• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.1-7
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• 2020

Over the past few years, Wi-Fi signal based indoor positioning system (IPS) has been researched extensively because of its low expenses of infrastructure deployment. There are two major aspects of location-related information contained in Wi-Fi signals. One is channel state information (CSI), and one is received signal strength indicator (RSSI). Compared to the RSSI, the CSI has been widely utilized because it is able to reveal fine-grained information related to locations. However, the conventional IPS that employs a single access point (AP) does not exhibit decent performance especially in the environment of non-line-of-sight (NLOS) situations due to the reliability degeneration of signals caused by multipath fading effect. In order to address this problem, in this paper, we propose a novel method that utilizes multiple APs instead of a single AP to enhance the robustness of the IPS. In our proposed method, a hybrid neural network is applied to the CSIs collected from multiple APs. By relying more on the fingerprint constructed by the CSI collected from an AP that is less affected by the NLOS, we find that the performance of the IPS is significantly improved.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.1
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• pp.17-28
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• 2014

The increase of smartphone users have made mobile carriers offload increasingly congested traffic of 3/4G by providing Wi-Fi hot-spots in the public places such as coffee shops and subway stations. In the traditional authentication in WLAN, the users should convince the service providers that they are valid customers before they use WLAN services. Since the authentication protocol is designed for service providers. Even with the mutual authentication based on the IEEE 802.1X, which is supported by IEEE 802.11 standard, it is difficult to be convinced of that the service providers really have installed the WLAN APs, which users are confronted with. An attacker can install rogue APs that masquerade as legitimate APs by copying the SSID, MAC address, etc. in order to obtain users' private information. In this paper, we introduce a method of authenticating legitimate APs for smartphone users. And we show our proposal can be well utilized for the current Wi-Fi hot-spots as a security plug-in and prove it through our experiments.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.135-136
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• 2023

This study is an empirical result for building an onboard communication network using metal surface wave communication and is a consideration of its application within the ship. Over the past three years, the applicability and the performance of metal surface wave communication has been confirmed by testing on five small and medium ships. In the tests, IEEE 802.11 protocol of Wi-Fi was used, and the signals were generated in the form of surface waves. Data was sent from AP to AP in the point-to-point form, and the transmission speed was measured at the same time. If necessary, additional repeaters were used to extend the transmission distance. As derived a transmission speed of 5 to 100 Mbps in wireless communication restricted areas of the 5 ships, it is believed that it is possible to reduce the weight of ships and costs by eliminating the communication cables by using surface wave communication as the back-bone network on ships.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.86-89
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• 2016

실내 위치 인식 기술은 Wi-Fi, Bluetooth Low Energy 등 여러 기술을 통해 시도되어 왔으며, 실내 위치 인식 시스템의 상용화가 급증하는 추세이다. 대표적인 실내 측위 시스템인 Wi-Fi 기반 실내 측위는 고출력으로 넓은 범위에 서비스를 제공해주지만, 각 AP 마다 파워 출력이 다르기 때문에 위치 인식 측면에서의 오차가 발생하고, Bluetooth Low Energy 기반 실내 측위는 10m Cell 내에서는 정확한 인식이 가능하지반, 10m 거리 밖 오차는 매우 크다. UWB(Ultra Wide Band)[1][2][3]는 저전력으로, 3.1~10.6GHz의 대역올 이용하여, Wi-Fi의 10배 이상의 속도로 데이터를 전달한다. 이때, 데이터 전달에 사용되는 전파신호는 레이더 신호와 유사한 특징을 가져 거리측정에 사용될 수 있으며, 실내 측위 시 15cm 이내의 정확도를 가진다. 본 논문에서는 UWB의 광대역을 이용한 핑거프린팅과 정밀 측위를 위한 TDoA 기법을 이용한 정밀 실내 측위 알고리즘을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.253-256
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• 2013

