Pub Date : 2015-11-23DOI: 10.1109/ICAICTA.2015.7335378
R. A. Saputra, M. L. Khodra, N. Maulidevi
Indonesia still used diesel engine to produce electricity in isolated area because of its efficiency. Many attempts were made to keep it efficient, one of them by monitor and fix the problem quickly. Current monitoring system can inform if the engine get any problem, the expert then analyze and give advice to fix the problem. In the other side, lack of expert inhibit decision making process. A frame-based expert system for diesel engine fault diagnosis has been proposed since its flexibility to accommodate various problem based on its structure. This paper discusses inference process, overall structure and knowledge representation to resolve the problem. This system is utilizing CLIPS as the back-end to inference the knowledge.
{"title":"Frame-based expert system for monitoring diesel engine","authors":"R. A. Saputra, M. L. Khodra, N. Maulidevi","doi":"10.1109/ICAICTA.2015.7335378","DOIUrl":"https://doi.org/10.1109/ICAICTA.2015.7335378","url":null,"abstract":"Indonesia still used diesel engine to produce electricity in isolated area because of its efficiency. Many attempts were made to keep it efficient, one of them by monitor and fix the problem quickly. Current monitoring system can inform if the engine get any problem, the expert then analyze and give advice to fix the problem. In the other side, lack of expert inhibit decision making process. A frame-based expert system for diesel engine fault diagnosis has been proposed since its flexibility to accommodate various problem based on its structure. This paper discusses inference process, overall structure and knowledge representation to resolve the problem. This system is utilizing CLIPS as the back-end to inference the knowledge.","PeriodicalId":319020,"journal":{"name":"2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133292284","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 : 2015-11-23DOI: 10.1109/ICAICTA.2015.7335348
Komate Amphawan, A. Surarerks
High utility itemsets mining (HUIM) is an interesting topic in data mining which can be applied in a wide range of applications, for example, on retail marketing-finding sets of sold products giving high profit, low cost, etc. However, HUIM only considers utility values of items/itemsets which may be insufficient to observe buying behavior of customers. To address this issue, we here introduce an approach to add regularity constraint into high utility itemsets mining. Based on this approach, sets of cooccurrence items with high utility values and regular occurrence, called high utility-regular itemsets (HURIs), are regarded as interesting itemsets. To mine HURIs, an efficient single-pass algorithm, called HURI-UL, is proposed. HURI-UL applies concept of remaining and overestimated utilities of itemsets to early prune search space (uninteresting itemsets) and also utilizes utility list structure to efficiently maintain utility values and occurrence information of itemsets. Experimental results on real dataseis show that our proposed HURI-UL is efficient to discover high utility itemsets with regular occurrence.
{"title":"Pushing regularity constraint on high utility itemsets mining","authors":"Komate Amphawan, A. Surarerks","doi":"10.1109/ICAICTA.2015.7335348","DOIUrl":"https://doi.org/10.1109/ICAICTA.2015.7335348","url":null,"abstract":"High utility itemsets mining (HUIM) is an interesting topic in data mining which can be applied in a wide range of applications, for example, on retail marketing-finding sets of sold products giving high profit, low cost, etc. However, HUIM only considers utility values of items/itemsets which may be insufficient to observe buying behavior of customers. To address this issue, we here introduce an approach to add regularity constraint into high utility itemsets mining. Based on this approach, sets of cooccurrence items with high utility values and regular occurrence, called high utility-regular itemsets (HURIs), are regarded as interesting itemsets. To mine HURIs, an efficient single-pass algorithm, called HURI-UL, is proposed. HURI-UL applies concept of remaining and overestimated utilities of itemsets to early prune search space (uninteresting itemsets) and also utilizes utility list structure to efficiently maintain utility values and occurrence information of itemsets. Experimental results on real dataseis show that our proposed HURI-UL is efficient to discover high utility itemsets with regular occurrence.","PeriodicalId":319020,"journal":{"name":"2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121015025","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 : 2015-11-23DOI: 10.1109/ICAICTA.2015.7335370
Pheerasak Tongkamonwat, P. Bhattarakosol
Currently, Information exchanges between the organizations are significantly important. Although there is a standard Financial Information Exchange System, called as FIX, is implemented around the financial businesses, some important issues still are ignored. This paper proposes a new architecture to forward order and the financial information exchange pattern base on FIXML. This new proposed system which is a new interface of FIX System, named as IFIX. The standard FIX is applied by this paper that pointed that spreading exchange of financial information and forwards the information play an important role in broker. IFIX, a new information exchange framework of FIX, is proposed to dissolve the limitation of the current system.
