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한국정보처리학회> JIPS(Journal of Information Processing Systems)

JIPS(Journal of Information Processing Systems) update

  • : 한국정보처리학회
  • : 공학분야  >  전자공학
  • : KCI등재
  • : SCOPUS
  • : 연속간행물
  • : 격월
  • : 1976-913x
  • : 2092-805X
  • : International journal of information processing systems(~2007)→Journal of information processing system(2008~)

수록정보
수록범위 : 1권1호(2005)~16권1호(2020) |수록논문 수 : 788
JIPS(Journal of Information Processing Systems)
16권1호(2020년 02월) 수록논문
최근 권호 논문
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KCI등재 SCOPUS

1Security, Privacy, and Efficiency of Sustainable Computing for Future Smart Cities

저자 : Young-sik Jeong , Jong Hyuk Park

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 16권 1호 발행 연도 : 2020 페이지 : pp. 1-5 (5 pages)

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Sustainable computing is a rapidly expanding field of research covering the fields of multidisciplinary engineering. With the rapid adoption of Internet of Things (IoT) devices, issues such as security, privacy, efficiency, and green computing infrastructure are increasing day by day. To achieve a sustainable computing ecosystem for future smart cities, it is important to take into account their entire life cycle from design and manufacturing to recycling and disposal as well as their wider impact on humans and the places around them. The energy efficiency aspects of the computing system range from electronic circuits to applications for systems covering small IoT devices up to large data centers. This editorial focuses on the security, privacy, and efficiency of sustainable computing for future smart cities. This issue accepted 17 articles after a rigorous review process.

KCI등재 SCOPUS

2Multimodal Biometrics Recognition from Facial Video with Missing Modalities Using Deep Learning

저자 : Sayan Maity , Mohamed Abdel-mottaleb , Shihab S. Asfour

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 16권 1호 발행 연도 : 2020 페이지 : pp. 6-29 (24 pages)

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Biometrics identification using multiple modalities has attracted the attention of many researchers as it produces more robust and trustworthy results than single modality biometrics. In this paper, we present a novel multimodal recognition system that trains a deep learning network to automatically learn features after extracting multiple biometric modalities from a single data source, i.e., facial video clips. Utilizing different modalities, i.e., left ear, left profile face, frontal face, right profile face, and right ear, present in the facial video clips, we train supervised denoising auto-encoders to automatically extract robust and non-redundant features. The automatically learned features are then used to train modality specific sparse classifiers to perform the multimodal recognition. Moreover, the proposed technique has proven robust when some of the above modalities were missing during the testing. The proposed system has three main components that are responsible for detection, which consists of modality specific detectors to automatically detect images of different modalities present in facial video clips; feature selection, which uses supervised denoising sparse auto-encoders network to capture discriminative representations that are robust to the illumination and pose variations; and classification, which consists of a set of modality specific sparse representation classifiers for unimodal recognition, followed by score level fusion of the recognition results of the available modalities. Experiments conducted on the constrained facial video dataset (WVU) and the unconstrained facial video dataset (HONDA/UCSD), resulted in a 99.17% and 97.14% Rank-1 recognition rates, respectively. The multimodal recognition accuracy demonstrates the superiority and robustness of the proposed approach irrespective of the illumination, nonplanar movement, and pose variations present in the video clips even in the situation of missing modalities.

KCI등재 SCOPUS

3An Improvement Algorithm for the Image Compression Imaging

저자 : Kaiqun Hu , Xin Feng

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 16권 1호 발행 연도 : 2020 페이지 : pp. 30-41 (12 pages)

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Lines and textures are natural properties of the surface of natural objects, and their images can be sparsely represented in suitable frames such as wavelets, curvelets and wave atoms. Based on characteristics that the curvelets framework is good at expressing the line feature and wavesat is good at representing texture features, we propose a model for the weighted sparsity constraints of the two frames. Furtherly, a multi-step iterative fast algorithm for solving the model is also proposed based on the split Bergman method. By introducing auxiliary variables and the Bergman distance, the original problem is transformed into an iterative solution of two simple sub-problems, which greatly reduces the computational complexity. Experiments using standard images show that the split-based Bergman iterative algorithm in hybrid domain defeats the traditional Wavelets framework or curvelets framework both in terms of timeliness and recovery accuracy, which demonstrates the validity of the model and algorithm in this paper.

