Pub Date : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065850
M. S. Alvissalim, M. Yasui, Chihiro Watanabe, M. Ishikawa
This paper presents an immersive and highly responsive virtual 3D environment. By combining state of the art 3D display device zSpace and a high speed 499 fps hand gesture interface system a truly immersive system is achieved. Truly immersive virtual 3D environment can only be achieved with low latency interaction. Utilizing high speed camera, the system is capable of detecting two hands simultaneously. The system offers temporal congruency, spatial congruency, and intuitive interaction. The system offers temporal congruency by having a end-to-end latency of only 27.7 ms. It also offers spatial congruency with an accuracy of less than 3mm. It also provides intuitive interaction by allowing the user to use simple hand gestures to interact with the system. Small and fast movements can be detected easily in this system. Therefore, this system is suitable for settings where reflex speed response is required from the user. The possibility to operate using bare hand also offers a convenience in setting where hand hygiene is important such as in medical surgery.
{"title":"Immersive virtual 3D environment based on 499 fps hand gesture interface","authors":"M. S. Alvissalim, M. Yasui, Chihiro Watanabe, M. Ishikawa","doi":"10.1109/ICACSIS.2014.7065850","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065850","url":null,"abstract":"This paper presents an immersive and highly responsive virtual 3D environment. By combining state of the art 3D display device zSpace and a high speed 499 fps hand gesture interface system a truly immersive system is achieved. Truly immersive virtual 3D environment can only be achieved with low latency interaction. Utilizing high speed camera, the system is capable of detecting two hands simultaneously. The system offers temporal congruency, spatial congruency, and intuitive interaction. The system offers temporal congruency by having a end-to-end latency of only 27.7 ms. It also offers spatial congruency with an accuracy of less than 3mm. It also provides intuitive interaction by allowing the user to use simple hand gestures to interact with the system. Small and fast movements can be detected easily in this system. Therefore, this system is suitable for settings where reflex speed response is required from the user. The possibility to operate using bare hand also offers a convenience in setting where hand hygiene is important such as in medical surgery.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"15 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127646520","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065836
Y. Kishi, Kyoko Ito, S. Nishida
Mass consumption of energy is a big problem. Energy-saving activities which are a solution to this problem have been attracting a lot of attention. Nevertheless, in order to engage in thorough energy-saving activities, consumers need support; on the other hand, even with support, the effects seem to be only temporary. In this paper, to obtain a long-term effect, we focus on developing a method to raise consumers' awareness about energy-saving behavior. To this end, we designed an interface which offers consumers the cue to think about energy-saving activities and conducted a 2week-experiment using the interface with 10 participants. The results suggest two things. First, offering cues increases the number of the energy-saving activities. Second, the more times they perform an activity, the less likely it is that they will change their way of thinking about the activity as time passes. We discuss a more effective method of helping consumers create energy-saving strategies.
{"title":"Making \"Energy-saving strategies\": Using a cue offering interface","authors":"Y. Kishi, Kyoko Ito, S. Nishida","doi":"10.1109/ICACSIS.2014.7065836","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065836","url":null,"abstract":"Mass consumption of energy is a big problem. Energy-saving activities which are a solution to this problem have been attracting a lot of attention. Nevertheless, in order to engage in thorough energy-saving activities, consumers need support; on the other hand, even with support, the effects seem to be only temporary. In this paper, to obtain a long-term effect, we focus on developing a method to raise consumers' awareness about energy-saving behavior. To this end, we designed an interface which offers consumers the cue to think about energy-saving activities and conducted a 2week-experiment using the interface with 10 participants. The results suggest two things. First, offering cues increases the number of the energy-saving activities. Second, the more times they perform an activity, the less likely it is that they will change their way of thinking about the activity as time passes. We discuss a more effective method of helping consumers create energy-saving strategies.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"538 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124528493","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065849
Fajri Koto
The imbalanced dataset often becomes obstacle in supervised learning process. Imbalance is case in which the example in training data belonging to one class is heavily outnumber the examples in the other class. Applying classifier to this dataset results in the failure of classifier to learn the minority class. Synthetic Minority Oversampling Technique (SMOTE) is a well known over-sampling method that tackles imbalance in data level. SMOTE creates synthetic example between two close vectors that lay together. Our study considers three improvements of SMOTE and call them as SMOTE-Out, SMOTE-Cosine, and Selected-SMOTE, in order to cover cases which are not already done by SMOTE. To investigate the proposed method, our experiments were conducted with eighteen different datasets. The results show that our proposed SMOTE give some improvements of B-ACC and F1-Score.
