• Journal of The Korean Society of Agricultural Engineers
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• v.47 no.2
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• pp.25-32
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• 2005

In evaluation of public works, its components related with benefit and cost in feasibility analysis can be classified to quantative and qualitative elements, To evaluate qualitative components which can not be calculated by numerical value, several methods are used to assess relative importance. AHP (Analytic Hierarchy Process) is representative method which can evaluate importance, but it has difficulties in organization of expert group, execution of question, and subjective decision of questioner. Information measure technique can be used to evaluate these qualitative importance of environmental and social components in public works planning. In result of comparing importances of AHP and information measure technique, it has statistical significance in of road project.

• Journal of the Korea Society of Computer and Information
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• v.21 no.10
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• pp.183-190
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• 2016

In this paper, we have looked at through core competences and contents of Informatics curriculum in middle school by expert questionnaire and Focus Group Interview(FGI). Among nine core competences of Informatics subject in curriculum, abstraction and automation were easily found, but creative harmony and cooperation were indirectly confirmed in the statements of teaching and assessment sections of Informatics curriculum in middle school. It was also identified that some core competency elements are redundant or hardly to found in the contents of Informatics curriculum. In addition, various opinions about Informatics curriculum have been put forward over the FGI. The results of this study will be the case that can be consulted on new revised Informatics curriculum to be developed further.

• Journal of information and communication convergence engineering
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• v.16 no.3
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• pp.189-196
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• 2018

Player's actions in a game occur in the process of gameplay experiences in a play space designed by the developer according to preset gameplay beats. Focusing on beats that induce a first-person shooter (FPS) game's main gameplay, this paper analyzes the differences in eye gaze information found in different players during the course of gameplay. For this research goal, the study divides the beat areas in which play actions appear in association with gameplay beats at a typical FPS game level, repeatedly conducts tests in accordance with a player's experience level (novice and expert group), and collects and analyzes eye gaze information data in three types of beat areas. The analysis result suggests concrete guidelines for game level design for different beat areas based on an FPS game player's experience level. This empirical experiment method and result can lessen repetitive modification work for game level design and consequently be utilized for optimizing the game level to the developer's intention.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.1
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• pp.41-47
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• 2015

In recent years, energy supply cases to take advantage of EMS(Energy Management System) are increasing according to high interest of energy efficiency. The important factor for essential and economical EMS operation is the supply and demand plan the hourly power demand of building load using the hierarchical clustering method of variety statistical techniques, and use the real historical data of target load. Also the estimated results of study are obtained the reliability through separate tests of validity.

• Nuclear Engineering and Technology
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• v.49 no.6
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• pp.1226-1233
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• 2017

Measurements of the isotopic contents of spent nuclear fuel provide experimental data that are a prerequisite for validating computer codes and nuclear data for many spent fuel applications. Under the auspices of the Organisation for Economic Co-operation and Development (OECD) Nuclear Energy Agency (NEA) and guidance of the Expert Group on Assay Data of Spent Nuclear Fuel of the NEA Working Party on Nuclear Criticality Safety, a new database of expanded spent fuel isotopic compositions has been compiled. The database, Spent Fuel Compositions (SFCOMPO) 2.0, includes measured data for more than 750 fuel samples acquired from 44 different reactors and representing eight different reactor technologies. Measurements for more than 90 isotopes are included. This new database provides data essential for establishing the reliability of code systems for inventory predictions, but it also has broader potential application to nuclear data evaluation. The database, together with adjoint based sensitivity and uncertainty tools for transmutation systems developed to quantify the importance of nuclear data on nuclide concentrations, are described.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.11a
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• pp.217-218
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• 2022

Supervision work deals with important data necessary for the performance management on building construction sites in accordance with the Building Act. Therefore, this study attempts to use the data from supervisory reports to measure the performance of private building projects. Performance measurement is important for systematic management. However, there are only a few cases in which performance measurement is performed because it requires strenuous efforts to collect data for measurement. First, this study derived 6 performance areas and 15 indicators through a few rounds of expert group discussions. Then, we confirmed the performance indicators with high feasibility of data collection through a survey of supervision experts. It is expected that the data of supervisory reports can measure systematically performance and assist in speedy diagnosis of private building construction sites.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.821-824
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• 2022

