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25th International conference on Neural Information Processing, ICONIP 2018

25th International Conference on Neural Information Processi...

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25th International conference on Neural Information Processing, ICONIP 2018

ISBN: (纸本)9783030042110

the proceedings contain 401 papers. the special focus in this conference is on Neural Information Processing. the topics include: Discovering similarities in malware behaviors by clustering of API call sequences;a storm-based parallel clustering algorithm of streaming data;iterative maximum clique clustering based detection filter;towards a compact and effective representation for datasets with inhomogeneous clusters;adaptive fuzzy clustering algorithm with local information and markov random field for image segmentation;efficient direct structured subspace clustering;privacy-preserving K-means clustering upon negative databases;self-paced multi-task multi-view capped-norm clustering;shape clustering as a type of procrustes analysis;anthropometric features based gait pattern prediction using random forest for patient-specific gait training;aspect-level sentiment classification with conv-attention mechanism;Attention-based combination of CNN and RNN for relation classification;discrete sparse hashing for cross-modal similarity search;solving the double dummy bridge problem with shallow autoencoders;cross-project issue classification based on ensemble modeling in a social coding world;decision tree twin support vector machine based on kernel clustering for multi-class classification;machine learning techniques for classification of livestock behavior;two-stage attention network for aspect-level sentiment classification;the fuzzy misclassification analysis with deep neural network for handling class noise problem;a neuronal morphology classification approach based on deep residual neural networks;Robust multi-view features fusion method based on CNMF;privacy-preserving naive bayes classification using fully homomorphic encryption;classification of calligraphy style based on convolutional neural network;tropical fruits classification using an alexnet-type convolutional neural network and image augmentation;supervised and semi-supervised multi-task binary classification.

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25th International conference on Neural Information Processing, ICONIP 2018

25th International Conference on Neural Information Processi...

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25th International conference on Neural Information Processing, ICONIP 2018

ISBN: (纸本)9783030042202

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25th International conference on Neural Information Processing, ICONIP 2018

25th International Conference on Neural Information Processi...

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25th International conference on Neural Information Processing, ICONIP 2018

ISBN: (纸本)9783030041816

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25th International conference on Neural Information Processing, ICONIP 2018

25th International Conference on Neural Information Processi...

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25th International conference on Neural Information Processing, ICONIP 2018

ISBN: (纸本)9783030042387

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Intersection-based Distance and Traffic-Aware Routing (IDTAR) protocol for smart vehicular communication 13

Intersection-based Distance and Traffic-Aware Routing (IDTAR...

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13th IEEE International Wireless Communications and Mobile Computing conference, IWCMC 2017

作者： Abdalla Ahmed, Abdelmuttlib Ibrahim Gani, Abdullah Ab Hamid, Siti Hafizah Khan, Suleman Guizani, Nadra Ko, Kwangman Malaysia Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia School of Information Technology Monash University Malaysia School of Electrical and Computer Engineering Purdue University West LafayetteIN47906 United States Dept. of Computer Engineering Sanji University Korea Republic of

ISBN: (纸本)9781509043729

the Vehicular Ad-hoc networks (VANET) raises as an emerging technology for smart transport as observed in the recent decade. However, there are some hurdles affect the applications of VANET, the advancement of VANET needed to cope up with the requirement of smart transport in smart cities. the routing is the important factor for having effective communication between smart vehicles, which need to be addressed smartly. Many factors affect the communication between the vehicles such as topology fragmentation which results in the phenomenon of local-Maximum-Problem that lead to packet delivery failure. the traditional routing schemes failed to address the problem of the trade-off between Packet-Delivery-Ratio and the high cost, in term of End-to-End-Delay, of packet recovery from the failures that occurs frequently because of local-Maximum-Problem. therefore, this article works out to analyses the performance of existing position-based routing protocols for Inter-vehicle ad-hoc network and introduced Intersection-based Distance and Traffic-Aware Routing (IDTAR) protocol. IDTAR aims to provide optimal performance in environments of smart transport in smart cities. the experiments evaluate IDTAR against famous position-based routing protocols such as GyTAR, A-STAR-SR and GSR considering several densities of vehicles. Simulation result shows that IDTAR protocol has a fewer End-to-End-Delay and high packet delivery ratio in smart cities circumstances. this concludes that IDTAR can be adaptive for smart transport in smart cities communication with some consideration in terms of its security, compatibility and reliability. © 2017 IEEE.

关键词： Vehicular ad hoc networks

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Secure Data Deduplication Scheme Based on Distributed Random Key in Integrated networks 3

Secure Data Deduplication Scheme Based on Distributed Random...

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3rd IEEE International conference on computer and Communications (ICCC)

作者： Qi, Hui Han, Yingjie Di, Xiaoqiang Sun, Fang Changchun Univ Sci & Technol Natl & Local Joint Engn Res Ctr Space & Optoelect Changchun Jilin Peoples R China

ISBN: (纸本)9781509063529

With the progress in space technologies, the future integrated network incorporating ground internet and spatial network is emerging as the times require. the particularity of space application requires secure transmission and storage of mass data. these data contain a lot of repeating data, which occupy an enormous storage space and many network bandwidth resources. How to efficiently delete the repeating data while ensuring the data confidentiality poses a great challenge to the data deduplication technology. this paper proposes a secure data deduplication scheme to be implemented in the integrated network In this scheme, many key servers are distributed into the entire network so that the client can be linked to several nearby key servers at any time. then a key generated by a key server is chosen randomly. the key fingerprint is saved to the key fingerprint server to ensure that the data with the same attributes can be encrypted by the same key for the purpose of ciphertext deduplication. the theoretical analysis shows that, compared with DupLESS and threshold blind signature, this scheme improves the security of the deduplication system, avoids a single point of failure, simplifies the signature verification, and thus reduces the computational overhead at the client side.