{"title":"SMOTE-Out, SMOTE-Cosine, and Selected-SMOTE: An enhancement strategy to handle imbalance in data level","authors":"Fajri Koto","doi":"10.1109/ICACSIS.2014.7065849","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065849","url":null,"abstract":"The imbalanced dataset often becomes obstacle in supervised learning process. Imbalance is case in which the example in training data belonging to one class is heavily outnumber the examples in the other class. Applying classifier to this dataset results in the failure of classifier to learn the minority class. Synthetic Minority Oversampling Technique (SMOTE) is a well known over-sampling method that tackles imbalance in data level. SMOTE creates synthetic example between two close vectors that lay together. Our study considers three improvements of SMOTE and call them as SMOTE-Out, SMOTE-Cosine, and Selected-SMOTE, in order to cover cases which are not already done by SMOTE. To investigate the proposed method, our experiments were conducted with eighteen different datasets. The results show that our proposed SMOTE give some improvements of B-ACC and F1-Score.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127540469","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065873
Fadhilah Syafria, A. Buono, B. P. Silalahi
One way to evaluate the state of the lungs is by listening to breath sounds using stethoscope. This technique is known as auscultation. This technique is fairly simple and inexpensive, but it has some disadvantage. They are the results of subjective analysis, human hearing is less sensitive to low frequency, environmental noise and pattern of lung sounds that almost similar. Because of these factors, misdiagnosis can occur if procedure of auscultation is not done properly. In this research, will be made a model of lung sound recognition with neural network approach. Artificial neural network method used is Backpropagation (BP) and learning Vector Quantization (LVQ). Comparison of these two methods performed to determine and recommend algorithms which provide better recognition accuracy of speech recognition in the case of lung sounds. In addition to the above two methods, the method of Mel Frequency Cepstrum Coefficient (MFCC) is also used as method of feature extraction. The results show the accuracy of using Backpropagation is 93.17%, while the value of using the LVQ is 86.88%. It can be concluded that the introduction of lung sounds using Backpropagation method gives better performance compared to the LVQ method for speech recognition cases of lung sounds.
{"title":"A comparison of backpropagation and LVQ: A case study of lung sound recognition","authors":"Fadhilah Syafria, A. Buono, B. P. Silalahi","doi":"10.1109/ICACSIS.2014.7065873","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065873","url":null,"abstract":"One way to evaluate the state of the lungs is by listening to breath sounds using stethoscope. This technique is known as auscultation. This technique is fairly simple and inexpensive, but it has some disadvantage. They are the results of subjective analysis, human hearing is less sensitive to low frequency, environmental noise and pattern of lung sounds that almost similar. Because of these factors, misdiagnosis can occur if procedure of auscultation is not done properly. In this research, will be made a model of lung sound recognition with neural network approach. Artificial neural network method used is Backpropagation (BP) and learning Vector Quantization (LVQ). Comparison of these two methods performed to determine and recommend algorithms which provide better recognition accuracy of speech recognition in the case of lung sounds. In addition to the above two methods, the method of Mel Frequency Cepstrum Coefficient (MFCC) is also used as method of feature extraction. The results show the accuracy of using Backpropagation is 93.17%, while the value of using the LVQ is 86.88%. It can be concluded that the introduction of lung sounds using Backpropagation method gives better performance compared to the LVQ method for speech recognition cases of lung sounds.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116821587","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065826
Mustapha Hemis, B. Boudraa
Digital watermarking is a technique that consists in hiding binary information within a signal in an imperceptibly way. This technique plays an important role for copyright protection of multimedia data. In this paper an efficient robust audio watermarking algorithm based on double transforms is introduced. In a first step, the original signal is decomposed by discrete wavelet transform (DWT). Then the prominent approximation coefficients are segmented in non-overlapping 2D blocks. Singular value decomposition (SVD) is applied on each one. The watermark is embedded in the singular values (SVs) for each block. Watermark extraction is non-blind and it's done by performing inverse operation of embedding process. Experimental results show that this scheme provides high robustness against common signal processing attacks such as noise addition, resampling, filtering, MP3 compression and maintains good perceptual transparency. In addition, this method use a double key for insertion and extraction, making it suitable for secure application such as copyright protection.
