• 품질경영학회지
• /
• 제44권3호
• /
• pp.541-552
• /
• 2016

Purpose: In this study, we propose that how to approach a effective system engineering and optimize system engineering management process for the mass production weapon system parts localization development process and success in DTaQ. Methods: To approach a effective system engineering for the mass production weapon system parts localization, we analyze a weapon system acquisition process and system engineering process of Republic of Korea and DTaQ parts localization business regulations in advance. after results of analysis of them, we implement a optimized parts localization development system engineering based on ISO/IEC/IEEE 15288. Results: In order to apply International Standard ISO/IEC/IEEE 15288 to the mass production weapon system parts localization development process, we compare the mass production weapon system parts localization acquisition environment with ISO/IEC/IEEE 15288 and analyze them. therefore, It is possible to implement a part of concept stage and development stage of ISO/IEC/IEEE total life cycle stage for the mass production weapon system parts localization development process. To achieve the technical review milestones of DTaQ parts localization business regulations in the selected stages of ISO/IEC/IEEE, the development and management agency perform 2 high rank process and 19 low rank process specified in ISO/IEC/IEEE. Conclusion: When the development and management agency perform the mass production weapon system parts localization development using the proposed system engineering approach, they should easily meet milestone through the clarified requirement and simplified System Engineering output documents in limited development period.

• 플랜트 저널
• /
• 제5권3호
• /
• pp.50-58
• /
• 2009

In this paper, the present condition for localization of process pumps and the enhancement method of the localization ratio of process pumps for refinery and chemical plant market were studied. The market of plant industry in the world has grown rapidly since 2000. However, the profit of domestic plant EPC compaies cound not have been increased as much as the market scale because they procured most of equipment from overseas. To make remarkable profit of plant EPC companies in the petrochemical industry, localization of equipments is required. Suitable equipment for localization is process pump applied API 610 standard. An purchased amount of pumps from overseas by domestic plant EPC companies in the last two years were 230 billion won. If process pumps are localized then an profit of plant EPC project will increase.

• 시스템엔지니어링학술지
• /
• 제16권1호
• /
• pp.78-83
• /
• 2020

Recently, the use of domestic products securing domestic technology is encouraged, because of export restrictions of the countries or DMSMS(diminishing manufacturing sources and shortages). Domestic weapon systems are actively focused on the parts localization process of R&D projects based on Systems Engineering. However, it is the only way to do technical review for Systems Engineering process up to now. There is a case of application in Localization with Systems Engineering process, but the SE activity is not enough. This study is how to apply Systems Engineering process to Localization effectively based on real cases.

• Journal of Information Processing Systems
• /
• 제11권3호
• /
• pp.370-388
• /
• 2015

The localization of multi-agents, such as people, animals, or robots, is a requirement to accomplish several tasks. Especially in the case of multi-robotic applications, localization is the process for determining the positions of robots and targets in an unknown environment. Many sensors like GPS, lasers, and cameras are utilized in the localization process. However, these sensors produce a large amount of computational resources to process complex algorithms, because the process requires environmental mapping. Currently, combination multi-robots or swarm robots and sensor networks, as mobile sensor nodes have been widely available in indoor and outdoor environments. They allow for a type of efficient global localization that demands a relatively low amount of computational resources and for the independence of specific environmental features. However, the inherent instability in the wireless signal does not allow for it to be directly used for very accurate position estimations and making difficulty associated with conducting the localization processes of swarm robotics system. Furthermore, these swarm systems are usually highly decentralized, which makes it hard to synthesize and access global maps, it can be decrease its flexibility. In this paper, a simple pyramid RAM-based Neural Network architecture is proposed to improve the localization process of mobile sensor nodes in indoor environments. Our approach uses the capabilities of learning and generalization to reduce the effect of incorrect information and increases the accuracy of the agent's position. The results show that by using simple pyramid RAM-base Neural Network approach, produces low computational resources, a fast response for processing every changing in environmental situation and mobile sensor nodes have the ability to finish several tasks especially in localization processes in real time.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제17권3호
• /
• pp.678-700
• /
• 2023

Diagnosing breast diseases using ultrasound (US) images remains challenging because it is time-consuming and requires expert radiologist knowledge. As a result, the diagnostic performance is significantly biased. To assist radiologists in this process, computer-aided diagnosis (CAD) systems have been developed and used in practice. This type of system is used not only to assist radiologists in examining breast ultrasound images (BUS) but also to ensure the effectiveness of the diagnostic process. In this study, we propose a new approach for breast lesion localization and segmentation using a multi-scale pyramid of the ultrasound image of a breast organ and a convolutional semantic segmentation network. Unlike previous studies that used only a deep detection/segmentation neural network on a single breast ultrasound image, we propose to use multiple images generated from an input image at different scales for the localization and segmentation process. By combining the localization/segmentation results obtained from the input image at different scales, the system performance was enhanced compared with that of the previous studies. The experimental results with two public datasets confirmed the effectiveness of the proposed approach by producing superior localization/segmentation results compared with those obtained in previous studies.

