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Journal of information processing systems 18건

  1. [국내논문]   Convolutional Neural Network Based Multi-feature Fusion for Non-rigid 3D Model Retrieval  

    Zeng, Hui (Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing ) , Liu, Yanrong (Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing ) , Li, Siqi (Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing ) , Che, JianYong (The Tiantan Park Management Office ) , Wang, Xiuqing (Vocational & Technical Institute, Hebei Normal University)
    Journal of information processing systems v.14 no.1 ,pp. 176 - 190 , 2018 , 1976-913x ,

    초록

    This paper presents a novel convolutional neural network based multi-feature fusion learning method for non-rigid 3D model retrieval, which can investigate the useful discriminative information of the heat kernel signature (HKS) descriptor and the wave kernel signature (WKS) descriptor. At first, we compute the 2D shape distributions of the two kinds of descriptors to represent the 3D model and use them as the input to the networks. Then we construct two convolutional neural networks for the HKS distribution and the WKS distribution separately, and use the multi-feature fusion layer to connect them. The fusion layer not only can exploit more discriminative characteristics of the two descriptors, but also can complement the correlated information between the two kinds of descriptors. Furthermore, to further improve the performance of the description ability, the cross-connected layer is built to combine the low-level features with high-level features. Extensive experiments have validated the effectiveness of the designed multi-feature fusion learning method.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  2. [국내논문]   Face Recognition Based on the Combination of Enhanced Local Texture Feature and DBN under Complex Illumination Conditions  

    Li, Chen (School of Computer Science, North China University of Technology ) , Zhao, Shuai (School of Computer Science, North China University of Technology ) , Xiao, Ke (School of Computer Science, North China University of Technology ) , Wang, Yanjie (School of Computer Science, North China University of Technology)
    Journal of information processing systems v.14 no.1 ,pp. 191 - 204 , 2018 , 1976-913x ,

    초록

    To combat the adverse impact imposed by illumination variation in the face recognition process, an effective and feasible algorithm is proposed in this paper. Firstly, an enhanced local texture feature is presented by applying the central symmetric encode principle on the fused component images acquired from the wavelet decomposition. Then the proposed local texture features are combined with Deep Belief Network (DBN) to gain robust deep features of face images under severe illumination conditions. Abundant experiments with different test schemes are conducted on both CMU-PIE and Extended Yale-B databases which contain face images under various illumination condition. Compared with the DBN, LBP combined with DBN and CSLBP combined with DBN, our proposed method achieves the most satisfying recognition rate regardless of the database used, the test scheme adopted or the illumination condition encountered, especially for the face recognition under severe illumination variation.

    원문보기

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    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  3. [국내논문]   Variations of AlexNet and GoogLeNet to Improve Korean Character Recognition Performance  

    Lee, Sang-Geol (Human Resources Development Group for Women Maker in Integrated Engineering, Dongguk University ) , Sung, Yunsick (Dept. of Multimedia Engineering, Dongguk University ) , Kim, Yeon-Gyu (Dept. of Computer Science Engineering, Pusan National University ) , Cha, Eui-Young (Dept. of Computer Science Engineering, Pusan National University)
    Journal of information processing systems v.14 no.1 ,pp. 205 - 217 , 2018 , 1976-913x ,

    초록

    Deep learning using convolutional neural networks (CNNs) is being studied in various fields of image recognition and these studies show excellent performance. In this paper, we compare the performance of CNN architectures, KCR-AlexNet and KCR-GoogLeNet. The experimental data used in this paper is obtained from PHD08, a large-scale Korean character database. It has 2,187 samples of each Korean character with 2,350 Korean character classes for a total of 5,139,450 data samples. In the training results, KCR-AlexNet showed an accuracy of over 98% for the top-1 test and KCR-GoogLeNet showed an accuracy of over 99% for the top-1 test after the final training iteration. We made an additional Korean character dataset with fonts that were not in PHD08 to compare the classification success rate with commercial optical character recognition (OCR) programs and ensure the objectivity of the experiment. While the commercial OCR programs showed 66.95% to 83.16% classification success rates, KCR-AlexNet and KCR-GoogLeNet showed average classification success rates of 90.12% and 89.14%, respectively, which are higher than the commercial OCR programs' rates. Considering the time factor, KCR-AlexNet was faster than KCR-GoogLeNet when they were trained using PHD08; otherwise, KCR-GoogLeNet had a faster classification speed.

    원문보기

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    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

    이미지

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  4. [국내논문]   Vocal Effort Detection Based on Spectral Information Entropy Feature and Model Fusion  

    Chao, Hao (School of Computer Science and Technology, Henan Polytechnic University ) , Lu, Bao-Yun (School of Computer Science and Technology, Henan Polytechnic University ) , Liu, Yong-Li (School of Computer Science and Technology, Henan Polytechnic University ) , Zhi, Hui-Lai (School of Computer Science and Technology, Henan Polytechnic University)
    Journal of information processing systems v.14 no.1 ,pp. 218 - 227 , 2018 , 1976-913x ,

    초록

    Vocal effort detection is important for both robust speech recognition and speaker recognition. In this paper, the spectral information entropy feature which contains more salient information regarding the vocal effort level is firstly proposed. Then, the model fusion method based on complementary model is presented to recognize vocal effort level. Experiments are conducted on isolated words test set, and the results show the spectral information entropy has the best performance among the three kinds of features. Meanwhile, the recognition accuracy of all vocal effort levels reaches 81.6%. Thus, potential of the proposed method is demonstrated.