KCI등재 SCOPUS

4A Secure Operating System Architecture Based on Linux against Communication Offense with Root Exploit for Unmanned Aerial Vehicles

저자 : Kwangmin Koo , Woo-yeob Lee , Sung-ryung Cho , Inwhee Joe

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 16권 1호 발행 연도 : 2020 페이지 : pp. 42-48 (7 pages)

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This paper proposes an operating system architecture for unmanned aerial vehicle (UAV), which is secure against root exploit, resilient to connection loss resulting in the control loss, and able to utilize common applications used in Linux. The Linux-based UAVs are exposed to root exploit. On the other hand, the microkernel-based UAVs are not able to use the common applications utilized in Linux, even though which is secure against root exploit. For this reason, the proposed architecture uses a virtualized microkernel on the Linux operating system to isolate communication roles and prevent root exploit. As a result, the suggested Operating system is secure against root exploit and is able to utilize the common applications at the same time.

KCI등재 SCOPUS

5A New Image Enhancement Algorithm Based on Bidirectional Diffusion

저자 : Zhonghua Wang , Xiaoming Huang , Faliang Huang

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 16권 1호 발행 연도 : 2020 페이지 : pp. 49-60 (12 pages)

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To solve the edge ringing or block effect caused by the partial differential diffusion in image enhancement domain, a new image enhancement algorithm based on bidirectional diffusion, which smooths the flat region or isolated noise region and sharpens the edge region in different types of defect images on aviation composites, is presented. Taking the image pixel's neighborhood intensity and spatial characteristics as the attribute descriptor, the presented bidirectional diffusion model adaptively chooses different diffusion criteria in different defect image regions, which are elaborated are as follows. The forward diffusion is adopted to denoise along the pixel's gradient direction and edge direction in the pixel's smoothing area while the backward diffusion is used to sharpen along the pixel's gradient direction and the forward diffusion is used to smooth along the pixel's edge direction in the pixel's edge region. The comparison experiments were implemented in the delamination, inclusion, channel, shrinkage, blowhole and crack defect images, and the comparison results indicate that our algorithm not only preserves the image feature better but also improves the image contrast more obviously.

KCI등재 SCOPUS

6A Cost-Optimization Scheme Using Security Vulnerability Measurement for Efficient Security Enhancement

저자 : Jun-young Park , Eui-nam Huh

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 16권 1호 발행 연도 : 2020 페이지 : pp. 61-82 (22 pages)

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The security risk management used by some service providers is not appropriate for effective security enhancement. The reason is that the security risk management methods did not take into account the opinions of security experts, types of service, and security vulnerability-based risk assessment. Moreover, the security risk assessment method, which has a great influence on the risk treatment method in an information security risk assessment model, should be security risk assessment for fine-grained risk assessment, considering security vulnerability rather than security threat. Therefore, we proposed an improved information security risk management model and methods that consider vulnerability-based risk assessment and mitigation to enhance security controls considering limited security budget. Moreover, we can evaluate the security cost allocation strategies based on security vulnerability measurement that consider the security weight.

KCI등재 SCOPUS

7Privacy Protection Model for Location-Based Services

저자 : Lihao Ni , Yanshen Liu , Yi Liu

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 16권 1호 발행 연도 : 2020 페이지 : pp. 96-112 (17 pages)

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Solving the disclosure problem of sensitive information with the k-nearest neighbor query, location dummy technique, or interfering data in location-based services (LBSs) is a new research topic. Although they reduced security threats, previous studies will be ineffective in the case of sparse users or K-successive privacy, and additional calculations will deteriorate the performance of LBS application systems. Therefore, a model is proposed herein, which is based on geohash-encoding technology instead of latitude and longitude, memcached server cluster, encryption and decryption, and authentication. Simulation results based on PHP and MySQL show that the model offers approximately 10× speedup over the conventional approach. Two problems are solved using the model: sensitive information in LBS application is not disclosed, and the relationship between an individual and a track is not leaked.

