• Journal of Korean Society for Geospatial Information Science
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• v.25 no.2
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• pp.31-37
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• 2017

Recently, governmental authority and local government are looking for a method of utilizing location information of smart phone for urgent rescue in fire and kidnap situation. Under this background, in this study, a method of rapidly collecting, constructing location determination based Wi-Fi AP data utilizing location information of smart phone and mobile mapping system was suggested in order to construct precise positioning information that could be utilized under urgent situation. By performing compensation work for GPS/INS/DMI through collected outcome, position of collected vehicle was acquired. In addition, source data integrating Wi-Fi information and collected position by coupling based on Wi-Fi AP collector and GPS time was constructed and Wi-Fi radiomap was constructed by removing Wi-Fi signal noise that reduces precise position performance. As a result of performing location determination performance assess ment by selecting 10 test positions by each local government, result value of 25.46cm for total local government average and 27.76m for SD could be obtained. It is considered that this result could be utilized as a technology of being able to supplement or substituting GPS location determination technology that is impossible in plocation determination of mobile communication company's base station (200m~2km) and indoor being used at present.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.243-249
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• 2013

In this paper, GPS(Global Positioning System) that can be used outdoors and GPS(Global Positioning System) is not available for indoor Wi-Fi(Wireless Fidelity) using the Android-based location information system has been designed and implemented. Pedestrians in a room in order to estimate the location of the pedestrian's position, regardless of need to obtain the absolute position and relative position, depending on the movement of pedestrians in a row it is necessary to estimate. In order to estimate the initial position of the pedestrian Wi-Fi Fingerprinting was used. Most existing Wi-Fi Fingerprinting position error small WKNN(Weighted K Nearest Neighbor) algorithm shortcoming EWKNN (Enhanced Weighted K Nearest Neighbor) using the algorithm raised the accuracy of the position. And in order to estimate the relative position of the pedestrian, the smart phone is mounted on the IMUInertial Measurement Unit) because the use did not require additional equipment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.935-941
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• 2020

People estimation is important to provide IoT services. Most people counting technologies use camera or sensor data. However, the conventional technologies have the disadvantages of invasion of privacy and the need to install extra infrastructure. This paper proposes a method for estimating the number of people using a Wi-Fi AP. We use channel state information of Wi-Fi and analyze that using deep learning technology. It can be achieved by pre-installed Wi-Fi infrastructure that reduce cost for people estimation and privacy infringement. The proposed algorithm uses a k-binding data for pre-processing process and a 1D-CNN learning model. Two APs were installed to analyze the estimation results of six people. The result of the accurate number estimation was 64.8%, but the result of classifying the number of people into classes showed a high result of 84.5%. This algorithm is expected to be applicable to estimate the density of people in a small space.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.5
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• pp.1339-1355
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• 2023

Localization is a hot research spot for many areas, especially in the mobile robot field. Due to the weak signal of the global positioning system (GPS), the alternative schemes in an indoor environment include wireless signal transmitting and receiving solutions, laser rangefinder to build a map followed by a re-localization stage and visual positioning methods, etc. Among all wireless signal positioning techniques, Wi-Fi is the most common one. Wi-Fi access points are installed in most indoor areas of human activities, and smart devices equipped with Wi-Fi modules can be seen everywhere. However, the localization of a mobile robot using a Wi-Fi scheme usually lacks orientation information. Besides, the distance error is large because of indoor signal interference. Another research direction that mainly refers to laser sensors is to actively detect the environment and achieve positioning. An occupancy grid map is built by using the simultaneous localization and mapping (SLAM) method when the mobile robot enters the indoor environment for the first time. When the robot enters the environment again, it can localize itself according to the known map. Nevertheless, this scheme only works effectively based on the prerequisite that those areas have salient geometrical features. If the areas have similar scanning structures, such as a long corridor or similar rooms, the traditional methods always fail. To address the weakness of the above two methods, this work proposes a coarse-to-fine paradigm and an improved localization algorithm that utilizes Wi-Fi to assist the robot localization in a geometrically similar environment. Firstly, a grid map is built by using laser SLAM. Secondly, a fingerprint database is built in the offline phase. Then, the RSSI values are achieved in the localization stage to get a coarse localization. Finally, an improved particle filter method based on the Wi-Fi signal values is proposed to realize a fine localization. Experimental results show that our approach is effective and robust for both global localization and the kidnapped robot problem. The localization success rate reaches 97.33%, while the traditional method always fails.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.46 no.6
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• pp.56-65
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• 2009

