Pub Date : 2019-04-01DOI: 10.1109/ISCAIE.2019.8743693
Faieza HanumYahaya, Ruhizan Liza Ahmad Shauri, Shahriman Abu Bakar
The paper describes an alternative method to weigh and monitor the health of livestock via BSI. One method is by recording the measured weight for each livestock for daily weight comparison. The farmer needs to manually lift each of the livestock onto the weighing scale, using rope, producing risk of injury to both farmer and livestock. The main purpose of this project is to enhance the existing weight process by developing a weighing scale which is durable, easy to maintain as well as equipped with online database to store the weight of the livestock for monitoring purposes. Hardware consisting of load cell, HX711 and Raspberry Pi while the software will be written using Python programming language and LAMP to create a web server for storing acquired data. The system’s prototype takes accurate and stable reading in experiments simulating a livestock walking onto the weighing platform with an error rate of 0.1kg. Finally, the implementation of this system shall increase farmers productivity as well as redusing risk for injury.
{"title":"Dorper BSI Monitoring with Load Cells and Raspberry PI","authors":"Faieza HanumYahaya, Ruhizan Liza Ahmad Shauri, Shahriman Abu Bakar","doi":"10.1109/ISCAIE.2019.8743693","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743693","url":null,"abstract":"The paper describes an alternative method to weigh and monitor the health of livestock via BSI. One method is by recording the measured weight for each livestock for daily weight comparison. The farmer needs to manually lift each of the livestock onto the weighing scale, using rope, producing risk of injury to both farmer and livestock. The main purpose of this project is to enhance the existing weight process by developing a weighing scale which is durable, easy to maintain as well as equipped with online database to store the weight of the livestock for monitoring purposes. Hardware consisting of load cell, HX711 and Raspberry Pi while the software will be written using Python programming language and LAMP to create a web server for storing acquired data. The system’s prototype takes accurate and stable reading in experiments simulating a livestock walking onto the weighing platform with an error rate of 0.1kg. Finally, the implementation of this system shall increase farmers productivity as well as redusing risk for injury.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115995520","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 : 2019-04-01DOI: 10.1109/ISCAIE.2019.8743803
E. Magsino
The city infrastructure is an integral part of vehicular ad-hoc networks and intelligent transportation systems. One of the key infrastructures is the roadside unit (RSU) which can vastly improve the efficiency and coverage of data dissemination and information exchange in the vehicular network when deployed judiciously. RSU can also provide real-time traffic control, safety and road services to drivers. In this paper, we study how to strategically deploy RSUs in candidate junctions in a city layout by employing findings from taxi GPS traces such as the total daily number of vehicle-to-infrastructure (V2I) contacts, transmissions, transmitted file size, and the average space speed. A Consolidated Weighted Mean Approach, ConsWMA, based from four practical methods for deploying RSUs, is proposed to maximize the amount of V2I contacts. We observe that these mobility traces’ findings, when set as deployment criteria, can reduce the needed number of RSUs to be deployed and the missing V2I contacts. Simulation results show that when nine out of the 40 possible RSU locations are allocated in the first two rings of Beijing City, a 95% daily average V2I contacts is attained, thereby making information dissemination feasible. ConsWMA also provides at least 11% more V2I contacts when compared to two other deployment methods.