关键词： data deduplication secure data deduplication data encryption cloud storage

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AI programming by children using snap! Block programming in a developing country 13

AI programming by children using snap! Block programming in ...

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2018 EC-TEL Practitioner: 13th European conference On Technology Enhanced Learning, EC-TEL 2018

作者： Kahn, Ken Megasari, Rani Piantari, Erna Junaeti, Enjun Department of Education University of Oxford 15 Gardens Oxford United Kingdom Department of Computer Science Education Universitas Pendidikan Indonesia Indonesia

the development of human civilization today can't be separated from the Artificial Intelligence. To prepare for this, early education on Artificial intelligent should be done. Some activities have been done to support students making AI programs, for example Google AIY, Machine Learning for Kids website, the Wolfram Language, and the eCraft2Learn project. One of the new block programming languages Snap! has been extended to provide an easy-to-use interface that provides AI cloud services as well as other AI functions. However, there is little research about AI programming learning for children in developing countries. this paper presents how the learning of AI programming using Snap! programming in Indonesia. the learning process was evaluated with 40 Senior High Schools and Vocational students. 84% students had some basic programming experience but others had none. 70% students who had basic programming experience felt that AI programming using Snap! was easy to understand, yet the students with no programming experience found it difficult. Even though mostly the students can answer the evaluation question about how AI works and all the students were keen on creating AI programs using Snap!. We concluded that Snap! programing worked to introduce AI to children and help to provide enjoyable environment to explore AI programming. However, some improvements are required to improve the learning process of AI programing using Snap! in developing country. the improvements are presented in this paper as the result of this research. © 2018 CEUR-WS. All Rights Reserved.

关键词： Students

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On the performance of state estimators in distribution systems under fault conditions 13

On the performance of state estimators in distribution syste...

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13th IEEE International conference on Industry Applications, INDUSCON 2018

作者： Ugarte, Luis F. Sau, Rodrigo G. Almeida, Madson C. De School of Electrical and Computer Engineering University of Campinas Campinas Brazil

ISBN: (纸本)9781538679951

the modernization of the traditional distribution systems toward the so-called smart grid creates an environment conducive for the applications of distribution system state estimators. In this paper, two distribution system state estimator approaches, namely, Branch Currents Based State Estimator (BCBSE) and Admittance Matrix Based State Estimator (AMBSE), are evaluated under fault conditions. the aim is to verify if the approaches can be used as the main core of a fault location methodology. Both approaches have the particularity of presenting constant Jacobian and Gain matrices, which reduces the associated computational effort. the simulations shown in this paper were performed on the IEEE 13bus test feeder, considering single-and three-phase faults for different fault resistances and fault locations for several available measurement sets. Results indicate that the so-called BCBSE presents a more robust and stable behavior under fault conditions. © 2018 IEEE.

关键词： Location

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Pre-provisioning of local Protection for Handling Dual-failures in OpenFlow-based networks 13

Pre-provisioning of Local Protection for Handling Dual-failu...

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13th International conference on Network and Service Management (CNSM)

作者： thorat, Pankaj Jeon, Seil Raza, Syed M. Choo, Hyunseung Sungkyunkwan Univ SKKU Coll Software Suwon South Korea Sungkyunkwan Univ SKKU Coll Informat & Commun Engn Suwon South Korea

ISBN: (纸本)9783901882982

An essential requirement in operating a carrier-grade network (CGN) is ensuring the high availability and reliability. Software-defined networking (SDN) is expected to address such requirement while improving the network management. One challenging issue faced in the process of enhancing the reliability of SDN-enabled CGN is how to achieve rapid recovery with minimal effort. there are two well-known approaches to determine the failover scope: end-to-end (global) detouring and local detouring. Particularly, the local detouring approach provides an efficient means to achieve faster recovery, as it locally detours the disrupted flows around the failed network components using a preconfigured alternative path. However, it requires thousands of flow entries per switch to be configured. To address the technical challenges, we propose a fault-tolerant forwarding table design (FFTD), which groups the flows using group entries and aggregates the flows using a tagging mechanism for scalable and rapid recovery from the dual-failures of switches or links without overburdening the controller and the flow table's memory. Our extensive emulation results reveal that the proposed FFTD satisfies the CGN's 50 ms recovery requirement. Additionally, it reduces the alternate path flow storage requirement by up to 99%.

关键词： OpenFlow Software-defined networks computer network reliability Fault tolerance Network management

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Data pre-processing: Case of sensor data consistency based on Bi-temporal concepts 13

Data pre-processing: Case of sensor data consistency based o...

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13th International conference on Emerging Technologies, ICET2017

作者： Bukhsh, Faiza Allah De Alencar Silva, Patricio Wienen, Hans Department of Computer Science University of Twente Enschede Netherlands Mossoro Brazil

ISBN: (纸本)9781538622605

the volume, velocity, variety, veracity and value of data currently produced and consumed by different types of information systems turned big Data into a phenomena of study. For data variety, temporal data commonly represents a source of potential inconsistency. this paper reports on a research endeavor for treating the problem of how to minimize inconsistencies in temporal databases due to unavailability of big data. this problem often occurs in situations where a same query is executed on the same data set at different points in time. To address this issue, we propose query optimization strategies based on query transformation and rewriting rules, to amend data consistency in temporal databases. We validate these strategies proposed via case scenario in sensor data analysis, and via manual data input, both for local and distributed query environments. © 2017 IEEE.

关键词： Big data

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