• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2006년도 춘계종합학술대회
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• pp.542-545
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• 2006

RFID는 각종 서비스 산업은 물론 물류, 산업 현장, 제조 공장과 물품의 흐름이 있는 곳이면 어디에서나 적용이 가능하여 사회 여러 분야로부터 큰 관심을 받고 있다. 하지만 현재 900MHz 대역의 RFID에서 사용하는 ISO18000-6의 프로토콜에서는 에러검출을 위한 CRC16만을 사용하고 있으며, 에러정정능력을 갖추지 못해 그 신뢰성이 매우 떨어진다. 본 연구에서는 이러한 RFID 시스템의 신뢰성 향상을 위하여 Reader에서 Tag로의 데이터 전송 시에 대역확산방식과 컨볼루션 부호를 적용하여 시스템의 신뢰성 향상을 목적으로 하고 있으며, 또한, 이러한 방식을 적용했을 때와 적용하지 않았을 때의 에러율을 측정 비교하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권10호
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• pp.3789-3809
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• 2015

In this paper, we deal with the problem of M2M gateways' network selection for different types of M2M traffic in heterogeneous wireless networks. Based on the difference in traffic's quality of service (QoS) requirements, the M2M traffic produced by various applications is mainly classified as two categories: flexible traffic and rigid traffic. Then, game theory is adopted to solve the problem of network-channel selection with the coexistence of flexible and rigid traffic, named as flexible network access (FNA). We prove the formulated discrete game is a potential game. The existence and feasibility of the Nash equilibrium (NE) of the proposed game are also analyzed. Then, an iterative algorithm based on optimal reaction criterion and a distributed algorithm with limited feedback based on learning automata are presented to obtain the NE of the proposed game. In simulations, the proposed iterative algorithm can achieve a near optimal sum utility of whole network with low complexity compared to the exhaustive search. In addition, the simulation results show that our proposed algorithms outperform existing methods in terms of sum utility and load balance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.1951-1972
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• 2018

Wi-Fi Access Point (AP) optimization approaches are used in indoor positioning systems for signal coverage enhancement, as well as positioning precision improvement. Although the huge power consumption of the AP optimization forms a serious problem due to the signal coverage requirement for large-scale indoor environment, the conventional approaches treat the problem of power consumption independent from the design of indoor positioning systems. This paper proposes a new Fast Water-filling algorithm Group Power Constraint (FWA-GPC) based Wi-Fi AP optimization approach for indoor positioning in which the power consumed by the AP optimization is significantly considered. This paper has three contributions. First, it is not restricted to conventional concept of one AP for one candidate AP location, but considered spare APs once the active APs break off. Second, it utilizes the concept of water-filling model from adaptive channel power allocation to calculate the number of APs for each candidate AP location by maximizing the location fingerprint discrimination. Third, it uses a fast version, namely Fast Water-filling algorithm, to search for the optimal solution efficiently. The experimental results conducted in two typical indoor Wi-Fi environments prove that the proposed FWA-GPC performs better than the conventional AP optimization approaches.

• 한국정보통신학회논문지
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• 제12권7호
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• pp.1271-1277
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• 2008

본 논문에서는 CDMA-MIMO 상향링크 시스템에서 프리엠블 탐색을 위한 MIMO 채널에서 코드 동기 획득 기법에 대해 연구한다. 다중 송신 및 수신 안테나가 빔형성을 위해서 사용된다. 송수신 빔형성 기반의 ML 코드 동기 획득 기술의 성능이 동기 획득 확률을 통하여 이론적으로 분석된다. MIMO 코드 동기 획득 시스템에서 동기 획득의 성능과 평균 동기 획득 시간을 평가한다. 다중 송신 안테나가 코드 동기 획득 시스템에 송신 빔 이득을 제공하고 그 결과로 빔형성 기반의 MIMO 시스템이 SIMO에 비교하여 더 우수한 동기 획득 성능을 얻을 수 있음을 보인다.

