• Title/Summary/Keyword: Transport Infrastructure

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THE ACTIVITIES OF AMALGAMATED TERRITORIAL COMMUNITIES IN THE CONTEXT OF SUSTAINABLE DEVELOPMENT OF THE ENVIRONMENT: THE EXPERIENCE OF UKRAINE AND THE EU STATES

  • Ridei, Nataliia;Bakhmat, Oleh;Plahtiy, Danylo;Polova, Olena;Holovnia, Yuliia
    • International Journal of Computer Science & Network Security
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    • v.21 no.9
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    • pp.323-331
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    • 2021
  • The relevance of the study implies the need to explain the main determinants of environmental policy, allowing countries to converge on a common working basis. The purpose of the research is to explore ways in which the environmental aspects of EU regions and territories can be shaped to apply to domestic environmental policy. A total of 997 representatives from the Ukrainian UTCs, who are involved in local environmental policy, participated in the survey. Results of the research. A hierarchy of regional environmental policy objectives has been identified. Three key principles of eco-policy development have been distinguished. The means of the innovative approach strategy implementation have been outlined (formation of the regional market of environmental services; organization of interaction between environmental agencies and market structures; establishment of environmental funds which finance environmental activities; implementation of the "collateral return" system; formation of a system of benefits and loans to enterprises that successfully implement the environmental policy). The means of the prognostic approach implementation strategy to the development of the region's environmental policy have been determined (the use of an orderly and successful long-term strategy of economic development of the region; obligatory consideration in the mechanisms strategy aimed at improvement of environmental management system of the region, interbranch impact of the projects implemented on the region's ecological situation; taking into consideration the economic and geographical peculiarities of the region, the necessary infrastructure, issues of the territorial location of the large enterprises in the region and their impact on the environment). The means of the traditional approach strategy implementation have been outlined (activity programs focused on solution of specific problems, rather than on the implementation of measures for environmental restoration and enhancement; nature conservation problems have interbranch, interdepartmental character due to unity of the region's ecosystem; tracking complexity of changing conditions (water basins, woodlands, air-mass transport), regional boundaries generally do not coincide with natural ecosystems boundaries). The practical significance of the study lies in providing recommendations for the implementation of certain aspects of Ukrainian UTC's environmental policy.

Electrical fire prediction model study using machine learning (기계학습을 통한 전기화재 예측모델 연구)

  • Ko, Kyeong-Seok;Hwang, Dong-Hyun;Park, Sang-June;Moon, Ga-Gyeong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.6
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    • pp.703-710
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    • 2018
  • Although various efforts have been made every year to reduce electric fire accidents such as accident analysis and inspection for electric fire accidents, there is no effective countermeasure due to lack of effective decision support system and existing cumulative data utilization method. The purpose of this study is to develop an algorithm for predicting electric fire based on data such as electric safety inspection data, electric fire accident information, building information, and weather information. Through the pre-processing of collected data for each institution such as Korea Electrical Safety Corporation, Meteorological Administration, Ministry of Land, Infrastructure, and Transport, Fire Defense Headquarters, convergence, analysis, modeling, and verification process, we derive the factors influencing electric fire and develop prediction models. The results showed insulation resistance value, humidity, wind speed, building deterioration(aging), floor space ratio, building coverage ratio and building use. The accuracy of prediction model using random forest algorithm was 74.7%.

A Study on a PCB Manufacturing Plant's Fire Risk Assessment due to the Mitigation of Fire Protection Zone and an Improvement Way through Estimation of Sprinkler Demand Water Flow Rate (방화구획 완화에 따른 PCB공장의 화재위험평가 및 스프링클러 요구살수유량 산정을 통한 기준개선안에 관한 연구)

  • Oh, Chan-Wook;Oh, Ryun-Seok;Choi, Jun-Ho
    • Fire Science and Engineering
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    • v.33 no.2
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    • pp.56-62
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    • 2019
  • A sprinkler is a fire extinguishing equipment installed in a protected area where a detector or head detects a fire and automatically puts out the fire. However, the Ministry of Land, Infrastructure and Transport's "Regulations on Building Evacuation and Fire Protection Standards, etc." stipulate that fire compartment area should be reduced to three times by installing sprinkler facilities in the case of factories and warehouses. In this study, fire hazard was analyzed for a real PCB factory which mitigated the fire protection zone by sprinkler installation, and the head opening characteristics of sprinkler facilities through computer simulation, installation standards of sprinkler facilities, thermal performance, operating range, and the amount of water sprayed to identify the problems of operation of sprinkler facilities in case of fire, and to suggest the grounds such as required sprinkling flow rate for system improvement.