{"title":"Employing Mobility Traces’ Findings in Deploying Roadside Units in an Urban Setup","authors":"E. Magsino","doi":"10.1109/ISCAIE.2019.8743803","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743803","url":null,"abstract":"The city infrastructure is an integral part of vehicular ad-hoc networks and intelligent transportation systems. One of the key infrastructures is the roadside unit (RSU) which can vastly improve the efficiency and coverage of data dissemination and information exchange in the vehicular network when deployed judiciously. RSU can also provide real-time traffic control, safety and road services to drivers. In this paper, we study how to strategically deploy RSUs in candidate junctions in a city layout by employing findings from taxi GPS traces such as the total daily number of vehicle-to-infrastructure (V2I) contacts, transmissions, transmitted file size, and the average space speed. A Consolidated Weighted Mean Approach, ConsWMA, based from four practical methods for deploying RSUs, is proposed to maximize the amount of V2I contacts. We observe that these mobility traces’ findings, when set as deployment criteria, can reduce the needed number of RSUs to be deployed and the missing V2I contacts. Simulation results show that when nine out of the 40 possible RSU locations are allocated in the first two rings of Beijing City, a 95% daily average V2I contacts is attained, thereby making information dissemination feasible. ConsWMA also provides at least 11% more V2I contacts when compared to two other deployment methods.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116486189","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 : 2019-04-01DOI: 10.1109/ISCAIE.2019.8743787
Lucimara Fabiana Fornari, I. Pinho, Carla Azevedo de Almeida, A. Costa
This study aims to identify and compare the digital tools used in Systematic Literature Review, type of review commonly used in Qualitative Research. For that, a Systematic Literature Review was carried out with the support of webQDA: Qualitative Data Analysis software. A search in the databases resulted in 745 articles. However, from the inclusion and eligibility criteria of the studies, 22 articles were selected for this research. The results are the 6 of specific digital tools and 3 of qualitative data analysis tools used in the development of Systematic Literature Review. Besides, the study also aimed to understand in which of the 9 steps, that constitute the systematic literature review, if these tools could be used.
{"title":"Systematic Literature Review with Support of Digital Tools","authors":"Lucimara Fabiana Fornari, I. Pinho, Carla Azevedo de Almeida, A. Costa","doi":"10.1109/ISCAIE.2019.8743787","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743787","url":null,"abstract":"This study aims to identify and compare the digital tools used in Systematic Literature Review, type of review commonly used in Qualitative Research. For that, a Systematic Literature Review was carried out with the support of webQDA: Qualitative Data Analysis software. A search in the databases resulted in 745 articles. However, from the inclusion and eligibility criteria of the studies, 22 articles were selected for this research. The results are the 6 of specific digital tools and 3 of qualitative data analysis tools used in the development of Systematic Literature Review. Besides, the study also aimed to understand in which of the 9 steps, that constitute the systematic literature review, if these tools could be used.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131826509","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 : 2019-04-01DOI: 10.1109/ISCAIE.2019.8743993
A. Mz, WFH. Abdullah, Aqmar N.Z.N, R. Radzuan, R. Alip
This paper presents the effect of moving average algorithm incorporated in a potentiostat circuit that acts as a readout interfacing circuit for a 3-electrode cell system. The potentiostat senses redox reaction with an internal Differential Pulse Voltammetry (DPV) electroanalytical technique provided by an ARM Cortex-M microcontroller. The moving average calculation is embedded in the applied microcontroller. Two moving average techniques are compared: Simple Moving Average, (SMA) and Adjacent Averaging, (AA). The objective is to reduce noise during redox reaction current sensing when the potentiostat hardware implementation is constructed using a single microcontroller with open shelf electronics. DPV current properties of 3-electrode cell redox reaction in 10mM of Ferricyanide solution was measured by the designed potentiostat and subjected to moving average to smoothen the data. It is found that even though the real-time moving average techniques are able to reduce noise by 99%, both approaches reduce peak current vs time measured at the output of the potentiostat. The findings provide important information for interpreting sensor behavior accurately based on in-situ measured values.
