• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.96-97
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• 2020

랜덤워크 기반 노드 랭킹 방식 중 하나인 RWR(Random Walk with Restart) 기법은 희소행렬 벡터 곱셈 연산과 벡터 간의 합 연산을 반복적으로 수행하며, RWR 의 수행 시간은 희소행렬 벡터 곱셈 연산 방법에 큰 영향을 받는다. 본 논문에서는 CSR5(Compressed Sparse Row 5) 기반 희소행렬 벡터 곱셈 방식과 CSR-vector 기반 희소행렬 곱셈 방식을 채택한 GPU 기반 RWR 기법 간의 비교 실험을 수행한다. 실험을 통해 데이터 셋의 특징에 따른 RWR 의 성능 차이를 분석하고, 적합한 희소행렬 벡터 곱셈 방안 선택에 관한 가이드라인을 제안한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.95-96
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• 2024

본 논문은 금융 범죄 중 하나인 보이스피싱을 실시간으로 예방하기 위한 탐지 기법을 제안한다. 제안된 모델은 수화기에 출력되는 음성을 녹음하고 네이버 CSR(Cloud Speech Recognition)을 통해 텍스트 파일로 변환한 후 딥러닝 기반의 KoBERT를 바탕으로 다양한 보이스피싱 패턴을 학습하여 실시간 환경에서의 신속하고 정확한 탐지를 위해 실제 통화 데이터를 적절하게 처리하여, 이를 통해 효과적인 보이스피싱 예방에 도움을 줄 것으로 예상된다.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.61-71
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• 2020

The study examines the impact of corporate governance mechanisms, such as board characteristics on corporate social responsibility disclosure (CSRD). The data on CSRD items and board characteristics have been collected by content analysis of the annual reports of 30 publicly-listed banks in Bangladesh covering six years, from 2013 to 2018. More specifically, the directors' report, the chairman's statement, notes to the financial statement and CSR disclosure reports included in annual reports were used to collect the CSRD data. The empirical analysis applies the ordinary least square and the generalized method of moments. The results of the study have revealed that board size, board independence, female board member, and foreign directors have a significant positive impact on CSRD. By contrast, political directors and audit committee size have a negative impact on CSRD. Interestingly, accounting experts on boards ensure more CSRD as they curb the influence of politicians on the board. Thus, it is better to increase accounting experts and decrease politicians on the board. These findings provide valuable insights into the process of forming a suitable CSR policy by connecting the efforts of the board, government, and regulatory bodies to enhance the performance of banks to CSR as well as to CSRD.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.41 no.11
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• pp.87-95
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• 2004

This paper proposes a new test data compression/decompression method for SoC(Systems-on-a-Chip). The method is based on analyzing the factors that influence test parameters: compression ratio and hardware overhead. To improve compression ratio, the proposed method is based on Modified Statistical Coding (MSC) and Input Reduction (IR) scheme, as well as a novel mapping and reordering algorithm proposed in a preprocessing step. Unlike previous approaches using the CSR architecture, the proposed method is to compress original test data and decompress the compressed test data without the CSR architecture. Therefore, the proposed method leads to better compression ratio with lower hardware overhead than previous works. An experimental comparison on ISCAS '89 benchmark circuits validates the proposed method.

• Asia-Pacific Journal of Business
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• v.12 no.1
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• pp.195-208
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• 2021

Purpose - The primary objective of this paper is to empirically examine whether the engagement of socially responsible activities in corporations affect the tendency of tax-avoidance by using the sample of Korean companies. We are particularly interested in Chaebol-affiliated firms, which are a special type of Korean conglomerates. Design/methodology/approach - This study is based on a sample of 5,496 firm-year observation data from 2011 to 2017 by using the ESG ratings from the Korea Corporate Governance Service(KCGS), a ESG rating agency in Korea. For our analysis, the firms were separated into 1,547 Chaebol-affiliated firms and other 3,949 firms. All financial and firm data were extracted from Fn-guide, which provides financial information for Korean listed firms. Findings - We find that CSR is generally positively related to the effective tax rate, which indicates a lower level of tax avoidance for more socially responsible firms. In particular, a positive relationship of social score with GAAP ETR was observed. Research implications or Originality - We find that the positive relationship is robust to the group of chaebol and non-chaebol affiliates unlike extant literature.

