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2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)最新文献

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The hybrid intelligence swam algorithm for berth-quay cranes and trucks scheduling optimization problem 基于混合智能游动算法的泊位码头起重车辆调度优化问题
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862049
Yi Liu, Tieqiao Liu
{"title":"The hybrid intelligence swam algorithm for berth-quay cranes and trucks scheduling optimization problem","authors":"Yi Liu, Tieqiao Liu","doi":"10.1109/ICCI-CC.2016.7862049","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862049","url":null,"abstract":"Considered the cooperation of the container truck and quayside container crane in the container terminal, this paper constructs the model of the quay cranes operation and trucks scheduling problem in the container terminal. And the hybrid intelligence swarm algorithm combined the particle swarm optimization algorithm(PSO) with artificial fish swarm algorithm (AFSA) was proposed. The hybrid algorithm (PSO-AFSA) adopt the particle swarm optimization algorithm to produce diverse original paths, optimization of the choice nodes set of the problem, use AFSA's preying and chasing behavior improved the ability of PSO to avoid being premature. the proposed algorithm has more effectiveness, quick convergence and feasibility in solving the problem. The results of stimulation show that the scheduling operation efficiency of container terminal is improved and optimized.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132060593","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}
引用次数: 1
Sentiment user profile analysis based on forgetting curve in mobile environments 移动环境下基于遗忘曲线的情感用户特征分析
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862036
Sang-Min Park, D. Baik, Young-Gab Kim
{"title":"Sentiment user profile analysis based on forgetting curve in mobile environments","authors":"Sang-Min Park, D. Baik, Young-Gab Kim","doi":"10.1109/ICCI-CC.2016.7862036","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862036","url":null,"abstract":"The user profile is a way of describing user characteristics using collected information about what the user prefers. However, it cannot be used for other applications with a general purpose, because it is generally created for personal recommendation and search. Furthermore, there are restrictions to analyze the user profile in terms of temporal influence in mobile environments. In this paper, in order to overcome these limitations, we propose a sentiment user profile analysis, which can analyze individual user characteristics based on the forgetting curve in mobile environments. In order to evaluate the effectiveness and feasibility of the proposed analysis, it has been implemented and applied to clothing domain. Experimental results show that the proposed analysis extracts the individual user characteristics with better accuracy than the existing method.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133550076","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}
引用次数: 12
A geometrical and logical unification of mind, light and matter 精神、光和物质在几何和逻辑上的统一
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862034
Wen-Ran Zhang
{"title":"A geometrical and logical unification of mind, light and matter","authors":"Wen-Ran Zhang","doi":"10.1109/ICCI-CC.2016.7862034","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862034","url":null,"abstract":"It is shown that an unexpected logical exposition of Dirac 3-polarizer experiment leads to a bipolar equilibrium-based geometrical and logical architecture for the unification of mind, light and matter. It is argued that, without light as a bridge, mind-matter unification would be impossible. An axiomatic proof is presented for the unification with an extension to Gödel's incompleteness theorems. Bipolar knowledge representation is illustrated in computational psychopharmacology and information conservational quantum computing. The logical basis of this work is philosophically distinguished from that of Aristotle, Leibniz and Bohr.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127847843","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}
引用次数: 14
Formal description of a supervised learning algorithm for concept elicitation by cognitive robots 认知机器人概念启发的监督学习算法的形式化描述
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862014
Yingxu Wang, Omar A. Zatarain, M. Valipour
{"title":"Formal description of a supervised learning algorithm for concept elicitation by cognitive robots","authors":"Yingxu Wang, Omar A. Zatarain, M. Valipour","doi":"10.1109/ICCI-CC.2016.7862014","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862014","url":null,"abstract":"Concept elicitation is centric for machine knowledge extraction and representation in cognitive robot learning. This paper presents a supervised methodology for machine concept elicitation from informal counterparts described in natural languages. The collective opinions of a given concept in ten selected dictionaries are quantitatively analyzed and formally represented according to the attribute-object-relation (OAR) pattern of formal concepts. The concept elicitation methodology for machine learning is aimed to deal with complex problems inherited in informal concepts of natural languages such as diversity, redundancy, ambiguity, inexplicit semantics, inconsistent attributes/objects, mixed synonyms, and fuzzy hyper-/hypo-concept relations. The system of formal concept elicitation is implemented by an algorithms in MATLAB for formal concept extraction and representation. Experiments on supervised machine learning for creating twenty primitive concepts reveal that a cognitive robot is able to learn synergized concepts in human knowledge in order to build its own cognitive knowledge base.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116340421","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}
引用次数: 6
Ensemble cuckoo search biclustering of the gene expression data 集合布谷鸟搜索双聚类的基因表达数据
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862071
Lu Yin, Yongguo Liu