{"title":"Readout Circuitry Moving Average for Sensing Redox Reaction in 3-electrode Cells","authors":"A. Mz, WFH. Abdullah, Aqmar N.Z.N, R. Radzuan, R. Alip","doi":"10.1109/ISCAIE.2019.8743993","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743993","url":null,"abstract":"This paper presents the effect of moving average algorithm incorporated in a potentiostat circuit that acts as a readout interfacing circuit for a 3-electrode cell system. The potentiostat senses redox reaction with an internal Differential Pulse Voltammetry (DPV) electroanalytical technique provided by an ARM Cortex-M microcontroller. The moving average calculation is embedded in the applied microcontroller. Two moving average techniques are compared: Simple Moving Average, (SMA) and Adjacent Averaging, (AA). The objective is to reduce noise during redox reaction current sensing when the potentiostat hardware implementation is constructed using a single microcontroller with open shelf electronics. DPV current properties of 3-electrode cell redox reaction in 10mM of Ferricyanide solution was measured by the designed potentiostat and subjected to moving average to smoothen the data. It is found that even though the real-time moving average techniques are able to reduce noise by 99%, both approaches reduce peak current vs time measured at the output of the potentiostat. The findings provide important information for interpreting sensor behavior accurately based on in-situ measured values.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121937622","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 : 2019-04-01DOI: 10.1109/ISCAIE.2019.8743825
S. Sá, A. Costa
Qualitative research has increasingly complex research objects and thus the work of analysing and treating corpora data are increasingly more demanding for a single researcher. Therefore, the use of collaborative work among several researchers becomes more and more relevant. The Computer Assisted Qualitative Data Analysis Software (CAQDAS) solutions, namely the webQDA® software, have made this online collaboration easier. The problem of research is the perception of the practice of the collaborative process in content analysis with the help of CAQDAS (webQDA®) software. Three self-reflections were analysed and treated (three Narratives) by three master’s students of pedagogical supervision, who categorized 2301 observation narratives of classes in higher education. The content analysis was handled using webQDA® software. From the emerging categories, it was concluded that: a) time is a factor to be taken into account in the collaborative work, as it reduced the categorization time and b) it is possible to consolidate learning in the qualitative research. This work, despite having a great limitation - a very small sample - serves as a future pedagogical suggestion in order to improve Pedagogical Supervision classes, making them more fruitful, using the collaborative work of webQDA® software in order to increase, in a timely manner, the skills and competences of qualitative researchers in the students.
{"title":"Network data analysis in improving pedagogical supervision with software webQDA","authors":"S. Sá, A. Costa","doi":"10.1109/ISCAIE.2019.8743825","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743825","url":null,"abstract":"Qualitative research has increasingly complex research objects and thus the work of analysing and treating corpora data are increasingly more demanding for a single researcher. Therefore, the use of collaborative work among several researchers becomes more and more relevant. The Computer Assisted Qualitative Data Analysis Software (CAQDAS) solutions, namely the webQDA® software, have made this online collaboration easier. The problem of research is the perception of the practice of the collaborative process in content analysis with the help of CAQDAS (webQDA®) software. Three self-reflections were analysed and treated (three Narratives) by three master’s students of pedagogical supervision, who categorized 2301 observation narratives of classes in higher education. The content analysis was handled using webQDA® software. From the emerging categories, it was concluded that: a) time is a factor to be taken into account in the collaborative work, as it reduced the categorization time and b) it is possible to consolidate learning in the qualitative research. This work, despite having a great limitation - a very small sample - serves as a future pedagogical suggestion in order to improve Pedagogical Supervision classes, making them more fruitful, using the collaborative work of webQDA® software in order to increase, in a timely manner, the skills and competences of qualitative researchers in the students.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"28 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116587690","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 : 2019-04-01DOI: 10.1109/ISCAIE.2019.8743948
M. A. Mazlan, W. Mansor, A. Z. Ahmad Zainuddin
Assistive technology that does not require the use of hands is very useful for disabled people and senior citizens. This paper describes the protocol for controlling the fan speed in real time using EEG. Eye blinks detected from EEG signal were used to represent the intention to control the fan speed. The acquisition of the EEG signal in real time was carried out using two frames and buffer. The fan speed was controlled by detecting the eye blink event in the EEG signal and transferring the control signal to the microcontroller. The algorithm has managed to control the fan speed according to the numbers of eye blink detected.
