• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.2
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• pp.338-343
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• 2006

This paper describes about the design concept and the architecture of an economic VPN system which can perform fast crypto operations with cheap cost. The essence of the proposed system architecture is consisting of the system with two companion chips dedicated to VPN: one chip is a multi-purpose network processor for security machine and the other is a crypto acceleration chip which encrypt and decrypt network packets in a high speed. This study also addresses about some realizations that is required for fast prototyping such as the porting of an operating system, the establishment of compiler tool chain, the implementation of device drivers and the design of IPSec security engine. Especially, the second chip supports the most time consuming block cipher algorithms including 3DES, AES, and SEED and its performance was evaluated.

• Information Systems Review
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• v.15 no.2
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• pp.59-73
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• 2013

Healthcare costs are continuously increasing due to longer life expectancy and providing global healthcare services through medical tourism is new service growth engine for Korea. Several countries have well established programs and infrastructure dedicated to medical tourism. South Korea is attempting to become a major player in this domain by undertaking broad initiatives. The success of medical tourism is greatly impacted by easy access to two types of information, namely, medical and travel information. The National Health Insurance System in Korea collects huge amount of clinical and financial information from all hospitals. However, this information does not get used effectively in health and travel information systems to support medical tourism. This paper provide clear process map of medical tourism to understand how the patient and information process both medical and tourism fields also describe the need of customer and service provider. In this paper, we develop a medical tourism service system that will promote information exchange and service delivery.

• Journal of Korea Spatial Information System Society
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• v.7 no.1 s.13
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• pp.53-62
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• 2005

A challenging task in the LBS system engineering is to implement a highly scalable system architecture which can manage moderate-size configurations handling thousands of moving items as well as upper-end configurations handling distributed computing system architecture that consists of multiple data processors, each dedicated to keeping records relevant to a different geographical zone and a different time zone. In this paper, we explain a prototype location data server structuring major components of GALIS by employing the TMO programming scheme, including the execution engine middleware developed to support real-time distributed object programming and real-time distributed computing system design. We present how to generate realistic location sensing reports and how to process such location reports and location-related queries. Some experimental results showing performance factors regarding distributed query processing are also explained.

• Journal of Platform Technology
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• v.6 no.2
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• pp.3-9
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• 2018

Recently VR environment is used in many areas including mobile learning, smart factory. However HMD(head-mounted display) is required to a dedicated and expensive system with high-end specification. When designing a VR system, it is needed to handle performance, mobility and usability. Many VR applications need to handle diverse sensors and user inputs continuously in a streaming manner. In this paper we design a VR mobile platform and implement a low-cost mobile VR HMD running on the platform. The VR HMD supports 3D contents delivery in a mobile manner. It is used to detect the motion detection based on angle value of a VR player from accelerator and gyro sensor. The MPU-6050, 6-axis sensor, is used to get a sensory value and the sensory value is taken as an input to a VR rendering server on a Unity game engine that is generated 3D images.

• Journal of Drive and Control
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• v.15 no.3
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• pp.14-20
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• 2018

Wet clutches in an automatic transmission enable the transmission of the engine power by the frictional torque experienced and noted between disk and plates. Since the clutch frictional torque considerably affects the shift quality of an automatic transmission as well as the durability of the machinery, its friction characteristics must be carefully examined to meet the design requirements. The SAE No. 2 friction test machine is a well-known standard to evaluate mainly the friction characteristics of plate clutches along with the required automatic transmission fluids. This paper reviews the experimental analysis of the wet clutch friction characteristics by using the exclusively developed clutch test machine which is capable of controlling the clutch test procedure, in accordance with the applicable test standard and processing of the experimental data automatically. As the clutch test machine is designed for the accommodation of dual clutches which is applied to the real transmission, it can evaluate not only the clutch friction characteristics, but also an actuation performance of a measured clutch piston. In respect to friction characteristics involving dynamic friction coefficients, the energy absorbed in a clutch disk and the recorded temperatures of clutch plates during braking actions and procedures are also investigated. Additionally, the change of friction coefficients by the use of the repeated clutch application is also observed with the endurance test functions of an accurately calibrated and dedicated clutch test machine.

• Safety and Health at Work
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• v.8 no.1
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• pp.29-35
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• 2017

Background: Despite our knowledge of the causes of cancer, millions of workers are involuntarily exposed to a wide range of known and suspected carcinogens in the workplace. To address this issue from a policy perspective, we developed a policy framework based on a prospective health policy analysis. Use of the framework was demonstrated for developing policies to prevent cancers associated with diesel engine exhaust (DEE), asbestos, and shift work, three occupational carcinogens with global reach and large cancer impact. Methods: An environmental scan of existing prospective health policy analyses was conducted to select and describe our framework parameters. These parameters were augmented by considerations unique to occupational cancer. Policy-related resources, predominantly from Canada, were used to demonstrate how the framework can be applied to cancers associated with DEE, asbestos, and shift work. Results: The parameters of the framework were: problem statement, context, jurisdictional evidence, primary prevention policy options, and key policy players and their attributes. Applying the framework to the three selected carcinogens illustrated multiple avenues for primary prevention, including establishing an occupational exposure limit for DEE, banning asbestos, and improving shift schedules. The framework emphasized the need for leadership by employers and government. Conclusion: To our knowledge, this is the first proposal for a comprehensive policy framework dedicated to the primary prevention of occupational cancer. The framework can be adapted and applied by key policy players in Canada and other countries as a guide of what parameters to consider when developing policies to protect workers' health.

