• Education of Primary School Mathematics
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• v.20 no.1
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• pp.37-52
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• 2017

The purpose of this thesis is to analyze the current status of a program for an elementary math class for gifted students in Daegu and to propose a remedy. The main results of this thesis are as follows. First, goals of the gifted class and the basic operation direction were satisfactory, however plans for parent training programs and self evaluation of the classes were not presented. Therefore, it needs when and how to do for specific plan of gifted class evaluation and parent training programs. Second, The annual instruction plan has been restricted to the subject matter education and field trips and has not included specific teaching methods in accordance with the contents of learning program. The management of gifted classes, therefore, requires not only the subject matter education and field trips but also output presentations, leadership programs, voluntary activities, events and camps which promote the integral development of gifted students. Third, there is no duplication of content to another grade, and various activities did not cover the whole scope of math topics(eg. number and operation, geometry, measurement, pattern) equally. In accordance with elementary mathematics characteristics, teachers should equally distribute time in whole range of mathematics while they teach students in the class because it is critical to discover gifted students throughout the whole curriculum of elementary mathematics. Fourth, as there are insufficient support and operational lack of material development, several types of programs are not utilized and balanced. It is necessary for teachers to try to find the type of teaching methods in accordance with the circumstances and content, so that students can experience several types of programs. If through this study, we can improve the development, management and quality of gifted math programs, it would further the development of gifted education.

• Korean Security Journal
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• no.53
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• pp.187-208
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• 2017

The purpose of this study is to find the development of the general hospital security business plan based on the problem that guards are now aware of general hospital security service. To achieve the purpose of this study, the interview was conducted by interviewing interviews with nine field specialists who are currently engaged in the hospital for more than six years. The guard who perform general hospital security service proposed a development plan of general hospital security services as follows. First, the security guards at the General Hospital must complete a new education program suitable for the nature of the workplace. Second, the job training of the comprehensive hospital guard service is also needed to improve the quality of the program in accordance with the actual situation. Third, general hospital security guards should be provided with CS training, CPR and use of defibrillators, etc., and how to respond to infectious diseases. Fourth, there should be a detailed description of the extent to which aggregations and violent acts at the General Hospital should be addressed. Fifth, the Security Association needs to develop active programs for security guards and various efforts to improve the security of hospitals. Sixth, it is necessary to change the recognition of general hospital' security services, and the form of direct employment is required rather than the subcontract contract.

• Bulletin of the Korean Chemical Society
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• v.30 no.5
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• pp.1152-1156
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• 2009

Silent information regulator 2 (Sir2) or sirtuins are NAD(+)-dependent deacetylases, which hydrolyze the acetyllysine residues. In mammals, sirtuins are classified into seven different classes (SIRT1-7). SIRT1 was reported to be involved in age related disorders like obesity, metabolic syndrome, type II diabetes mellitus and Parkinson’s disease. Activation of SIRT1 is one of the promising approaches to treat these age related diseases. In this study, we have used HipHop module of CATALYST to identify a series of pharmacophore models to screen SIRT1 enhancing molecules. Three molecules from Sirtris Pharmaceuticals were selected as training set and 607 sirtuin activator molecules were used as test set. Five different hypotheses were developed and then validated using the training set and the test set. The results showed that the best pharmacophore model has four features, ring aromatic, positive ionization and two hydrogen-bond acceptors. The best hypothesis from our study, Hypo2, screened high number of active molecules from the test set. Thus, we suggest that this four feature pharmacophore model could be helpful to screen novel SIRT1 activator molecules. Hypo2-virtual screening against Maybridge database reveals seven molecules, which contains all the critical features. Moreover, two new scaffolds were identified from this study. These scaffolds may be a potent lead for the SIRT1 activation.