The Development of a Collision Warning System for Small-Sized Vessels Using WAVE Communication Technology (WAVE 통신을 이용한 소형선박 충돌경보시스템 개발 연구)

  • Kang, Won-Sik;Kim, Young-Du;Lee, Myoung-Ki;Park, Young-Soo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.25 no.2
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    • pp.151-158
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    • 2019
  • Wireless communication technology (WAVE) for vehicles, which is the core technology behind the next-generation intelligent transport system (C-ITS), is used to deliver information about vehicles to prevent traffic accidents and traffic situations that may arise between vehicles and infrastructure. Similar traffic issues often arise in marine scenarios. Currently, AIS is being used as a means of transmitting information such as the status of relative vessels, but research is being carried out to solve problems with AIS such as overloading by applying wireless communication technology for vehicles to the sea. In this study, a collision warning system suitable for small-sized vessels was developed based on the marine application of WAVE for vehicles verified through prior research, and the adequacy of this collision warning system was reviewed through a practical test. It is expected that this system will contribute greatly to future e-Navigation applications or self-driving ships as well as to preventing marine accidents.

The effects of Logistics Performance Index on International Trade of Korea (교역 상대국의 물류성과지표가 한국 무역에 미치는 영향)

  • Lim, Eun Jung;Jun, Sung Hee
    • Journal of Korea Port Economic Association
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    • v.35 no.1
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    • pp.77-96
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    • 2019
  • Logistics and transportation are increasingly playing a crucial role in international trade relations. Logistics services provide sectoral connections within the local economy. The efficient logistics services facilitate the flow of products; besides ensuring safety and speed of movement, they can reduce the cost of cross-border trade. The Logistics Performance Index (LPI) evaluates the efficiency of customs, quality of transportation service, and infrastructure for overland and maritime transport in each country it covers. The objective of this article is to analyze the impact of the various LPI indicators of Korea's trading partners. The impact of LPI on trade varies according to the income level of the trading partners. The results show that an improvement in any of the components of the LPI can lead to significant growth in a country's trade flow. Exports to Korea will increase as the LPI of the trading partner country is higher. This index has a greater impact on the exports of low-income countries.

GCP Chip Automatic Extraction of Satellite Imagery Using Interest Point in North Korea (특징점 추출기법을 이용한 접근불능지역의 위성영상 GCP 칩 자동추출)

  • Lee, Kye Dong;Yoon, Jong Seong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.4
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    • pp.211-218
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    • 2019
  • The Ministry of Land, Infrastructure and Transport is planning to launch CAS-500 (Compact Advanced Satellite 500) 1 and 2 in 2019 and 2020. Satellite image information collected through CAS-500 can be used in various fields such as global environmental monitoring, topographic map production, analysis for disaster prevention. In order to utilize in various fields like this, it is important to get the location accuracy of the satellite image. In order to establish the precise geometry of the satellite image, it is necessary to establish a precise sensor model using the GCP (Ground Control Point). In order to utilize various fields, step - by - step automation for orthoimage construction is required. To do this, a database of satellite image GCP chip should be structured systematically. Therefore, in this study, we will analyze various techniques for automatic GCP extraction for precise geometry of satellite images.

Injury Severity Analysis of Truck-involved Crashes on Korean Freeway Systems using an Ordered Probit Model (순서형 프로빗 모형을 적용한 고속도로 화물차 사고 심각도)

  • Kang, Chanmo;Chung, Younshik;Chang, Yoo Jin
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.3
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    • pp.391-398
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    • 2019
  • In general, truck-involved crashes increase severity in terms of both injury level and crash impact level. Recently, although the frequency and fatality of truck-involved crashes in Korea are rising, their associative studies are very limited. Therefore, the objective of this study is to identify critical factors influencing on injury severity of truck-involved crashes on Korean freeway system. To carry out this objective, this study uses an ordered probit model (OPM) based on a 6-year crash dataset from 2012 to 2017. From the analysis, eight variables were found to have a great effect on injury severity: older driver, crash speed, rear-end collision, number of vehicles involved, drowsy driving, nighttime (0:00 to 6:00) driving, overturn or rollover, and vehicle's fire after crash. However, injury severity was less severe in crashes under snowy condition and crashes to traffic facilities (i.e., crash alone).

