• Journal of agricultural medicine and community health
• /
• v.28 no.1
• /
• pp.1-13
• /
• 2003

Objectives: The purpose of this study is to summarize results from 11 domestic studies about sick role behavior applied health belief model and to assess the effectiveness of components on behavior change by using meta-analysis. Methods: We collected the existing literatures by using major web search of 'pulmonary tuberculosis patients', 'health belief model', and 'sick role behavior' as key words and by reviewing content of journals. Quantitative meta-analysis was performed by SAS program. Results: Among 66 articles, 11 studies were selected for quantitative meta-analysis. The knowledge level about pulmonary tuberculosis had more effect for only sick role behavior as general characterisitcs(d=0.7870). All the components of health belief model produced significant effects on sick role behavior with the magnitude of effect size from 0.31 to 0.73. The largest effects were benefits on actions of sick role behavior. Conclusions: Overall, these investigation provide very substantial empirical evidence supporting health belief model dimensions as important contributors to the explanation and prediction of sick role behavior among the type of health related behavior in pulmonary tuberculosis patients. Strategic intervention including health education, etc. based on health belief model showed clear advantage in improvement of behavioral change.

• The Korean Journal of Archival Studies
• /
• no.26
• /
• pp.103-149
• /
• 2010

Documentation strategy has been experimented in various subject areas and local regions since late 1980's when it was proposed as archival appraisal and selection methods by archival communities in the United States. Though it was criticized to be too ideal, it needs to shed new light on the potentialities of the strategy for documenting local regions in digital environment. The purpose of this study is to analyse the implementation issues of documentation strategy and to suggest the directions for documenting local regions of Korea through the application of the strategy. The documentation strategy which was developed more than twenty years ago in mostly western countries gives us some implications for documenting local regions even in current digital environments. They are as follows; Firstly, documentation strategy can enhance the value of archivists as well as archives in local regions because archivist should be active shaper of history rather than passive receiver of archives according to the strategy. It can also be a solution for overcoming poor conditions of local archives management in Korea. Secondly, the strategy can encourage cooperation between collecting institutions including museums, libraries, archives, cultural centers, history institutions, etc. in each local region. In the networked environment the cooperation can be achieved more effectively than in traditional environment where the heavy workload of cooperative institutions is needed. Thirdly, the strategy can facilitate solidarity of various groups in local region. According to the analysis of the strategy projects, it is essential to collect their knowledge, passion, and enthusiasm of related groups to effectively implement the strategy. It can also provide a methodology for minor groups of society to document their memories. This study suggests the directions of documenting local regions in consideration of current archival infrastructure of Korean as follows; Firstly, very selective and intensive documentation should be pursued rather than comprehensive one for documenting local regions. Though it is a very political problem to decide what subject has priority for documentation, interests of local community members as well as professional groups should be considered in the decision-making process seriously. Secondly, it is effective to plan integrated representation of local history in the distributed custody of local archives. It would be desirable to implement archival gateway for integrated search and representation of local archives regardless of the location of archives. Thirdly, it is necessary to try digital documentation using Web 2.0 technologies. Documentation strategy as the methodology of selecting and acquiring archives can not avoid subjectivity and prejudices of appraiser completely. To mitigate the problems, open documentation system should be prepared for reflecting different interests of different groups. Fourth, it is desirable to apply a conspectus model used in cooperative collection management of libraries to document local regions digitally. Conspectus can show existing documentation strength and future documentation intensity for each participating institution. Using this, documentation level of each subject area can be set up cooperatively and effectively in the local regions.

• Journal of the Korea Computer Graphics Society
• /
• v.22 no.3
• /
• pp.21-29
• /
• 2016

Cell segmentation is an important but time-consuming and laborious task in biological image analysis. An automated, robust, and fast method is required to overcome such burdensome processes. These needs are, however, challenging due to various cell shapes, intensity, and incomplete boundaries. A precise cell segmentation will allow to making a pathological diagnosis of tissue samples. A vast body of literature exists on cell segmentation in microscopy images [1]. The majority of existing work is based on input images and predefined feature models only - for example, using a deformable model to extract edge boundaries in the image. Only a handful of recent methods employ data-driven approaches, such as supervised learning. In this paper, we propose a novel data-driven cell segmentation algorithm for bright-field microscopy images. The proposed method minimizes an energy formula defined by two dictionaries - one is for input images and the other is for their manual segmentation results - and a common sparse code, which aims to find the pixel-level classification by deploying the learned dictionaries on new images. In contrast to deformable models, we do not need to know a prior knowledge of objects. We also employed convolutional sparse coding and Alternating Direction of Multiplier Method (ADMM) for fast dictionary learning and energy minimization. Unlike an existing method [1], our method trains both dictionaries concurrently, and is implemented using the GPU device for faster performance.

