• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.5
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• pp.1-18
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• 2023

With the recent developments in big data and deep learning, a variety of traffic information is collected widely and used for traffic operations. In particular, long short-term memory (LSTM) is used in the field of traffic information prediction with time series characteristics. Since trends, seasons, and cycles differ due to the nature of time series data input for an LSTM, a trial-and-error method based on characteristics of the data is essential for prediction models based on time series data in order to find hyperparameters. If a methodology is established to find suitable hyperparameters, it is possible to reduce the time spent in constructing high-accuracy models. Therefore, in this study, a traffic information prediction model is developed based on highway vehicle detection system (VDS) data and LSTM, and an impact assessment is conducted through changes in the LSTM evaluation indicators for each hyperparameter. In addition, a methodology for finding hyperparameters suitable for predicting highway traffic information in the transportation field is presented.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.62-65
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• 2010

ITS(Intelligent Transportation System) is in order to better operate the public transportation. The thesis purpose to introduce how does city buses and underground vehicles input in server-side controls to connecting these two parts, that achieve share information between them. Ready provision of reliable, up-to-date and accurate transport information contributes towards efficient road use, better traffic flow, greater road safety and improved accessibility and promote efficiency in the city.

• Current Industrial and Technological Trends in Aerospace
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• v.8 no.1
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• pp.12-22
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• 2010

The great recession which caused by financial crisis made steep rise of oil price and the serious problems of the aircraft industry. High oil price increases operating cost and the recession decreases air traffic. After a period of high book order and delivery from global economic recovery, the aircraft order fell down suddenly. Also the Aircraft price and lease rate deceased and the MRO market is reduced, too. But, the air cargo and passenger increase again since late of 2009. So, it is difficult to predict the market movement, most of the forecasters agreed that the air traffic and aircraft demand will grow gradually in long term with the growth of emerging markets like China, India and Africa. And more efficient, safe and clean aircraft is needed and will need in the market.

• Journal of Korea Multimedia Society
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• v.17 no.12
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• pp.1503-1510
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• 2014

This study will examine the consolidation that is occurring in the shipping industry and its effects on Busan's status as a key transshipment hub in Southeast Asia as well as what measures the port must implement to attract transshipment traffic. With this in mind heading forward, trends in transshipment cargo, problems facing the port, as well as the current status of transshipment volumes at the Port of Busan must be fully understood so that thorough research can be done into appropriate measures to stimulate growth and attract cargo traffic. In this study, We analyze the current problems and status of transshipment cargo at Busan Port and factors affecting the competitiveness of transshipment cargo at Busan New Port, Korea's key import/export gateway, have been examined. We show the Strategies to Attract Transshipment Cargo at the Busan New Port which is to become a an optimal transshipment port, a port's internal environment including the scale and location of its hinterland, facilities and tariffs as well as the external environment including global networks and logistics IT management must be carefully considered as they are all key actors affecting cargo volumes.

• Wind and Structures
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• v.32 no.5
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• pp.453-469
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• 2021

Snow accumulation on the road frequently induces a big traffic problem in the cold snowy region. Accurate prediction on snow distribution is fundamental for solving drifting snow disasters on roads. The present study adopts the transient method to simulate the wind-induced snow distribution on embankment based on the mixture multiphase model and dynamic mesh technique. The simulation and field measurement are compared to confirm the applicability of the simulation. Furthermore, the process of snow accumulation is revealed. The effects of friction velocity and snow concentration on snow accumulation are analyzed to clarify its mechanism. The results show that the simulation agrees well with the field measurement in trends. Moreover, the snow accumulation on the embankment can be approximately divided into three stages with time, the snow firstly deposited on the windward side, then, accumulation occurs on the leeward side which induced by the wake vortex, finally, the snow distribution reaches an equilibrium state with the slope of approximately 7°. The friction velocity and duration have a significant influence on the snow accumulation, and the vortex scale directly affected the snow deposition range on the embankment leeward side.

