• Korean Journal of Computational Design and Engineering
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• v.17 no.2
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• pp.123-131
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• 2012

The requirements for computational resources to perform the structural analysis are increasing rapidly. The size of the current analysis problems that are required from practical industry is typically large-scale with more than millions degrees of freedom (DOFs). These large-scale analysis problems result in the requirements of high-performance analysis codes as well as hardware systems such as supercomputer systems or cluster systems. In this paper, the pre- and post-processing system for supercomputing based large-scale structural analysis is presented. The proposed system has 3-tier architecture and three main components; geometry viewer, pre-/post-processor and supercomputing manager. To analyze large-scale problems, the ADVENTURE solid solver was adopted as a general-purpose finite element solver and the supercomputer named 'tachyon' was adopted as a parallel computational platform. The problem solving performance and scalability of this structural analysis system is demonstrated by illustrative examples with different sizes of degrees of freedom.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.243-253
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• 2021

In this study, AHP analysis was conducted on potential residents who are willing or likely to live in a smart city. The purpose is to identify priorities for strategic objectives. In order to establish a hierarchical structure for the vision, core values, and strategic goals of the smart city business, we researched domestic and overseas smart city-related academic papers and research reports, business plans, and institutional websites. After reviewing professors, researchers, experts, and focus groups, 4 2nd tier and 12 3rd tier properties were finally selected and the hierarchical structure was confirmed. As a result of AHP analysis, it was found that residents place the highest importance on quality of life in smart city projects. As a result of the analysis of the lower-level factors, it was found that safety was the most important. The priorities were analyzed in the order of living convenience, eco-friendliness, and social inequality resolution. It is expected that the results of this analysis will be able to suggest strategies to be established when promoting smart city projects in the future.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.1
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• pp.127-143
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• 2016

This study applied DEA analysis to measure the relative efficiency of 35 companies that produce automobile body components. First, the input and output, the improvement target value of the calculated variables, and the reference group for benchmarking for inefficient groups to become efficient groups were established through DEA analysis. In addition, whether inefficiency was due to technical inefficiency or size was analyzed in connection with the cases of the actual companies through the measurement of scale efficiency. Second, a route for efficiency improvement was derived through DEA-Tier analysis by defining the possible group for benchmarking in actuality within the production industry of automobile body components where the primary cooperative company belonged. Third, the financial variables that generate the difference between efficient and inefficient groups were derived through logistic regression analysis. Financial strategies that determine the direction the indices should be improved to allow the inefficient group to become an efficient one were recommended. This research is expected to provide diagnostic methods for management efficiency and the direction of improvement to enhance the management efficiency of automotive parts makers by identifying the causes of the inefficiency of domestic automotive parts makers empirically. The study also provides financial strategies together with the target values of efficiency improvement for each individual company.

• Journal of information and communication convergence engineering
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• v.6 no.3
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• pp.323-326
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• 2008

Data Envelopment Analysis (DEA) is a theoretically sound framework for performance analysis that offers many advantages over traditional methods such as performance ratios and regression analysis. Largely the result of multidisciplinary research during the last three decades in economics, engineering and management, DEA is best described as an effective new way of visualizing and analyzing performance data. Besides, overseas information technology companies have aggressively tried to enter the domestic market. In the age of globalization and high competition, it is imperative that the system integration (SI) companies need to introduce the performance evaluation models of SI projects, including Capability Maturity Model and Software Process Improvement and Capability Determination, to gain a competitive advantage. Therefore, it makes our research regarding evaluation of SI projects very opportune. The purpose of the study is not only to evaluate efficiency of each project by DEA but also to gain insight into various factors such as project complexity, team members' man-months structure, and process index(project management index) that link to the projects performance.

