2022 4th International Conference on Smart Sensors and Application (ICSSA)最新文献

{"title":"Performance Evaluation of DLT systems based on Hyper ledger Fabric","authors":"Mohammed Shuaib, N. H. Hassan, S. Usman, Shadab Alam, N. A. A. Bakar, N. Maarop","doi":"10.1109/ICSSA54161.2022.9870957","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870957","url":null,"abstract":"Blockchain applications are increasing steadily in real-world applications, and in recent times, there has been a notable increase for permissioned blockchain applications. Hyperledger Fabric (HLF) is one of the Linux Foundation’s permissioned blockchains. Many researchers developed blockchain-based systems on HLF, but the main concern for such systems is performance analysis. The performance analysis of the HLF based systems is essential for accessing their applicability and usefulness. In this paper, we conducted an overview of the various parameter taken into account while implementing the blockchain system on HLF, followed by the study of various metrics taken by the various researchers to analyze the performance of the blockchain system developed on HLF. Caliper has been identified as a prominent performance analysis tool for evaluating the performance of blockchain implementations. Finally, we analyze the performance of the blockchain system in terms of Transaction throughput, latency, success rate and resource consumption using the hyperledger caliper benchmarking tool.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130255887","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":"Fabrication and Characterisations of Recessed Microdisc Electrode Array for Immunosensor Detection of T-2/HT-2 Mycotoxin","authors":"N. A. M. Said, Grégoire Herzog, K. Twomey, V. Ogurtsov","doi":"10.1109/ICSSA54161.2022.9870975","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870975","url":null,"abstract":"Herein we report the fabrication of gold microelectrode array of $10 mu mathrm{m}$ and $1 mu mathrm{m}$ disc dimension with three different silicon nitride thicknesses (200, 300 and 500 nm). The fabricated microelectrodes were characterised optically and electrochemically. Theoretical limiting currents of the microelectrode array were compared with the experimental currents to determine the diffusion profile of the disc array. The $10 mu mathrm{m}$ microdisc array exhibited the most consistent electrochemical currents; while the $1 mu mathrm{m}$ microdisc array is susceptible to ageing hence not suitable for further application. Surface functionalisation via silanisation for antibody immobilisation was then performed on the $10 mu mathrm{m}$ microdisc array for impedimetric detection of biotoxin substance (T-2/HT2 mycotoxin) using a label-free biosensor approach. When developing a calibration curve for the toxin, larger surface area is a critical factor in establishing a good standard curve. By employing a $40 mu mathrm{m}$ microdisc electrode array, the calibration curve within working range of 0 to 250 parts per billion toxin has been successfully established. The toxin biosensing can detect T-2/HT-2 toxin as low as 25 parts per billion and limit of quantitation (LOQ) calculated at 1.53 parts per billion.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130876514","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":"Livestock Posture Recognition Using Deep Learning","authors":"Tan Su Tung, U. Khairuddin, M. I. Shapiai, Norhariani Md Nor, M. Hiew, Nurul Aisyah Mohd Suhaimie","doi":"10.1109/ICSSA54161.2022.9870946","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870946","url":null,"abstract":"Calf posture recognition could be one of the required steps for a complete automated calf monitoring system, as sometimes the calf is required to be in a standing posture before being able to proceed to the next stage. To distinguish calf postures such as between standing or lying, machines require complicated frameworks, especially one that involves deep learning models. Previously, most of the works utilized video inputs rather than image inputs, which would make the model unnecessarily complicated compared to a conventional Convolutional Neural Network (CNN) model, which accepts image inputs. In this paper, to overcome all the problems mentioned earlier, two deep learning models with the exact same ResNet-50 based architecture have been built and trained on two different image datasets, respectively sourced from separate cameras placed at different angles to be compared and analyzed. The performance for both CNN models were 99.7% and 99.99% in accuracy, respectively, significantly better than the 92.61% accuracy of a similar work, and is adequate for a real-time calf monitoring system.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131104856","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":"Smart Irrigation System for Domestic Homes","authors":"Isuri Rajapaksha, T. Gamage, Isuru Eranga, A.W.T. Dharmasena, K. Gamage","doi":"10.1109/ICSSA54161.2022.9870960","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870960","url":null,"abstract":"This research presents the designing of a smart irrigation system to automatically supply water and fertilizer to different plants depending on each plant ’s individual requirement and the integration of this smart irrigation system to a domestic home. The microcontroller was programmed to operate under two modes. Fully automated and semi-automated. These two modes give all the monitoring information to the user in real-time, while fully automated mode provides water and fertilizer to the plants calculating optimum conditions with minimum human interaction. Microcontroller was programmed to (1) analyze and process the received input data from soil moisture sensors, humidity and temperature sensors, (2) check the activated mode and other user settings, and (3) control the valves to water or fertilize the plants accordingly. Microcontroller and the IoT device maintain communication to receive or send data to the user through internet. A web interface was developed to display sensor data and with a control interface for the user. The user can connect to the system through Wi-Fi to access the web interface. By using the controls, soil moisture, temperature and humidity thresholds can be changed, and watering or fertilization systems can be activated. For data analysis and flowrate simulations, ‘SolidWorks’ was used. Using the same software, the enclosures and other hardware components needed to store the microcontroller, the Wi-Fi module, the power supply, and connector array of sensors were designed, 3D printed, and the complete system was assembled and tested.