{"title":"IFIX: A new information exchange framework for financial organizations","authors":"Pheerasak Tongkamonwat, P. Bhattarakosol","doi":"10.1109/ICAICTA.2015.7335370","DOIUrl":"https://doi.org/10.1109/ICAICTA.2015.7335370","url":null,"abstract":"Currently, Information exchanges between the organizations are significantly important. Although there is a standard Financial Information Exchange System, called as FIX, is implemented around the financial businesses, some important issues still are ignored. This paper proposes a new architecture to forward order and the financial information exchange pattern base on FIXML. This new proposed system which is a new interface of FIX System, named as IFIX. The standard FIX is applied by this paper that pointed that spreading exchange of financial information and forwards the information play an important role in broker. IFIX, a new information exchange framework of FIX, is proposed to dissolve the limitation of the current system.","PeriodicalId":319020,"journal":{"name":"2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129382460","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 : 2015-11-23DOI: 10.1109/ICAICTA.2015.7335357
Norioki Goto, Kazumasa Yamamoto, S. Nakagawa
This paper presents our scheme to translate spoken English lectures into Japanese that consists of an English automatic speech recognition system (ASR) that utilizes a deep neural network (DNN) and an English to Japanese phrase-based statistical machine translation system (SMT). We utilized an existing Wall Street Journal corpus for our acoustic model and adapted it with MIT OpenCourseWare lectures whose transcriptions we also utilized to create our language model. For the parallel corpus of our SMT system, we used TED Talks and Japanese News Article Alignment Data. Our ASR system achieved a word error rate (WER) of 21.0%, and our SMT system achieved a 3-gram base bilingual evaluation understudy (BLEU) of 16.8 for text input and 14.6 for speech input, respectively. These scores outperformed our previous system : WER = 32.1% and BLEU = 11.0.
{"title":"English to Japanese spoken lecture translation system by using DNN-HMM and phrase-based SMT","authors":"Norioki Goto, Kazumasa Yamamoto, S. Nakagawa","doi":"10.1109/ICAICTA.2015.7335357","DOIUrl":"https://doi.org/10.1109/ICAICTA.2015.7335357","url":null,"abstract":"This paper presents our scheme to translate spoken English lectures into Japanese that consists of an English automatic speech recognition system (ASR) that utilizes a deep neural network (DNN) and an English to Japanese phrase-based statistical machine translation system (SMT). We utilized an existing Wall Street Journal corpus for our acoustic model and adapted it with MIT OpenCourseWare lectures whose transcriptions we also utilized to create our language model. For the parallel corpus of our SMT system, we used TED Talks and Japanese News Article Alignment Data. Our ASR system achieved a word error rate (WER) of 21.0%, and our SMT system achieved a 3-gram base bilingual evaluation understudy (BLEU) of 16.8 for text input and 14.6 for speech input, respectively. These scores outperformed our previous system : WER = 32.1% and BLEU = 11.0.","PeriodicalId":319020,"journal":{"name":"2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122107491","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 : 2015-11-23DOI: 10.1109/ICAICTA.2015.7335359
N. Ahamed, O. Altwijri, S. A. M. Matiur Rahaman, N. Ahmed, M. Alqahtani, K. Sundaraj
This study examined the effects of electromyographic (EMG) signals from Biceps Brachii (BB) muscle on the root mean square (RMS)-time relationships during dynamic contraction. Ten healthy and right hand dominated male subjects were volunteered for the experiments. The RMS features were extracted from the corresponding EMG signals (amplitude of the full wave EMG) for 10 seconds in 5 minutes intervals between each trial. Ten seconds (or 10000 ms) were divided into 4 time lags to identify the muscle activity and relationship between EMG and time using different statistical analysing techniques, such as mean, regression analysis, correlation, ANOVA, and coefficient of variation (CoV) for muscle activity variation. The results shows that large positive linear association between EMG and endurance time where the points are close to the linear trend line (R squared = 0.93 and F-ratio = 453.1). Signal steadiness is better during last time lags (1.66% during 7501-10000 ms) compared to initial time duration (10.35% during 0-2500 ms).
