2021 IEEE 19th Student Conference on Research and Development (SCOReD)最新文献_第4页

MATLAB GUI for Forecasting the Ionospheric F2 Layer’s Critical Frequency 电离层F2层临界频率预测的MATLAB GUI

2021 IEEE 19th Student Conference on Research and Development (SCOReD) Pub Date : 2021-11-23 DOI: 10.1109/SCOReD53546.2021.9652785

N. N. Risal, M. J. Homam

引用次数: 0

Evolution Towards 6G Intelligent Wireless Networks: The Motivations and Challenges on the Enabling Technologies 向6G智能无线网络演进:使能技术的动力与挑战

2021 IEEE 19th Student Conference on Research and Development (SCOReD) Pub Date : 2021-11-23 DOI: 10.1109/SCOReD53546.2021.9652750

Norshakinah Md Nasir, S. Hassan, K. M. Zaini

{"title":"Evolution Towards 6G Intelligent Wireless Networks: The Motivations and Challenges on the Enabling Technologies","authors":"Norshakinah Md Nasir, S. Hassan, K. M. Zaini","doi":"10.1109/SCOReD53546.2021.9652750","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652750","url":null,"abstract":"The rapid development and advancement of mobile communication technology since the world’s first cellular mobile communication service was launched, has led to the emergence and evolution of new generation systems that can be seen in every decade. The fifth-generation (5G), recently appearing generation are being deployed to meet the needs of new use cases with diverse technologies and equipment and to support the massive number of Internet-connected devices and Internet of Thing (IoT) in the coming years. However, some technical issues and more unfulfilled expectations in 5G already have been identified, which become a driving force to a significant movement leading to the standardization of the new generation, the sixth generation (6G) means to expand 5G capabilities to a higher level to allow massive IoT-enabled within the intelligent wireless network. The 6G networks are projected to come with the key features of advanced network virtualization, space-air-ground integrated networking, and omnipresent intelligence. In this paper, we present a survey on wireless evolution towards the 6G networks with a focus on the main driving forces behind the movement to 6G. In addition, different technologies and uses cases of 6G networks are reviewed in this article. The expected features and key technologies on the network slicing technology with the Artificial Intelligent (AI) enhancement to enabling a multitude of services with varying quality of service (QoS) requirements and its challenge in 6G also will be discussed.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"43 1","pages":"305-310"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79924740","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

Power System Stabilizer for Stability Enhancement of Wind Generators Connected to Power System 电力系统稳定器用于增强风力发电机组接入电力系统的稳定性

2021 IEEE 19th Student Conference on Research and Development (SCOReD) Pub Date : 2021-11-23 DOI: 10.1109/SCOReD53546.2021.9652739

A. Alsakati, C. Aravind Vaithilingam, Brish Ramlochun, Abumuslim Khujaev

引用次数: 1

Real-Time Evolutionary Music Composition Using JFUGUE and Genetic Algorithm 基于JFUGUE和遗传算法的实时进化音乐创作

2021 IEEE 19th Student Conference on Research and Development (SCOReD) Pub Date : 2021-11-23 DOI: 10.1109/SCOReD53546.2021.9652786

Alisa Yi Hui Yap, Hoong-Cheng Soong, Savio Siu Hong Tse

{"title":"Real-Time Evolutionary Music Composition Using JFUGUE and Genetic Algorithm","authors":"Alisa Yi Hui Yap, Hoong-Cheng Soong, Savio Siu Hong Tse","doi":"10.1109/SCOReD53546.2021.9652786","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652786","url":null,"abstract":"Computer musicology is the research from the interdisciplinary computer science and music fields to study music but not limited to these aforementioned disciplines. Composing a musical piece is a tedious work, time consuming and sometimes it is frustrating to obtain the same repetitive and unintentionally composed the copyrighted similar patterns from other artists. Therefore, automated computer music composition that is utilizing the computing to music essentially one of the methods is evolutionary music using evolutionary algorithms such as Genetic Algorithm (GA). This focal of the research project is the study of evolutionary music, and focuses on the development of an algorithmic music composer using the Java programming language. The system shall be able generated music based on a genetic algorithm, where users can define basic parameters including the instrument used to play the music, tempo, number of generated notes, and the number of measures to generate. In addition, the system also utilizes JavaFx and JFUGUE for its graphical user interface and music programming respectively. Besides generating music, the developed system includes various functionalities including saving the music into an audio file, editing the generated music, playing music, as well as loading and viewing the music previously generated and saved by the users. The music produced through this system are relatively simple and innovative, and is suited to be applied in personal projects which require such audio accompaniment. Lastly, the deliverable of this project will be a desktop application for users to compose and generate music in real-time with minimal effort.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"27 1","pages":"377-382"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87944798","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

