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

Conference Secretariat Contact 会议秘书处联系方式

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870966

引用次数: 0

Dual-Band Funny-Face Wi-Fi Energy Harvester for Indoor Battery-less Wireless Sensor 用于室内无电池无线传感器的双频滑稽脸Wi-Fi能量采集器

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870950

M. Le, V. Ngo, Phu Tuan Duong, Van Tuan Tran, Quoc-Cuong Nguyen

引用次数: 1

A Bio-Inspired Territorial Predator Scent Marking Algorithm in Software-Defined Data Center 软件定义数据中心中基于生物的领地捕食者气味标记算法

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870932

Sura Hacham, N. M. Din, Nagaletchumi Balasubramanian

引用次数: 0

Machine Learning Techniques for Intrusion Detection in Smart Healthcare Systems: A Comparative Analysis 智能医疗系统中入侵检测的机器学习技术:比较分析

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870973

A. Basharat, M. M. Mohamad, Attiya Khan

引用次数: 3

Raining Weather Condition Observation for FOD Detection Radar on Airport Environment 机场环境FOD探测雷达的降雨天气条件观测

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870971

Ahmad Zulhelmi Ab Hamid, N. A. Yusri, Sevia Mahdaliza Idrus Sutan Nameh, N. Mohamed, S. Ambran, Muhammad Al-Farabi Iqbal, Yosuke Sato, N. Shibagaki, K. Kashima

引用次数: 0

A Review on Cyber Resilience Model in Small and Medium Enterprises 中小企业网络弹性模型研究综述

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870952

E. Cahyono, S. Sam, N. Hassan, Norliza Mohamed, N. Ahmad, Y. Yusuf

{"title":"A Review on Cyber Resilience Model in Small and Medium Enterprises","authors":"E. Cahyono, S. Sam, N. Hassan, Norliza Mohamed, N. Ahmad, Y. Yusuf","doi":"10.1109/ICSSA54161.2022.9870952","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870952","url":null,"abstract":"Cyberspace is essential for e-business, including small and medium enterprises (SMEs). In reality, SMEs have limited resources for cybersecurity. Furthermore, dealing with the fourth industrial revolution and the post-COVID-19 era, the challenges are not limited to cybersecurity only but also cyber resilience. Over 200 cyber resilience assessment frameworks have been proposed. Thus, SMEs need help to operate cyber resilience as a simple. This paper reviews the technical architectures behind the cyber resilience (CR) to detect processes and monitor assets continuously from incidents in the modeling level. The technical architectures of the CR model are built on five layers. The five layers are services, data, generative models, data analysis, and resilience scale. Machine learning and data mining based a probabilistic model approach works to solve the problem of the CR model. The approach is taken to ensure that the probabilistic model is adaptive in the face of uncertainty. The CR model helps to explain the technical architecture of each layer to realize the probabilistic model in practice.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"77 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":"129874002","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

Image Detection and Classification of Oil Palm Fruit Bunches 油棕果串的图像检测与分类

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870945

Siti Nur Aisyah Binti Mohd Robi, M. Izhar, M. Sahrim, N. Ahmad

{"title":"Image Detection and Classification of Oil Palm Fruit Bunches","authors":"Siti Nur Aisyah Binti Mohd Robi, M. Izhar, M. Sahrim, N. Ahmad","doi":"10.1109/ICSSA54161.2022.9870945","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870945","url":null,"abstract":"Many computer vision approaches, such as deep learning and machine learning, can be employed in agriculture in this era of artificial intelligence (AI). These computer vision techniques are frequently utilized in product categorization, identification, and estimation. Implementing computer vision in agriculture will boost agricultural output and quality by assisting farmers in monitoring agricultural activities. Currently, the oil palm harvester judges oil palm maturity manually using natural signs like oil palm colour appearance and the number of oil palm loose fruit drops under the tree. This paper focuses on developing automated detection systems using a deep learning model to detect and classify oil palm fruit bunch based on their ripeness level. The ripeness of oil palm can be classified into four maturity levels: unripe, under ripe, ripe, and over ripe. There are two approaches in this paper namely detection of oil palm fruit bunches and classification of oil palm fruit bunches. This paper employes several types of YOLO algorithms such as YOLOv3, YOLOv3-tiny, YOLOv4, and YOLOv4-tiny to compare the performance and accuracy of different versions of YOLO. It is shown that YOLOv4 has a higher accuracy of 98.70% in detecting and classifying oil fruit bunches based on their ripeness level compared to YOLOv3, YOLOv3-tiny, and YOLOv4-tiny.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"7 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":"128039925","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

