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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)~15권4호(2019) |수록논문 수 : 733
JIPS(Journal of Information Processing Systems)
15권4호(2019년 08월) 수록논문
최근 권호 논문
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KCI등재 SCOPUS

1Future Trends of AI-Based Smart Systems and Services: Challenges, Opportunities, and Solutions

저자 : Daewon Lee , Jong Hyuk Park

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 15권 4호 발행 연도 : 2019 페이지 : pp. 717-723 (7 pages)

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Smart systems and services aim to facilitate growing urban populations and their prospects of virtual-real social behaviors, gig economies, factory automation, knowledge-based workforce, integrated societies, modern living, among many more. To satisfy these objectives, smart systems and services must comprises of a complex set of features such as security, ease of use and user friendliness, manageability, scalability, adaptivity, intelligent behavior, and personalization. Recently, artificial intelligence (AI) is realized as a data-driven technology to provide an efficient knowledge representation, semantic modeling, and can support a cognitive behavior aspect of the system. In this paper, an integration of AI with the smart systems and services is presented to mitigate the existing challenges. Several novel researches work in terms of frameworks, architectures, paradigms, and algorithms are discussed to provide possible solutions against the existing challenges in the AI-based smart systems and services. Such novel research works involve efficient shape image retrieval, speech signal processing, dynamic thermal rating, advanced persistent threat tactics, user authentication, and so on.

KCI등재 SCOPUS

2Dynamic Thermal Rating of Overhead Transmission Lines Based on GRAPES Numerical Weather Forecast

저자 : Hongbo Yan , Yanling Wang , Xiaofeng Zhou , Likai Liang , Zhijun Yin , Wei Wang

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 15권 4호 발행 연도 : 2019 페이지 : pp. 724-736 (13 pages)

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Dynamic thermal rating technology can effectively improve the thermal load capacity of transmission lines. However, its availability is limited by the quantity and high cost of the hardware facilities. This paper proposes a new dynamic thermal rating technology based on global/regional assimilation and prediction system (GRAPES) and geographic information system (GIS). The paper will also explore the method of obtaining any point meteorological data along the transmission line by using GRAPES and GIS, and provide the strategy of extracting and decoding meteorological data. In this paper, the accuracy of numerical weather prediction was verified from the perspective of time and space. Also, the 750-kV transmission line in Shaanxi Province is considered as an example to analyze. The results of the study indicate that dynamic thermal rating based on GRAPES and GIS can fully excavate the line power potential without additional cost on hardware, which saves a lot of investment.

KCI등재 SCOPUS

3Shape Description and Retrieval Using Included-Angular Ternary Pattern

저자 : Guoqing Xu , Ke Xiao , Chen Li

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 15권 4호 발행 연도 : 2019 페이지 : pp. 737-747 (11 pages)

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Shape description is an important and fundamental issue in content-based image retrieval (CBIR), and a number of shape description methods have been reported in the literature. For shape description, both global information and local contour variations play important roles. In this paper a new included-angular ternary pattern (IATP) based shape descriptor is proposed for shape image retrieval. For each point on the shape contour, IATP is derived from its neighbor points, and IATP has good properties for shape description. IATP is intrinsically invariant to rotation, translation and scaling. To enhance the description capability, multiscale IATP histogram is presented to describe both local and global information of shape. Then multiscale IATP histogram is combined with included-angular histogram for efficient shape retrieval. In the matching stage, cosine distance is used to measure shape features' similarity. Image retrieval experiments are conducted on the standard MPEG-7 shape database and Swedish leaf database. And the shape image retrieval performance of the proposed method is compared with other shape descriptors using the standard evaluation method. The experimental results of shape retrieval indicate that the proposed method reaches higher precision at the same recall value compared with other description method.