Indoor Human Fall Detection Using Data Augmentation-Assisted Transfer Learning in an Aging Population for Smart Homecare: A Deep Convolutional Neural Network Approach 使用数据增强辅助迁移学习在老龄化人口智能家庭护理中的室内人体跌倒检测:一种深度卷积神经网络方法

2021 IEEE 19th Student Conference on Research and Development (SCOReD) Pub Date : 2021-11-23 DOI: 10.1109/SCOReD53546.2021.9652769

Mark Seth U. Pita, A. Alon, P. M. B. Melo, Rowell M. Hernandez, Alex I. Magboo

引用次数: 10

Internet of Things Based Heart Failure Monitoring System using Radio Frequency Identification 基于物联网的射频识别心力衰竭监测系统

2021 IEEE 19th Student Conference on Research and Development (SCOReD) Pub Date : 2021-11-23 DOI: 10.1109/SCOReD53546.2021.9652754

Syahirah Asyiqin Alias, D. Mohd Ali, Yusmardiah Yusuf

{"title":"Internet of Things Based Heart Failure Monitoring System using Radio Frequency Identification","authors":"Syahirah Asyiqin Alias, D. Mohd Ali, Yusmardiah Yusuf","doi":"10.1109/SCOReD53546.2021.9652754","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652754","url":null,"abstract":"This paper presents an internet of things (IoT) based heart failure monitoring system using radio frequency identification (RFID). It is developed to assist doctors to monitor patient's health conditions with heart failure disease remotely. The monitoring process can be done without having the presence at the hospital especially during the COVID-19 pandemic crisis where the doctor and the caretaker can access the medical record of the patient whenever required. This project employs Arduino Mega as the microcontroller which is interfaced with several sensors as input such as temperature sensor, pulse oximeter sensor and pulse sensor. The patient only needs to place their fingertip on each sensor while the monitoring process is performed to obtain the reading of health data. These data will be sent to the microcontroller to be processed and compared with the threshold value of each sensor. If the data obtained exceeds the threshold value, a notification is sent via Blynk mobile application to notify the doctor or caretaker on the abnormalities of the patient's health condition for further action. ESP8266 Wi-Fi module is used to allow doctor to access and monitor their patient's data from the cloud server using Blynk mobile application. This mobile application displays and notify the health condition of the patient in real time. Besides, the health data also can be exported to Excel for analysis and evaluation. The result obtained from testing the system turned out to be satisfactory in monitoring patient's health condition with an almost accurate reading of health data.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"353 1","pages":"96-101"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76472647","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

Electrochemical Detection of Tributyrin using Gold Nanoparticle Functionalized Screen-Printed Electrode 金纳米颗粒功能化丝网印刷电极电化学检测三丁酸酯

2021 IEEE 19th Student Conference on Research and Development (SCOReD) Pub Date : 2021-11-23 DOI: 10.1109/SCOReD53546.2021.9652783

A. Aidil, S. R. Balakrishnan, C. W. Zanariah, W. Z. W. Ismail, M. Sahrim, I. Ismail, J. Jamaludin

引用次数: 0

Augmenting Portable Remote Sensing Data Logger with Potential Cluster Head Selection 增强便携式遥感数据记录仪与潜在的簇头选择

2021 IEEE 19th Student Conference on Research and Development (SCOReD) Pub Date : 2021-11-23 DOI: 10.1109/SCOReD53546.2021.9652683

Kit Guan Lim, Johnathan Fu Shen Fuah, Jin Fan, Helen Sin Ee Chuo, M. K. Tan, K. Teo