KCI등재 SCOPUS

8Cell Counting Algorithm Using Radius Variation, Watershed and Distance Transform

저자 : Taehoon Kim , Donggeun Kim , Sangjoon Lee

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 16권 1호 발행 연도 : 2020 페이지 : pp. 113-119 (7 pages)

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This study proposed the structure of the cluster's cell counting algorithm for cell analysis. The image required for cell count is taken under a microscope. At present, the cell counting algorithm is reported to have a problem of low accuracy of results due to uneven shape and size clusters. To solve these problems, the proposed algorithm has a feature of calculating the number of cells in a cluster by applying a radius change analysis to the existing distance conversion and watershed algorithm. Later, cell counting algorithms are expected to yield reliable results if applied to the required field.

KCI등재 SCOPUS

9Research on the Basic Rodrigues Rotation in the Conversion of Point Clouds Coordinate System

저자 : Maolin Xu , Jiaxing Wei , Hongling Xiu

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 16권 1호 발행 연도 : 2020 페이지 : pp. 120-131 (12 pages)

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In order to solve the problem of point clouds coordinate conversion of non-directional scanners, this paper proposes a basic Rodrigues rotation method. Specifically, we convert the 6 degree-of-freedom (6-DOF) rotation and translation matrix into the uniaxial rotation matrix, and establish the equation of objective vector conversion based on the basic Rodrigues rotation scheme. We demonstrate the applicability of the new method by using a bar-shaped emboss point clouds as experimental input, the three-axis error and three-term error as validate indicators. The results suggest that the new method does not need linearization and is suitable for optional rotation angle. Meanwhile, the new method achieves the seamless splicing of point clouds. Furthermore, the coordinate conversion scheme proposed in this paper performs superiority by comparing with the iterative closest point (ICP) conversion method. Therefore, the basic Rodrigues rotation method is not only regarded as a suitable tool to achieve the conversion of point clouds, but also provides certain reference and guidance for similar projects.

KCI등재 SCOPUS

10A Load-Balancing Approach Using an Improved Simulated Annealing Algorithm

저자 : Mohamed Hanine , El-habib Benlahmar

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 16권 1호 발행 연도 : 2020 페이지 : pp. 132-144 (13 pages)

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Cloud computing is an emerging technology based on the concept of enabling data access from anywhere, at any time, from any platform. The exponential growth of cloud users has resulted in the emergence of multiple issues, such as the workload imbalance between the virtual machines (VMs) of data centers in a cloud environment greatly impacting its overall performance. Our axis of research is the load balancing of a data center's VMs. It aims at reducing the degree of a load's imbalance between those VMs so that a better resource utilization will be provided, thus ensuring a greater quality of service. Our article focuses on two phases to balance the workload between the VMs. The first step will be the determination of the threshold of each VM before it can be considered overloaded. The second step will be a task allocation to the VMs by relying on an improved and faster version of the meta-heuristic “simulated annealing (SA)”. We mainly focused on the acceptance probability of the SA, as, by modifying the content of the acceptance probability, we could ensure that the SA was able to offer a smart task distribution between the VMs in fewer loops than a classical usage of the SA.

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마산대학교 전남대학교 한국방송통신대학교 George Washington University 성균관대학교
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  • 1 마산대학교 (3건)
  • 2 전남대학교 (3건)
  • 3 한국방송통신대학교 (3건)
  • 4 George Washington University (3건)
  • 5 성균관대학교 (3건)
  • 6 한국항공대학교 (3건)
  • 7 인천대학교 (2건)
  • 8 Cornell University (1건)
  • 9 한국산업기술대학교 (1건)
  • 10 을지대학교 (1건)

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