• Proceedings of the KSCN Conference
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• 2003.11a
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• pp.1084-1085
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• 2003

최근 대학생들은 초등학교 때부터 혹은 중학교 때부터 급식을 받아온 세대로 급식체계에 싫증을 내고 학교 밖의 외부식당으로 눈을 돌리고 있는 세대이다. 또한, 위탁급식전문업체의 대학 내 급식사업 참여와 많은 선행 연구 등을 토대로 여러 면에서 대학 내 구내식당이 개선되고 있으나 아직도 매우 부족한 실정이다. 따라서, 본 연구는 외부식당과의 경쟁으로 현재 급식인원수가 매년 감소하여 운영상의 어려움을 겪고 있는 S 대학 학생식당 고객의 급식소 선택속성에 대한 의견을 조사하고 현재 운영중인 급식소 이외에 추가 설립하고자 하는 식당 신설에 대한 전략을 도출하고자 한다. SPSS통계 package (ver. 11.0)를 활용하여 기술통계(descriptive analysis), 컨조인트 분석 (conjoint analysis)을 실시하였다. 현재 학생식당 이용빈도 감소원인은 ‘음식이 맛이 없어서’가 44.8%, ‘거리가 멀기 때문’이 19.9%로 조사되어, 학생식당의 이용빈도에 가장 큰 영향을 주는 것은 '음식 맛'과 '거리'인 것으로 파악되었으며, 학생식당에 대한 전반적인 만족도는 ‘보통이다’가 37.8%, ‘불만족 한다’가 36%, ‘매우 불만족한다’가 18.4%, ‘만족한다’가 7.8%로 조사되어 응답자의 대부분이 식당에 대해 불만족하고 있었다. 거리에 의해 식당의 이용빈도가 감소하고 있는 것은 현 학생식당의 위치가 강의 동과 먼 거리에 위치하고 있어 강의 동이 밀집해 있는 건물과 근거리에 식당이 개설된다면 이용할 의사가 있는지 여부에 대해 64.7%가 이용하겠다는 의사를 밝혔고 26.1%는 이용하지 않겠다고 응답했다. 따라서, 학생들이 인식하는 적정 거리의 식당 위치를 파악하기 위해 식당으로 이용하는 소요시간에 대해서 조사대상자가 멀다고 인식하는 시간과 가까운 거리라고 인식하는 시간에 대한 조사 결과 가까운 거리로 인지하는 평균 이동소요시간(분)은 5분이었으며 먼 거리로 인지하는 평균이동소요시간은 10.9분으로 적당한 식당의 위치는 S~10분내의 거리로 9분 30초의 거리에 식당이 위치하면 학생들의 이용률을 극대화시킬 수 있을 거라 사료된다. 사전 대면면접을 통해 가격, 소요시간, 음식의 맛으로 선정된 속성과 각 속성별 수준을 활용한 컨조인트 분석 실시하여 도출된 학생들의 급식소 선택 시 중요하게 인식하는 속성은 가격대, 소요 시간, 음식 맛 순으로 나타났으며, 각각의 중요도는 가격이 65.42%, 소요시간인 24.76%, 음식의 맛이 9.82%였다. 즉, 학생들은 학생식당의 서비스 품질 속성 중에서 상대적으로 식사 가격을 가장 중요하기 생각하는 것으로 나타났고, 다음으로는 식사를 하기 위해 식당까지 가는데 소요되는 시간, 음식의 맛을 중요하게 생각하는 것으로 분석되었다. 컨조인트 분석결과 조사대상자가 가장 선호하는 대학 식당으로는 이동하는데 6-10분이 소요되는 거리에 위치한 식당으로 2,100-2,500원 정도의 가격대로 맛있고 깔끔한 식당을 가장 선호하는 것으로 조사되었다. 따라서, 현재 운영중인 학생식당이 모두 1,800원의 단일 식단가로 운영되고 있는 점을 감안하여 학생식당을 신설할 경우에는 이동하는데 10분 이상 소요되지 않는 장소에 가격대는 현재보다 더 높은 2,000-2,500원의 가격대에서 맛있고 깔끔한 현재와는 차별화 된 일품메뉴 위주의 식단의 학생식당을 신설하는 것이 바람직할 것으로 사료된다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.4B
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• pp.368-376
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• 2009

