• Journal of Electrical Engineering and Technology
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• v.6 no.4
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• pp.484-492
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• 2011

Power system analyses, which involve the handling of massive data volumes, necessitate the use of effective visualization methods to facilitate analysis and assist the user in obtaining a clear understanding of the present state of the system. This paper introduces an interface that compensates for the limitations of the visualization modules of dynamic security assessment tools, such as PSS/e and TSAT, for power system variables including generator rotor angle and frequency. The compensation is made possible through the automatic provision of dynamic simulation data in visualized and tabular form for better data intuition, thereby considerably reducing the redundant manual operation and time required for data analysis. The interface also determines whether the generators are stable through a generator instability algorithm that scans simulation data and checks for an increase in swing or divergence. The proposed visualization methods are applied to the dynamic simulation results for contingencies in the Korean Electric Power Corporation system, and have been tested by power system researchers to verify the effectiveness of the data visualization interface.

• Genomics & Informatics
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• v.9 no.4
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• pp.189-193
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• 2011

Simple sequence repeats (SSRs) are ubiquitous short tandem duplications found within eukaryotic genomes. Their length variability and abundance throughout the genome has led them to be widely used as molecular markers for crop-breeding programs, facilitating the use of marker-assisted selection as well as estimation of genetic population structure. Here, we report a software application, "SSR-Primer Generator " for SSR discovery, SSR-primer design, and homology-based search of in silico amplicons from a DNA sequence dataset. On submission of multiple FASTA-format DNA sequences, those analyses are batch processed in a Java runtime environment (JRE) platform, in a pipeline, and the resulting data are visualized in HTML tabular format. This application will be a useful tool for reducing the time and costs associated with the development and application of SSR markers.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.22 no.7
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• pp.436-441
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• 2010

The purpose of this study is to revise the HDD(Heating Degree-Days) of main cities of Korea because the outside temperature rise have been accelerated by global warming recently. Now our HDD(Heating Degree-Days) for the utility design of district heating system had been `established in 20 years ago. Therefore new heating degree days for main cities of korea had been required and determined using long-term measured outside weather temperature data during 30 years. For the analysis of HDD, five different base temperatures ranging from 24 to $16^{\circ}C$ were chosen in the calculation of heating degree days. And new yearly heating degree days of 15 cities of korea were given in the tabular form.

• Proceedings of the SAREK Conference
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• 2008.06a
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• pp.943-948
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• 2008

Global average temperature rise accelerates by global warming in the three decades of the 20th century. But Current HDD ( Heating Degree-Days) which we are using has been established 20 years ago. Therefore new heating degree days for 15 district areas of korea was determined using long-term measured data. Five different base temperatures ranging from 24 to $16^{\circ}C$ were chosen in the calculation of heating degree days. And yearly heating degree days were given in the tabular form.

• Magazine of the Korean Society of Agricultural Engineers
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• v.43 no.1
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• pp.87-95
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• 2001

This study aimed at developing the standard questionnaire database system for rural development. By the previous study for the hierarchical listing of the factors related to rural development in the village level, the targetting questionnaire items pool was proposed. The data base system basically consisted of 3 parts: general, principal and sectoral parts for rural development. General and principal parts had the detailed questionnaires without any further hierarchy, but sectoral one 4-step hierarchy from high/medium/low levels to detailed questionnaires. Tentatively, total 417 questionnaires statements were written with 5 questioning styles: single choosing, multiple choosing, tabular, writing and special questions. Through the checking done by college students team from rural area, the database system having 467 questioning statements was finally developed.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.1
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• pp.37-42
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• 2014

The abstract should concisely state what was done, how it was done, principal results, and their significance. It should be less than 300 words for all forms of publication. The abstract should be written as one paragraph and should not contain tabular material or numbered references. At the end of abstract, keywords should be given in 3 to 5 words or phrases.

• Proceedings of the SAREK Conference
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• 2007.11a
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• pp.17-22
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• 2007

Global average temperature rise accelerates by global warming in the three decades of the 20th century. But now we use heating degree days which was established 20 years ago. Therefore new heating degree days for 15 district areas of korea was determined using long-term measured data. Five different base temperatures ranging from 24 to $16^{\circ}C$ were chosen in the calculation of heating degree days. And yearly heating degree days were given in the tabular form.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.10
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• pp.1902-1910
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• 2009

This paper presents a graphical windows-based program for the education and training for novel network reduction. The object of developed simulator is to provide users with a simple and useable tool for gaining an intuitive feel for power system analysis. The developed simulator consists of the main module (MMI,GUI), the location marginal price module (LMP), the clustering module and network reduction module. Each module has a separate graphical and interactive interfacing window. The developed simulator needs with the PSS/E input data format, generator cost function, location information. Line admittances of reduced network was determined by using the power flow method(Newton-Raphson). So line flow of reduced network is almost same to original power system. Results of reduced network are compared on the window in the tabular format. Therefore, the developed simulator can be utilized as a useful tool for effective education and training for power system analysis.

• Annual Conference of KIPS
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• 2024.05a
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• pp.294-297
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• 2024

Malware detection has become increasingly critical with the proliferation of end devices. To improve detection rates and efficiency, the research focus in malware detection has shifted towards leveraging machine learning and deep learning approaches. This shift is particularly relevant in the context of the widespread adoption of end devices, including smartphones, Internet of Things devices, and personal computers. Machine learning techniques are employed to train models on extensive datasets and evaluate various features, while deep learning algorithms have been extensively utilized to achieve these objectives. In this research, we introduce TabNet, a novel architecture designed for deep learning with tabular data, specifically tailored for enhancing malware detection techniques. Furthermore, the Synthetic Minority Over-Sampling Technique is utilized in this work to counteract the challenges posed by imbalanced datasets in machine learning. SMOTE efficiently balances class distributions, thereby improving model performance and classification accuracy. Our study demonstrates that SMOTE can effectively neutralize class imbalance bias, resulting in more dependable and precise machine learning models.

• Annual Conference of KIPS
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• 2024.10a
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• pp.612-614
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• 2024

Retrieval Augmented Generation(RAG)는 Large Language Models(LLM)에서 발생하는 환각 현상, 민감 정보 노출과 같은 한계들을 극복하기 위해 제안된 기술이다. 새로운 정보가 지속적으로 업데이트되는 외부 데이터베이스로 인해 RAG는 최신 정보에 기반한 정교한 답변 생성을 할 수 있어 질의응답이나 대화문과 같은 텍스트 데이터를 다루는 작업에서 강점을 발휘한다. 반면, 테이블 데이터는 행과 열로 구성된 정형화된 데이터로 각 속성 간에 복잡한 관계를 가지고 있어 충분한 문맥 정보를 추출하는데 어려움을 겪으므로 성능 저하 문제가 발생한다. 본 논문에서는 이러한 문제를 해결하기 위해 테이블 데이터를 분석하기 위한 질의 유형을 정보 검색, 특성 분석, 상관관계 분석, 결과 예측, 추세 분석과 같이 5가지로 분류하고, 각 유형에서 모델이 보이는 성능을 평가한다. 특히, 다양한 질의 유형 데이터를 통해 실험을 진행하고 분석하여 질의 유형의 특징과 RAG 성능 간의 관계성을 연구하고자 하며, 이를 통해 테이블 데이터에서의 RAG 성능 개선 방향을 제시하고자 한다.