2022 International Conference on Future Trends in Smart Communities (ICFTSC)最新文献

Elliptic Curve Cryptography for the Security of Insecure Internet of Things 椭圆曲线加密技术在不安全物联网中的应用

2022 International Conference on Future Trends in Smart Communities (ICFTSC) Pub Date : 2022-12-01 DOI: 10.1109/ICFTSC57269.2022.10040044

N. Khan, A. Awang

引用次数: 4

Emotion Based Chatbot Using Deep Learning 基于深度学习的情感聊天机器人

2022 International Conference on Future Trends in Smart Communities (ICFTSC) Pub Date : 2022-12-01 DOI: 10.1109/ICFTSC57269.2022.10040057

N. Rosli, Alexander Chai Min Jie, Lo Woon Chze, Nelson Chai Zhen Faan, Yek Nai Liang

{"title":"Emotion Based Chatbot Using Deep Learning","authors":"N. Rosli, Alexander Chai Min Jie, Lo Woon Chze, Nelson Chai Zhen Faan, Yek Nai Liang","doi":"10.1109/ICFTSC57269.2022.10040057","DOIUrl":"https://doi.org/10.1109/ICFTSC57269.2022.10040057","url":null,"abstract":"The use of chatbots has been evolving rapidly in numerous fields in recent years which includes Education, Marketing, Health Care, Entertainment, etc. Chatbots utilise the technology of Artificial Intelligence (AI) to mimic human conversation. It is like a virtual assistant that is able to assist in conversation, answering questions, getting directions in the area of knowledge they are designed under. Chatbot can reduce customer service cost and handle multiple users at a time which makes it become more popular. But yet to accomplish a task in detecting and identifying emotion from users the chatbot interacts with. To address this issue, this paper provides a design of a chatbot, in which the chatbot is able to identify the user’s emotional status through the text provided by the users through the communication and then provide suggestions according to the input given. The emotion detection model will be trained using Artificial Neural Networks (ANN) and supervised learning. This chatbot is proposed to be used by i-CATS University College to help in the Marketing department to automate the process of answering FAQs and inquiries. However, a full chatbot implementation that replies to human queries is suggested that this research paper should shows to indicate how effective the chatbot can be. It is also suggested that strong implementation of chatbot must be considered for the improvement of this research in the future.","PeriodicalId":386462,"journal":{"name":"2022 International Conference on Future Trends in Smart Communities (ICFTSC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114980343","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

Hemodynamic Response Asymmetry of the Prefrontal Cortex During a Cognitive Load Task 认知负荷任务中前额叶皮层血流动力学反应的不对称性

2022 International Conference on Future Trends in Smart Communities (ICFTSC) Pub Date : 2022-12-01 DOI: 10.1109/ICFTSC57269.2022.10040058

M. S. Al-Quraishi, N. Saad, Christophe Guillet, F. Mérienne

{"title":"Hemodynamic Response Asymmetry of the Prefrontal Cortex During a Cognitive Load Task","authors":"M. S. Al-Quraishi, N. Saad, Christophe Guillet, F. Mérienne","doi":"10.1109/ICFTSC57269.2022.10040058","DOIUrl":"https://doi.org/10.1109/ICFTSC57269.2022.10040058","url":null,"abstract":"Investigations of the prefrontal cortex (PFC) asymmetry have been conducted in neuroscience research during cognitive load using +electroencephalography (EEG) and other neuroimaging techniques. A few studies used functional near-infrared signals (fNIRS) to analyze asymmetry during cognitive load. This study examined the hemodynamic response asymmetry in the PFC area during N-back load memory tasks, including ive, 2-, and 3-back electroencephalography (EEG) and other neuroimaging techniques. A few studies used functional near-infrared signals (fNIRS) to analyze asymmetry during cognitive load. This study examined the hemodynamic response asymmetry in the PFC area during N-back load memory tasks, including 1-, 2-, and 3-back. The investigation results show that the asymmetry index value fluctuates as the level of memory load rises. In particular, the 1-back task's positive asymmetry index value (M = 0.2761,SD = 0.4139) suggested that left-hemisphere activity was more remarkable than right-hemisphere activation. The asymmetry index, on the other hand, revealed a negative value of (M = - 0.2105,SD= 0.4252) and (M = - 0.3665,SD = 1.2472) for the 2-back and 3-back memory tasks, respectively, indicating that the right hemisphere experienced a more significant increase in Hbo activation than the left.","PeriodicalId":386462,"journal":{"name":"2022 International Conference on Future Trends in Smart Communities (ICFTSC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122351052","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

Novel Feature Engineering for Heart Disease Risk Prediction Using Optimized Machine Learning 基于优化机器学习的心脏病风险预测新特征工程

2022 International Conference on Future Trends in Smart Communities (ICFTSC) Pub Date : 2022-12-01 DOI: 10.1109/ICFTSC57269.2022.10040063

Vishnu Vardhana Reddy Karna, S. Paramasivam, I. Elamvazuthi, Hui Na Chua, A. A. Aziz, Pranavanand Satyamurthy

