• KIPS Transactions on Computer and Communication Systems
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• v.4 no.1
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• pp.11-14
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• 2015

WSN (Wireless Sensor Network) based on low-power is one of the core technologies in the ubiquitous society. In this paper, we present a border surveillance and control system in WSN environment. The system consists of static sensor node, mobile sensor node, static gateway, mobile gateway, server and mobile application. Mobile applications are divided into user mode and manager mode. So users monitor border surveillance through mobile phone and get information of border network environment without time and space constraints. In manager mode, for the flexible operation of nodes, manager can update to the software remotely and adjust the position of the mobile node. And also we implement a suitable multi-hop routing protocol for scalable low-power sensor nodes and confirm that the system operates well in WSN environment.

• Journal of KIISE:Software and Applications
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• v.35 no.7
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• pp.452-461
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• 2008

Binary diffing is a method to find differences in similar binary executables such as two different versions of security patches. Previous diffing methods using flow information can detect control flow changes, but they cannot track constant value changes. Biffing methods using assembly instructions can detect constant value changes, but they give false positives which are due to compiling methods such as instruction reordering. We present a binary diffing method and its implementation named SCV which utilizes both structure and value information. SCV summarizes structure and constant value information from disassembled code, and matches the summaries to find differences. By analyzing a Microsoft Windows security patches, we showed that SCV found necessary differences caused by constant value changes which the state-of-the-art binary diffing tool BinDiff failed to find.

• Journal of Labour Economics
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• v.43 no.1
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• pp.1-34
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• 2020

As the economic environment rapidly changes, the ability to flexibly adapt has become a vital skill which is primarily attained through education and training. Subsequently, it is essential that the effects of vocational eduction and training are closely examined to see if they are fulfilling their goals; specifically, whether they bolster the chances of gaining employment. To that end, the endogenous aspects of training variables must be controlled. This study critically assesses the approaches of current literature in regards to tackling the endogeneity issue, and investigates the effects of vocational training through various econometric models. The results failed to reveal any positive effects of Korea's vocational training on employment. However, the negative effects were also not large enough to be significant. Additionally, the marginal effects were weaker for women and older age groups-which show a disparity between men and women-than for men and younger age groups, respectively. A more comprehensive and in-depth analysis will be needed of these results using recent data and detailed information about the training process.

• Journal of the Korea institute for structural maintenance and inspection
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• v.16 no.5
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• pp.29-39
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• 2012

The main objective is to predict the future degradation and maintenance budget for a suspension bridge system. Bayesian inference is applied to find the posterior probability density function of the source parameters (damage indices and serviceability), given ten years of maintenance data. The posterior distribution of the parameters is sampled using a Markov chain Monte Carlo method. The simulated risk prediction for decreased serviceability conditions are posterior distributions based on prior distribution and likelihood of data updated from annual maintenance tasks. Compared with conventional linear prediction model, the proposed quadratic model provides highly improved convergence and closeness to measured data in terms of serviceability, risky factors, and maintenance budget for bridge components, which allows forecasting a future performance and financial management of complex infrastructures based on the proposed quadratic stochastic regression model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.5248-5255
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• 2014

Because of the rapid growth of smart phone market, the number of mobile applications has increased exponentially. As mobile applications are developing at a rapid rate, many of them are being developed without considering a systematic development process or quality factors, such as reusability, extensibility, etc.. As a result, they have many faults internally, they are being underrated in satisfaction or reliability from customers, and finally customers do not update or repeat the purchase. Therefore, a meta-model of development process for mobile applications was designed to improve the continuous usability of mobile applications as well as the satisfaction and reliability from users. Applying development process based on a meta-model to mobile application development is expected to improve development productivity and quality of mobile applications.

• Journal of the Institute of Convergence Signal Processing
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• v.15 no.4
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• pp.148-154
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• 2014

This paper suggests a new system based on image-processed information which is designed to control traffic light by measuring two-way traffic at the same time with a surveillance camera. With this system, the existing way of using one camera for one lane or loop coil will be improved to the more effective way of using only one camera to monitor a two-way, 8 lane roads statistically. Car images can be detected clearly even in irregular condition because of the background updating in real time. In addition, more accurate measurement is possible to users by selecting extra attention-needed regions. The automatic traffic light controlling algorithm, suggested in this paper, will prevent users and drivers from wasting their time and energy by controlling the number of traffic in advance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.1
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• pp.193-204
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• 2017

The security of Internet systems critically depends on the capability to keep anti-virus (AV) software up-to-date and maintain high detection accuracy against new malware. However, malware variants evolve so quickly they cannot be detected by conventional signature-based detection. In this paper, we proposed a malware classification method based on sequence patterns generated from the network flow of malware samples. We evaluated our method with 766 malware samples and obtained a classification accuracy of approximately 40.4%. In this study, malicious codes were classified only by network behavior of malicious codes, excluding codes and other characteristics. Therefore, this study is expected to be further developed in the future. Also, we can predict the attack groups and additional attacks can be prevented.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.4
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• pp.899-903
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• 2017

In this paper, it is shown the in-vehicle network architecture and implementation for multimedia service which supports Human machine interface of multi-passengers. For multi-passengers' vehicle, it has to be considered the factor of network traffic, simultaneously data transferring to multi users and accessibility to use variety of media contents for passengers compared to conventional in-vehicle network architecture system Therefore, it is proposed the change of network architecture compared with general MOST network, implementation of designed software module which can be interoperable between ethernet and MOST network and accessible interface that passenger can be plugged into MOST network platform using their device based on ethernet network system.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.489-494
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• 2016

Developing 3D games of quality is getting easier as commercial game engines have significantly evolved. It is still difficult, however, for entry-level developers to create various avatars which could affect the entire game because it requires expertise in 3D design and programming. We propose a design of an avatar assembly system based on a commercial game engine, Unity. It includes the assembly, customization, and management of avatars. It also provides an avatar update mechanism via the World Wide Web(WWW) provided by Unity's asset system so that various avatars can be supplied after the initial game distribution.

• Aerospace Engineering and Technology
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• v.5 no.2
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• pp.227-239
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• 2006

Reliability prediction provides a rational basis for design decisions such as the choice between alternative concepts, choice of part quality levels, derating factors to be applied, use of proven versus state-of-the-art techniques, and other factors. For this reasons, reliability prediction is essential functions in developing space systems. The worth of the quantitative expression lies in the information conveyed with the numerical value and the use which is made of that information and reliability prediction should be initiated early in the configuration definition stage to aid in the evaluation of the design and to provide a basis for item reliability allocation (apportionment) and establishing corrective action priorities. Reliability models and predictions are updated when there is a significant change in the item design availability of design details, environmental requirements, stress data, failure rate data, or service use profile. In this paper, the procedure, selection of reliability data and methods for space system reliability prediction is presented.