• Journal of the Korean Society of Radiology
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• v.13 no.1
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• pp.103-110
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• 2019

The objective of this study was to prepare the baseline data for vocational key competence of radiologists by analyzing the communication skills, problem-solving skills, self-development capability, interpersonal skills, and vocational ethics, which are required by NCS job descriptions for radiologists, of college students majoring in radiology. This study surveyed 79 sophomore and junior college students majoring in radiology at S University from Nov 19 to Nov 30, 2018, using questionnaires and analyzed the levels of vocational key competencies. The analysis results of vocational key competences levels showed that the level of interpersonal skills was the highest (71.2 points for juniors and 74.9 points for seniors). The levels of problem-solving skills and self-development capability were low. Conflict management capability, which is a sub-domain of interpersonal skills, was 77.5 and 80.5 points for juniors and seniors, respectively, which were the highest, while leadership ability was the lowest. When the sub-domains of self-development capability were analyzed, self-recognition capability was the highest (70.0 points for juniors and 74.8 points for seniors) and the career development capability was the lowest. Colleges are required to develop a customized regular curriculum that is well-linked to the clinic in order to improve the vocational key competencies required by the NCS job description to prepare for the blind hiring process. Colleges also put efforts to educate radiologists who can actively cope with rapidly changing medical environment by running various non-regular programs.

• Korean Chemical Engineering Research
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• v.61 no.1
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• pp.74-79
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• 2023

As the demand for hydrogen increases, the facilities for storing hydrogen has been important, and a few laws for hydrogen facilities should be complied. According to the Occupational Safety and Health Act in Korea, in case liquid hydrogen with a storage capacity of 5 tons or more is handled, a Process Safety Management (PSM) system should be complied. However, there are some standards which are not proper for flammable low-temperature liquefied substances on the current Occupational Safety and Health Act. In this study, 7 key points in process safey information and safety operation procedures among PSM components are suggested and how these key points should be improved is derived based on scientific analysis.

• Smart Structures and Systems
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• v.33 no.2
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• pp.105-118
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• 2024

In order to realize tiny bridge crack discovery by UAV-based machine vision, a novel method combining deep learning and tensor voting is proposed. Firstly, the grid images of crack are detected and descripted based on SE-ResNet50 to generate feature points. Then, the probability significance map of crack image is calculated by tensor voting with feature points, which can define the direction and region of crack. Further, the crack detection anchor box is formed by non-maximum suppression from the probability significance map, which can improve the robustness of tiny crack detection. Finally, a case study is carried out to demonstrate the effectiveness of the proposed method in the Xiangjiang-River bridge inspection. Compared with the original tensor voting algorithm, the proposed method has higher accuracy in the situation of only 1-2 pixels width crack and the existence of edge blur, crack discontinuity, which is suitable for UAV-based bridge crack discovery.

• Journal of the Korea Society of Computer and Information
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• v.23 no.1
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• pp.41-48
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• 2018

Recently, surveillance systems are widely used, and one of the key technologies in this surveillance system is to recognize and track objects. In order to track a moving object robustly and efficiently in a complex environment, it is necessary to extract the feature points in the interesting object and to track the object using the feature points. In this paper, we propose a method to track interesting objects in real time by eliminating unnecessary information from objects, generating feature point descriptors using only key feature points, and reducing computational complexity for object recognition. Experimental results show that the proposed method is faster and more robust than conventional methods, and can accurately track objects in various environments.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1468-1471
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• 2012

It is always a dream to recreate the experience of a particular place, the Panorama Virtual Reality has been interpreted as a kind of technology to create virtual environments and the ability to maneuver angle for and select the path of view in a dynamic scene. In this paper we examined an efficient algorithm for Image registration and stitching of captured imaged from a video stream. Two approaches are studied in this paper. First, dynamic programming is used to spot the ideal key points, match these points to merge adjacent images together, later image blending is use for smooth color transitions. In second approach, FAST and SURF detection are used to find distinct features in the images and a nearest neighbor algorithm is used to match corresponding features, estimate homography with matched key points using RANSAC. The paper also covers the automatically choosing (recognizing, comparing) images to stitching method.

