• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.1-30
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• 2024

The purpose of this study is to develop a diagnostic tool to strengthen the reading competencies of children and adolescents with disabilities, analyze its validity and reliability, and present basic data for the development of a diagnostic program. For this study, it was conducted on literature and case studies, the Delphi Method, and a preliminary survey of actual disabled children/adolescents. As a result of the study, there were limitations in validity and reliability analysis due to the small number of samples, but basic data was secured along with the development of a prototype diagnostic tool for the reading ability of children and adolescents with disabilities. It was proposed to develop the future reading competency diagnostic program by expanding it to the web and mobile platforms, considering various variables such as the characteristics of each disability type, a plan for data collection and utilization through big data, diagnostic procedures, and precautions during the diagnosis.

• Imaging Science in Dentistry
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• v.41 no.2
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• pp.53-57
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• 2011

Purpose : The purpose of this study was to evaluate the diagnostic performance of dental students in detection of mandibular condyle fractures and the effectiveness of reference panoramic images. Materials and Methods : Forty-six undergraduates evaluated 25 panoramic radiographs for condylar fractures and the data were analyzed through receiver operating characteristic (ROC) analysis. After a month, they were divided into two homogeneous groups based on the first results and re-evaluated the images with (group A) or without (group B) reference images. Eight reference images included indications showing either typical condylar fractures or anatomic structures which could be confused with fractures. Paired t-test was used for statistical analysis of the difference between the first and the second evaluations for each group, and student�fs t-test was used between the two groups in the second evaluation. The intra- and inter-observer agreements were evaluated with Kappa statistics. Results : Intra- and inter-observer agreements were substantial (k=0.66) and moderate (k=0.53), respectively. The area under the ROC curve (Az) in the first evaluation was 0.802. In the second evaluation, it was increased to 0.823 for group A and 0.814 for group B. The difference between the first and second evaluations for group A was statistically significant (p<0.05), however there was no statistically significant difference between the two groups in the second evaluation. Conclusion : Providing reference images to less experienced clinicians would be a good way to improve the diagnostic ability in detecting condylar fracture.

• Journal of Acupuncture Research
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• v.15 no.2
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• pp.199-209
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• 1998

We compared and studied the results on two diagnostic machines called Yangdorack and EAV on 18 recovering paralytic patients. The results were as folIows ; 1. Patients with weak motor ability showed an average of 25% fewer units of Yangdorack and an average of 49% fewer units of EAV. 2. Deficiency/excess diagnostic results on meridian and internal organs showed 58.5% deficiency and 41.5% excess on the Yangdorack ; 67.9% of decline-degenerative activity and 32.1% of stimulus-inflarrunation activity on the EAV. 3. In the attack of meridian and internal organs in view of the five elements(五行), in rate of deficiency, decline and degeneration of the fire meridian(火經) in view of the highest rate accounts showed 19.5% on the Yangdorack and 20.4% on the EAV. 4. In comparing deficiency/excess results on the Yangdorack with results of decline-degenerative value and stimulus-inflammation value on the EAV, they both showes a 39% rate. 5. In comparing clinical syndromes on the Yangdorack and common diseases on the EAV, they showed a 72% agreement.

• Transactions of the Korean Society of Mechanical Engineers
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• v.18 no.2
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• pp.323-338
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• 1994

This paper outlines a framework for performing intelligent sensor validation for a diagnostic expert system while reasoning under uncertainty. The emphasis is on the algorithmic preprocess technique. A companion paper focusses on heuristic post-processing. Sensor validation plays a vital role in the ability of the overall system to correctly detemine the state of a plant monitored by imperfect sensors. Especially, several theoretical developments were made in understanding uncertain sensory data in statistical aspect. Uncertain information in sensory values is represented through probability assignments on three discrete states, "high", "normal", and "low", and additional sensor confidence measures in Algorithmic Sv.Upper and lower warning limits are generated from the historical learning sets, which represents the borderlines for heat rate degradation generated in the Algorithmic SV initiates a historic data base for better reference in future use. All the information generated in the Algorithmic SV initiate a session to differentiate the sensor fault from the process fault and to make an inference on the system performance. This framework for a diagnostic expert system with sensor validation and reasonig under uncertainty applies in HEATXPRT$^{TM}$, a data-driven on-line expert system for diagnosing heat rate degradation problems in fossil power plants.

