• 로봇학회논문지
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• 제3권2호
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• pp.91-98
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• 2008

This paper describes the recognition method of moving objects in mobile robot with an omnidirectional camera. The moving object is detected using the specific pattern of an optical flow in omnidirectional image. This paper consists of two parts. In the first part, the pattern of an optical flow is investigated in omnidirectional image. The optical flow in omnidirectional image is influenced on the geometry characteristic of an omnidirectional camera. The pattern of an optical flow is theoretically and experimentally investigated. In the second part, the detection of moving objects is presented from the estimated optical flow. The moving object is extracted through the relative evaluation of optical flows which is derived from the pattern of optical flow. In particular, Focus-Of-Expansion (FOE) and Focus-Of-Contraction (FOC) vectors are defined from the estimated optical flow. They are used as reference vectors for the relative evaluation of optical flows. The proposed algorithm is performed in four motions of a mobile robot such as straight forward, left turn, right turn and rotation. Experimental results using real movie show the effectiveness of the proposed method.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2005년도 추계학술대회 논문집
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• pp.311-314
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• 2005

Our city structure is being complicated from the development of industry and the increase in population. It makes the ground space overcrowded, so underground space is systematized for use. Because this underground space has very complicated configuration, people have difficulty in finding the route in the underground space. Therefore It is demanded to comprehend configuration of the various space structure, predict pattern of the moving and analyze induction factor of the moving. When people are in the conflagration or dangerous situation, they are in the habit of using the route which they are used to go to and from. It is needed to analyze moving pattern of the pedestrian who usually use the underground space for the sake of dealing with conflagration in the underground space. Finally, this study suggested that general characteristic, distribution, moving route of the pedestrian and factors influencing that they choose the route which the research finds out.

• 정보처리학회논문지D
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• 제16D권1호
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• pp.113-122
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• 2009

기존의 패턴 탐사 기법들은 제한된 시간 및 공간영역에서 발생하는 다양한 이동 패턴들 중 단순히 사용자 요구에 적합할 것으로 추정되는 불특정한 빈발 이동 패턴만을 탐사하기 때문에 특정지점들 간의 최적 이동 경로나 정해진 시간 내의 스케줄링 경로 탐색과 같은 복합적인 시간 및 공간 제약 조건을 갖는 최적 이동 패턴을 탐사하는 문제에는 적용하기 어렵다. 이에 본 논문에서는 방대한 이동 객체의 이력 데이터 집합으로부터 복합적인 시간 및 공간 제약을 갖는 최적 이동 패턴을 탐사하는 문제를 보이고, 적용 가능한 위치 기반 서비스로서 최적 이동 경로에 해당하는 패턴을 탐색하기 위한 새로운 패턴 탐사 기법인 STOMP-F를 제안한다. 제안된 기법은 특정한 지점들 사이를 이동한 객체의 패턴들 중 객체가 가장 빈번하게 이동한 경로를 탐색하여 최적 경로로 결정하는 패턴 빈발도를 이용한 탐색 방법으로, 최적 이동 패턴 탐사 과정의 이동 시퀀스 생성 단계에서 객체의 위치 값과 공간영역 간의 위상 관계를 고려하여 이동 객체의 위치 속성에 대한 최하위 수준에서의 공간 일반화를 통해 보다 효율적으로 패턴 탐사를 수행할 수 있다. 제안 방법을 Dijkstra 알고리즘과 $A^*$ 알고리즘을 대상으로 실험 평가한 결과 $A^*$ 알고리즘의 휴리스틱 가중치에 따라 차이는 있으나 연산 처리 시간을 기준으로 타 알고리즘들 보다 효과적임을 알 수 있다.

• 산업경영시스템학회지
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• 제21권45호
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• pp.365-374
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• 1998

Control Chart is a powerful tool to detect that process is in control or out of control. CIM can have real effect when CIM involve automated quality control. A neural network approach is used for unnatural pattern detecting of control chart. The previous moving window method uses all unnatural pattern that is detected as moving time window. Therefore, It trains a large number of unnatural pattern and takes training time long. In this paper, the proposed method tests a small number of training unnatural pattern which modifies test data without repeating time. We shows that the proposed method has differences In training time and identification rate on the previous moving windows method. As results, we reduced training time and obtain the same identification rate.

• 대한한의학원전학회지
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• 제19권2호통권33호
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• pp.30-45
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• 2006

Analyzed the subject of ‘To heart' meridian system(向心服系), and 'Circulating' meridian system(備環服系), and considered relativity between the circulating pattern of the channels, the collaterals and the circulating distinction YoungGi (營氣), WiGi(衛氣). The subject of 'To heart' meridian system is WiGi, and this system is similiar to the moving pattern of the fifteen major collaterals(十五絡服). The subject of 'Circulating' meridian system is YoungGi, and this system is same with the moving pattern of the twelve regular channels(十二經脈). YoungGi and WiGi have the same origin, and they are intrinsic one thing with functional ambivalency. It is WiGi, the subject of the movement of Collateral, because it is identical the moving pattern of Collaterals(絡服) and that of WiGi as the subject of the movement of Collateral. It is YoungGi, the subject of movement of Channel because it is identical the moving pattern of Channels(經服) and that of YoungGi. It can be defined that Wigi as the subject of the movement of Collateral, also YoungGi as the subject of movement of Channel, but that is from i 염 function and action, there's no need to be separated within the framework of going through Meridian. YoungSuBosa(迎隨補鴻) in acupuncture, defines its basis not only on the moving direction of YoungGi, but on combinated difference between the directions, moments, and sex. Until now it is under discussion the rights and wrongs, It's not contradictory concept between two basis of YoungSuBoSa, from the thought the distinct movement of WiGi and the circulation pattern of Collaterals have no specified directions.