• Convergence Security Journal
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• v.22 no.5
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• pp.37-47
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• 2022

The need for smart city is emerging all over the world to solve these urban problems such as urban resource and infrastructure shortage, traffic congestion, energy problems and to preemptively respond to the fourth industrial revolution. The analysis that the security of smart city technology is dangerous is dominant all over the world. In this paper, we analyze the technology, security threats and responses of smart city, which are the main security issues of smart city, limited to smart grid, smart building, and smart traffic. In the future, the analysis of various technologies of smart city construction and the research on cyber security are actively progressing, and this paper is expected to be the beginning of the solution plan.

• Journal of information and communication convergence engineering
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• v.12 no.4
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• pp.228-236
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• 2014

One of major purposes of these standard technologies is to ensure interoperability between entities from different vendors and enable interworking between various technologies. As interoperability and interworking are essential for machine-to-machine communications (M2M) and Internet of Things (IoT) for them to achieve their ultimate goal, i.e., things to be connected each other, multiple standards organizations are now working on development M2M/IoT related specifications. This paper reviews the current activities of some of the most relevant standardization bodies in the area of M2M and IoT: third-generation partnership project (3GPP) core and radio network aspects, broadband forum, and oneM2M. The major features and issues being focused upon in these standards bodies are summarized. Finally, some key common trends among the different bodies are identified: a common service layer platform, new technologies mitigating an explosive growth of network traffic, and considerations and efforts related to the development of device management technologies.

• Journal of Korean Society of Transportation
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• v.9 no.2
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• pp.57-74
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• 1991

Deregulation privatization regionalism and globalization are the specific examples of the recent trends in the world air transport market. As encouraged by the international trends and the domestic policy of promoting market mechanism Korean has been driving a two-airline policy since 1989. But due to the absence of experience and philosophy about the airline co-mpetition both Korean government and the two airlines have been criticized for failing to set fair-competition rules and for struggling to secure air service rights regardless of national interest. Therefore this study shows the costs and benefits of a two-airline policy in a small count-ry reviews the empirical studies about the cost structure of American and Canadian airlines and analyzes the economic consequences of allocating air service rights between two airlines. The policy recommendations are (1) removing government restrictions and expanding ai-rport facilities to develop the domestic market (2) retaining the two-airline policy in the in-ternational market (3) increasing traffic density rather than expanding network for the small airline (4) improving comparative advantage through a global alliance and a technological innovation for the big airline and (5) building an official committee for co-ordinating the two airlines' interests.

• Electronics and Telecommunications Trends
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• v.35 no.2
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• pp.17-27
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• 2020

Predicting where and when a crime may occur in an area of interest is one of many strategies of predictive policing. Multidimensional analysis, including CCTV, can overcome the limitations of hotspot prediction, especially of violent crimes. In order to identify the precursors of a crime, it is necessary to analyze dynamic data such as attributes and activities of people, social information, environmental information, traffic flows, and weather. These parameters can be recognized by CCTV. In addition, it provides accurate analysis of the circumstances of a crime in a dynamic situation, calculates the risk, and predicts the probability of a crime occurring in the near future. Additionally, it provides ways to gather historical criminal datasets, including sensitive personal information.

• Journal of electromagnetic engineering and science
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• v.14 no.4
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• pp.321-328
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• 2014

Software defined radar (SDR) is a multi-purpose radar system where most of the hardware processing is performed by software. This paper introduces a concept and technology trends of software defined radar, and addresses the advantages and limitations of the current SDR radar systems. For the advanced SDR concept, the KAU SDR Model (KSM) is presented for the multimode and multiband radar system operating in S-, X-, and K-bands. This SDR consists of a replaceable multiband antenna and RF hardware, common digital processor module with multimode, and open software platform based on MATLAB and LabVIEW. The new concept of the SDR radar can be useful in various applications of the education, traffic monitoring and safety, security, and surveillance depending on the various radar environments.