• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.689-691
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• 2023

본 논문에서는 시작 노드와 목적지 노드 까지의 최단경로를 중점으로 가장 인접한 경유지를 선택하고 경유지가 다수일 경우 하모니서치 알고리즘을 통해 최적의 경로를 탐색하는 기법을 제안한다. 본 논문의 기법은 기존의 사용자의 현 위치에서 인접한 경유지를 추천해주는 시스템과 달리 목적지까지의 경로 전체에서 가장 인접한경유지를 선택해준다는 차별점이 있다. 그렇게 선택된 경유지들은 하모니서치 알고리즘을 사용하여 최적의 경로를 제안한다. 본 논문의 기법은 최단경로의 이탈을 최소화한 경유지 선택으로 거리, 시간, 비용적 측면에서 효율적이며 길을 헤매서 생기는 불필요한 지연을 최소화할 수 있다. 자율주행, 비행기, 선박, 드론 등 최적 경로 이탈시 큰 손실을 안기거나 위험한 시스템에 적용시 큰 효과를 거둘 수 있다.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.111-118
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• 2023

In the ever-changing landscape of finance, the fusion of artificial intelligence (AI)and pair trading strategies has captured the interest of investors and institutions alike. In the context of supervised machine learning, crafting precise and accurate labels is crucial, as it remains a top priority to empower AI models to surpass traditional pair trading methods. However, prevailing labeling techniques in the financial sector predominantly concentrate on individual assets, posing a challenge in aligning with pair trading strategies. To address this issue, we propose an inventive approach that melds the Triple Barrier Labeling technique with pair trading, optimizing the resultant labels through genetic algorithms. Rigorous backtesting on cryptocurrency datasets illustrates that our proposed labeling method excels over traditional pair trading methods and corresponding buy-and-hold strategies in both profitability and risk control. This pioneering method offers a novel perspective on trading strategies and risk management within the financial domain, laying a robust groundwork for further enhancing the precision and reliability of pair trading strategies utilizing AI models.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.9
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• pp.2626-2641
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• 2024

Images taken in low lamination condition suffer from low contrast and loss of information. Low lumination image enhancement algorithms are required to improve the quality and broaden the applications of such images. In this study, we proposed a new Low lumination image enhancement architecture consisting of a transformer-based curve learning and an encoder-decoder-based texture enhancer. Considering the high effectiveness of curve matching, we constructed a transformer-based network to estimate the learnable curve for pixel mapping. Curve estimation requires global relationships that can be extracted through the transformer framework. To further improve the texture detail, we introduced an encoder-decoder network to extract local features and suppress the noise. Experiments on LOL and SID datasets showed that the proposed method not only has competitive performance compared to state-of-the-art techniques but also has great efficiency.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.29B no.8
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• pp.24-34
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• 1992

A process control language is developed using function block configuration, to simplify software development for large scale process control systems, and to implement advanced control algorithms with ease. A function block parser and controller is implemented to be suitable for multi-loop control systems having hierachical structure. On-line change of controller parameter is possible, and inclusion of user defined function block is also possible. By adding plant model block, control performance can be checked in advance. Function blocks of the Smith Predicotor, auto-tuners are implemented to demonstrate usefulness of function block configuration.

• Annual Conference of KIPS
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• 2017.04a
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• pp.602-604
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• 2017

구직자는 취업을 하기 위해 다양한 채용 공고를 확인하고 이력서를 제출하는데 많은 시간을 소비한다. 만약 채용 추천 시스템을 통해 사용자에게 알맞는 회사를 추천해 준다면 구직자는 구직 활동 시간을 절약할 수 있다. 이를 위해 본 논문에서는 구직자에게 알맞는 회사를 추천하기 위한 알고리즘을 알아본다.

• Journal of Multimedia Information System
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• v.6 no.4
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• pp.259-264
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• 2019

In this paper, the prototyping process for developing syllable-initial consonant-based game 'Korean Guards' is described. Users may effectively learn Korean words using alphabetically sequential approaches, but the easiness of access bestowed on the smart environments and game algorithms could be fully utilized for the functional advantages for educational purposes. This functional game is developed on Android OS and the prototypical outcome is shown.

• Proceedings of the KIEE Conference
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• 1999.11c
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• pp.788-790
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• 1999

A software implementation of floating-point addition and multiplication is presented. For this, the ANSI/IEEE standard for binary floating-point arithmetic is reviewed briefly. The architecture and behavior of the $Intel^{(R)}\;80{\times}87$ FPU is fully studied and basic algorithms for floating-point addition and multiplication are used for the implementation. Some examples and their verifications are also presented.

• Communications for Statistical Applications and Methods
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• v.11 no.1
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• pp.139-151
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• 2004

Kim et al. (2002) developed public use SAS-based software for two-way stratification design, which is called SOCSLP We describe the details of a new approach implemented using SOCSLP and key differences between the approach and the sampling schemes of Sitter and Skinner (1994) and Winkler (2001). In addition, a numerical example is given to compare those methods with respect to the probabilities of selecting sample arrays.

• Journal of Multimedia Information System
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• v.4 no.2
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• pp.89-92
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• 2017

This paper investigates simple gray level image enhancement technique based on Genetic Algorithms and Local Statistics. The task of GA is to adapt the parameters of local sliding masks over pixels, finding out the best parameters preserving the brightness and possibly preventing the creation of intensity artifacts in the local area of images. The algorithm is controlled by GA as to enhance the contrast and details in the images automatically according to an object fitness criterion. Results obtained in terms of subjective and objective evaluations, show the plausibility of the method suggested here.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1983.10a
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• pp.27-31
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• 1983

It is the aim of the placement studies of telephone exchanges to provide facility plans which give the most economic investiment time and size to satisfy the future telephone demand of the area. Main subjects of the stuies are usually the optimal number, locations, service areas, final capacity of the telephone exchanges. This paper explains about the basic methodologies and algorithms expressed in PLAX, a software developed by KETRI to tackle the placement problem in urban areas.