• Korean Journal of Veterinary Research
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• v.49 no.1
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• pp.39-44
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• 2009

Transmission of avian viruses both bird-to-bird and from birds to non-avian species is a major health concern. Newcastle disease virus (NDV) is an economically important avian virus that poses substantial risks to the poultry industry. Rapid and sensitive diagnostic methods, such as the enzymelinked immunosorbent assay (ELISA), are required to track such infections. To develop an ELISA for detecting anti-NDV antibody in avian sera, the nucleocapsid protein (NCP) gene of the NDV La Sota strain was cloned and expressed in Escherichia coli and the 513-amino acid recombinant NCP was purified by Ni-NTA affinity chromatography. To evaluate its ability to replace NDV whole virus antigen as a coating antigen, NCP-coated and whole NDV-coated ELISAs were tested and compared using a panel of NDV positive antisera from chickens. Results using purified NCP were highly correlated with those obtained using whole NDV (r= 0.927), demonstrating that recombinant NCP expressed in Escherichia coli is a suitable substitute antigen for whole NDV in a diagnostic ELISA.

• Journal of radiological science and technology
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• v.42 no.5
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• pp.365-371
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• 2019

We have developed and applied a diagnostic Multi-Leaf Collimator (MLC) to optimized the X-ray field in medical imaging and the usefulness evaluated through the fusion of infrared image and X-ray image acquired by infrared camera. The hand and skull radiography with multi-leaf collimator(MLC) showed significant area dose reductions of 22.9% and 31.3% compared to ARC and leakage dose was compliant with KS A 4732. Also scattering doses of 50 cm and 100 cm showed a significant decrease to confirm the usefulness of MLC. It was confirmed that the fusion of infrared images with an adjustable degree of transparency was possible in the X-ray images. Therefore, fusion of anatomical information with physiological convergence is expected to contribute and improvement of diagnostic ability. In addition, the feasibility of convergence X-ray imaging and DITI devices and the possibility of driving MLC with infrared images were confirmed.

• Tuberculosis and Respiratory Diseases
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• v.58 no.2
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• pp.111-119
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• 2005

The introduction of high-resolution CT (HRCT) in recent years has improved the ability of radiologists to detect and characterize the diffuse infiltrative lung disease (DILD). The detection and diagnosis of diffuse lung disease using HRCT are based on the recognition of specific abnormal findings. In this article, pattern recognition of HRCT findings is reviewed in the differential diagnosis of diffuse infiltrative lung disease. In general, HRCT findings of lung disease can be classified into four categories based on their appearances. These categories consist of (1) nodules and nodular opacities, (2) linear and reticular opacities, (3) increased lung opacity, and (4) decreased lung opacity, including cystic lesions.

• Speech Sciences
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• v.12 no.3
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• pp.7-17
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• 2005

This study aimed at investigating the validity and reliability of the Daegu Diagnostic Aphasia Examination (DDAE). The DDAE has been developed to assess aphasics' receptive and expressive language ability. One hundred and forty eight aphasics (96 males and 52 females) diagnosed as aphasics participated in this study. Reliability coefficients showed that the DDAE was highly consistent and accurate (Cronbach's a = .76$\sim$.82). For its' content-validity, a 5-point scale was administered. Four speech and language pathologists served as evaluator. The receptive language mean score was 4.29, the expressive language mean score was 4.09, and the right-hemisphere function mean score was 4.00. For construct validity, the correlation total scores were calculated. The results showed a significant correlation.

• Journal of the Korea Institute of Military Science and Technology
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• v.6 no.4
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• pp.147-158
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• 2003

The prediction of wind field is very important fact in the radioactive and chemical warfare. In spite of advanced numerical weather prediction modelling and computing technology, the high resolution prediction of wind field is limited by the very high integration costs. In this study we coupled the mesoscale numerical model and microscale diagnostic numerical model with minimized integration costs. This coupled model has not only the ability of prediction of high resolution wind field including complex building but also microscale pollutant diffusion fields. For military operation this system can help making a practical and cost-effective decision in a battle field.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.6079-6097
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• 2018

Safety-related systems (SRSs) has widely used in shipbuilding and power generation to prevent fatal accidents and to protect life and property. Thus, SRS performance is a high priority. The safety integrity level (SIL) is the relative performance level of an SRS with regard to its ability to operate reliably in a safe manner. In this article, we proposed an optimal design procedure to achieve the targeted SIL of SRSs. In addition, a more efficient failure mode and effects diagnostic analysis (FMEDA) process and optimization model were developed to improve cost efficiency. Based on previous IEC 61508 diagnostic analyses that revealed unnecessary costs associated with excessive reliability, the new approach consists of two phases: (i) SIL evaluation by FMEDA, and (ii) solution optimization for achieving the target SIL with minimal cost using integer-programming models. The proposed procedure meets the required safety level and minimizes system costs. A case study involving a gas-detection SRS was conducted to demonstrate the effectiveness of the new procedure.