Pub Date : 2019-11-01DOI: 10.1109/ICTKE47035.2019.8966883
Kreadtisak Lappanitchayakul
This research studied the preparedness of graduate students from the Information Systems Program, Faculty of Business Administration, Rajamangala University of Technology Phra Nakhon, Bangkok, Thailand to fulfill the demand of the labor market. The evaluation results of the graduates' preparedness was at a moderate level, so only 37.97% of the students became employed in a position related to their field of study. This was possibly caused by the rapid changes of information technology, so the requirement of the University's curriculum to be revised every five years might not correspond with the ongoing changes.
{"title":"The study of readiness in graduates production of Faculty of Business Administration, Rajamangala University of Technology Phra Nakhon to support the entering into Thailand 4.0","authors":"Kreadtisak Lappanitchayakul","doi":"10.1109/ICTKE47035.2019.8966883","DOIUrl":"https://doi.org/10.1109/ICTKE47035.2019.8966883","url":null,"abstract":"This research studied the preparedness of graduate students from the Information Systems Program, Faculty of Business Administration, Rajamangala University of Technology Phra Nakhon, Bangkok, Thailand to fulfill the demand of the labor market. The evaluation results of the graduates' preparedness was at a moderate level, so only 37.97% of the students became employed in a position related to their field of study. This was possibly caused by the rapid changes of information technology, so the requirement of the University's curriculum to be revised every five years might not correspond with the ongoing changes.","PeriodicalId":442255,"journal":{"name":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123429871","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 : 2019-11-01DOI: 10.1109/ICTKE47035.2019.8966820
Nuntiya Kruethi, S. Chaijit, W. Permpoonsinsup, Dechathanat Thongkot, A. Ismail, P. Srinoi
Economic competitiveness is recently obligatory to the manufacturing companies. The cost reduction activity has become main focus from the managements. The continuously increasing labor cost every year has a direct impact on production costs. There are efforts to increase the efficiency of labor to get higher productivity. Investment in production technology is an alternative that is often used to improve production processes. However, such investments may require a lot of investment capital. Presenting information to support management decisions is therefore very necessary. Simulation-based models are proven beneficial when dealing with investors. In this study, FlexSim 3D simulation software was used to analyze the production process and the comparison and evaluation results between the existing process and proposed process in term of throughput, productivity, number of workers and the working efficiency are presented.
{"title":"Simulation modelling for productivity improvement of sorting process in a ceramic plant","authors":"Nuntiya Kruethi, S. Chaijit, W. Permpoonsinsup, Dechathanat Thongkot, A. Ismail, P. Srinoi","doi":"10.1109/ICTKE47035.2019.8966820","DOIUrl":"https://doi.org/10.1109/ICTKE47035.2019.8966820","url":null,"abstract":"Economic competitiveness is recently obligatory to the manufacturing companies. The cost reduction activity has become main focus from the managements. The continuously increasing labor cost every year has a direct impact on production costs. There are efforts to increase the efficiency of labor to get higher productivity. Investment in production technology is an alternative that is often used to improve production processes. However, such investments may require a lot of investment capital. Presenting information to support management decisions is therefore very necessary. Simulation-based models are proven beneficial when dealing with investors. In this study, FlexSim 3D simulation software was used to analyze the production process and the comparison and evaluation results between the existing process and proposed process in term of throughput, productivity, number of workers and the working efficiency are presented.","PeriodicalId":442255,"journal":{"name":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"142 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124284004","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}
The smart parking occupancy detection system is a technology which aims to mitigate the traffic congestion problems by reducing time for drivers to look for vacancy positions in car parking lots and providing efficient parking space utilization. Several reports have shown that the smart parking system not only alleviates traffic problems but also drives business growth and economic development within that neighborhood. In this paper, we propose a computer vision-based smart parking lot occupancy detection system employing low-complexity deep neural network architecture. A smart camera system which consists of a Raspberry Pi 3 attached to a camera utilizes a reduced-complexity deep neural network model to detect vacancy positions. We train and cross-validate our model using PKLot-Val dataset and test the performance of our model using PKLot-Test and SWUpark datasets. SWUpark dataset has been created in the context of this research, accumulating visual information of parking lots at Srinakharinwirot University across several weather conditions. Through exhaustive hyperparameter tuning and stochastic gradient descent optimization, our model achieves 88% accuracy, almost 15% higher than those obtained from state-of-the-art approach.
