• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.9
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• pp.1402-1408
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• 2017

Recently, services for personal biometric data analysis based on real-time monitoring systems has been increasing and many of them have focused on recognition of emotions. In this paper, we propose a classification model to classify anxiety emotion using biometric data actually collected from people. We propose to deploy the support vector machine to build a classification model. In order to improve the classification accuracy, we propose two data pre-processing procedures, which are normalization and data deletion. The proposed algorithms are actually implemented based on Real-time Traffic Flow Measurement structure, which consists of data collection module, data preprocessing module, and creating classification model module. Our experiment results show that the proposed classification model can infers anxiety emotions of people with the accuracy of 65.18%. Moreover, the proposed model with the proposed pre-processing techniques shows the improved accuracy, which is 78.77%. Therefore, we can conclude that the proposed classification model based on the pre-processing process can improve the classification accuracy with lower computation complexity.

• Korean Institute of Interior Design Journal
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• v.27 no.1
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• pp.3-11
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• 2018

The number of shared offices has increased and changed within the flow of the era into various forms in recent days. Co-working spaces and related shared space businesses are growing fast, keeping pace with the trend recently. It is confirmed that the need of spaces grew 180% since 2015 to 2017. Most of the shared offices in Seoul are placed in Gangnam circle, it is verified that shared office is providing work, space, and community by visiting cases of foreign companies, domestic companies, local companies. Meanwhile, shared space can be categorized into serviced office, co-working space, virtual office, and daily office. It is to consider various target levels by leasing service or the difference of costs. It is divided into forms of dispersion, circulation, and concentration and is planned to increase the utilization of communities' traffic according to the allocation of shared office. The business is conducted network-centered. During the process of communication, members can get chances to exchange and build communities. They are making business ecosystem which they can coexist and grow together. Shared offices have a view of a solution to empty rooms and will last for a while, and it is expected that co-working system be settled as office space and giving people sense of belonging on their workspace.

• The Journal of Bigdata
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• v.2 no.2
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• pp.129-140
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• 2017

Weather acts through low visibility, precipitation, high winds, and temperature extremes to affect driver capabilities, vehicle performance (i.e., traction, stability and maneuverability), pavement friction, roadway infrastructure, crash risk, traffic flow, and agency productivity. Recently a variety of road weather big data sources such as CCTV, road sensor/systems, car sensor have been developed to solve the weather-related problems, This study identifies and defines the types and characteristics of these sources to suggest how to utilize them for car safety and efficiency as well as road management through analyzing domestic and oversea cases of road weather big data applications.

• Journal of the Korean Society of Marine Environment & Safety
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• v.14 no.1
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• pp.71-76
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• 2008

The main ports of Korean south sea are exposed to intensive danger as 58.1% of total vessel in Korea waters and 62.9% of total dangerous cargo ships. Therefore, it is required to establish fundamental database to solve numerous issues at the main ports cf the south sea as studying amount of the vessel traffic and their flows into the main ports, and evaluating degree of danger by traffics environmental stress model as analyzing relationships among degree of danger, maritime accident, and number of vessel arriving or departing in the main ports.

• Journal of Korean Society of Transportation
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• v.20 no.5
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• pp.9-22
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• 2002

고속도로-연결로는 두 개의 교통흐름이 서로 상충되는 지점으로서 복잡한 교통행태를 나타내고 고속도로 구간 중 용량저하 및 교통와해현상, 난류현상이 일어나는 구간으로서 운영상 문제점이 많이 일어나고 있는 상태이다. 이 구간에서의 운영상태가 전체 시설물의 운영상태에 큰 영향을 끼친다는 점을 감안할 때, 이 구간의 국내자료를 토대로 한 교통류 분석은 중요한 의미를 가진다. 따라서, 교통행태에 대한 미시적인 분석이 이루어지지 않은 상태로 기존의 HCM 모형과 같은 거시적인 분석 방법만을 가지고는 분류구간 교통현상을 규명하기 어렵다. 본 연구에서는 기존 연구들 분석방법의 문제점을 해결하기 위해, 고속도로-연결로 구간중 유출부 구간을 대상으로 현장조사를 실시하였고, 지점(구간)과 차로로 세분하여 미시적인 방법으로 교통특성을 규명하였다. 또 한 유출부 구간의 여러 지점에서 지점 및 차로별 교통량을 예측할 수 있는 교통분포 모형식을 개발하였다. 정립된 교통분포 모형식을 적용해 본 결과 유출부 구간의 분석 및 서비스 수준의 평가는 연결로 접속차로(Vl)의 교통량만을 고려하여 분석하는 것은 합리적이지 않고, 연결로나 본선 모두와 진입부를 포함한 연결로 전체를 다 고려해야 한다는 것을 알 수 있었다. 미시적인 분석방법을 통한 차로별 교통분포 모형식은 기존 분석방법과 비교하여 더 정확하게 그리고 폭 넓은 분석 및 적용하기에 손쉬운 모형이라는 점에서 상당히 효과적인 분석방법이라고 할 수 있다. 하지만 본 연구의 결과는 한 조사지점에 대한 적은 자료를 토대로 하였기 때문에 실제적용 가능성에서 향후 보강할 필요가 있으며, 다른 지점의 현장조사와 세밀한 비교연구가 필요하다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.12B
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• pp.847-854
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• 2005