Over recent years, the development of multimedia devices has meant that a wider multimedia streaming service can be supported, and there are now many ways in which TV channels can communicate with different terminals. Generally, scalable video streaming is known to provide more efficient channel capacity than simulcast video streaming. Simulcast video streaming requires a large network bandwidth for all resolutions, but scalable video streaming needs only one flow for all resolutions. On the contrary, to preserve the same video quality, SVC(Sealable Video Coding) needs a higher bit-rate than AVC(non-layered Video Coding) due to the coding penalty($10%{\sim}30%$). In previous research, scalable video streaming has been compared with simulcast video streaming for network channel capacity, in two-user simulation environments. The simulation results show that the channel capacity of SVC is $16{\sim}20%$ smaller than AVC, but scalable video streaming is not efficient because of the limit of the present network framework. In this paper, we propose a new network framework with a new router using EDE(Extraction Decision Engine) and SVC Extractor to improve network performance. In addition, we compare the SVC environment in the proposed framework with previous research on the same way subject. The proposed network framework shows a channel capacity 50%(maximum) lower than that found in previous research studies.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.10
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• pp.391-398
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• 2021

Since the leased line is a structure that exclusively uses two connected areas for data transmission, a stable quality level and security are ensured, and despite the rapid increase in the number of switched lines, it is a line method that is continuously used a lot in companies. However, because the cost is relatively high, one of the important roles of the network operator in the enterprise is to maintain the optimal state by properly arranging and utilizing the resources of the network leased line. In other words, in order to properly support business service requirements, it is essential to properly manage bandwidth resources of leased lines from the viewpoint of data transmission, and properly predicting and managing leased line usage becomes a key factor. Therefore, in this study, various prediction models were applied and performance was evaluated based on the actual usage rate data of leased lines used in corporate networks. In general, the performance of each prediction was measured and compared by applying the smoothing model and ARIMA model, which are widely used as statistical methods, and the representative models of deep learning based on artificial neural networks, which are being studied a lot these days. In addition, based on the experimental results, we proposed the items to be considered in order for each model to achieve good performance for prediction from the viewpoint of effective operation of leased line resources.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.4
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• pp.731-751
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• 2021

The Internet of Things is a huge group of devices communicating each other and the interconnection of objects in the network is a basic requirement. Choosing a reliable device is critical because malicious devices can compromise networks and services. However, it is difficult to create a trust management model due to the mobility and resource constraints of IoT devices. For the centralized approach, there are issues of single point of failure and resource expansion and for the distributed approach, it allows to expand network without additional equipment by interconnecting each other, but it has limitations in data exchange and storage with limited resources and is difficult to ensure consistency. Recently, trust management models using fog nodes and blockchain have been proposed. However, blockchain has problems of low throughput and delay. Therefore, in this paper, a trust management model for selecting reliable devices in a fog-based IoT environment is proposed by applying IOTA, a blockchain technology for the Internet of Things. In this model, Directed Acyclic Graph-based ledger structure manages trust data without falsification and improves the low throughput and scalability problems of blockchain.

• International Area Studies Review
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• v.22 no.1
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• pp.141-159
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• 2018

The study aims to explore the factors that affect the value perception, satisfaction, and frequency of smart phone taxi applications in Shanghai, China, and commuters. According to a survey conducted on the actual use of taxi application, the majority of the customers responded that they have been using taxi apps for more than one or two years, and the results showed that they use taxi apps once or twice a week. It also showed that the actual use of taxi apps varies depending on their age and academic background. Among the value attributes of smart phone taxi applications, the respondents perceived ease of use as the highest at 4.41 points out of 5 point scale, while the risk perception was the lowest at 3.34 points. Finally, when social demographic characteristics and the nature of taxi app use were controlled, the value perception variables had a significant influence on taxi application satisfaction. The higher the perception of service quality, usefulness, and system usability, the higher the satisfaction levels were. In particular, the impact of perceived usefulness and system usability perception was high.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.3
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• pp.109-118
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• 2019

Road information is one of the most significant geospatial data for applications such as transportation, city planning, map generation, LBS (Location-Based Service), and GIS (Geographic Information System) database updates. Robust technologies to acquire and update accurate road information can contribute significantly to geospatial industries. In this study, we analyze the limitations of ACO (Ant Colony Optimization) road extraction, which is a recently introduced object-based road extraction method using high-resolution satellite images. Object-based ACO road extraction can efficiently extract road areas using both spectral and morphological information. This method, however, is highly dependent on object descriptor information and requires manual designations of descriptors. Moreover, reasonable iteration closing point needs to be specified. In this study, we perform improved ACO road extraction on VHR (Very High Resolution) optical satellite image by proposing an optimization stopping criteria and descriptors that complements the limitations of the existing method. The proposed method revealed 52.51% completeness, 6.12% correctness, and a 51.53% quality improvement over the existing algorithm.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.131-138
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• 2019

