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A Study of the Impacting Factors on Sharing Illegal Digital Contents and Copyright Cognition (불법 디지털콘텐츠 공유의도에 영향을 미치는 요인과 저작권인식에 관한 연구)

  • Shen, Hong Yan;Lim, Gyoo Gun
    • Journal of Information Technology Applications and Management
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    • v.25 no.2
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    • pp.23-40
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    • 2018
  • In order to reduce the spread of illegal digital contents, many studies have been focusing on how to stop it through laws and regulations. Only few of the studies tried to explain the illegal behaviors from individual's viewpoints. This paper aims to examine the intention of sharing illegal digital contents over the Internet and proposes a theoretical model based on the Theory of Planned Behavior (TPB) along with the introduction of two outcome expectations. We also argue that the individuals' cognition of online copyright will influence individuals' illegal contents sharing on the Internet. We have collected data from online survey and offline interview. By empirical study, the results support the theoretical model except the subjective norm which has no effect on individuals' behavior. This is a different finding from the previous researches revealing that the subjective norm has no effect on individuals' unethical actions. Overall, the findings provide strong confirmation that attitude, self-efficacy and outcome expectations impact on individual's intention of sharing illegal contents. In addition, this study proposed an improved cognition of online copyright through education and standard of new media management will reduce illegal contents sharing on Internet.

Head/Rear Lamp Detection for Stop and Wrong Way Vehicle in the Tunnel (터널 내 정차 및 역주행 차량 인식을 위한 전조등과 후미등 검출 알고리즘)

  • Kim, Gyu-Yeong;Do, Jin-Kyu;Park, Jang-Sik;Kim, Hyun-Tae;Yu, Yun-Sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.601-602
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    • 2011
  • In this paper, we propose head/rear lamp detection algorithm for stopped and wrong way vehicle recognition. It is shown that our algorithm detected vehicles based on the experimental analysis about the color information of vehicle's lamps. The simulation results show the detection rate about stopped and wrong way vehicles is achieved over 94% and 96% in the tunnel HD(High Definition) video image.

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A Survey of Deterioration Causes of High Voltage Motors in Power Plants (발전소 고압전동기 열화 요인 분석)

  • Kim, Kyeong-Yeol;Kim, Hee-Dong;Kim, Byeong-Rae;Kong, Tae-Sik;Kim, Byong-Han;Lee, Sang-Kil;Lee, Jong-Hweon;Choi, Hong-Suck
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.24 no.10
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    • pp.807-811
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    • 2011
  • When the high voltage motor fails in power plants, there will be an occurrence where the generator's output would be reduced or the generators would trip. Despite of these effects, the causes of deterioration of the high voltage motor is very seldom investigated. In this paper, the collected data which tested in the field over 10 years have been treated statistically, and analyzed to correlate the insulation deterioration of high voltage motor and installation environment, number of start/stop, and service life. Moreover, the proper period of insulation test is developed to map out maintenance strategy and reduce maintenance costs.

Interactions of Behavioral Changes in Smoking, High-risk Drinking, and Weight Gain in a Population of 7.2 Million in Korea

  • Kim, Yeon-Yong;Kang, Hee-Jin;Ha, Seongjun;Park, Jong Heon
    • Journal of Preventive Medicine and Public Health
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    • v.52 no.4
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    • pp.234-241
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    • 2019
  • Objectives: To identify simultaneous behavioral changes in alcohol consumption, smoking, and weight using a fixed-effect model and to characterize their associations with disease status. Methods: This study included 7 000 529 individuals who participated in the national biennial health-screening program every 2 years from 2009 to 2016 and were aged 40 or more. We reconstructed the data into an individual-level panel dataset with 4 waves. We used a fixed-effect model for smoking, heavy alcohol drinking, and overweight. The independent variables were sex, age, lifestyle factors, insurance contribution, employment status, and disease status. Results: Becoming a high-risk drinker and losing weight were associated with initiation or resumption of smoking. Initiation or resumption of smoking and weight gain were associated with non-high-risk drinkers becoming high-risk drinkers. Smoking cessation and becoming a high-risk drinker were associated with normal-weight participants becoming overweight. Participants with newly acquired diabetes mellitus, ischemic heart disease, stroke, and cancer tended to stop smoking, discontinue high-risk drinking, and return to a normal weight. Conclusions: These results obtained using a large-scale population-based database documented interactions among lifestyle factors over time.