The single device that is combined more than one communication systems in shared band is called collocated system. In this paper, the collocated system is made by combination of Wi-Fi and WiMAX system. Performance of the collocated system is analysed by using two communication model, Collaborative and Non-Collaborative. To minimize the mutual interference between Wi-Fi and WiMAX system in collocated system, the circulator-based collocated system is proposed and analysed it's performance characteristics.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.06a
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• pp.234-236
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• 2014

본 논문은 기존의 T-DMB(Terrestrial Digital Multimedia Broadcasting) 재난 정보 신호를 Wi-Fi(Wireless Fidelity)를 이용하여 재전송하는 기법을 제시한다. 각종 재난이 발생하는 지역의 T-DMB 난시청 구간에 대해서 Wi-Fi 를 이용하여 재난 정보 신호를 재전송함으로써 재난 정보 신호를 받지 못하는 시청자에게 신속한 재난 정보 서비스를 가능하게 해준다. 재난이 발생한 지역에서 T-DMB 재난 정보를 수신할 수 없는 시청자에게 AP(Access Point)를 이용하여 재난 정보를 재전송하는 것이 목적이다. 이에 본 논문에서 제안하는 Wi-Fi 를 이용한 재전송 기법은 T-DMB 신호를 수신하지 못한 시청자에게 재난정보를 효율적으로 재전송함으로써 해당 지역에 더 높은 재난 정보 수신률을 제공할 뿐만 아니라 국민의 생명과 안전을 도모할 수 있다.

• MALSORI
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• no.56
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• pp.135-145
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• 2005

In this paper, a WiFi phone system with distributed speech recognition is implemented. The WiFi phone with voice-activated dialing and its functions are explained. Features of the input speech are extracted and are sent to the interactive voice response (IVR) server according to the real-time transport protocol (RTP). Feature extraction is based on the European Telecommunication Standards Institute (ETSI) standard front-end, but is modified to reduce the processing time. The time for front-end processing on a WiFi phone is compared with that in a PC.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06d
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• pp.311-314
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• 2011

Wi-Fi 메쉬 네트워크는 IEEE 802.11 표준을 기반으로 노트북, 스마트폰 등의 무선 단말에 인터넷 연결을 제공하기 위한 무선 다중 홉 네트워크이다. Wi-Fi 메쉬 네트워크에서는 무선 채널의 방송 특징으로 인해 발생하는 간섭(Interference) 때문에 프레임 충돌 문제가 발생한다. 본 논문에서는 이러한 프레임 간섭을 미연에 방지하는 스케줄링 MAC 프로토콜을 제안한다. 제안하는 방법은 각각의 무선 채널에서 간섭 조건을 만족하는 링크 조합을 결정하고, 이를 통하여 Wi-Fi 메쉬 네트워크의 프레임 전달 수율(Throughput)을 극대화함을 목표로 한다. 시뮬레이션 결과를 통해 본 논문에서 제시하는 스케줄링 MAC 프로토콜이 기존에 알려진 CSMA/CA 기반의 MAC 프로토콜에 비해 수율을 50 % 이상 향상함을 보인다.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.6
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• pp.1143-1150
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• 2017

In this paper, we proposed a method to display a hazard warning of hacking in the UX(: User Experience) concept level for non experts in the open Wi-Fi access area. According to the dangers of the AP raised by capture, we developed an application that provides a warning pop-up on the danger of hacking before using for APs that are distinguished by color and selected.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.641-642
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• 2018

Currently, the performance of positioning technology based on radio wave fingerprint is greatly influenced by the selection of data comparison algorithm. In this case, the accuracy of the indoor positioning can be greatly improved by the data expansion technique necessary for the learning structure. In this paper, we discuss the importance of learning structure that can be applied to actual positioning through classification and extension of learning data to construct learning structure based on Wi-Fi radio fingerprint.