• 한국IT서비스학회지
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• 제6권1호
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• pp.127-140
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• 2007

Due to the development of information technologies and new businesses related to moving objects, the need for the storage and analysis of moving object data is increasing rapidly. Moving object data have a spatiotemporal nature which is different from typical business data. Therefore, different methods of data storage and analysis are required. This paper proposes a multidimensional data model and data visualization to analyze moving object data efficiently and effectively. We expect that decision makers can understand the movement pattern of moving objects more intuitively through the proposed implementation.

• 인터넷정보학회논문지
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• 제10권5호
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• pp.79-93
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• 2009

사용자들의 특성에 맞게 개인화되고 세분화된 위치 기반 서비스를 개발하기 위한 목적으로 시공간 상에서 발생하는 이동 객체의 다양한 패턴들 중 의미있는 유용한 패턴을 추출하기 위한 시공간 패턴 탐사가 필요하다. 이에 본 논문에서는 방대한 이동 객체의 이력 데이터로부터 패턴 탐사를 통해 실세계에 적용 가능한 위치 기반 서비스의 개발에 대한 응용으로, STOMP(F)[25]에서 정의한 최적의 이동 패턴을 탐사하는 문제들을 기반으로 시간 및 공간 제약을 갖는 패턴을 추출하기 위한 새로운 탐사 기법인 STOMP(FW)를 제안한다. 제안된 기법은 패턴 빈발도 만을 이용한 기존 연구(STOMP(F)[25])에 가중치(거리, 시간, 비용 등)를 복합적으로 이용하는 패턴 탐사 방법으로, 특정한 지점들 사이를 이동한 객체의 이동 패턴들 중 패턴 빈발도가 특정 임계치 이상이고 가중치가 가장 적게 소요되는 이동 패턴을 최적 경로로 결정하는 방법이다. 제안된 방법의 패턴 탐사는 경험적인 이동 이력을 사용함으로써 기존의 최적 경로 탐색 기법들($A^*$, Dijkstra 알고리즘)이나 빈발도 만을 이용한 방법들 보다 접근하는 노드 수가 상대적으로 적어 보다 빠르고 정확하게 최적 패턴을 탐색할 수 있음을 보인다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 추계학술대회논문집
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• pp.840-845
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• 2004

Development of the linear motors is recently required to control a high-speed and high-resolution in the high-integrated and speed process industry. This paper presents vibration analyses as well as measurement standards of the newly developed linear motors through analyzing the vibration characteristics of the advanced products. Vibration experiments are conducted for identifying vibration level during operation. They are also included in the modal test to analyze dynamic characteristics. Analytic data using Finite Element Method (FEM) are compared with the results of the modal. The FEM and experiments make it possible to understand these characteristics. Further, through computer simulation for the behavior of moving part to be vibration source, the best acceleration pattern of moving part movement can be verified to achieve effective moving part positioning and reduce the vibration due to moving part movement.

• 산업기술연구
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• 제19권
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• pp.179-187
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• 1999

The computer pattern sewing machine is an automatic sewing machine that is controlled by an input pattern. Even a novice can run this machine for various tasks fast and reliably such as sewing a button, a belt ring and an airbag, etc. The pattern processing software, which is the main software of this machine, is for editing and modifying pattern data by online teaching or off-line editing, setting up parameters, and calculate a moving distance of working area on the x-y axes. In this paper we propose an algorithm to generate pattern data for sewing by simplifying image data. The pattern data are composed of outline data like dot, line, circle, arc, curve, etc. We need converting this data into sewing data which involve sewing parameter, moving distance of working are an the x-y axes, thread, spindle speed.

• 전자공학회논문지A
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• 제31A권7호
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• pp.69-75
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• 1994

A very fine pattern formation process using double exposure is investigated, which can overcome the resolution limit of optical wafer stepper. The very fine pattern can be obtained by moving the edge profile of large pattern by means of moving the stepper stage. The simulation results show that the light transmittance decrease bellow 9%, and the contrast increase to 16.6% for the 0.3$\mu$m photoresist pattern exposeed by the double exposure using i-line wafer stepper. And the experimental results show that fine photoresist pattern as short as 0.2$\mu$m can be obtained without a loss of photoresist thickness. Also, it proves that the depth of focus for 0.3$\mu$m pattern is longer than $1.5\mu$m. And, the very fine negative photoresist pattern was formmed by using the double exposure technique and the image reversal process.