Safety Improvement of Military Primary Lithium Batteries by New Protection Circuit for Low Current System (신규 보호회로 적용을 통한 저전류 장비용 군 리튬전지 안전성 개선)

  • Youn, Seong Gi;Cho, Yu Seup
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.32 no.3
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    • pp.256-261
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    • 2019
  • The use of military lithium batteries in this field accelerates the generation of internal pressure because the active materials, lithium and the electrolyte, react to form sulfur dioxide gas. This also reduces the amount of electrolyte. In this condition, batteries can 'vent' or 'explode' especially when completely discharged. Such venting and explosion can be regarded as a safety accident, as toxic gases and shrapnel are ejected from the batteries which can harm the user. A DTaQ was carried out in 2017 as a quality problem solution project to solve this safety issue. A protection circuit was thereby developed, which included a micro controller unit (MCU) which can stop battery usage when in an over-discharging state by sensing its low-voltage condition. In 2018, this concept was expanded to lithium batteries for the remote controlled ammunition system. This paper reports results of the improved performance.

A Study on Worker Risk Reduction Methods using the Deep Learning Image Processing Technique in the Turning Process (선삭공정에서 딥러닝 영상처리 기법을 이용한 작업자 위험 감소 방안 연구)

  • Bae, Yong Hwan;Lee, Young Tae;Kim, Ho-Chan
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.12
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    • pp.1-7
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    • 2021
  • The deep learning image processing technique was used to prevent accidents in lathe work caused by worker negligence. During lathe operation, when the chuck is rotated, it is very dangerous if the operator's hand is near the chuck. However, if the chuck is stopped during operation, it is not dangerous for the operator's hand to be in close proximity to the chuck for workpiece measurement, chip removal or tool change. We used YOLO (You Only Look Once), a deep learning image processing program for object detection and classification. Lathe work images such as hand, chuck rotation and chuck stop are used for learning, object detection and classification. As a result of the experiment, object detection and class classification were performed with a success probability of over 80% at a confidence score 0.5. Thus, we conclude that the artificial intelligence deep learning image processing technique can be effective in preventing incidents resulting from worker negligence in future manufacturing systems.

Energy Consumption and Exercise Effect of University Students During Automatic Stepper Exercise

  • MOON, Hwang-woon;CHOI, Youn-Jin
    • The Korean Journal of Food & Health Convergence
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    • v.7 no.6
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    • pp.17-24
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    • 2021
  • This study investigates the exercise-physiological changes in stages through the movement of the automatic stepper and to analyze the usefulness of the automatic stepper. For 18 male university students, out of 10 levels, 5 level and 10 level of automatic stepper exercise were performed. At each 10, 20, 30 minutes during exercise, 5 and 10 minutes after exercise stop the subjects were examined to analyze the changes in energy consumption after minutes, respiratory exchange rate, heart rate, oxygen consumption per body weight, METs, cumulative energy consumption, and lactic acid to verify the usefulness of the automatic stepper. The mean and standard deviation were calculated using the SPSS, and one-way ANOVA with repeated measure was performed to verify the difference in the mean between time periods. The LSD method was used for the post-hoc test, and the significance level was set to α = .05. There were no significant changes in both 5 and 10 level, but the cumulative energy consumption over time increased significantly. In addition, as a low-intensity exercise intensity is shown, a low increase in lactic acid indicated a safe exercise level. In future studies, in-depth studies of various variables through regular exercise programs are needed for those who need safe exercise.

