• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.4
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• pp.84-92
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• 2009

In this paper, using the received signal strength of radio beacon such as Wi-Fi, Bluetooth, CDMA and GPS signal from the satellite, we propose the system of positioning which considered indoor and outdoor based on the Place Lab. Conventional Place Lab utilize the various positioning parameters to estimate the indoor location. However, this conventional system has limitations with respect to the range and efficiency of usage. Therefore, we defined the converged model of multisensor data and re-organized the Place Lab to overcome the limitation of a conventional system. Proposed system uses the radio beacon signal and GPS signal together to estimate the location. Furthermore, it provides the seamless PNS service with many mobile devices because this system realized by the OSGi bundle. This proposed system has evaluated the performance with SAMSUNG T*OMNIA SCH-M490 smart phone and the result shows the system is able to support the PNS service.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.119-132
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• 2016

This study examined the concept and usage moderated mediating model in structural equation modeling. The theoretical model and hypothesis were developed based on the Location-Based application's Expectancy disconfirmation, Location-Based application's satisfaction, Location-Based application's continuous usage intention, service trust. The statistical results of the two model were compared: one was free model(positive/negative) and the other was the Moderated Mediating Model(positive/negative). A structure equation model analysis was carried out to test the research model. Further studies are necessary to Ssupport the research hypotheses.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.6
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• pp.1481-1487
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• 2014

Recently, with the popularization of smartphones, augmented reality has become even more familiar to the public as an application that can provide realistic images as a tool for location-based services. Therefore, as a location-based application for smartphones that is appropriate for the application of augmented reality technology, the study develops a golf information system. Golf is the sport for which we should exactly know the accurate shape or distance to the destinations or obstacles, so the sport is suitable for applying the augmented reality technology. Even though the sport of golf has constantly increasing population to play it with the popularization of it, presently released golf-related smartphone apps are established as 2D images or in GPS basis; thus, they lack a sense of realism unfortunately. Thereupon, this study develops a golf information system by modifying and complementing usefully Mixare, the open source for augmented reality, for the sport of golf into an augmented reality-based system that can provide various information according to the actual environment of the golf course and describes how to apply it actually to the golf course.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.5
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• pp.851-856
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• 2015

As crime has actually increased in recent years, various mobile applications related to safety and emergency measure have received much attention. Therefore, IoT (Internet of Things) technologies, which connect various physical objects with Internet communication, have been also paid attention and then diverse safety services based on IoT technologies have been on the increase. However, existing mobile safety applications are simply based on location based service (LBS). Also, as they are independently operated without the help of another safety systems, they cannot efficiently cope with various safety situations. So, this paper proposes the efficient smart safety service architecture with both the risky situation detection using user location as well as various sensing information and the risk congruence measure using the streetlight infrastructure. Additionally, UDID (unique device identifier) is utilized for the secure communication with the control center.

• Journal of Digital Contents Society
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• v.18 no.5
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• pp.803-810
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• 2017

Currently, every person possesses a smart phone due to the development of the IT industry. There is an improper situation in which a smart phone is not set in silent mode, such as a lecture room, a library, and a theatre hall. The proposed system automatically automates the function of smart phones where they are designated as a public place or etiquette area and automatically return the function of the smartphone if they deviate from the location of the site. It is also equipped with a combination of autonomous devices and services, based on Bluetooth communications, which are applied to ultra-light low-power IoT(Internet of Things) devices, and has features that allow diverse types of features and services to be added without requiring deformation of the hardware.

• Journal of the Korea Society of Computer and Information
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• v.17 no.12
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• pp.229-239
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• 2012

In 2011, more than 2000 million smartphone users are in our country. As a result, consumer demand have been developed for a variety of applications, especially in the information service-related applications that combine location-based services and augmented reality in addition to related information for the virtual reality of things are rapidly increased. This paper analysed location-based services and augmented reality technology as related research and designed and implemented the system that provides the same environment as if the user is shopping and purchasing the items in the real world and offers the information characterizing the real situation combines location-based service and augmented reality which provides with an excellent reality in the smart phone environment. The proposed system in this paper is excellent in mobility, scalability and reality as a result of analysis of functions and services compared to web-based systems and has advantages to apply for the suitable system in ubiqutous environment which can be used in anytime and anywhere.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.6
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• pp.631-636
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• 2019

In recently, various kinds of services utilizing the location information of the user's smart phone have appeared. Based on this trend, we designed a new type of learning assistant system that utilizes geofencing technology, which is a field of location information technology. This system identifies the location of the classroom using the location information of learner's the smart phone and automatically provides the necessary learning contents to the learner's smart phone when the learner enters the classroom set as the virtual fence area while carrying the smart phone respectively. Our system provides learning contents in a form similar to the form of a message or a mobile coupon and learners are used to such mobile service environments very much. So the use of learning contents provided by our system is expected to help improve the learning effect of learners.

• Journal of Platform Technology
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• v.9 no.4
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• pp.51-59
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• 2021

In this paper, we propose a location-based service that the user's location is known by connection history to WI-FI AP installed in a facility known its location previously. The location-based service proposed in this paper manages job processing states of technicians who inspect and maintain the facility like elevator by using worker's location and arrival time information. The job scheduling management method proposed in this paper is based on previously scheduled arrival time and actual arrival time to a target facility. And we experimentally implemented the inspection and maintenance system of an elevator to show the feasibility of job schedule management based on location and arrival time information acquired from Wi-Fi AP connection history. Our experimental implementation shows that our proposed method is usefulness in the field of the inspection and maintenance of a facility.

• Journal of Platform Technology
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• v.10 no.1
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• pp.11-19
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• 2022

In this paper, we propose a location-based service that the user's location is known by connection history to WI-FI AP installed in a facility known its location previously. The location-based service proposed in this paper manages job processing states of technicians who inspect and maintain the facility like elevator by using worker's location and arrival time information. The job scheduling management method proposed in this paper is based on previously scheduled arrival time and actual arrival time to a target facility. And we experimentally implemented the inspection and maintenance system of an elevator to show the feasibility of job schedule management based on location and arrival time information acquired from Wi-Fi AP connection history. Our experimental implementation shows that our proposed method is usefulness in the field of the inspection and maintenance of a facility.

• Journal of Internet Computing and Services
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• v.12 no.1
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• pp.99-110
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• 2011

Mobile environments rapidly changing and digital convergence widely employed, mobile devices including smart phones have been playing a critical role that changes users' lifestyle in the areas of entertainments, businesses and information services. The various services using mobile devices are developing to meet the personal needs of users in the mobile environments. Especially, an LBS (Location-Based Service) is combined with other services and contents such as augmented reality, mobile SNS (Social Network Service), games, and searching, which can provide convenient and useful services to mobile users. In this paper, we design and implement the prototype of mobile personal assistant (PA) agents. Our personal assistant agent helps users do some tasks by hiding the complexity of difficult tasks, performing tasks on behalf of the users, and reflecting the preferences of users. To identify user's preferences and provide personalized services, clustering and classification algorithms of data mining are applied. The clusters of the log data using clustering algorithms are made by measuring the dissimilarity between two objects based on usage patterns. The classification algorithms produce user profiles within each cluster, which make it possible for PA agents to provide users with personalized services and contents. In the experiment, we measured the classification accuracy of user model clustered using clustering algorithms. It turned out that the classification accuracy using our method was increased by 17.42%, compared with that using other clustering algorithms.