2022 4th International Conference on Smart Sensors and Application (ICSSA)最新文献_第3页

Depth Estimation from Video using Computer Vision and Machine Learning with Hyperparameter Optimization 基于计算机视觉和超参数优化的机器学习的视频深度估计

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870961

Fahim Faisal, Md. Abdus Salam, Mufti Bin Habib, Md. Shariful Islam, M. M. Nishat

{"title":"Depth Estimation from Video using Computer Vision and Machine Learning with Hyperparameter Optimization","authors":"Fahim Faisal, Md. Abdus Salam, Mufti Bin Habib, Md. Shariful Islam, M. M. Nishat","doi":"10.1109/ICSSA54161.2022.9870961","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870961","url":null,"abstract":"This research work focuses on a widespread interpretation for the operation of depth estimation using machine learning (ML) algorithms and computer vision. Depth estimation, also known as abstraction, refers to the processes and systems used to describe the geometric features of a situation. Computer vision is a branch of artificial intelligence that teaches advanced analytics and comprehends images. Based on the principle of disparity an algorithm was presented for the application of computer vision through which moving objects and human was detected using calibrated stereo camera. A correlation technique was used to identify the disparity as well as to detect, extract and match features of any given inputs. The experiment was performed on MATLAB environment by dint of a function of computer vision. Using this algorithm, detection and identification of a moving object was done and the depth of it was measured. The disparity map and reconstruction of the 3D image was presented as well as the distance of each person from the camera was calculated. Afterwards, a 3D mapping of that moving object was created using reconstruction. Moreover, monocular 3-D reconstruction was performed to provide nearly accurate measurement.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"294 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":"115286766","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}

引用次数: 9

Implementation of an IoT Cloud-based Elderly Care Health Monitoring Dashboard 基于物联网云的老年护理健康监测仪表板的实施

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870939

A. Azizan, N. M. Din, Dzahir Rashidi Mohd Dzaki, Ahmad Dziaul Islam Abdul Kadir, N. Shafie

{"title":"Implementation of an IoT Cloud-based Elderly Care Health Monitoring Dashboard","authors":"A. Azizan, N. M. Din, Dzahir Rashidi Mohd Dzaki, Ahmad Dziaul Islam Abdul Kadir, N. Shafie","doi":"10.1109/ICSSA54161.2022.9870939","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870939","url":null,"abstract":"The ageing population, defined as those 65 years and above, has increased steadily over the years due to better life longevity contributed by better health services and quality of life. In Malaysia, at least 15% of the population is projected to be above 65 by 2030, hence increasing the needs for the elderly healthcare to be monitored constantly. Elderly care can be facilitated with technology such as the Internet-of-Things (IoT), where remote monitoring of an elderly’s health conditions may be realizable. This paper presents the critical design process and methods used in developing a cloud-based IoT monitoring system dashboard for elderly care. The health parameters monitored are heart rate, body temperature, and SpO2. These parameters would provide the general health condition of the elderly person monitored. In addition, an accelerometer sensor is used for fall prediction. Finally, a real-time dashboard was developed for centralized data collection, decision making and alerting. The system is scalable to cater increasing needs of adding more health tracking nodes (per registered elderly user) meanwhile enabling real time elderly healthcare cloud based monitoring and emergency alerting for Elderly Healthcare System that can be monitored by family members and healthcare practitioners.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"42 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":"128621192","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}

引用次数: 2

Performance Analysis of Passively Q-switched Fibre Laser by SWCNT-PVA Saturable Absorber swcnts - pva可饱和吸收被动调q光纤激光器性能分析

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870949

Ooi Wei Ling, A. Hamzah, Norliza Mohamed, Mahroof Mohamed Mafroos

引用次数: 0

Power Usage Modelling and Prediction Using Artificial Neural Networks 基于人工神经网络的电力使用建模与预测

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870959

Ummi Nurhidayati Ardhiah Hamilludin, H. Abdullah, N. Bani, N. Noor, S.Z.A. Jalil, S. H. Ismail

{"title":"Power Usage Modelling and Prediction Using Artificial Neural Networks","authors":"Ummi Nurhidayati Ardhiah Hamilludin, H. Abdullah, N. Bani, N. Noor, S.Z.A. Jalil, S. H. Ismail","doi":"10.1109/ICSSA54161.2022.9870959","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870959","url":null,"abstract":"In recent years, improving energy efficiency in the building sector has been a major trend globally due to its high consumption of electricity. The purpose of this study is to implement a data-driven method of Artificial Neural Networks (ANN) to predict a building’s energy consumption at one of the ministry buildings in Putrajaya. The prediction models were developed based on historical data on the electricity consumption of the building and weather forecasts including temperature, relative humidity and pressure from September 2009 to April 2017. Various configurations were tested based on the ‘trial and error’ method to improve the accuracy of the model. The forecasting model achieved 0.8237% of Mean Absolute Percentage Error (MAPE) and 99.17% of accuracy. The findings of the study will enable the management to model and predict the power usage of the facility using ANN in WEKA. The power usage prediction will help to provide input in understanding the future energy consumption behavior of the facility and will enable the management to assess potential energy efficiency improvements and behavior modification of the building towards achieving higher energy savings.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"44 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":"116819209","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}

