• Journal of Information Processing Systems
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• v.13 no.4
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• pp.731-751
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• 2017

The burgeoning distribution of smartphone web applications based on various mobile environments is increasingly focusing on the performance of mobile applications implemented by JavaScript and HTML5 (Hyper Text Markup Language 5). If application software has a simple functional processing structure, then the problem is benign. However, browser loads are becoming more burdensome as the amount of JavaScript processing continues to increase. Processing time and capacity of the JavaScript in current mobile browsers are limited. As a solution, the Web Worker is designed to implement multi-threading. However, it cannot guarantee the computing ability as a native application on mobile devices, and is not sufficient to improve processing speed. The method proposed in this research overcomes the limitation of resources as a mobile client and guarantees performance by native application software by providing high computing service. It shifts the JavaScript process of a mobile device on to a cloud-based computer server. A performance evaluation experiment revealed the proposed algorithm to be up to 6 times faster in computing speed compared to the existing mobile browser's JavaScript process, and 3 to 6 times faster than Web Worker. In addition, memory usage was also less than the existing technology.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.26 no.10
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• pp.2044-2051
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• 2002

In this paper, the deformed shape, the contact forces and the load-displacement curves of the real hollow gasket made of silicon rubber are analyzed using a commercial finite element program MARC. In the numerical analysis, the silicon rubber is assumed to have the properties of the geometric and material nonlinearity and the incompressibility, and the hyperelastic constitutive relations of that material are represented by the generalized Mooney-Rivlin and Ogden models. The outer frictional contact between the hollow gasket and the groove of rigid container and the inner self-contact of the hollow gasket are taken into account in the course of numerical computation. Experiments are also performed to obtain the material data for numerical computation and to show the validity of the mechanical deformation of the hollow gasket, resulting in good agreements between them.

• Earthquakes and Structures
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• v.3 no.3_4
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• pp.533-548
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• 2012

Dynamic analysis of concrete gravity dam-reservoir systems is an important topic in the study of fluid-structure interaction problems. It is well-known that the rigorous approach for solving this problem relies heavily on employing a two-dimensional semi-infinite fluid element. The hyper-element is formulated in frequency domain and its application in this field has led to many especial purpose programs which were demanding from programming point of view. In this study, a technique is proposed for dynamic analysis of dam-reservoir systems in the context of pure finite element programming which is referred to as the wavenumber approach. In this technique, the wavenumber condition is imposed on the truncation boundary or the upstream face of the near-field water domain. The method is initially described. Subsequently, the response of an idealized triangular dam-reservoir system is obtained by this approach, and the results are compared against the exact response. Based on this investigation, it is concluded that this approach can be envisaged as a great substitute for the rigorous type of analysis.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.15 no.25
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• pp.63-74
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• 1992

This study proposes D- shortage control system which is a convenient tool for cooperative companies to reduce shortages which frequently break out between the manufacturing companies and the cooperative companies. On the ground of theoretical analysis of MRP and JIT system, D- shortage control system sets up a schedule that secures the delivery date by precedent scheduling( D-) comparing with MRP It also syncronizes business, production and release, and builds the pull system comparing with JIT. The factors causing shotages are the scheduling absurdity and the controlling absurdity. The scheduling absurdity can be settled by the calculating required quantity method of MRP and the controlling absurdity can be settled by daily control of business, production and pruchasing fuctions by the pull system of JIT. And the inventory and the WIP can be reduced by the operating of PULL system and by the settlement of D- shortage control practices. The Application of D- shortage control system, therefore, enables the rationalization of logistics and reduces the inventory And it leads to the reinforced competitiveness and the security of subsistence of manufacturer by the cost ruduction, the reduction of financial difficulty, and the insurance of the delivery date.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.406-409
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• 2012

본 논문은 하이퍼텍스트 문서의 자동분류 성능을 높이기 위한 새로운 접근법을 제시한다. 하이퍼텍스트 문서는 일반 문서와 달리 하이퍼링크로 서로 연결된 구조를 가진다. 이 하이퍼링크 정보는 대상문서와 연관도가 높은 정보를 가지고 있으며, 이러한 링크 정보로부터 특징을 보다 잘 선별하기 위해서는 보다 정밀한 접근법이 필요하다. 본 논문은 단어간 의미 유사도를 기반으로 하이퍼텍스트 링크 정보를 활용한 특징 가공기법을 제안한다. 제안 기법은 하이퍼링크 문서로부터 대상문서와 연관도가 높은 특징을 추출하기 위해 단어간 유사도 함수를 사용하며, 유사도 함수는 워드넷의 상/하위어 관계를 이용한다. 그리고 추출된 특징들 중 의미적으로 비슷한 개념의 특징들을 합병함으로써 의미적으로 보다 견고한 분류 모델을 구축한다. 제안 기법을 검증하기 위해 Web-KB 문서집합을 이용하여 실험을 수행하였고 실험 결과 기존 방법보다 우수한 성능을 보였다.