{"title":"Augmenting Portable Remote Sensing Data Logger with Potential Cluster Head Selection","authors":"Kit Guan Lim, Johnathan Fu Shen Fuah, Jin Fan, Helen Sin Ee Chuo, M. K. Tan, K. Teo","doi":"10.1109/SCOReD53546.2021.9652683","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652683","url":null,"abstract":"The aim of this paper is to design and optimize Wireless Remote Sensing Network (WRSN) system for Precision Agriculture (PA). Optimization for PA is necessary to improve production yield. Friss Transmission Equation is modelled and simulated in MATLAB to determine the relationship of Received Signal Strength Index (RSSI) with the range of transmission. Number of sensor node to be deployed over a plantation area is determined in MATLAB so that Wireless Sensor Network (WSN) can achieve optimum transmission coverage. Computational algorithms such as Conventional Point-to-Point Transmission (CPTPT) protocol, Shortest Distance Cluster Head Selection (SDCHS) protocol and Power Considerations Cluster Head Selection (PCCHS) protocol are also developed in MATLAB. Performance metrics used to evaluate these algorithms include the average transmission range and number of available connectivity paths. Results showed that PCCHS is the best among the three algorithms since it has the shortest average transmission range and least route for connectivity. Three sensor nodes (SNs) and a Data Acquisition Tower (DAT) are designed and fabricated to collect the soil and crops variability data in the farms. Each SN and DAT forms a wireless sensor node which is able to process data, has independent power source and various sensing capability as well as wireless communication system. Concurrently, real time data logging architecture is implemented at each SN. Data transmission protocol is also developed to increase the transmission efficiency, where cluster head is selected based on residual power. Clustering routing protocol constructs the formation of Centralized Clustering Network System (CCNS) which prolongs the Network Lifetime (NL) by approximately 25%.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"39 1","pages":"460-465"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79147587","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

Two Decades of Digital Storytelling: A Comprehensive Bibliometric Analysis 二十年的数字叙事:一个全面的文献计量分析

2021 IEEE 19th Student Conference on Research and Development (SCOReD) Pub Date : 2021-11-23 DOI: 10.1109/SCOReD53546.2021.9652751

Yali Tian, Norbayah Mohd Suki, A. Omar

引用次数: 0

IoT Based Vehicle Parking Model with Mobile Apps Software 基于物联网的车辆停放模型与移动应用软件

2021 IEEE 19th Student Conference on Research and Development (SCOReD) Pub Date : 2021-11-23 DOI: 10.1109/SCOReD53546.2021.9652765

Ho Sein Won, A. Mahamad, S. Saon, S. Mudjanarko, Muladi

{"title":"IoT Based Vehicle Parking Model with Mobile Apps Software","authors":"Ho Sein Won, A. Mahamad, S. Saon, S. Mudjanarko, Muladi","doi":"10.1109/SCOReD53546.2021.9652765","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652765","url":null,"abstract":"In this 21st century, the progression of the modern world has come to the age of revolution industry 4.0. Almost every technology are coping with IoT concept to provide ease to humanity. Although the progression of technology is skyrocketing, it also increases the population of humanity. With this, the community require a more efficient way in managing parking hunting constraint that causes by population increase. This project purpose is to eradicate the burden for parking hunting for train user community using IoT concept. The Mobile app software design to retrieve and sent data of the current number of parking in the parking spot. A model of parking spaces builds with an Arduino Mega and 4 IR proximity sensor 12224 at the parking spot, representing 4 parking slots. The data received have been sent to the cloud database to be retrieved from mobile app software through Arduino Wi-Fi module ESP8266. For the mobile app-software programming, it has been built using Python, where it will be implemented on 2 platforms Jupyter and PyCharm. The best platform will be chosen as the platform to develop mobile app software. The package to develop this software was used KiVy and KiVyMd, which can be coded in Python programing language. For cloud databases, Amazon Web Service (AWS) and Google Firebase were used to store parking spot data and user login data, respectively. Both software and hardware have been tested in sync at the prototype testing phase to check the data obtain accuracy and the mobile app-software performance index.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"124 1","pages":"197-200"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77454423","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