• 한국통신학회논문지
• /
• 제41권6호
• /
• pp.640-651
• /
• 2016

본 논문은 실내 환경에서 정확도를 고려한 효과적인 도래시간 기반 무선 측위 방법을 제안하였다. 위치 측위의 목적은 타겟의 위치를 추정하는 것이다. 실내 환경에서 타겟의 정확한 위치를 추정하는 것은 다양한 오류들 때문에 어렵다. 무선 측위의 정확성은 비가시성 오류에 큰 영향을 받는다. 도래시간 기반 측위는 수신기와 3개 이상의 송신기 들 사이에서 거리 값을 이용하여 위치를 추정한다. 그러나 송신기와 수신기의 위치에 따라 장애물들로 인해 각각의 비가시성 오류도 다르다. 수신기의 위치를 정확하게 추정하기 위해서는 최적화된 위치 측위 방법이 필요하다. 본 논문은 무선 센서 네트워크에서 정확도를 높이기 위한 효과적인 측위 방법을 제안한다. 측위 시스템의 정밀도를 높이기 위해 거리 측정 단계에서의 거리 값을 보정하는 방법과 비가시성 환경에서 발생하는 오차들을 최소화시켜 효율적으로 송신기들을 선택하는 알고리즘을 제안하여 성능을 향상시켰다. 제안한 방법의 성능 평가는 다양한 오차들이 존재하는 실제 환경에서의 실험들로 인해 제시되었고, 실험적인 결과들은 기존의 방법과 제안된 방법을 가진 측위 절차의 추정 오차 결과들의 비교를 통해 측위 시스템의 정확도가 향상된 것을 증명하였다.

• 제어로봇시스템학회논문지
• /
• 제16권5호
• /
• pp.433-439
• /
• 2010

This paper proposes a beacon color code scheduling algorithm for the localization of multiple robots in a multi-block workspace. With the developments of intelligent robotics and ubiquitous technology, service robots are applicable for the wide area such as airports and train stations where multiple indoor GPS systems are required for the localization of the mobile robots. Indoor localization schemes using ultrasonic sensors have been widely studied due to its cheap price and high accuracy. However, ultrasonic sensors have some shortages of short transmission range and interferences with other ultrasonic signals. In order to use multiple robots in wide workspace concurrently, it is necessary to resolve the interference problem among the multiple robots in the localization process. This paper proposes an indoor localization system for concurrent multiple robots localization in a wide service area which is divided into multi-block for the reliable sensor operation. The beacon color code scheduling algorithm is developed to avoid the signal interferences and to achieve efficient localization with high accuracy and short sampling time. The performance of the proposed localization system is verified through the simulations and the real experiments.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
• /
• pp.86-88
• /
• 2005

An autonomous semantic-map building method is proposed, with the robot localized in the semantic-map. Our semantic-map is organized by objects represented as SIFT features and vision-based relative localization is employed as a process model to implement extended Kalman filters. Thus, we expect that robust SLAM performance can be obtained even under poor conditions in which localization cannot be achieved by classical odometry-based SLAM

• Journal of Positioning, Navigation, and Timing
• /
• 제9권1호
• /
• pp.23-31
• /
• 2020

It is essential to estimate the vehicle localization for an autonomous safety driving. In particular, since LIDAR provides precise scan data, many studies carried out to estimate the vehicle localization using LIDAR and pre-generated map. The road marking always exists on the road because of provides driving information. Therefore, it is often used for map information. In this paper, we propose to generate the Gaussian mixture map based on road-marking information and localization method using this map. Generally, the probability distributions map stores the single Gaussian distribution for each grid. However, single resolution probability distributions map cannot express complex shapes when grid resolution is large. In addition, when grid resolution is small, map size is bigger and process time is longer. Therefore, it is difficult to apply the road marking. On the other hand, Gaussian mixture distribution can effectively express the road marking by several probability distributions. In this paper, we generate Gaussian mixture map and perform vehicle localization using Gaussian mixture map. Localization performance is analyzed through the experimental result.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
• /
• pp.159-162
• /
• 2002

This paper presents a modified localization scheme of a mobile robot. When it navigates, the position error of a robot is increased and doesn't go to a goal point where the robot intends to go at the beginning. The objective of localization is to estimate the position of a robot precisely. Many algorithms were developed and still are being researched for localization of a mobile robot at present. Among them, a localization algorithm named continuous localization proposed by Schultz has some merits on real-time navigation and is easy to be implemented compared to other localization schemes. Continuous Localization (CL) is based on map-matching algorithm with global and local maps using only ultrasonic sensors for making grid maps. However, CL has some problems in the process of searching the best-scored-map, when it is applied to a mobile robot. We here propose fast and powerful map-matching algorithm for localization of a mobile robot by experiments.