• Smart Structures and Systems
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• v.4 no.6
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• pp.779-794
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• 2008

Observer-based fault detection and isolation (FDI) filter design method is a model-based method. By carefully choosing the observer gain, the residual outputs can be projected onto different independent subspaces. Each subspace corresponds to the monitored structural element so that the projected residual will be nonzero when the associated structural element is damaged and zero when there is no damage. The key point of detection filter design is how to find an appropriate observer gain. This problem can be interpreted in a geometric framework and is found to be equivalent to the problem of finding a decentralized static output feedback gain. But, it is still a challenging task to find the decentralized controller by either analytical or numerical methods because its solution set is, generally, non-convex. In this paper, the concept of detection filter and iterative LMI technique for decentralized controller design are combined to develop an algorithm to compute the observer gain. It can be used to monitor structural element state: healthy or damaged. The simulation results show that the developed method can successfully identify structural damages.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.3
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• pp.141-148
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• 2012

Food policy is considered as the most basic and central issue for all countries, while making efforts to keep each country's food sovereignty and enhance food self-sufficiency. In the case of Korea where the staple food is rice, the rice yield prediction is regarded as a very important task to cope with unstable food supply at a national level. In this study, Korean paddy Rice yield Prediction Model (KRPM) developed to predict the paddy rice yield using meteorological element and MODIS NDVI. A multiple linear regression analysis was carried out by using the NDVI extracted from satellite image. Six meteorological elements include average temperature; maximum temperature; minimum temperature; rainfall; accumulated rainfall and duration of sunshine. Concerning the evaluation for the applicability of the KRPM, the accuracy assessment was carried out through correlation analysis between predicted and provided data by the National Statistical Office of paddy rice yield in 2011. The 2011 predicted yield of paddy rice by KRPM was 505 kg/10a at whole country level and 487 kg/10a by agroclimatic zones using stepwise regression while the predicted value by KOrea Statistical Information Service was 532 kg/10a. The characteristics of changes in paddy rice yield according to NDVI and other meteorological elements were well reflected by the KRPM.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.7
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• pp.131-139
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• 2013

To overcome the limitations in performance and power consumption of traditional electrical interconnection based network-on-chips (NoCs), a hybrid optical network-on-chip (HONoC) architecture using optical interconnects is emerging. However, the HONoC architecture should use circuit-switching scheme owing to the overhead by optical devices, which worsens the latency unfairness problem caused by frequent path collisions. This resultingly exert a bad influence in overall performance of the system. In this paper, we propose a new task mapping algorithm for optimizing latency by reducing path collisions. The proposed algorithm allocates a task to a certain processing element (PE) for the purpose of minimizing path collisions and worst case latencies. Compared to the random mapping technique and the bandwidth-constrained mapping technique, simulation results show the reduction in latency by 43% and 61% in average for each $4{\times}4$ and $8{\times}8$ mesh topology, respectively.

• The Journal of Korean Academy of Sensory Integration
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• v.15 no.2
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• pp.1-21
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• 2017

Objective : The aims of the this study is to identify job characteristics, to generate job description, and additionally to investigate duty task of the job for Korean pediatric occupational therapist focused on sensory integration intervention. Methods : In the first stage, job analysis of pediatric occupational therapist focused on sensory integration intervention was performed by an advisory committee consist of the DACUM panel. Through the job analysis, job description with definition was established. In the second stage, a survey was performed for 141 pediatric occupational therapist using a questionnaire based on the job description in order to investigate importance, frequency and difficulty of duty task and task elements of the job. This process was done from May to September 2017. Results : The job definition drew from this study was 'Pediatric occupational therapist provides occupational therapy services to children and adolescents to support occupational performance and social participation including daily activities and play". Through the job description established in this study, 9 duties (consulting, evaluation, intervention plan, intervention, document, education, self-development, management, and administration), 28 tasks and 169 task elements were drew. In the survey, among the duty tasks and task elements, 'ensure physical safety' and 'perform a session' were selected as the most important task, and 'ensure safety of children, sensory integrative equipment and environment' and 'prepare a safe environment' were selected as the most important element. Conclusion : This study defined job demands and characteristics of pediatric occupational therapist who performs sensory integration intervention. It is expected that this study can be used a resource to develop and/or improve educational program related.

• Journal of the Korean Dietetic Association
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• v.7 no.1
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• pp.117-124
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• 2001

This study was conducted as a part of project developing the standards of the national board test for dietitian's licences. The purpose of this study was to define the job specification for dietitian's job description based on the knowledge, skill, attitude and related to the curriculum. The study team established the research team which composed of 11 person(7 professor in the university and 4 dietitians in hospitals, schools and private firms). The job description composed of 17 duties, 99 tasks and 576 task elements. For each element, the job specifications are written, which composed of introduction, process, required equipments, and required ability. Required ability included knowledge, skill and attitudes. The relations of the knowledge, skill and attitudes with the possible curriculum currently operated in the college or university were analyzed, also. Job specifications for 576 task elements are analyzed and framed.