KCI등재 SCOPUS

4Research on Noise Reduction Algorithm Based on Combination of LMS Filter and Spectral Subtraction

저자 : Danyang Cao , Zhixin Chen , Xue Gao

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 15권 4호 발행 연도 : 2019 페이지 : pp. 748-764 (17 pages)

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In order to deal with the filtering delay problem of least mean square adaptive filter noise reduction algorithm and music noise problem of spectral subtraction algorithm during the speech signal processing, we combine these two algorithms and propose one novel noise reduction method, showing a strong performance on par or even better than state of the art methods. We first use the least mean square algorithm to reduce the average intensity of noise, and then add spectral subtraction algorithm to reduce remaining noise again. Experiments prove that using the spectral subtraction again after the least mean square adaptive filter algorithm overcomes shortcomings which come from the former two algorithms. Also the novel method increases the signal-to-noise ratio of original speech data and improves the final noise reduction performance.

KCI등재 SCOPUS

5Emerging Technologies for Sustainable Smart City Network Security: Issues, Challenges, and Countermeasures

저자 : Jeong Hoon Jo , Pradip Kumar Sharma , Jose Costa Sapalo Sicato , Jong Hyuk Park

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 15권 4호 발행 연도 : 2019 페이지 : pp. 765-784 (20 pages)

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The smart city is one of the most promising, prominent, and challenging applications of the Internet of Things (IoT). Smart cities rely on everything connected to each other. This in turn depends heavily on technology. Technology literacy is essential to transform a city into a smart, connected, sustainable, and resilient city where information is not only available but can also be found. The smart city vision combines emerging technologies such as edge computing, blockchain, artificial intelligence, etc. to create a sustainable ecosystem by dramatically reducing latency, bandwidth usage, and power consumption of smart devices running various applications. In this research, we present a comprehensive survey of emerging technologies for a sustainable smart city network. We discuss the requirements and challenges for a sustainable network and the role of heterogeneous integrated technologies in providing smart city solutions. We also discuss different network architectures from a security perspective to create an ecosystem. Finally, we discuss the open issues and challenges of the smart city network and provide suitable recommendations to resolve them.

KCI등재 SCOPUS

6The Improved Joint Bayesian Method for Person Re-identification Across Different Camera

저자 : Ligang Hou , Yingqiang Guo , Jiangtao Cao

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 15권 4호 발행 연도 : 2019 페이지 : pp. 785-796 (12 pages)

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Due to the view point, illumination, personal gait and other background situation, person re-identification across cameras has been a challenging task in video surveillance area. In order to address the problem, a novel method called Joint Bayesian across different cameras for person re-identification (JBR) is proposed. Motivated by the superior measurement ability of Joint Bayesian, a set of Joint Bayesian matrices is obtained by learning with different camera pairs. With the global Joint Bayesian matrix, the proposed method combines the characteristics of multi-camera shooting and person re-identification. Then this method can improve the calculation precision of the similarity between two individuals by learning the transition between two cameras. For investigating the proposed method, it is implemented on two compare large-scale re-ID datasets, the Market-1501 and DukeMTMC-reID. The RANK-1 accuracy significantly increases about 3% and 4%, and the maximum a posterior (MAP) improves about 1% and 4%, respectively.

KCI등재 SCOPUS

7Comprehensive Survey on Internet of Things, Architecture, Security Aspects, Applications, Related Technologies, Economic Perspective, and Future Directions

저자 : Khusanbek Gafurov , Tai-myoung Chung

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 15권 4호 발행 연도 : 2019 페이지 : pp. 797-819 (23 pages)

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Internet of Things (IoT) is the paradigm of network of Internet-connected things as objects that constantly sense the physical world and share the data for further processing. At the core of IoT lies the early technology of radio frequency identification (RFID), which provides accurate location tracking of real-world objects. With its small size and convenience, RFID tags can be attached to everyday items such as books, clothes, furniture and the like as well as to animals, plants, and even humans. This phenomenon is the beginning of new applications and services for the industry and consumer market. IoT is regarded as a fourth industrial revolution because of its massive coverage of services around the world from smart homes to artificial intelligence-enabled smart driving cars, Internet-enabled medical equipment, etc. It is estimated that there will be several dozens of billions of IoT devices ready and operating until 2020 around the world. Despite the growing statistics, however, IoT has security vulnerabilities that must be addressed appropriately to avoid causing damage in the future. As such, we mention some fields of study as a future topic at the end of the survey. Consequently, in this comprehensive survey of IoT, we will cover the architecture of IoT with various layered models, security characteristics, potential applications, and related supporting technologies of IoT such as 5G, MEC, cloud, WSN, etc., including the economic perspective of IoT and its future directions.