{"title":"Relation between EMG signal activation and time lags using feature analysis during dynamic contraction","authors":"N. Ahamed, O. Altwijri, S. A. M. Matiur Rahaman, N. Ahmed, M. Alqahtani, K. Sundaraj","doi":"10.1109/ICAICTA.2015.7335359","DOIUrl":"https://doi.org/10.1109/ICAICTA.2015.7335359","url":null,"abstract":"This study examined the effects of electromyographic (EMG) signals from Biceps Brachii (BB) muscle on the root mean square (RMS)-time relationships during dynamic contraction. Ten healthy and right hand dominated male subjects were volunteered for the experiments. The RMS features were extracted from the corresponding EMG signals (amplitude of the full wave EMG) for 10 seconds in 5 minutes intervals between each trial. Ten seconds (or 10000 ms) were divided into 4 time lags to identify the muscle activity and relationship between EMG and time using different statistical analysing techniques, such as mean, regression analysis, correlation, ANOVA, and coefficient of variation (CoV) for muscle activity variation. The results shows that large positive linear association between EMG and endurance time where the points are close to the linear trend line (R squared = 0.93 and F-ratio = 453.1). Signal steadiness is better during last time lags (1.66% during 7501-10000 ms) compared to initial time duration (10.35% during 0-2500 ms).","PeriodicalId":319020,"journal":{"name":"2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120944708","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 : 2015-11-23DOI: 10.1109/ICAICTA.2015.7335384
Kosuke Yamauchi, Tomoyoshi Akiba
In recent years, multimedia contents, such as audio and video data, have been increasing, and the search techniques for them are needed. Spoken content retrieval (SCR), which retrieves speech data using their transcription generated by an automatic speech recognition (ASR) system, has been widely studied. One of the challenges in SCR is how to deal with ASR errors found in the transcription. To alleviate the error effects, we propose to use the presentation slides along with the ASR results in the case of the retrieval targeting presentations taken place in an academic conference. We present three methods of using the presentation slides. We performed experiments on NTCIR-11 slide segmentation data set. In the results, we observed the significant improvement on the all proposed methods.
{"title":"Incorporating text information on presentation slides for spoken lecture retrieval","authors":"Kosuke Yamauchi, Tomoyoshi Akiba","doi":"10.1109/ICAICTA.2015.7335384","DOIUrl":"https://doi.org/10.1109/ICAICTA.2015.7335384","url":null,"abstract":"In recent years, multimedia contents, such as audio and video data, have been increasing, and the search techniques for them are needed. Spoken content retrieval (SCR), which retrieves speech data using their transcription generated by an automatic speech recognition (ASR) system, has been widely studied. One of the challenges in SCR is how to deal with ASR errors found in the transcription. To alleviate the error effects, we propose to use the presentation slides along with the ASR results in the case of the retrieval targeting presentations taken place in an academic conference. We present three methods of using the presentation slides. We performed experiments on NTCIR-11 slide segmentation data set. In the results, we observed the significant improvement on the all proposed methods.","PeriodicalId":319020,"journal":{"name":"2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114963694","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 : 2015-11-23DOI: 10.1109/ICAICTA.2015.7335372
Yuki Ota, Hiroshi Higashi, S. Nakauchi
Quality of pearl is subjectively and visually assessed by experts. The experts assess pearls from various factors such as size, shape, gloss, color, and so on. Among these factors, body color, interference color, glossiness and thickness of nacre of pearl are the most important for the quality of pearls. This study proposes a method that assesses and quantifies each factor of the pearl quality by using optical measurement. The spectral and spatial features were extracted from spectral imaging measurements. Quantitative values for each factor are estimated from the spectral and spatial features. We compared the estimated quantitative values with experts' evaluations. The result shows that the proposed method can accurately predict the experts' evaluations.
{"title":"Objective assessment and quantification of pearl quality by spectral-spatial features","authors":"Yuki Ota, Hiroshi Higashi, S. Nakauchi","doi":"10.1109/ICAICTA.2015.7335372","DOIUrl":"https://doi.org/10.1109/ICAICTA.2015.7335372","url":null,"abstract":"Quality of pearl is subjectively and visually assessed by experts. The experts assess pearls from various factors such as size, shape, gloss, color, and so on. Among these factors, body color, interference color, glossiness and thickness of nacre of pearl are the most important for the quality of pearls. This study proposes a method that assesses and quantifies each factor of the pearl quality by using optical measurement. The spectral and spatial features were extracted from spectral imaging measurements. Quantitative values for each factor are estimated from the spectral and spatial features. We compared the estimated quantitative values with experts' evaluations. The result shows that the proposed method can accurately predict the experts' evaluations.","PeriodicalId":319020,"journal":{"name":"2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127691377","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 : 2015-11-23DOI: 10.1109/ICAICTA.2015.7335386
Piyatragoon Boonthong, Suwanna Rasmequan, Annupan Rodtook, K. Chinnasarn
Medical image processing techniques have been used for breast cancer diagnosis research in the last few years. The spiculated mass is a factors that indicates underlying malignancy. This proposes an automatic algorithm for speculated mass detection. The algorithm comprises efficient image processing steps. Removing the pectoral muscles and digital mammography background leaves only the fatty tissue and breast masses that are early priorities of this algorithm. Then automatic extraction of ROI is required. The proposed polynomial improves the quality of the ROI in term of intensity contrast. The initial models of active contour based on GGVF are constructed using Radon transform and the hierarchical clustering. The final shape of active model represents the irregular shape of spiculation. The numerical tests employing images from the digital database for screening mammography show good accuracy of our proposed algorithm for detecting spiculated masses.