{"title":"Ensemble cuckoo search biclustering of the gene expression data","authors":"Lu Yin, Yongguo Liu","doi":"10.1109/ICCI-CC.2016.7862071","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862071","url":null,"abstract":"Many biclustering algorithms have been proposed in analyzing the gene expression data and ensemble biclustering methods can improve performance of the biclustering algorithm. We propose a new method of obtaining a variety of constituent biclusters which use different quality measures of bicluster. To demonstrate the efficiency of our methods, experiment on six real gene expression data shows the diversity and biological significance of the biclusters obtained by our methods are higher than that of the compared methods.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132129812","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}
引用次数: 2
Active mining process for software quality estimation 软件质量评估的主动挖掘过程
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862046
S. Tsumoto, S. Hirano
{"title":"Active mining process for software quality estimation","authors":"S. Tsumoto, S. Hirano","doi":"10.1109/ICCI-CC.2016.7862046","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862046","url":null,"abstract":"Clinical environment is very complex, and flexible and adaptive service improvement is crucial in maintaining quality of medical care. Thus, incremental update of software service in a hospital information system (HIS) and its evaluation is important. This paper introduces an active mining process for development of a an embedded software in which service logs stored in HIS are used to calculate the test statistics for evaluation on the effect of introduction of a new alarming service for clinical practice. are used to measure the differences The results show that proposed method is useful to evaluate the system performance in a real clinical environment.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116698226","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}
引用次数: 0
Machine-learning approach to analysis of driving simulation data 驾驶模拟数据分析的机器学习方法
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862067
Akira Yoshizawa, Hiroyuki Nishiyama, H. Iwasaki, F. Mizoguchi
{"title":"Machine-learning approach to analysis of driving simulation data","authors":"Akira Yoshizawa, Hiroyuki Nishiyama, H. Iwasaki, F. Mizoguchi","doi":"10.1109/ICCI-CC.2016.7862067","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862067","url":null,"abstract":"In our study, we sought to generate rules for cognitive distractions of car drivers using data from a driving simulation environment. We collected drivers' eye-movement and driving data from 18 research participants using a simulator. Each driver drove the same 15-minute course two times. The first drive was normal driving (no-load driving), and the second drive was driving with a mental arithmetic task (load driving), which we defined as cognitive-distraction driving. To generate rules of distraction driving using a machine-learning tool, we transformed the data at constant time intervals to generate qualitative data for learning. Finally, we generated rules using a Support Vector Machine (SVM).","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127325729","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}
引用次数: 7
Meta-cognition for inferring car driver cognitive behavior from driving recorder data 从行车记录仪数据推断驾驶员认知行为的元认知
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-07-01 DOI: 10.4018/IJCINI.2016070101
F. Mizoguchi, H. Iwasaki
{"title":"Meta-cognition for inferring car driver cognitive behavior from driving recorder data","authors":"F. Mizoguchi, H. Iwasaki","doi":"10.4018/IJCINI.2016070101","DOIUrl":"https://doi.org/10.4018/IJCINI.2016070101","url":null,"abstract":"This study focused on driver behavior by inferring it from driving recorder data. We refer to this inference function as meta-cognition. Using this meta-cognition, we attempt to determine the characteristics of driver behavior on the highway. By comparing ACTR simulation results and recorder data, we investigated the driver cognitive process in highway driving in response to lane keeping, curve negotiation, and lane changing subtasks. In order for the driving experiment to be realistic, we use a simple driving recorder (type DVRGPS-04, made by Geanee Corporation in Japan) which is available on the public market. Using the driving recorder, we recorded the data on the highway. For the most part, we drove on the Shuto, Kanetsu, Jouban, and Joushinetsu highways from Meguro in Tokyo to Nagano or Kashiwa in Chiba. The recording time was about two hours, and the data was recorded as video images stored in a microSD memory card in the driving recorder.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130061642","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}
引用次数: 6
An action guided constraint satisfaction technique for planning problem 一种行动导向的规划问题约束满足技术
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-07-01 DOI: 10.4018/IJSSCI.2016070103
Xiao Jiang, P. Cui, Rui Xu, Ai Gao, Shengying Zhu
{"title":"An action guided constraint satisfaction technique for planning problem","authors":"Xiao Jiang, P. Cui, Rui Xu, Ai Gao, Shengying Zhu","doi":"10.4018/IJSSCI.2016070103","DOIUrl":"https://doi.org/10.4018/IJSSCI.2016070103","url":null,"abstract":"This paper presents an action guided constraint satisfaction technique for planning problem. Different from the standard algorithms which are almost domain independence and cannot reflect the characteristics of the planning progress, we discuss how the action rules in planning act in constraint satisfaction problems. Based on the conclusion, an action directed constraint is proposed to guide the variable selected procedure in constraint satisfaction problems. Through theoretical analysis, this technique is prior an order of magnitude in variable select procedure over the ordinary heuristic technique and can be used in constraint-programmed planning problem generally. With the simulation experiments it shows that the algorithm with action guided constraint can effectively reduce the number of constraint checks during the planning procedure and has a better performance on total running time over the standard version.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116503589","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}
引用次数: 3
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