최근 딥러닝(Deep Learning) 기술이 다양한 분야에서 활용되고 있으며, 사전 학습된 딥러닝 모델에 대한 압축과 전송 방안에 관한 연구 또한 활발히 진행되고 있다. 이와 관련하여, 국제 표준화 기구인 ISO/IEC 산하 MPEG(Moving Picture Expert Group)에서는 인공신경망 모델을 다양한 딥러닝 프레임워크(Deep Learning Framework)에서 상호운용 가능한 포맷으로 압축 표현할 수 있는 NNC(Compression of Neural Network for Multimedia Content Description nd Analysis) 표준화를 진행하고 있다. 압축된 딥러닝 모델의 데이터를 효과적으로 저장하여 전송 및 사용하기 위해서는 ISOBMFF(ISO based Media File Format) 캡슐화 과정이 필요하다. 본 논문에서는 MPEG의 NNC 표준에 따라 사전 학습된 딥러닝 모델을 압축한 후 이를 통해 생성된 비트스트림(bitstream)을 ISOBMFF로 캡슐화하기 위한 기술을 제안 및 실험한다. 또한, 실험에 대한 검증을 위하여 생성된 ISOBMFF 데이터를 비트스트림으로 복원한 뒤 복호화하여 입력 비트스트림과 차이가 없음을 확인한다.

• ETRI Journal
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• v.46 no.3
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• pp.513-525
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• 2024

Deep neural networks trained on labeled medical data face major challenges owing to the economic costs of data acquisition through expensive medical imaging devices, expert labor for data annotation, and large datasets to achieve optimal model performance. The heterogeneity of diseases, such as Alzheimer's disease, further complicates deep learning because the test cases may substantially differ from the training data, possibly increasing the rate of false positives. We propose a reconstruction-based self-supervised anomaly detection model to overcome these challenges. It has a dual-subnetwork encoder that enhances feature encoding augmented by skip connections to the decoder for improving the gradient flow. The novel encoder captures local and global features to improve image reconstruction. In addition, we introduce an entropy-based image conversion method. Extensive evaluations show that the proposed model outperforms benchmark models in anomaly detection and classification using an encoder. The supervised and unsupervised models show improved performances when trained with data preprocessed using the proposed image conversion method.

• Journal of Korean Academy of Oral and Maxillofacial Radiology
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• v.27 no.2
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• pp.83-90
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• 1997

This study was performed to demonstrate the effect of linear or nonlinear contrast enhancement on subtraction images. Three different textures were radiograped on dental film. The first radiograph was taken without the presence of an object. the second, which showed trabucular bone, was taken of the molar area of a human. the third radiograph was taken of the coronal part of molars. Each film was digitized into a 1312 x 1024 pixel x 8 bit depth matrix by means of a Nikon 35 mm film scanner(LS-3510AF, Japan) with fixed gain and internal dark current correction to maintain constant illumination. The scanner was interfaced to a Macintosh Le ill computer(Apple Computer, Charlotte, N.C) This resulted in three pairs of images, including different textures-plain, bone and enamel. Digital regular, linearly and nonlinearly enhanced subtraction was performed. Computer software was ,used to simulate lesions in the shape of a 2D-Gaussian curve on each of a pair of images. The each subtraction images were presented in a random sequence to two groups of 10 observers(students and dentists). ROC analysis was used to compare observer performance. The following results were obtained ; 1. All of LCE subtraction, equalized subtraction and regular subtraction images of plain texture were diagnosed the best by far. 2. The data revealed a siginificant LCE effect in both the student group and the expert group. 3. Clinical expertise was a helphul factor for the observers in this study.

• Journal of Korean Public Health Nursing
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• v.30 no.3
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• pp.526-543
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• 2016

Purpose: The purpose of this study was to explore how public health nurses (PHNs) perceive their roles and duties (R&D), as well as to investigate the change of their R&D, how they manage and solve problems. Methods: The data were collected through focus group interviews. Data were analyzed using Morgan (1998) and Krueger (1998)'s four step analysis. A total of 17 experienced PHNs participated in this study. Results: The results found 5 themes and 19 sub-themes: R&D of health managers and health service providers, factors affecting the changes of PHN's R&D, R&D in adjusting with trends and expanding work field (R&D being reduced, increasing R&D, need to expand R&D), problem with the structure and quality of workforce (lack of nurse manpower, lack of promotion opportunities, increasing non-regular workers, lack of refinement as an expert), and strategies for solving personnel issues (strengthening the job capacity, cultivating professional refinement, strengthening outside activities and political activities, strengthening the roles of PHN-related associations and academy, engagement policy of non-regular workers, expansion of the activity area) Conclusion: PHNs need to recognize their changing R&D and ways they manage and solve problems to enhance their professionalism.