{"title":"Novel Feature Engineering for Heart Disease Risk Prediction Using Optimized Machine Learning","authors":"Vishnu Vardhana Reddy Karna, S. Paramasivam, I. Elamvazuthi, Hui Na Chua, A. A. Aziz, Pranavanand Satyamurthy","doi":"10.1109/ICFTSC57269.2022.10040063","DOIUrl":"https://doi.org/10.1109/ICFTSC57269.2022.10040063","url":null,"abstract":"Heart disease is the leading cause of death and killing millions of people every year around the world. Various automated intelligent systems to predict the heart disease risk have been developed by current research works. However, these studies have drawbacks such as the inability to pick important features, lack of hyperparameter optimization, and varied performance from one model to another. In this work, proposed an unconventional feature engineering in which a Principal Component Analysis was performed on heart dataset to extract the transformed features and selected significant ones among them using Relief method. The hyperparameters of Support Vector Machine, K-Nearest Neighbors, J4S Decision Tree, AdaBoost Ml, Bagging, and Rotation Forest classifiers were optimized and performed machine learning classification using 10-fold cross-validation. The proposed work produced highest accuracy of 98.43% and AUC of 0.996 using KNN, while the Rotation Forest reached the accuracy of 98.25% and best AUC of 0.997.","PeriodicalId":386462,"journal":{"name":"2022 International Conference on Future Trends in Smart Communities (ICFTSC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130594017","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

Adopting Electrical Remote Operation and Intelligent-based System at Offshore Installation 海上安装采用电气远程操作和智能化系统

2022 International Conference on Future Trends in Smart Communities (ICFTSC) Pub Date : 2022-12-01 DOI: 10.1109/ICFTSC57269.2022.10039931

M. Hamdan, W. U. Wmn, Azam Syah Monzaid, W. S. Hakim

{"title":"Adopting Electrical Remote Operation and Intelligent-based System at Offshore Installation","authors":"M. Hamdan, W. U. Wmn, Azam Syah Monzaid, W. S. Hakim","doi":"10.1109/ICFTSC57269.2022.10039931","DOIUrl":"https://doi.org/10.1109/ICFTSC57269.2022.10039931","url":null,"abstract":"The offshore platforms in Peninsular Malaysia water are located hundreds of kilometers away from shore which were already more than 30 years in operations. Based on the available technology during that time, all main platforms were designed with manned operation facilities, which requires operators to be mobilized and available 24hrs on the platforms. Over the years, the operational cost becomes higher due to the offshore logistics and maintenance of the aging facilities. As there is a need to reduce the escalated operating cost while optimizing production, coupled with the necessity to enhance HSE while working at high-risk operation, the requirement to convert to unmanned platform with remote-controlled operations and the integration of intelligent-based system for equipment and system analytics has become more relevant and demanding. This is also supported by the advancement of digital and network communication technologies with the availability of data centralization and integration as well as intelligent electronic devices (IEDs) with standardized communication protocol that are more affordable and reliable as compared to previous years. Although remote operation is not a new practice to the electrical operation particularly at onshore facilities, implementing electrical remote operation at offshore facilities with the integration of intelligent-based systems is considered as a breakthrough in offshore environment. This paper describes the current pain points, description on the proposed solution, the challenges to realize the solution, as well as the way forward and steps taken to overcome such challenges.","PeriodicalId":386462,"journal":{"name":"2022 International Conference on Future Trends in Smart Communities (ICFTSC)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127983101","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

Anomaly Prediction and Remaining Useful Life for Alternator Health Monitoring System 交流发电机健康监测系统异常预测及剩余使用寿命

2022 International Conference on Future Trends in Smart Communities (ICFTSC) Pub Date : 2022-12-01 DOI: 10.1109/ICFTSC57269.2022.10040046

Lin Yong Wong, N. Yahya, M. N. Hamid, S. B. Hisham

{"title":"Anomaly Prediction and Remaining Useful Life for Alternator Health Monitoring System","authors":"Lin Yong Wong, N. Yahya, M. N. Hamid, S. B. Hisham","doi":"10.1109/ICFTSC57269.2022.10040046","DOIUrl":"https://doi.org/10.1109/ICFTSC57269.2022.10040046","url":null,"abstract":"An alternator plays a vital role in conversion of mechanical energy into electrical energy in a generator. An effective model of Machine Health Monitoring System (MHMS) is paramount in providing insightful information for the plant operators as preventive measures against any failure. Several studies have shown the effectiveness of the data-driven model, over the physics-based model in the development of MHMS. This is due to the robustness and sensitivity of the data-driven model based on deep learning or machine learning in detecting the small changes of the data which is especially useful when there are changes in the working state of the machine. In this project, we will investigate two approaches in MHMS namely Remaining Useful Life (RUL) and anomaly prediction using deep learning techniques. Among the deep learning techniques, Convolutional Neural Network (CNN) and Long-Short Term Memory (LSTM) for RUL prediction and anomaly prediction are chosen to be further analysed. In particular, the performance of CNN-based MHMS will be presented in comparison with the LSTM-based MHMS. The proposed RUL model will be used to identify the total number of cycles left for the generator before a major breakdown. On the other hand, anomaly prediction based on LSTM would be developed based on the multivariate forecasting method. In short, CNN model works better for the RUL prediction with the lowest RMSE value of 41.66 and accuracy up to 99.89% as compared to LSTM model whereas for the anomaly prediction through multivariate forecasting, singlelayered LSTM has a better performance as compared to stacked LSTM with accuracy up to 94.54% and RMSE value as low as 0.113","PeriodicalId":386462,"journal":{"name":"2022 International Conference on Future Trends in Smart Communities (ICFTSC)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126050364","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