• Journal of Information Processing Systems
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• v.9 no.3
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• pp.405-424
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• 2013

This research paper proposes a secured, robust approach of information security using steganography. It presents two component based LSB (Least Significant Bit) steganography methods for embedding secret data in the least significant bits of blue components and partial green components of random pixel locations in the edges of images. An adaptive LSB based steganography is proposed for embedding data based on the data available in MSB's (Most Significant Bits) of red, green, and blue components of randomly selected pixels across smooth areas. A hybrid feature detection filter is also proposed that performs better to predict edge areas even in noisy conditions. AES (Advanced Encryption Standard) and random pixel embedding is incorporated to provide two-tier security. The experimental results of the proposed approach are better in terms of PSNR and capacity. The comparison analysis of output results with other existing techniques is giving the proposed approach an edge over others. It has been thoroughly tested for various steganalysis attacks like visual analysis, histogram analysis, chi-square, and RS analysis and could sustain all these attacks very well.

• Science of Emotion and Sensibility
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• v.15 no.2
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• pp.317-327
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• 2012

This paper uses the sensibility engineering method to find the model of automobile most appealing to buyers in the $4^{th}$ and $5^{th}$ tier cities of China. Samples of class A & A0 cars were shown to 96 subjects in those cities to investigate their responses in relation to the concepts 'modern' and 'smart'. The result shows that even though men tend to be more sensitive to automobile models in general than women are, both genders showed similar responses to specific models when they were asked to identify a model 'magnificent', 'modern', 'lively', 'smart' or 'cute'. This implies that despite the gender differences in terms of aesthetic sensitivity, both men and women share similar taste in relation to the appearance of cars. Apart from aesthetics, however, men tend to pay a greater attention to the details of design and material used for the cars, while women tend to pay attention to higher priced and better looking cars.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.1
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• pp.23-31
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• 2010

As the web technologies advance, most of applications have being developed as web applications. The web has advantages of high interoperability due to the web standards though the applications run on heterogenous platforms. However, as the systems are growing and have some interoperability problems, the government and the big companies require interoperability testing for new systems. In this paper, we introduce some interoperability issues for web applications and classify them into three groups according to 3-tier client/server architecture. We also propose interoperability testing process and tasks to be performed at each step in the process.

• Asian Journal of Innovation and Policy
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• v.2 no.1
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• pp.1-19
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• 2013

As the catch-up innovation system was exposed to a new competition environment in which second-tier catch-up countries reduced the gap with Korea and advanced Korean firms entered into the frontier product market, it is experiencing system delay in terms of organizational and policy change. Therefore, innovation policy needs to be reorganized from a dynamic perspective to analyze the problems in the transition period and enable the system to overcome organizational and institutional delays. This article investigates the characteristics of transition periods in terms of external environment changes and internal socio-economic pressures. Based on the analysis of environment changes and catch-up system characteristics, it suggests the framework for policy intervention, direction, and practical principles for post catch-up innovation policy. In particular, it suggests the network-based developmental state and policy implementation in order to overcome the limitation of centralized developmental state of catch-up periods.

• Asia pacific journal of information systems
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• v.8 no.2
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• pp.133-159
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• 1998

This essay traverses the ontological space of IS research and identifies various misconceptions, biases, and conceptual peculiarities that inhabit the research. Three aspects of the IS ontology are examined: the conceptualization of the IT construct, demarcation of phenomena for investigation, and conceptual binding of the IT construct to other constructs. Various ontological issues are discussed including the transparency of the IT construct, the objectification of IT, and the causal primacy assigned to IT. The ontological purviews are further explored and their inadequacies are traced in the structurational explication of IS phenomena. At the end, some epistemological implications of the IS ontology are discussed and a two-tier theory structure is proposed for IS research.

• Journal of Korea Multimedia Society
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• v.11 no.12
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• pp.1697-1705
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• 2008

Several studies made for wireless mesh networks aim to optimize the capacity for wireless networks. Aside from protocol improvements, researches were also done on the physical layer particularly on modulation techniques and antenna efficiency schemes. This paper is concerned with the capacity improvements derived from using spatial diversity with smart adaptive array antennas. The use of spatial diversity, which has been widely proposed for use in cellular networks in order to lessen frequency re-use, can be used in mesh networks both to minimize co-channel interference (CCI) and enable multiple transmissions. This paper aims to study the capacity region and bounds in using smart antennas for single-channel multi-radio systems in relation to the number of spatial diversity or sectors as defined by the beam angle $\beta$.