{"title":"Personal DJ cloud: That can provide programs suitable for user preference and cognitive situations for a smart phone","authors":"Shinichiro Sega, H. Iwasaki, H. Hiraishi","doi":"10.1109/ICCI-CC.2012.6311148","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311148","url":null,"abstract":"In this paper, we have described our Personal DJ Cloud (PDJC), which can provide sequence of contents (Program) suitable for user preference and cognitive situations for a smart phone. The program is in combination with music contents, Internet radio, podcasts and text-to-speech (TTS) of Really Simple Syndication (RSS) contents. Bayesian Network estimates user preference and situations and Constraint Satisfaction generates practical programs in which they are reflected. And the cloud computing allows PDJC to gather Internet contents suitable for user preference efficiently. Through our user evaluation, we clarified that our PDJC can reduce the number of user's operations and generate programs of higher degree of satisfaction. So, PDJC has proposed the framework of applications design of considering with user preference and user's cognitive situations in use of smart phone.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121790074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A scheduling method in semiconductor manufacturing lines based on ant colony optimization","authors":"Wuzhao Li, Weian Guo, Lei Wang, Xingjuan Cai","doi":"10.1109/ICCI-CC.2012.6311128","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311128","url":null,"abstract":"As is well known, the semiconductor manufacturing is one of the most complicated manufacturing processes. It can be considered as a Job shop Scheduling Problem(JSP), which is classified NP-complete problem. In this kind of problem, the combination of goals and resources can exponential increase the complexity, because a much larger searching space and more constrains exist among tasks. Ant colony optimization, as an effective meat-heuristic technique, can be adopted to find a optimized solution. In this paper, the scheduling problem of semiconductor manufacturing lines is solved by adopting ant colony optimization. The result shows that ACO performs better than some other well known algorithms and the problem can be well solved by ACO.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116284598","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}
Zhanfang Chang, X. Ban, Yuan Yao, Binghu Chang, Di Wu
{"title":"Personalized information retrieval base-on user interest state","authors":"Zhanfang Chang, X. Ban, Yuan Yao, Binghu Chang, Di Wu","doi":"10.1109/ICCI-CC.2012.6311197","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311197","url":null,"abstract":"Different users have different needs, even the same user may have different desires in different time, Personalized Information Retrieval makes search results meet different users' information requirement. In this paper, a kind of user interest recognition algorithm is proposed, which can analyze the user interest state and identify the user's Temporary interest; And a state-based user interest model is developed, In this model, user interest is recognized by the algorithm mentioned above, and users' characteristic is extracted and Dynamic weighted, then gray relational analysis is introduced to for the comprehensive consideration of two aspects above. The experimental result indicates that the average push accuracy is above 70% and the push service is more accurate for the user who has a long interest cycle.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128868636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An ontology-based method for personalized recommendation","authors":"Jike Ge, Zuqin Chen, Jun Peng, Taifu Li","doi":"10.1109/ICCI-CC.2012.6311204","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311204","url":null,"abstract":"Recommender systems aim to provide users with personalized suggestions about information items, products or services that are likely to be of their interests. The traditional syntactic-based recommender systems suffer from a number of shortcomings for the information available on the internet has been designed to be readable only by humans and computer systems can not effectively process nor interpret the data present in it. As one Semantic Web technology, Ontology facilitates the knowledge sharing, reuse, communication, collaboration and construction of knowledge rich and intensive systems. Adding semantically empowered techniques to recommender systems can significantly improve the overall quality of recommendations. In this paper, an ontology-based method for personalized recommendation of knowledge in the heterogeneous environment is presented, which provides users with an autonomous tool that is able to minimize repetitive and tedious retrieved information. It constructs a domain ontology by integrating multi-resource and heterogeneous data, generates a user's interest ontology by analyzing the user's demographic characteristics and personal preferences. Based on the matching results of the domain ontology, user's query requests and interest ontology, the recommender system can suggest the proper information to the user who is likely interested in the related topics. Finally, qualitative evaluation is carried out in order to demonstrate the effectiveness of the proposed method.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115419493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mobile symbiotic interaction between a user and a Personal Assistant agent","authors":"K. Sugawara, Y. Manabe, S. Fujita","doi":"10.1109/ICCI-CC.2012.6311172","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311172","url":null,"abstract":"In this paper, we propose a concept of an Mobile symbiotic interaction (MSI) between a user and a Personal Assistant (PA) which is an agent program that watches over the particular user using sensors deployed in a ubiquitous environment. The PA un derstands user's behavior through signals from the MSI. It is prototyped using the OMAS platform to aim at enhancing a relation between a user and his/her own PA by verbal interface and non-verbal interface which are realized in the proposed MSI.