{"title":"Automated detection of spiculated masses using integrated method based on active contour","authors":"Piyatragoon Boonthong, Suwanna Rasmequan, Annupan Rodtook, K. Chinnasarn","doi":"10.1109/ICAICTA.2015.7335386","DOIUrl":"https://doi.org/10.1109/ICAICTA.2015.7335386","url":null,"abstract":"Medical image processing techniques have been used for breast cancer diagnosis research in the last few years. The spiculated mass is a factors that indicates underlying malignancy. This proposes an automatic algorithm for speculated mass detection. The algorithm comprises efficient image processing steps. Removing the pectoral muscles and digital mammography background leaves only the fatty tissue and breast masses that are early priorities of this algorithm. Then automatic extraction of ROI is required. The proposed polynomial improves the quality of the ROI in term of intensity contrast. The initial models of active contour based on GGVF are constructed using Radon transform and the hierarchical clustering. The final shape of active model represents the irregular shape of spiculation. The numerical tests employing images from the digital database for screening mammography show good accuracy of our proposed algorithm for detecting spiculated masses.","PeriodicalId":319020,"journal":{"name":"2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133281256","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 : 2015-11-23DOI: 10.1109/ICAICTA.2015.7335358
Thanapat Chatchaithanawat, Pakawan Pugsee
This research paper shows the proposed framework which enables users to know what the review about the laptop is. The objective of this research is to analyze messages from community web sites and identify subjective paragraphs and the sentiment of texts. There are three main procedures of this framework. Firstly, subjective paragraphs will be detected from the source materials by detecting subjective words. Secondly, the aspects of subjective paragraphs will be defined by the frequency of words in each aspect. Finally, the sentiment of texts will be classified by the machine learning. In conclusion, the results of this framework are identified subjective paragraphs in each aspect and the sentiment of texts in paragraphs. So this technique framework is useful for the system applied for analyzing the laptop reviews as to help the customer make decision before purchasing.
{"title":"A framework for laptop review analysis","authors":"Thanapat Chatchaithanawat, Pakawan Pugsee","doi":"10.1109/ICAICTA.2015.7335358","DOIUrl":"https://doi.org/10.1109/ICAICTA.2015.7335358","url":null,"abstract":"This research paper shows the proposed framework which enables users to know what the review about the laptop is. The objective of this research is to analyze messages from community web sites and identify subjective paragraphs and the sentiment of texts. There are three main procedures of this framework. Firstly, subjective paragraphs will be detected from the source materials by detecting subjective words. Secondly, the aspects of subjective paragraphs will be defined by the frequency of words in each aspect. Finally, the sentiment of texts will be classified by the machine learning. In conclusion, the results of this framework are identified subjective paragraphs in each aspect and the sentiment of texts in paragraphs. So this technique framework is useful for the system applied for analyzing the laptop reviews as to help the customer make decision before purchasing.","PeriodicalId":319020,"journal":{"name":"2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114546947","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 : 2015-08-01DOI: 10.1109/ICAICTA.2015.7335385
Seiya Kawagoe, Miki Ueno, H. Isahara
The efficiency of creating stories by writers is very important for publishing a plentiful supply of products in the market. Although there are only a handful of matured writers, little research has been reported regarding a computational approach to support the creation of stories. In order to help amateur writers with creating well organized stories, we propose a newly developed system based on the four templates. In this paper, we constructed a system referring to the previous study and presented the outline of the novel system by utilizing templates. To confirm the efficiency of templates, user experiments were performed. From the experiments, we found that the backgrounds of characters are the most significant ingredient for the creation of attractive stories. Finally, we discuss the requirements for developing our system.
{"title":"A study on the efficiency of creating stories by the use of templates","authors":"Seiya Kawagoe, Miki Ueno, H. Isahara","doi":"10.1109/ICAICTA.2015.7335385","DOIUrl":"https://doi.org/10.1109/ICAICTA.2015.7335385","url":null,"abstract":"The efficiency of creating stories by writers is very important for publishing a plentiful supply of products in the market. Although there are only a handful of matured writers, little research has been reported regarding a computational approach to support the creation of stories. In order to help amateur writers with creating well organized stories, we propose a newly developed system based on the four templates. In this paper, we constructed a system referring to the previous study and presented the outline of the novel system by utilizing templates. To confirm the efficiency of templates, user experiments were performed. From the experiments, we found that the backgrounds of characters are the most significant ingredient for the creation of attractive stories. Finally, we discuss the requirements for developing our system.","PeriodicalId":319020,"journal":{"name":"2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126743740","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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