• Title/Summary/Keyword: real-time process

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A Study on the Selection and Applicability Analysis of 3D Terrain Modeling Sensor for Intelligent Excavation Robot (지능형 굴삭 로봇의 개발을 위한 로컬영역 3차원 모델링 센서 선정 및 현장 적용성 분석에 관한 연구)

  • Yoo, Hyun-Seok;Kwon, Soon-Wook;Kim, Young-Suk
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.6
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    • pp.2551-2562
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    • 2013
  • Since 2006, an Intelligent Excavation Robot which automatically performs the earth-work without operator has been developed in Korea. The technologies for automatically recognizing the terrain of work environment and detecting the objects such as obstacles or dump trucks are essential for its work quality and safety. In several countries, terrestrial 3D laser scanner and stereo vision camera have been used to model the local area around workspace of the automated construction equipment. However, these attempts have some problems that require high cost to make the sensor system or long processing time to eliminate the noise from 3D model outcome. The objectives of this study are to analyze the advantages of the existing 3D modeling sensors and to examine the applicability for practical use by using Analytic Hierarchical Process(AHP). In this study, 3D modeling quality and accuracy of modeling sensors were tested at the real earth-work environment.

Eye Tracking Using Neural Network and Mean-shift (신경망과 Mean-shift를 이용한 눈 추적)

  • Kang, Sin-Kuk;Kim, Kyung-Tai;Shin, Yun-Hee;Kim, Na-Yeon;Kim, Eun-Yi
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.44 no.1
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    • pp.56-63
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    • 2007
  • In this paper, an eye tracking method is presented using a neural network (NN) and mean-shift algorithm that can accurately detect and track user's eyes under the cluttered background. In the proposed method, to deal with the rigid head motion, the facial region is first obtained using skin-color model and con-nected-component analysis. Thereafter the eye regions are localized using neural network (NN)-based tex-ture classifier that discriminates the facial region into eye class and non-eye class, which enables our method to accurately detect users' eyes even if they put on glasses. Once the eye region is localized, they are continuously and correctly tracking by mean-shift algorithm. To assess the validity of the proposed method, it is applied to the interface system using eye movement and is tested with a group of 25 users through playing a 'aligns games.' The results show that the system process more than 30 frames/sec on PC for the $320{\times}240$ size input image and supply a user-friendly and convenient access to a computer in real-time operation.

Icon and Form: A Study on Iconic Images of Cultural Revolution in Contemporary Chinese Fine Art (도상과 형상: 중국현대미술에서 문혁의 도상이미지 연구)

  • Li, Yongri
    • The Journal of Art Theory & Practice
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    • no.16
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    • pp.225-256
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    • 2013
  • As the great catastrophe in the modern and contemporary history of China, the Cultural Revolution(CR) is an object, which must have sutured the past of darkness. At the same time it is a continuous event and also a scar of memory. In other words, for history is "a dialog between the past and the reality"(E.H.Kar), CR intervenes in the reality and, on the contrary, the reality recomposes CR. From this point of view, CR is a historical event, which so far is not ended, and it is an object of memory, which is still being composed at the moment. As the saying: "Poetry is greater than history"(Aristoteles), artistic works more intensively reflect the past. The works related to CR can not be an exception. And CR is endlessly exposed in the contemporary Chinese fine arts and the works of the contemporary Chinese artists-Wang Guangyi, Yue Minjun, Zhang Xiaogang and others are proved to be those who suffer from the trauma of CR and who feel no liberty from CR. For example, CR probably is a symbol showing the "identity" of the Chinese artists. And the diversity of the symbol is the experience and pattern of the dialog between artistic works and CR (i.e., intervention in reality). For example, with withering of grand-narrative and appearance of micro-narrative, the CR critical works of Guan Zhoudao were the root of the Chinese fine arts in the late 70s and early 80s. In the contemporary cultural situation, the literary works about CR actively analyzed the history (CR) from the personal point of views and explained in the way of monolog and micro-method led the 1990s' works. In this way they tried to recompose the history "randomly", like looking at reality with their own eyes. In this process, CR is continuously exposing new features and the real facts are appearing before us as unfamiliar phenomena. This is a way of combination and "reappearance" of contemporary arts and reality. In conclusion, the purpose of this article is to make it possible to see a section of the contemporary Chinese fine arts through the study of the icon image of CR and to analyze the way of fine arts recomposing the history and the intervening in the reality. In this sense, the author has entitled the article "Icon and Form". It means how to reshape (the present) the typically formed icon of the CR (the past).