{"title":"Digital watermarking in audio for copyright protection","authors":"Mustapha Hemis, B. Boudraa","doi":"10.1109/ICACSIS.2014.7065826","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065826","url":null,"abstract":"Digital watermarking is a technique that consists in hiding binary information within a signal in an imperceptibly way. This technique plays an important role for copyright protection of multimedia data. In this paper an efficient robust audio watermarking algorithm based on double transforms is introduced. In a first step, the original signal is decomposed by discrete wavelet transform (DWT). Then the prominent approximation coefficients are segmented in non-overlapping 2D blocks. Singular value decomposition (SVD) is applied on each one. The watermark is embedded in the singular values (SVs) for each block. Watermark extraction is non-blind and it's done by performing inverse operation of embedding process. Experimental results show that this scheme provides high robustness against common signal processing attacks such as noise addition, resampling, filtering, MP3 compression and maintains good perceptual transparency. In addition, this method use a double key for insertion and extraction, making it suitable for secure application such as copyright protection.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123451494","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065893
Riva Aktivia, Taufik Djatna, Yani Nurhadryani
Currently visual usability for mobile applications is a must, whilst more demand for personalized the design both aesthetic and personal preference dynamically. It was designed to ease people with high mobility. When designing user interface, designers focus on visual usability, user needs, and user preferences. Each user has different preferences about interface designs because of their personality. In this paper, we proposed a visual usability design for mobile application based on user personality. Our approach was based on psychological aspects that enabled to perform personal preference appointing to specific visual usability of preferred experiences. The objectives of this paper are to identify and formulate rules for interface design in mobile application based on user personality. Kansei engineering is a method to get user needs and user preferences based on his or her senses and cognition. Association rule mining and bond measure is a method for finding a relationship between user preferences and user personality.
{"title":"Visual usability design for mobile application based on user personality","authors":"Riva Aktivia, Taufik Djatna, Yani Nurhadryani","doi":"10.1109/ICACSIS.2014.7065893","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065893","url":null,"abstract":"Currently visual usability for mobile applications is a must, whilst more demand for personalized the design both aesthetic and personal preference dynamically. It was designed to ease people with high mobility. When designing user interface, designers focus on visual usability, user needs, and user preferences. Each user has different preferences about interface designs because of their personality. In this paper, we proposed a visual usability design for mobile application based on user personality. Our approach was based on psychological aspects that enabled to perform personal preference appointing to specific visual usability of preferred experiences. The objectives of this paper are to identify and formulate rules for interface design in mobile application based on user personality. Kansei engineering is a method to get user needs and user preferences based on his or her senses and cognition. Association rule mining and bond measure is a method for finding a relationship between user preferences and user personality.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128710026","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065824
Wanthanee Prachuabsupakij, N. Soonthornphisaj
The aim of this paper is to propose a method namely CLUSS - CLUstering and SMOTE Sampling that can improve the prediction performance on multiclass imbalanced problem with students' performance data. Firstly, the clustering approach is used to create a new subset from all majority classes. The new subsets consists of the groups of majority classes instances which have different characteristics. Secondly, oversampling technique is applied to generate the new synthetic minority class instances. Then, CLUSS constructs the new training set by combining all minority class instances and the majority class instances in each subset. Finally, for each training set decision tree is used as a classifier to predict the classes via majority vote. The experimental results show that CLUSS achieved high performance on both majority and minority classes.
{"title":"Hybrid sampling for multiclass imbalanced problem: Case study of students' performance prediction","authors":"Wanthanee Prachuabsupakij, N. Soonthornphisaj","doi":"10.1109/ICACSIS.2014.7065824","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065824","url":null,"abstract":"The aim of this paper is to propose a method namely CLUSS - CLUstering and SMOTE Sampling that can improve the prediction performance on multiclass imbalanced problem with students' performance data. Firstly, the clustering approach is used to create a new subset from all majority classes. The new subsets consists of the groups of majority classes instances which have different characteristics. Secondly, oversampling technique is applied to generate the new synthetic minority class instances. Then, CLUSS constructs the new training set by combining all minority class instances and the majority class instances in each subset. Finally, for each training set decision tree is used as a classifier to predict the classes via majority vote. The experimental results show that CLUSS achieved high performance on both majority and minority classes.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127605845","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065859
Ralph Vincent J. Regalado, Jenina L. Chua, J. L. Co, H. C. Cheng, Angelo Bruce L. Magpantay, Kristine Kalaw
With the popularity of the Internet and social media platforms, information that is potentially useful in disaster response becomes available online in the hours and days immediately following a disaster. The use of information extraction in retrieving relevant disaster information from all these crowdsourced data would provide more information coming from both official reports, and the affected people themselves which in turn facilitate better decision making environments for disaster managers. This paper describes a system which performs an adaptive information retrieval of disaster related information coming from Twitter. Result shows 94.33% accuracy when extracting disaster and location information in the typhoon corpus while 90.79% accuracy for the fire corpus.
