• Title/Summary/Keyword: Mobile Service Network

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Intelligent Character System using Emotion Metadata (감성 메타데이터를 활용한 지능형 캐릭터 시스템)

  • Han, Jong-Sung;Lee, Wan-Bok;Kyung, Byung-Pyo;Lee, Dong-Lyeor;Ryu, Seuc-Ho;Lee, Kyoung-Jae
    • The Journal of the Korea Contents Association
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    • v.9 no.3
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    • pp.99-107
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    • 2009
  • As the information and the network technology are improved, the system which can express the interactions between the individuals becomes to play more important roles in these days. In fact, that tendency is especially well shown in the community area of P2P and social network service programs. This paper suggest an intelligent character manipulation system which can be effectively used to express emotional representation in an intelligent way in spite of many constraints. The system employs an emotion searching mechanism by attaching emotional information to each object in the database and defining a function of emotional similarity. It is expected that the system can be successfully used not only to find and represent the suitable emotional character representations but also to provide brand new services in the area of mobile platform based contents.

Mobility-Aware Interference Avoidance Scheme for Vehicular WLANs

  • Park, Lai-Hyuk;Na, Woong-Soo;Lee, Gun-Woo;Lee, Chang-Ha;Park, Chang-Yun;Cho, Yong-Soo;Cho, Sung-Rae
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.12
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    • pp.2272-2293
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    • 2011
  • Communication technology of future networks is predicted to provide a large variety of services including WiFi service in vehicular network. In this paper, we assume that vehicles are embedded with WiMAX antenna and in-vehicle terminals receive WiMAX traffic through WiFi interface. This assumption will impose severe performance degradation due to interference among mobile BSSs when WiFi access points (APs) are densely located. Existing interference avoidance techniques cannot properly resolve the above problems and do not cope with dynamically moving vehicular scenario since they focus only on the fixed network topology. In this paper, we propose a mobility-aware interference avoidance scheme for WiFi services. The proposed scheme computes the interference duration by exploiting mobility vector and location information of neighboring APs. If the interference duration is not negligible, our scheme searches for another channel in order to avoid interference. However, if the interference duration is negligible, our scheme continues to use the channel to reduce switching overhead. To measure the effectiveness of the proposed scheme against other existing techniques, we evaluated performance by using OPNET simulator. Through the simulation, we obtained about 60% reduction in the maximum interference frequency and about 67% improvement in throughput. Furthermore, our scheme provides fair channel usage.

Power Efficient Cell Searching Algorithm to Support Mobility in Portable Digital Broadcasting Networks (휴대용 디지털 방송망에서의 이동성지원을 위한 전력 효율적인 셀 탐색 기법)

  • Park, Hyung-Kun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.8
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    • pp.1574-1581
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    • 2007
  • DVB-H (Digital Video Broadcasting for Handhold) is a new standard, currently being developed for a portable digital broadcasting, which enhance the multimedia broadcasting service in the Euroapean standard DVB-T (DVB-Terrestrial). Seamless mobility and power saving are essential requirements in the DVB-H system. To support seamless mobility, DVB-H system should provides seamless handover for mobile stations in the MFN (multi frequency network). For seamless handover, the receiver should monitor neighboring cells and it increases the power consumption. And so, power efficient sell searching algorithm for seamless handover is required. In this paper, we propose hypothesis feeling based handover algorithm to enhance the power efficiency by using the fast cell searching, and analyze the performance of handover schemes through the numerical evaluation and simulation.