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Timely Sensor Fault Detection Scheme based on Deep Learning (딥 러닝 기반 실시간 센서 고장 검출 기법)

  • Yang, Jae-Wan;Lee, Young-Doo;Koo, In-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.1
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    • pp.163-169
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    • 2020
  • Recently, research on automation and unmanned operation of machines in the industrial field has been conducted with the advent of AI, Big data, and the IoT, which are the core technologies of the Fourth Industrial Revolution. The machines for these automation processes are controlled based on the data collected from the sensors attached to them, and further, the processes are managed. Conventionally, the abnormalities of sensors are periodically checked and managed. However, due to various environmental factors and situations in the industrial field, there are cases where the inspection due to the failure is not missed or failures are not detected to prevent damage due to sensor failure. In addition, even if a failure occurs, it is not immediately detected, which worsens the process loss. Therefore, in order to prevent damage caused by such a sudden sensor failure, it is necessary to identify the failure of the sensor in an embedded system in real-time and to diagnose the failure and determine the type for a quick response. In this paper, a deep neural network-based fault diagnosis system is designed and implemented using Raspberry Pi to classify typical sensor fault types such as erratic fault, hard-over fault, spike fault, and stuck fault. In order to diagnose sensor failure, the network is constructed using Google's proposed Inverted residual block structure of MobilieNetV2. The proposed scheme reduces memory usage and improves the performance of the conventional CNN technique to classify sensor faults.

Fabrication of Face Molds and Silicone Masks using 3D Printing (3D 프린팅을 이용한 얼굴 몰드 및 실리콘 마스크 제작)

  • Choi, Yea-Jun;Shin, Il-Kyu;Choi, Kanghyun;Choi, Soo-Mi
    • Journal of KIISE
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    • v.43 no.5
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    • pp.516-523
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    • 2016
  • For old-age makeups, makeup artists first make a mold cast of an actor's face using plaster and then sculpt wrinkles in clay on the plaster mold. After finishing the clay sculpture, its negative plaster mold is fabricated and silicone skin patches are finally made for application to the actor's face. This process takes a few days and is tedious for actors and makeup artists. With recent advances in 3D printing and scanning technology, it is becoming easier to scan and fabricate 3D faces. This paper presents a new pipeline composed of facial scanning, interactive wrinkle modeling, and mold printing stages to easily and efficiently fabricate silicone masks for old-age makeups without the use of plaster and clay. An intuitive sketch interface based on a normal map is proposed for the creation of wrinkles in real time, even with a high-resolution face model. Then the geometry of the final wrinkles is reconstructed using a depth map and the negative mold of the wrinkled face is printed. We also show that the presented pipeline can fabricate a silicone mask more conveniently than the traditional one that consists of pouring silicone into the prepared negative mold and then overlapping the mold with the original positive one.

Crepe Search System Design using Web Crawling (웹 크롤링 이용한 크레페 검색 시스템 설계)

  • Kim, Hyo-Jong;Han, Kun-Hee;Shin, Seung-Soo
    • Journal of Digital Convergence
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    • v.15 no.11
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    • pp.261-269
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    • 2017
  • The purpose of this paper is to provide a search system using a method of accessing the web in real time without using a database server in order to guarantee the up-to-date information in a single network, rather than using a plurality of bots connected by a wide area network Design. The method of the research is to design and analyze the system which can search the person and keyword quickly and accurately in crepe system. In the crepe server, when the user registers information, the body tag matching conversion process stores all the information as it is, since various styles are applied to each user, such as a font, a font size, and a color. The crepe server does not cause a problem of body tag matching. However, when executing the crepe retrieval system, the style and characteristics of users can not be formalized. This problem can be solved by using the html_img_parser function and the Go language html parser package. By applying queues and multiple threads to a general-purpose web crawler, rather than a web crawler design that targets a specific site, it is possible to utilize a multiplier that quickly and efficiently searches and collects various web sites in various applications.

Analysis of Status and Demand of Participation in Lifelong Education of Low-Income Class (저소득층의 평생교육 참여 실태와 요구 분석)

  • Kim, Hyeon Seong;Kim, Jin Sook
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.2
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    • pp.89-96
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    • 2018
  • This study analyzed status and demand of participation in lifelong education for 218 residents of low-income class according to National Basic Livelihood Security Act. The results of the study are as follows. First, among the statuses of participation in lifelong education, the abilities to study of the low-income class were reviewed. They showed 95.3% of foreign language ability, 66.1% of ICT utilization capacity and 75.7% of computer literacy ability. And the lifelong education participation rate of low-income people was 75.7% It was considered as passive participation in education. Voluntary participation was identified and analyzed. The the actual participation rate in lifelong education was very low at 22.9%. Social participation and awareness according to participation in lifelong education was 43.3% higher than that of respondents who had no participation experience. Especially, voluntary participants showed 73.3% higher than those who did not participate. Second, as a result of analyzing lifelong education of low income class, 74.8% of the respondents answered that there is wished education program. And 50.0% of them could not participate because they did not have enough time. The programs that they wanted to participate in were the programs that could help their real lives such as home life, health and medical courses, professional qualification obtaining process, etc. This indicates that the income level plays a significant role in participation in lifelong education. As a result of analyzing the results of this study above, Korean lifelong education is emphasized and the participation rate is increasing rapidly. However, participation of low-income class in lifelong education seems low.

