• Title/Summary/Keyword: Efficiency of operations

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Study on 2.5D Map Building and Map Merging Method for Rescue Robot Navigation (재난 구조용 로봇의 자율주행을 위한 지도작성 및 2.5D 지도정합에 관한 연구)

  • Kim, Su Ho;Shim, Jae Hong
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.4
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    • pp.114-130
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    • 2022
  • The purpose of this study was to investigate the possibility of increasing the efficiency of disaster relief rescue operations through collaboration among multiple aerial and ground robots. The robots create 2.5D maps, which are merged into a 2.5D map. The 2.5D map can be handled by a low-specification controller of an aerial robot and is suitable for ground robot navigation. For localization of the aerial robot, a six-degree-of-freedom pose recognition method using VIO was applied. To build a 2.5D map, an image conversion technique was employed. In addition, to merge 2.5D maps, an image similarity calculation technique based on the features on a wall was used. Localization and navigation were performed using a ground robot to evaluate the reliability of the 2.5D map. As a result, it was possible to estimate the location with an average and standard error of less than 0.3 m for the place where the 2.5D map was normally built, and there were only four collisions for the obstacle with the smallest volume. Based on the 2.5D map building and map merging system for the aerial robot used in this study, it is expected that disaster response work efficiency can be improved by combining the advantages of heterogeneous robots.

Development of the Altari Radish Pre-Processing System for Kimchi Production (IV) - Automation and Evaluation of the Prototype Machine - (김치생산용 알타리무 전처리가공시스템 개발 (IV) - 시작기의 자동화와 평가 -)

  • Min Y.B.;Kim S.T.;Chung T.S.;Kang D.H.;Moon S.W.
    • Journal of Biosystems Engineering
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    • v.31 no.2 s.115
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    • pp.121-127
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    • 2006
  • An Altari radish pre-processing system, which feasible to process automatically such operations as leaf and root tail cutting and root peeling, for kimchi production was accomplished based on the foregone serial studies. In this study, the performances of the developed prototype machine, considered as a commercializing level, were analyzed and evaluated. The prototype machine attached Tiny PLC automatic control system was performed the sequent function as the rate of successful peeling was more than 98% for the Altari radish less than 70 mm diameter of a radish. The operating efficiency of this was 9 see/each, 128 kg/h, and it means as much as $5{\sim}6$ times that of a woman labor's. The sanitation and taste of the mechanized-processed Altari radish kimchi was almost same as that of the handmade. And they were suitable for manufactory of kimchi as the both short term ripening and storing kimchi. Developed machinery with one peeling device and two peeling devices that compared with hand processing, it was analyzed that the break-even yearly working days were 28 days and 19 days, and the break-even yearly processing amount were 28,700 kg, 32,400 kg, respectively.

Joint Behavior of Concrete Pavements Using Joint Crack Inducer (줄눈균열 유도장치를 사용한 콘크리트 포장의 줄눈거동)

  • Park, Moon Gil;Choi, Ki Hyo;Nam, Young Kug;Jeong, Jin Hoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.1D
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    • pp.57-65
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    • 2008
  • Joint of concrete pavement contributes to improvement of pavement performance by preventing occurrence of random cracking due to drying shrinkage and temperature changes of concrete slabs at early age. However, saw-cutting operations performed prior to sufficient concrete hardening develop micro-cracking of the concrete near the joints, which may develop to long-term distresses due to repetitious traffic and environmental loadings. To reduce the distresses, the joint crack inducers with heights of 100 mm, 150 mm, and 220 mm and the joint cracking slots with various depth were installed at a test section to investigate occurrence of the joint cracks and their behaviors over 5 months. As the results, higher efficiency of the crack inducing and larger behavior of the joint cracks were observed for the taller joint crack inducer. Higher efficiency of the crack inducing and improvement of the joint performance are warranted by additional investigation and reformation of the joint crack inducer.