• Knowledge Management Research
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• v.20 no.3
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• pp.91-106
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• 2019

In the era of the 4th Industrial Revolution, the importance of information protection is increasing day by day with the advent of the 'hyper-connection society', and related government financial investment is also increasing. The source of the government's fiscal investment projects is taxpayers' money. Therefore, the government needs to evaluate the effectiveness and feasibility of the project by comparing the public benefits created by the financial investment projects with the costs required for it. At present, preliminary feasibility study system which evaluates the feasibility of government financial investment projects in Korea has been implemented since 1994, but most of them have been actively carried out only in some fields such as large SOC projects. In this study, we discuss the feasibility evaluation of public projects for the purpose of information security. we introduce the case study of the personal information protection program of Korean public institutions and propose a cost-effectiveness analysis method that can be applied to the feasibility study of the information protection field. Finally, we presented the feasibility study and criteria applicable in the field of information security.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.2
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• pp.73-83
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• 2021

The development of technology based on digital technology has made 'hyper connectivity' between different services a reality, and an example of this is the reinforcement of non-face-to-face services. The non-face-to-face service is a service provided by service providers and customers using information and communication and technology without direct contact. Recently, it has expanded to the hotel industry, which is highly dependent on human resources, centering on the restaurant business. Therefore, this study attempted to identify the case of the "R" hotel in the Gangwon region, which is introducing and operating a kiosk, and to confirm the matters to be considered, the system operation method, and expected effects, etc. for hotels that intend to operate it in the future. It is difficult to affirm that the introduction of KIOSK directly reduced labor costs or increased service efficiency, but it seems meaningful that it has improved the convenience of users. In future research, practical research is needed on the impact of the system on management activities in relation to the introduction of KIOSK.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.143-148
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• 2022

Brain tumor classification is an important process that allows doctors to plan treatment for patients based on the stages of the tumor. To improve classification performance, various CNN-based architectures are used for brain tumor classification. Existing methods for brain tumor segmentation suffer from overfitting and poor efficiency when dealing with large datasets. The enhanced CNN architecture proposed in this study is based on U-Net for brain tumor segmentation, RefineNet for pattern analysis, and SegNet architecture for brain tumor classification. The brain tumor benchmark dataset was used to evaluate the enhanced CNN model's efficiency. Based on the local and context information of the MRI image, the U-Net provides good segmentation. SegNet selects the most important features for classification while also reducing the trainable parameters. In the classification of brain tumors, the enhanced CNN method outperforms the existing methods. The enhanced CNN model has an accuracy of 96.85 percent, while the existing CNN with transfer learning has an accuracy of 94.82 percent.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.373-373
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• 2021

Rainfall forecasting is an important issue that is applied in many areas, such as agriculture, flood warning, and water resources management. In this context, this study proposed a statistical and machine learning-based forecasting model for monthly rainfall. The Bayesian Gaussian process was chosen to optimize the hyperparameters of the Stacked Long Short-term memory (SLSTM) model. The proposed SLSTM model was applied for predicting monthly precipitation of Seoul station, South Korea. Data were retrieved from the Korea Meteorological Administration (KMA) in the period between 1960 and 2019. Four schemes were examined in this study: (i) prediction with only rainfall; (ii) with deseasonalized rainfall; (iii) with rainfall and minimum temperature; (iv) with deseasonalized rainfall and minimum temperature. The error of predicted rainfall based on the root mean squared error (RMSE), 16-17 mm, is relatively small compared with the average monthly rainfall at Seoul station is 117mm. The results showed scheme (iv) gives the best prediction result. Therefore, this approach is more straightforward than the hydrological and hydraulic models, which request much more input data. The result indicated that a deep learning network could be applied successfully in the hydrology field. Overall, the proposed method is promising, given a good solution for rainfall prediction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.127-130
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• 2022

This paper is a study on singing voice synthesis modeling using a generator loss function, which analyzes various factors that may occur when applying BEGAN among deep learning algorithms optimized for image generation to Audio domain. and we conduct experiments to derive optimal quality. In this paper, we focused the problem that the L1 loss proposed in the BEGAN-based models degrades the meaning of hyperparameter the gamma(𝛾) which was defined to control the diversity and quality of generated audio samples. In experiments we show that our proposed method and finding the optimal values through tuning, it can contribute to the improvement of the quality of the singing synthesis product.