Masashi Sugimoto, Shunsuke Inada, Haruka Matsufuji, S. Urushihara, Kazunori Hosotani, Manabu Kato, Hitoshi Sori, S. Tsuzuki, Hiroyuki Inoue
{"title":"An Experimental Study for Exploration-oriented Behavior in Maze-solving\u0000using Reinforcement Learning based on Communication Protocol","authors":"Masashi Sugimoto, Shunsuke Inada, Haruka Matsufuji, S. Urushihara, Kazunori Hosotani, Manabu Kato, Hitoshi Sori, S. Tsuzuki, Hiroyuki Inoue","doi":"10.17781/p002612","DOIUrl":"https://doi.org/10.17781/p002612","url":null,"abstract":"","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129333721","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}
M. Amanullah, Khalid Mohanna Sarah Afaq Ayyub Patel
Assessment over the electronic media has been questioned for its validity and sensitivity, especially for the purpose of evaluating a student at the university level, though not for competitive exams. On-screen visibility, readability and interpretation during an exam are under cynicism as compared to paper. We have undertaken the evaluation of the effectiveness of on-screen examinations in comparison to pen and paper exams. Both on-screen and on-paper exams were conducted during November 2013, enrolling 180 students. These were divided into 61 male students taking an on-paper exam, immediately followed by the onscreen exam with the same set of questions. Similarly a batch of 57 girl students took an initial exam onpaper and then the same questions were displayed on the screen. 31 students were given on-screen exam only, and yet another 31 students took on-paper exams only. Comparing the results obtained various exams conducted indicated that there was considerable distraction among first year medical students over the on-screen exams. The scores obtained were graded as "A" for 90-100% marks, "B", "C", "D" and "F" for 80-89%, 70-79%, 60-69% and 0-60% respectively. Hogana (2007) formulae was used to calculate the distraction index (DI) wherein the % of students scoring highest grade was subtracted with the % of students scoring lowest grade. Distraction by the students in a particular exam was assessed by a negative value of DI and vice-versa. A remarkable distraction in the on-screen exams with a DI of -33 between on-paper and onscreen exams was observed. 29% of the students scored "A" grade in the on-paper exam whereas in the on-screen exam only 19% were able to obtain this grade. Analysis of the date about students failing ("F" grade) in the exam revealed that only 3% of students failed in the on-paper exam as compared to 26% in the on-screen exam. More time was taken by the students for completing the exam on-screen which was 46 minutes as compared to on-paper exam, where the average time taken to complete the exam was only 36 minutes. In conclusion we can say that there will definitely be some degree of distraction during the on-screen exams as compared to on-paper exams. More studies are needed to conclude the exact degree of distraction over the onscreen exams with a wide population of universal students.
{"title":"Are First Year Medical Students Distracted by On-Screen Exams in Relation to On- Paper Exams","authors":"M. Amanullah, Khalid Mohanna Sarah Afaq Ayyub Patel","doi":"10.17781/P008","DOIUrl":"https://doi.org/10.17781/P008","url":null,"abstract":"Assessment over the electronic media has been questioned for its validity and sensitivity, especially for the purpose of evaluating a student at the university level, though not for competitive exams. On-screen visibility, readability and interpretation during an exam are under cynicism as compared to paper. We have undertaken the evaluation of the effectiveness of on-screen examinations in comparison to pen and paper exams. Both on-screen and on-paper exams were conducted during November 2013, enrolling 180 students. These were divided into 61 male students taking an on-paper exam, immediately followed by the onscreen exam with the same set of questions. Similarly a batch of 57 girl students took an initial exam onpaper and then the same questions were displayed on the screen. 31 students were given on-screen exam only, and yet another 31 students took on-paper exams only. Comparing the results obtained various exams conducted indicated that there was considerable distraction among first year medical students over the on-screen exams. The scores obtained were graded as \"A\" for 90-100% marks, \"B\", \"C\", \"D\" and \"F\" for 80-89%, 70-79%, 60-69% and 0-60% respectively. Hogana (2007) formulae was used to calculate the distraction index (DI) wherein the % of students scoring highest grade was subtracted with the % of students scoring lowest grade. Distraction by the students in a particular exam was assessed by a negative value of DI and vice-versa. A remarkable distraction in the on-screen exams with a DI of -33 between on-paper and onscreen exams was observed. 