• Transactions of Materials Processing
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• v.32 no.1
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• pp.5-11
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• 2023

The aim of this study is to manufacture an aluminum pipe yoke of automotive steering system for lightweight. In a multistage cold forging process for aluminum pipe yoke, the surface defects frequently occur due to excessive deformation or friction during extrusion process for forming hollow pipe part. It is import to reduce the friction between the material and the forging die. This study investigated a multistage forging process with sliding die to reduce friction for aluminum pipe yoke. After evaluating by FE analysis, the forging experiment with the sliding die was carried out. As a result, it was possible to manufacture a sound aluminum pipe yoke.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1305-1307
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• 2022

자동차 부품의 결함은 시스템 전체의 성능 저하 및 인적 물적 손실이 발생할 수 있으므로 생산라인에서의 불량 검출은 매우 중요하다. 따라서 정확하고 균일한 결과의 불량 검출을 위해 딥러닝 기반의 고장 진단 시스템이 다양하게 연구되고 있다. 하지만 제조현장에서는 정상 샘플보다 비정상 샘플의 발생 빈도가 현저히 낮다. 이는 학습 데이터의 클래스 불균형 문제로 이어지게 되고, 이러한 불균형 문제는 고장을 판별하는 분류 모델의 성능에 영향을 끼치게 된다. 이에 본 연구에서는 모터의 동작음으로부터 불량 모터를 판별하는 불량 검출 시스템 설계를 위한 데이터 불균형 해결 방법을 제안한다. 자동차 사이드 미러 모터의 동작음을 학습 및 테스트를 위한 데이터 셋으로 사용하였으며 손실함수 계산 시 학습 데이터 셋의 클래스별 샘플 수 가 반영되는 label-distribution-aware margin(LDAM) loss 와 Inception, ResNet, DenseNet 신경망 모델의 비교 분석을 통해 불균형 데이터를 처리할 수 있는 가능성을 보여주었다.

• The Journal of the Acoustical Society of Korea
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• v.28 no.6
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• pp.499-505
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• 2009

Main design issues for MAC (Medium Access Control) protocol in underwater sensor networks are long propagation delay caused by the low speed of sound, difficult synchronization, and energy-limited node's life. We aimed to mitigate the problems of strict synchronization and channel inefficiency of TDMA and also the throughput degradation induced by unavoidable collisions in contention based MAC protocols. This proposed protocol improved not only the energy efficiency by adopting a sleep-mode, but also the throughput by reducing collisions and increasing channel efficiency.

• Journal of Research and Publication Ethics
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• v.5 no.1
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• pp.13-18
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• 2024

Purpose: Since 2006, social, ethical, and institutional options have been attempted in Korea to establish research ethics; however, the effectiveness of these attempts has not been thoroughly examined. Studies have been conducted abroad to determine the timeliness of social, ethical and institutional alternatives, such as the adoption of laws governing research ethics, the improvement of research ethics education, the bolstering of systems, the introduction of incentive programs, and the creation of social environments that support research ethics. Research design, data, and methodology: Specific facets of research misconduct or research ethics must be investigated and verified. Aspects of moral growth at the person level must be investigated via research ethics and research ethics education. Results: There is an increasing need for the general public to define and uphold research ethics as the impact of research findings on society grows. Researchers can boost their confidence in their ethical judgments and actions by being aware of research ethics. This may lead to confidence in their capacity to make morally sound decisions. Conclusion: By doing this study, the researcher confirmed that ethically correct behavior can lead to and realize self-growth. Researchers may be more interested in and dedicated to their work when they feel that their research might help them mature and develop ethically.

• Advances in nano research
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• v.17 no.3
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• pp.285-291
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• 2024

The paper considers one of the new applications of computer methods in music composition, using smart nanobeams-an integration of advanced computational techniques with new, specially designed materials for enhanced performance capabilities in music composition. The research applies some peculiar properties of smart nanobeams, embedded with piezoelectric materials that modulate and control sound vibrations in real-time. The study is conducted to determine the effects of changes in the length, thickness of nanobeams and the applied voltage on acoustical properties and the tone quality of musical instruments with the help of numerical simulations and optimization algorithms. By means of piezo-elasticity theory, different governing equations of nanobeam systems can be derived, which are solved by the numerical method to predict the dynamic behavior of the system under different conditions. Results show that manipulation of the parameters allows great control over pitch, timbre, and resonance of the instrument; such a system offers new ways in which composers and performers can create music. This research also validates the computational model against available theoretical data, proving the accuracy and possible applications of the former. The work thus marks a large step towards the intersection of music composition with smart material technology, and, when further developed, it would mean that smart nanobeams could revolutionize the process for composing and performing music on these instruments.

