Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251010
Z. Tukiran, Afandi Ahmad, N. H. Ja'afar, Azlan Muharam, Muhammad Muzakkir Mohd Nadzri
This paper describes the proposed implementation of accelerometer measurement on the FPGA platform. The FPGA platform is used to utilise the parallelism features offer by the FPGA instead of other processing devices. The acceleration measurement is designed using G-code in LabVIEW FPGA and then implemented on the NI sbRIO-9632 FPGA board using VHDL. The implementation results are evaluated in terms of FPGA speed and usage of FPGA resources. It shows that the acceleration measurement on the FPGA board utilises approximately 15% of FPGA resources with approximately 44MHz FPGA speed. The execution time of the acceleration measurement module shows the FPGA-based implementation outperforms the microcontroller-based implementation. The correctness of the computed output by the FPGA board is also verified. These findings provide insight into the implementation of real-time monitoring applications, particularly for the human motion measurement system on the FPGA platform.
{"title":"Implementation of Acceleration Measurement on FPGA platform for Real-time Monitoring Application","authors":"Z. Tukiran, Afandi Ahmad, N. H. Ja'afar, Azlan Muharam, Muhammad Muzakkir Mohd Nadzri","doi":"10.1109/SCOReD50371.2020.9251010","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251010","url":null,"abstract":"This paper describes the proposed implementation of accelerometer measurement on the FPGA platform. The FPGA platform is used to utilise the parallelism features offer by the FPGA instead of other processing devices. The acceleration measurement is designed using G-code in LabVIEW FPGA and then implemented on the NI sbRIO-9632 FPGA board using VHDL. The implementation results are evaluated in terms of FPGA speed and usage of FPGA resources. It shows that the acceleration measurement on the FPGA board utilises approximately 15% of FPGA resources with approximately 44MHz FPGA speed. The execution time of the acceleration measurement module shows the FPGA-based implementation outperforms the microcontroller-based implementation. The correctness of the computed output by the FPGA board is also verified. These findings provide insight into the implementation of real-time monitoring applications, particularly for the human motion measurement system on the FPGA platform.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125849296","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}
Pub Date : 2020-09-27DOI: 10.1109/scored50371.2020.9250747
{"title":"About The Conference","authors":"","doi":"10.1109/scored50371.2020.9250747","DOIUrl":"https://doi.org/10.1109/scored50371.2020.9250747","url":null,"abstract":"","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131016306","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250969
J. Yeo, P. S. JosephNg, K. A. Alezabi, H. C. Eaw, K. Y. Phan
With plenty of opportunities for new social interactions, events, and other perspectives, it may be a challenge for students to balance both time and money simultaneously. Even though there is a variety of planning and budgeting application in the market to help students in terms of education and personal life, students ought to download multiple applications that only have a particular function. With this multifunctional application- StuLogger, it aims to improve student knowledge and promotes self-reflection, which may encourage students ’perception of their time spent and allow them to track their financial activity efficiently. It allows users to set up income and expense from various options such as food, transportation, bms, and others. Besides that, the app comes with a calendar, notes and reminder to allow users to organize their daily activities. The study employed a mixed-method approach in which both survey and interview were conducted online by students from private university.
{"title":"Time Scheduling and Finance Management: University Student Survival Kit","authors":"J. Yeo, P. S. JosephNg, K. A. Alezabi, H. C. Eaw, K. Y. Phan","doi":"10.1109/SCOReD50371.2020.9250969","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250969","url":null,"abstract":"With plenty of opportunities for new social interactions, events, and other perspectives, it may be a challenge for students to balance both time and money simultaneously. Even though there is a variety of planning and budgeting application in the market to help students in terms of education and personal life, students ought to download multiple applications that only have a particular function. With this multifunctional application- StuLogger, it aims to improve student knowledge and promotes self-reflection, which may encourage students ’perception of their time spent and allow them to track their financial activity efficiently. It allows users to set up income and expense from various options such as food, transportation, bms, and others. Besides that, the app comes with a calendar, notes and reminder to allow users to organize their daily activities. The study employed a mixed-method approach in which both survey and interview were conducted online by students from private university.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131501989","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251035
Saravanaraj Sathasivam, A. Mahamad, S. Saon, A. Sidek, M. Som, H. A. Ameen
Transportation is widely used to allow user travel conveniently from place to place, for a personal of official purpose. Travel during peak hour or holiday, expose the driver to traffic jam for several hour, thus cause the drive to feel drowsy easily due to high concentration and lack of rest. This situation contributes the increasing of the percentage of car incident due to car driver fatigue is the primary origin of the car accident. In this paper, image detection drowsiness system is proposed to detect the state of the car driver using Eye Aspect Ratio (EAR) technique. A developed system that occupied with the Pi camera, Raspberry Pi 4 and GPS module are used to detect and analyse continuously the state of eye closure in real time. This system able to recognize whether the driver is drowsy or not, with the initial, wearing spectacles, dim light and microsleep condition experimental conducted successfully give 90% of accuracy. This situation can increase the vigilant of drivers significantly.