• The Journal of the Korean bone and joint tumor society
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• v.13 no.2
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• pp.75-80
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• 2007

Purpose: To investigate the quality of training hospital based treatment, we evaluated the soft tissue sarcoma treatments afforded by general orthopedic surgeon rather than orthopedic oncologist. Materials and Methods: We reviewed the details of 25 patients with pathologically confirmed soft tissue sarcoma who registered in our hospital between July 1997 and 2006 September. We evaluated initial diagnoses, the surgical treatment (including adjuvant therapy) and the follow up method used and related these to the principles of soft tissue sarcoma treatment. Results: The study cohort comprised 16 men and 9 women of mean age of 50.2 years. A diagnostic biopsy was performed in 9(36%) cases before definitive surgical treatment. Wide excision was performed in 13(52%) cases. For the 12 cases in which the grade of sarcoma was estimated, adequate surgical treatment with adjuvant therapy was performed only in 4(33.3%) cases. In addition, an adequate follow up schedule was adopted in only 4(16%) of the 25 study subjects. Conclusion: Unexpectedly, many cases of soft tissue sarcoma were treated inadequately even in a training hospital. An intensive education program on the treatment of soft tissue sarcoma is necessary for all orthopedic surgeons.

• Korean Journal of Social Welfare
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• v.56 no.3
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• pp.279-301
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• 2004

Relations of factors associated with burnout were investigated among 124 child protective service workers currently working in Korean Child Abuse Prevention Centers nationwide. Three categories of factors associated with burnout were examined; (1) individual characteristics, (2) job-related characteristics, and (3) job-satisfaction. Social survey method using questionnaires by mail was employed. MBI(Maslach Burnout Inventory) for measuring burnout, a part of Smith, Kendal & Hulin's JDI(Job Description Index) for job-satisfaction, and a scale measuring the special characteristics of job developed by researchers were used. Mann-Whitney test and Kruskal-Wallis test were employed to analyze the data. Across all burnout sub-scales(emotional depletion, dehumanization of clients, lack of feelings of achievement), subjects reported a high degree(above the cutting point) of burnout. Several factors were identified as associated with burnout. Child protective service workers who are young, single with front line worker status reported higher burnout. Lack of education and training before the job location were another factors which contributed to worker burnout. Lack of proper supervision stood out as another burnout provoking factor. Job-satisfaction was negatively correlated with all three burnout sub-scales, which meant the lower the job-satisfaction, the higher the burnout of service workers. The findings implicate that the administrators of Child Abuse Prevention Centers should pay close attention to their workers' sign of burnout and develop carefully designed support system which include provision of excellent supervision, proper education and training opportunities and organizational effort to strengthen employees' overall job-satisfaction to secure their quality of services toward abused children and their family.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.44 no.9
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• pp.796-805
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• 2016

As a part of the first stage in the helicopter flight simulator development, this study numerically evaluates handling qualities of the dynamics model. The flight dynamics model was generated using public information for AS365 N2, the target aircraft of the simulator. The flight simulator is under development as a pilot training and research tool for firefighting missions. The assessment of the model intends to validate general characteristics and suitability before the model is enhanced with flight test data. The evaluation is based on the ADS-33E-PRF(Aeroautical Design Standard Performance Specification Handling Qualities Requirement) criteria, with consideration of category of the aircraft, missions, and environment. The numerical operations follow required or recommended procedures of flight test for compliance demonstration. Evaluation results are evaluated according to the rating specified in maneuverability ADS-33E-PRF. Results have identified to provide a satisfactory platform for flight dynamic model in the general helicopter simulator generated based on the RotorLibFDM, and can be used as a base for basic training and research.

• The Transactions of the Korea Information Processing Society
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• v.4 no.10
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• pp.2615-2628
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• 1997

In this paper, a new codebook design algorithm is proposed. It uses a DCT map based on two-dimensional discrete cosine of transform (2D DCT) and finite state vector quantizer (FSVQ) when the vector quantizer is designed for image transmission. We make the map by dividing input image according to edge quantity, then by the map, the significant features of training image are extracted by using the 2D DCT. A master codebook of FSVQ is generated by partitioning the training set using binary tree based on tree-structure. The state codebook is constructed from the master codebook, and then the index of input image is searched at not master codebook but state codebook. And, because the coding of index is important part for high speed digital transmission, it converts fixed length codes to variable length codes in terms of entropy coding rule. The huffman coding assigns transmission codes to codes of codebook. This paper proposes single-side growing huffman tree to speed up huffman code generation process of huffman tree. Compared with the pairwise nearest neighbor (PNN) and classified VQ (CVQ) algorithm, about Einstein and Bridge image, the new algorithm shows better picture quality with 2.04 dB and 2.48 dB differences as to PNN, 1.75 dB and 0.99 dB differences as to CVQ respectively.