Performance Evaluation of an Asynchronous MAC Protocol in Wireless Sensor Network 无线传感器网络中异步MAC协议的性能评估

2022 International Conference on Future Trends in Smart Communities (ICFTSC) Pub Date : 2022-12-01 DOI: 10.1109/ICFTSC57269.2022.10040038

Chung Yee Haw, A. Awang, F. Hussin

引用次数: 0

High Rejection Highpass Filter for Wideband Applications Using Suspended Stripline Technology 采用悬式带状线技术的宽带应用高抑制高通滤波器

2022 International Conference on Future Trends in Smart Communities (ICFTSC) Pub Date : 2022-12-01 DOI: 10.1109/ICFTSC57269.2022.10039920

S. Soeung, See Wei Yang, S. Cheab, G. S. Ng

{"title":"High Rejection Highpass Filter for Wideband Applications Using Suspended Stripline Technology","authors":"S. Soeung, See Wei Yang, S. Cheab, G. S. Ng","doi":"10.1109/ICFTSC57269.2022.10039920","DOIUrl":"https://doi.org/10.1109/ICFTSC57269.2022.10039920","url":null,"abstract":"This paper presents a high rejection and compact ultra-wideband (UWB) highpass filter using suspended stripline technology based on Generalized Chebyshev polynomial that operates between 3 GHz to 12 GHz for wideband application. Based on the Generalized Chebyshev polynomial, a 13th order lowpass filter with 5 pairs of finite transmission zeros (TZ) is synthesized. Under frequency transmission, the highpass filter network can be realized. Suspended stripline is used to realize the proposed highpass filter by introducing parallel coupled line placed between the ultra-thin Roger Duriod RO3003 substrate and the resonators to obtain higher coupling and achieve very wideband. With the unique passband, stopband elements and excellent reliability in rough working condition, the application of the filter ranging from military and aerospace to commercial communication system such as ultra-broadband receiver, 5G and others. The proposed filter is simulated, fabricated, and tested to verify the proposed design concept. The measured and simulated results are in agreement to each other. Therefore, the highpass filter in this paper could serve as a reference for high rejection and ultra-wideband application.","PeriodicalId":386462,"journal":{"name":"2022 International Conference on Future Trends in Smart Communities (ICFTSC)","volume":"45 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134450036","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

Hand Gesture-based Control of Autonomous UAV for Mobile Disinfectant Dispenser 基于手势的自主无人机移动消毒液机控制

2022 International Conference on Future Trends in Smart Communities (ICFTSC) Pub Date : 2022-12-01 DOI: 10.1109/ICFTSC57269.2022.10039812

Khairel Danish b Khairil Anwar, G. M. Abro, S. Zulkifli

{"title":"Hand Gesture-based Control of Autonomous UAV for Mobile Disinfectant Dispenser","authors":"Khairel Danish b Khairil Anwar, G. M. Abro, S. Zulkifli","doi":"10.1109/ICFTSC57269.2022.10039812","DOIUrl":"https://doi.org/10.1109/ICFTSC57269.2022.10039812","url":null,"abstract":"Autonomous unmanned aerial vehicles (UAVs) have witnessed a rapid increase in their utilization in various applications and will continue to do so in the coming decades. These UAVs, also known as drones, are designed to either assist humans or perform tasks that involve people. Drones of today have grown to be faster and less expensive by integrating several technologies, supported by hybrid algorithms, and perform various tedious, challenging, filthy and hazardous tasks. The deployment of machine learning and other AI-based algorithms enhances drones’ autonomous and vision capabilities. Today, part of an effort to curtail the spread of COVID-19, this research has designed, developed and built a mobile disinfectant dispenser based on autonomous quadrotor UAV. It is a “flying dispenser”, able to detect a person’s hand gestures from afar, based on machine learning (ML), to fly and maneuver towards the person and finally spray disinfectant on his/her hand. In order to identify various hand motions for maneuvering, this research studies and improves the ML algorithms and carries out various experiments to improve the drones’ response time and maneuvering performance, for the final objective of taking precautions to protect humans from Covid-19.","PeriodicalId":386462,"journal":{"name":"2022 International Conference on Future Trends in Smart Communities (ICFTSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130303009","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: 1

Butler Matrix Design and Simulation For 5G Applications 5G应用巴特勒矩阵设计与仿真

2022 International Conference on Future Trends in Smart Communities (ICFTSC) Pub Date : 2022-12-01 DOI: 10.1109/ICFTSC57269.2022.10039964

R. Sunitha, S. Vijayanand, R. Kannan, S. Usha, L. Rangaiah, P. Sanjay

引用次数: 0