• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.258-261
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• 2011

Living in the age of information people face problems related to information overload. Information is easy to produce, store and distribute through various communication channels, one of which is emails. With the appearance of the mobile devices, such as smart phones and tabs, people can have access to email inbox at any moment of time from everywhere. In this paper we present information extraction system with a specific goal of extracting meeting location from the announcement of seminar or conference. We apply a machine learning method (conditional random fields, CRF), train the system using annotated corpus of seminar and conference announcements and validate results by applying various extracted correction rules and patterns. Furthermore, we normalize extracted location, and reference using geo-coding databases, OpenStreetMap and Wikipedia resources to determine real geographical coordinates.

• Journal of the Korea Society of Computer and Information
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• v.22 no.10
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• pp.121-128
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• 2017

In this paper, we propose a multi-label classification method in which multi-label classification estimation techniques are applied to resolving location prediction problem. Most of previous studies related to location prediction have focused on the use of single-label classification by using contextual information such as user's movement paths, demographic information, etc. However, in this paper, we focused on the case where users are free to visit multiple locations, forcing decision-makers to use multi-labeled dataset. By using 2373 contextual dataset which was compiled from college students, we have obtained the best results with classifiers such as bagging, random subspace, and decision tree with the multi-label classification estimation methods like binary relevance(BR), binary pairwise classification (PW).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.3
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• pp.725-732
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• 2011

There are some trials to adopt the RFID/USN technologies at container terminals for effective terminal operations. In this paper, we propose a realtime location recognition method for stacked containers under the assumption that each container has a wireless sensor node to measure the RSSI values from neighbor nodes. We develope an RSSI based location algorithm with performance evaluations by RSSI measurement and application program implementation.

• Journal of the Korea Society of Computer and Information
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• v.21 no.1
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• pp.91-99
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• 2016

A certificate revocation list(CRL) should be distributed quickly to all the vehicles in the network to protect them from malicious users and malfunctioning equipments as well as to increase the overall security and safety of vehicular networks. However, a major challenge is how to distribute CRLs efficiently. In this paper, we propose a novel Regional CRL distribution method based on the vehicle location registration locally to manage vehicle mobility. The method makes Regional CRLs based on the vehicles' location and distributes them, which can reduce CRL size and distribution time efficiently. According to the simulation results, the proposed method's signaling performance of vehicle's registration is enhanced from 22% to 37% compared to the existing Regional CRL distribution method. It's CRL distribution time is also decreased from 37% to 67% compared to the existing Full CRL distribution method.

• The Transactions of the Korea Information Processing Society
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• v.4 no.11
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• pp.2812-2821
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• 1997

In this paper, we presents performance analysis of a location registration protocol using cluster concept to minimize the number of location registrations caused by reduction of cell size and explosive increasement of wireless communication subscribers. We analyze the relationship between the size of cluster and the location registration rate, and finally we apply this analysis to the hexagonal cell structure for justification.

• 한국공간정보시스템학회:학술대회논문집
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• 2002.11a
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• pp.101-120
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• 2002

• 한국공간정보시스템학회:학술대회논문집
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• 2002.11a
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• pp.139-146
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• 2002

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.5
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• pp.1207-1214
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• 2014

Recently it has become easier to figure out cargo positional information by using GPS(Global Positioning System) and wireless communication technology. The acceleration of globalization in the shipping logistics is ever more increasing the need to provide visibility, traceability and real time informations of entry, departure of vessel including cargo and status of logistic vehicle entry into each logistic base. Providing such positional information to logistics party by using wireless communication technology can bring effective operation of supply chain and reduction in logistics costs. In the previous paper, I suggested a global location tracking system based on GPS data in global shipping logistics by means of software using GPS data. However, the previous system had a problem of being inadequate to figure out a real time location movement information and was unsatisfactory on quickly searching and checking the location of global logistics hubs according to the longitude and latitude coordinates. Hence, in this paper, I suggest a real-time location tracking system that provided real-time location of the container cargos and logistics hubs can be searched quickly according to the GPS coordinates in global shipping logistics.

• Journal of Korea Spatial Information System Society
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• v.8 no.2 s.17
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• pp.75-89
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• 2006

LBS (Location-Based Service) systems have become a serious subject for research and development since recent rapid advances in wireless communication technologies and position measurement technologies such as global positioning system. The architecture named the GALIS (Gracefully Aging Location Information System) has been suggested which is a cluster-based distributed computing system architecture to overcome performance losses and to efficiently handle a large volume of data, at least millions. The GALIS consists of SLDS and LLDS. The SLDS manages current location information of moving objects and the LLDS manages past location information of moving objects. In this thesis, we implement a monitoring technique for the GALIS prototype, to allow dynamic load balancing among multiple computing nodes by keeping track of the load of each node in real-time during the location data management and spatio-temporal query processing. We also propose a buffering technique which efficiently manages the query results having overlapped query regions to improve query processing performance of the GALIS. The proposed scheme reduces query processing time by eliminating unnecessary query execution on the overlapped regions with the previous queries.

• Journal of Internet Computing and Services
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• v.12 no.4
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• pp.173-180
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• 2011

Various smart-phone applications for location-based service are enabled through mobile communications such as 3G and WiFi. We have developed MARS, an advanced location-based route-search application based on the Android platform. It provides three functions: route-registration, route-search, and route-evaluation. These functions are dynamically maintained by a web server, a database server, and user mobile terminals. As users can update location information using their smart-phone devices, servers provide the information and allow users to add, modify, and remove their own information as well as adding comments to others, while existing map services do not support direct inputs from users. We show our implementation process and demonstration of its operations. We also show the comparison results with existing services. Through these results, we can confirm that MARS can achieve better performance.