• Title/Summary/Keyword: ATMS

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지능형 도시교통관리 체계(ATMS)의 시스템 구성 및 제공 서비스

  • 이영인
    • The Magazine of the IEIE
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    • v.24 no.2
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    • pp.41-49
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    • 1997
  • 본 논문에서는 전자, 통신, 제어, 컴퓨터공학 등의 첨단기술을 교통공학에 응용하여 기존의 도로 효율성을 극대화 시키는 방안으로 제시되고 있는 첨단 교통체계(ITS)연구의 기반시스템인 지능형 교통관리체계(ATMS)의 시스템 구성 및 제공서비스를 개관하였다. 연구범위는 ATMS의 개념 및 정의, 시스템의 기능적 요구사항 및 기본구상, 그리고 제공서비스의 종류를 살펴보았다. 향후 지능형 교통관리체계는 대도시 교통 소통을 완화시키는 방안으로서 도시가로에 영향을 미치는 교통정보 제공시스템, 주행안내시스템, 대중교통 및 화물운송 체계 등과 연계되는 종합교통체계 구축의 기반이 될 것으로 기대된다.

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Hydrocarbon Synthesis of Waste Lignocellulosics by Liquefaction Reaction of Thermochemical Deoxyhdrogenolysis Method (II) (목질폐재(木質廢材)의 열(熱)-화학적(化學的) 탈(脫)산소-수소첨가반응(환원반응)에 의한 액화(液化)탄화수소의 합성 (II))

  • Lee, Byung-Guen
    • Journal of the Korean Wood Science and Technology
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    • v.19 no.4
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    • pp.80-84
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    • 1991
  • Lignocellulosic biomass including acetosolv ricestraw and spruce lignin were liquefied and converted into liquid hydrocarbons by catalytic hydroliquefaction reaction. These experimental works were carried out in 1-liter-capacity autoclave using 50% tetralin and m-cresol solution respectively as soluble solvent and Ni. Pd. Fe and red mud as catalyst. $H_2$ gas was supplied into the reactor for escaltion of deoxhydroenolysis reaction. Catalyst concentrations were 1 % of raw material based on weight. The ratio between raw materials and soluble solvent are 1g and 10cc. The reaction conditions are 400-$700^{\circ}C$ of reaction temperature, 10-50 atms of reaction pressure. The highest yield of hydrocarbon, so called "product oil" showed 32% and 5.5% of lowest char formation when red mud was used as catalyst. The product oil yields from those of other catalysts were in the range of 20-29%. The influence of different initial hydrogen pressures was examined in the range d 30-50 atms. A minimum pressure of 35 atms was necessary to obtain a complete recovery of souble solvent for recycling.

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Diagnostics of Observation Error of Satellite Radiance Data in Korean Integrated Model (KIM) Data Assimilation System (한국형수치예보모델 자료동화에서 위성 복사자료 관측오차 진단 및 영향 평가)

  • Kim, Hyeyoung;Kang, Jeon-Ho;Kwon, In-Hyuk
    • Atmosphere
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    • v.32 no.4
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    • pp.263-276
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    • 2022
  • The observation error of satellite radiation data that assimilated into the Korean Integrated Model (KIM) was diagnosed by applying the Hollingsworth and Lönnberg and Desrozier techniques commonly used. The magnitude and correlation of the observation error, and the degree of contribution for the satellite radiance data were calculated. The observation errors of the similar device, such as Advanced Technology Microwave Sounder (ATMS) and Advanced Microwave Sounding Unit-A shows different characteristics. The model resolution accounts for only 1% of the observation error, and seasonal variation is not significant factor, either. The observation error used in the KIM is amplified by 3-8 times compared to the diagnosed value or standard deviation of first-guess departures. The new inflation value was calculated based on the correlation between channels and the ratio of background error and observation error. As a result of performing the model sensitivity evaluation by applying the newly inflated observation error of ATMS, the error of temperature and water vapor analysis field were decreased. And temperature and water vapor forecast field have been significantly improved, so the accuracy of precipitation prediction has also been increased by 1.7% on average in Asia especially.

A City Path Travel Time Estimation Method Using ATMS Travel Time and Pattern Data (ATMS 교통정보와 패턴데이터를 이용한 도시부도로 통행시간 추정방안 연구)

  • KIM, Sang Bum;KIM, Chil Hyun;YOO, Byung Young;KWON, Yong Seok
    • Journal of Korean Society of Transportation
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    • v.33 no.3
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    • pp.315-321
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    • 2015
  • ATMS calculates section travel time using two-way communication system called DSRC(Dedicated Short Range Communications) which collects data of RSE (Road Side Equipment) and Hi-pass OBU (On-board Unit). Travel time estimation in urban area involves uncertainty due to the interrupted flow. This study not only analyzed real-time data but also considered pattern data. Baek-Je-Ro street in Jeon-Ju city was selected as a test site. Existing algorithm was utilized for data filtering and pattern data building. Analysis results repoted that travel time estimation with 20% of real-time data and 80% of pattern data mixture gave minimum average difference of 37.5 seconds compare to the real travel time at the 5% significant level. Results of this study recommend usage of intermixture between real time data and pattern data to minimize error for travel time estimation in urban area.

A Detection Method of Contradictory Informations in a Rule-based Inference System (규칙 기반 추론 시스템에서 모순 정보의 검출 기법에 관한 연구)

  • 우영운;한수환;박충식
    • Journal of Intelligence and Information Systems
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    • v.7 no.1
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    • pp.161-175
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    • 2001
  • In this paper, a detection method of contradiction between input informations is proposed when the inference is processed in rule-based systems. The proposed method is accomplished by improving the label representation and the label management scheme in a conventional ATMS(Assumption-based Truth Maintenance System). The Proposed method also can represent and process input informations having uncertainty values.

