• The Journal of Society for e-Business Studies
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• v.16 no.4
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• pp.17-31
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• 2011

Damage caused by private information breach causes serious problems and huge social losses. In order to make a better policy that prevents society from suffering from the damage, we have to know about the actual size of damage. So it is needed to develop a quantitative model of private information breach that helps catching the more accurate size of damage. In our study, we suggest a method which calculate not only the costs of damage from firms' perspective but also those from individual and social perspectives. In this process, we refer to methods adopted by JNSA(Japan Network Security Association) and Ponemon Research Institue and modify it with considering our current situation. Also we try to make a new model by using new methods(web traffic analysis, survey, indirect comparison, etc.) and verify it with theories and methods from econometrics, cost accounting and theory of producer.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.3
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• pp.1-12
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• 2024

In this paper, we fine-tuned KoAlpaca, a large-scale Korean language model, and implemented a blog text generation system utilizing it. Blogs on social media platforms are widely used as a marketing tool for businesses. We constructed training data of positive reviews through emotion analysis and refinement of collected sponsored blog texts and applied QLoRA for the lightweight training of KoAlpaca. QLoRA is a fine-tuning approach that significantly reduces the memory usage required for training, with experiments in an environment with a parameter size of 12.8B showing up to a 58.8% decrease in memory usage compared to LoRA. To evaluate the generative performance of the fine-tuned model, texts generated from 100 inputs not included in the training data produced on average more than twice the number of words compared to the pre-trained model, with texts of positive sentiment also appearing more than twice as often. In a survey conducted for qualitative evaluation of generative performance, responses indicated that the fine-tuned model's generated outputs were more relevant to the given topics on average 77.5% of the time. This demonstrates that the positive review generation language model for sponsored content in this paper can enhance the efficiency of time management for content creation and ensure consistent marketing effects. However, to reduce the generation of content that deviates from the category of positive reviews due to elements of the pre-trained model, we plan to proceed with fine-tuning using the augmentation of training data.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.557-561
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• 2006

매년 영산강 본류 수질이 악화되고 있는 영산강 유역주변은 최근 전남도청 이전에 따른 남악 신도시개발, J-Project 및 환경 문화 복원사업의 추진, 기업도시개발등과 관련하여 수질관리개선 및 주요환경현안으로 대두되고 있다. 따라서 영산강 하구역 관리방안 중 담수호 수질개선대책의 일환으로 수문개방을 통한 해수 유입에 의한 수질 개선을 효과를 도모하는 방안이 제시되고 있다. 이에 하구호 방조제의 수문 개통 및 완전 개방에 따른 수질개선 문제에 앞서 발생할 수 있는 환경변화 중 영산강 및 연안역 염분의 확산범위를 평가하기 위하여 수치모형 실험이 실시되었다. 담수 유입에 따른 염분 확산 범위 및 해수 유입에 따른 염분의 역상 범위를 평가 하기위해 수치 모델로는 EFDC를 적용하였고, 하천형상과 연안역을 동시에 고려하기 위해 수평좌표계는 직교곡선좌표로 격자 크기는 $120{\sim}1000m$, 연직방향으로 시그마좌표를 사용하였다. 담수 방류 및 염분역상 효과를 알아보기 위해 1997년부터 2005년까지의 하구 수문 방류량 및 하천 유입량으로부터 홍수기와 갈수기를 선택하여 현재 상황 및 수문의 부분 개통 하구둑 완전 개방에 시나리오를 설정하여 실시하였다. 수문의 부분개통과 하구둑 완전 개방에 따른 염분 확산 범위는 영산강 하구둑을 기준으로 홍수기에는 $13{\sim}17km$, 갈수기에는 36km 이상의 상류지역에서 해수와 담수의 분리 기준인 0.3 psu 범위가 계산됨을 알 수 있다.

• KIISE Transactions on Computing Practices
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• v.23 no.6
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• pp.379-385
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• 2017

In enterprise environments, hybrid storage typically utilizes SSDs over disk-based RAID. Typically, SSDs over RAID are used as the data cache. Recently, the LeavO caching scheme was introduced to reduce the parity update overhead of the underlying RAID. In this paper, we combine the data caching and LeavO caching schemes and derive cost models of the combined cache to determine the optimal data and LeavO cache sizes. We also propose the Adaptive Combined Cache that dynamically adjusts the data cache and LeavO cache sizes for evolving workloads. Experimental results show that the performance of the Adaptive Combined Cache is significantly superior to that of the conventional data caching scheme and is comparable with that of the off-line optimal scheme.

