Pub Date : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946527
B.N.W.M.R.A. Boragolla, F. Farook, H. Herath, M. Ekanayake, G. Godaliyadda, J. Wijayakulasooriya
Recently studies have been performed on spectral features such as Mel Frequency Cepstral Coefficients (MFCC) and Linear Predictor Cepstral Coefficients (LPCC) for speech emotion recognition. It was found in our study that the Fourier Transform of MFCC time trajectories also play an important role in speech emotion recognition. And also a new hierarchical classification method was proposed based on K Nearest Neighbour (KNN) and Fisher Linear Discriminant Analysis (FLDA). This reduces the computational cost drastically because a lesser number of feature set is used. Also this methodology helps in resolving the non-linearity of the clustering problem. The emotions anger, sadness, disgust, neutrality, boredom, fear and happiness were recognized with the accuracies of 95%, 100%, 85%, 86%, 77%, 53% and 80% on the standard German database(EMODB).
{"title":"Hierarchical method to classify emotions in speech signals","authors":"B.N.W.M.R.A. Boragolla, F. Farook, H. Herath, M. Ekanayake, G. Godaliyadda, J. Wijayakulasooriya","doi":"10.1109/ICIAFS.2016.7946527","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946527","url":null,"abstract":"Recently studies have been performed on spectral features such as Mel Frequency Cepstral Coefficients (MFCC) and Linear Predictor Cepstral Coefficients (LPCC) for speech emotion recognition. It was found in our study that the Fourier Transform of MFCC time trajectories also play an important role in speech emotion recognition. And also a new hierarchical classification method was proposed based on K Nearest Neighbour (KNN) and Fisher Linear Discriminant Analysis (FLDA). This reduces the computational cost drastically because a lesser number of feature set is used. Also this methodology helps in resolving the non-linearity of the clustering problem. The emotions anger, sadness, disgust, neutrality, boredom, fear and happiness were recognized with the accuracies of 95%, 100%, 85%, 86%, 77%, 53% and 80% on the standard German database(EMODB).","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131348489","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946529
B. Madhusanka, A. Jayasekara
Using eyes as an input device for different control backgrounds is the great research area of concern for enhancing the wide scope of human robot interaction. Interface design requirements in like that implementations are relatively different rather than conventional application areas. Both desired command input and sensory feedback responses may be achieved by human eyes instantaneously. In the direction of control the motion of a robot eye by operator gaze interaction, gaze dependent regions in the operator interface are used to perform robot eye movement commands, with different display areas controlling specific directions. The proposed method is developed of adaptive vision attentive robot eye for a service robot and methodical approach has been followed to the design and develop an interactive robotic eye. The process includes the mechanical and electrical designs, in the design process close attention has been paid to the human bio-mechanics to realize a design that reaches anthropomorphism to a closer degree.
{"title":"Design and development of adaptive vision attentive robot eye for service robot in domestic environment","authors":"B. Madhusanka, A. Jayasekara","doi":"10.1109/ICIAFS.2016.7946529","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946529","url":null,"abstract":"Using eyes as an input device for different control backgrounds is the great research area of concern for enhancing the wide scope of human robot interaction. Interface design requirements in like that implementations are relatively different rather than conventional application areas. Both desired command input and sensory feedback responses may be achieved by human eyes instantaneously. In the direction of control the motion of a robot eye by operator gaze interaction, gaze dependent regions in the operator interface are used to perform robot eye movement commands, with different display areas controlling specific directions. The proposed method is developed of adaptive vision attentive robot eye for a service robot and methodical approach has been followed to the design and develop an interactive robotic eye. The process includes the mechanical and electrical designs, in the design process close attention has been paid to the human bio-mechanics to realize a design that reaches anthropomorphism to a closer degree.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121863223","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946521
S. Wimaladharma, H. Herath
The level of connectivity and accessibility of a university website and the amount of information it shares have become a competitive factor among the world universities. Nowadays, the World Wide Web considerably contributes in the presence of information of university websites. Due to the immense distribution of information over the World Wide Web, it has been a challenging task to measure the quality and the quantity of the information each university website shares. Therefore, measuring the web impact has become the most popular mechanism among the researchers. This study is to compare the significance of web impact of the state university websites in Sri Lanka based on the link analysis statistics obtained from well-known search engines, Google and Yahoo!. In this analysis the Revised Web Impact Factor, the ratio between the number of inlinks (external back links) and the number of web pages published in the website which are indexed by the search engines (not all pages of the website),was taken into account. The correlation coefficient between the rank of resultant Revised Web Impact Factors and Impact Factors taken from the Webometrics website derived by Cybermetrics Lab was calculated with the ninety percent of inference level. If an academic website increases its link density via Yahoo! Search engine, it is relatively significance for its Webometrics impact factor whereas Google indexing expresses less relevance for the Webometrics impact factor.