Development a scheduling model for AGV dispatching of automated container terminals (자동화 컨테이너 터미널의 AGV 배차 스케줄링 모형 개발)

  • Jae-Yeong Shin;Ji-Yong Kwon;Su-Bin Lee
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.59-60
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    • 2023
  • The automation of container terminals is an important factor that determines port competitiveness, and global advanced ports tend to strengthen their competitiveness through container terminal automation. The operational efficiency of the AGV, which is an essential transport equipment of the automated terminal, can improve the productivity of the automated terminal. The operation of AGVs in automated container terminals differs from that of conventional container terminals, as it is based on an automated system in which AGVs travel along designated paths and operate according to assigned tasks, requiring consideration of factors such as workload, congestion, and collisions. To prevent such problems and improve the efficiency of AGV operations, a more sophisticated model is necessary. Thus, this paper proposes an AGV scheduling model that takes into account the AGV travel path and task assignment within the terminal The model prevent the problem of deadlock and. various cases are generated by changing AGV algebra and number of tasks to create AGV driving situations and evaluate the proposed algorithm through algorithm and optimization analysis.

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A High Performance Transmission Method for Massively Delivering Multimedia Data in WMSN (무선 멀티미디어 센서 네트워크(WMSN) 환경에서 멀티미디어 데이터 전송을 위한 대용량 전송 기법에 대한 연구)

  • Lee, Jae-Ho;Eom, Doo-Seop
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37A no.11
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    • pp.903-917
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    • 2012
  • For transmitting sensed data, wireless sensor networks have been developed and researched for the improvement of energy efficiency, hence, many MAC protocols in WSN employ the duty cycle mechanism. Since the progressed development of the low power transceiver and processor let the high energy efficiency come true, the delivery of the multimedia data which occurs in area of sensor work should be needed to provide supplemental information. In this paper, we design a new scheme for massive transmission of large multimedia data where the duty cycle is used in contention based MAC protocol, for WMSN. The proposed scheme can be applied into the previous duty cycle mechanism because it provides two operation between normal operation and massive transmission operation. Measuring the buffer status of sender and the condition of current radio channel can be criteria for the decision of the above two operations. This paper shows the results of the experiment by performing the simulation. The target protocol of the experiment is X-MAC which is contention based MAC protocol for WSN. And two approaches, both X-MAC which operates only duty cycle and X-MAC which operates combined massive transmission scheme, are used for the comparative experiment.

Effectiveness Analysis of Variable Speed Limit Systems(VSL) in Work Zones based on Meta-analysis (메타분석을 이용한 공사구간 가변속도제한시스템(VSL) 효과분석)

  • Jo, Young;Youn, Seok-min;Oh, Cheol
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.4
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    • pp.91-103
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    • 2016
  • The work zone traffic management is of keen interest because the unstable traffic stream in work zones leads to not only less productive traffic operational efficiency but also negative impacts on traffic safety. A promising method to address such issues is variable speed limit systems(VSLS). VSLS is expected to increase in throughput and to enhance safety by diminishing the crash potential. In addition, the usefulness of VSLS has been demonstrated by significant amount of existing literature. The objective of this study is to identify the effectiveness of VSLS based on a meta analysis technique. Throughput and travel speed were used as measures of effectiveness for VSLS in terms of the operational efficiency and safety respectively. Results showed that approximately 16.4% increase in throughput and 16.5% decrease in travel speed were obtainable by VSLS. The outcomes of this study would be useful in developing technologies and polices for better operation of VSLS.

A Study on Methods to Increase the Efficiency of Natural Disaster Early Warning Systems (자연재해 예·경보시스템의 효율성 제고방안에 관한 연구)

  • Seo, Jung Pyo;Cho, Won Cheol
    • Journal of Korean Society of Disaster and Security
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    • v.6 no.1
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    • pp.19-27
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    • 2013
  • Damage on assets and lives caused by natural disasters can be minimized by the provision of early warning information and preventive activities. In this sense, the importance of a disaster early warning system continues to increase. This study specifies the kinds of early warning systems depending on the type of natural disasters such as typhoon, flood and heavy snow. The mechanism for information transmission and status of early warning operations are analyzed. Through this analysis, the urgent need to establish a national integrated early warning transmission system is emphasized. In addition, this study offers methods to prevent unnecessary overlapping of investments by establishing an organic mechanism among individual early warning systems. Based on the standardization of disaster-related information, this study also provides methods to improve the efficiency of disaster early warning systems by organizing a permanent team for handling the systematic management and operation of the system.