29% of the students scored \"A\" grade in the on-paper exam whereas in the on-screen exam only 19% were able to obtain this grade. Analysis of the date about students failing (\"F\" grade) in the exam revealed that only 3% of students failed in the on-paper exam as compared to 26% in the on-screen exam. More time was taken by the students for completing the exam on-screen which was 46 minutes as compared to on-paper exam, where the average time taken to complete the exam was only 36 minutes. In conclusion we can say that there will definitely be some degree of distraction during the on-screen exams as compared to on-paper exams. More studies are needed to conclude the exact degree of distraction over the onscreen exams with a wide population of universal students.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129753341","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}
Muhammad Baballe Ahmad, A. Abdullahi, A. Muhammad, Y. Saleh, U. Usman
{"title":"The Various Types of sensors used in the Security Alarm system","authors":"Muhammad Baballe Ahmad, A. Abdullahi, A. Muhammad, Y. Saleh, U. Usman","doi":"10.17781/p002618","DOIUrl":"https://doi.org/10.17781/p002618","url":null,"abstract":"","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123138624","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}
Image processing is a computational operation that requires many CPU cycles for simple image transformation. It takes every pixel of an image to perform a transformation to a new image. The image can be divided into smaller chunks, with same transformation operations being implemented on each. Thus, image processing is a good candidate for running on a parallel processor to improve the speed of computation when there are multiple images to be processed. In fact, this research focuses on Canny edge detection as a case study of probing parallelism. This work presents the design and implementation of sequential and parallel edge detection algorithms that are capable of producing high-quality results and performing at high speed. Therefore, this research aims to improve the Canny edge detection algorithm in terms of speed and scalability with different sizes of images. The algorithm is implemented using parallel clusters on KACST’s SANAM supercomputer. It is found that there is a valuable gained speedup with respect to the sequential version.In addition, it is found that more parallelism is explored in larger image sizes with Canny edge detector.
{"title":"Acceleration of Canny Edge Detection Algorithm Using Parallel Clusters","authors":"Njood S. Alassmi, S. S. Zaghloul","doi":"10.17781/P002370","DOIUrl":"https://doi.org/10.17781/P002370","url":null,"abstract":"Image processing is a computational operation that requires many CPU cycles for simple image transformation. It takes every pixel of an image to perform a transformation to a new image. The image can be divided into smaller chunks, with same transformation operations being implemented on each. Thus, image processing is a good candidate for running on a parallel processor to improve the speed of computation when there are multiple images to be processed. In fact, this research focuses on Canny edge detection as a case study of probing parallelism. This work presents the design and implementation of sequential and parallel edge detection algorithms that are capable of producing high-quality results and performing at high speed. Therefore, this research aims to improve the Canny edge detection algorithm in terms of speed and scalability with different sizes of images. The algorithm is implemented using parallel clusters on KACST’s SANAM supercomputer. It is found that there is a valuable gained speedup with respect to the sequential version.In addition, it is found that more parallelism is explored in larger image sizes with Canny edge detector.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132961408","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}
Software testing is one of the important steps of SDLC. In software testing one of the important issues is how to allocate the limited resources so that we finish our testing on time and will deliver quality software. Number of Software Reliability Growth Models (SRGM) has been developed for allocating the testing resource in the past three decades but majority of models are developed in static environment. In this paper we developed model in a dynamic environment and also the software is divided into different modules. We also used Pontryagin Maximum principle for solving the model. At last one numerical example is solved for allocating the resource for a given module. For allocating resource optimally we used Genetic Algorithm (GA). GA is used as a powerful tool for solving search & optimization kind of problems.