• 한국프랜차이즈경영연구
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• 제10권1호
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• pp.7-17
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• 2019

Purpose - Generally, the consumer's decision-making process for restaurant selection is simple and familiar. However, online information becomes important because the decision-making process of consumers becomes complicated in new restaurants and special situations. Because consumers can search for information online, information retrieval is now possible in selecting new restaurants. In particular, consumers often make decisions based on online information when making restaurant reservations. Research design, data, and methodology - All items were measured based on previous studies. The data were collected from customers who had visited the store by visiting the web page of the food service franchise within the last 3 months for the panel of the online survey institute. The questionnaires were surveyed from July 2 to July 11, 2018 for about 10 days. A mail and a message were sent to 2,000 people, and 310 people were asked to complete the questionnaire. Total of 303 data were used in the questionnaire, excluding 7 insufficient data. Results - The findings of this study are as follows: Consensus, vividness, and neutrality have positive effects on enjoyment. Consensus have positive effect on anxiety, but vividness and neutrality did not have significant effect on anxiety. Also, enjoyment has a positive influence on intention to visit, and anxiety has a negative influence on visit intention. Conclusions - First, franchise companies online advertising in a variety of ways, but they are mixed with other customers' WOM and offered to consumers. In this case, the information provided by the company may be distorted. Therefore, a restaurant franchise company needs to operate an official online channel to provide accurate information to its customers. Second, it is necessary to make contents so that other customers can participate in online channels of food service franchise companies. Third, food service franchise company should produce enough online contents to experience indirectly even if the customer does not visit the store directly. Fourth, food service franchise company needs to prepare a way for many customers to participate in many official contents.

• International Journal of Computer Science & Network Security
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• 제23권10호
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• pp.97-106
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• 2023

Sentiment analysis using social network platforms such as Twitter has achieved tremendous results. Twitter is an online social networking site that contains a rich amount of data. The platform is known as an information channel corresponding to different sites and categories. Tweets are most often publicly accessible with very few limitations and security options available. Twitter also has powerful tools to enhance the utility of Twitter and a powerful search system to make publicly accessible the recently posted tweets by keyword. As popular social media, Twitter has the potential for interconnectivity of information, reviews, updates, and all of which is important to engage the targeted population. In this work, numerous methods that perform a classification of tweet sentiment in Twitter is discussed. There has been a lot of work in the field of sentiment analysis of Twitter data. This study provides a comprehensive analysis of the most standard and widely applicable techniques for opinion mining that are based on machine learning and lexicon-based along with their metrics. The proposed work is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous, and polarized positive, negative or neutral. In order to validate the performance of the proposed framework, an extensive series of experiments has been performed on the real world twitter dataset that alter to show the effectiveness of the proposed framework. This research effort also highlighted the recent challenges in the field of sentiment analysis along with the future scope of the proposed work.

• Journal of Astronomy and Space Sciences
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• 제39권1호
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• pp.1-10
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• 2022

The universe is thought to be filled with not only Standard Model (SM) matters but also dark matters. Dark matter is thought to play a major role in its construction. However, the identity of dark matter is as yet unknown, with various search methods from astrophysical observartion to particle collider experiments. Because of the cross-section that is a thousand times smaller than SM particles, dark matter research requires a large amount of data processing. Therefore, optimization and parallelization in High Performance Computing is required. Dark matter in hypothetical hidden sector is though to be connected to dark photons which carries forces similar to photons in electromagnetism. In the recent analysis, it was studied using the decays of a dark photon at collider experiments. Based on this, we studies double dark photon decays at lepton colliders. The signal channels are e⁺e^- → A'A' and e⁺e^- → A'A'γ where dark photon A' decays dimuon. These signal channels are based on the theory that dark photons only decay into heavily charged leptons, which can explain the muon magnetic momentum anomaly. We scanned the cross-section according to the dark photon mass in experiments. MadGraph5 was used to generate events based on a simplified model. Additionally, to get the maximum expected number of events for the double dark photon channel, the detector efficiency for several center of mass (CM) energy were studied using Delphes and MadAnalysis5 for performance comparison. The results of this study will contribute to the search for double dark photon channels at lepton colliders.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 춘계학술대회
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• pp.609-611
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• 2010

