• Journal of the Korean Institute of Telematics and Electronics A
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• v.30A no.3
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• pp.1-15
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• 1993

In this paper, we propose over-reporting avoidance scheme which avoids congestion of network traffics by adjusting managed system's over-reporting, on the OSI network management model which reports events from managed system to managing system. In case of reporting events from managed system to managing system, management traffic concentration occurs, and it causes over-loading on the managing system and congestion on the network. This scheme takes advantage of feedback from managing system to managed system. Managed system transmits event reports as much as maximum event pertime allocated to itself to managing system, and it sets it's management variables to LOCK state and stops event reports as Threshold time is reached. At the time, managing system directs event reports again by using M-set primitive with referring it's status. With this scheme, distributed processing, dynamic network adaptation, convergence of optimal operation point is possible. In addition to it, a fairness is assured. In order to detect characteristics of the Unary feedback over-reporting avoidance scheme. It is observed a control capability of the event reporting and fairness of each nodes through measuring. ThresholdTime value. It is measured a number of mean activating nodes and maintained time of LOCK state according to event reporting load, and also measured lost ratio of management packet, queuing delay in managing system, and goodput to observe effects of general packet load. Binary feedback scheme. Unary feedback overreporting avoidance scheme and raw scheme on the OSI network management system each are compared and analyzed, and finally proved that the scheme proposed in this study performs better.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.6
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• pp.117-124
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• 2008

The approaches to overcome the limited spatial resolution and the limited dynamic range of image sensors have been studied independently. A high resolution image is reconstructed from multiple low resolution observations and a wide dynamic range image is reconstructed from differently exposed multiple low dynamic range in es based on signal processing approach. In practical situations, it is reasonable to address them in a unified context because the recorded image suffers from limitations of both spatial resolution and dynamic range. In this paper, the image acquisition process including limited spatial resolution and limited dynamic range is modelled. With the image acquisition model, the response function of the imaging system is estimated and the single image of which spatial resolution and dynamic range are simultaneously enhanced is obtained. Experimental results indicate that the proposed algorithm outperforms the conventional approaches that perform the high resolution and wide dynamic range reconstruction sequentially with respect to both objective and subjective criteria.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.32 no.6
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• pp.341-348
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• 2019

The purpose of this study is to model and analyze retractable large spatial structures by applying parametric modeling techniques. The modeling of wind loads in the analysis of typical structures including curved surfaces can be error-prone, and the processing time increases dramatically when there are many types of variables. However, the method based on StrAuto that was developed in previous research, facilitates the efficacious assignment of wind loads to structures and the rapid arrival of conclusions. As a result, it is possible to compare alternatives with various loads, including wind loads, to determine an optimal alternative much faster than the existing process. Further, it is almost impossible to directly input the wind load by calculating the area of an irregularly curved surface. However, the proposed method automatically assigns the wind load, which allows for automatic optimization in a structural analysis system. The approach was applied and optimized using several models, and the results are presented.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.179-184
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• 2006

An intuitive understanding of the dynamic pattern generation in asymmetric networks may be considered an essential component in developing models for the dynamic information processing. It has been reported that the neural network with cyclic connections generates multiple limit cycles. The dynamics of discrete time network with cyclic connections has been investigated intensively. However, the dynamics of a cyclic connection neural network in continuous-time has not been well-known due to the considerable complexity involved in its calculation. In this paper, the dynamic behavior of a continuous-time cyclic connection neural network, in which each neuron is connected only to its nearest neurons with binary synaptic weights of ${\pm}1$, has been investigated. Furthermore, the dynamics and stability of the network have been analyzed using a piece-wise linear approximation.