{"title":"TESTING RESOURCE ALLOCATION FOR MODULAR SOFTWARE USING GENETIC ALGORITHM","authors":"M. Nasar, P. Johri","doi":"10.17781/p001647","DOIUrl":"https://doi.org/10.17781/p001647","url":null,"abstract":"Software testing is one of the important steps of SDLC. In software testing one of the important issues is how to allocate the limited resources so that we finish our testing on time and will deliver quality software. Number of Software Reliability Growth Models (SRGM) has been developed for allocating the testing resource in the past three decades but majority of models are developed in static environment. In this paper we developed model in a dynamic environment and also the software is divided into different modules. We also used Pontryagin Maximum principle for solving the model. At last one numerical example is solved for allocating the resource for a given module. For allocating resource optimally we used Genetic Algorithm (GA). GA is used as a powerful tool for solving search & optimization kind of problems.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122435205","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}
In the domain of Human Computer Interaction (HCI), the communication between humans and software is an ongoing challenge. On the one hand, humans have growing needs and expectations. On the other hand, software has more advanced features and functionalities. This dual complexity growth results in difficulty in interaction. User interface is the battleground where sophisticated cognitive demands need to be resolved between the user and the software for effective communication. When interaction involves big data retrieval, communication often takes the form of software displaying data, and users comprehending their meaning, then requesting more date, or requesting some processing to be applied on
{"title":"APPLICATION-AGNOSTIC INTERACTIVE DATA: MANAGING HCI COMPLEXITY AT THE SOURCE","authors":"A. Gaffar","doi":"10.17781/P001","DOIUrl":"https://doi.org/10.17781/P001","url":null,"abstract":"In the domain of Human Computer Interaction (HCI), the communication between humans and software is an ongoing challenge. On the one hand, humans have growing needs and expectations. On the other hand, software has more advanced features and functionalities. This dual complexity growth results in difficulty in interaction. User interface is the battleground where sophisticated cognitive demands need to be resolved between the user and the software for effective communication. When interaction involves big data retrieval, communication often takes the form of software displaying data, and users comprehending their meaning, then requesting more date, or requesting some processing to be applied on","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127762097","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}
Image processing is a computational operation that requires many CPU cycles for simple image transformation. It takes every pixel of an image to perform a transformation to a new image. The image can be divided into smaller chunks, with same transformation operations being implemented on each. Thus, image processing is a good candidate for running on a parallel processor to improve the speed of computation when there are multiple images to be processed. In fact, this research focuses on Canny edge detection as a case study of probing parallelism. This work presents the design and implementation of sequential and parallel edge detection algorithms that are capable of producing high-quality results and performing at high speed. Therefore, this research aims to improve the Canny edge detection algorithm in terms of speed and scalability with different sizes of images. The algorithm is implemented using Java language with the Parallel Java library. In the first phase of the project, the Canny is implemented on a sharedmemory processor. It is found that there is a valuable gained speedup with respect to the sequential version. In addition, it is found that more parallelism is explored in larger image sizes with Canny edge detector.