{"title":"Adaptive information extraction of disaster information from Twitter","authors":"Ralph Vincent J. Regalado, Jenina L. Chua, J. L. Co, H. C. Cheng, Angelo Bruce L. Magpantay, Kristine Kalaw","doi":"10.1109/ICACSIS.2014.7065859","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065859","url":null,"abstract":"With the popularity of the Internet and social media platforms, information that is potentially useful in disaster response becomes available online in the hours and days immediately following a disaster. The use of information extraction in retrieving relevant disaster information from all these crowdsourced data would provide more information coming from both official reports, and the affected people themselves which in turn facilitate better decision making environments for disaster managers. This paper describes a system which performs an adaptive information retrieval of disaster related information coming from Twitter. Result shows 94.33% accuracy when extracting disaster and location information in the typhoon corpus while 90.79% accuracy for the fire corpus.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122322564","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065856
M. U. Siregar, J. Derrick, Siobhán North, A. Simons
The Z notation is a language that can be used for writing formal specifications of a system since it is based on mathematical notation and logic. However, there is less tool support for this language that one might wish for. In this paper, Z2SAL, a translator for Z which translates the Z notation into a SAL input language, is explored. The generated SAL file can be used further by an existing model checker, specifically ones provided in the SAL tool suite. This paper describes experiences during conducting several experiments on the Z2SAL translator.
{"title":"Experiences using Z2SAL","authors":"M. U. Siregar, J. Derrick, Siobhán North, A. Simons","doi":"10.1109/ICACSIS.2014.7065856","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065856","url":null,"abstract":"The Z notation is a language that can be used for writing formal specifications of a system since it is based on mathematical notation and logic. However, there is less tool support for this language that one might wish for. In this paper, Z2SAL, a translator for Z which translates the Z notation into a SAL input language, is explored. The generated SAL file can be used further by an existing model checker, specifically ones provided in the SAL tool suite. This paper describes experiences during conducting several experiments on the Z2SAL translator.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133958891","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 : 2014-10-01DOI: 10.1109/ICACSIS.2014.7065882
Azrifirwan, Taufik Djatna
Human evaluation have common shortage to capture vagueness and uncertainty while input multivariate data due to characteristics such relationship between packaging design attributes and customer requirement and perception about the package. In Kansei Engineering (KE), customer perceptions about a product tend to define the product value and this considered as whole of product attribute. The main objective of this work is to provide the designer with a robust formulation to make relationship between design element and customer perception. Then we proposed decision rules in order to get affective knowledge in bottle packaging design by using Bayesian Rough set method. This paper provided a construction of decision rules between design elements and customer perceptions such as slim shape of bottle body and bright colored of bottle cap to describe a modern bottling design. The result showed that Bayesian Rough Set model effectively extracted the decision rules of human evaluation data in designing beverage bottle from the intuition of customer perception. In conclusion our approach supported the design processes and eased the designer tasks.
{"title":"Bayesian rough set model in hybrid Kansei Engineering for beverage packaging design","authors":"Azrifirwan, Taufik Djatna","doi":"10.1109/ICACSIS.2014.7065882","DOIUrl":"https://doi.org/10.1109/ICACSIS.2014.7065882","url":null,"abstract":"Human evaluation have common shortage to capture vagueness and uncertainty while input multivariate data due to characteristics such relationship between packaging design attributes and customer requirement and perception about the package. In Kansei Engineering (KE), customer perceptions about a product tend to define the product value and this considered as whole of product attribute. The main objective of this work is to provide the designer with a robust formulation to make relationship between design element and customer perception. Then we proposed decision rules in order to get affective knowledge in bottle packaging design by using Bayesian Rough set method. This paper provided a construction of decision rules between design elements and customer perceptions such as slim shape of bottle body and bright colored of bottle cap to describe a modern bottling design. The result showed that Bayesian Rough Set model effectively extracted the decision rules of human evaluation data in designing beverage bottle from the intuition of customer perception. In conclusion our approach supported the design processes and eased the designer tasks.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132667630","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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