Seamless Superimposition Technique of Virtual Objects for AR System of Excavator Based on Image Processing (굴삭기 AR 시스템을 위한 이미지 프로세싱 기반 가상 이미지 중첩 기술)

  • Lee, Kanghyeok;Park, Joohwan;Kang, Hojun;Shin, Dohyoung
    • Korean Journal of Construction Engineering and Management
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    • v.18 no.2
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    • pp.21-29
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    • 2017
  • Recently, with having a great interest of the general public for the AR (Augmented Reality) technology, there have been lots of study to improve efficiency of a construction equipment with applying the AR technology to a construction equipment. The clear extrinsic calibration is essential to applying AR technology at the construction site without any error which came from superimposition between 'Real world' and 'Virtual world'. However, on the construction site, the clear extrinsic calibration is not possible, because of lack of time and budget for the specific survey, also, the huge error of the outdoor tracking system such as gyro, GPS system and so on. In this study, we do research about seamless superposition with unclear extrinsic calibration and the image process method for making AR navigator operating in the excavator. Based on this study, we figure that we can fully develop the AR navigator for the excavator. Furthermore, thereby operating AR navigator at many construction sites, we expect that the efficiency of the excavator will be improved. In addition, we can develop AR navigator for not only a excavator but all about construction equipment.

Design of Software Quality Evaluation Model for IoT (IoT 기반 SW 품질평가 모델)

  • Chung, Su-min;Choi, Jae-hyun;Park, Jea-won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.7
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    • pp.1342-1354
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    • 2016
  • As Internet, and hardware technology are in rapid process, using rate and penetration rate of Internet of Things are increasing. Internet of Things is the physical objects with network which embedded with electronics, software, sensors, and network. Smart Home-kit to operate refrigerators, washing machines, light bulbs, and such internet of things by a smartphone has been realized. However, it is difficult to use a good quality of software based on IoT. It is because that the study related to quality evaluation of software based on IoT is deficient compared with increase amount of IoT devices. Software based on IoT includes mobility, transportability, real time accessibility and hardware characteristics. Therefore, it is necessary to have differentiated quality standards and quality model. Software quality evaluation model for IoT is proposed to satisfy these needs. Evaluation model is mapped by characteristics of IoT software based on ISO/IEC 25000's quality characteristics. Scenario based studies were applied to quality model for verification.

A Reconfigurable Mixed-Model Assembly System of Cockpit Module using RFID/ZigBee Protocol (RFID/ZigBee 프로토콜을 활용한 가변구조 혼합형 모델 칵핏모듈 조립생산 시스템)

  • Koo, Ja-Rok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.12
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    • pp.8940-8947
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    • 2015
  • Mixed-model assembly line has been widely used in automotive assembly industry to quickly respond the diverse product demands. But, this model can lead to part confusion, which is a source for assembly errors when parts are physically interchangeable in a mixed-model assembly line. With the recent application of new technologies such as radio frequency identification (RFID) and ZigBee wireless sensor network (WSN) to the assembly process, real-time information has become available in this manufacturing systems through IT infrastructures. At first, this paper presents an RFID application for assembly processes, specifically, for a mixed-model assembly line. Thus, to ensure that parts be picked accurately, each cockpit module on the assembly line is attached with a RFID tag and the tag is scanned using a RFID reader and recognizes the vehicle, and each part of the cockpit module is attached with a barcode and the barcode is scanned by a barcode reader and each part is identified correctly for the vehicle. Second, this paper presents a ZigBee wireless sensor network (WSN) protocol-based application for a reconfigurable mixed-model assembly line of cockpit module to reduce the assembly errors and the cost of the change/reconfiguration on the assembly lines due to the various orders and new models from the motor company, avoiding the wiring efforts and inconvenience by wiring between the several RFID devices and the IT server system. Finally, we presents the operation results for several years using this RFID/ZigBee wireless sensor network (WSN) protocol-based cockpit module assembly line.