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

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Dynamic generation of dilemmas in virtual learning environments for non-technical skills training 在非技术技能培训虚拟学习环境中动态生成困境
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862040
Azzeddine Benabbou, D. Lourdeaux, D. Lenne
{"title":"Dynamic generation of dilemmas in virtual learning environments for non-technical skills training","authors":"Azzeddine Benabbou, D. Lourdeaux, D. Lenne","doi":"10.1109/ICCI-CC.2016.7862040","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862040","url":null,"abstract":"Critical situations are situations where a complementarity between technical and non-technical skills is crucial. Several critical dimensions characterize them. In order to train for such situations, simulation systems have to be able to generate scenarios where these dimensions are present in order to solicit one or several non-technical skills. In this paper we focus on one particular critical dimension which is the “Dilemma”. We present our approach for dynamically generating dilemma-based situations using activity and causality models.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131074924","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
Performance of Licklider transmission protocol (LTP) in LEO-satellite communications with link disruptions 链路中断时Licklider传输协议(LTP)在leo卫星通信中的性能
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862028
Ding Wang
{"title":"Performance of Licklider transmission protocol (LTP) in LEO-satellite communications with link disruptions","authors":"Ding Wang","doi":"10.1109/ICCI-CC.2016.7862028","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862028","url":null,"abstract":"Near Earth missions ranging from low-Earth orbit (LEO) to Earth-Sun Lagrangian points will continue to be a majority of future space missions. A few works have been done with delay/disruption tolerant networking (DTN) technology for LEO-satellite communications and provided feasibility for its adoption in LEO space missions. However, no much work has been done to fully evaluate the performance of DTN in such an environment, especially in the presence of long link disruption, data corruption and loss, and link asymmetry. In this paper, we present an experimental performance evaluation of DTN architecture and protocol stack, with Licklider transmission protocol (LTP) serving as a convergence layer adapter (CLA) underneath bundle protocol (BP), in a typical LEO-satellite communication infrastructure accompanied by a very long link outage, various packet corruption and loss rates, and channel rate symmetry and asymmetry. The experiment was conducted by performing realistic file transfers over a PC-based test-bed.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122233343","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: 8
A new multifunctional neural network with high performance and low energy consumption 一种新型高性能、低能耗的多功能神经网络
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862082
L. M. Zhang
{"title":"A new multifunctional neural network with high performance and low energy consumption","authors":"L. M. Zhang","doi":"10.1109/ICCI-CC.2016.7862082","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862082","url":null,"abstract":"A common artificial neural network (ANN) uses the same activation function for all hidden and output neurons. Therefore, it has an optimization limitation for complex big data analysis due to its single mathematical functionality. In addition, an ANN with a complicated activation function uses a very long training time and consumes a lot of energy. To address these issues, this paper presents a new energy-efficient “Multifunctional Neural Network” (MNN) that uses a variety of different activation functions to effectively improve performance and significantly reduce energy consumption. A generic training algorithm is designed to optimize the weights, biases, and function selections for improving performance while still achieving relatively fast computational time and reducing energy usage. A novel general learning algorithm is developed to train the new energy-efficient MNN. For performance analysis, a new “Genetic Deep Multifunctional Neural Network” (GDMNN) uses genetic algorithms to optimize the weights and biases, and selects the set of best-performing energy-efficient activation functions for all neurons. The results from sufficient simulations indicate that this optimized GDMNN can perform better than other GDMNNs in terms of achieving high performance (prediction accuracy), low energy consumption, and fast training time. Future works include (1) developing more effective energy-efficient learning algorithms for the MNN for data mining application problems, and (2) using parallel cloud computing methods to significantly speed up training the MNN.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127359529","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
Learnings and innovations in speech recognition 语音识别的学习和创新
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862097
F. Beaufays
{"title":"Learnings and innovations in speech recognition","authors":"F. Beaufays","doi":"10.1109/ICCI-CC.2016.7862097","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862097","url":null,"abstract":"In the last ten years, speech recognition has evolved from a science fiction dream to a widespread input method for mobile devices. In this talk, I will describe how speech recognition works, the problems we have solved and the challenges that remain. I will touch upon some of Google's main efforts in language and pronunciation modeling, and describe how the adoption of neural networks for acoustic modeling marked the beginning of a technology revolution in the field, with approaches such as Long Short Term Memory models and Connectionist Temporal Classification. I will also share my learnings on how Machine Learning and Human Knowledge can be harmoniously combined to build state-of-the-art technology that helps and delights users across the world.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114201858","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
Logical consensuses for case-based reasoning and for mathematical engineering of AI 基于案例推理和人工智能数学工程的逻辑共识
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862041
É. Grégoire, Jean-Marie Lagniez, Du Zhang
{"title":"Logical consensuses for case-based reasoning and for mathematical engineering of AI","authors":"É. Grégoire, Jean-Marie Lagniez, Du Zhang","doi":"10.1109/ICCI-CC.2016.7862041","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862041","url":null,"abstract":"We claim that computing forms of consensus among several agents about their solutions to past problems can play a useful pre-treatment role in case-based reasoning. Intuitively, we define a consensus as a subset of the plain accumulation of all the agents' individual past discovered solutions such that every agent can agree on all the information in this subset. A consensus can be expected to form a more reliable basis for further re-use or generalization than the knowledge from which it is extracted. We define various forms of logical consensus in this context: the focus is on computational issues about the automated extraction of consensuses in an extended Boolean logic setting.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132380340","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
