• The KIPS Transactions:PartD
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• v.10D no.6
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• pp.1059-1066
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• 2003

In this paper, the magnetic sensing system is designed and implemented for the safe security in internet commerce system. When the payment is required inthe internet commerce system, the magnetic sensing system will get the information from a credit card without keyboard input and then encrypt and transmit the information to server. The credit card sensing system, which is proposed in this paper, is safe from keyboard hacking because it encrypts card information immediately in its internal chip and sends the information to host system. For the protection of information, the magnetic sensing system is basically based on a synchronous stream cipher cryptosystem which is related to a group of matrices. The size of matrices and the bits of keys for the best performances are determined for various cases. It is shown that for credit card payments. matrices of size 2 have good performance even at most 128bits keys with the consideration of inverse matrices. For authentication of general-purpose data, the magnetic sensing system needs more than 1.5KB data and in this case, the optimum size of matrices is 2 or 3 at more 256bits keys with consideration of inverse matrices.

• Imaging Science in Dentistry
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• v.39 no.3
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• pp.149-156
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• 2009

Purpose : The purpose of this study was to develop a stent-based image guided surgery system and to apply it to oral and maxillofacial surgeries for anatomically complex sites. Materials and Methods : We devised a patient-specific stent for patient-to-image registration and navigation. Three-dimensional positions of the reference probe and the tool probe were tracked by an optical camera system and the relative position of the handpiece drill tip to the reference probe was monitored continuously on the monitor of a PC. Using 8 landmarks for measuring accuracy, the spatial discrepancy between CT image coordinate and physical coordinate was calculated for testing the normality. Results : The accuracy over 8 anatomical landmarks showed an overall mean of $0.56{\pm}0.16\;mm$. The developed system was applied to a surgery for a vertical alveolar bone augmentation in right mandibular posterior area and possible interior alveolar nerve injury case of an impacted third molar. The developed system provided continuous monitoring of invisible anatomical structures during operation and 3D information for operation sites. The clinical challenge showed sufficient accuracy and availability of anatomically complex operation sites. Conclusion : The developed system showed sufficient accuracy and availability in oral and maxillofacial surgeries for anatomically complex sites.

• Korean Journal of Occupational Health Nursing
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• v.8 no.2
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• pp.130-140
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• 1999

The purpose of this study was to identify health promoting behaviors(HPBs) and the related determinants affecting to women workers health based on the New Health Promotion Model by Pender(1996). Data were collected by self-reported questionnaires from 208 women workers at the 8 electronic manufacturing factories under the permission of data collection and cooperation with health managers in the factories during the period from September to October 1999. For data analysis. Descriptive statistics, ANOVA, Pearson's correlation and Stepwise multiple regression with SPSS/PC+7.5 version were used. The results were as follows : 1. The average score for the HPBs, consisted of 6 subdimensions was 2.05. The highest mean score was 2.29 in 'Spiritual growth' and the lowest one was 1.66 in 'Physical activity'. 2. No significant difference between general charateristics and HPBs were found. 3. HPBs were positively related to 'Prior related behavior'(r=0.369, p<0.1), 'Perceived self-efficacy'(r=0.340, p<.01), 'Activity-related affect'(r=0.252, p<.01). 'Social support'(r=0.350, p<.01). 'Commitment to a plan action'(r=0.374, p<.01). There was no significant correlation between perceived health status, perceived barriers to action and HPBs. 4. The most important variable in HPBs was 'Commitment to a plan action'. It was explained 14.0% out of the total variance of HPBs. 'Commitment to a plan action', 'Prior related behavior', 'Social support', 'Self-efficacy' and 'Perceived barriers to action' explained 23.0%. According to the results of this study, the suggestions were as follows: 1. It is necessary to develop program for improving the physical activity and health responsibility of women workers at the manufacturing industry. 2. To facilitate and maintain HPBs of women workers, nurses may enhance and plan mutually interactive active HPBs with women workers. 3. Social support at the level of individual workers, supervisors, and the organization is required in order to conduct health promotion program at the factories. 4. Significantly related variables to HIPBs should be identified the direct and indirect paths among them further more.

