• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.125-134
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• 2022

This study aims to critically discuss the problems that need to be solved from a humanities perspective in order to utilize big data. It identifies and discusses three research problems that may arise from collecting, processing, and using big data. First, it looks at the fake information circulating with regard to problems with the data itself, specifically looking at article-type advertisements and fake news related to politics. Second, discrimination by the algorithm was cited as a problem with big data processing and its results. This discrimination was seen while searching for engineers on the portal site. Finally, problems related to the invasion of personal related information were seen in three categories: the right to privacy, the right to self-determination of information, and the right to be forgotten. This study is meaningful in that it points out the problems facing in the aspect of big data utilization from the humanities perspective in the era of big data and discusses possible problems in the collection, processing, and use of big data, respectively.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10c
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• pp.316-318
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• 2004

유선, 무선을 합하여 초고속 네트워크의 사용이 급격하게 증가됨에 따라 고속의 네트워크 통신 서비스에 대한 요구가 증가 하였으며 차별화된 인터넷 서비스에 대한 요구가 증가함에 따라 IP 기반의 스위치가 등장하게 되었다. 이러한 스위치의 이슈는 IT 포워딩, 고속 스위치 패브릭 등의 문제를 포함하게 된다. 현재까지의 모든 패킷 스위치는 그 내부적으로 HOL블로킹에 의한 성능 저하의 영향을 최소화하기 위하여 여러 가지 스케줄링 알고리즘을 사용한다. 본 논문에서는 Gigabit 으로 동작하는 패킷 스위치 중에서 Strict Priority 알고리즘, Round Robin 알고리즘을 분석하고 각각의 스케줄러가 COS 기반과 어떤 관계가 있으며 더불어 COS 기반에 따라, 스케줄러를 동적으로 변경하여 기존의 Static 하게 정책적으로 사용되던Algorithm 과의 차별성을 두어 동적 스케줄러의 선택에 의한 Packet 처리 성능향상을 보이도록 한다.

• Proceedings of the KSRS Conference
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• 2000.04a
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• pp.143-148
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• 2000

레이저 프로파일링 시스템의 등장으로, 기존에는 얻을 수 없었던 도시 지역에 대한 DTM 취득이 가능해졌고, 더욱 정확한 정사투영영상 또한 제작할 수 있게 되었다. 하지만, 높이 변화를 보이는 자연지물과 인공구조물이 있는 지역에 대해 기존의 정사투영사진 제작기법이 적용될 때, 폐색이나 이중매핑과 같은 문제가 발생하게 된다. 특히 고층건물이 밀집되어 있는 도심지에서 이러한 현상은 두드러져 정사투영영상의 품질을 저해하는 주요한 원인이 된다. 따라서, 본 연구에서는 카메라의 외부표정요소와 DTM을 이용하여 폐색영역을 탐지하고, 폐색이 안된 다른 영상의 정보를 통해 폐색영역을 복원하여 더욱 완전한 정사투영을 제작할 수 있는 알고리즘을 제안하였다. 제안된 알고리즘에 의해 자연지물이나 인공고조물에 의한 폐색영역을 탐지할 수 있었고 폐색영역의 많은 부분을 부가영상을 이용하여 복원하였다. 건물에 대한 사전지식을 이용하여 폐색영역을 탐지하는 국내 연구가 있지만, 본 연구는 건물에 대한 부가정보나 모델링을 사용하지 않고 DTM과 카메라 외부표정요소만을 이용하여 폐색영역을 탐지한다는 점에서 이러한 연구들과 차별성을 가진다.

• Proceedings of the KIEE Conference
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• 2003.11c
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• pp.758-761
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• 2003

금석문의 영상데이터를 디지털 형태로 검출하고, 영상신호처리 알고리즘을 사용하여 신호의 특성을 분석하고 그 결과를 제시하였다. 대상체는 비석에 음각된 문자로 하였다. 대전 주변의 백제권에서 몇몇 유형의 음각 문자를 형태별로 분류하여 디지털 이미지화한 다음, 문자가 각인된 정보영역과 바탕영역의 신호패턴을 추출하였다. 먼저 칼라 이미지를 grey tone으로 변환한 후, 전처리 과정을 거쳐 이미지의 노이즈나 불명확성을 제거하고 히스토그램 전 영역에 걸쳐 스케일 확장시켰다. 문자가 각인된 정보영역과 바탕영역을 구분하여 무작위로 소이미지 샘플을 취득하고 각 소이미지의 신호패턴을 분석하였다. 그 결과를 중첩의 원리를 이용하여 합성한 후 영역별 신호분석 패턴을 정형화하였다. 유형별로 다소 차이를 보이나 두 영역의 이미지 분석 결과는 차별성을 보였다. 문자 영역은 grey level 범위가 좁고 한정되며 일관성을 보이는데 비해, 바탕영역은 범위가 넓고 광범위하였다. 두 영역의 교차 레벨 범위는 극히 제한적이었으며 패턴 분리에 큰 영향을 끼치지 못하였음이 밝혀졌다. 이 일련의 과정은 알고리즘화되어, 1-2분 정도의 사전 작업만 하면 프로그램에 의해 문자를 추출할 수 있다. 이러한 사실들은 종래 무리한 탁본 작업에만 전적으로 의존하던 금석학 분야의 디지털화를 가능케 할 수 있다.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.5
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• pp.530-538
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• 2003