{"title":"A Camera-based Smart Parking System Employing Low-complexity Deep Learning for Outdoor Environments","authors":"Chantri Polprasert, Chaiyaboon Sruayiam, Prathan Pisawongprakan, Sirapob Teravetchakarn","doi":"10.1109/ICTKE47035.2019.8966901","DOIUrl":"https://doi.org/10.1109/ICTKE47035.2019.8966901","url":null,"abstract":"The smart parking occupancy detection system is a technology which aims to mitigate the traffic congestion problems by reducing time for drivers to look for vacancy positions in car parking lots and providing efficient parking space utilization. Several reports have shown that the smart parking system not only alleviates traffic problems but also drives business growth and economic development within that neighborhood. In this paper, we propose a computer vision-based smart parking lot occupancy detection system employing low-complexity deep neural network architecture. A smart camera system which consists of a Raspberry Pi 3 attached to a camera utilizes a reduced-complexity deep neural network model to detect vacancy positions. We train and cross-validate our model using PKLot-Val dataset and test the performance of our model using PKLot-Test and SWUpark datasets. SWUpark dataset has been created in the context of this research, accumulating visual information of parking lots at Srinakharinwirot University across several weather conditions. Through exhaustive hyperparameter tuning and stochastic gradient descent optimization, our model achieves 88% accuracy, almost 15% higher than those obtained from state-of-the-art approach.","PeriodicalId":442255,"journal":{"name":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125073683","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 : 2019-11-01DOI: 10.1109/ICTKE47035.2019.8966878
Kazuki Konda, Yoshiro Yamamoto
Nippon Professional Baseball is played annually by 12 teams from March to October at various baseball fields from Hokkaido to Okinawa at temperatures ranging from under 0 °C to over 30 °C. In this study, we aim to analyze the relationship between temperature and batting evaluation metrics, including Batting Average, Slugging percentage, Isolated power, Batting Average on Balls In Play, weighted On-Base Average, Homerun percentage, On-Base Percentage, Strikeout percentage, Walk percentage, and Error play percentage. We used baseball data from 2,574 matches spanning from 2016 to 2018 official seasons. Temperature data was observed by the Himawari 8 geostationary meteorological satellite and was classified as “Warm,” “Average-High,” “Average-Low,” and “Cold.” We tested the metrics in each classification, and the result shows that some metrics were significantly different. Finally, this study discussed how to use the analysis results.
{"title":"Analysis of the Impact of Temperature on Nippon Professional Baseball","authors":"Kazuki Konda, Yoshiro Yamamoto","doi":"10.1109/ICTKE47035.2019.8966878","DOIUrl":"https://doi.org/10.1109/ICTKE47035.2019.8966878","url":null,"abstract":"Nippon Professional Baseball is played annually by 12 teams from March to October at various baseball fields from Hokkaido to Okinawa at temperatures ranging from under 0 °C to over 30 °C. In this study, we aim to analyze the relationship between temperature and batting evaluation metrics, including Batting Average, Slugging percentage, Isolated power, Batting Average on Balls In Play, weighted On-Base Average, Homerun percentage, On-Base Percentage, Strikeout percentage, Walk percentage, and Error play percentage. We used baseball data from 2,574 matches spanning from 2016 to 2018 official seasons. Temperature data was observed by the Himawari 8 geostationary meteorological satellite and was classified as “Warm,” “Average-High,” “Average-Low,” and “Cold.” We tested the metrics in each classification, and the result shows that some metrics were significantly different. Finally, this study discussed how to use the analysis results.","PeriodicalId":442255,"journal":{"name":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131337157","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 : 2019-11-01DOI: 10.1109/ICTKE47035.2019.8966863
Wattanawong Romsai, A. Nawikavatan
This paper presents an optimal proportional-integral-derivative-accelerated (PIDA) controller design for a quarter car suspension system to improve the ride comfort and road handling. Based on the modern optimization, the proposed PIDA controller design framework is based on the intensified current search (ICuS) optimization which is one of the most efficient trajectory-based metaheuristic optimization techniques. By comparison, a passive quarter car suspension system controlled by the PID and PIDA controllers optimized by the ICuS are tested against four different road profiles, i.e. bumpy road, pothole road, ramp road and random road. As results, the PIDA controller can provide very satisfactory responses with smoother and faster than the PID controller, significantly.