{"title":"An analysis of significance of Revised Web Impact Factor for ranking the websites of state universities in Sri Lanka","authors":"S. Wimaladharma, H. Herath","doi":"10.1109/ICIAFS.2016.7946521","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946521","url":null,"abstract":"The level of connectivity and accessibility of a university website and the amount of information it shares have become a competitive factor among the world universities. Nowadays, the World Wide Web considerably contributes in the presence of information of university websites. Due to the immense distribution of information over the World Wide Web, it has been a challenging task to measure the quality and the quantity of the information each university website shares. Therefore, measuring the web impact has become the most popular mechanism among the researchers. This study is to compare the significance of web impact of the state university websites in Sri Lanka based on the link analysis statistics obtained from well-known search engines, Google and Yahoo!. In this analysis the Revised Web Impact Factor, the ratio between the number of inlinks (external back links) and the number of web pages published in the website which are indexed by the search engines (not all pages of the website),was taken into account. The correlation coefficient between the rank of resultant Revised Web Impact Factors and Impact Factors taken from the Webometrics website derived by Cybermetrics Lab was calculated with the ninety percent of inference level. If an academic website increases its link density via Yahoo! Search engine, it is relatively significance for its Webometrics impact factor whereas Google indexing expresses less relevance for the Webometrics impact factor.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116666542","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946551
A. Sriwardene, M. A. Viraj, J. Muthugala, A. G. Buddhika, P. Jayasekara
Railway transportation is a predominant transportation medium in the world. The railway transportation is one of the conventional systems that subjects to many accidents annually in most of the countries. Comparatively to other transportation systems, accident preventive methods for locomotives are not in the best use. This paper presents about a novel vision based driver assisting system for locomotives. The proposed system is capable of detecting an obstacle in the railway track. If the obstacle is within the danger zone, the driver will be notified to apply sufficient amount of brake to avoid the collision with the obstacle. The danger zone is estimated based on the current velocity of the train. Furthermore, the proposed system can be fixed into any existing locomotive without undertaking any modifications for the existing systems of the locomotive and the system is cost effective compared to the other existing methods. In order to validate the overall functionality of the system, a prototype of the system has been developed and field trails have been carried out with actual locomotives. According to the obtained experimental results, the functionality of the system has been found to be satisfactory.
{"title":"Vision based smart driver assisting system for locomotives","authors":"A. Sriwardene, M. A. Viraj, J. Muthugala, A. G. Buddhika, P. Jayasekara","doi":"10.1109/ICIAFS.2016.7946551","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946551","url":null,"abstract":"Railway transportation is a predominant transportation medium in the world. The railway transportation is one of the conventional systems that subjects to many accidents annually in most of the countries. Comparatively to other transportation systems, accident preventive methods for locomotives are not in the best use. This paper presents about a novel vision based driver assisting system for locomotives. The proposed system is capable of detecting an obstacle in the railway track. If the obstacle is within the danger zone, the driver will be notified to apply sufficient amount of brake to avoid the collision with the obstacle. The danger zone is estimated based on the current velocity of the train. Furthermore, the proposed system can be fixed into any existing locomotive without undertaking any modifications for the existing systems of the locomotive and the system is cost effective compared to the other existing methods. In order to validate the overall functionality of the system, a prototype of the system has been developed and field trails have been carried out with actual locomotives. According to the obtained experimental results, the functionality of the system has been found to be satisfactory.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124480180","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946538
S. Aravinda, S. Gunawardene, N. Kottege
Wireless Sensor Network (WSN) based acoustic monitoring is useful for ecologists for the purpose of monitoring real-time wildlife behavior across remotely located large areas, for long periods and under variable weather/climate conditions. However, stringent requirements for intense data processing and data bandwidth across network nodes makes applicability of WSN based monitoring limited. This paper presents, a mesh network of wireless sensor nodes that only requires readily available hardware, algorithms and methods for acoustic source type identification. A node was constructed by interfacing three separate modules to a microprocessor: (i) a microphone coupled to a USB sound card for recording acoustic data, (ii) a radio frequency (RF) transceiver for inter-node and remote server communication, and (iii) an external Real Time Clock module for time-synchronization between nodes. The system was designed for real-time identification of calls of Black-Rumped Flameback (BRF), a type of woodpecker endemic to the Indian sub-continent and found in parts of Sri Lanka. Any acoustic signal above a predefined intensity threshold was recorded while BRF calls were discriminated with respect to two other known bird calls. This was achieved based on a threshold estimated by measuring the cross-correlation between two known BRF calls. This method was able to successfully identify 83% of the tested BRF calls. Several more frequency domain features were also identified that are compatible with Support Vector Machines (SVM), which is a more robust identification algorithm. The SVM based was able to successfully identify 91% of the tested BRF calls. The total cost of hardware used per node was estimated to be under USD 75.