交通工具被广泛用于方便用户旅行从一个地方到另一个地方，为个人或公务目的。在高峰时间或节假日出行，使驾驶员暴露在交通堵塞中几个小时，从而使驾驶员由于高度集中和缺乏休息而容易感到昏昏欲睡。这种情况促成了汽车事故的百分比的增加，因为汽车驾驶员疲劳是交通事故的主要原因。本文提出了一种利用眼宽高比(EAR)技术检测汽车驾驶员状态的图像检测系统。利用Pi相机、Raspberry Pi 4和GPS模块开发的系统，实时连续检测和分析闭眼状态。该系统能够识别驾驶员是否昏昏欲睡，在初始、戴眼镜、昏暗灯光和微睡眠条件下进行的实验成功地给出了90%的准确率。这种情况可以大大提高司机的警惕性。
{"title":"Drowsiness Detection System using Eye Aspect Ratio Technique","authors":"Saravanaraj Sathasivam, A. Mahamad, S. Saon, A. Sidek, M. Som, H. A. Ameen","doi":"10.1109/SCOReD50371.2020.9251035","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251035","url":null,"abstract":"Transportation is widely used to allow user travel conveniently from place to place, for a personal of official purpose. Travel during peak hour or holiday, expose the driver to traffic jam for several hour, thus cause the drive to feel drowsy easily due to high concentration and lack of rest. This situation contributes the increasing of the percentage of car incident due to car driver fatigue is the primary origin of the car accident. In this paper, image detection drowsiness system is proposed to detect the state of the car driver using Eye Aspect Ratio (EAR) technique. A developed system that occupied with the Pi camera, Raspberry Pi 4 and GPS module are used to detect and analyse continuously the state of eye closure in real time. This system able to recognize whether the driver is drowsy or not, with the initial, wearing spectacles, dim light and microsleep condition experimental conducted successfully give 90% of accuracy. This situation can increase the vigilant of drivers significantly.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128515416","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251026
Ahmed Amirul Arefin, A. S. Nazmul Huda, Zahurul Syed, Akhtar Kalam, H. Terasaki
The paper presents an application of ACS712 current sensor based intelligent solid-state relay for line overcurrent protection of solar-diesel hybrid mini DC grid system. The proposed system can sense the overcurrent faults in the DC grid line and also read continuous current from the distribution side and send it to the server through a wireless module after a certain time. Therefore, the condition of the distribution is monitored from the server side simultaneously. Thus, the proposed system ensures the preventive maintenance of mini-grid system. The experimental result shows that proposed system follows the characteristics of standard IDMT relay with additional intelligent feature.
