• Journal of the Korea Society for Simulation
• /
• v.19 no.2
• /
• pp.137-145
• /
• 2010

This study presents an RTS(Real-time Traffic System) based on an LBS(Location Based Service) using 5.8~5.9GHz RSU(Road Side Unit). The proposed LBI(Location based Broadcast system on ITS) is a local information-based service supported by RSU for drivers, which has a feature of convergence between T-DMB system and ITS-based RTS. The convergence of local broadcasting station and ITS is realized by two-way communication and supports LBS(Location Based Service) by identifying of vehicle's location using RSU. Real-time information delivery and various services could be provided by information exchanges between LMM and local broadcasting stations. Furthermore, conventional technical limitations have been solved mutually such as transmission area limitation in RTS and one-way communication problem in T-DMB. This support real-time two-way communication to each driver. Therefore, it can be expected that traffic dispersion effects and services expansion for drivers by RTS and LBI. Finally, it is proposed to built and implement test-bed around institute.

• Journal of KIISE
• /
• v.42 no.2
• /
• pp.272-279
• /
• 2015

Concurrent with the more widespread usage of smart devices, mobile users' desires are becoming much more complex. Most IT experts insist that smart devices should have additional functions to satisfy these requirements. In particular, research has concentrated on LBS (Locationbased Service), because it is considered one of the most common mobile service types. Generally, Wi-Fi has a critical limitation for use for LBS services, because it requires new network connection points whenever its location (Network Zone) changes. Unfortunately, GPS also has a systematic problem in providing LBS service in the indoor environment, because of its inaccuracy in processing data. So, to redress these limitations, iBeacon technology has been designed, and is currently used for LBS service instead of Wi-Fi or GPS. By using iBeacon, which is based on Bluetooth 4.0 LE technology, we propose a M-SAS (Mobile-Subway-Alarm-Service System) that could accurately and timely provide its users with various mLBS (micro LBS) services, such as current user location, and subway arrival time.

• The Journal of the Korea Contents Association
• /
• v.16 no.9
• /
• pp.1-11
• /
• 2016

The purpose of this study is to examine the factors influencing relationship quality and L-Loyalty in Location-Based Service (LBS). This model tests various theoretical research hypotheses relating to LBS, relationship quality, and L-Loyalty. The target population of this study is LBS users. The results of hypothesis testing are as follows. First, personalization and perceived value positively influence commitment and perceived risk negatively influence commitment. Second, personalization, ubiquity, and perceived value positively influence satisfaction and perceived risk negatively influence satisfaction. Finally, commitment and satisfaction positively influence L-Loyalty. The results of the study will provide various implications to improve relationship quality and to secure high loyalty customers in LBS.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.14 no.7
• /
• pp.865-870
• /
• 2004

Development of new information and traffic technology causes fast-growing in the field of information-based system. At recent, development of LBS(Location Based Service) makes a remarkable growth of industry as GPS(Global Positioning System) becomes wide-spread and location information becomes more important. However, there is a problem like infringement of privacy when location information is used improperly［1］. In this paper, LBS platform is proposed in order to prevent infringement of privacy. To implement, we classify user path as pattern in a zone of user life. Thereupon, location information is provided according to user' specific situation.

• Proceedings of the Korea Contents Association Conference
• /
• 2017.05a
• /
• pp.401-402
• /
• 2017

Advances in the Internet and network technology and the rapidly growing number of personal devices result in the fast growth of E-Commerce, M-Commerce. Nowadays, location-based services are widely used in E-commerce. A location-based service (LBS) is a service based on the geographical positions of mobile handheld devices such as smart phones or tablet computers. In this paper I will view the combination of the E-commerce and LBS.

