna","doi":"10.1109/TENCON54134.2021.9707309","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707309","url":null,"abstract":"Supercapacitor-assisted low-dropout (SCALDO) regulator technique is gradually developing as a novel design approach for high-efficiency, low-frequency DC-DC converters. This technique increases the end-to-end efficiency while maintaining the useful benefits of a linear regulator such as the low output noise, fast dynamic response, and less electromagnetic interference (EMI) and radio-frequency interference (RFI) issues. It is essential in SCALDO regulators to have primary circuit protection measures to safeguard the converter and the output load during external conditions such as overcurrent, overvoltage and undervoltage. This paper provides an insight into applicable circuit protection techniques so that SCALDO regulator designers can integrate them to make a robust design. The proposed protection techniques are tested on a 12–5 V discrete component-based SCALDO regulator developed in MATLAB SIMULINK simulation.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128893067","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":"Decision Level Fusion for Diagnosing Autism Spectrum Disorder","authors":"Devika Kuttala, V. R. M. Oruganti","doi":"10.1109/TENCON54134.2021.9707343","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707343","url":null,"abstract":"Automated diagnosis of Autism Spectrum Disorder(ASD) by integrating Machine Learning (ML) techniques is rapidly growing in the field of neuroscience. In this study, we proposed an unsupervised approach for diagnosing ASD with Deep Learning (DL) models such as UNet, GAN, and SAGAN. The axial and coronal slices of T1-weighted longitudinal Structural Magnetic Resonance Imaging (sMRI) from multisite ABIDE II are used for the study. At first, the DL models are trained only with Typical Development (TD) subjects to reconstruct multiple slices, and then we used both ASD and TD subjects for testing. outliers are detected using a combination of L2 loss and cosine similarity loss. Finally, individual classification results from axial and coronal slices are fused at the decision level using maximum probability yielding classification accuracy of 95.65% and an AUC score of 0.90.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125277181","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}
Shreesha Surathkal, M. ManoharaPaiM., Ujjwal Verma, R. Pai, S. Girisha
{"title":"Behavioural Pattern Analysis of Fishes for Smart Aquaculture: An Object Centric Approach","authors":"Shreesha Surathkal, M. ManoharaPaiM., Ujjwal Verma, R. Pai, S. Girisha","doi":"10.1109/TENCON54134.2021.9707293","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707293","url":null,"abstract":"Fish farmers are looking for sustainable methods of fishing to meet the ever-increasing demand for quality aquatic products. However, the water quality parameters, such as temperature, Dissolved Oxygen (DO) and pH plays a significant role in the success of aquaculture. The Dissolved oxygen concentration in the fish farms has a greater influence on the outcome of the aquaculture. DO can vary drastically depending upon many external factors, such as feeding, stocking density, diseases etc. Sudden depletion in DO can result in mass mortality of fishes if the preventive actions are not prompt. To this end, computer vision-based behaviour detection plays a significant role. The present study proposes to develop a novel computer vision-based approach to detect swimming at the surface pattern. An experiment is a setup to capture and develop the dataset of fish movement patterns. The proposed method uses detections alone to identify the swimming at the surface pattern. These detections are clustered and the mean of the clusters are compared against the threshold for classifying the pattern as Swimming at the surface pattern. The threshold is identified using the position histogram from the dataset. The proposed method is efficient, lightweight and reliable making it suitable for deployment in smart systems. The proposed method is also compared with pattern detection using a tracking algorithm. The results highlight the reliability of the proposed method to detect the patterns in aquaculture.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127890263","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}