• Journal of Society of Preventive Korean Medicine
• /
• v.14 no.2
• /
• pp.43-56
• /
• 2010

Objectives : This study aimed to investigate the attitude of healthcare consumers toward the East-West Collaborative Medical Practices(hereafter EWCMP). Method : The participants were 245 healthcare consumers who visited outpatient clinic of an university hospital, and attended at an emergency rescue educational program held by an emergency medical center, Busan. Data were collected by interviewing or self-reporting with questionnaires and analyzed with descriptive statistics and $X^2$ test with SPSS win 14.0. Results : 53.1 percent of 245 participants has heard, 13.9 percent has ever used, and 82.4 percent wanted to use EWCMP in the future. For participants who has used EWCMP, the decision to use it was made by themselves(58.8%), 26.5% of them was satisfied with EWCMP, and 79.4% showed the intention to introduce EWCMP to others. The use of EWCMP was significantly different by gender($X^2$=4.702, p=0.030) and having job or not($X^2$=14.305, p<0.001). Preferred type of EWCMP was to use both medical and Korean medical treatment at the same time(42.4%). Musculoskeletal disease(51.0%) and circulatory disease(51.0%) were expected to be the most effective when the EWCMP applied to them. Utilization of EWCMP was expected to be effective in disease treatment(88.2%), diagnosis(83.3%), and prevention(75.1%), and to increase medical cost(66.1%). Intention to use of EWCMP was not significantly different by demographic characteristics. Conclusion : Considering low proportion of utilization of and positive attitude toward the EWCMP among general populations, it is needed to introduce or advertise EWCMP to them.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.34 no.6 s.119
• /
• pp.66-77
• /
• 2007

This study intends to analyze urban peoples' leisure choice attributes of rural areas from a rural demand perspective. For this purpose, this study investigates regional attributes considered in decision making processes for rural tourism destinations of urban residents using a conjoint model as a stated preference model. Based on literature reviews, two questionnaire surveys were conducted. The first questionnaire survey was performed in 4 cities including Seoul, Daejeon, Suwon and Chuncheon with 408 urban residents. The Second questionnaire survey was performed in 5 cities including Seoul, Chuncheon, Daejeon, Jeonju and Busan with about 1,060 urban residents. The study results suggest that the most important attribute in selecting rural ares for tourism are activity programs and convenience of facility, according to part-worth and vector model. The fitness level of model is 0.986, which is very significant. Among the 5 attribute's levels, the rural residents' kindness, the traditional and the ecological programs and the facilities about sign and lodging are more critical factors than other levels. Utilities of each levels decreases as cost and arrival time increases. Regarding the result of market segmentations, respondents having intention to visit can be divided into 4 group; (1) facility or program oriented type, (2) resident's kindness oriented type, (3) arrival time oriented type, and (4) negatively participant type. The results of leisure choice attributes can provide insightful information for regional planning strategies, such as selection of the type of market segments and the key factor of facility and space planning.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.5
• /
• pp.1005-1012
• /
• 2016

LED beacons operated on an isolated marine area are mostly employing the solar power supply system, and this system is well known for increasing the cost of management and maintenance. Recently, a number of researches and demonstrations on self-contained LED beacon is actively conducted to solve this issue. In this work, we propose an self-contained LED beacon with Bluetooth Low Energy function for an effective management of LED beacon. Firstly, control program structure is designed by expanding the status protocol of self-contained LED beacon, and then it is implemented into the form which administrator can easily understand. The control system visualizes the status and control data of self-contained LED beacon, and this enables the rapid decision-making of administrator. Also, minimizing electricity consumption of the beacon, it can transfer and update the status or light information of self-contained LED beacons with smart phone.

• Journal of KIISE:Software and Applications
• /
• v.31 no.1
• /
• pp.20-28
• /
• 2004

Estimation of software project cost, effort, and duration in the early stage of software development cycle is a difficult and key problem in software engineering. Most of development effort and duration estimation models presented by regression model of simple relation function point vs. effort and effort vs. duration instead of considering developer's productivity. But different project have need for different effort according to developer's productivity if the projects are same software size. Also, different duration takes according to developer's productivity if the projects require the same effort. Therefore, models that take into account of productivity have a limited application in actual development project. This paper presents models that can be estimate the duration according to productivity in order to compensate a shortcoming of the previous models. Propose model that could presume development period by various methods based on productivity and compared models' performance. As a result of performance comparison, an estimating model of development period from software size got simple and most good result. The model gives decision-making information of development duration to project management in the early stage of software life cycle.

• Transactions of the KSME C: Technology and Education
• /
• v.1 no.1
• /
• pp.139-145
• /
• 2013

Light rail transit(LRT) is a public transportation and mainly has an automatic driverless operation system. LRT project is a large scaled project which a construction cost is tens of billions of won per km. Systems engineering(SE) is an interdisciplinary approach and means to enable realization of successful systems. In this paper, we propose the systems engineering processes and their outputs list for the LRT project. And then, we present template and sample case of process output. We also present a case which carried out SE process by SE tool.