• International Commerce and Information Review
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• v.19 no.4
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• pp.147-174
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• 2017

Korean companies currently operating in China have made active efforts to undertake corporate social responsibility activities and corporate advertising to improve their image, as well as marketing activities directly related to their products. In this context, this study aims to analyze how corporate social responsibility activities and corporate advertising influence a company's image from the perspective of Chinese consumers. This study also analyzes corporate image, consumer-company identification, and the structural relationship between the consumers' behavioral responses and their evaluation of Korean products. Based on theoretical discussions and previous studies, the study tests five research hypotheses for the development of a theoretical research model. In order to empirically test the research model, data were collected by enlisting and observing MBA students from major universities in China. The results obtained by actual analysis are as follows. First, corporate social responsibility activities and corporate advertising were found to be positively influential on corporate image. Second, corporate image is positively influential on consumer-company identification. The consumer-company identification of Chinese consumers' evaluation of Korean products, and positive evaluation of Korean products in turn induce positive influences on Chinese consumers' behavioral responses. These results suggest that the Korean companies already established in China not only need to enhance a positive corporate image but also have to make efforts to undertake corporate social responsibility activities and corporate advertising activities in order to improve their continuous and long-term relationship with Chinese consumers.

• Management & Information Systems Review
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• v.36 no.2
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• pp.133-156
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• 2017

This paper explores a theoretical framework, in which compassion arising from others' suffering among organizational members can be connected to EV to CSR activities via POI. We argue that compassion may generate positive identity related to being a member of a particular organization (i.e., POI), which increases to EV to CSR, ultimately leading to the enhancement of the corporate reputation. In return, an enhanced reputation for the corporation results in an increase of employees' perceived organizational identity via increase of CEI. Employees with high POI are more likely to carry out compassion and share it with others within an organization. In short, the positive circulation between compassion and EV to CSR as shown in Figure 2 demonstrates not only the ways in which compassion among organizational members can evoke EV to CSR through POI, but also how EV to CSR can facilitate compassion within an organization in terms of enhanced corporate reputation.

• Journal of Korea Multimedia Society
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• v.22 no.12
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• pp.1415-1429
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• 2019

Nowadays object tracking process becoming one of the most challenging task in Computer Vision filed. A CSR-DCF (channel spatial reliability-discriminative correlation filter) tracking algorithm have been proposed on recent tracking benchmark that could achieve stat-of-the-art performance where channel spatial reliability concepts to DCF tracking and provide a novel learning algorithm for its efficient and seamless integration in the filter update and the tracking process with only two simple standard features, HoGs and Color names. However, there are some cases where this method cannot track properly, like overlapping, occlusions, motion blur, changing appearance, environmental variations and so on. To overcome that kind of complications a new modified version of CSR-DCF algorithm has been proposed by integrating deep learning based object detection and CSRT tracker which implemented in OpenCV library. As an object detection model, according to the comparable result of object detection methods and by reason of high efficiency and celerity of Faster RCNN (Region-based Convolutional Neural Network) has been used, and combined with CSRT tracker, which demonstrated outstanding real-time detection and tracking performance. The results indicate that the trained object detection model integration with tracking algorithm gives better outcomes rather than using tracking algorithm or filter itself.

• The Journal of the Korea Contents Association
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• v.6 no.10
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• pp.9-16
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• 2006

In this paper, the acoustic model output of CSR(Continuous Speech Recognition) was used to analyze news data News database used in this experiment was consisted of 2,093 articles. Due to the low efficiency of language model, conventional Korean CSR is not appropriate to the analysis of news data. This problem could be handled successfully by introducing post-processing work of recognition result of acoustic model. The acoustic model more robust than language model in Korean environment. The result of post-processing work was made into KIF(Keyword information file). When threshold of acoustic model's output level was 100, 86.9% of whole target morpheme was included in post-processing result. At the same condition, applying length information based normalization, 81.25% of whole target morpheme was recognized. The purpose of normalization was to compensate long-length morpheme. According to experiment result, 75.13% of whole target morpheme was recognized KIF(314MB) had been produced from original news data(5,040MB). The decrease rate of absolute information met was approximately 93.8%.

• Spatial Information Research
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• v.23 no.2
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• pp.11-20
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• 2015

Abstract Monitoring is the most critical element in implementing "forest carbon offset project" to enhance the visibility of CSR (Corporate Social Responsibility) in North Korea. This study is intended to explore monitoring potential in terms of forest carbon offset project using satellite image for Baekdu mountain of North Korea. The permanent record of standard satellite remote sensing system demonstrated its capability of presenting area-wide visual evidences of monitoring conditions in Mt. Baekdu mountain of North Korea (site suitability, carbon stock by forest biomass growth, carbon emission by forest biomass loss, deforestation and degradation, environmental, social and economic impact specified in the Carbon Sequestration Law). It doesn't seem very difficult to comply with monitoring requirements for "the forest carbon offset project" due to the probative value of satellite data. Therefore, it could be considerable or realistic approach to utilize CSR based forest carbon offset project as a point of reform and open-door in North Korea. It is anticipated that this research output could be used as a valuable reference for Korea-based enterprises to ensure monitoring potentials using satellite image in exploring forest carbon offset project sites in North Korea.