• Journal of the Korean Society of Manufacturing Technology Engineers
• /
• v.18 no.5
• /
• pp.498-506
• /
• 2009

An experimental study was performed to select cutting parameters for better quality-products in hard metals such as steels. Usually, a hard metal can be cut with a rotary cutting knife and the process provides a good cutting quality result. However, the cutting machine is much sensitive in cutting conditions because of its complicated mechanism. By this reason, careful processing conditions must be taken to improve the quality of the products. This experimental study for better quality products with a rotary cutting knife was carried out with two main factors; cutting speeds and cutting and pooling forces. A two-dimensional profile measuring instrument is used to evaluate its cutting faces and the effects of processing factors are analyzed by a commercial software.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.61 no.5
• /
• pp.770-776
• /
• 2012

For a few recent years, KECA(Korea Electrical Contractor Association) has promoted a project to establish an electrical construction specification called Master Spec. This paper analyses the characteristics of standards-making process of the Master Spec. as an umbrella technical standard in electrical construction industry in Korea. This paper argues that even if the Master Spec. is recognized to be technical standards, the standards-making process involves both technical and social practices when viewed from social construction theory and governance perspective. This aspect of social practices in technical standards making should be well understood because various stakeholders in terms of interests, resources, and motives try to influence the process positively and negatively. KECA in responsible for enactment of the Mater Spec. should be very thoughtful in building consensus first of all among electrical contractors, managing relationship with concerned government officials, and dealing with potential deviant groups as well as in pooling expertises and developing technical knowledge needed for designing technical specification.

• The Transactions of the Korea Information Processing Society
• /
• v.7 no.3
• /
• pp.909-922
• /
• 2000

High sped messaging layer for application's feeling of low level network performance is needed by Clustering System based on high speed network fabrics. It should have the mechanism to directly pass messages between network card and application space, and provide flexible affodabilities for many diverse applications. In this paper, CROWN (Clustering Resources On Workstations' Network) which is designed and implemented for multi-purpose clustering system will be introduced briefly, and CLCP(CROWN Lean Communication Primitives)which is the high speed messaging layer for CROWN will be followed. CLCP consists of a firmware for controlling Myrinet card, device drier, and user libraries. CLCP supports various application domains as a result of pooling and interrupt receive mechanism. In case of polling based receive, 8 bytes short message, and no other process, CLCP has 262 micro-second response time between two nodes, and IM bytes large message, it shows 442Mbps bandwidth.

• Proceedings of the Korean Information Science Society Conference
• /
• 2001.04a
• /
• pp.487-489
• /
• 2001

인터넷과 무선 이동통신 등이 보편화되면서 두 기술을 접목한 WAP(Wireless Application Protocol)[1]이 등장하였으며, 다수의 사용자 요구를 동시에 효율적으로 처리하면서 다양한 문서 단말기로부터 요청을 신속하게 처리할 수 있는 WAP 게이트웨이(gateway)에 대한 연구가 여러 연구 그룹에서 수행되고 있다. WAP 스택은 이러한 연구 중의 가장 기본적인 기술이다. 본 논문에서는 Java의 기본적인 서비스인 멀티쓰레드를 이용하고, 컨테이너 유효 리소스의 효율적 관리를 위해 접속 풀링(connection pooling) 기능을 적용하여 UDP(User Datagram Protocol)[4], WTP(Wireless Transaction Protocol)[2], WSP(Wireless Session Protocol)[3] 계층을 설계한다. 설계 방법론은 UML(Unified Modeling Language)을 사용한다.

• Asia pacific journal of information systems
• /
• v.10 no.4
• /
• pp.21-36
• /
• 2000

This paper addresses the need to incorporate the increasing trend of partnership formation among business firms into a framework for interorganizational systems. The existing frameworks for classifying interorganizational systems are either conceptually too complex to be readily applicable to IOS planning or too outdated to explain the emergence of numerous forms of global communication networks. Based upon two dimensions, namely value activity linkage and system support level, we propose a new IOS framework which classifies IOS into four types, including (1) operational cooperation, (2) resource pooling, (3) operational coordination, and (4) complementary partnership. We review select cases that fit into each IOS category and draw characteristics of systems of each category. The paper concludes with suggestions for applying the framework to the development of an IOS-enabled corporate strategy.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.04d
• /
• pp.205-207
• /
• 2003