Implementation of Two-way Data Link using the Thuraya Geostationary Orbit Satellite (Thuraya 정지궤도 위성을 이용한 양방향 데이터 링크 구현)

  • Jang, Won-Chang;Lee, Myung-Eui
    • Journal of Advanced Navigation Technology
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    • v.23 no.5
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    • pp.333-338
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    • 2019
  • Satellite communication is not used by many people like mobile communication, but it is a necessary technology for public service and communication services, such as providing the Internet in military, disaster, remote education and medical services, island areas, and infrastructure vulnerable areas. However, most communication modems have problems with two-way communication with server as IP addresses are assigned to floating IP that change every time they communicate with the network. In this paper, we used the Raspberry Pi as the controller of the terminal device to communicate the network through the satellite modem and the PPP protocol, and to solve the problem of the modem with the floating IP, we used the text message function of the satellite modem. Through this process, two-way data links using the Thuraya geostationary orbit satellite were implemented.

Healthcare Application based on Radio Frequency (무선 통신 기반의 헬스케어 어플리케이션)

  • Seo, Jung-hee;Park, Hung-bog
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.899-902
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    • 2009
  • As computer network and wireless technology continue to grow rapidly, a wide range of remote application has been applied to medical field such as remote medical consulting and remote patient monitoring. This research aims to design RF telecommunication-based healthcare application to collect and manage patient's physiological data, and describe the overall procedure of experiment. MySQL database is designed to record patient's physiological data including temperature, blood pressure and heart rate and save information about medical behaviors such as doctor's prescription for patients. Therefore, users approved by healthcare application can query patient's data and collected data can be used to reorganize data for clinical test. As a result, temperature and humidity of patient's room which must be checked frequently can be processed automatically through ubiquitous sensor network. The information entered from mobile phones or web is saved in database, ensuring systematical management through computer. Moreover, patient's family members can easily access hospital data, improving their experience with medical service.

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A Study of TCP LINK based Real-Time Secure Communication Research in the Ocean (해상에서 실시간 TCP 링크관절 보안통신 연구)

  • Yoo, Jaewon;Park, Dea-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.250-253
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    • 2014
  • Due to limited resource, marine communication is severely limited when compared to communications in land. Radio relay facilities, etc. based on a wired network through a long distance communication is possible. In addition, the aircraft is in the air, the ground-based network service based on long-range straight-line distance and elevation (LOS: Line of Sight) communications. On the other hand, the distance in a straight line to the sea, the sea level because communication is limited or through satellite, underwater communications relay equipment installed in the communication scheme has been investigated.. In this paper, using TCP-based real-time joint maritime security communication links were studied. Harsh marine environment, real-time communication that can provide secure communications and propose a LINK joint. In this study, more secure, and convenient communications at sea, a plan was presented to you.

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Improved Sensor Filtering Method for Sensor Registry System (센서 레지스트리 시스템을 위한 개선된 센서 필터링 기법)

  • Chen, Haotian;Jung, Hyunjun;Lee, Sukhoon;On, Byung-Won;Jeong, Dongwon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.1
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    • pp.7-14
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    • 2022
  • Sensor Registry System (SRS) has been devised for maintaining semantic interoperability of data on heterogeneous sensor networks. SRS measures the connectability of the mobile device to ambient sensors based on positions and only provides metadata of sensors that may be successfully connected. The step of identifying the ambient sensors which can be successfully connected is called sensor filtering. Improving the performance of sensor filtering is one of the core issues of SRS research. In reality, GPS sometimes shows the wrong position and thus leads to failed sensor filtering. Therefore, this paper proposes a new sensor filtering strategy using geographical embedding and neural network-based path prediction. This paper also evaluates the service provision rate with the Monte Carlo approach. The empirical study shows that the proposed method can compensate for position abnormalities and is an effective model for sensor filtering in SRS.

