• Journal of the Korea Society of Computer and Information
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• v.20 no.10
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• pp.45-51
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• 2015

In this paper, we propose a way to reduce the SW reliability test time and human errors by utilizing the Lean Six Sigma methodology as a troubleshooting tool. Recently, SW technology is rapidly changing and the importance of SW management has been recognized. Accordingly, the SW reliable test for the SW development outcomes in one of the methods for SW quality improvement is required. However, it consumes a lot of development costs, has the time constraints and human errors in SW reliable test, so, it is difficult to meet the requirements for SW test.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.9 no.4
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• pp.255-260
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• 2009

Multimedia interpretation describes a high level of ion of multimedia content like interrelations and coherencies. In this paper, we describe a multimedia interpretation component from human-centered perspective. In this context, we see the role of the multimedia interpretation component as a liaison between the psychological apparatuses and computer-based artifact. We emphasize this role of multimedia interpretation by outlining a mapping process of the psychological apparatuses and computer-based artifact. This mapping process needs to be transparent to its user so that effective human-centered systems can be achieved. This transparency will provide an immersive environment for the users and enable uninhibited interaction between the users and the artifact. Furthermore, we illustrate how the multimedia interpretation component can be utilized in the medical diagnosis and treatment support application.

• Proceedings of the KIEE Conference
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• summer
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• pp.1409-1411
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• 2004

[$80\;\sim\;90\%$ of Information that human masters from outside are image information which depend on sight. So, in case machine takes the place of human's function, role of image processing is very important. However, because human's sight function is formed through evolution and studying for a long time, substituting it for computer attend with unexpected difficulty. In railroad, there are many field which the application of automation system is expected by using computer instead of safety watch that depend on usual human sight, macrography. But, there are many research field and conditions in the railroad when various outside conditions are considered, comparing with another field. This study analyses the recent image processing technology and reviews the task of image processing technology and its direction.]

• Journal of information and communication convergence engineering
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• v.2 no.1
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• pp.32-35
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• 2004

Human ability to perceive colors is a very subjective matter. The task of measuring and analyzing appropriate colors from colored images, which matches human sensitivity for perceiving colors, has been a challenge to the research community. In this paper we propose a novel approach, which involves the use of fuzzy logic and reasoning to analyze the RGB color intensities extracted from sensory inputs to understand human sensitivity for various colors. Based on this approach, an intelligent system has been built to predict the subject's personality. The results of experiments conducted with this system are discussed in the paper.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.5
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• pp.188-202
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• 2004

This research was designed to investigate biomechanical aspects of the evolution based on the hypothesis of dynamic cooperative interactions between the locomotion pattern and the body shape in the evolution of human bipedal walking The musculoskeletal model used in the computer simulation consisted of 12 rigid segments and 26 muscles. The nervous system was represented by 18 rhythmic pattern generators. The genetic algorithm was employed based on the natural selection theory to represent the evolutionary mechanism. Evolutionary strategy was assumed to minimize the cost function that is weighted sum of the energy consumption, the muscular fatigue and the load on the skeletal system. The simulation results showed that repeated manipulations of the genetic algorithm resulted in the change of body shape and locomotion pattern from those of chimpanzee to those of human. It was suggested that improving locomotive efficiency and the load on the musculoskeletal system are feasible factors driving the evolution of the human body shape and the bipedal locomotion pattern. The hypothetical evolution method employed in this study can be a new powerful tool for investigation of the evolution process.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.219-222
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• 2021

The study shed the light on the information required by Governance Principles and Corporate Social Responsibilities of human resources department from the point deans' perspectives of BA colleges during the discussion the publication of studies that academic members earlier submitted in many journals as authors of similar studies talking about business schools and CSR in Saudi Arabia universities. The study sample was the deans of business schools in northern border university and interviews were used to collect data. Findings showed that CSR in business colleges within an integrated set of research products in the human resource that he owns, support the mechanisms of social services from a purposeful pioneering and creative perspective. In addition, the success of business administration colleges in preparing these cadres depends on the college's senior leadership represented by its dean and its administrative policy to motivate academic staff and students to develop the CSR and governance.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.131-139
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• 2021