{"title":"An acoustic Wireless Sensor Network for remote monitoring of bird calls","authors":"S. Aravinda, S. Gunawardene, N. Kottege","doi":"10.1109/ICIAFS.2016.7946538","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946538","url":null,"abstract":"Wireless Sensor Network (WSN) based acoustic monitoring is useful for ecologists for the purpose of monitoring real-time wildlife behavior across remotely located large areas, for long periods and under variable weather/climate conditions. However, stringent requirements for intense data processing and data bandwidth across network nodes makes applicability of WSN based monitoring limited. This paper presents, a mesh network of wireless sensor nodes that only requires readily available hardware, algorithms and methods for acoustic source type identification. A node was constructed by interfacing three separate modules to a microprocessor: (i) a microphone coupled to a USB sound card for recording acoustic data, (ii) a radio frequency (RF) transceiver for inter-node and remote server communication, and (iii) an external Real Time Clock module for time-synchronization between nodes. The system was designed for real-time identification of calls of Black-Rumped Flameback (BRF), a type of woodpecker endemic to the Indian sub-continent and found in parts of Sri Lanka. Any acoustic signal above a predefined intensity threshold was recorded while BRF calls were discriminated with respect to two other known bird calls. This was achieved based on a threshold estimated by measuring the cross-correlation between two known BRF calls. This method was able to successfully identify 83% of the tested BRF calls. Several more frequency domain features were also identified that are compatible with Support Vector Machines (SVM), which is a more robust identification algorithm. The SVM based was able to successfully identify 91% of the tested BRF calls. The total cost of hardware used per node was estimated to be under USD 75.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122522457","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946539
Menuka Gayan Senevirathna, S. Harshini
Customers want fast checkout systems and retailers are always searching for ways to improve store checkout systems. The length of time the consumer spends waiting in line at the checkout counter makes an influence on consumer-buying pattern. Nevertheless, there is an overwhelming need for businesses to value customers' time and install more efficient checkout systems to improve the efficiency of queues and waiting lines. Reducing the operational time of checkout counter is a good way to reduce waiting time at store checkout counters. In this research study, hands free wearable gestures detecting RFID (Radio frequency identification) scanning glove is proposed and discussed to reduce operation time of checkout counter. Operator's hands are free to do any other work with the proposed solution because it is implemented in glove form. Compared to traditional scanning, operational time of checkout counters can be reduced by half with this solution. Further reducing operational time, human interaction with POS (point of sale) system is automated by gestures detecting unit of proposed solution. This solution can be used to replace steady checkout counters by mobile checkout counters.
顾客想要快速的结账系统，零售商也一直在寻找改进结账系统的方法。消费者在收银台排队等候的时间长短对消费者的购买模式有影响。然而，企业迫切需要重视顾客的时间，安装更高效的结账系统，以提高排队和排队的效率。减少收银台的操作时间是减少商店收银台等待时间的好方法。本研究提出并讨论了一种免提可穿戴式手势检测RFID (Radio frequency identification)扫描手套，以减少收银台操作时间。操作人员的手可以自由地使用建议的解决方案做任何其他工作，因为它是以手套的形式实现的。与传统的扫描相比，使用这种解决方案可以将收银台的操作时间减少一半。通过提出的解决方案中的手势检测单元，使人与POS(销售点)系统的交互自动化，进一步缩短了操作时间。此解决方案可用于用移动结帐柜台取代稳定的结帐柜台。
{"title":"Hands free POS automated RFID scanning glove to reduce waiting time of store checkout lines","authors":"Menuka Gayan Senevirathna, S. Harshini","doi":"10.1109/ICIAFS.2016.7946539","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946539","url":null,"abstract":"Customers want fast checkout systems and retailers are always searching for ways to improve store checkout systems. The length of time the consumer spends waiting in line at the checkout counter makes an influence on consumer-buying pattern. Nevertheless, there is an overwhelming need for businesses to value customers' time and install more efficient checkout systems to improve the efficiency of queues and waiting lines. Reducing the operational time of checkout counter is a good way to reduce waiting time at store checkout counters. In this research study, hands free wearable gestures detecting RFID (Radio frequency identification) scanning glove is proposed and discussed to reduce operation time of checkout counter. Operator's hands are free to do any other work with the proposed solution because it is implemented in glove form. Compared to traditional scanning, operational time of checkout counters can be reduced by half with this solution. Further reducing operational time, human interaction with POS (point of sale) system is automated by gestures detecting unit of proposed solution. This solution can be used to replace steady checkout counters by mobile checkout counters.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121122596","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946549
