• Title/Summary/Keyword: Location Data Management

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The Analysis on Location and Service Factors Affecting the Management and Use of Judo Gym (유도체육관 운영 및 이용에 영향을 미치는 입지와 서비스 요인 분석)

  • Lee, Do-Heui;Oh, Kyung-Ah
    • Journal of the Korean Applied Science and Technology
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    • v.36 no.2
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    • pp.507-523
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    • 2019
  • This purpose of study was to Analysis on Location and Service Factors Affecting the Management and Use of Judo Gym. This study aims at providing fundamental data and information on Judo coach by studying what effects of location and use factor on trainee satisfaction. The survey was done through 350 copies and excluding 11 copies ran an analysis on the remaining 339(96.8%) copies. After question investigating the data which is collected used IBM SPSS statistics 21 program, frequency analysis, Exploratory factor analysis, Cronbach's ${\alpha}$, correlation analysis, multiple regression. The result of this study were as follows. First, management, location, coach, trainee value, facility, communication in Judo gym location and use factors showed (+) effects on trainee satisfaction. Second, Program operation, Gym quit use, Whether or not to insure in management factor showed (+) effects on trainee satisfaction. Third, Coach credibility in coach factor showed (+) effects on trainee satisfaction. Forth, Member communication in communication factor showed (+) effects on trainee satisfaction. Fifth, Wholesome leisure, Athletic ability improving in trainee value factor showed (+) effects on trainee satisfaction. Sixth, main facility level, additional facility level in facility factor showed (+) effects on trainee satisfaction. Seventh, Visibility in location factor showed (+) effects on trainee satisfaction. And location type(station area, residential district, commercial area) of Judo gym showed (+) effect on management, trainee value, location, communication, facility.

A Study on the Decision Factors and Satisfaction of SMEs

  • Yongsang PARK;Jaetae KIM
    • The Journal of Economics, Marketing and Management
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    • v.11 no.3
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    • pp.81-92
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    • 2023
  • Purpose: The purpose of this study is to identify the determinants of store occupancy based on the rental characteristics of small and medium-sized enterprises (SMEs) renting buildings across the country, and to analyze the satisfaction level after opening. Research design, data and methodology: The study conducted an empirical survey through questionnaires targeting individual business owners, corporate representatives, and executives and employees nationwide, including Seoul, Gyeonggi, and other metropolitan areas and provincial cities. Results: In this study, the most important factor that SMEs consider when deciding whether to rent a commercial building or office is financial characteristics, followed by management characteristics, location characteristics, building characteristics, and facility characteristics. In addition, management characteristics were found to have the greatest impact on rental satisfaction of SMEs, followed by financial characteristics, building characteristics, and location characteristics in order. Conclusions: Since the lessor cannot immediately improve the location characteristics or building characteristics, in order to increase the rental satisfaction of small and medium-sized businesses in a relatively short period of time, it is necessary to improve managerial characteristics such as prompt civil complaint handling and clean management of the building. In addition, it is analyzed that if the factors that can reduce the burden on the tenants are found in advance and reflected in the financial characteristics, the satisfaction of the tenants can be increased.

Design and Implementation of a Vehicle Management System for Effective Retrieval of Vehicle Locations (효과적인 차량 위치 검색을 위한 차량 관리 시스템의 설계 및 구현)

  • Lee Eung Jae;Oh Jun Seok;Jung Young Jin;Nam Kwang Woo;Lee Bong Gyou;Ryu Keun Ho
    • Journal of KIISE:Databases
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    • v.32 no.1
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    • pp.71-85
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    • 2005
  • Various researches on moving object modeling, uncertainty processing, and moving object indexing have been tarried out in the field of moving object databases. However. previous location tracking systems cannot efficiently retrieve location data of vehicles, because they manage all location information of vehicles using the conventional database. In this paper, we design the vehicle location management systen that is able to manage and retrieve vehicle locations efficiently in mobile environment. The proposed system consists of a server for managing vehicle locations and mobile clients. The system is able to not only process spatiotemporal queries related to locations of moving vehicles but also Provide moving vehicles' locations which are not stored in the system. The system is also able to manage vehicle location data effectively using a moving object index.