• Therapeutic Science for Rehabilitation
• /
• v.9 no.2
• /
• pp.55-71
• /
• 2020

Objective : The purpose of this study was to investigate the necessity of occupational therapist's involvement in patient discharge planning, the areas that should be considered for discharge screening and planning, and to provide the basic data required for the development of a discharge assessment tool. Methods : We conducted an online questionnaire survey of 60 occupational therapists who were working at medical institutions and had agreed to participate in the study. The questionnaire was composed of 36 questions regarding the general characteristics of the current discharge planning process and the necessity of discharge assessment and planning. Descriptive statistics, an independent t-test, and a one-way ANOVA were conducted using SPSS 20.0. As for the post-hoc test, Scheffe's test was used. Results : The awareness of occupational therapist's role in discharge planning and the necessity of a discharge assessment tool were high, but the occupational therapist's awareness of discharge-related knowledge was low. The difficulties in discharge planning showed high response rate in the absence of adequate fee-for-service in the patient interview and assessment and the lack of team approach and appropriate assessment tools for discharge planning. The high-needs areas for evaluation during discharge were fall risk and BADL, and the low-needs areas were well-being and functional level prior to onset. Conclusion : This study is expected to provide preliminary information necessary for the development of a discharge assessment tool for effective discharge planning.

• Journal of Korean Society of Transportation
• /
• v.20 no.1
• /
• pp.55-63
• /
• 2002

It has been known well that Traffic Conflict Technique(TCT) used to evaluate the safety of intersections in the case of shortage of traffic accidents data and surveying time. Because data for using in traffic conflict technique that is collected by trained surveyors, it is rely on the knowledge, experience and the characteristics of them. The data of surveying generate varying result. So, its variance must minimize and then it is considered of calculating in traffic conflict technique however obviously technique to minimize has not developed until now. So, this paper has a focus on the technical method to minimize the variance. For this, it applied the fuzzy reasoning theory to the existed traffic conflict technique that is the most comprehensive method in the country and then developed the new traffic conflict technique model. Fuzzy reasoning theory is a very appropriate method for minimizing the variance among surveyors because it can systematically calculate the uncertainty of surveyors by approximation reasoning structure. The result of analysis from pilot study, the new Procedure in this Paper minimized the variance by 53 Percentiles and it increased the value of conversion factor two times than the exited traffic conflict technique. The method proposed in this paper, it can be used for evaluating the safety of intersection, and before and after analysis of improving Project of black spots.

• Journal of KIISE:Software and Applications
• /
• v.30 no.9
• /
• pp.876-884
• /
• 2003

It is essential to identify both the pupil and iris boundaries for iris recognition. The circular edge detector proposed by Daugman is the most common and powerful method for the iris region extraction. The method is accurate but requires lots of computational time since it is based on the exhaustive search. Some heuristic methods have been proposed to reduce the computational time, but they are not as accurate as that of Daugman. In this paper, we propose a pupil and iris boundary finding algorithm which is faster than and as accurate as that of Daugman. The proposed algorithm searches the boundaries using the Daugman's circular edge detector, but reduces the search region using the problem domain knowledge. In order to find the pupil boundary, the search region is restricted in the maximum and minimum bounding circles in which the pupil resides. The bounding circles are obtained from the binarized pupil image. Two iris boundary points are obtained from the horizontal line passing through the center of the pupil region obtained above. These initial boundary points, together with the pupil point comprise two bounding circles. The iris boundary is searched in this bounding circles. Experiments show that the proposed algorithm is faster than that of Daugman and more accurate than the conventional heuristic methods.

• Journal of KIISE:Software and Applications
• /
• v.31 no.3
• /
• pp.317-331
• /
• 2004

Recently software agent has been studied as a new abstraction unit of software engineering. The agent with autonomous, adaptability and cooperation attribute is accepted as a new abstraction unit especially in distributed systems, open systems, and complex systems. However, the progress of agent research has been slow and the realization of agent programming language seems to be far distant. Because the properties of agent are diverse, the opinions of researchers can not converge to one. In this situation, software agent framework is accepted more realistic alternative solution. However the knowledge for its development doesn't have been shared among developers. So they often have to make same errors. We will help sharing of knowledge and experience by using pattern language which has been used in object technology for long times. This paper proposes a reactive agent framework pattern language and validates it based on ATAM［l］ The increase of such indirect experience can reduce the waste of resource by preventing the same try and error. So agent framework developers are able to concentrate on more essential issues. Finally quality of software agent framework will be increased.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.11 no.1
• /
• pp.27-38
• /
• 2009

The multi-level profile system is designed to measure the vertical profile of $H_2O$ and $CO_2$ concentrations in the surface layer to estimate the storage effects within the plant canopy. It is suitable for long-term experiments and can be used also in advection studies for estimating the spatial variability and vertical gradients in concentration. It enables the user to calculate vertical fluxes of water vapor, $CO_2$ and other trace gases using the surface layer similarity theory and to infer their sources or sinks. The profile system described in this report includes the following components: sampling system, calibration and flow control system, closed path infrared gas analyzer(IRGA), vacuum pump and a datalogger. The sampling system draws air from 8 inlets into the IRGA in a sequence, so that for 80 seconds air from all levels is measured. The calibration system, controlled by the datalogger, compensates for any deviations in the calibration of the IRGA by using gas sources with known concentrations. The datalogger switches the corresponding valves, measures the linearized voltages from the IRGA, calculates the concentrations for each monitoring level, performs statistical analysis and stores the final data. All critical components are mounted in an environmental enclosure and can operate with little maintenance over long periods of time. This report, as a practical manual, is designed to provide helpful information for those who are interested in using profile system to measure evapotranspiration and net ecosystem exchanges in complex terrain.

