• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.5
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• pp.1670-1676
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• 2010

It is easy to reproduce and manipulate the digital contents. It's difficult to distinguish the original contents with a pirate one. A digital signature scheme is used to protect the contents author's ownership and to provide secure contents distribution. Generally, the digital contents is completed with many authors' help. It's necessary to apply a cryptographic method for protecting co-authors' rights and interests. In this paper, the biometric based convertible undeniable multi-signature scheme is proposed. In the proposed scheme, keys are generated by using a signer's biometric data. Consigning the private key to another signer is infeasible. Signers must participate in signature generation and verification stages. Our scheme also provides signature conversion protocol in which the undeniable signature is converted to the ordinary one. For applications, we show how the proposed scheme is used to protect co-authors' rights and to distribute the contents securely.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.20-25
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• 2019

Most multimedia signals contain image data, so the problem of efficient processing and transmitting the image data is an important task of the information society. This paper proposes a compression algorithm that reduces the color bits according to importance using YUV color space among the various methods of compressing image data. 4: 2: 2 subsampling is the standard in the field of video. Using the color information and the characteristics of the human retina, YUV color data was reduced by 4: 2: 2 subsampling. The YUV images and RGB images can be interconverted using the transformation matrix. The image data was converted into color space by YUV, and the relatively low U and V bits were subjected to a downscaling operation. The data was then compressed through 4: 2: 2 subsampling. The performance of the proposed algorithm was compared and analyzed by a comparison with existing methods. As a result of the analysis, it was possible to compress the image without reducing the information of the low importance color element and without significant deterioration in the quality compared to the original.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.389-399
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• 2016

This study examined the status of studies on exercise interventions for middle-aged women with chronic low back pain that had been conducted over the past 10 years (2005-2014) in Korea. The existing reports were searched electronically using the database of RISS, National Assembly Library, KISS, and DBpia with the key words of middle-aged women, chronic low back pain, exercise, and exercise program. Finally, 12 articles were included in the review. One article was from nursing science, and 11 were from other disciplines. In a qualitative evaluation on the papers, 1 study scored 8 out of 10 points, 8 studies scored between 5-6 points, and 3 studies scored 3-4 points. Intervention sessions were conducted for 55 minutes, on average, each at a frequency of 3.1 sessions per week, for a total of 29.7 sessions. This study found that lumbar neuromuscular exercise, yoga exercise, and aquatic exercise were effective in rehabilitation in middle-aged women with chronic low back pain. In the future, these findings are expected to be used in nursing intervention for the establishment of the basis for evidence-based nursing practice.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.285-291
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• 2020

In manufacturing, humans are being replaced with robots, but expert skills remain difficult to convert to data, making them difficult to apply to industrial robots. One method is by visual motion recognition, but physical features may be judged differently depending on the image data. This study aimed to improve the accuracy of vision methods for estimating the posture of humans. Three OpenPose vision models were applied: MPII, COCO, and COCO+foot. To identify the effects of face-covering accessories and image preprocessing on the Convolutional Neural Network (CNN) structure, the presence/non-presence of accessories, image size, and filtering were set as the parameters affecting the identification of a human's posture. For each parameter, image data were applied to the three models, and the errors between the actual and predicted values, as well as the percentage correct keypoints (PCK), were calculated. The COCO+foot model showed the lowest sensitivity to all three parameters. A <50% (from 3024×4032 to 1512×2016 pixels) reduction in image size was considered acceptable. Emboss filtering, in combination with MPII, provided the best results (reduced error of <60 pixels).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.734-740
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• 2017