Role of biomarkers in antimicrobial stewardship: physicians' perspectives

  • Hyeri Seok;Dae Won Park
    • The Korean journal of internal medicine
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    • v.39 no.3
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    • pp.413-429
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    • 2024
  • Biomarkers are playing an increasingly important role in antimicrobial stewardship. Their applications have included use in algorithms that evaluate suspected bacterial infections or provide guidance on when to start or stop antibiotic therapy, or when therapy should be repeated over a short period (6-12 h). Diseases in which biomarkers are used as complementary tools to determine the initiation of antibiotics include sepsis, lower respiratory tract infection (LRTI), COVID-19, acute heart failure, infectious endocarditis, acute coronary syndrome, and acute pancreatitis. In addition, cut-off values of biomarkers have been used to inform the decision to discontinue antibiotics for diseases such as sepsis, LRTI, and febrile neutropenia. The biomarkers used in antimicrobial stewardship include procalcitonin (PCT), C-reactive protein (CRP), presepsin, and interleukin (IL)-1β/IL-8. The cut-off values vary depending on the disease and study, with a range of 0.25-1.0 ng/mL for PCT and 8-50 mg/L for CRP. Biomarkers can complement clinical diagnosis, but further studies of microbiological biomarkers are needed to ensure appropriate antibiotic selection.

SVC-based Adaptive Video Streaming over Content-Centric Networking

  • Lee, Junghwan;Hwang, Jaehyun;Choi, Nakjung;Yoo, Chuck
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.10
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    • pp.2430-2447
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    • 2013
  • In recent years, HTTP adaptive streaming (HAS) has attracted considerable attention as the state-of-the-art technology for video transport. HAS dynamically adjusts the quality of video streaming according to the network bandwidth and device capability of users. Content-Centric Networking (CCN) has also emerged as a future Internet architecture, which is a novel communication paradigm that integrates content delivery as a native network primitive. These trends have led to the new research issue of harmonizing HAS with the in-network caching provided by CCN routers. Previous research has shown that the performance of HAS can be improved by using the H.264/SVC(scalable video codec) in the in-network caching environments. However, the previous study did not address the misbehavior that causes video freeze when overestimating the available network bandwidth, which is attributable to the high cache hit rate. Thus, we propose a new SVC-based adaptation algorithm that utilizes a drop timer. Our approach aims to stop the downloading of additional enhancement layers that are not cached in the local CCN routers in a timely manner, thereby preventing excessive consumption of the video buffer. We implemented our algorithm in the SVC-HAS client and deployed a testbed that could run Smooth-Streaming, which is one of the most popular HAS solutions, over CCNx, which is the reference implementation of CCN. Our experimental results showed that the proposed scheme (SLA) could avoid video freeze in an effective manner, but without reducing the high hit rate on the CCN routers or affecting the high video quality on the SVC-HAS client.

Meta-representation of Video Game through the Cross-media Storytelling: Focusing on the Animated Motion Picture Game Over (크로스미디어 스토리텔링을 통한 비디오 게임의 메타적 재현 : 애니메이션 <게임오버>를 중심으로)

  • Cho, Eun-Ha
    • Journal of Korea Game Society
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    • v.12 no.3
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    • pp.25-36
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    • 2012
  • Cross-Media Storytelling(CMS) is the new method of media representation. It picks the features and the elements in one media, and uses them in another media. 'Remediation' in digital era uses the content of old media in new form based on new technology. But 'CMS' represents the basic elements of the media experience in each unique style of media. It changes the focus from the technology to experience. So CMS is the new strategy of the media not based on the new technology. Adam PESapane's (2006) is a example for this strategy. It takes the game media as a subject matter. But it expresses the meta-representation of game experience in the "stop motion animation" Especially it emphasizes the narrative chain between the usual phenomenon and the visual imagination. And it shows the possibility of representation of new media experience in the old media genre. So it suggests the conditions of CMS.