Traffic Flow Sensing Using Wireless Signals

  • Duan, Xuting;Jiang, Hang;Tian, Daxin;Zhou, Jianshan;Zhou, Gang;E, Wenjuan;Sun, Yafu;Xia, Shudong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.10
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    • pp.3858-3874
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    • 2021
  • As an essential part of the urban transportation system, precise perception of the traffic flow parameters at the traffic signal intersection ensures traffic safety and fully improves the intersection's capacity. Traditional detection methods of road traffic flow parameter can be divided into the micro and the macro. The microscopic detection methods include geomagnetic induction coil technology, aerial detection technology based on the unmanned aerial vehicles (UAV) and camera video detection technology based on the fixed scene. The macroscopic detection methods include floating car data analysis technology. All the above methods have their advantages and disadvantages. Recently, indoor location methods based on wireless signals have attracted wide attention due to their applicability and low cost. This paper extends the wireless signal indoor location method to the outdoor intersection scene for traffic flow parameter estimation. In this paper, the detection scene is constructed at the intersection based on the received signal strength indication (RSSI) ranging technology extracted from the wireless signal. We extracted the RSSI data from the wireless signals sent to the road side unit (RSU) by the vehicle nodes, calibrated the RSSI ranging model, and finally obtained the traffic flow parameters of the intersection entrance road. We measured the average speed of traffic flow through multiple simulation experiments, the trajectory of traffic flow, and the spatiotemporal map at a single intersection inlet. Finally, we obtained the queue length of the inlet lane at the intersection. The simulation results of the experiment show that the RSSI ranging positioning method based on wireless signals can accurately estimate the traffic flow parameters at the intersection, which also provides a foundation for accurately estimating the traffic flow state in the future era of the Internet of Vehicles.

DEVELOPMENT TRENDS OF THE DIGITAL ECONOMY: E-BUSINESS, E-COMMERCE

  • Volkova, Nelia;Kuzmuk, Ihor;Oliinyk, Nataliia;Klymenko, Iryna;Dankanych, Andrii
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.186-198
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    • 2021
  • The introduction of digital technologies affects most socio-economic processes and activities in the economy, from agriculture to public services. Even though the world is currently only in the early stages of digital transformation, the digital economy is growing rapidly, especially in developing countries. Shortly, digital platforms will be able to replace the "invisible hand" of the market and turn it into digital. Some digital platforms have already reached global reach in some sectors of the economy. The growing value of data and artificial intelligence is reflected in the high capitalization of these enterprises. Their growing role has far-reaching consequences for the organization of economic activity and integration into the field of e-business. However, their importance and level of development in different countries differ significantly. The main purpose of this article is an assessment of the level and trends of the digital economy in the world and the identification of homogeneous groups of states following the main trends in the development of its components from among the EU countries. The methodology of the conducted research is based on the use of general scientific research methods in the analysis of secondary sources and the application of statistical methods of correlation-regression and cluster analysis. Macroeconomic indicators and components of DESI (Digital Economy and Society Index) were used for the analysis. Results. Based on the analysis established that most developed countries have a medium level of digitalization of the business environment and a high level of digitalization of socially oriented public services, while countries with lower GDP focus their policies on building digital infrastructure and training qualified personnel. The study summarizes and analyzes current trends in digital technology, analyzes the level and dynamics of integration of digital technologies of the studied EU countries, the level of development of e-business and e-commerce. The conceptualization of mechanisms of creation of added value in the digital economy is offered and the possible consequences of digitalization of the economy of developing countries are generalized.

Integrated Analytical-Numerical Approach to Compute the Energy on Rock-fall Protection Fence (해석적-수치해석적 방법을 통한 낙석방지울타리에 작용하는 에너지 분석)

  • Kim, Hee Su;Hwang, Youngcheol;Jang, Hyun-Ick;Ban, Hoki
    • Journal of the Korean GEO-environmental Society
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    • v.20 no.12
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    • pp.57-64
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    • 2019
  • A man-made slope has been increased due to the construction of road. This slope lies at risk of rock falling, induced mostly by heavy rainfall. The MOLIT (Ministry of Land, Infrastructure and Transport) recommends the specific dimension of rockfall protection fence (post, wire-rope, and mesh) which should resist 48~61 kJ. However, the energy absorption capacity of each component of rockfall protection fence is not clearly presented. Hence, this study made an effort to compute the energy absorption capacity of each component in analytical and numerical method, and compared with each other.