A frame rate up-conversion scheme is needed when moving pictures with a low frame rate is played on appliances with a high frame rate. Frame rate up-conversion methods interpolate the frame with two consecutive frames of the original source. This can be divided into the frame repetition method and motion estimation-based the frame interpolation one. Frame repetition has very low complexity, but it can yield jerky artifacts. The interpolation method based on a motion estimation and compensation can be divided into pixel or block interpolation methods. In the case of pixel interpolation, the interpolated frame was classified into four areas, which were interpolated using different methods. The block interpolation method has relatively low complexity, but it can yield blocking artifacts. The proposed method is the frame rate up-conversion method based on a block motion estimation and compensation using the linearity of motion. This method uses two previous frames and one next frame for motion estimation and compensation. The simulation results show that the proposed algorithm effectively enhances the objective quality, particularly in a high resolution image. In addition, the proposed method has similar or higher subjective quality than other conventional approaches.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.391-404
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• 2018

The purpose of this study was to determine the status of interventional studies to prevent falling in elderly with dementia and to determine the contents and effectiveness of intervention programs to prevent falling. Existing reports published between January 1, 2000 and December 31, 2016 were searched electronically using the RISS, National Library, KISS, PubMed, and CINAHL database with the keywords dementia, Alzheimer's or Alzheimer's disease, falling, and prevention of falling. After checking the original sources of the articles, 13 articles were included in the review. Therapeutic interventions used in the articles included exercise therapy (8, 61.5%), physiotherapy and occupational therapy (2, 15.4%), complementary therapies (2, 15.4%), and music therapy (1, 7.7%). As a result of the qualitative evaluation of the papers using a checklist of the Scottish Intercollegiate Guideline Network, two studies scored 9 out of 10 points, five studies scored 8 out of 10, and six studies scored 7 out of 10. Intervention sessions were conducted for 55 minutes, on average, for a total of 37 sessions. This study found that exercise, music therapy, physical and occupational therapy, and rhythmic motion therapy were effective in preventing falling in the elderly with dementia. In the future, these findings are expected to be used as a basis for the development of a preventive intervention program for nurses in a clinical setting.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.43-50
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• 2019

Block-chain enjoys technical advantages such as "robust security," owing to the structural characteristic that forgery is impossible, decentralization through sharing the ledger between participants, and the hyper-connectivity connecting Internet of Things, robots, and Artificial Intelligence. As a result, public organizations have highly positive attitudes toward the adoption of technology using block-chain, and the design of university information services is no exception. Universities are also considering the application of block-chain technology to foundations that implement various information services within a university. Through case studies of block-chain applications across various industries, this study designs an empirical model of an integrated information service platform that integrates information systems in a university. A basic road map of university information services is constructed based on block-chain technology, from planning to the actual service design stage. Furthermore, an actual empirical model of an integrated information service in a university is designed based on block-chain by applying this framework.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.166-181
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• 2018

The aim of this review was to determine the status of acupuncture therapies in reducing obesity in obese patients and to determine the scheme and effectiveness of acupuncture therapies. Existing reports published between January 1, 2003 and December 31, 2017 in Kiss, Riss, National Assembly Library, Pubmed and CINAHL databases were searched electronically with the keywords obesity, acupuncture, auricular acupuncture, and electroacupuncture. After checking the original sources of the articles, 19 articles were included in the review. In a qualitative evaluation of the papers using a checklist from the Scottish Intercollegiate Guideline Network, one study scored 9 out of 10 points, 15 studies scored 7-8 out of 10 points, two studies scored 6 out of 10 points, and one study scored 3 out of 10 points. In the acupuncture therapy schemes, acupoints to reduce obesity included shemen, hunger, LI-11 (Quchi), LI-4 (Hegu), St-25 (Tianshu) and St-44 (Neiting). Acupuncture therapies were conducted for an average of 16.9 total sessions. In the studies that involved 20-day or 72-day duration for acupuncture therapies, the frequency of acupuncture therapies was 1 time/1-2 days. In the studies that involved 4- to 18-week duration for acupuncture therapies, the frequency of acupuncture therapies was 1-3 times/week. This study found acupuncture therapies were effective in reducing obesity, and acupuncture therapies reduced anthropometry, blood glucose and lipids and changed blood hormones. In the future, there is an urgent need for well-planned studies of the effectiveness of acupuncture therapies for reducing obesity in obese patients.