• Safe Food
• /
• v.3 no.1
• /
• pp.13-21
• /
• 2008

우리나라 학교급식의 현재 성적표를 "양적 성공, 질적 실패"로 평가할 수 있다. 2003년 학교급식이 국가적 교육사업이 되어서 초 중 고 특수학교에서 전면급식이 이루어지고 10,343개교에서 704만명의 학생에게 급식을 제공하고 있다. 현재는 양질의 학교급식을 안전하고 저렴하게 공급하고, 국가식량정책과 연계하여 효율적으로 관리하여야 할 시기이다. 그러나 학교급식 소요경비 연 2조3천억원, 영양사 7,196명 등 63,145명이 종사하는 거대한 산업군이라는 규모에도 불구하고 전체 학교의 70%만이 식당시설을 갖추고 있고 급식 만족도가 학생이나 학부모의 기대에 미치지 못하고 있으며, 식중독 발생의 원흉이 되어 국민적 질책의 대상이 되고 있는 것이 현실이다. 이 문제는 1) 영양사 업무과중에 따른 시간부족, 영양사 지식정보 부족 등에 따른 식재료 및 위생관리 소홀, 2) 냉장, 냉동, 오염/비 오염 구획 등에 필요한 시설과 설비 부족, 3) 교육인적자원부의 급식위생관리의 전문성 부족과 담당 인력 및 정책적, 재정적 지원 부족을 원인으로 볼 수 있다. 학교급식 안전대책은 아래 20대 과제를 추진하여 확보하여야 할 것이다. 전략 1은 "우수한 식재료 위생관리"로서 "급식비 인상 및 현실화, 철저한 수입 농수축산물관리, 식재료 공급 및 전처리업 자유업에서 신고제, 허가제로 전환, GAP(우수농산물관리) 제도 도입, 생산이력제도(traceability) 도입, 급식원료 "품질인증 제도" 도입, 식품원료 전처리 시 세척, 소독프로그램 보급, 학교급식 식자재기준, 규격 설정, 과학적이고 쉬운 검수지침 개발 및 보급, 신속검사키트를 활용한 주기적인 미생물 검사 의무화, 위생 전문가에 의한 검수, 식재료별로 분산된 법령과 관리제도 정비(식품안전기본법), 급식식자재 공급 유통 과정의 감시 감독 강화" 등 13개 과제를 제안한다. 전략 2는 "급식위생 확보 인프라구측"으로서 "급식종사자 전문성 확보(조리/영양/위생), 급식전담기구(학교급식진흥원 /학교급식센터 등) 설치, 급식형태 다양화(위탁/직영 균형 발전), 학교급식법 재개정, 학교급식 HACCF제도 확대" 등 4개 과제를 제안한다. 전략 3은 "급식소 시설 설비 현대화 및 환경개선"으로서 "급식시설 설비 현대화 (전처리실, 냉장고, 온장고 구비 등), 급식소 환경 개선 (상수 사용 확대 및 안전강화, 지하수 소독 강화, 정화된 공기 공급 등)" 등 2개 과제를 제안한다. 전략4는 "급식위생제도 및 관리체계 개선"으로서 "전문적 단일기관 안전관리 (식품안전처)" 과제를 제안한다.

• Korean Journal of Cognitive Science
• /
• v.21 no.2
• /
• pp.309-338
• /
• 2010

In this paper, we studied the brain-computer interface (BCI). BCIs help severely disabled people to control external devices by analyzing their brain signals evoked from motor imageries. The findings in the field of neurophysiology revealed that the power of $\beta$(14-26 Hz) and $\mu$(8-12 Hz) rhythms decreases or increases in synchrony of the underlying neuronal populations in the sensorymotor cortex when people imagine the movement of their body parts. These are called Event-Related Desynchronization / Synchronization (ERD/ERS), respectively. We implemented a BCI-based mouse interface system which enabled subjects to control a computer mouse cursor into four different directions (e.g., up, down, left, and right) by analyzing brain signal patterns online. Tongue, foot, left-hand, and right-hand motor imageries were utilized to stimulate a human brain. We used a non-invasive EEG which records brain's spontaneous electrical activity over a short period of time by placing electrodes on the scalp. Because of the nature of the EEG signals, i.e., low amplitude and vulnerability to artifacts and noise, it is hard to analyze and classify brain signals measured by EEG directly. In order to overcome these obstacles, we applied statistical machine-learning techniques. We could achieve high performance in the classification of four motor imageries by employing Common Spatial Pattern (CSP) and Linear Discriminant Analysis (LDA) which transformed input EEG signals into a new coordinate system making the variances among different motor imagery signals maximized for easy classification. From the inspection of the topographies of the results, we could also confirm ERD/ERS appeared at different brain areas for different motor imageries showing the correspondence with the anatomical and neurophysiological knowledge.