Recently the needs for keeping existing customers is increasing in the field of marketing. So, the customers needs to be classified by groups and the differentiated responses to the specified customer groups are demanded. In this paper, we implemented a system that classifies the customer groups using the neural network, and classified the purchasing patterns among customer groups. Empirically examining the association rules between two groups, we could find out that similar rules exist between them. So, it is important that customers should be classified into the excellent customer group and the general group for the decision making of marketing. This paper shows that the efficiency of the differentiated marketing can be maximized by raising the correctness of the expectation in the classification of customer groups.

• Convergence Security Journal
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• v.24 no.2
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• pp.63-70
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• 2024

With the development of artificial intelligence technology, our lives are changing in innovative ways, but at the same time, new ethical issues are emerging. In particular, issues of discrimination due to algorithm and data bias, deep fakes, and personal information leakage issues are judged to be social priorities that must be resolved as artificial intelligence services expand. To this end, this paper examines the concept of artificial intelligence and ethical issues from the perspective of artificial intelligence ethics, and includes each country's ethical guidelines, laws, artificial intelligence impact assessment system, artificial intelligence certification system, and the current status of technologies related to artificial intelligence algorithm transparency to prevent this. We would like to examine and suggest institutional improvement measures to strengthen artificial intelligence ethics.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.285-292
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• 2021

In Sapiens it shows the reason that sapiens has conquered the earth for the invention of intersubjective reality. In Homodeus sapiens made the science revolution through the religion of humanism. The development of science showed that human free will and emotion is just made through the chemical interaction of neuron which can be manipulated and developed. Algorithm and data wlll be the sovereign which make decision in everything. Yuval Harari tells us the Homodeus appear and break down the order of equality. His anticipation proves right in competition law issues. The collusion through the algorithm makes it difficult to apply existing cartel logic. Agreement is the ground of responsibility but undertaking is not responsible in the market where sovereign algorithm decides eveything. Extreme price differentiation can appear and break down the existing market logic and competition dogma. Everything changes and it is necessary to have the flexible attitude and develop new logic.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.18 no.1
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• pp.51-57
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• 2000

With the emergence of laser mapping systems, higher resolution DTM of urban area can be acquired and can be used to generate precise orthoimage. But, when the conventional orthoimage generation methods are applied to the area containing features with height difference such as cliffs, bridges, banks. elevated highways and buildings, they cause problems such as occlusion and double mapping. Therefore, this study proposes a new algorithm by modifying and refining conventional orthoimage generation methods. With this algorithm, areas which have occlusion are detected from the base image using camera orientation parameters and DTM. Also, detected areas are restored using alternative images which does not have occlusion in that area. This study can be distinguished from the other studies in the aspects that the proposed algorithm in this paper doesn't need information on building and that uses DTM data and orientation parameters.

• Korean Journal of Optics and Photonics
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• v.33 no.1
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• pp.11-21
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• 2022

We have investigated the optimal design of an aperiodic optical phased array (OPA) for use in light detection and ranging applications. Three optimization algorithms - particle-swarm optimization (PSO), a genetic algorithm (GA), and a pattern-search algorithm (PSA) - were employed to obtain the optimal arrangement of optical antennas comprising an OPA. The optimization was performed to obtain the minimal side-lobe level (SLL) of an aperiodic OPA at each steering angle, using the three optimization algorithms. It was found that PSO and GA exhibited similar results for the SLL of the optimized OPA, while the SLL obtained by PSA showed somewhat different features from those obtained by PSO and GA. For an OPA optimized at a steering angle <45°, the SLL value averaged over all steering angles increased as the angle of optimization decreased. However, when the angle of optimization was larger than 45°, low average SLL values of <13 dB were obtained for all three optimization algorithms. This implies that an OPA with high signal quality can be obtained when the arrangement of the optical antennas is optimized at a large steering angle.

• Journal of Korea Multimedia Society
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• v.13 no.11
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• pp.1630-1642
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• 2010

Recently, there is an increasing need for developing the technique of Hand Gesture Recognition (HGR), for vision based interface. Since hand gesture is defined as consecutive change of hand posture, developing the algorithm of Hand Posture Recognition (HPR) is required. Among the factors that decrease the performance of HPR, we focus on rotation factor. To achieve rotation invariant HPR, we propose a method that uses the property of video that adjacent frames in video have high correlation, considering the environment of HGR. The proposed method introduces template update of object tracking using the above mentioned property, which is different from previous works based on still images. To compare our proposed method with previous methods such as template matching, PCA and LBP, we performed experiments with video that has hand rotation. The accuracy rate of the proposed method is 22.7%, 14.5%, 10.7% and 4.3% higher than ordinary template matching, template matching using KL-Transform, PCA and LBP, respectively.