Techniques for cognition of driving context for safe driving application 驾驶环境认知技术在安全驾驶中的应用
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862066
Giacomo Briochi, M. Colombetti, M. D. Hina, Assia Soukane, A. Ramdane-Cherif
{"title":"Techniques for cognition of driving context for safe driving application","authors":"Giacomo Briochi, M. Colombetti, M. D. Hina, Assia Soukane, A. Ramdane-Cherif","doi":"10.1109/ICCI-CC.2016.7862066","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862066","url":null,"abstract":"In this work, given the context of the driver, of the vehicle and of the environment, our objective is to correctly recognize the traffic situation and provide the driver with the corresponding assistance by providing notification or alert about the situation or the infraction that was committed, or acting directly on the vehicle. To do so, we need to consider the signal processing related to these context parameters. We built knowledge representation using ontology, built rules related to the fusion of context parameters and the deduction corresponding to the traffic situation using Semantic Web Rule Language. We built fission component that deals with traffic situation and the corresponding action directed towards the driver or the vehicle. Ontology is used to represent driving model and road environment. This work is our contribution in the ongoing research for the prevention of vehicular traffic accident.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123103117","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: 4
Ranking preferences deduction based on semantic similarity for the stable marriage problem 基于语义相似度的稳定婚姻问题排序偏好演绎
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862088
Michaël Guedj
{"title":"Ranking preferences deduction based on semantic similarity for the stable marriage problem","authors":"Michaël Guedj","doi":"10.1109/ICCI-CC.2016.7862088","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862088","url":null,"abstract":"The stable marriage problem is a well-known problem with many practical applications. Most algorithms to find stable marriages assume that the participants explicitly express a preference ordering. This can be problematic when the number of options is large or has a combinatorial structure. We show, by simply asking the actors (men and women) to fulfill a personal profile with items positioning in a tree-structured semantic network, that it is possible to solve the problem of stable marriages without asking the actors to explicitly operate a ranking over the members of the opposite sex.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126602731","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
Disaster-aware smart routing scheme based on symbiotic computing for highly-available information storage systems 基于共生计算的高可用性信息存储系统容灾智能路由方案
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862026
S. Izumi, Asato Edo, Toru Abe, T. Suganuma
{"title":"Disaster-aware smart routing scheme based on symbiotic computing for highly-available information storage systems","authors":"S. Izumi, Asato Edo, Toru Abe, T. Suganuma","doi":"10.1109/ICCI-CC.2016.7862026","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862026","url":null,"abstract":"In this paper, we propose a disaster-aware smart routing scheme for highly-available information storage systems. Our proposed scheme is based on the concept of Symbiotic Computing to recognize disaster status in Real Space, and provides appropriate routes form Digital Space dynamically. This realizes effective data transmission considering disaster situation and its time variation. We have designed architecture of our proposed scheme and conducted basic experimentation. In this paper, we extend its architecture based on the Symbiotic Computing and evaluate its effectiveness through complex network environments.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116822045","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
Semantic computing of simplicity in attributed generalized trees 属性广义树中简单性的语义计算
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862043
Mahsa Kiani, V. Bhavsar, H. Boley
{"title":"Semantic computing of simplicity in attributed generalized trees","authors":"Mahsa Kiani, V. Bhavsar, H. Boley","doi":"10.1109/ICCI-CC.2016.7862043","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862043","url":null,"abstract":"In earlier work, Attributed Generalized Tree (AGT) structures, having vertex labels, edge labels, and edge weights have been introduced. AGTs can represent knowledge in domains containing rich semantic/pragmatic object-centered descriptions as well as complex relations between objects. Therefore, AGTs have applications in many domains such as health, business, and finance (e.g., insurance underwriting). In this paper, we introduce a function to quantify the simplicity of an arbitrary AGT. Our simplicity function takes into account branch, position, and weight factors; it maps the structure to a value in the interval [0,1]. The recursive simplicity algorithm performs a top-down traversal of the AGT and computes its simplicity bottom-up. Characteristic properties of the AGT simplicity measure are analyzed, and AGTs in a test dataset are ranked based on their simplicity values computed using our simplicity algorithm. The experimental analysis confirms our expectation that the simplicity value decreases with increasing the complexity of AGT structure.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129875206","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
An information theoretic criterion for adaptive multiobjective memetic optimization 自适应多目标模因优化的信息论准则
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862030
Hieu V. Dang, W. Kinsner
{"title":"An information theoretic criterion for adaptive multiobjective memetic optimization","authors":"Hieu V. Dang, W. Kinsner","doi":"10.1109/ICCI-CC.2016.7862030","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862030","url":null,"abstract":"Multiobjective memetic optimization algorithms (MMOAs) are recently applied to solve nonlinear optimization problems with conflicting objectives. An important issue in an MMOA is how to identify the relative best solutions to guide its adaptive processes. Pareto dominance has been used extensively to find the relative relations between solutions for the fitness assessment in multiobjective optimization based on evolutionary algorithms (MOEA). However, the approach based on the Pareto dominance criterion decreases its convergence speed when the number of objectives increases. In this paper, we propose an effective information-theoretic criterion based on the multiscale relative Rényi entropy to guide the adaptive selection, clustering, and local learning processes in our framework of adaptive multiobjective memetic optimization algorithms (AMMOA). The implementation of AMMOA is applied to several benchmark test problems with remarkable results.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128608536","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
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