S. T. Rakkesh, A. Weerasinghe, R. Ranasinghe
Accidents have become one of the usual occurrences on roads throughout the world. Thousands of people lose their lives or become disabled every day. Speed limits are enforced to control the movement of vehicles along traffic lanes. As per the research statistics, violation of speed limits by the drivers is one of the significant reasons for the road accidents. Detecting the drivers who violate speed limits and giving them punishments may help to control the rate of speed violation occurrences. But tracking the speed violations solely with human resources is an impossible task since the breach can happen at any parts of a large traffic region. Therefore, the requirement for a real-time monitoring system is inevitable to comprehensively identify the violators. In this study, we propose two real-time monitoring solution approaches capable of alerting the infringing vehicles using complex event processing and vehicular ad-hoc networking techniques. Since evaluating our solutions directly on real traffic environments requires significant structural alternations, we have followed the simulation procedure to experiment our solutions. For this research, we have selected Colombo and Gampaha districts from Sri Lanka as our study regions and validated our solutions using SUMO traffic simulator.
{"title":"Simulation of real-time vehicle speed violation detection using complex event processing","authors":"S. T. Rakkesh, A. Weerasinghe, R. Ranasinghe","doi":"10.1109/ICIAFS.2016.7946549","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946549","url":null,"abstract":"Accidents have become one of the usual occurrences on roads throughout the world. Thousands of people lose their lives or become disabled every day. Speed limits are enforced to control the movement of vehicles along traffic lanes. As per the research statistics, violation of speed limits by the drivers is one of the significant reasons for the road accidents. Detecting the drivers who violate speed limits and giving them punishments may help to control the rate of speed violation occurrences. But tracking the speed violations solely with human resources is an impossible task since the breach can happen at any parts of a large traffic region. Therefore, the requirement for a real-time monitoring system is inevitable to comprehensively identify the violators. In this study, we propose two real-time monitoring solution approaches capable of alerting the infringing vehicles using complex event processing and vehicular ad-hoc networking techniques. Since evaluating our solutions directly on real traffic environments requires significant structural alternations, we have followed the simulation procedure to experiment our solutions. For this research, we have selected Colombo and Gampaha districts from Sri Lanka as our study regions and validated our solutions using SUMO traffic simulator.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133678929","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946576
Gayan Liyanaarachchi, Lakshan Kasun, Malki Nimesha, Kanishka Lahiru, A. Karunasena
Relational databases have been the foremost means of database management over the years. Relational databases, which provide vast benefits like the operational ease and sound execution of transactions with its support for ACID properties, are ideal when it comes to structured data. Nonetheless, with regards to scalability and the emergence of big data which encompasses escalating amount of structured and unstructured data, relational databases fall short in becoming a proper fit. Addressing these concerns, NoSQL comes in as a much more flexible alternative to relational databases. With the popularity of NoSQL which is capable of handling vast amounts of complex data varying in type and structure, the focus moves on the migration of existing relational databases into NoSQL databases, especially databases like MongoDB. In consideration of the migration of relational database tables, data along with queries into MongoDB, there are certain issues like current migration systems being incapable of properly mapping table relationships. It could result in the necessity of multiple query statements, thereby decreasing query performance and data redundancy thus wasting space needlessly. Adding up to those complications are the existing query converters only being capable of converting select queries, the inability of query converters to support table joins and most of the tools requiring MongoDB command or JSON knowledge. Hence, the focus of the intended system ‘MigDB’ is to facilitate users to easily transfer from MySQL tables along with proper relationship mapping opted from embedding and referencing, data as well as queries into MongoDB without requiring any prior knowledge of MongoDB commands or JSON.