In current time, anomaly detection is the primary concern of the administrative authorities. Suspicious activity identification is shifting from a human operator to a machine-assisted monitoring in order to assist the human operator and react to an unexpected incident quickly. These automatic surveillance systems face many challenges due to the intrinsic complex characteristics of video sequences and foreground human motion patterns. In this paper, we propose a novel approach to detect anomalous human activity using a hybrid approach of statistical model and Genetic Programming. The feature-set of local motion patterns is generated by a statistical model from the video data in an unsupervised way. This features set is inserted to an enhanced Genetic Programming based classifier to classify normal and abnormal patterns. The experiments are performed using publicly available benchmark datasets under different real-life scenarios. Results show that the proposed methodology is capable to detect and locate the anomalous activity in the real time. The accuracy of the proposed scheme exceeds those of the existing state of the art in term of anomalous activity detection.

• Journal of information and communication convergence engineering
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• v.19 no.2
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• pp.73-78
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• 2021

As interest in beauty has increased, various studies have been conducted, and related companies have considered the anthropometric data handled between humans and interfaces as an important factor. However, owing to the nature of 3D human body scanners used to extract anthropometric data, it is difficult to accurately analyze a user's body shape until a service is provided because the user only scans and extracts data. To solve this problem, the body shape of several users was analyzed, and the collected anthropometric data were obtained using a 3D human body scanner. After processing the extracted data and the anthropometric data, a custom deep learning model was designed, the designed model was learned, and the user's body shape information was predicted to provide a service suitable for the body shape. Through this approach, it is expected that the user's body shape information can be predicted using a 3D human body scanner, based upon which a beauty service can be provide.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.61-65
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• 2023

최근, 대부분의 태스크가 초거대 언어 모델로 통합되고 있을 정도로 많은 관심 및 연구되고 있다. 초거대 언어 모델을 효과적으로 활용하기 위해서는 모델의 능력에 대한 분석이 선행되어야 하나, 한국어에 대한 분석 및 탐색은 상대적으로 부족하다. 본 논문에서는 한국어 맞춤법 교정 태스크를 통해 초거대 언어 모델의 능력을 탐색한다. 맞춤법 교정 태스크는 문장의 구조 및 문법을 이해하는 능력이 필요하며, 사용자의 만족도에 영향을 미칠 수 있는 중요한 태스크이다. 우리는 맞춤법 세부 유형에 따른 ChatGPT의 제로샷 및 퓨샷성능을 평가하여 초거대 언어 모델의 성능 분석을 수행한다. 실험 결과 제로샷의 경우 문장부호 오류의 성능이 가장 우수했으며, 수사 오류의 성능이 가장 낮았다. 또한, 예제를 더 많이 제공할수록 전체적인 모델의 성능이 향상되었으나, 제로샷의 경우보다 오류 유형 간의 성능 차이가 커지는 것을 관찰할 수 있었다.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.333-335
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• 2023

최근 글을 이해하고 답을 추론하는 연구들이 많이 이루어지고 있으며, 대표적으로 기계 독해 연구가 존재한다. 기계 독해와 관련하여 다양한 데이터셋이 공개되어 있지만, 과거에서부터 현재까지 사람의 영어 능력 평가를 위해 많이 사용되고 있는 토익에 대해서는 공식적으로 공개된 데이터셋도 거의 존재하지 않으며, 이를 위한 연구 또한 활발히 진행되고 있지 않다. 이에 본 연구에서는 현재와 같이 데이터가 부족한 상황에서 기계 독해 모델의 성능을 향상시키기 위한 데이터 증강 기법을 제안하고자 한다. 제안하는 방법은 WordNet을 이용하여 유의어 및 반의어를 기반으로 굉장히 간단하면서도 효율적으로 실제 토익 문제와 유사하게 데이터를 증강하는 것이며, 실험을 통해 해당 방법의 유의미함을 확인하였다. 우리는 본 연구를 통해 토익에 대한 데이터 부족 문제를 해소하고, 사람 수준의 우수한 성능을 얻을 수 있도록 한다.