• Journal of the Korean Society of Marine Environment & Safety
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• v.19 no.4
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• pp.382-390
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• 2013

The efforts for improving 'Maritime Traffic Safety Assessment Scheme(MTSA scheme)' have continued to the present. At this point, it needs to establish sound MTSA scheme to proceed acceleration step through the comprehensive review and systematic approach. In this study, it aimed to design of Metaevaluation Model for the comprehensive analysis of MTSA scheme with applying theory of the Metaevaluation, that is the evaluation of evaluation. To put it concretely, This research draw a basic model by using Metaevaluation methods like as literature studies, expert reviews, surveys and etc. and proposed a available 'PIP'OU' Metaevaluation Model through verified validity and reliability. This PIP'OU Model is the first proposed Metaevaluation Model in maritime field and it is expected to be used as framework to draw up improvement measure with deriving problem for the MTSA scheme.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.81-87
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• 2016

With the rapid growth of the up-to-date smartphone and wireless network technologies, huge and various types of smart applications using these technologies are actively developed recently. Especially, multiplex types of smart applications using smartphone are developed and diffused with the rapid development of the ubiquitous sensor network technology using various sensors and the mobile computing technology that enables us to get network services at any time in any places. In this paper, we design a smart application that can accurately diagnose and process the current state of the local environment, objects, and persons remotely based on the context information such as local ecology, circumstances, medical or healthcare records and realtime sound or motion pictures using up-to-date samrtphone technology on the USN based mobile computing environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1778-1784
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• 2016

we improved the performance by parallelizing lane detection algorithms. Lane detection, as a intellectual assisting system, helps drivers make an alarm sound or revise the handle in response of lane departure. Four kinds of algorithms are implemented in order as following, Gaussian filtering algorithm so as to remove the interferences, gray conversion algorithm to simplify images, sobel edge detection algorithm to find out the regions of lanes, and hough transform algorithm to detect straight lines. Among parallelized methods, the data level parallelism algorithm is easy to design, yet still problem with the bottleneck. The high-speed data level parallelism is suggested to reduce this bottleneck, which resulted in noticeable performance improvement. In the result of applying actual road video of black-box on our parallel algorithm, the measurement, in the case of single-core, is approximately 30 Frames/sec. Furthermore, in the case of octa-core parallelism, the data level performance is approximately 100 Frames/sec and the highest performance comes close to 150 Frames/sec.

• Journal of the Korean Institute of Landscape Architecture
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• v.34 no.4 s.117
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• pp.61-68
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• 2006

A park will soon be developed in an area of Gwangjang-dong, Gwangjin-gu. The place has been a patch of green space for years, isolated by driveways and apartment complexes and abandoned. This article describes plans to infuse the abandoned green space with history, ecology, culture, and sports. The facilities that are to be constructed in and around the green space are positioned to take into account the path of the sun and the location of the curvilinear green space axis. The cultural space is planned as a centerpiece of the park, linked with the sports facilities. The overall framework is arranged in harmony with nearby elementary schools, parks, public facilities, athletic facilities, parking lots, and apartment complexes. The themed circulation route was constructed according to the environmental conditions and the spatial plan. In addition, the historical space is planned to work in close conjunction with the cultural space, and the streets and pedestrian pathways have characters of their own. The established contour lines will be carefully preserved, and an ecological pond will. The facilities, such as the outdoor performance stage, the outdoor art gallery, the Monument of Wind represented by a sail, and the pedestrian bridge in memory of Acha-sansung, are positioned for spatial balance and to provide a nexus. The bamboo forest, designed to foster the experience of sound effects, the architectural thematic plants, and the ecological pond are positioned to connect to each other around the greenspace axis. The main facilities are the outdoor theater, the bamboo forest, the Acha-sansung bridge, the Monument of Wind, the ecological pond, the four-season flower garden, parking lots, playgrounds, circulatory athletic pathways, and the tennis court.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.50 no.7
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• pp.339-349
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• 2001

This paper suggests an optimal identification method for complex and nonlinear system modeling that is based on Fuzzy-Neural Networks(FNN). The proposed Hybrid Identification Algorithm is based on Yamakawa's FNN and uses the simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rule. In this paper, the FNN modeling implements parameter identification using HCM algorithm and hybrid structure combined with two types of optimization theories for nonlinear systems. We use a HCM(Hard C-Means) clustering algorithm to find initial apexes of membership function. The parameters such as apexes of membership functions, learning rates, and momentum coefficients are adjusted using hybrid algorithm. The proposed hybrid identification algorithm is carried out using both a genetic algorithm and the improved complex method. Also, an aggregated objective function(performance index) with weighting factor is introduced to achieve a sound balance between approximation and generalization abilities of the model. According to the selection and adjustment of a weighting factor of an aggregate objective function which depends on the number of data and a certain degree of nonlinearity(distribution of I/O data), we show that it is available and effective to design an optimal FNN model structure with mutual balance and dependency between approximation and generalization abilities. To evaluate the performance of the proposed model, we use the time series data for gas furnace, the data of sewage treatment process and traffic route choice process.