• The Transactions of the Korea Information Processing Society
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• v.5 no.12
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• pp.3275-3284
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• 1998

In this paper, we deseribe a Medical Image Information System. Our system stores and manages 5 dimensional medical image data and provides the 3 dimensional medical data via the Internet. The Internet standard VR format. VRML(Virtual Reality Modeling Language) is used to represent the 3I) medical image data. The 3D images are reconstructed from medical image data which are enerated by medical imaging systems such ans CT(Computerized Tomography). MRI(Magnetic Resonance Imaging). PET(Positron Emission Tomograph), SPECT(Single Photon Emission Compated Tomography). We implemented the medical image information system shich rses a surface-based rendering method for the econstruction of 3D images from 2D medical image data. In order to reduce the size of image files to be transfered via the Internet. The system can reduce more than 50% for the triangles which represent the surfaces of the generated 3D medical images. When we compress the 3D image file, the size of the file can be redued more than 80%. The users can promptly retrieve 3D medical image data through the Internet and view the 3D medical images without a graphical acceleration card, because the images are represented in VRML. The image data are generated by various types of medical imaging systems such as CT, MRI, PET, and SPECT. Our system can display those different types of medical images in the 2D and the 3D formats. The patient information and the diagnostic information are also provided by the system. The system can be used to implement the "Tele medicaine" systems.

• The KIPS Transactions:PartC
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• v.19C no.2
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• pp.135-144
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• 2012

All the servers in a traditional server cluster environment are kept On. If the request load reaches to the maximum, we exploit its maximum possible performance, otherwise, we exploit only some portion of maximum possible performance so that the efficiency of server power consumption becomes low. We can improve the efficiency of power consumption by controlling power mode of servers according to load situation, that is, by making On only minimum number of servers needed to handle current load while making Off the remaining servers. In the existing power mode control method, they used a static policy to decide server power mode at a fixed time interval so that it cannot adapt well to the dynamically changing load situation. In order to improve the existing method, we propose a dynamic server power control algorithm. In the proposed method, we keep the history of server power consumption and, based on it, predict whether power consumption increases in the near future. Based on this prediction, we dynamically change the time interval to decide server power mode. We performed experiments with a cluster of 30 PCs. Experimental results show that our proposed method keeps the same performance while reducing 29% of power consumption compared to the existing method. In addition, our proposed method allows to increase the average CPU utilization by 66%.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.8
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• pp.507-516
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• 2013

Mobile devices have limited computing power and resources. Since mobile devices are equipped with rich network connectivity, an approach to subscribe cloud services can effectively remedy the problem, which is called Mobile Cloud Computing (MCC). Most works on MCC depend on a method to offload functional components at runtime. However, these works only consider the limited verion of offloading to a pre-defined, designated node. Moveover, there is the limitation of managing services subscribed by applications. To provide a comprehensive and practical solution for MCC, in this paper, we propose a self-stabilizing process and its management-related methods. The proposed process is based on an autonomic computing paradigm and works with diverse quality remedy actions such as migration or replicating services. And, we devise a pratical offloading mechanism which is still in an initial stage of the study. The proposed offloading mechanism is based on our proposed MCC meta-model. By adopting the self-stabilization process for MCC, many of the technical issues are effectively resolved, and mobile cloud environments can maintain consistent levels of quality in autonomous manner.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.4
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• pp.483-488
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• 2015

This paper implements a long-term monitoring system (LMS) for ship's engine performance analysis (SEPA) based on the web, for the purpose of the communication speed and engine maintenance. This system is composed of a simulator, monitoring module with a multi channel A/D converter, monitoring computer, network attached storage (NAS), RS485 serial and wireless internet communication system. The existing products monitor the information transmitted from pressure sensors installed in the upper parts of each of engines in the local or web computer, but have a delay in the communication speed and errors in long-term monitoring due to the large volume of sampling pressure data. To improve these problems, the monitoring computer saves the sampling pressure data received from the pressure sensors in NAS, monitors the long-term sampling data generated by the sectional down sampling method on a local computer, and transmits them to the web for long-term monitoring. Because this method has one tenth of the original sampling data, it will use memory with small capacity, save communication cost, monitor the long-term sampling data for 30 days, and as a result, make a great contribution to engine maintenance.