    원문보기

    원문보기
    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

    이미지

    Fig. 1 이미지
  5. [국내논문]   Efficient Flow Table Management Scheme in SDN-Based Cloud Computing Networks  

    Ha, Nambong (Dept. of Computer Science, Kyonggi University ) , Kim, Namgi (Dept. of Computer Science, Kyonggi University)
    Journal of information processing systems v.14 no.1 ,pp. 228 - 238 , 2018 , 1976-913x ,

    초록

    With the rapid advancement of Internet services, there has been a dramatic increase in services that dynamically provide Internet resources on demand, such as cloud computing. In a cloud computing service, because the number of users in the cloud is changing dynamically, it is more efficient to utilize a flexible network technology such as software-defined networking (SDN). However, to efficiently support the SDN-based cloud computing service with limited resources, it is important to effectively manage the flow table at the SDN switch. Therefore, in this paper, a new flow management scheme is proposed that is able to, through efficient management, speed up the flow-entry search speed and simultaneously maximize the number of flow entries. The proposed scheme maximizes the capacity of the flow table by efficiently storing flow entry information while quickly executing the operation of flow-entry search by employing a hash index. In this paper, the proposed scheme is implemented by modifying the actual software SDN switch and then, its performance is analyzed. The results of the analysis show that the proposed scheme, by managing the flow tables efficiently, can support more flow entries.

    원문보기

    원문보기
    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

    이미지

    Fig. 1 이미지
  6. [국내논문]   Study of Danger-Theory-Based Intrusion Detection Technology in Virtual Machines of Cloud Computing Environment  

    Zhang, Ruirui (School of Business, Sichuan Agricultural University ) , Xiao, Xin (School of Computer Science, Southwest Minzu University)
    Journal of information processing systems v.14 no.1 ,pp. 239 - 251 , 2018 , 1976-913x ,

    초록

    In existing cloud services, information security and privacy concerns have been worried, and have become one of the major factors that hinder the popularization and promotion of cloud computing. As the cloud computing infrastructure, the security of virtual machine systems is very important. This paper presents an immune-inspired intrusion detection model in virtual machines of cloud computing environment, denoted I-VMIDS, to ensure the safety of user-level applications in client virtual machines. The model extracts system call sequences of programs, abstracts them into antigens, fuses environmental information of client virtual machines into danger signals, and implements intrusion detection by immune mechanisms. The model is capable of detecting attacks on processes which are statically tampered, and is able to detect attacks on processes which are dynamically running. Therefore, the model supports high real time. During the detection process, the model introduces information monitoring mechanism to supervise intrusion detection program, which ensures the authenticity of the test data. Experimental results show that the model does not bring much spending to the virtual machine system, and achieves good detection performance. It is feasible to apply I-VMIDS to the cloud computing platform.

    원문보기

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    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

    이미지

    Fig. 1 이미지
  7. [국내논문]   Impediments to the Integration of ICT in Public Schools of Contemporary Societies: A Review of Literature  

    Salam, Shafaq (Dept. School of Economics and Management, Beijing University of Posts and Telecommunication ) , Zeng, Jianqiu (Dept. School of Economics and Management, Beijing University of Posts and Telecommunication ) , Pathan, Zulfiqar Hussain (Dept. School of Economics and Management, Beijing University of Posts and Telecommunication ) , Latif, Zahid (Dept. School of Economics and Management, Beijing University of Posts and Telecommunication ) , Shaheen, Aliya (Dept. School of Economics and Management, Beijing University of Posts and Telecommunication)
    Journal of information processing systems v.14 no.1 ,pp. 252 - 269 , 2018 , 1976-913x ,

    초록

    The era of information technologies has stimulated the demand of educational reform based on the use of information and communication technology (ICT). It requires explicit guidelines, vibrant objectives, mobilization of resources and political commitment at all levels of the country to achieve the desired results. However, change is not easy, it requires to overcome the impediments that hinder the successful integration of ICT in public schools. The pace of this reform is active in developed countries, while developing countries are lagging behind in achieving the required goals. The foremost purpose of this study is to highlight the barriers in the effective integration of ICT faced by developed countries in general and developing countries in particular. Reviewing the impediments to the integration of ICT in public schools may assist educators to become technology adopters in the future. Findings of the study reveal that intrinsic barriers are easy to surmount; once extrinsic barriers have been subdued successfully.

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    원문보기
    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

    이미지

    Fig. 1 이미지
  8. [국내논문]   Implementation of Multipurpose PCI Express Adapter Cards with On-Board Optical Module  

    Koo, Kyungmo (Dept. of Supercomputer System Development, Korea Institute of Science and Technology Information ) , Yu, Junglok (Dept. of Supercomputer System Development, Korea Institute of Science and Technology Information ) , Kim, Sangwan (Dept. of Supercomputer System Development, Korea Institute of Science and Technology Information ) , Choi, Min (Dept. of Information and Communication Engineering, Chungbuk National University ) , Cha, Kwangho (Dept. of Supercomputer System Development, Korea Institute of Science and Technology Information)
    Journal of information processing systems v.14 no.1 ,pp. 270 - 279 , 2018 , 1976-913x ,

    초록

    PCI Express (PCIe) bus, which was only used as an internal I/O bus of a computer system, has expanded its function to outside of a system, with progress of PCIe switching processor. In particular, advanced features of PCIe switching processor enable PCIe bus to serve as an interconnection network as well as connecting external devices. As PCIe switching processors more advanced, it is required to consider the different adapter card architecture. This study developed multipurpose adapter cards by applying an on-board optical module, a latest optical communications element, in order to improve transfer distance and utilization. The performance evaluation confirmed that the new adapter cards with long cable can provide the same bandwidth as that of the existing adapter cards with short copper cable.

    원문보기

    원문보기
    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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