• Journal of Advanced Navigation Technology
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• v.16 no.5
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• pp.864-870
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• 2012

Voice pattern recognition technology to solve the problems of the existing problems and common issues that you may have in language learning content analysis. This is the first problem of language-learning content, online learning posture. Game open another web page through the lesson, but the concentration of the students fell. Have not been able to determine the second issue according Speaking has made the learning process actually reads. Third got a problem with the mechanical process by a learning management system, as well by the teacher in the evaluation of students and students who are learning progress between the difference in the two. Finally, the biggest problem, while maintaining their existing content made to be able to solve the above problem. Speaking learning dedicated learning programs under this background, voice pattern recognition technology learning process for speech recognition and voice recognition capabilities for learning itself has been used in the recognition process the data of the learner's utterance as an audio file of the desired change to a transfer to a specific location of the server or SQL server may be easily inserted into any system or program, any and all applicable content that has already been created without damaging the entire component because the new features were available. Contributed to this paper, active participation in class more interactive teaching methods to change.

• Journal of Korea Game Society
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• v.6 no.4
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• pp.55-61
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• 2006

Graphics rendering pipeline (application, geometry, and rasterizer) is the core of real-time graphics which is the most important functionality for computer games. Usually this rendering process is completed by both the CPU and the GPU, and a bottleneck can be located either in the CPU or the GPU. This paper focuses on reducing the bottleneck between the CPU and the GPU. We are proposing a method for improving the performance of parallel processing for real-time graphics rendering by separating the CPU operations (usually performed using a thread) into two parts: pure CPU operations and operations related to the GPU, and let them operate in parallel. This allows for maximizing the parallelism in processing the communication between the CPU and the GPU. Some experiments lead us to confirm that our method proposed in this paper can allow for faster graphics rendering. In addition to our method of using a dedicated thread for GPU related operations, we are also proposing an algorithm for balancing the graphics pipeline using the idle time due to the bottleneck. We have implemented the two methods proposed in this paper in our networked 3D game engine and verified that our methods are effective in real systems.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.391-397
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• 2014

This paper is concerned with medical tourism, which is expected to become the new growth engine of the 21st century. Medical tourism is a collaborative and synergistic composition of Healthcare and Tourism, and has led to a remarkable growth in 2012 since the year 2009, exhibiting huge growth potential. This paper reviews the emerging market of the medical tourism with five major hospitals in Korea from the perspective of medical tourists, and makes suggestions for the global health care and the sustainable development in Korean medical tourism as a growth market: the construction of websites for active services and transparent management of medical expenses with proper arrangement of medical consulting and advices, cooperation of the health care center and the medical tourism industry, and the activation of healthcare communication. For the smooth progress of medical tourism, this paper suggests two separate communication channels: one for the patient tourists and the other for the medical tourism coordinators. The former needs accuracy with professional knowledge on the healthcare and communication, which should be classified as medical interpreters working with disease-oriented medical tourists. The latter refers to international medical coordinators dedicated to the smooth progress of medical tourism and services. This paper also points out the creative efforts to improve the relatively poor infrastructure of tourism industry to accommodate the medical tourists, and improve the medical tourism industry.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.223-229
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• 2018

Recently, the necessity of safety diagnosis of electrical devices has been increasing as the fire caused by electric devices has increased rapidly. This study is concerned with the safety diagnosis of electric equipment using intelligent Fuzzy technology. It is used as a diagnostic input for the multiple electrical safety factors such as the use current, cumulative use time, deterioration and arc characteristics inherent to the equipment. In order to extract these information in real time, a device composed of various sensor circuits, DSP signal processing, and communication circuit is implemented. The fuzzy logic algorithm using the Gaussian function for each information is designed and compiled to be implemented on a small DSP board. The fuzzy logic receives the four diagnostic information, deduces it by the fuzzy engine, and outputs the overall safety status of the device as a 100-step analog fuzzy value familiar to human sensibility. By experiments of a device that combines hardware and fuzzy algorithm implemented in this study, it is verified that it can be implemented in a small DSP board with human-friendly fuzzy value, diagnosing real-time safety conditions during operation of electric equipment. In the future, we expect to be able to study more intelligent diagnostic systems based on artificial intelligent with AI dedicated Micom.