{"title":"Protocol for Controlling Fan Speed in Real Time via Brain Waves","authors":"M. A. Mazlan, W. Mansor, A. Z. Ahmad Zainuddin","doi":"10.1109/ISCAIE.2019.8743948","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743948","url":null,"abstract":"Assistive technology that does not require the use of hands is very useful for disabled people and senior citizens. This paper describes the protocol for controlling the fan speed in real time using EEG. Eye blinks detected from EEG signal were used to represent the intention to control the fan speed. The acquisition of the EEG signal in real time was carried out using two frames and buffer. The fan speed was controlled by detecting the eye blink event in the EEG signal and transferring the control signal to the microcontroller. The algorithm has managed to control the fan speed according to the numbers of eye blink detected.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116167447","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 : 2019-04-01DOI: 10.1109/ISCAIE.2019.8743906
I. M. Hakim, David Christover, Adi Mahmud Jaya Marindra
In highly populated cities, finding available car parking slots is time consuming and may cause severe traffic congestions at the parking entrance. Therefore, a smart parking system with automated car detection is required so that the car drivers would have minimum effort and time to access the available parking location. This paper presents an implementation of image processing based smart parking system using Haar-Cascade method. The aim of this project is to develop a smart parking system on a single-board computer and a camera installed at a parking area. The image processing for car detection is performed on Raspberry Pi interfaced with the Firebase cloud platform through an API. The system posts the data to the Firebase channel, enabling an Internet of Things (IoT) based parking system. A mobile application is developed for visualization and hence the data is accessible through the car driver’s phone. The system was tested at a simple parking lot with a line of car slots. The experimental results with different condition of parking areas and different camera view angles are discussed in the paper.
{"title":"Implementation of an Image Processing based Smart Parking System using Haar-Cascade Method","authors":"I. M. Hakim, David Christover, Adi Mahmud Jaya Marindra","doi":"10.1109/ISCAIE.2019.8743906","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743906","url":null,"abstract":"In highly populated cities, finding available car parking slots is time consuming and may cause severe traffic congestions at the parking entrance. Therefore, a smart parking system with automated car detection is required so that the car drivers would have minimum effort and time to access the available parking location. This paper presents an implementation of image processing based smart parking system using Haar-Cascade method. The aim of this project is to develop a smart parking system on a single-board computer and a camera installed at a parking area. The image processing for car detection is performed on Raspberry Pi interfaced with the Firebase cloud platform through an API. The system posts the data to the Firebase channel, enabling an Internet of Things (IoT) based parking system. A mobile application is developed for visualization and hence the data is accessible through the car driver’s phone. The system was tested at a simple parking lot with a line of car slots. The experimental results with different condition of parking areas and different camera view angles are discussed in the paper.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"6 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133780735","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 : 2019-04-01DOI: 10.1109/ISCAIE.2019.8743776
K. Gwak, Young J. Rho
Machine learning (ML) is expending its application in many practical areas such as image recognition, natural language processing, games, etc. Simulated modeling of gas diffusion can be one of the applications. This experimental research was designed to know the potential of machine learning methods in modeling CO2 gas dispersion. Dispersion data of gases can be collected with sensing devices so that ML-based techniques can be applied to simulate the diffusion. In this study, three methods were explored and compared; linear interpolation, Multi-Layer Perceptron (MLP) and Deep Multi-Layer Perceptron (DLP). A set of experiments was conducted to collect dispersion data of CO2 gas. The experiments were executed in a wide room with two doors and eight windows that are enough to refresh the room air. Three sets of data were collected for learning and one set for testing. The Root Mean Square Deviation (RMSD) was applied to compare the three methods. The DLP method showed the lowest RMSD comparing with real test data, the linear interpolation the next and the MLP the last.CCS Concepts•Computing methodologies ~Machine learning•Applied computing~Environmental sciences