• The KIPS Transactions:PartD
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• v.18D no.3
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• pp.185-196
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• 2011

As the Korean Ministry for Health and Welfare announced the likelihood to revise the legislative limit for healthcare telemedicine, u-Healthcare service through IPTV emerged among these business models. However, in spite of many advantages such as treatment improvement, service quality enhancement, and treatment usefulness, most medical trials grafted with IT have not accepted yet. This points out not only that law and institutional environment has not prepared, but also that policy maker neglect the preparation of the strategies through the study on user acceptance. The purpose of this study is to verify the relationship for IPTV quality based Healthcare on satisfaction and intention to use. The results identify that IPTV technology quality for its convenience, contents quality for its completeness, and the quality for healthcare services give significant effect to satisfaction. In addition the study indicates that overall qualities of IPTV technology, contents, and healthcare service, significantly impact on satisfaction respectively and that the satisfaction may lead to the intention to use of this service.

• The KIPS Transactions:PartD
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• v.18D no.3
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• pp.205-214
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• 2011

Client based web mashups have become one of the most important architecture in web application development. Although there are well known methods to generate presentation view codes for web services, navigations between views and service requests are still developed manually in most web mashups. In this paper, we propose the concept of deterministic data binding from output data to input parameters of another method. Using binding relations, we can model navigation menus for service method requests. For a given set of data mappings between services, we investigate context dependent binding conditions and discuss the generation of views and navigation menus. The proposed approach provides UI for users to navigate services of client mashup page using simple and convenient interface even when the number of services and the size of the mashup page grows. In order to show the usability of the proposed approach, we present a historic tourism service.

• The KIPS Transactions:PartA
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• v.14A no.4
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• pp.227-234
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• 2007

In the virtual prototyping environment, we can simulate details of a target model using many components and libraries provided in advance on a computer. The real prototyping environment provides the test simulation environment as a real product, but we can't do a detailed simulation of a real product in the virtual prototyping environment, and we can't do various simulations in the real prototyping environment. So, we made a integrated prototyping environment for linkage of the two types of prototyping environments. Also, in this paper, we developed the integrated prototyping environment based on objects. By this kind of embedded system development environment, we can have the advantages as reuse, flexibility, scalability, and more convenient of product making.

• The KIPS Transactions:PartA
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• v.17A no.2
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• pp.93-102
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• 2010

There are many complicated situations which could be occurred in users' surroundings, so it is required to develop automation services to provide users with appropriate services in ubiquitous computing environments. However, most of the current context-aware workflow systems express context-aware services only with a single workflow. Therefore, they have difficulties in providing users with various and composite services by combining different workflows. In this paper we propose a CAWL-based context-aware workflow system, where CAWL is a context-aware workflow language to express a composite workflow model by describing individual service workflows. The proposed system can provide users with various composite workflow services based on a service scenario, which is described with CAWL. And by reusing a number of single workflows to construct composite workflow services, it is possible to save time and effort to develop context-aware workflows.

• The KIPS Transactions:PartD
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• v.17D no.1
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• pp.41-52
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• 2010

A relation between generated test cases and an original requirement is important, but it becomes very complex because a relation between requirement models and requirements are m-to-n in automatic test case generation based on models. In this paper, I suggest automatic generation technique for REED (REquirement EDitor), 1-to-1 requirement modeling tool. Test cases are generated though 3 steps, Coverage Target Generation, IORT (Input Output Relation Tree)Generation, and Test Cases Generation. All these steps are running automatically. The generated test cases can be generated from a single requirement. As a result of applying to three real commercial systems, there are 5566 test cases for the Temperature Controller, 3757 test cases for Bus Card Terminal, and 4611 test cases for Excavator Controller.

• The KIPS Transactions:PartD
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• v.16D no.3
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• pp.407-416
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• 2009

To support an efficient management of software verification and validation activities, much research has been conducted to predict defects in early phase. And defect prediction models have been proposed to predict defects. But the generality of the models has not been experimentally studied for other software system. In other words, most of prediction models were applied only to the same system that had been used to build the prediction models themselves. Therefore, we performed an experiment to explore generality of major prediction models. In the experiment, we applied three defects prediction models to three different systems. As a result, we cannot find their generality of defect prediction capability. The cause is analyzed to result from a different metric distribution between the systems.