{"title":"MigDB - relational to NoSQL mapper","authors":"Gayan Liyanaarachchi, Lakshan Kasun, Malki Nimesha, Kanishka Lahiru, A. Karunasena","doi":"10.1109/ICIAFS.2016.7946576","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946576","url":null,"abstract":"Relational databases have been the foremost means of database management over the years. Relational databases, which provide vast benefits like the operational ease and sound execution of transactions with its support for ACID properties, are ideal when it comes to structured data. Nonetheless, with regards to scalability and the emergence of big data which encompasses escalating amount of structured and unstructured data, relational databases fall short in becoming a proper fit. Addressing these concerns, NoSQL comes in as a much more flexible alternative to relational databases. With the popularity of NoSQL which is capable of handling vast amounts of complex data varying in type and structure, the focus moves on the migration of existing relational databases into NoSQL databases, especially databases like MongoDB. In consideration of the migration of relational database tables, data along with queries into MongoDB, there are certain issues like current migration systems being incapable of properly mapping table relationships. It could result in the necessity of multiple query statements, thereby decreasing query performance and data redundancy thus wasting space needlessly. Adding up to those complications are the existing query converters only being capable of converting select queries, the inability of query converters to support table joins and most of the tools requiring MongoDB command or JSON knowledge. Hence, the focus of the intended system ‘MigDB’ is to facilitate users to easily transfer from MySQL tables along with proper relationship mapping opted from embedding and referencing, data as well as queries into MongoDB without requiring any prior knowledge of MongoDB commands or JSON.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116582969","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946519
I.D.I.D. Ariyasingha, T. Fernando
Ant colony optimization is a meta-heuristic that has been widely used for solving combinatorial optimization problems, and most real-world applications are concerned with multi-objective optimization problems. The Pareto strength ant colony optimization (PSACO) algorithm, which uses the concepts of Pareto optimality and also the domination concept, has been shown to be very effective in optimizing any number of objectives simultaneously. This paper modifies the PSACO algorithm to solve two combinatorial optimization problems: the travelling salesman problem (TSP); and the job-shop scheduling problem (JSSP). It uses the random-weight based method as an improvement. The proposed method achieved a better performance than the original PSACO algorithm for both combinatorial optimization problems and obtained well-distributed Pareto-optimal fronts.
蚁群算法是一种元启发式算法，被广泛用于解决组合优化问题，大多数实际应用涉及多目标优化问题。Pareto强度蚁群优化算法(Pareto strength ant colony optimization, PSACO)采用了Pareto最优和支配的概念，在同时优化任意数量的目标时非常有效。本文对PSACO算法进行了改进，以解决两个组合优化问题:旅行商问题(TSP);作业车间调度问题(JSSP)。它使用基于随机权重的方法作为改进。该方法在两个组合优化问题上都取得了比原PSACO算法更好的性能，并获得了分布良好的pareto最优前沿。
{"title":"A modified Pareto strength ant colony optimization algorithm for the multi-objective optimization problems","authors":"I.D.I.D. Ariyasingha, T. Fernando","doi":"10.1109/ICIAFS.2016.7946519","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946519","url":null,"abstract":"Ant colony optimization is a meta-heuristic that has been widely used for solving combinatorial optimization problems, and most real-world applications are concerned with multi-objective optimization problems. The Pareto strength ant colony optimization (PSACO) algorithm, which uses the concepts of Pareto optimality and also the domination concept, has been shown to be very effective in optimizing any number of objectives simultaneously. This paper modifies the PSACO algorithm to solve two combinatorial optimization problems: the travelling salesman problem (TSP); and the job-shop scheduling problem (JSSP). It uses the random-weight based method as an improvement. The proposed method achieved a better performance than the original PSACO algorithm for both combinatorial optimization problems and obtained well-distributed Pareto-optimal fronts.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125026568","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946535
Abdul Attayyab Khan, M. Khosravi, S. Denei, P. Maiolino, Włodzimierz Kasprzak, F. Mastrogiovanni, G. Cannata
This paper proposes an architecture for tactile-based fabric learning and classification. The architecture is based on a number of SVM-based learning units, which we call fabric classification cores, specifically trained to discriminate between two fabrics. Each core is based on a specific subset of the fully available set of features, on the basis of their discriminative value, determined using the p-value. During fabric recognition, each core casts a vote. The architecture collects votes and provides an overall classification result. We tested seventeen different fabrics, and the result showed that classification errors are negligible.
{"title":"A tactile-based fabric learning and classification architecture","authors":"Abdul Attayyab Khan, M. Khosravi, S. Denei, P. Maiolino, Włodzimierz Kasprzak, F. Mastrogiovanni, G. Cannata","doi":"10.1109/ICIAFS.2016.7946535","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946535","url":null,"abstract":"This paper proposes an architecture for tactile-based fabric learning and classification. The architecture is based on a number of SVM-based learning units, which we call fabric classification cores, specifically trained to discriminate between two fabrics. Each core is based on a specific subset of the fully available set of features, on the basis of their discriminative value, determined using the p-value. During fabric recognition, each core casts a vote. The architecture collects votes and provides an overall classification result. We tested seventeen different fabrics, and the result showed that classification errors are negligible.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129636264","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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