Effect of body postures on gripping force classification using a multimodal system of Electromyography and Handgrip strength measurement 用多模态肌电图和握力测量系统研究身体姿势对握力分类的影响

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870956

M. Mahadi, N. Bani, N. Nazmi, S. Usman, Sharifah Alwiah Syed Abd Rahman, N. Noor

{"title":"Effect of body postures on gripping force classification using a multimodal system of Electromyography and Handgrip strength measurement","authors":"M. Mahadi, N. Bani, N. Nazmi, S. Usman, Sharifah Alwiah Syed Abd Rahman, N. Noor","doi":"10.1109/ICSSA54161.2022.9870956","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870956","url":null,"abstract":"Musculoskeletal disorders are injuries due to fatigue and weakness in muscle strength from activities that involve prolonged static posture such as sitting and standing postures. Handgrip strength measurement is a popular method that has been used in rehabilitation for the recovery of muscle strength of the upper limb. There are also previous studies that utilized electromyography for hand function assessment. Several studies have been conducted to investigate the relationship between static posture and handgrip strength, however, only a few electromyography studies examined the effects of sitting and standing on the muscle activities during hand gripping movement. The research aims to compare electromyography signals during sitting and standing postures while performing handgrip activity and to identify the postures that have a higher risk of musculoskeletal injuries. The comparison between handgrip strength and electromyography signals showed that both methods can detect the effect of posture on handgrip activity, even if the feedback values are small. The results show that the grip strength value during the sitting position is significantly higher than the grip strength value during standing. Meanwhile, the feature extraction namely, root mean square produces values of electromyography related to the posture and force. The result showed that the electromyography amplitude is higher for sitting posture than for standing position which is different from handgrip measurement. This is due to the muscular load in the sitting posture being higher than the standing posture. In conclusion, the sitting and standing postures have a significant effect on both handgrip strength and electromyography measurements when performing upper limb studies.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"125 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":"130180019","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

Development of Predictive Maintenance System for Haemodialysis Reverse Osmosis Water Purification System 血液透析反渗透净水系统预测性维护系统的开发

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870965

N. Bani, Muhammad Khair Noordin, Achmad Alfian Hidayat, Ahmad Safwan Ahmad Kamil, M. Amran, N. F. Kasri, M. N. Muhtazaruddin, F. Muhammad-Sukki

{"title":"Development of Predictive Maintenance System for Haemodialysis Reverse Osmosis Water Purification System","authors":"N. Bani, Muhammad Khair Noordin, Achmad Alfian Hidayat, Ahmad Safwan Ahmad Kamil, M. Amran, N. F. Kasri, M. N. Muhtazaruddin, F. Muhammad-Sukki","doi":"10.1109/ICSSA54161.2022.9870965","DOIUrl":"https://doi.org/10.1109/ICSSA54161.2022.9870965","url":null,"abstract":"Predictive maintenance utilizes a variety of data analytics and statistical techniques to predict possible device or equipment failures and provide suggestions on maintenance strategy according to the results of predictive analytics. This paper presents the development of an IoT-based predictive maintenance system for the Haemodialysis Reverse Osmosis (RO) Water Purification System on three main categories; the mini prototype of the RO system, the hardware and electronics circuit of the RO system and the machine learning programming and dashboard monitoring of the RO system. The mini prototype of the RO system utilizes three types of sensors which are pressure sensors, conductivity sensors and flow sensors. Using the ESP8266 Arduino module, the system has successfully captured the sensors’ signals and transmit the data to the cloud storage. The developed web application interface has managed to view the data from the sensors of the working prototype and display them in a graphical form to be used as input for further analysis. The trained LSTM model used is working perfectly as it managed to detect anomalies in sensors’ readings and predict the breakdown of the plant.","PeriodicalId":272452,"journal":{"name":"2022 4th International Conference on Smart Sensors and Application (ICSSA)","volume":"40 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":"129758378","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

Multiwavelength SOA Fiber Laser based on Sagnac Loop Mirror Interferometer and Lyot Filter 基于Sagnac环镜干涉仪和Lyot滤波器的多波长SOA光纤激光器

2022 4th International Conference on Smart Sensors and Application (ICSSA) Pub Date : 2022-07-26 DOI: 10.1109/ICSSA54161.2022.9870978

A. Sulaiman, Abdisamad Ali Aden, A. Ismail, N. M. Yusoff, F. Abdullah, M. Z. Jamaludin

引用次数: 2