• Journal of Information Processing Systems
• /
• v.10 no.4
• /
• pp.618-627
• /
• 2014

Nowadays mobile users are using a popular service called Location-Based Services (LBS). LBS is very helpful for a mobile user in finding various Point of Interests (POIs) in their vicinity. To get these services, users must provide their personal information, such as user identity or current location, which severely risks the location privacy of the user. Many researchers are developing schemes that enable a user to use these LBS services anonymously, but these approaches have some limitations (i.e., either the privacy prevention mechanism is weak or the cost of the solution is too much). As such, we are presenting a robust scheme for mobile users that allows them to use LBS anonymously. Our scheme involves a client side application that interacts with an untrusted LBS server to find the nearest POI for a service required by a user. The scheme is not only efficient in its approach, but is also very practical with respect to the computations that are done on a client's resource constrained device. With our scheme, not only can a client anonymously use LBS without any use of a trusted third party, but also a server's database is completely secure from the client. We performed experiments by developing and testing an Android-based client side smartphone application to support our argument.

• Knowledge Management Research
• /
• v.18 no.1
• /
• pp.159-176
• /
• 2017

Recently, the popularity of smartphones has led to a dramatic increase in the frequency of use of App(Application) services. LBS (Location-Based Service) App service adopts various methods such as push marketing and useful information by region through providing location-based service based on the location of the consumer. In particular, an enterprise or an App management company can provide necessary information to the consumer through the necessary information among the customer related knowledge information obtained by utilizing the location information of the consumer in real time. Nevertheless, since LBS is a service that can be performed only when the company obtains consent to provide location information voluntarily by the consumer, there is a case of privacy infringement due to consumers' use of personal information. The purpose of this study is to identify the characteristics of privacy related variables and the knowledge structure for consumer value formation based on the theory of privacy calculation. We also compared the characteristics of Korea with those of China in privacy issue. As a result of the analysis, it was confirmed that factors such as information utilization ability and information control ability were influential as a key factor of privacy calculation. In addition, perceived value influences the reputation of the LBS App service.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2007.10a
• /
• pp.665-668
• /
• 2007

The location based service means the service using the location information and the service used based on the location information comes into the spotlight as the critical information of the future mode townsman ubiquitous-City construction. LBS settles down as the core element of ITS or the telematics as the cutting edge technology appearing according to the power generation of the mobile communication technology and recently gradually broadens a range to the public safety service including the distribution management, the asset management, a children and old and the weak protection means, the disaster preparation rescue service like the E-911 of U.S. In the national, the technical regulations about the ground wave LBS was established at November 2005 for the first time in the country. but it actually operated and problems were deduced. Therefore, in this paper, domestic and foreign LBS usage trend and technical standards case try to be analyzed for the revision of the technical regulations of the ground wave LBS serviced in the national and the national technical standards bill for the revision tries to be prepared based on this.

• Journal of Korea Society of Industrial Information Systems
• /
• v.16 no.5
• /
• pp.55-62
• /
• 2011

Recently, LBS(Location Based Service) is expanding its service areas with the spread of smart phones and the contents of the service are more individualized according to the customer's needs. Specially, LBSNS(Location Based Social Network Service) is emerging as the most promising service of LBS. This paper introduces a LBSNS model to form a community to share common contents dynamically centering around the place of user's smart phone. The methodology suitable for implementing the effective management and the automatic update of the community of social network is presented in this paper. In addition, we describe the significant future researches of LBSNS under the upcoming mobile environment.

• Journal of Information Technology Applications and Management
• /
• v.12 no.1
• /
• pp.157-172
• /
• 2005

Recently, location-based service (LBS) is a hot issue in the field of computer applications. So many papers introducing new techniques of implementing a LBS and new application fields of LBS have been published recently. However, to the best of our knowledge, none of them discusses feasibility test in the prior to the implementation. The importance of a feasibility test for a design prior to the implementation cannot be overemphasized. This paper presents a method of feasibility test for a LBS design. Our method performs three steps. At the first step, we build a Petri net model of the LBS system which is depicted in natural language. The second step is to analyse the Petri net to find errors and flaws in the design. We also improve the Petri net model by fixing the errors and flaws in this step. A feasibility test is the third and final step. In this step. we verify if the design satisfies the user's requirement in the senses of quality of service (QoS) and of minimizing the implementation cost. The third step is performed in the manner of mathematical analysis of the Petri net.