{"title":"Speeding Up Canny Edge Detection Using Shared Memory Processing","authors":"S. S. Zaghloul, Njood S. Alassmi","doi":"10.17781/P002313","DOIUrl":"https://doi.org/10.17781/P002313","url":null,"abstract":"Image processing is a computational operation that requires many CPU cycles for simple image transformation. It takes every pixel of an image to perform a transformation to a new image. The image can be divided into smaller chunks, with same transformation operations being implemented on each. Thus, image processing is a good candidate for running on a parallel processor to improve the speed of computation when there are multiple images to be processed. In fact, this research focuses on Canny edge detection as a case study of probing parallelism. This work presents the design and implementation of sequential and parallel edge detection algorithms that are capable of producing high-quality results and performing at high speed. Therefore, this research aims to improve the Canny edge detection algorithm in terms of speed and scalability with different sizes of images. The algorithm is implemented using Java language with the Parallel Java library. In the first phase of the project, the Canny is implemented on a sharedmemory processor. It is found that there is a valuable gained speedup with respect to the sequential version. In addition, it is found that more parallelism is explored in larger image sizes with Canny edge detector.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127599260","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}
{"title":"Forecasting of HOSR for Different Mobile Carriers in Kano Using Conventional and Intelligent Techniques","authors":"S. B. Abdullahi","doi":"10.17781/p002599","DOIUrl":"https://doi.org/10.17781/p002599","url":null,"abstract":"","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"391 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124781028","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}
Monitoring and control of soil parameters such as temperature, moisture and micronutrients play an important role in producing quality horticulture crops. The farms at Pwani Region needed close monitoring and control of soil parameters because the type of soil in this place is alluvial which can drain water and loose macronutrients easily. Recently Wireless Sensor Network (WSN) has been used to monitors soil parameters, however many systems developed from existing frameworks were unable to meet requirements for small and medium scale horticulture farmers. This paper addresses the challenges mentioned above and provides solution that fits the left gap by improving previous frameworks. The gap was identified after comparing different WSN related technologies and requirements obtained from experts and farmers. The framework designed from this information was used to develop WSN system which can be easily used by farmers of different levels of education.
{"title":"A FRAMEWORK FOR DEPLOYMENT OF EASY TO USE WIRELESS SENSOR NETWORKS FOR FARM SOIL MONITORING AND CONTROL: A CASE STUDY OF HORTICULTURE FARMS IN PWANI REGION TANZANIA","authors":"Kosmas Kapis, Mathias Ombeni","doi":"10.17781/p001927","DOIUrl":"https://doi.org/10.17781/p001927","url":null,"abstract":"Monitoring and control of soil parameters such as temperature, moisture and micronutrients play an important role in producing quality horticulture crops. The farms at Pwani Region needed close monitoring and control of soil parameters because the type of soil in this place is alluvial which can drain water and loose macronutrients easily. Recently Wireless Sensor Network (WSN) has been used to monitors soil parameters, however many systems developed from existing frameworks were unable to meet requirements for small and medium scale horticulture farmers. This paper addresses the challenges mentioned above and provides solution that fits the left gap by improving previous frameworks. The gap was identified after comparing different WSN related technologies and requirements obtained from experts and farmers. The framework designed from this information was used to develop WSN system which can be easily used by farmers of different levels of education.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123560443","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}
Robots that works in a dynamic environment must possess, the ability to autonomously cope with the changes in the environment. This paper proposes an approach to predict changes in the state and actions of robots. Further, this approach attempts to apply predicted future actions to current actions. This method predicts the robot’s state and action for the distant future using the states that the robot adopts repeatedly. Using this method, the actions that the robot will take in the future can be predicted. The method proposed in this paper predicts the state and action of a robot each time it decides to perform an action. In particular, this paper focuses on defining weight coefficients, using the characteristics of the future prediction results. Using this method, the compensatory current action will be obtained. This paper presents the results of our study and discusses methods that allow the robot to quickly determine its most desirable action, using state prediction and optimal control methods.
{"title":"FUTURE MOTION DECISIONS USING STATE-ACTION PAIR PREDICTIONS","authors":"Masashi Sugimoto, K. Kurashige","doi":"10.17781/p001896","DOIUrl":"https://doi.org/10.17781/p001896","url":null,"abstract":"Robots that works in a dynamic environment must possess, the ability to autonomously cope with the changes in the environment. This paper proposes an approach to predict changes in the state and actions of robots. Further, this approach attempts to apply predicted future actions to current actions. This method predicts the robot’s state and action for the distant future using the states that the robot adopts repeatedly. Using this method, the actions that the robot will take in the future can be predicted. The method proposed in this paper predicts the state and action of a robot each time it decides to perform an action. In particular, this paper focuses on defining weight coefficients, using the characteristics of the future prediction results. Using this method, the compensatory current action will be obtained. This paper presents the results of our study and discusses methods that allow the robot to quickly determine its most desirable action, using state prediction and optimal control methods.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"548 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134350201","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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