• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.5
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• pp.423-431
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• 2000

In this paper, the effect of computing time-delay in the real-time digital fuzzy control systems is investigated and the design methodology of a real-time digital fuzzy controller(DFC) to overcome the problems caused by it is presented. We propose the fuzzy feedback controller whose output is delayed with unit sampling period. The analysis and the design problem considering computing time-delay is very easy because the proposed controller is syncronized with the sampling time. The stabilization problem of the digital fuzzy control system is solved by the linear matrix inequality(LMI) theory. Convex optimization techniques are utilized to find the stable feedback gains and a common positive definite matrix P for the designed fuzzy control system Furthermore, we develop a real-time fuzzy control system for backing up a computer-simulated truck-trailer with the consideration of the computing time-delay. By using the proposed method, we design a DFC which guarantees the stability of the real time digital fuzzy control system in the presence of computing time-delay.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.5669-5684
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• 2018

The new mobile edge network architecture has been required for an increasing amount of traffic, quality requirements, advanced driver assistance system for autonomous driving and new cloud computing demands on highway. This article proposes a hierarchical cloud computing architecture to enhance performance by using adaptive data load distribution for buses that play the role of edge computing server. A vehicular dynamic cloud is based on wireless architecture including Wireless Local Area Network and Long Term Evolution Advanced communication is used for data transmission between moving buses and cars. The main advantages of the proposed architecture include both a reduction of data loading for top layer cloud server and effective data distribution on traffic jam highway where moving vehicles require video on demand (VOD) services from server. Through the description of real environment based on NS-2 network simulation, we conducted experiments to validate the proposed new architecture. Moreover, we show the feasibility and effectiveness for the connected car media service on highway.

• Journal of Internet Computing and Services
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• v.6 no.6
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• pp.1-12
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• 2005

The number of web contents is enormous in the billions and rapidly growing, Most contents are state, but an increasing number are generated dynamically, Therefore, Internet-based client/server architecture of Contents Delivery Service System suffers from frequent disconnections and security threats casused by dependency of the server or overload. Idle computing resources in Internet are used for sloving these issues, In this paper, We implement and design the Content Delivery Service System for cyber education system using idle Computing Power in P2P computing to share computing resources, We implement not only internet infrastructure but also satellite infrastructure system. and designed to transfer real-time or non real-time contents.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.4
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• pp.209-233
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• 2014

This study is to propose an archive management model based on cloud computing for preservation and utilization, as analyzing the characteristic of business model, electronic records and archival system. To achieve the goals this study classifies hardware and software resources by cloud computing models and redesigns business processes based on cloud computing. Adopting cloud computing technology in a central archives management system can be a exemplary case for other archives management systems to improve system and business performance.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.2
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• pp.77-83
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• 2022

In this paper, the two-stage object detection approach is proposed to implement a deep learning-based label inspection system on edge computing environments. Since the label printed on the products during the production process contains important information related to the product, it is significantly to check the label information is correct. The proposed system uses the lightweight deep learning model that able to employ in the low-performance edge computing devices, and the two-stage object detection approach is applied to compensate for the low accuracy relatively. The proposed Two-Stage object detection approach consists of two object detection networks, Label Area Detection Network and Character Detection Network. Label Area Detection Network finds the label area in the product image, and Character Detection Network detects the words in the label area. Using this approach, we can detect characters precise even with a lightweight deep learning models. The SF-YOLO model applied in the proposed system is the YOLO-based lightweight object detection network designed for edge computing devices. This model showed up to 2 times faster processing time and a considerable improvement in accuracy, compared to other YOLO-based lightweight models such as YOLOv3-tiny and YOLOv4-tiny. Also since the amount of computation is low, it can be easily applied in edge computing environments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.283-290
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• 2016

As the development of recent science and technology, high-performance computing resources is needed to solve complex problems. To reach these requirements, it has been actively studied about grid computing that consist of a huge system which bind a heterogeneous high performance computing resources into on which are geographically dispersed. However, The current research situation which are the process to obtain the best results in the limited resources and the scheduling policy to accurately predict the total execution time of the real-time task are very poor. In this paper, in order to overcome these problems, we suggested a grid computing-based risk management system which derived from the system structure and the process for improving the efficiency of the system, grid computing-based working methodology, risk policy module which can manage efficiently the problem of the work of resources(Agent), scheduling technique and allocation method which can re-allocate the resource allocation and the resources in problem, and monitoring which can manage resources(Agent).

• Convergence Security Journal
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• v.13 no.4
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• pp.93-100
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• 2013

In 2012, According to 'Cisco Global Cloud Index 2011-2016', the Cisco company forecasted that global data center traffic will nearly quadruple and cloud traffic will nearly sextuple by 2016. Such a rapid growing of traffic is caused by traffic inside the data center and cloud computing workloads. In 2010, the Ministry of National Defense decided to build a Mega Center including the cloud computing technology by 2014, as part of the '2012 Information Service Plan', which is now underway. One of the factors to consider is cloud computing traffic to build a Mega Center. Since the K-defense cloud computing system is built, K-defense cloud computing traffic will increase steadily. This paper, analyzed the availability of K-defense cloud computing service with the K-defense cloud computing traffic increasing using K-Defense cloud computing test system and CloudAnalyst simulation tool. Created 3 scenarios and Simulated with these scenarios, the results are derived that the availability of K-defense cloud computing test system is fulfilled, even cloud workloads are increased as muh as forecasted cloud traffic growth from now until 2016.

• Convergence Security Journal
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• v.11 no.6
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• pp.31-36
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• 2011

Cloud computing is a system which efficiently utilizes resources. In this paper, we propose 2-factor authentication system combing PKI, ID_PW and location information. The proposed method improve the security of hybrid cloud systems and manage resources more safely.

• Journal of the Korea Safety Management & Science
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• v.12 no.4
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• pp.139-143
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• 2010

The small and medium construction companies are facing potential EHS(Environment, Health & Safety) of major accidents to cause casualties or a financial loss and increasing social responsibility. So, they have to voluntarily accomplish the EHS management system rather than passively with regard to EHS regulation. In this study, the framework of integrated EHS management system is developed based on cloud computing, and construction companies are to materialize self-regulation EHS process of construction workplace and to standardize the total EHS business process using the developed system. The proposed system also provides risk analysis, education/control and continuous improvement for EHS tasks and users can easily access the system on the web at a low price through cloud computing service. Eventually, the integrated system contributes to the managerial improvement by minimizing economic and physical loss caused by construction accidents.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.1
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• pp.125-129
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• 2010

Stateless computing supports a mobility of computing environment easily. It is becoming a major technology for securing personal user's information on shared computing environment. With the advance of virtualization technology and cloud computing, stateless computing is an essential part of personal computing environment connectivity (user's setting and data is stored in remote server or some storage, and it can be restored at any computing environment) In this paper, we propose uPC player that supports stateless computing execution environment on Windows. uPC player provides Windows operating system to user by using an uPC OS virtualization module. In this paper, we leverage how uPC player is designed and implemented for supporting a stateless computing execution environment. uPC player provides a desktop switch between host-system execution environment and uPC virtual execution environment. And it needs just one second for loading uPC virtual execution environment by using OS virtualization-based technique.