• 한국산업융합학회 논문집
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• 제22권3호
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• pp.325-335
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• 2019

In this paper, a novel adaptive gripper with underactuation is presented, which can change its configuration to parallel or power grip mode according to object shapes. Differently from the commercial adaptive gripper by RobotiQ, the proposed gripper includes an actual parallelogram inside a five-bar mechanism, which allows the free selection of actuator locations and can reduce actuation torques effectively. The forward and inverse kinematics for two grip modes and statics analysis have been analyzed. From the comparative design, the proposed gripper has about 20% smaller size, 3.7% larger stroke, and 30.5% smaller average actuation torque than the commercial one.

• Journal of Information Processing Systems
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• 제15권2호
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• pp.410-421
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• 2019

Distributed compressed sensing (DCS) states that we can recover the sparse signals from very few linear measurements. Various studies about DCS have been carried out recently. In many practical applications, there is no prior information except for standard sparsity on signals. The typical example is the sparse signals have block-sparse structures whose non-zero coefficients occurring in clusters, while the cluster pattern is usually unavailable as the prior information. To discuss this issue, a new algorithm, called backtracking-based adaptive orthogonal matching pursuit for block distributed compressed sensing (DCSBBAOMP), is proposed. In contrast to existing block methods which consider the single-channel signal reconstruction, the DCSBBAOMP resorts to the multi-channel signals reconstruction. Moreover, this algorithm is an iterative approach, which consists of forward selection and backward removal stages in each iteration. An advantage of this method is that perfect reconstruction performance can be achieved without prior information on the block-sparsity structure. Numerical experiments are provided to illustrate the desirable performance of the proposed method.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2018년도 학술발표회
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• pp.157-157
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• 2018

A reliable and accurate downscaling model which can provide climate change information, obtained from global climate models (GCMs), at finer resolution has been always of great interest to researchers. In order to achieve this model, linear methods widely have been studied in the past decades. However, nonlinear methods also can be potentially beneficial to solve downscaling problem. Therefore, this study explored the applicability of some nonlinear machine learning techniques such as neural network (NN), extreme learning machine (ELM), and ELM autoencoder (ELM-AE) as well as a linear method, least absolute shrinkage and selection operator (LASSO), to build a reliable temperature downscaling model. ELM is an efficient learning algorithm for generalized single layer feed-forward neural networks (SLFNs). Its excellent training speed and good generalization capability make ELM an efficient solution for SLFNs compared to traditional time-consuming learning methods like back propagation (BP). However, due to its shallow architecture, ELM may not capture all of nonlinear relationships between input features. To address this issue, ELM-AE was tested in the current study for temperature downscaling.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.213-217
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• 2022

In the article, in connection with the goal and the hypothesis put forward, the following tasks were formulated: Based on the analysis of literature and existing pedagogical experience, the possibilities, features and pedagogical conditions for the use of educational telecommunication projects were specified. The selection of topics and content of educational telecommunication projects for use has been carried out. Research methods: theoretical analysis of psychological, pedagogical and methodological literature, projects of educational standards in computer science and information technology, study of the state of the problem in teaching practice, questioning.

• 중국학논총
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• 제70호
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• pp.87-108
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• 2021

This paper makes a comparative analysis of and (Third Edition) textbook. In the introduction part, it puts forward the purpose, significance and research object of the text, combs the general situation of the research on the arrangement of business Chinese textbook, discusses the concept and characteristics of business Chinese, and then makes a detailed comparative analysis of and Two Business Textbooks for Korean and Chinese. Firstly, the paper compares the compiling principles, compiling purposes and applicable objects. Then, it compares the text content, vocabulary selection, grammar teaching, culture and other aspects. Business Chinese has more international teaching ideas and diversified teaching methods in textbook editing, while the former is more targeted in different countries, reflecting more contents of cultural comparison between China and Korea in textbook content. we hope to find a reasonable plan for the compilation of Korean business Chinese textbooks.

• 대한전자공학회논문지TC
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• 제49권6호
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• pp.39-47
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• 2012

차세대 무선통신 시스템에서 다중 경로 페이딩의 영향을 효율적으로 감소시키기 위한 방법으로 최근 협력통신 시스템이 각광을 받고 있다. 협력통신 시스템은 정보를 전송하기 위해서 다양한 페이딩 계수를 가지고 있는 협력 릴레이를 사용하기 때문에, 모든 릴레이를 협력통신에 참여 시키는 것은 자원의 낭비를 초래한다. 그러므로 무선자원을 효율적으로 사용하기 위해서는 최적의 릴레이를 선택적으로 사용할 필요가 있다. 본 논문에서는 무선 협력통신 네트워크에서 발생하는 이러한 문제를 해결하기 위하여 Q-Learning 알고리즘을 이용한 협력 릴레이 선택 기법을 제안한다. Q-Learning에서는 자가 학습을 위해서 상태, 행동, 그리고 보상에 대한 파라미터를 정의한다. 이러한 파라미터가 잘 정의 될 때 Q-Learning을 이용하여 우수한 통신 성능을 얻을 수 있다. Q-Learning 알고리즘의 우수성을 보이기 위해서, 수학적인 분석을 통해서 최적의 협력 릴레이를 얻는 기법과 통신 성능을 비교하였다. 모의실험 결과, 제안된 기법에서 Q-Learning 알고리즘 내의 보상을 주는 방식에 따라, 비교 기법과 유사한 심벌오율 성능을 얻으면서 보다 더 적은 협력 릴레이를 선택하는 것을 보였다. 따라서 본 논문에서 제안된 기법은 다수의 릴레이를 사용하는 차세대 무선통신 시스템의 성능 향상을 위한 좋은 접근 방식의 하나로 판단된다.