Many of scheduling algorithms that provide a pre-defined bandwidth to a traffic flow fall into a category of Latency-rate (LR) server, the delay of whose network can be simply calculated by adding up individual 'latencies' of each LR servers. Deficit Round Robin (DRR) is one of such LR servers and the simplest one to implement, so that it is adopted in many real systems. In this research we suggest an improved version of DRR, the DRR with Instant Service (DRR-IS), and analyze it. We have proved that the DRR-IS is still an LR sewer and have obtained its latency. The DRR-IS, compared with DRR, turns out to have the same complexity while provide about $30\%$ better latency.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.1
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• pp.484-510
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• 2017

Network security is rapidly developing, but so are attack methods. Network worms are one of the most widely used attack methods and have are able to propagate quickly. As an active defense approach to network worms, the honeynet technique has long been limited by the closed architecture of traditional network devices. In this paper, we propose a closed loop defense system of worms based on a Software-Defined Networking (SDN) technology, called Worm-Hunter. The flexibility of SDN in network building is introduced to structure the network infrastructures of Worm-Hunter. By using well-designed flow tables, Worm-Hunter is able to easily deploy different honeynet systems with different network structures and dynamically. When anomalous traffic is detected by the analyzer in Worm-Hunter, it can be redirected into the honeynet and then safely analyzed. Throughout the process, attackers will not be aware that they are caught, and all of the attack behavior is recorded in the system for further analysis. Finally, we verify the system via experiments. The experiments show that Worm-Hunter is able to build multiple honeynet systems on one physical platform. Meanwhile, all of the honeynet systems with the same topology operate without interference.

• Journal of Korean Society of Transportation
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• v.14 no.2
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• pp.173-189
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• 1996

본 논문의 목적은 2차선 지방지역도로에서 사용 가능한 No-overtaking Model의 개발과 현장조사를 통한 우리 나라 2차선 도로의 교통류 특성의 규명이었다. No-overtaking Model을 개발하기 위해서는 이미 개발된 바 있는 Slow moving Vehicle Model의 이론적 틀을 근거로 하되 중차량을 따라 피동적으로 주행하는 일련의 차량군에 또 다른 중차량이 포함된 경우에 대해서도 분석이 가능하도록 개선했다. 경기도 일원에서 약 3 개월동안 조사한 현장조사에서 나타난 우리 나라 2차선 도로의 교통류 특성은 첫째로, 2차 선 교통류의 주요 MOE(Measures of Effectiveness)들은 교통량에 의해 비교적 정확하게 산정 가능하다는 것과, 둘째로 우리 나라의 주요 MOE값은 외국의 경우와 비교했을 때 대 체로 유사한 결가를 보이나 평균속도의 경우 최소 5km/h 최대 15km/h 정도와 차이를 나타 낸다는 것, 그리고 셋째로 차량군의 선두차량 85%의 경우 그 속도는 100.4km/h이고 추월 에 필요한 반대편차선 차량과의 여유 거리는 754.8m이라는 것이었다. 향후 연구과제로는 중차량의 속도분포를 확률 분포식으로 나타내는 경우의 지체시간, 추월율 등의 2차선 교통 류 MOE를 산출할 수 있는 Model을 개발하는 것이며 현재 5분 교통량으로 표시된 교통량 을 보다 많은 현장수집 자료를 통해 1시간 단위의 교통량을 기준으로 하여 MOE를 산정해 보는 것이다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.5
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• pp.892-900
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• 1994

Recently, ITU-TSS recommends a service specific connection oriented protocol (SSCOP) which assures the successful transmission of signalling information for B-ISDN. In the SSCOP, there is a mechanism to exchange periodically status informations for both error and flow controls. In this paper, we analyze the SSCOP with a discrete-time queueing model. We consider two cases for link-by-link and end-to-end controls. As the performance measures, we investigate delay, throughput, and buffer size of the receiver. The average values of these measures are analyzed with respect to the loss probability of messages, the traffic load, and the exchange period of status information. We also verify the accuracy of this model with simulations.

• Korean Journal of Agricultural Science
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• v.27 no.1
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• pp.63-70
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• 2000

Taean county region has been economically lagged behind compared with other areas in Chungnam Province mainly due to disadvantages of the location such as traffic accessibility, social infrastructure and industrial complex. However, recently Taean region has been emerged as newly prospective area because west coastal highway will be constructed to connect Seoul urban area to famous beach sites, recreational facilities along the seaside of Taean county, where International Flower Exhibition will also be held in Anmyon Island for the year of 2002. This Paper aims to explore how International Flower Exhibition is contributing to the development of local economy of Taean County area and to suggest the strategies for the development of this area through promoting spread effects of these international events. It is estimated that although there will be loss of 32,987 thousands won during the period of international flower festival based on the cash flow analysis, long run profits would be 108 trillion won, when calculating indirect benefits derived from the sight seeing, flower sales and other incomes from various activities. In order to maximize post benefits of international flower event, it is suggested that Taean county should pursue the strategies for specializing in cultural events such as family recreational events, beach festival and traditional cultural events, improving the social infrastructure and promoting the local industry such as flower, tourism and advanced technological enterprises.