2019 IEEE Student Conference on Research and Development (SCOReD)最新文献

Preliminary Implementation of the Next Generation Cannulation Simulator 下一代仿真器的初步实现

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-11-14 DOI: 10.1109/SCORED.2019.8896240

A. Mahmoud, A. A. Hssain, Guillaume Alinier, I. Hassan, U. Khurshid, Aiman Abducarim, S. Mahmud, Omrane Abdallah, Elshaikh Mohamed, A. Alsalemi, F. Bensaali, A. Amira

{"title":"Preliminary Implementation of the Next Generation Cannulation Simulator","authors":"A. Mahmoud, A. A. Hssain, Guillaume Alinier, I. Hassan, U. Khurshid, Aiman Abducarim, S. Mahmud, Omrane Abdallah, Elshaikh Mohamed, A. Alsalemi, F. Bensaali, A. Amira","doi":"10.1109/SCORED.2019.8896240","DOIUrl":"https://doi.org/10.1109/SCORED.2019.8896240","url":null,"abstract":"Extracorporeal Membrane Oxygenation (ECMO) is a highly complex/critical lifesaving procedure known to support patients with cardiac and respiratory issues. Patients on ECMO are monitored 24/7 by a team of highly trained ECMO team comprising nurses, physicians, respiratory therapists, and perfusionists promptly intervening to any potential emergency situation. Simulation-Based Training (SBT) allows clinicians to experience and practice realistic hands-on procedures and scenarios without any risk. In ECMO, cannulation is a critical procedure performed to externally reroute the blood flow so it can be re-oxygenated by the ECMO machine before being recirculated through the patient's body. In a close collaboration with Hamad Medical Corporation (HMC), this project aims to develop a cost effective, realistic, and user-friendly ECMO simulator focusing on the venous and arterial cannulation procedure, The main features of this simulator include cannulation emergencies caused by low pressure flow, excessive force, recirculation, or mispositioned wire/cannula. Therefore, the ECMO cannulation simulator will not only greatly contribute to the initial and ongoing local training of HMC ECMO clinicians but also contribute to improving patient care by lowering the risks associated with the cannulation process.","PeriodicalId":231004,"journal":{"name":"2019 IEEE Student Conference on Research and Development (SCOReD)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116638971","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

Athena: A Mobile Based Application for Women's Safety with GPS Tracking and Police Notification for Rizal Province 雅典娜:一个基于移动应用程序的妇女安全与GPS跟踪和警察通知黎刹省

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896274

Ester Dhenise G. Vinarao, Michelle Nicole B. de Guzman, Edward A. Fernandez, Danica Jane V. Quije, Rheaxena C. Gorres, Eliseo D. Francisco, Reynold A. Delizo, Edward N. Cruz

{"title":"Athena: A Mobile Based Application for Women's Safety with GPS Tracking and Police Notification for Rizal Province","authors":"Ester Dhenise G. Vinarao, Michelle Nicole B. de Guzman, Edward A. Fernandez, Danica Jane V. Quije, Rheaxena C. Gorres, Eliseo D. Francisco, Reynold A. Delizo, Edward N. Cruz","doi":"10.1109/SCORED.2019.8896274","DOIUrl":"https://doi.org/10.1109/SCORED.2019.8896274","url":null,"abstract":"The study aims to develop a Mobile Based Application for Woman's Safety to help authorities track criminals through the use of the said application by providing real-time SMS Notification, GPS Tracking, and direct emergency call to nearby police station inside the province. Rizal province was chosen as the beneficiary of this study during this phase. The system will also help authorities prevent crimes before it happens depending on the user response. The study is best suited for individuals commuting to uncomfortable destinations. The study requires users to have an active mobile network load to maximize the potential of the system. It involves host server which accept and process complaints initiated by the users. The development of the “Athena: A Mobile Based Application for Woman's Safety with GPS Tracking and Police Notification for Rizal Province” utilizes Agile methodology in Android platform provide the following functions: sends notification via SMS, video and image capturing, and direct calling the police and GPS tracking in time of distress. The developed system also showed its effectivity in processing the different features stated in the scope and delimitations of the study.","PeriodicalId":231004,"journal":{"name":"2019 IEEE Student Conference on Research and Development (SCOReD)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128313745","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: 4

A modified crow search algorithm with niching technique for numerical optimization 基于小生境技术的改进乌鸦搜索算法

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896291

Jahedul Islam, P. Vasant, B. M. Negash, J. Watada

引用次数: 7

Nursery Science: A Mobile Application for Learning Science for Pre-Schoolers 幼儿园科学:学龄前儿童学习科学的移动应用程序

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896249

Clifford A. Calleja, Paul John E. Candelaria, Dann Neil R. Cape, Ma. Katrina A. Lazarte, Bernie S. Fabito