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Simulation for Defect Diagnosis in Belt Transport System (벨트 이송 시스템의 결함 진단을 위한 시뮬레이션)

  • Lee, Nam-Hoon;Lyu, Sang-Heon;Ihn, Yong-Seok;Choi, Yeon-Sun;Koo, J.C.
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.16 no.4 s.109
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    • pp.366-371
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    • 2006
  • As functional requirements of automatic office machines like printers, Automatic Tellex Machines(ATMs), copying machines are on a trend for the higher speed and precision, extensive technical advances are being developed and implemented in the industry. Media transport system is a device to convey a sheet of paper in ATMs and printers. The stability of media transport system is a matter of concern as their operating throughput rapidly increases. And defects of belts or rollers in a transport system directly affect the level of stability of the system. Therefore an automatic diagnostic system for predicting various defects is necessary for the stable operation of the media transport system. A simulation based on multi-body dynamics has been done for a feasibility study of a system design for the defect anticipation.

Simulation for Automatic Diagnosis of Defect in Media Transport System (유연매체 이송 시스템의 고장 진단을 위한 Simulation)

  • Lee, Nam-Hoon;Lyu, Sang-Heon;Koo, J.C.;Choi, Yeon-Sun
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2005.11a
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    • pp.564-568
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    • 2005
  • As functional requirements of automatic office machines like printers, ATMs, copying machines are on a trend for the higher speed and precision, extensive technical advances are being developed and implemented in the industry. Media transport system is a device to convey a sheet of paper in ATMs and printers. The stability of media transport system is a matter of concern as their operating throughput rapidly increases. And defects of belts or rollers in a transport system directly affect the level of stability of the system. Therefore an automatic diagnostic system for predicting various defects is necessary for the stable operation of the media transport system. A simulation based on multi-body dynamics has been done for a feasibility study of a system design for the defect anticipation.

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Distributed Assumption-Based Truth Maintenance System for Scalable Reasoning (대용량 추론을 위한 분산환경에서의 가정기반진리관리시스템)

  • Jagvaral, Batselem;Park, Young-Tack
    • Journal of KIISE
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    • v.43 no.10
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    • pp.1115-1123
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    • 2016
  • Assumption-based truth maintenance system (ATMS) is a tool that maintains the reasoning process of inference engine. It also supports non-monotonic reasoning based on dependency-directed backtracking. Bookkeeping all the reasoning processes allows it to quickly check and retract beliefs and efficiently provide solutions for problems with large search space. However, the amount of data has been exponentially grown recently, making it impossible to use a single machine for solving large-scale problems. The maintaining process for solving such problems can lead to high computation cost due to large memory overhead. To overcome this drawback, this paper presents an approach towards incrementally maintaining the reasoning process of inference engine on cluster using Spark. It maintains data dependencies such as assumption, label, environment and justification on a cluster of machines in parallel and efficiently updates changes in a large amount of inferred datasets. We deployed the proposed ATMS on a cluster with 5 machines, conducted OWL/RDFS reasoning over University benchmark data (LUBM) and evaluated our system in terms of its performance and functionalities such as assertion, explanation and retraction. In our experiments, the proposed system performed the operations in a reasonably short period of time for over 80GB inferred LUBM2000 dataset.

Object-oriented real-time system modeling considering predicatable timing constraints (시간 제약 분석이 가능한 객체 지향 실시간 시스템 모델링)

  • 김영란;권영희;홍성백;박용문;구연설
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.8
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    • pp.1937-1947
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    • 1996
  • In the case of developing the real-time system using object-oriented method, k the problem of the timing constraints is certainly considered. we propose the method of modeling the object-oriented real-time system using the OMT methodology and the SDL. And we also present the predictable time table that reflects the constraints of real-time system into dynamic model of OMTs and the predicatable time formula of the sequence, repeat, and parallel routine. The proposed method is applied to the estimate of the maximum process time of the ATMs(Automatic teller machines) and is used to specifying the functional specification for the user interface of the ATMs using the SDL syntax and the object interaction graph.

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The Effect of Institutional Quality on Financial Inclusion in ASEAN Countries

  • NGUYEN, Yen Hai Dang;HA, Dao Thieu Thi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.421-431
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    • 2021
  • This study investigates the empirical linkages between ASEAN countries' institutional quality and financial inclusion using country data from 2008-2019. In this paper, six governance indicators from the World Governance index are used to measure the impact of institutions on financial inclusion. The PCA method's financial inclusion index is constructed from 3 indicators: penetration, access, and usage: penetration, access, and usage with six indices respectively as the number of ATMs per 1000 km2, the number of bank branches per 1000 km2, the number of ATMs per 100,000 people and the number of bank branches for 100,000 adults, the ratio of credit to private to GDP, and the ratio of deposit to private to GDP. Regression analysis with the Generalized Moments method shows the positive impact of institutions and other control variables like GDP per capita, inflation, bank concentration, and human development index on financial inclusion. Therefore, this study recommends that the government and policymakers in countries pursue the financial inclusion agenda to pay attention to the financial and economic indicators and institutional factors. This is because many savers, borrowers, and investors may not be protected when financial contracts are enforced or breaches occur in an environment where economic, legal, judicial, and political institutions are weak, such as in ASEAN countries.