The world's electricity production ratio is 40% for coal, 20% for natural gas, 16% for hydroelectric power, 15% for nuclear power and 6% for petroleum. Fossil fuels also cause serious problems in terms of price and supply because of the high concentration of resources on the earth. Solar energy is attracting attention as a next-generation eco-friendly energy that will replace fossil fuels with these problems. In this study, we test the charge-operation plan and the discharge operation plan for peak-cut operation by applying the maximum power demand reduction simulation. To do this, we selected the electricity usage from November to February, which has the largest amount of power usage, and applied charge / discharge logic. Simulation results show that the contract power decreases as the peak demand power after the ESS Peak-cut service is reduced to 50% of the peak-target power. As a result, the contract power reduction can reduce the basic power value of the customer and not only the economic superiority can be expected, but also contribute to the improvement of the electric quality and stabilization of the power supply system.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.6
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• pp.757-763
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• 2018

It is very difficult to achieve sufficient data rate and required quality of service due to the time-varying nature of the radio channel and various jammers such as path loss, delay, Doppler, shadowing and interference. Especially, the propagation path between the transmitting antenna and the tracking antenna mounted on the fuselage during the test and evaluation of the projectile system considered in this paper is based on the rapid movement of the projectile, the interference due to multipath fading due to the terrain, The propagation path may be blocked. In order to effectively improve the multipath fading occurring in the wireless communication system, a diversity combiner technique is required. In this paper, to derive the design and improvement schemes for the space diversity combiner technique among the diversity combiner schemes, the BER performance of maximum ratio combining (MRC) and selection combining (SC) In an adaptive SC / MRC diversity combiner that operates with MRC when it is lower than the specified threshold criterion when comparing the SNR between two signals received from the channel and operates with SC at high and combines the two received signals The BER performance of the system was compared and analyzed.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.4
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• pp.132-144
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• 2018

3D Geo-spatial information models have been widely used in the field of Civil Engineering, Medical, Computer Graphics, Urban Management and many other. Especially, in surveying and geo-spatial field, the demand for high quality 3D geospatial information and indoor spatial information is so highly increasing. However, it is so difficult to provide a low-cost and high efficiency service to the field which demand the highest quality of 3D model, because pre-constructed spatial data are composed of different formats and storage structures according to the application purpose of each institutes. In fact, the techniques to construct a high applicable 3D geo-spatial model is very expensive to collect and analyze geo-spatial data, but most demanders of 3D geo-spatial model never want to pay the high-cost to that. This study, therefore, suggest the effective way to construct 3D geo-spatial model with low-cost of construction. In general, the effective way to reduce the cost of constructing 3D geo-spatial model as presented in previous studies is to combine the raw data obtained from point cloud observatory and UAV imagery, however this method has some limitation of usage from difficulties to approve the use of raw data because of those have been managed separately by various institutes. To solve this problem, we developed the linking & management system for unifying a high-Resolution raw geo-spatial data based on the point cloud DB and apply this system to extract the basic database from 3D geo-spatial mode for the road database registration. As a result of this study, it can be provided six contents of main entries for road registration by applying the developed system based on the point cloud DB.

• Journal of IKEEE
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• v.23 no.1
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• pp.280-288
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• 2019

In the CR-enabled MANET, routing paths can be easily destroyed due to node mobility and channel unavailability (due to the emergence of the PU of a channel), resulting in significant overhead to maintain/recover the routing path. In this paper, network caching is actively used for route maintenance, taking into account the properties of the CR. In the proposed scheme, even if a node detects that a path becomes unavailable, it does not generate control messages to establish an alternative path. Instead, the node stores the packets in its local cache and 1) waits for a certain amount of time for the PU to disappear; 2) waits for a little longer while overhearing messages from other flow; 3) after that, the node applies local route recovery process or delay tolerant forwarding strategy. According to the simulation study using the OPNET simulator, it is shown that the proposed scheme successfully reduces the amount of control messages for path recovery and the service latency for the time-sensitive traffic by 13.8% and 45.4%, respectively, compared to the existing scheme. Nevertheless, the delivery ratio of the time-insensitive traffic is improved 14.5% in the proposed scheme.