{"title":"Experimental Machine Learning Study on CO2 Gas Dispersion","authors":"K. Gwak, Young J. Rho","doi":"10.1109/ISCAIE.2019.8743776","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743776","url":null,"abstract":"Machine learning (ML) is expending its application in many practical areas such as image recognition, natural language processing, games, etc. Simulated modeling of gas diffusion can be one of the applications. This experimental research was designed to know the potential of machine learning methods in modeling CO2 gas dispersion. Dispersion data of gases can be collected with sensing devices so that ML-based techniques can be applied to simulate the diffusion. In this study, three methods were explored and compared; linear interpolation, Multi-Layer Perceptron (MLP) and Deep Multi-Layer Perceptron (DLP). A set of experiments was conducted to collect dispersion data of CO2 gas. The experiments were executed in a wide room with two doors and eight windows that are enough to refresh the room air. Three sets of data were collected for learning and one set for testing. The Root Mean Square Deviation (RMSD) was applied to compare the three methods. The DLP method showed the lowest RMSD comparing with real test data, the linear interpolation the next and the MLP the last.CCS Concepts•Computing methodologies ~Machine learning•Applied computing~Environmental sciences","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121472208","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 : 2019-04-01DOI: 10.1109/ISCAIE.2019.8743865
Nazeb Zurati, S. Abdullah, F. Zaman, H. Z. Abidin, Z. H. C. Soh
There is a lack of data for speed-reading level in Bahasa Malaysia for young people, which refers to individuals between ages 10 and 24. The information is needed by the National Book Council of Malaysia (NBCM) to assess reading frequencies of young people, correlated using speed-reading tests. Hence, a mobile app for speed-reading test in Bahasa Malaysia called Bacalaju has been developed. Applying Progressive Web Application (PWA) that uses front-end website technology, an Android app is generated by compiling the code with Android SDK (Software Development Kit). After the user took their speed-reading test, the result will be transferred via Asynchronous JavaScript And XML (AJAX) POST request and stored in a database on the cloud. The mobile app is seen to benefit young readers in Malaysia because it enables users to evaluate their reading skills and encourage them to improve the skills, i.e. speed-reading level and comprehension. At the same time, a website was developed to display the overall result, preliminary result indicated that 37.8% of 98 users involved in this study has both good speed-reading level based on the Taylor Grade Equivalent units and able to score more than 50% in their comprehension test.
目前缺乏针对10岁至24岁的年轻人的马来语快速阅读水平的数据。马来西亚国家图书委员会(NBCM)需要这些信息来评估年轻人的阅读频率，并与快速阅读测试相关联。因此，开发了一款名为Bacalaju的马来语快速阅读测试手机应用程序。采用PWA (Progressive Web Application)技术，采用前端网站技术，使用Android SDK (Software Development Kit)对代码进行编译，生成Android应用程序。在用户完成他们的快速阅读测试后，结果将通过异步JavaScript和XML (AJAX) POST请求传输并存储在云上的数据库中。这款手机应用程序被认为有利于马来西亚的年轻读者，因为它使用户能够评估他们的阅读技能，并鼓励他们提高技能，即快速阅读水平和理解能力。同时，开发了一个网站来显示整体结果，初步结果表明，参与本研究的98名用户中，37.8%的用户在Taylor Grade Equivalent units的基础上既有良好的快速阅读水平，又能在理解测试中获得50%以上的分数。
{"title":"Mobile App For Speed Reading Test In Bahasa Malaysia","authors":"Nazeb Zurati, S. Abdullah, F. Zaman, H. Z. Abidin, Z. H. C. Soh","doi":"10.1109/ISCAIE.2019.8743865","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743865","url":null,"abstract":"There is a lack of data for speed-reading level in Bahasa Malaysia for young people, which refers to individuals between ages 10 and 24. The information is needed by the National Book Council of Malaysia (NBCM) to assess reading frequencies of young people, correlated using speed-reading tests. Hence, a mobile app for speed-reading test in Bahasa Malaysia called Bacalaju has been developed. Applying Progressive Web Application (PWA) that uses front-end website technology, an Android app is generated by compiling the code with Android SDK (Software Development Kit). After the user took their speed-reading test, the result will be transferred via Asynchronous JavaScript And XML (AJAX) POST request and stored in a database on the cloud. The mobile app is seen to benefit young readers in Malaysia because it enables users to evaluate their reading skills and encourage them to improve the skills, i.e. speed-reading level and comprehension. At the same time, a website was developed to display the overall result, preliminary result indicated that 37.8% of 98 users involved in this study has both good speed-reading level based on the Taylor Grade Equivalent units and able to score more than 50% in their comprehension test.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121269720","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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