{"title":"Optimal PIDA Controller Design for Quarter Car Suspension System by Intensified Current Search","authors":"Wattanawong Romsai, A. Nawikavatan","doi":"10.1109/ICTKE47035.2019.8966863","DOIUrl":"https://doi.org/10.1109/ICTKE47035.2019.8966863","url":null,"abstract":"This paper presents an optimal proportional-integral-derivative-accelerated (PIDA) controller design for a quarter car suspension system to improve the ride comfort and road handling. Based on the modern optimization, the proposed PIDA controller design framework is based on the intensified current search (ICuS) optimization which is one of the most efficient trajectory-based metaheuristic optimization techniques. By comparison, a passive quarter car suspension system controlled by the PID and PIDA controllers optimized by the ICuS are tested against four different road profiles, i.e. bumpy road, pothole road, ramp road and random road. As results, the PIDA controller can provide very satisfactory responses with smoother and faster than the PID controller, significantly.","PeriodicalId":442255,"journal":{"name":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128661884","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 : 2019-11-01DOI: 10.1109/ICTKE47035.2019.8966914
Nuntiya Kruethi, S. Chaijit, W. Permpoonsinsup, Dechathanat Thongkot, A. Ismail, P. Srinoi
In recent years, robots have been widely used to replace human labors in the manufacturing factories. In addition to use robots to work in hazardous areas on behalf of people, there are other objectives, including to ensure consistent quality, working continuously, reducing production costs to while increasing the ability to compete in the market. However, due to the high investment in robots, the most efficient operation is a strict consideration. Simulation of process improvement activities especially the robot-based production process is a subject of great interested. In this study, a simulation software, namely Flexsim is used to determine the painting process by robot to maximize productivity, reduce labor and production time for ceramic plate production. The comparison of engineering economics result was used as an indicator to select the best project.
{"title":"A Simulation Model to Improve the Efficiency of Painting Robots and Applied an Engineering Economic for Project Selection","authors":"Nuntiya Kruethi, S. Chaijit, W. Permpoonsinsup, Dechathanat Thongkot, A. Ismail, P. Srinoi","doi":"10.1109/ICTKE47035.2019.8966914","DOIUrl":"https://doi.org/10.1109/ICTKE47035.2019.8966914","url":null,"abstract":"In recent years, robots have been widely used to replace human labors in the manufacturing factories. In addition to use robots to work in hazardous areas on behalf of people, there are other objectives, including to ensure consistent quality, working continuously, reducing production costs to while increasing the ability to compete in the market. However, due to the high investment in robots, the most efficient operation is a strict consideration. Simulation of process improvement activities especially the robot-based production process is a subject of great interested. In this study, a simulation software, namely Flexsim is used to determine the painting process by robot to maximize productivity, reduce labor and production time for ceramic plate production. The comparison of engineering economics result was used as an indicator to select the best project.","PeriodicalId":442255,"journal":{"name":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127172489","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}
Recidivism is an important issue in imprisonment and probation processes. The aims of this research are to find crucial factors for predicting recidivism to drug distribution and to investigate the power of machine learning for the recidivism prediction. Our proposed approach employed a data set containing 598 inmates to establish and evaluate a feature selection algorithm and machine learning-based recidivism models. The experimental results show that almost recidivism prediction models with selected factors perform better than or equal to the models with all factors. Additionally, the results point out top four important factors composed of royal pardons or suspension, first offending age, encouragement of family members, and frequency of substance use. This concludes that machine learning techniques with the help of a feature selection algorithm can be a promising approach for the recidivism prediction in which the government can exploit to find a suitable prison rehabilitation program.
{"title":"Predicting Recidivism to Drug Distribution using Machine Learning Techniques","authors":"Nuttawit Butsara, Panchan Athonthitichot, Pichai Jodpimai","doi":"10.1109/ICTKE47035.2019.8966834","DOIUrl":"https://doi.org/10.1109/ICTKE47035.2019.8966834","url":null,"abstract":"Recidivism is an important issue in imprisonment and probation processes. The aims of this research are to find crucial factors for predicting recidivism to drug distribution and to investigate the power of machine learning for the recidivism prediction. Our proposed approach employed a data set containing 598 inmates to establish and evaluate a feature selection algorithm and machine learning-based recidivism models. The experimental results show that almost recidivism prediction models with selected factors perform better than or equal to the models with all factors. Additionally, the results point out top four important factors composed of royal pardons or suspension, first offending age, encouragement of family members, and frequency of substance use. This concludes that machine learning techniques with the help of a feature selection algorithm can be a promising approach for the recidivism prediction in which the government can exploit to find a suitable prison rehabilitation program.","PeriodicalId":442255,"journal":{"name":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132850599","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 : 2019-11-01DOI: 10.1109/ICTKE47035.2019.8966827
Mark Kristian C. Ledda, B. Gerardo, A. Hernandez
Data security is an important issue and cryptographic algorithms are essential parts in security. IDEA is a symmetric block cipher and the fundamental innovation in the design is the use of operations from three different algebraic groups. The interaction of different group operations contributes to the confusion required for a secure cipher. However, IDEA has weak key classes which hindered in the faultless security of the data. Some keys containing a large number of 0 bits produce weak encryption. The encryption process of the algorithm is not enough to ensure the security against brute force attack. Circular shift and middle square method are proposed to enhance the algorithmic complexity of IDEA. The proposed enhancement will cover the number of rounds, bit adjustment, shifting, during the encryption and decryption phase. Combining middle square method and circular shift improves the randomness and promotes good diffusion.