Device-to-device (D2D) 통신 기술은 기지국 및 Access Point (AP)와 같은 인프라의 경유 없이 트래픽 교환이 단말기간에 직접적으로 이루어지도록 하는 기술이다. 오늘날 D2D 통신 기술은 셀룰러 망 과부하 문제의 해결책으로써 많은 관심을 받고 있다. 본 논문에서는 대표적인 D2D 통신 기술인 Wi-Fi Direct에 기반하여 형성된 네트워크에 존재하는 다수의 단말에게 동영상을 스트리밍하기 위한 안드로이드 라이브러리 개발 사례를 소개한다. 본 논문에서 소개하는 라이브러리는 의사 브로드캐스트(Pseudo-broadcast) 방식을 사용하여 다수의 단말에게 동영상을 스트리밍한다. 의사 브로드캐스트 방식은 빠른 전송 속도로 동영상을 스트리밍할 뿐만 아니라 한 번의 전송을 다수의 단말에게 동일한 데이터를 전송할 수 있는 장점이 있다.

• Journal of KIISE:Information Networking
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• v.41 no.4
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• pp.192-201
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• 2014

User scheduling boosts the Multi-User Multi-Input Multi-Output (MU-MIMO) gain by selecting an optimal set of users to increase the 802.11 Wi-Fi system capacities. Many kinds of user scheduling algorithms, however, fail to realize the advantages of MU-MIMO due to formidable Channel State Information (CSI) overhead. In this paper, we propose a user scheduling method considering such CSI exchange overhead and its MAC protocol, called ACE (Active CSI Exchange based User Scheduling for MU-MIMO Transmission). Unlike most proposals, where user scheduling is performed after an Access Point (AP) receives CSI from all users, ACE determines the best user set during the CSI exchange phase. In particular, the AP broadcasts a channel hint about previously scheduled users, and the remaining users actively send CSI reports according to their Effective Channel Gains (ECGs) calculated from the hint. Through trace-driven MATLAB simulations, we prove that the proposed scheme improves the throughput gain significantly.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.20 no.9
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• pp.954-960
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• 2009

In this paper, Indoor Positioning System based on Wi-Fi system which is one of the key technology in LBS(Location Based Service) is proposed. The proposed system estimates distance between MS(Mobile Station) and AP(Access Point) using RSSI(Received Signal Strength Indicator). RSSI is affected by outlier that originate from indoor environment complexity and obstacle. In this paper, we introduce a Robust outlier Extended Kalman Filter that can ignore, real-time outlier in the observations. To demonstrate performance of proposed indoor positioning system, we used a PDA as the MS.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.11
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• pp.1000-1008
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• 2014

Situation awareness for vehicles and pedestrians is very critical to ensure safety. While on-board sensors or systems can easily detect line-of-sight pedestrians, it is difficult to locate the positions of out-of-sight pedestrians especially with no GPS service. This paper proposes a method for accurate and on-time localization of indoor pedestrians by nearby vehicles. The proposed method is based on mobile ad-hoc networks among vehicles and pedestrians, without relying on infrastructures such as GPS, WiFi AP, and Bluetooth-based systems. Also, this paper develops a genetic algorithm to accurately and promptly locate pedestrians. Finally, simulation results are presented to quantitatively evaluate the proposed method compared to other studies.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.4 no.4
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• pp.272-277
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• 2011

LBS(Location Based Service) is one of the most important killer App. in the Smart-phone Era. The Smart-phone provide basically location informations using GPS, Wi-Fi AP, 3G ID as a location determination technology to supply LBS. Also it can use maps such as Google map and Daum map with Open API. Therefore, Smart-phone is regarded as the best platform to develop location based applications. In my paper, a location based smart-phone App., that is, "Real-Race App." is designed and implemented for applying events and marketing.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.6
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• pp.1395-1400
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• 2014

Diligence/Indolence records are the key data for a human resource management and the basic data to measure the salaries of the employees. However, existing mechanical or electro-magnetic diligence/indolence management systems have the problems that the systems are often incorrect or require much cost to build them. In this paper, we design and implement the diligence/indolence management system using a smart device of an employee. To measure the data of the diligence/indolence, the implemented system acquires the location data of the employee using the MAC addresses of both a smart device and access points of the WiFi and transfers the data of punching-in/out based on the acquired location to a server. The benefit of the proposed system is that it is easy for small business to use the proposed D/I management system with low cost because the system exploits smart devices and WiFi access points installed previously.