A Fast CU Size Decision Optimal Algorithm Based on Neighborhood Prediction for HEVC

  • Wang, Jianhua;Wang, Haozhan;Xu, Fujian;Liu, Jun;Cheng, Lianglun
    • Journal of Information Processing Systems
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    • v.16 no.4
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    • pp.959-974
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    • 2020
  • High efficiency video coding (HEVC) employs quadtree coding tree unit (CTU) structure to improve its coding efficiency, but at the same time, it also requires a very high computational complexity due to its exhaustive search processes for an optimal coding unit (CU) partition. With the aim of solving the problem, a fast CU size decision optimal algorithm based on neighborhood prediction is presented for HEVC in this paper. The contribution of this paper lies in the fact that we successfully use the partition information of neighborhood CUs in different depth to quickly determine the optimal partition mode for the current CU by neighborhood prediction technology, which can save much computational complexity for HEVC with negligible RD-rate (rate-distortion rate) performance loss. Specifically, in our scheme, we use the partition information of left, up, and left-up CUs to quickly predict the optimal partition mode for the current CU by neighborhood prediction technology, as a result, our proposed algorithm can effectively solve the problem above by reducing many unnecessary prediction and partition operations for HEVC. The simulation results show that our proposed fast CU size decision algorithm based on neighborhood prediction in this paper can reduce about 19.0% coding time, and only increase 0.102% BD-rate (Bjontegaard delta rate) compared with the standard reference software of HM16.1, thus improving the coding performance of HEVC.

Prediction Oil and Gas Throughput Using Deep Learning

  • Sangseop Lim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.5
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    • pp.155-161
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    • 2023
  • 97.5% of our country's exports and 87.2% of imports are transported by sea, making ports an important component of the Korean economy. To efficiently operate these ports, it is necessary to improve the short-term prediction of port water volume through scientific research methods. Previous research has mainly focused on long-term prediction for large-scale infrastructure investment and has largely concentrated on container port water volume. In this study, short-term predictions for petroleum and liquefied gas cargo water volume were performed for Ulsan Port, one of the representative petroleum ports in Korea, and the prediction performance was confirmed using the deep learning model LSTM (Long Short Term Memory). The results of this study are expected to provide evidence for improving the efficiency of port operations by increasing the accuracy of demand predictions for petroleum and liquefied gas cargo water volume. Additionally, the possibility of using LSTM for predicting not only container port water volume but also petroleum and liquefied gas cargo water volume was confirmed, and it is expected to be applicable to future generalized studies through further research.

Tonality Detection based on Spectrum Energy in Perceptual Audio Coder (지각 오디오 부호화기에서의 스펙트럼 에너지 기반 톤 성분 검출 알고리듬)

  • 이근섭;연규철;박영철;윤대희
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.6C
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    • pp.770-776
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    • 2004
  • The goal of perceptual audio coder is to reduce redundancy and irrelevancy of audio signal based on the concept of masking. Several studies on masking effect reveal that the masking threshold varies as a function of the noise-like or tone-like nature of audio signals. Therefore, tonality of audio signal influences significantly the quality and efficiency of perceptual audio coder In this paper, we propose a new effective algorithm for tonality measure using spectrum energy. Since the proposed algorithm consists of a few transcendental functions and simple operations, it has lower complexity than MPEG psychoacoustic model-II. The proposed algorithm was tested with some audio signals, and DSP implementation showed that the proposed algorithm could be implemented with 3 MIPS. These results illustrate the efficiency of proposed algorithm in both performance and complexity.