IPTV(Internet Protocol Television)가 상용화되고 있는 시점에서 수많은 채널과 방송 콘텐츠가 기하급수적으로 늘어나고 있고, 많은 사람들이 이동 단말기를 통해 IPTV를 언제 어디서나 사용하려는 요구가 증가할 것이다. 수많은 채널의 정보를 수집하기 위한 EPG(Electronic Program Guide) 서비스를 IP(Internet Protoco) 통신을 이용하여 방송 콘텐츠의 빠른 검색을 위한 EPG 서비스를 활용하는 시점에 있다. 현재 유선망을 이용한 IPTV를 안드로이드 기반의 모바일 환경에서도 EPG 서비스를 활용할 수 있는 환경을 제공하기 위한 연구가 진행되고 있고, 국내 디지털 방송의 표준이 유럽의 DVB-MHP 표준안을 따르고 있는 만큼 EPG 서비스도 그에 따른 연구 및 개발이 필요하다. 본 연구에서는 기존의 유선망을 이용한 IPTV의 채널 EPG 서비스 정보를 모바일 환경에서 사용자 중심의 채널 EPG 서비스 정보를 최대한 제공하여 사용자가 콘텐츠에 손쉽고 빠르게 검색할 수 있는 환경을 제공하고자 하며, 안드로이드 기반의 모바일 환경에서 IPTV의 채널 EPG 서비스를 활용하기 위해 방송 채널을 사용자 입장에서 EPG 서비스 정보를 수집하는 검색 시스템을 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권12호
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• pp.5860-5876
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• 2018

A single snapshot data can only provide limited amount of information so that the rank of covariance matrix is not full, which is not adopted to complete the parameter estimation directly using the traditional super-resolution method. Aiming at solving the problem, a joint time delay and angle estimation using matrix pencil method based on information reconstruction vector for orthogonal frequency division multiplexing (OFDM) signal is proposed. Firstly, according to the channel frequency response vector of each array element, the algorithm reconstructs the vector data with delay and angle parameter information from both frequency and space dimensions. Then the enhanced data matrix for the extended array element is constructed, and the parameter vector of time delay and angle is estimated by the two-dimensional matrix pencil (2D MP) algorithm. Finally, the joint estimation of two-dimensional parameters is accomplished by the parameter pairing. The algorithm does not need a pseudo-spectral peak search, and the location of the target can be determined only by a single receiver, which can reduce the overhead of the positioning system. The theoretical analysis and simulation results show that the estimation accuracy of the proposed method in a single snapshot and low signal-to-noise ratio environment is much higher than that of Root Multiple Signal Classification algorithm (Root-MUSIC), and this method also achieves the higher estimation performance and efficiency with lower complexity cost compared to the one-dimensional matrix pencil algorithm.

• 대한전자공학회논문지TC
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• 제37권10호
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• pp.9-17
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• 2000

본 논문에서는 3GPP(The third Generation Partnership Project) W-CDMA시스템에 대해 향상된 셀 탐색 알고리즘을 제안한다. 제안된 알고리즘의 핵심은 두 번째 단계를 제대로 찾기 위해 첫 번째 단계에서 탐색 슬롯 수를 적게 하면서도 신뢰성을 높이는 것이다. 즉, 첫 번째 단계에서 정합필터 출력을 누적해 가면 서 연속적으로 같은 시간 옵셋에서 슬롯의 동기가 선언되면 두 번째 단계로 넘어간다 3GPP W-CDMA시스템에 대해 기존의 알고리즘과 새롭게 제안된 알고리즘을 비교하기 위해 다중경로가 있는 레일리 페이딩 채널에 대해 시뮬레이션을 했으며, 또한 시뮬레이션의 타당함을 보이기 위해 기존 알고리즘의 첫 번째 단계를 레일리 페이딩 채널에 대해 수식적으로 분석을 하였다. 본 논문에서는 시뮬레이션 결과 제안된 알고리즘 이 더 좋은 성능을 나타냄을 볼 수 있고 또한 최적의 성능을 나타내는 파라미터들을 제안한다.