• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2017.11a
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• pp.70-71
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• 2017

현재 국내 대도시권은 도시의 외연적 확장과 도로 중심의 교통물류체계 및 통행패턴으로 인하여 도로운송 시스템은 이미 포화상태에 도달하여 교통 혼잡으로 인한 물류비용의 증가, 도로 시설 유지보수 비용 증가 등 사회 경제적 비용 부담이 가중되고 있다. 화물운송시스템도 도로운송에 의존하고 있어 이산화탄소의 배출량이 많아 대기오염의 주된 요인으로 작용하며, 야간 운송에 따른 소음 유발, 교통사고 발생, 도로파손 등 사회문제를 야기하고 $\cdots$(중략)$\cdots$.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.1
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• pp.10-22
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• 1993

In this paper, we proposed a Neuro-FAX algorithm having high compression rate and good reconstruction capability in spite of noise and fonts. This algorithm processes the character part and the image part seperately. In the character part, we recognized each characters in document using neural networks, and transmitted the information recognized. And we transmitted the image part as it is by the conventional method. With character set in receiving terminal. it can produce nice document of noise free characters and different font.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.12
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• pp.813-819
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• 2004

This paper infers two patterns of timeout from the characteristics of TCP Reno and confirms the existence of the patterns by conducting actual experiments. All timeouts can be classified into either of these patterns by using the history of RTT value. Based on the observed patterns, the paper proposes two algorithms to improve the performance of TCP Reno. Experimental results show that, when compared with TCP Reno, the proposed algorithms improve the bandwidth utilization by 3 to 12 percent. The paper provides good examples of how timeout-based and delay-based congestion control can efficiently work together.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.290-291
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• 2018

최근 해상교통량이 증가하고 연안 항해에 대한 관제 필요성이 요구되면서 선박 교통 관제구역이 점차 확대되는 추세이다. 이러한 관제구역의 확대는 관제사의 업무 부하를 초래하며, 이로 인해 교통 혼잡 시간대와 같이 교통량이 급증하는 경우 관제사가 위험 상황을 인지하지 못하는 상황도 발생하게 된다. 이러한 배경에서 본 논문에서는 관제 업무의 지원을 위해 이상 거동 선박을 자동으로 식별하는 방법을 제안하고자 한다. 제안하는 방법은 기계학습 기술을 기반으로 관제구역 내의 통항 패턴을 모델링하고, 이를 통해 이상 거동 선박을 식별하는 방법으로, 대상 항만의 누적된 AIS 데이터를 이용하여 모델을 학습하며, 실제 항적 및 시뮬레이션 데이터를 이용한 실험을 통해 선박교통관제시스템에의 활용 가능성을 고찰한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.789-792
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• 2008

Actually, The present traffic accident detection system is subsisting limitation of accurate distinction under the crowded condition at intersection because the system depend upon mainly the image information at intersection and digital image processing techniques nearly all. To complement this insufficiency, this article aims to estimate the level of present technology and a realistic possibility by analyzing the acoustic characteristic of crash sound that we have to investigate for improvement of traffic accident detection rate at intersection. The skid sound of traffic accident is showed the special pattern at $1[kHz]{\sim}3[kHz}$ bandwidth when vehicles are almost never operated in and around intersection. Also, the frequency bandwidth of vehicle crash sound is showed sound pressure difference over 30[dB] higher than when there is no occurrence of traffic accident below 500[Hz].

• Journal of Digital Contents Society
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• v.15 no.2
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• pp.147-154
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• 2014

There have been company researches for TCP-Westwood algorithms in wireless TCP environment with high packet loss rate. Because the TCP-Westwood algorithm adjusts the congestion window according to the ABE(Available Bandwidth Estimation), the algorithm has a problem which the accuracy of ABE decreases as the error rate increases. To solve such a problem, the proposed scheme in this paper adopts the existing packet pattern based algorithm that the ABE is ignored when the arriving interval time of ACK is longer than a given interval time and uses new algorithm that the ABE is reallocated to a given allowable ABE when the ABE is over the allowable range. The proposed scheme shows the simulation result that the ABE is closest to the setting bandwidth for simulation compared to the existing algorithms.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.39 no.2
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• pp.59-68
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• 2002

