The Location Based Service is growing rapidly nowadays due to the universalization of the use for smartphone, therefore the location determination technology has been placed in an important position. This study suggests a method that can provide the estimate of users’ location by using PDR method and smartphone geomagnetic sensor data. This method assists the measure of enhancing the accuracy of indoor localization. Moreover, it is to study ways to provide the exact indoor layout for evacuating the workers in emergency such as fires and natural disasters.

최근 GPS와 Wi-Fi가 내장된 스마트폰의 보급으로 이를 이용한 위치기반 서비스 (Location-based Service)가 발전하고 있다. 하지만 위치기반 서비스들의 오차 범위는 3∼4m 내외로 크기 때문에 사용자들은 더 정확한 위치를 제공하기를 바라고 있다. 본 논문에서 위치기반 서비스의 핵심기능을 담당하는 측위기술 중 흔히 사용되고 있는 삼각측량법을 활용하여 핑거프린트 방법의 측위오차를 줄일 수 있는 방안을 연구하였 고 프로그램으로 구현한 후 테스트를 실시하였다. 프로그램은 Labview2010으로 구현 하였고, 각각의 알고리즘을 모듈화하여 필터링 적용 전 후 및 개선효과를 비교하기 쉽 도록 구성하였다. 실내 테스트는 인하대학교의 강의실에서 실시하였고 실외 테스트는 인하대학교 운동장에서 실시하였다. 테스트 결과 실내의 경우 본 논문에서 제시하는 필터링 방법을 적용하기 전의 오차가 1.02미터에서 0.83미터로 감소하였고 실외에서는 0.74미터에서 0.54미터로 오차가 감소하였다.

Location-Based Service(LBS) is a service that provides a variety of convenience in life using location information that can be obtained by mobile communication network or satellite signal. In order to provide LBS precisely and efficiently, we need the location determination technology, platform technology and server technology. In this study, we studied on how we can reduce the error on location determination of objects such people and things. Fingerprint location determination method was applied to this study because it can be used at current wireless communication infrastructure and less influenced by a variety of noisy environment than other location determination methods. We converted the probability value to logarithmic scale value because using the sum of k probability values is not suitable to be applied to weight determination. In order to confirm the performance of suggested method, we developed location determination test program with Visual Basic 6.0 and performed the test. According to indoor and outdoor test results, the suggested stochastic method reduced the distance error by 17%, 18% and 9% respectively at indoor environment and 25%, 11% and 4% at outdoor environment compared with deterministic NN, kNN and kWNN fingerprint methods.

Identification of compatible parental line is of great importance in introduction of useful characters to onion breeding program, beyond the severe hybridization barrier. Phylogenic analysis of Allium section Cepa was conducted through PCR by URPs, repeated sequences of A. fistulosum, and microsatellite markers. Totally 76 accessions originated from 21 countries were clustered into five groups at a 0.84-similarity level: group I;A. cepa and its wild relatives and A. cepa ssp. ascalonicum, group II; A. cepa ssp. wakegii, A. cepa ssp. proliferum and Samcheung-pa group III; A. fistulosum and A. altaicum, group IV; A. galanthum, group V; Soeckkori-pa. Samcheung-pa and Soekkori-pa, Korean local varieties, shared band type of both Cepa group and Altaicum group, indicating that those are derived from interspecific hybridization between A. fistulosum and A. cepa.

Allium is one of the largest genera, which has more than 700 species. PCR by URP (universal rice primer) primers was carried out to get phylogenetic information on 26 species, 62 accessions of subgenus Rhizirideum. The accessions were divided into seven groups at 0.76 similarity level. A. tuberosum (Chinese chives) and A. ramosum represented high similarity of 0.91. A. montanum, A. nutans, A. senescens, A. libani, A. odorum, A. austrosibiricum, and A. narcissiflorium grouped at 0.80 similarity. Some of the wild species, such as A. prostratum, A. polyrhizum, A. odorum, and A. mongolicum, showed different band patterns according to polyploidy, occurrence of B-chromosome, collection site, and origin.