{"title":"Nursery Science: A Mobile Application for Learning Science for Pre-Schoolers","authors":"Clifford A. Calleja, Paul John E. Candelaria, Dann Neil R. Cape, Ma. Katrina A. Lazarte, Bernie S. Fabito","doi":"10.1109/SCORED.2019.8896249","DOIUrl":"https://doi.org/10.1109/SCORED.2019.8896249","url":null,"abstract":"Mobile Learning or M-Learning has been gaining attention in research to determine its impact on the learning experiences of the students. The use of technology, particularly of mobile learning, is essential in education due to its capability to provide individual learning experiences. M-Learning can be defined as Learning using mobile devices like Smart Phones and Tablets. This platform can be integrated into Blended Learning where students learn inside and outside the four walls of the classroom. Given the advantages of M-Learning for students, this study sought to design and develop a mobile application that helps preschoolers enhance their learning experience in science in one Daycare Center in the Philippines. The application includes lessons from the Department of Social Welfare and Development (DSWD). Quizzes as a form of assessment can be taken after each lesson. Succeeding lessons are locked and cannot be accessed until the teacher unlocks these lessons. The mobile application was assessed using ISO 9126 to determine the acceptability among the teachers and parents of the pupils of the Daycare Center. The overall result yielded an average mean of 4.0 which is verbally interpreted as Very Satisfactory. A longitudinal-experimental study for the mobile application is recommended to further assess the impact of the application on the learning experience of the pupils.","PeriodicalId":231004,"journal":{"name":"2019 IEEE Student Conference on Research and Development (SCOReD)","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116469872","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

EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter 基于统计特征和公共空间模式滤波的脑电图眼态识别

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896270

Wang Chia Woon, N. Yahya, N. Badruddin

{"title":"EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter","authors":"Wang Chia Woon, N. Yahya, N. Badruddin","doi":"10.1109/SCORED.2019.8896270","DOIUrl":"https://doi.org/10.1109/SCORED.2019.8896270","url":null,"abstract":"EEG signal is one of the main sources for implementation of Brain-Computer Interface (BCI) technology. The BCI is a non-muscle communication link between brain and external device, which commonly designed to enable patients with neurological condition to interact with others using their brain signals. In this work, we investigated the classification of EEG eye state data using statistical and CSP filter technique. Statistical feature has been applied in EEG signal classifications of eye-close and eye-open conditions but the accuracy is reported to be less than 78%. CSP filter is a well-known method for classification of motor imagery EEG in the BCI field but when applied for EEG eye state classification, it only gives accuracy similar to statistical feature, that is less than 78%. These indicate that both methods give good discrimination of the eye state condition but on it own, will not be sufficient to produce good classification accuracy. Hence, this work aims to develop an algorithm using statistical-CSP feature for eye state classification from EEG signal. This is taking advantage on the discriminative feature provided by both methods, statistical and CSP filter, which is expected to increase the accuracy of the eye state classification algorithm. The process of developing the EEG eye state classification algorithm, includes data extraction, pre-processing, data normalization, feature extraction, feature selection and classification are detailed out in this paper. Number of selected electrodes are divided into 3 groups, with 2 groups having a set of 7 different electrodes and 1 group that combined both sets of 7 electrodes giving a total of 14 electrodes. Using ten-fold cross validation, the highest accuracy of statistical feature is at 54.3% and the highest accuracy of CSP feature is at 72.3% generated using fine Gaussian SVM classifier. Result from this work has shown that combining both statistical and CSP features from 7 electrodes of Group I has shown to result in good accuracy of 99.92%.","PeriodicalId":231004,"journal":{"name":"2019 IEEE Student Conference on Research and Development (SCOReD)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128107450","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

Building Ambient Temperature Measurement using Industrial Wireless Mesh Technology 利用工业无线网格技术测量建筑环境温度

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896316

Tran duc Chung, R. Ibrahim

引用次数: 4

Classification of Neurological States from Biosensor Signals Based on Statistical Features 基于统计特征的生物传感器信号神经状态分类