• Journal of Information Processing Systems
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• v.19 no.2
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• pp.164-172
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• 2023

Through theoretical proof and algorithm design, this paper numerically demonstrates that the three sampling methods of DDS are equivalent in amplitude-frequency characteristics. Depending on theoretical analysis, the article obtains the conclusion that 2 points are optimal when sampling at 2, 3, and 4 points. Built on the data results, this paper obtains the fractional form of the amplitude and phase of the DDS sampled signal; in addition, this paper also obtains the design parameters of the DDS post-stage filter. It also gives a control method for the calculation error when addressing this issue.

• The Journal of Fisheries Business Administration
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• v.55 no.1
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• pp.1-20
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• 2024

Among Japan's agriculture, forestry, fisheries and regional revitalization plans established in June 2018, the key matters related to aquaculture include ① a new perspective on the sponge use system for the development of aquaculture and coastal fisheries, ② a comprehensive strategy for growth and industrialization of aquaculture, and ③ expansion of suitable aquaculture areas. There are four countermeasures including ④ research and development trends. In accordance with these key points, the Japanese government established a comprehensive strategy for aquaculture growth and industrialization by strategically setting aquaculture items in consideration of domestic and international demand, establishing a comprehensive strategy from production to sales and export, and then working in earnest to promote the aquaculture industry. This study analyzes environmental changes surrounding aquaculture in Japan and trends in fish farming and marine products, and summarizes the key points of the June 2018 Agriculture, Forestry, Fisheries and Regional Revitalization Plan to suggest measures that can be utilized in Korea's aquaculture policy.

• International Journal of Control, Automation, and Systems
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• v.5 no.2
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• pp.200-207
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• 2007

The passive direction finding cross localization method is widely adopted in passive tracking, therefore there will exist masses of false intersection points. Eliminating these false intersection points correctly and quickly is a key technique in passive localization. A new method is proposed for passive locating and tracking multi-jammer target in this paper. It not only solves the difficulty of determining the number of targets when masses of false intersection points existing, but also solves the initialization problem of elastic network. Thus this method solves the problem of multi-jammer target correlation and the elimination of static false intersection points. The method which dynamically establishes multiple hypothesis trajectory trees solves the problem of eliminating the remaining false intersection points. Simulation results show that computational burden of the method is lower, the elastic network can more quickly find all or most of the targets and have a more probability of locking the real targets. This method can eliminate more false intersection points.

• Structural Engineering and Mechanics
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• v.45 no.5
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• pp.595-611
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• 2013

This paper aims to compare three collocation point methods associated with the odd order stochastic response surface method (SRSM) in a systematical and quantitative way. The SRSM with the Hermite polynomial chaos is briefly introduced first. Then, three collocation point methods, namely the point method, the root method and the without origin method underlying the odd order SRSMs are highlighted. Three examples are presented to demonstrate the accuracy and efficiency of the three methods. The results indicate that the condition that the Hermite polynomial information matrix evaluated at the collocation points has a full rank should be satisfied to yield reliability results with a sufficient accuracy. The point method and the without origin method are much more efficient than the root method, especially for the reliability problems involving a large number of random variables or requiring complex finite element analysis. The without origin method can also produce sufficiently accurate reliability results in comparison with the point and root methods. Therefore, the origin often used as a collocation point is not absolutely necessary. The odd order SRSMs with the point method and the without origin method are recommended for the reliability analysis due to their computational accuracy and efficiency. The order of SRSM has a significant influence on the results associated with the three collocation point methods. For normal random variables, the SRSM with an order equaling or exceeding the order of a performance function can produce reliability results with a sufficient accuracy. The order of SRSM should significantly exceed the order of the performance function involving strongly non-normal random variables.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.1
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• pp.129-135
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• 2015

The Ubiquitous City (U-City) spatial information technology aimed to provide services freely anytime and anywhere by converging high-tech information & communication technology in urban infrastructure has been available in diverse patterns. In particular, there have been studies on the development of 3D spatial information after selecting and matching key points with stereo images from the many Closed Circuit TV (CCTV) in the U-City. However, the data mostly used in extracting matching points haven't considered external environmental impacts such as illuminance. This study tested how much the matching points needed to construct 3D spatial information with the CCTV whose image quality is dependent upon changes in illuminance fluctuate under the same hardware performances. According to analysis on the number of matching points by illuminance, the number of matching points increased up to 3,000Lux in proportion to the illuminance when IRIS, shutter speed and ISO were fixed. In addition, a border between an object and background became more distinctive. When there was too much light, however, the page became brighter, and noise occurred. Furthermore, it was difficult to name key points because of the collapse of an inter-object border. It appears that if filmed with the study results, the number of matching points would increase.