{"title":"ACS712 Based Intelligent Solid-State Relay for Overcurrent Protection of PV- Diesel Hybrid Mini Grid","authors":"Ahmed Amirul Arefin, A. S. Nazmul Huda, Zahurul Syed, Akhtar Kalam, H. Terasaki","doi":"10.1109/SCOReD50371.2020.9251026","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251026","url":null,"abstract":"The paper presents an application of ACS712 current sensor based intelligent solid-state relay for line overcurrent protection of solar-diesel hybrid mini DC grid system. The proposed system can sense the overcurrent faults in the DC grid line and also read continuous current from the distribution side and send it to the server through a wireless module after a certain time. Therefore, the condition of the distribution is monitored from the server side simultaneously. Thus, the proposed system ensures the preventive maintenance of mini-grid system. The experimental result shows that proposed system follows the characteristics of standard IDMT relay with additional intelligent feature.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130922530","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251000
Syadia Nabilah Mohd Safuan, Mohd Razali Md Tomari, W. Zakaria, N. Othman, N. S. Suriani
Computer Aided System (CAS) is an automated, fast and accurate approach for detection and classification purposes. It is used to help experts or medical practitioner as a second opinion to analyze the blood smear image. It is done manually by some practitioners but it is time consuming and creates confusion as different pathologists give different observations and results as it is highly dependent on the experts’ skills. Other than that, it is also challenging to analyze it manually as there are thousands of images. Some researchers used CAS by applying the machine learning to classify the data. However, significant features must be known before proceeding with classification process. In this paper, Convolutional Neural Network (CNN) is applied to classify the WBC types to identify Acute Lymphoblastic Leukemia (ALL). It is a better approach as no complex features need to be designed and it is a fast response program. Pre-trained models of deep learning which are AlexNet, GoogleNet and VGG-16 are compared to each other to find the model that can classify better. There are 260 images in IDB-2 database and 242 images in LISC database. Five types of WBC are classified for LISC database while for IDB-2 database, Lymphoblast and Non-Lymphoblast is classified specifically. As a result, for both database, AlexNet achieve the best result in terms of the training and testing accuracy for each class. Training accuracy for IDB-2 is 96.15% while testing accuracy for Lymphoblast and Non-Lymphoblast is 97.74% and 95.29% respectively. Training accuracy by AlexNet for LISC is 80.82% and testing accuracy is the highest for each class except Monocyte. Overall, AlexNet works better than the other two models for classification for both databases.
{"title":"Computer Aided System (CAS) Of Lymphoblast Classification For Acute Lymphoblastic Leukemia (ALL) Detection Using Various Pre-Trained Models","authors":"Syadia Nabilah Mohd Safuan, Mohd Razali Md Tomari, W. Zakaria, N. Othman, N. S. Suriani","doi":"10.1109/SCOReD50371.2020.9251000","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251000","url":null,"abstract":"Computer Aided System (CAS) is an automated, fast and accurate approach for detection and classification purposes. It is used to help experts or medical practitioner as a second opinion to analyze the blood smear image. It is done manually by some practitioners but it is time consuming and creates confusion as different pathologists give different observations and results as it is highly dependent on the experts’ skills. Other than that, it is also challenging to analyze it manually as there are thousands of images. Some researchers used CAS by applying the machine learning to classify the data. However, significant features must be known before proceeding with classification process. In this paper, Convolutional Neural Network (CNN) is applied to classify the WBC types to identify Acute Lymphoblastic Leukemia (ALL). It is a better approach as no complex features need to be designed and it is a fast response program. Pre-trained models of deep learning which are AlexNet, GoogleNet and VGG-16 are compared to each other to find the model that can classify better. There are 260 images in IDB-2 database and 242 images in LISC database. Five types of WBC are classified for LISC database while for IDB-2 database, Lymphoblast and Non-Lymphoblast is classified specifically. As a result, for both database, AlexNet achieve the best result in terms of the training and testing accuracy for each class. Training accuracy for IDB-2 is 96.15% while testing accuracy for Lymphoblast and Non-Lymphoblast is 97.74% and 95.29% respectively. Training accuracy by AlexNet for LISC is 80.82% and testing accuracy is the highest for each class except Monocyte. Overall, AlexNet works better than the other two models for classification for both databases.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128010367","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}
Pub Date : 2020-09-27DOI: 10.1109/scored50371.2020.9250966
{"title":"eCFreport SCORED 2020","authors":"","doi":"10.1109/scored50371.2020.9250966","DOIUrl":"https://doi.org/10.1109/scored50371.2020.9250966","url":null,"abstract":"","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"297 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133481782","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250943
S. Qureshi, Adel Y. I. Ashyap, Z. Abidin, S. Dahlan, S. M. Shah, S. Yee, H. Majid, C. See
A compact and robust inversely E-shaped antenna (IESA) integrated with electromagnetic band-gap (EBG) is presented for wearable applications at 2.4 GHz. The EBG introduced in this paper to shield the antenna from body effects, due to its high natural dielectric. With EBG, the antenna shows good performance under bending and loading human body. The design has overall dimension of $46 times 46 times 2.4$ mm3. The integration of antenna with EBG shows an improvement of a gain of 7.8 dBi and bandwidth of 27%. It also reduces the specific absorption rate (SAR) by more than 95.