• Journal of Computing Science and Engineering
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• 제6권3호
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• pp.227-242
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• 2012

Vehicular Ad Hoc Networks (VANETs) are highly dynamic and unstable due to the heterogeneous nature of the communications, intermittent links, high mobility and constant changes in network topology. Currently, some of the most important challenges of VANETs are the scalability problem, congestion, unnecessary duplication of data, low delivery rate, communication delay and temporary fragmentation. Many recent studies have focused on a hybrid mechanism to disseminate information implementing the store and forward technique in sparse vehicular networks, as well as clustering techniques to avoid the scalability problem in dense vehicular networks. However, the selection of intermediate nodes in the store and forward technique, the stability of the clusters and the unnecessary duplication of data remain as central challenges. Therefore, we propose an adaptable destination-based dissemination algorithm (DBDA) using the publish/subscribe model. DBDA considers the destination of the vehicles as an important parameter to form the clusters and select the intermediate nodes, contrary to other proposed solutions. Additionally, DBDA implements a publish/subscribe model. This model provides a context-aware service to select the intermediate nodes according to the importance of the message, destination, current location and speed of the vehicles; as a result, it avoids delay, congestion, unnecessary duplications and low delivery rate.

• 전기전자학회논문지
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• 제15권3호
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• pp.198-204
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• 2011

본 논문에서는 선택적 증폭후 전달(Opportunistic Amplify-and-Forward: OAF) 릴레이 시스템에 대한 새로운 성능 분석 기법을 레일리 페이딩 채널에 대하여 제안하였다. 제안된 분석 기법에서는 집합 연산(set-operation)을 기반으로 각 릴레이가 최적의 릴레이로 선택될 확률을 유도한다. 그리고 수신된 순시 신호 대 잡음비의 확률 밀도 함수를 기존의 분석 기법보다 일반적인 (확률밀도함수 표현에서 합 기호의 개수 및 그 영역이 구체화된)형태로 제시한다. 그리고 이를 이용하여 평균 오류율, 누락 확률 및 평균 채널 용량을 근사화된 닫혀진 형태로 유도한다. 제안된 성능분석 기법의 정확성은 모의실험을 통하여 검증한다. 성능분석 및 모의실험 결과 비교를 통하여 OAF 기법이 평균 오류 확률, 누락 확률 및 평균 채널 용량 측면에서 비선택적 기법에 비해 성능 향상 정도가 우수함을 확인한다.

• Journal of Biosystems Engineering
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• 제39권1호
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• pp.1-10
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• 2014

Purpose: This research was conducted to evaluate feasibility of a crank-type walking cultivators for weeding in furrowed upland. Methods: A walking cultivator developed by RDA was selected and evaluated with its working speed (S), cultivation depth (CD) and weeding performance (WP). The evaluation was performed in upland field on July and August, 2012. Also kinematic analysis of the machine was performed to draw out design improvements. Results: S in flat, uphill and downhill were about 0.11 m $s^{-1}$, 0.11 m $s^{-1}$, and 0.13 m $s^{-1}$ respectively. It was found that S had a low relevance with user conditions. The CD was 35 ~ 40 mm which was satisfied with the RDA guide for weeding machine. A wide variation was observed in values of WP depending on the growth stages of weeds and field conditions. The cultivator showed low performance in eliminating the well-grown weeds. Kinematic simulation revealed that high forward speed caused a high ratio of un-weeded area. Conclusions: The weeding performance of the cultivator was satisfactory for weeds in early growth stage but it showed difficulties in handling on up-slope and in entering up-land. Specifically, the weight of the cultivator was judged as overweight for female workers. The crank-hoe type cultivator was judged as unsuitable for small walking type machine due to weight of the four-bar linkage system. Kinematic analysis revealed that the ratio of crank speed to the ground speed must be 850 rpm s $m^{-1}$ (255 rpm based on 0.3 m $s^{-1}$) or greater to avoid uncultivated area. Selection of forward speed is a decisive factor in designing the weeding cultivator.

• 대한조선학회논문집
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• 제38권4호
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• pp.11-22
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• 2001

프로펠러-WIG(Wing in Ground Effect)선의 상호작용 및 성능을 포텐셜 유동에 의해 해석하였다. 프로펠러는 보오텍스 격자법(VLM)을 사용하였고 WIG선은 포텐셜 기저 패널법을 사용하여 각 경계조건을 만족시키면서 반복계산을 통하여 상호작용 및 성능을 해석하였다. 자유수면은 강체로 가정하여 경상법을 사용하였다. 프로펠러-WIG의 상호작용 및 성능을 해석하기에 앞서 발표된 실험결과와 계산결과가 있는 MP101 프로펠러와 MR-21 타의 상호작용 및 성능해석을 수행하여 개발된 프로그램의 정도를 검증하였다. 프로펠러-WIG선의 상호작용해석은 프로펠러의 부착위치, 직경 및 회전수의 변화에 따른 비행고도 높이 변화에 대한 양력 및 피치모멘트를 계산하여 비교하였다. 날개 앞에 부착된 프로펠러는 WIG선의 양력을 급격히 향상시키며 정적안정성을 향상시킴을 알았다. 따라서 적절한 프로펠러의 크기, 부착위치 및 회전수의 선택이 PARWIG선의 성능향상을 위해 필수적임을 알았다.