In this paper, we compared and analyzed two new models of cyclic packet dropping algorithm, Adaptive Cyclic Packet Dropping algorithm (ACPD), and Non-adaptive Cyclic Packet Dropping algorithm (NCPD) with RIO. The ACPD algorithm drops adaptively packets for the congestion control, as predicting traffic pattern between each cycle. Therefore the ACPD algorithm makes up for the drawback of RIO algorithm and minimizes the wastes of the bandwidth being capable of predicting in the NCPD algorithm. We modelled two cyclic packet drop algorithms and executed a simulation and analyzed the throughput and packet drop rate based on Sending Priority changing dynamically depending on network traffic. In this algorithm, applying the strict drop precedence policy, we get better performance on priority levels. The results show that two new algorithms may provide more efficient and stricter drop precedence policy as compared to RIO independent of traffic load. The ACPD algorithm can provide better performance on priority levels and keep stricter drop policy than other algorithms.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.2
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• pp.295-303
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• 2004

In this Paper, we discuss an active TCP link of unsynchronized transmission mode network in two-way traffic and the Improvement of its traffic patron thorough the network pathway of protocol is shown. This is because the traffic pattern is performed on the basis of existing windows which are distributing information in several periods of time in the way of interfacing LTS control module, which is controlling by an information of exceeding the time limit of feedback loop determined by RTP, with TCP. The simulation to utilize this efficiently is performed with the circumstance of bench mark based on physical modeling of the self-similarity traffic in the performance of TCP. In this paper, we use a methodology to understand and evaluate the effect of change of transmitting protocol in sticks under the condition of the self-similar traffic in two-way network and it is shown that an improvement of congestion control by self-similarity under a heavy condition.

• The KIPS Transactions:PartC
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• v.9C no.5
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• pp.783-788
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• 2002

Adaptive Cyclic Packet Dropping algorithm (ACPD), and Non-adaptive Cyclic Packet Dropping algorithm (NCPD) are applying stricter drop precedence than that of RIO algorithm. Especially, the ACPD algorithm drops adaptively packets for the congestion control, as predicting traffic pattern between each cycle. Therefore the ACPD algorithm makes up for the drawback of RIO algorithm and minimizes the wastes of the bandwidth being capable of predicting in the NCPD algorithm. And we executed a simulation and analyzed the throughput and packet drop rate based on Sending Priority changing dynamically depending on network traffic. In this algorithm, applying strict drop precedence policy, we get better performance on priority levels. The results show that the proposed algorithms may provide more efficient and stricter drop precedence policy as compared to RIO independent of traffic load. The ACPD algorithm can provide better performance on priority levels and keep stricter drop policy than RIO and the NCPD algorithm.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.5
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• pp.1969-1980
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• 2013

The Traffic congestion is caused by the increasing traffic demand. Thus, economic losses have been increasing every year. To solve these problems, car sharing and rental car systems that are equipped with IT technologies emerge. Car sharing has many advantages-the alleviation of the traffic congestion, the saving of maintenance cost for cars, the reduction of car possessiveness, the solution for the hassle of car ownership, for business and personal duty, and the improvement of connectivity between public transportations-. The goal of the car sharing is to achieve low-carbon and eco-friendly transportation. In this study, we review papers related to the car sharing system and the cost system of traffic systems. We estimate the optimal cost of the cloud traffic system that is one of the car sharing services. We suggest a methodology to estimate operational cost and use cost through the analysis of cost system between similar traffic means. The range of the maximum and minimum cost was determined through the comparison and analysis of similar traffic means. Expected demand and the cost that people are willing to pay were estimated through optimized value pricing. The minimum cost per hour that was compared to the cost of rental car was estimated at 5,333 won and the maximum cost per hour that was compared to taxi cost was estimated at 17,700 won. The cost for users was estimated at 6,930 won. The cost of 50% demands was estimated at 6,550won. Future studies should analyze service hours of users, weather, demand pattern and trend and consider them into the cost estimation.