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"292 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134398508","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":"Real-time Threshold-Based Fall Detection System Using Wearable IoT","authors":"Nur Izdihar Muhd Amir, R. Dziyauddin, N. Mohamed, N. N. Ismail, Nor Saradatul Akmar Zulkifli, N. M. Din","doi":"10.1109/ICSSA54161.2022.9870974","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870974","url":null,"abstract":"This paper presents a Real-Time Fall Detection System (FDS) in the form of a wearable device integrating an ADXL335 accelerometer as a fall detection sensor, and classify the falling condition based on the threshold method. This system detects the wearer's movements and analyses the result in binary output conditions of ‘Fall’ for any fall occurrence or ‘Normal’ for other activities. The transmitter or FDS-Tx which is attached to the user’s garment will constantly transmit data reading to the receiver or FDS-Rx via XBee module for data analysis. Raspberry Pi as the processor in FDS-Rx provides computational resources for immediate output analysis, by using threshold method, the computed results are sent to the cloud utilizing the Wi-Fi to display the user’s condition on the authority’s dashboard for further action. The working conditions of the systems are validated through an experiment of 10 volunteers whose perform several activities including fall events. Based on the threshold proposed, the results showed 97% sensitivity, 69% specificity and 83% accuracy from the experiment. Thus, this system fulfilled the real-time working condition integrating (IoT) as accordingly.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"80 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114110456","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":"Meta-Analysis and Systematic Review: A Strategy and Dimension to Achieve of Smart Village Concept","authors":"Muhammad Ilham Alhari, W. Febriyani, Asti Amalia Nur Fajrillah","doi":"10.1109/ICSSA54161.2022.9870963","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870963","url":null,"abstract":"Smart villages are hacks used to overcome the fundamental problems in rural areas. Currently, there are several studies discussing the successful implementation of this smart village. It is claimed that there is no discussion of the basic concepts or supporting theories, so we need the formula to support this. Therefore, this study focuses on conceptual models to identify smart villages' strengths, weaknesses, and improvements. This study uses a systematic meta-analysis (PRISMA) method based on 50 articles to build two main scope models of smart villages: strategies and dimensions. Each scope also has its sub-scope. Size the item consists of seven priority areas: governance, energy, economy, ICT, people, environment, tourism. This result enriches the theoretical study of smart villages.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117233137","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":"Copyright and Reprint Permission","authors":"","doi":"10.1109/iccworkshops53468.2022.9814682","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814682","url":null,"abstract":"","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125942916","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":"Conference Programme","authors":"March Friday, March, Mary Oliver, Thomas Waitz, Martin Musumeci, Masao Mori, Lea Mustonen, Susan Heikkilä","doi":"10.1109/ICSSA54161.2022.9870942","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870942","url":null,"abstract":"Conference programme Time GMT 0800–0830 h Guided meditation 0830–0840 h Break 0840–0900 h Introduction: Welcome housekeeping by Co-Chairs Mr Michael Atkinson and Dr Vidarshi Karunaratne 0900–0945 h Professor Craig Hassed, Monash University (Australia): “Preaching to the unconverted: the art of introducing mindfulness into medical education.” 0945–1000 h Break 1000–1045 h Professor Craig Hassed (Workshop): “Introducing mindfulness into medical education.” 1045–1100 h Guided meditation/break 1100–1200 h Professor Neil Greenberg, Kings College London (UK): “Mental health, moral injury and healthcare staff.” 1200–1230 h Lunch 1230–1240 h Guided meditation 1240–1325 h Abstracts session: 1240–1255 h Dr Nithya Kadiyala, Addenbrooke’s Hospital, and Dr Charlotte Muehlschlegel, North Middlesex University Hospital (UK): “Mindfulness in medicine: a multi-centre study to investigate the impact of mindfulness on burnout risk, mental well-being and compassion.” 1255–1310 h Miss Alexandra Cardoso Pinto and Miss Justyna Gromala, Imperial College London (UK): “Wellbeing during the COVID-19 pandemic: training patients and primary care staff in mindfulness practice.” 1310–1325 h Dr Charlotte Muehlschlegel, North Middlesex University Hospital, and Dr Nithya Kadiyala, Addenbrooke’s Hospital (UK): “Mindfulness in medicine: an approach to stress reduction in an environment prone to burnout.” 1325–1330 h Break 1330–1445 h Professor Ron Epstein, University of Rochester School of Medicine and Dentistry (USA): “Mechanics and gardeners: the role of mindfulness in medical education.” 1445–1500 h Break/guided meditation 1500–1545 h Abstracts session 1500–1515 h Dr Christopher Sanders, University of Leicester (UK): “Aligning mindfulness across the medical curriculum.” 1515–1530 h Ms Ilona Kaisti, University of Oulu (Finland): “The effects of mindfulness-based interventions in medical students – a systematic review.” 1530–1545 h Dr Kevin Chun Hin Tang, Sheffield Teaching Hospitals (UK): “Improving transitions – simulating on-call scenarios for FY1 Doctors starting in the community or in paediatric rotations.” 1545–1600 h Break 1600–1615 h ASME-MiME Research Award Winner’s Presentation Mr George Richardson and Mr Conor Gillespie, University of Liverpool (UK): “Social and psychological impact of the Covid-19 pandemic on UK medical students: a national survey re-evaluation of SPICE-19 (SPICE-20).” 1615–1645 h Abstract Award Winner Announced Discussion Closing statements 1645–1650 h Brief silent sit DOI: 10.1111/tct.13493 © 2022 John Wiley & Sons Ltd and The Association for the Study of Medical Education. Clin Teach. 2022;19(S1):5. wileyonlinelibrary.com/journal/tct 5","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122102974","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":"Keynote Speakers","authors":"Mónica Moura","doi":"10.1109/icc42927.2021.9500712","DOIUrl":"https://doi.org/10.1109/icc42927.2021.9500712","url":null,"abstract":"","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127917921","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}