• Journal of Sasang Constitutional Medicine
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• v.8 no.2
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• pp.239-255
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• 1996

The study was conducted for the purpose of finding out an objective classification method for the Sasang Constitutional medicine, which divides people into 4 groups of constitution and presents comprehensively physiology, pathology, diagnosis, theraphy and recuperation fit to each constitution. Questionnaire of Sasang Constitution collected during 9 months from March 1995 to November 1995. For the purposes of this study, the collected data were analyzed by crosstabs, variation analysis, discrimination analysis. The analyzing program was SPSS PC+V4.0. The results were as follows : 1. QSCC consists of the authorized questions studied by te oriental medicine specialists based on "four groups" given the diagnosis of Sasang Constitution Classification and variation analysis by scores of body constitution. 2. When human's body constitution is classified on the basis of QSCC scores of body constitutions and classified by the absolute size, group cases correctly classified was So-Yang-In 17.3%, Tae-Em-In 26.4%, So-Em-In 74.2%, Tae-Yang-In 100%. However, the number of examples are rare. Average percent of "group" cases correctly classified was 39.3%. 3. When human's body constitution is classified on the basis of QSCC scores of body constitutions and clasified by the relative size, group cases correctly classified was So-Yang-In 40.5%, Tae-Em-In 29.1%, So-Em-In 49.2%, Tae-Yang-In 100%. However, the number of examples are rare. Average percent of "group" cases correctly classified was 39.6%. 4. If the diagnosis of body constitution applies to the people after discrimination formula applies to them before the scores of body constitution is correctly analyzed, group cases correctly classified was So-Yang-in 50.5%, Tae-Em-In 36.9%, So-Em-In 55.9%, Tae-Yang-In 100%. However, the number of examples are rare. Average percent of "group" cases correctly classified was 44.03%. 5. As discrimination formula is applied and analyzed based on the questions of higher percent of reaction freqency, So-Yang-in 61.4%, Tae-Em-In 48.8%, So-Em-In 62.0%. Average percent of group cases correctly classified was 54.91% and it was percent increased compared to chance probability. 6. Therefore, it comes to the conclusion if we utilize QSCC, we are able to predict Sasang Constitution.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.49 no.4
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• pp.17-22
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• 2012

Convolution filtering methods have been widely applied to various digital signal processing fields for image blurring, sharpening, edge detection, and noise reduction, etc. According to their application purpose, the filter mask size or shape and the mask value are selected in advance, and the designed filter is applied to input image for the convolution processing. In this paper, we proposed an image processing acceleration method for the convolution processing by using two-dimensional Look-up table (LUT) and overlap-region buffering technique. First, based on the fixed convolution mask value, the multiplication operation between 8 or 10 bit pixel values of the input image and the filter mask values is performed a priori, and the results memorized in LUT are referred during the convolution process. Second, based on symmetric structural characteristics of the convolution filters, inherent duplicated operation region is analysed, and the saved operation results in one step before in the predefined memory buffer is recalled and reused in current operation step. Through this buffering, unnecessary repeated filter operation on the same regions is minimized in sequential manner. As the proposed algorithms minimize the computational amount needed for the convolution operation, they work well under the operation environments utilizing embedded systems with limited computational resources or the environments of utilizing general personnel computers. A series of experiments under various situations verifies the effectiveness and usefulness of the proposed methods.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.1
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• pp.75-83
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• 2008

We propose a welfare interface using multiple fecial features tracking, which can efficiently implement various mouse operations. The proposed system consist of five modules: face detection, eye detection, mouth detection, facial feature tracking, and mouse control. The facial region is first obtained using skin-color model and connected-component analysis(CCs). Thereafter the eye regions are localized using neutral network(NN)-based texture classifier that discriminates the facial region into eye class and non-eye class, and then mouth region is localized using edge detector. Once eye and mouth regions are localized they are continuously and correctly tracking by mean-shift algorithm and template matching, respectively. Based on the tracking results, mouse operations such as movement or click are implemented. To assess the validity of the proposed system, it was applied to the interface system for web browser and was tested on a group of 25 users. The results show that our system have the accuracy of 99% and process more than 21 frame/sec on PC for the $320{\times}240$ size input image, as such it can supply a user-friendly and convenient access to a computer in real-time operation.