KCI등재 SCOPUS

8Robust Ultrasound Multigate Blood Volume Flow Estimation

저자 : Yi Zhang , Jinkai Li , Xin Liu , Dong Chyuan Liu

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 15권 4호 발행 연도 : 2019 페이지 : pp. 820-832 (13 pages)

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Estimation of accurate blood volume flow in ultrasound Doppler blood flow spectrograms is extremely important for clinical diagnostic purposes. Blood volume flow measurements require the assessment of both the velocity distribution and the cross-sectional area of the vessel. Unfortunately, the existing volume flow estimation algorithms by ultrasound lack the velocity space distribution information in cross-sections of a vessel and have the problems of low accuracy and poor stability. In this paper, a new robust ultrasound volume flow estimation method based on multigate (RMG) is proposed and the multigate technology provides detail information on the local velocity distribution. In this method, an accurate double iterative flow velocity estimation algorithm (DIV) is used to estimate the mean velocity and it has been tested on in vivo data from carotid. The results from experiments indicate a mean standard deviation of less than 6% in flow velocities when estimated for a range of SNR levels. The RMG method is validated in a custom-designed experimental setup, Doppler phantom and imitation blood flow control system. In vitro experimental results show that the mean error of the RMG algorithm is 4.81%. Low errors in blood volume flow estimation make the prospect of using the RMG algorithm for real-time blood volume flow estimation possible.

KCI등재 SCOPUS

9Selection of Machine Learning Techniques for Network Lifetime Parameters and Synchronization Issues in Wireless Networks

저자 : Nimmagadda Srilakshmi , Arun Kumar Sangaiah

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 15권 4호 발행 연도 : 2019 페이지 : pp. 833-852 (20 pages)

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In real time applications, due to their effective cost and small size, wireless networks play an important role in receiving particular data and transmitting it to a base station for analysis, a process that can be easily deployed. Due to various internal and external factors, networks can change dynamically, which impacts the localisation of nodes, delays, routing mechanisms, geographical coverage, cross-layer design, the quality of links, fault detection, and quality of service, among others. Conventional methods were programmed, for static networks which made it difficult for networks to respond dynamically. Here, machine learning strategies can be applied for dynamic networks effecting self-learning and developing tools to react quickly and efficiently, with less human intervention and reprogramming. In this paper, we present a wireless networks survey based on different machine learning algorithms and network lifetime parameters, and include the advantages and drawbacks of such a system. Furthermore, we present learning algorithms and techniques for congestion, synchronisation, energy harvesting, and for scheduling mobile sinks. Finally, we present a statistical evaluation of the survey, the motive for choosing specific techniques to deal with wireless network problems, and a brief discussion on the challenges inherent in this area of research.

KCI등재 SCOPUS

10Information Dissemination Model of Microblogging with Internet Marketers

저자 : Dongliang Xu , Jingchang Pan , Bailing Wang , Meng Liu , Qinma Kang

발행기관 : 한국정보처리학회 간행물 : JIPS(Journal of Information Processing Systems) 15권 4호 발행 연도 : 2019 페이지 : pp. 853-864 (12 pages)

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Microblogging services (such as Twitter) are the representative information communication networks during the Web 2.0 era, which have gained remarkable popularity. Weibo has become a popular platform for information dissemination in online social networks due to its large number of users. In this study, a microblog information dissemination model is presented. Related concepts are introduced and analyzed based on the dynamic model of infectious disease, and new influencing factors are proposed to improve the susceptibleinfective- removal (SIR) information dissemination model. Correlation analysis is conducted on the existing information dissemination risk and the rumor dissemination model of microblog. In this study, web hyper is used to model rumor dissemination. Finally, the experimental results illustrate the effectiveness of the method in reducing the rumor dissemination of microblogs.

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호서대학교 경북대학교 상주캠퍼스 Monash University 포항공과대학교 서울과학기술대학교(구 서울산업대학교)
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  • 2 경북대학교 상주캠퍼스 (7건)
  • 3 Monash University (3건)
  • 4 포항공과대학교 (2건)
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  • 7 한국외국어대학교 (1건)
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