{"title":"Enhancing IDEA Algorithm using Circular Shift and Middle Square Method","authors":"Mark Kristian C. Ledda, B. Gerardo, A. Hernandez","doi":"10.1109/ICTKE47035.2019.8966827","DOIUrl":"https://doi.org/10.1109/ICTKE47035.2019.8966827","url":null,"abstract":"Data security is an important issue and cryptographic algorithms are essential parts in security. IDEA is a symmetric block cipher and the fundamental innovation in the design is the use of operations from three different algebraic groups. The interaction of different group operations contributes to the confusion required for a secure cipher. However, IDEA has weak key classes which hindered in the faultless security of the data. Some keys containing a large number of 0 bits produce weak encryption. The encryption process of the algorithm is not enough to ensure the security against brute force attack. Circular shift and middle square method are proposed to enhance the algorithmic complexity of IDEA. The proposed enhancement will cover the number of rounds, bit adjustment, shifting, during the encryption and decryption phase. Combining middle square method and circular shift improves the randomness and promotes good diffusion.","PeriodicalId":442255,"journal":{"name":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133497657","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 : 2019-11-01DOI: 10.1109/ICTKE47035.2019.8966907
P. Moungnoul, Narongchon A-mapat
Implementation of the mobile network provider to improve the network performance and the resources optimization by implemented coexistence LTE-TDD, LTE-FDD network and Wi-Fi technology. The main interference is the adjacent cell interference (ACI) from coexisting network/technology, which affected to the network performance. This paper is investigated LTE/Wi-Fi technique in coexistence LTE-FDD/TDD. Results show the distance between 50–60 m and Wi-Fi access point should not over 12 given the best system. The throughput compared with normal case will describe in this paper.
{"title":"Throughtput Investigated of Coexistence Wi-Fi and LTE-U","authors":"P. Moungnoul, Narongchon A-mapat","doi":"10.1109/ICTKE47035.2019.8966907","DOIUrl":"https://doi.org/10.1109/ICTKE47035.2019.8966907","url":null,"abstract":"Implementation of the mobile network provider to improve the network performance and the resources optimization by implemented coexistence LTE-TDD, LTE-FDD network and Wi-Fi technology. The main interference is the adjacent cell interference (ACI) from coexisting network/technology, which affected to the network performance. This paper is investigated LTE/Wi-Fi technique in coexistence LTE-FDD/TDD. Results show the distance between 50–60 m and Wi-Fi access point should not over 12 given the best system. The throughput compared with normal case will describe in this paper.","PeriodicalId":442255,"journal":{"name":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123994442","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 : 2019-11-01DOI: 10.1109/ICTKE47035.2019.8966889
Zeyana Ahmed Al-Maawali, M. Saqib
Knowledge has long been recognized as competitive tool and currency of the 21st century of organizations. The awareness has been increased about knowledge management in the organizations through specific knowledge management processes. Many organization concentrate to implement the best practice in managing the knowledge within the organization. This paper provides a holistic clarification about the importance of knowledge management, KM process, strategies, assets, issues and recommendations for best implementing of knowledge management.
{"title":"Knowledge Management: A Case Study of CeedOman company, Issues and Solutions","authors":"Zeyana Ahmed Al-Maawali, M. Saqib","doi":"10.1109/ICTKE47035.2019.8966889","DOIUrl":"https://doi.org/10.1109/ICTKE47035.2019.8966889","url":null,"abstract":"Knowledge has long been recognized as competitive tool and currency of the 21st century of organizations. The awareness has been increased about knowledge management in the organizations through specific knowledge management processes. Many organization concentrate to implement the best practice in managing the knowledge within the organization. This paper provides a holistic clarification about the importance of knowledge management, KM process, strategies, assets, issues and recommendations for best implementing of knowledge management.","PeriodicalId":442255,"journal":{"name":"2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125185896","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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