CNN-based Adaptive K for Improving Positioning Accuracy in W-kNN-based LTE Fingerprint Positioning

  • Kwon, Jae Uk;Chae, Myeong Seok;Cho, Seong Yun
    • Journal of Positioning, Navigation, and Timing
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    • v.11 no.3
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    • pp.217-227
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    • 2022
  • In order to provide a location-based services regardless of indoor or outdoor space, it is important to provide position information of the terminal regardless of location. Among the wireless/mobile communication resources used for this purpose, Long Term Evolution (LTE) signal is a representative infrastructure that can overcome spatial limitations, but the positioning method based on the location of the base station has a disadvantage in that the accuracy is low. Therefore, a fingerprinting technique, which is a pattern recognition technology, has been widely used. The simplest yet widely applied algorithm among Fingerprint positioning technologies is k-Nearest Neighbors (kNN). However, in the kNN algorithm, it is difficult to find the optimal K value with the lowest positioning error for each location to be estimated, so it is generally fixed to an appropriate K value and used. Since the optimal K value cannot be applied to each estimated location, therefore, there is a problem in that the accuracy of the overall estimated location information is lowered. Considering this problem, this paper proposes a technique for adaptively varying the K value by using a Convolutional Neural Network (CNN) model among Artificial Neural Network (ANN) techniques. First, by using the signal information of the measured values obtained in the service area, an image is created according to the Physical Cell Identity (PCI) and Band combination, and an answer label for supervised learning is created. Then, the structure of the CNN is modeled to classify K values through the image information of the measurements. The performance of the proposed technique is verified based on actual data measured in the testbed. As a result, it can be seen that the proposed technique improves the positioning performance compared to using a fixed K value.

Application of Information Technologies to Improve the Quality of Services Provided to the Tourism Industry Under the COVID-19 Restrictions

  • Iudina, Elena Vladimirovna;Balova, Suzana L.;Maksimov, Dmitrij Vasilievich;Skoromets, Elena Klimentinovna;Ponyaeva, Tatyana Anatolyevna;Ksenofontova, Ekaterina Andreevna
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.7-12
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    • 2022
  • The modern stage of society's development is characterized by the rapid penetration of information technologies into all spheres of life. Their use contributes to improving the quality of tourism services, as well as the competitiveness of tourism industry enterprises. The role of information technology in tourism is growing more and more every year, which determines the relevance of the study of modern trends in the use of information technology in the tourism sector. The purpose of the study is to determine the possibilities of using information technologies to improve the quality of services provided to the tourism industry under the COVID-19 restrictions. The article systematizes the main approaches to the "cluster" category and provides an original definition of the "regional tourist cluster" concept. Based on an expert survey, the main trends in the introduction of information technologies in the tourism industry under the COVID-19 restrictions have been identified, which include virtual reality and augmented reality, speech recognition technologies, photo, video, audio (contactless control technologies), mobile IT applications and Big Data technologies. It has been concluded that the vast majority of improvements in the organization of tourism services under restrictions will be based on the organization of virtual solutions and online activities. The types of tourism services will also change, and information technology will help their development and dissemination.

Personal Information Protection Recommendation System using Deep Learning in POI (POI 에서 딥러닝을 이용한 개인정보 보호 추천 시스템)

  • Peng, Sony;Park, Doo-Soon;Kim, Daeyoung;Yang, Yixuan;Lee, HyeJung;Siet, Sophort
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.377-379
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    • 2022
  • POI refers to the point of Interest in Location-Based Social Networks (LBSNs). With the rapid development of mobile devices, GPS, and the Web (web2.0 and 3.0), LBSNs have attracted many users to share their information, physical location (real-time location), and interesting places. The tremendous demand of the user in LBSNs leads the recommendation systems (RSs) to become more widespread attention. Recommendation systems assist users in discovering interesting local attractions or facilities and help social network service (SNS) providers based on user locations. Therefore, it plays a vital role in LBSNs, namely POI recommendation system. In the machine learning model, most of the training data are stored in the centralized data storage, so information that belongs to the user will store in the centralized storage, and users may face privacy issues. Moreover, sharing the information may have safety concerns because of uploading or sharing their real-time location with others through social network media. According to the privacy concern issue, the paper proposes a recommendation model to prevent user privacy and eliminate traditional RS problems such as cold-start and data sparsity.