인터넷의 사용자가 증가함에 따라 다양한 서비스가 요구된다 다자간 회의 시스템 역시 다양한 서비스 제공의 일부분으로 많은 연구가 진행되고 있다. VoIP 프로토콜인 SIP(Session Initiation Protocol)는 기본적으로 다자간 멀티미디어 컨퍼런싱을 지원한다. 그러나 현재는 인터넷 전화 등 주로 1:1 호설정에 이용되고 있다. 이를 위해 SiP에 다자간 회의 시스템을 적용하기 위하여 새로운 메소드 및 헤더의 확장, 나아가 다자간 회의 시스템 모델 정의등이 요구되어진다. 본 논문은 다자간 회의 시스템 모델 표준을 소개하고 이를 기초로 효율적인 Conference Server를 제시한다. 설계된 Conference Server는 유효한 리소스의 관리 및 처리를 위해 접속 풀링(Connection Pooling)개념을 적용하여 컨퍼런싱에 참여하는 사용자의 요구를 신속하게 처리할 수 있도록 하였으며 QoS Selector를 두어 사용자의 자원에 맞는 서비스를 보장할 수 있게 하여 효율성을 높였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2015.04a
• /
• pp.878-880
• /
• 2015

파티클 필터 기반 얼굴추적은 비교적 빠른 속도와 구현의 용이성으로 널리 사용되고 있으나 조명이나 포즈변화가 있는 영상에서 드리프트(drift) 현상에 의해 얼굴추적의 정확도가 급격히 저하된다. 본 논문에서는 앞에 언급한 얼굴의 다양성에 강인한 얼굴 텍스처 특징을 제안한다. 제안방법은 인접한 픽셀들 간의 관계를 고려한 텍스처 패턴을 정의할 때 인접한 픽셀들의 평균(average)을 적용하여 조명변화에 강인하다. 또한 얼굴의 구조적 정보를 반영한 블록 기반의 텍스처 패턴 풀링(pooling)에 의해 포즈변화에 강인하다. 실제 감시환경을 가정해 CCTV 카메라로 자체 제작한 비디오 영상에서 Local Binary Pattern(LBP)와 같은 대표적인 특징들과 비교 실험을 수행하였다. 실험결과, 드리프트(drift) 폭이 적어 더 높은 얼굴추적 정확도를 보였으며 초당 28 프레임의 매우 빠른 처리속도를 보였다.

• Journal of Korea Multimedia Society
• /
• v.24 no.10
• /
• pp.1336-1345
• /
• 2021

Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurological disorders in children. The diagnosis of ADHD in children is based on the interviews and observation reports of parents or teachers who have stayed with them. Since this approach cannot avoid long observation time and the bias of observers, another approach based on Electroencephalography(EEG) is emerging. The goal of this study is to develop an assistive tool for diagnosing ADHD by EEG classification. This study explores the frequency bands of EEG and extracts the implied features in them by using the proposed CNN. The CNN architecture has three Convolution-MaxPooling blocks and two fully connected layers. As a result of the experiment, the 30-60 Hz gamma band showed dominant characteristics in identifying EEG, and when other frequency bands were added to the gamma band, the EEG classification performance was improved. They also show that the proposed CNN is effective in detecting ADHD in children.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2019.06a
• /
• pp.80-81
• /
• 2019

본 논문에서는 자연스러운 장면 영상에서 임의의 방향성을 가진 텍스트를 검출하기 위한 기법을 제안한다. 텍스트 검출을 위한 기본적인 프레임 워크는 Faster R-CNN[1]을 기반으로 한다. 먼저 RPN(Region Proposal Network)을 통해 다른 방향성을 가진 텍스트를 포함하는 bounding box를 생성한다. 이어서 RPN에서 생성한 각각의 bounding box에 대해 세 가지의 서로 다른 크기로 pooling된 특징지도를 추출하고 병합한다. 병합한 특징지도에서 텍스트와 텍스트가 아닌 대상에 대한 score, 정렬된 bounding box 좌표, 기울어진 bounding box 좌표를 모두 예측한다. 마지막으로 NMS(Non-Maximum Suppression)을 이용하여 검출 결과를 획득한다. COCO Text 2017 dataset[2]을 이용하여 학습 및 테스트를 진행하였으며 주관적으로 평가한 결과 기울어진 텍스트에 적합하게 회전된 영역을 얻을 수 있음을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.9
• /
• pp.3186-3203
• /
• 2021

In this paper, a multi-scale local difference directional number (MLDDN) pattern is proposed for pig identification. Firstly, the color images of individual pig are converted into grey images by the most significant bits (MSB) quantization, which makes the grey values have better discrimination. Then, Gabor amplitude and phase responses on different scales are obtained by convoluting the grey images with Gabor masks. Next, by calculating the main difference of local edge directions instead of traditionally edge information, the directional numbers of Gabor amplitude and phase responses are encoded. Finally, the block histograms of the encoded images are concatenated on each scale, and the maximum pooling is adopted on different scales to avoid the high feature dimension. Experimental results on two pigsties show that MLDDN impressively outperforms the other widely used local descriptors.