• Journal of Korean Elementary Science Education
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• v.34 no.1
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• pp.142-152
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• 2015

The purpose of this study was to identify the differences in eye movement pattern shown in shown in classification process between the scientifically gifted and general students in elementary schools. The subjects for the research consisted of 16 gifted students in special education center for the gifted at Seoul National University of Education and 22 general students at G elementary schools. The tasks consisted of four hierarchical biology classification tasks and one non-hierarchical tasks. SMI's Eye Tracker (iView $X^{TM}$ RED) was used to collect eye movement data while the Begaze software analyzed the task performing process and eye movements. The findings of this study were twofold. First, there was a significant difference in students' fixation duration by students' academic achievement level. Gifted students spent little time on scanning details and found the features successfully. Second, the process of the classification is different by students' academic achievement. General students spent more time to gaze the salient features not relevant features. They had a difficulty to find the element to classify.

• The Journal of Korean Physical Therapy
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• v.18 no.4
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• pp.1-9
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• 2006

Recently, several investigations revealed that after unilateral brain damage, movement abnormalities were exposed on the ipsilateral side as well as the upper extremity contralateral to the damaged hemisphere. Even the motor abilities had significantly recovered from ipsilateral motor deficits on not only simple sensoriomotor function, also clinical assessments since subacute stage, although could not completely returned. Such motor deficits were detected in a diversity of motor tasks depending on the interhemispheric specialization, further in clinical evaluation and a daily of activities. In the clinical features, muscular weakness, sensory loss and impaired manual dexterity were observed. In a laboratory experiment, there were increasing evidences that the kinematic processing deficits was founded in various-specific motor tasks, which ranged from simple basic element to complex tasks, such as tapping task, step-tracking, goal directional aiming task, and iso(and non-)directional interlimb coordination. In the point of view, the manifest understanding in related to ipsilateral deficits provide the clinicians with an important information for scientific management about brain injured patient's prognosis and therapeutic guidelines.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.65 no.4
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• pp.309-315
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• 2016

NCS is the nation-wide standard designed to standardize and systematize the capability(knowledge, technology and attitude) required for personnel to undertake their task in industrial site according to industry field and level of the task. In order to cope with rapidly changing labor market, individual has to be equipped with ability required for each relevant duty field. And company also requires worker to have basic working ability, professional knowledge or technical capability for relevant duty. Especially, the core competency, a fundamental element for all tasks, has been recognized as critical part not just in social level but also in company level. In that sense, the necessity of adding the core competence into regular education program has been vastly demanded. This study mainly deals with development of NCS-based learning module for information capability that most of industrial field want their employee to be equipped as basic skill. And, in particular, education achievement analysis for computer application capability, a subordinate capabilities of information capability, and its application method are mainly described.

• The Korean Journal of Food And Nutrition
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• v.22 no.1
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• pp.123-131
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• 2009

The purpose of this study was to define the job description for food safety specialist, and to describe the duties and tasks of the job based on the detailed analysis of specific food safety work performed by dietitians. The job analysis was 8 professional panels and a Developing A Curriculum(DACUM) facilitator. The research was done in order to fully define the task element, process, and sequence of a food specialist and was completed by DACUM analysis. The job definition of food safety specialist is one who manages food safety through analysis, safety evaluation, inspection, and hazard blocking in all processes related to the purchase, distribution, storage, manufacture, and marketing of foods and food materials. The job description on the DACUM research chart for food safety specialist contained 7 duties and 79 tasks. Its duties were defined as the specific and independent work of a food safety specialist, and were composed of 7 duties, i.e. hazard analysis of foods and related affairs, safety evaluation of purchased food materials, safety management of food/food materials distribution/storage, safety management of food manufacture, safety examination of food marketing, administration affairs on food safety, and self-development. For the future, this study suggests a curriculum, that shall be basis of program planning and food safety operation for subjects within many schools.

• Journal of Internet Computing and Services
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• v.1 no.1
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• pp.63-72
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• 2000

Data mining means a process of nontrivial extraction of hidden knowledge or potentially useful information from data in large databases. Data mining algorithm is a multi-disciplinary field of research; machine learning, statistics, and computer science all make a contribution. Different classification schemes can be used to categorize data mining methods based on the kinds of tasks to be implemented and the kinds of application classes to be utilized, and classification has been identified as an important task in the emerging field of data mining. Since classification is the basic element of human's way of thinking, it is a well-studied problem in a wide varietyof application. In this paper, we propose a classifier system based on genetic algorithm with robust property, and the proposed system is evaluated by applying it to nDmC problem related to classification task in data mining.