• Journal of the Health Care and Life Science
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• v.8 no.2
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• pp.83-93
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• 2020

In this study, a practical model for health information management education using the EMR education system at universities for nurturing health care information managers was studied. Currently, there is no practical training course for health care information management in the standards for evaluation and certification of health care information management education introduced to strengthen the job competency of health care information managers. Accordingly, the program was constructed so that the practice program suggested as an educational environment in the Health and Medical Information Management Education Evaluation and Certification Manual can be practiced in the EMR education system. In addition, a practical model that can be performed according to the on-site practice guidelines for health and medical information management for each program was studied. Using the health care information management education EMR system, master data management, patient registration, doctor prescription, medical cost calculation, health insurance claim management, form management, discharge registration, cancer registration, unrecorded management, health care data management, health care statistics, A practice model was studied so that practice on information protection/security management can be performed. It will be possible to play a role as a health care information management expert by raising the quality level of health care information management education through systematic and standardized health care information management practice courses at universities. Accordingly, it is necessary to cultivate health care information management experts who develop and manage medical services based on medical data analysis through practical training of health care information managers.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.12
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• pp.291-306
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• 2020

Nowadays, Data-Network-AI (DNA)-based intelligent services and applications have become a reality to provide a new dimension of services that improve the quality of life and productivity of businesses. Artificial intelligence (AI) can enhance the value of IoT data (data collected by IoT devices). The internet of things (IoT) promotes the learning and intelligence capability of AI. To extract insights from massive volume IoT data in real-time using deep learning, processing capability needs to happen in the IoT end devices where data is generated. However, deep learning requires a significant number of computational resources that may not be available at the IoT end devices. Such problems have been addressed by transporting bulks of data from the IoT end devices to the cloud datacenters for processing. But transferring IoT big data to the cloud incurs prohibitively high transmission delay and privacy issues which are a major concern. Edge computing, where distributed computing nodes are placed close to the IoT end devices, is a viable solution to meet the high computation and low-latency requirements and to preserve the privacy of users. This paper provides a comprehensive review of the current state of leveraging deep learning within edge computing to unleash the potential of IoT big data generated from IoT end devices. We believe that the revision will have a contribution to the development of DNA-based intelligent services and applications. It describes the different distributed training and inference architectures of deep learning models across multiple nodes of the edge computing platform. It also provides the different privacy-preserving approaches of deep learning on the edge computing environment and the various application domains where deep learning on the network edge can be useful. Finally, it discusses open issues and challenges leveraging deep learning within edge computing.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.96-106
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• 2020

To solve the limitation of traffic monitoring that occur from embedded sensor such as loop and piezo sensors, the thermal imaging camera was installed on the roadside. As the length of Class 1(passenger car) is getting longer, it is becoming difficult to classify from Class 3(2-axle truck) by using an embedded sensor. The collected images were labeled to generate training data. A total of 17,536 vehicle images (640x480 pixels) training data were produced. CNN (Convolutional Neural Network) was used to achieve vehicle classification based on thermal image. Based on the limited data volume and quality, a classification accuracy of 97.7% was achieved. It shows the possibility of traffic monitoring system based on AI. If more learning data is collected in the future, 12-class classification will be possible. Also, AI-based traffic monitoring will be able to classify not only 12-class, but also new various class such as eco-friendly vehicles, vehicle in violation, motorcycles, etc. Which can be used as statistical data for national policy, research, and industry.