引用次数: 0

Penetration Testing Procedure using Machine Learning 使用机器学习的渗透测试程序

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870951

Reevan Seelen Jagamogan, Saiful Adli Ismail, N. Hassan, H. Abas

引用次数: 2

Blockchain-Based Distributed File System Security and Privacy: A Systematic Mapping Study 基于区块链的分布式文件系统安全与隐私:系统映射研究

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870967

Zulwaqar Zain Mohtar, Mohd Yazid Bin Idris, Farhan Mohamed

引用次数: 0

Development of Blood Oxygen Level, Heart Rate And Temperature Monitoring System by Using ESP32 基于ESP32的血氧、心率、体温监测系统的研制

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870943

Robiah Ahmad, H. Kaidi, Muhammad Noor Nordin, A. Ramli, M. A. Abu, Yosof Kadase

{"title":"Development of Blood Oxygen Level, Heart Rate And Temperature Monitoring System by Using ESP32","authors":"Robiah Ahmad, H. Kaidi, Muhammad Noor Nordin, A. Ramli, M. A. Abu, Yosof Kadase","doi":"10.1109/ICSSA54161.2022.9870943","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870943","url":null,"abstract":"Telehealth plays an even greater role in global healthcare delivery today. Ever since the pandemic strikes the world, the use of healthcare monitoring systems has a massive boost significantly. This paper aims to develop a prototype of a health monitoring device that can be put at a patient home to replace traditional physical checkups at the hospital by using MAX30102 PPG module and Infrared temperature sensor with the objective to derive PPG signal into basic health parameters such as heart rate and oxygen saturation from the patient through MAX30102 and to test the accuracy of those parameters with hospital patient monitor. The experiment is done by comparing each parameter for 30 seconds in both devices using index fingers coming from 13 participants. From the results obtained, although heart rate suffers motion artefact compared to the oxygen saturation, each accuracy is still excellent with 89.2 and 97.6 percent. In conclusion, MAX30102 PPG and ECG module can get initial health reading through the PPG signal and solve the problems mentioned.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"29 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":"126015054","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}

引用次数: 2

ICSSA 2022 Cover Page ICSSA 2022封面

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/icssa54161.2022.9870944

引用次数: 0

Security Challenges and Solutions for Internet of Things based Smart Agriculture: A Review 基于物联网的智慧农业的安全挑战与解决方案综述

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870979

A. Basharat, M. B. Mohamad

{"title":"Security Challenges and Solutions for Internet of Things based Smart Agriculture: A Review","authors":"A. Basharat, M. B. Mohamad","doi":"10.1109/ICSSA54161.2022.9870979","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870979","url":null,"abstract":"The Internet of Things (IoT) is a massive and evolving technology that has the potential to revolutionize our world. It enables devices to connect to the internet via sensors, drones, satellites, and so on. Agriculture is critical to the economy of any country. With the world’s population growing, traditional agricultural methods are finding it hard to fulfill the world’s food needs. It is the need of the hour to incorporate IoT in agriculture to digitalize the farming methods to increase the production level. IoT-based modernization in agriculture helps the farmers to check soil moisture, humidity, water level, climate conditions, crop production, etc. IoT applications also promise to maximize the comfort level and efficiency and offer automation to the farmers. With rising cyber-attacks on IoT, smart devices need better security, confidentiality, integrity, and recovery from attacks. In this review, our main focus is on the security challenges faced by resource constraints, low storage, and low power devices. The basic security requirements for IoT devices in smart agriculture are briefly reviewed. Some state-of-the-art security technologies are explored, including machine learning, fog computing, edge computing, SDN, and Blockchains. This analysis of security concerns and security measures will give future scholars a research direction.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"123 19 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":"115626059","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}

引用次数: 3

Spatiotemporal Authentication System Architecture for Smart Campus Safety 面向智慧校园安全的时空认证系统架构

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870931

Theodoros Anagnostopoulos, Panos Kostakos, Ioannis Salmon, Yannis Psaromiligkos, K. Ntalianis, S. R. Jino Ramson

{"title":"Spatiotemporal Authentication System Architecture for Smart Campus Safety","authors":"Theodoros Anagnostopoulos, Panos Kostakos, Ioannis Salmon, Yannis Psaromiligkos, K. Ntalianis, S. R. Jino Ramson","doi":"10.1109/ICSSA54161.2022.9870931","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870931","url":null,"abstract":"A Smart Campus is a protected area within Smart Cities (Cities 2.0) where physical security of assets is vital for the continuous operation of the university. Concretely, there are specific mission-critical areas on the campus, which should be protected from unauthorized and malicious individuals. This paper describes a sustainable Smart Campus system architecture based on individuals’ spatiotemporal authentication fingerprint, generated by fusing data from mobile GPS devices and CCTV cameras infrastructure to detect malicious user behavior. The system incorporates unobtrusive monitoring to collect data from such individuals. While the system monitors for unauthorized access to restricted locations within the campus area, data are analyzed by an intrusion detection algorithm that sets off alarms and prompts physical evacuation. The efficiency of the proposed system is evaluated by gauging the prediction accuracy of alarms triggered and response time to the actual incidents on the campus. Results are promising for the adoption of the proposed system architecture by universities in Cities 2.0.","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":"125535903","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}

引用次数: 2