• Journal of Convergence for Information Technology
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• v.7 no.6
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• pp.229-235
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• 2017

In recent years, research has been actively carried out to recognize and recognize objects based on a large amount of data. In this paper, we propose a system that extracts objects that are thought to be obstacles in road driving images and recognizes them by car, man, and motorcycle. The objects were extracted using Optical Flow in consideration of the direction and size of the moving objects. The extracted objects were recognized using Alexnet, one of CNN (Convolutional Neural Network) recognition models. For the experiment, various images on the road were collected and experimented with black box. The result of the experiment showed that the object extraction accuracy was 92% and the object recognition accuracy was 96%.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.77-80
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• 2014

최근 컴퓨터와 인터넷 이용의 확산, 스마트폰을 포함한 스마트 기기의 보급과 소셜 네트워크 이용의 확대, 위치 기반의 다양한 서비스 확대 등으로 처리해야 할 데이터 크기가 증가하는 추세이다. 이에 따라 대용량 데이터에 대한 처리가 큰 이슈로 떠오르고 있다. 그로 인해 대용량 데이터 처리를 위한 큰 규모의 분산 컴퓨팅 환경을 지원하는 프레임워크인 하둡이 개발되었으며 많은 기업에서 이를 활용하고 있는 추세이다. 하지만 대용량 데이터 중 영상, 의료, 센서 데이터 등 다차원 데이터 처리에 관한 연구는 미비한 상태이다. 기존의 다차원 데이터 처리를 위해 다양한 다차원 인덱스가 제안되었지만, 대용량 다차원 데이터 처리는 단일머신에서는 비효율적인 단점이 있다. 본 논문에서는 다차원 인덱스 기법인 그리드 파일을 하둡의 분산 병렬 처리 모델인 맵리듀스를 기반으로 생성하는 기법을 제안한다. 또한 앞서 생성된 그리드 파일을 가지고 맵리듀스를 이용한 질의처리 방법을 제안 한다. 이로 인해 단일머신에서의 그리드 파일 생성을 병렬처리 함으로써 생성 시간을 단축시키고 질의 처리 또한 맵리듀스를 이용하여 병렬 처리 함으로써 질의 시간 단축을 예상한다.

• Journal of the Korea Society of Computer and Information
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• v.9 no.1
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• pp.103-109
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• 2004

Mobile payment service is a new innovating technology in the micro payment industry. Although it emerged only one or two years a9o in Korea, it is now highly used and prospered by many online companies. Traditional studies concerning the electronic payment system are usually about the payment process itself, so they stressed the security or the robustness of the process. The study from the angle of behavioral science seldom exists. This article describes the phenomenon of technology adoption with a particular focus on telephone Payment service. The article identifies which characteristic of the telephone payment service affects to the user status (user, non-users). To do this, this article mainly used Roger's Technology Acceptance Model and some characteristics are added to the model. The most important perceptual characteristic that affects to the user status was not security, but ease of use-the telephone payment service had to enhance continuously for the competitive advantage over the other payment service. Observability and convenience are also noted as important.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.3 s.303
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• pp.9-16
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• 2005

For designing the database more efficiently, normailzation can be enforced to minimize the degree of unnecessary data redundancy and contribute to enhance data integrity. However, deep normalization tends to provoke multiple way of schema join, which could then induces response time degradation. To mitigate this sort of side effect that the normalization could brought, a number of field studies we observed adopted the idea of denormalization. To measure whether denormalization contributes to response time improvement, we in this paper developed two different data models about customer service system, one with perfect normalization and the other with denormalization, and evaluated their query response time behaviors. Performance results show that normalization case consistently outperforms denormalization case in terms of response time. This study show that the idea of denormalization, quite rarely contributes to that sort of improvement due ironically to the unnecessary data redundancy.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.6
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• pp.506-511
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• 2017

LED lighting, which many companies are pursuing commercialization, is a representative green energy technology. However, the LED lighting for broadcasting image should have high output and easy portability compared with general LED lighting devices for street lamps, advertisement or transportation devices. Therefore, while shooting a broadcast image if you use LEDs as a substitute light source for halogen lamps and fluorescent lamps that are large in size and uncomfortable to handle it is expected that the lightening of the equipment will activate the broadcasting image lighting equipment industry. After considering the mass production of the LED module board and the SMT production size of the chip mounter, the board size was determined considering the overall size of the product by model. In this paper, four 20W LED boards are arranged vertically in order to produce an 80W board. In other words, by sharing LED module board size by model, high power LED lighting equipments of 120W and 200W can be selected as an increase in the number of boards.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.44-50
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• 2021

Recently, enterprise storage systems that require large-capacity storage devices to accommodate big data have used large-capacity flash memory-based storage devices with high density compared to cost and size. This paper proposes a high-efficiency life prediction method with slope descent to maximize the life of flash memory media that directly affects the reliability and usability of large enterprise storage devices. To this end, this paper proposes the structure of a matrix for storing metadata for learning the frequency of defects and proposes a cost model using metadata. It also proposes a life expectancy prediction policy in exceptional situations when defects outside the learned range occur. Lastly, it was verified through simulation that a method proposed by this paper can maximize its life compared to a life prediction method based on the fixed number of times and the life prediction method based on the remaining ratio of spare blocks, which has been used to predict the life of flash memory.