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117276641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Three-dimensional field of view estimation in occlusion-rich environments","authors":"Jun-ichi Imai","doi":"10.1109/ICCI-CC.2012.6311170","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311170","url":null,"abstract":"Human-symbiotic robots will work mainly in daily living spaces for humans. Since generally there are many objects which can cause visual occlusion in these environments, it will often occur that a robot cannot see an object by occlusion while a user can, and vice versa. In such situations, it is desirable for the human-symbiotic robot to be able to interact with a user while recognizing a difference between their fields of view. In this paper, we propose a system for estimating a user's three-dimensional field of view using a camera and depth sensor. First the user's head position is detected using the particle filter, and then its pose is estimated using histograms of horizontal edge components in the head image. Finally, based on the specified head pose, the user's three-dimensional field of view are detected in pixels in the image. Experimental results show that our method works effectively. It is expected that the proposed system enables the robot to recognize regions where the user can see and cannot see from his or her own position, and to behave appropriately while recognizing the difference between their perceptions.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"93 52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123414018","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}
Hung-Hsuan Huang, Hiroki Matsushita, K. Kawagoe, Yoichi Sakai, Y. Nonaka, Y. Nakano, K. Yasuda
{"title":"Toward a memory assistant companion for the individuals with mild memory impairment","authors":"Hung-Hsuan Huang, Hiroki Matsushita, K. Kawagoe, Yoichi Sakai, Y. Nonaka, Y. Nakano, K. Yasuda","doi":"10.1109/ICCI-CC.2012.6311164","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311164","url":null,"abstract":"With the increasing average life expectancy of world population, there are more and more dementia patients, and the needs of assistive technology emerges. According to the literature, the progress of cognitive impairment can be suppressed to be slower if the patients is constantly in calm mood. An effective way is suggested by keeping them in social relationship with others. With the goal of developing a conversational humanoid that can serve as a companion for dementia patients, we propose an autonomous virtual agent that can generate back channel feedback, such as head nods and verbal acknowledgment, on the basis of acoustic information in the user's speech. The system is also capable of speech recognition and language understanding functionalities. In order to compensate the companionship of the agent and the ability to assist the user's memory, we are developing a memory vest which is equipped with portable devices including an Android smartphone, two IC audio recorders, and a digital video recorder to log the daily life of the patient. The gathered activity history database can then be used to enrich the dialogue ability of the agent and for helping the user to recall his / her own memory.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127248250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An intelligent digital colour image watermarking approach based on wavelets and general regression neural networks","authors":"Hieu V. Dang, W. Kinsner","doi":"10.1109/ICCI-CC.2012.6311135","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311135","url":null,"abstract":"In this paper, we propose a new intelligent, robust and adaptive digital watermarking technique for colour images based on the combination of discrete wavelet transform (DWT), human visual system (HVS) model and general regression neural network (GRNN). First, the RGB image is converted to YCrCb image, and then the luminance component Y is decomposed by DWT. Wavelet coefficients are then analyzed by a HVS model to select suitable coefficients for embedding the watermark. The watermark bits are embedded into the selected coefficients by training a GRNN. At the decoder, the trained GRNN is used to recover the watermark from the watermarked image. The experimental results show that our proposed approach achieves robustness and imperceptibility in watermarking.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132491335","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}
Karina Jaime, Gustavo Torres, Félix F. Ramos, Gregorio García
{"title":"A proposed model for visual memory identification","authors":"Karina Jaime, Gustavo Torres, Félix F. Ramos, Gregorio García","doi":"10.1109/ICCI-CC.2012.6311202","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311202","url":null,"abstract":"Memory is an important process of human behaviour. In particular visual memory the brain to encode, store, and retrieve acquired knowledge about the environment. The visual memory system involves different kinds of processes, such as sensory input and short-term visual memory. The model presents a first approach for visual memory recognition that supports the three stages mentioned above. The model design is based on neuroscience results. This document presents only the memory system specifications that support a cognitive architecture for visual object identification. We validated the model with two case studies: known and unknown stimulus.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127848537","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}