{"title":"Compact, Low-profile and Robust Inversely E-shaped antenna Integrated with EBG Structures for Wearable Application","authors":"S. Qureshi, Adel Y. I. Ashyap, Z. Abidin, S. Dahlan, S. M. Shah, S. Yee, H. Majid, C. See","doi":"10.1109/SCOReD50371.2020.9250943","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250943","url":null,"abstract":"A compact and robust inversely E-shaped antenna (IESA) integrated with electromagnetic band-gap (EBG) is presented for wearable applications at 2.4 GHz. The EBG introduced in this paper to shield the antenna from body effects, due to its high natural dielectric. With EBG, the antenna shows good performance under bending and loading human body. The design has overall dimension of $46 times 46 times 2.4$ mm3. The integration of antenna with EBG shows an improvement of a gain of 7.8 dBi and bandwidth of 27%. It also reduces the specific absorption rate (SAR) by more than 95.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129673979","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250985
Nurul Fatin Rakib, N. Mahmood, N. Ramli, N. A. Zakaria, M. A. A. Razak
This paper introduced a rehabilitation system for the upper limb function of the post stroke patients who involved virtual reality games. Post- stroke patient is needed to perform rehabilitation to improve their hand and finger motion, which were affected from the stroke. Thus a virtual reality hand rehabilitation using Leap Motion sensor integrated with Unity software was developed, which focuses on the hand and finger movement of the patient. There are three games created namely Space game, Cannon game and Piano games in order to evaluate the performance of the users. Data from 10 normal subjects playing each virtual game in one minute has been collected and analysed. The results show that average values of objects can be destroyed by the normal people in Space game, Cannon game and Piano game is 9,23 and 20 respectively. Feedback has been received and these virtual reality games hopefully could facilitate the recovery of motor functions in stroke patients.
{"title":"Preliminary Results of Hand Rehabilitation for Post Stroke Patient using Leap Motion-based Virtual Reality","authors":"Nurul Fatin Rakib, N. Mahmood, N. Ramli, N. A. Zakaria, M. A. A. Razak","doi":"10.1109/SCOReD50371.2020.9250985","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250985","url":null,"abstract":"This paper introduced a rehabilitation system for the upper limb function of the post stroke patients who involved virtual reality games. Post- stroke patient is needed to perform rehabilitation to improve their hand and finger motion, which were affected from the stroke. Thus a virtual reality hand rehabilitation using Leap Motion sensor integrated with Unity software was developed, which focuses on the hand and finger movement of the patient. There are three games created namely Space game, Cannon game and Piano games in order to evaluate the performance of the users. Data from 10 normal subjects playing each virtual game in one minute has been collected and analysed. The results show that average values of objects can be destroyed by the normal people in Space game, Cannon game and Piano game is 9,23 and 20 respectively. Feedback has been received and these virtual reality games hopefully could facilitate the recovery of motor functions in stroke patients.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123217289","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250954
Yin Qing Tan, Jorene Lim
The study aims to investigate on the association between cognitive performance and genetic variance of DRD2 for the student with different educational background. A total of 77 subjects were recruited with 37 art students and 40 science students. The subjects were required to carry out a cognitive test and blood sample is collected for genetic variance test. Written consent was obtained before the data collection. Genomic DNA was extracted from the blood for PCR. Genotype results revealed that both art and science groups have a similar allelic frequency which indicates that gene does not affect educational preference. The performance of the MCCB cognitive test was analyzed and it did not differ significantly in both groups. Thus, the study result suggested that educational background will not affect the cognitive performance. In addition, there was no significant association between gene and cognitive performance for subjects from different educational background. However, there was a strong positive correlation between the cognition performance of reasoning and problem solving and speed of processing.
{"title":"Association of Cognition Performance and Genetic Variance of DRD2 Taq1A for Science and Art Stream Students","authors":"Yin Qing Tan, Jorene Lim","doi":"10.1109/SCOReD50371.2020.9250954","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250954","url":null,"abstract":"The study aims to investigate on the association between cognitive performance and genetic variance of DRD2 for the student with different educational background. A total of 77 subjects were recruited with 37 art students and 40 science students. The subjects were required to carry out a cognitive test and blood sample is collected for genetic variance test. Written consent was obtained before the data collection. Genomic DNA was extracted from the blood for PCR. Genotype results revealed that both art and science groups have a similar allelic frequency which indicates that gene does not affect educational preference. The performance of the MCCB cognitive test was analyzed and it did not differ significantly in both groups. Thus, the study result suggested that educational background will not affect the cognitive performance. In addition, there was no significant association between gene and cognitive performance for subjects from different educational background. However, there was a strong positive correlation between the cognition performance of reasoning and problem solving and speed of processing.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129287818","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}
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