• Journal of Preventive Medicine and Public Health
• /
• v.39 no.5
• /
• pp.433-437
• /
• 2006

Objectives: The aim of this study is to develop a methodology for estimating a nationwide statistic for hernia operations with using the claim database of the Korea Health Insurance Cooperation (KHIC). Methods: According to the insurance claim procedures, the claim database was divided into the electronic data interchange database (EDI_DB) and the sheet database (Paper_DB). Although the EDI_DB has operation and management codes showing the facts and kinds of operations, the Paper_DB doesn't. Using the hernia matched management code in the EDI_DB, the cases of hernia surgery were extracted. For drawing the potential cases from the Paper_DB, which doesn't have the code, the predictive model was developed using the data mining technique called SEMMA. The claim sheets of the cases that showed a predictive probability of an operation over the threshold, as was decided by the ROC curve, were identified in order to get the positive predictive value as an index of usefulness for the predictive model. Results: Of the claim databases in 2004, 14,386 cases had hernia related management codes with using the EDI system. For fitting the models with applying the data mining technique, logistic regression was chosen rather than the neural network method or the decision tree method. From the Paper_DB, 1,019 cases were extracted as potential cases. Direct review of the sheets of the extracted cases showed that the positive predictive value was 95.3%. Conclusions: The results suggested that applying the data mining technique to the claim database in the KHIC for estimating the nationwide surgical statistics would be useful from the aspect of execution and cost-effectiveness.

• Journal of Environmental Impact Assessment
• /
• v.25 no.6
• /
• pp.466-476
• /
• 2016

Dredging is inevitably necessary for the management of water infrastructure such as waterways and polluted bottom sediment. Dredged material management options may be offshore dumping, wetland creation, beach nourishment and various other engineering uses depending on the given circumstances at the time of dredging. Among those options, wetland creation and beach nourishment are the preferred ones in Korea considering significant loss of wetland and beach erosion due to various development projects along the coastal region. In order to use dredged material beneficially, however, dredged material needs to be assessed its suitability with respect to its engineering purpose and environmental criteria. In this paper, we demonstrate that environmental risk of dredged material to be introduced into the marine environment can be easily assessed using biomarkers with relative low cost. Biomarkers can also compliment pollutant contents analysis that may not be specific to their impact on biological response. Biomarker information may be used to assist decision making process in selecting suitable treatment or beneficial use options for dredged materials.

• Journal of Biomedical Engineering Research
• /
• v.28 no.3
• /
• pp.429-440
• /
• 2007

A coded excitation has been studied to improve the performance for ultrasound imaging in term of SNR, imaging frame rate, contrast to tissue ratio, and so forth. However, it requires a complicated arbitrary waveform transmitter for each active channel that is typically composed of a multi-bit Digital-to-Analog Converter (DAC) and a linear power amplifier (LPA). Not only does the LPA increase the cost and size of a transmitter block, but it consumes much power, increasing the system complexity further and causing a heating-up problem. This paper proposes an optimized 1.5bit fourth order sigma-delta modulation technique applicable to design an efficient arbitrary waveform generator with greatly reduced power dissipation and hardware. The proposed SDM can provide a required SQNR with a low over-sampling ratio of 4. To this end, the loop coefficients are optimized to minimize the quantization noise power in signal band while maintaining system stability. In addition, the decision level for the 1.5 bit quantizer is optimized for a given input waveform, which results in the SQNR improvement of more than 5dB. Computer simulation results show that the SQNR of a FM(frequency modulated) signal generated by using the proposed method is about 26dB, and the peak side-lobe level (PSL) of its compressed waveform on receive is -48dB.

• Journal of the Korean Society of Fisheries and Ocean Technology
• /
• v.45 no.2
• /
• pp.106-113
• /
• 2009

For the safety and cost reduction in the navigation, the automatic and intelligent system has been developed for the vessel, and the most important factor in the system is to decide the collision risk exactly. In this paper, we propose an advanced collision risk decision system for collision avoidance of the system. The conventional researches using DCPA and TCPA for calculating the collision risk have a problem to produce a same collision risk regardless of bearings for the ships, if they are located in the same distance from own ship. To solve this problem, in addition to DCPA and TCPA, we introduce the factor of VCD(variation of compass degree) and constant, CR which derived from COLREG'72(International Regulation for Preventing Collision at Sea, 1972) for evaluating the collision risk including even the burden of own ship navigator due to the encountering angle of each vessels. We decided the collision risk legally by the rule considering the relative situation of vessels. And therefore, the proposed system has two advantages, of which one is to produce more detail collision risk and another is to reflect the real underway situation in conformity with the rule.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.38 no.3
• /
• pp.51-70
• /
• 2013

This paper develops a model to predict the adoption and level of usage of network technology in a two-level supply chain with buyer-supplier relationships. A firm's adoption of a new technology depends not only on its own beliefs of the new technology's costs and benefits, but also on the adoption decisions of other firms in the supply chain. A model first analyzes an individual supplier's decision about a new technology adoption considering with multiple suppliers and buyers. Individual suppliers' decisions are aggregated with a population model to project how new technology diffuses across the supply chain and examine the pattern of diffusion process. This study found that as more firms adopt in initial periods, the total amount of information to the potential adopters in the population increases, and then the number of firms persuaded by the information increases as the process moves up the distribution of adoption process. We consider three factors influencing the diffusion speed of the new technology in a supply chain network : mean benefits, cost sharing, and information provision. This study examines how such factors affect the reduction of threshold levels, which implies that reductions in threshold levels have an aggregate effect by accelerating the rate of adoption. In particular, we explore relationship factors available in practice in a buyer-supplier relationship and numerically examines how these relationship factors contribute to increase the diffusion speed of the technology in a two-level supply chain.