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896286

Soong Qian Xin, N. Yahya, L. I. Izhar

{"title":"Classification of Neurological States from Biosensor Signals Based on Statistical Features","authors":"Soong Qian Xin, N. Yahya, L. I. Izhar","doi":"10.1109/SCORED.2019.8896286","DOIUrl":"https://doi.org/10.1109/SCORED.2019.8896286","url":null,"abstract":"In this paper, we investigate techniques to classify the neurological status based on the biosensor signals. The sensor used in this work, recorded reading of acceleration (accX, aceY, accZ), temperature and electrodermal activity (EDA). Four neurological conditions are considered; cognitive stress, emotional stress, physical stress, and relaxation mode. Statistical feature extraction methods used in this work include mean, maximum (max), minimum (min), mean absolute deviation (MAD), Standard deviation (STD), interquartile range (IQR) and total summation. The extracted features are then fed into the Support Vector Machines (SVM) and ensemble classifier which are supervised learning models. The accuracy of the classifier used in determining the neurological status of the subjects with and without the feature extraction was computed and analyzed to conclude on the ability as well as the accuracy of each method in determining the neurological status. The ensemble classifier achieved an accuracy of 99.8% without feature extraction and 94.5% with feature extraction while the SVM classifier achieved an accuracy of 62.4% without feature extraction and 87% with feature extraction. This indicates ensemble is a better classifier when using no feature extraction whereas, SVM performs better with feature extraction in classifying different neurological status from biosensor signals.","PeriodicalId":231004,"journal":{"name":"2019 IEEE Student Conference on Research and Development (SCOReD)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132745932","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

Wearable Thermoelectric Nanogenerator Based on Carbon Nanotube for Energy Harvesting 基于碳纳米管能量收集的可穿戴热电纳米发电机

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896333

Fariba Islam, A. Zubair, Nabila Fairuz

{"title":"Wearable Thermoelectric Nanogenerator Based on Carbon Nanotube for Energy Harvesting","authors":"Fariba Islam, A. Zubair, Nabila Fairuz","doi":"10.1109/SCORED.2019.8896333","DOIUrl":"https://doi.org/10.1109/SCORED.2019.8896333","url":null,"abstract":"Wearable and portable devices are appearing prominently in consumer electronics over the last decade and are becoming inevitable in this modern era. However, powering and recharging these devices are still tremendous challenges. Here, we designed thermoelectric nanogenerators and a novel textile based thermoelectric energy harvester based on carbon nanotube (CNT) which can be solution to the problem. These energy harvesters can harness solar or thermal energy to generate electricity. The reason for preferring textile based thermoelectric generator is that it can be used ubiquitously and can be used to power up wearable devices whenever needed. CNT is selected as the material of choice due to extreme tensile strength of CNTs so that long fibers required for textile can be manufactured with it and extraordinary tunability of electrical and thermal properties of CNTs. Though, some other thermoelectric materials like Bi2Te3and PbTe have greater Seebeck coefficient than that of CNT, their tensile strength is much smaller and they are toxic. In our textile based energy harvester, the CNT fibers are incorporated with conventional textile fibers like cotton. We proposed different configurations of textile based energy harvester and corresponding generated thermoelectric voltage was estimated. In series configuration, we found voltage of 55.2 μV for 1 K temperature difference in a 44 mm long fiber.","PeriodicalId":231004,"journal":{"name":"2019 IEEE Student Conference on Research and Development (SCOReD)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115183634","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: 5

Understanding the differences in students' attitudes towards social media use: A case study from Oman 了解学生对社交媒体使用态度的差异:来自阿曼的案例研究

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896251

Noor Al-Qaysi, Norhisham Mohamad-Nordin, M. Al-Emran, Mohammed A. Al-Sharafi

引用次数: 23

PhABC: A Hybrid Artificial Bee Colony Strategy for Pairwise test suite Generation with Constraints Support PhABC:一种具有约束支持的成对测试套件生成的混合人工蜂群策略

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896324

A. K. Alazzawi, H. Rais, S. Basri, Y. A. Alsariera

{"title":"PhABC: A Hybrid Artificial Bee Colony Strategy for Pairwise test suite Generation with Constraints Support","authors":"A. K. Alazzawi, H. Rais, S. Basri, Y. A. Alsariera","doi":"10.1109/SCORED.2019.8896324","DOIUrl":"https://doi.org/10.1109/SCORED.2019.8896324","url":null,"abstract":"Software testing becoming significant part of our daily life due to a software-development process that led to increase the components number and the associated time. Due to the financial resources and time constraints, practically exhaustive testing is hopeless. For this reason, numerous researchers have adopted pairwise testing to decrease the exhaustive number of test cases. Pairwise testing is one of a powerful Combinatorial Testing Technique (CTT) that used widely for test data generation. Various existing research works were developed using a meta-heuristic algorithm as a basis for pairwise testing strategies. Supplementing to earlier research work, this paper proposed a new pairwise test suite generation called pairwise hybrid artificial bee colony (PhABC) strategy based on hybridize of an artificial bee colony (ABC) algorithm with a particle swarm optimization (PSO) algorithm. The output of PhABC is a set of promising optimal test set combinations. The results of the experiments showed that PhABC outperformed and yielded better test sets than other existing other research strategies even with the existing constraints.","PeriodicalId":231004,"journal":{"name":"2019 IEEE Student Conference on Research and Development (SCOReD)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117258185","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: 12