Location Awareness Method using Vector Matching of RSSI in Low-Rate WPAN (저속 WPAN에서 수신신호세기의 Vector Matching을 이용한 위치 인식 방식)

  • Nam Yoon-Seok;Choi Eun-Chang;Huh Jae-Doo
    • Journal of Information Technology Applications and Management
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    • v.12 no.4
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    • pp.93-104
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    • 2005
  • Recently, RFID/USN is one of fundamental technologies in information and communications networks. Low-Rate WPAN, IEEE802.15.4 is a low-cost communication network that allows wireless connectivity in applications with limited Power and relaxed throughput requirements. Its applications are building automation, personal healthcare, industrial control, consumer electronics, and so on. Some applications require location information. Of course location awareness is useful to improve usability of data Low-Rate WPAN Is regarded as a key specification of the sensor network with the characteristics of wireless communication, computing, energy scavenging, self-networking, and etc. Unfortunately ZigBee alliance propose a lot of applications based on location aware technologies, but the specification and low-rate WPAN devices don't support anything about location-based services. RSSI ( Received Signal Strength indication) is for energy detection to associate, channel selection, and etc. RSSI is used to find the location of a potable device in WLAN. In this paper we studied indoor location awareness using vector matching of RSSI in low-Rate wireless PAN. We analyzed the characteristics of RSSI according to distance and experimented location awareness. We implemented sensor nodes with different shapes and configured the sensor network for the location awareness with 4 fixed nodes and a mobile node. We try to contribute developing location awareness method using RSSI in 3-dimension space.

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Study of Location-based Routing Techniques of BS and Sensor Node (BS와 센서 노드의 위치 기반 라우팅 기법에 관한 연구)

  • Kim, Yong-Tae;Jeong, Yoon-Su
    • Journal of Digital Convergence
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    • v.10 no.9
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    • pp.289-295
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    • 2012
  • Routing technique of wireless sensor network that is presented to improve effectiveness of consumption in energy at the previous study is existing in various ways, however for routing, its own location data and nodes' location data close to with 1-hop distance should be kept. And it uses multi-hop transmission method that transmits data to BS node via several nodes. This technique makes electronic consumption of sensor node and entire network's energy consumption so that it makes effective energy management problem. Therefore, this paper suggests location based 1-hop routing technique of BS node that satisfies distance $d{\pm}{\alpha}$ with source node using RSSI and radio wave range of sensor node.

Distributed Moving Objects Management System for a Smart Black Box

  • Lee, Hyunbyung;Song, Seokil
    • International Journal of Contents
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    • v.14 no.1
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    • pp.28-33
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    • 2018
  • In this paper, we design and implement a distributed, moving objects management system for processing locations and sensor data from smart black boxes. The proposed system is designed and implemented based on Apache Kafka, Apache Spark & Spark Streaming, Hbase, HDFS. Apache Kafka is used to collect the data from smart black boxes and queries from users. Received location data from smart black boxes and queries from users becomes input of Apache Spark Streaming. Apache Spark Streaming preprocesses the input data for indexing. Recent location data and indexes are stored in-memory managed by Apache Spark. Old data and indexes are flushed into HBase later. We perform experiments to show the throughput of the index manager. Finally, we describe the implementation detail in Scala function level.

Optimal Fingerprint Data Filtering Model for Location Based Services (위치기반 서비스 강화를 위한 최적 데이터 필터링 기법 및 측위 시스템 적용 모델)

  • Jung, Jun;Kim, Jae-Hoon
    • Korean Management Science Review
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    • v.29 no.2
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    • pp.79-90
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    • 2012
  • Focusing on the rapid market penetration of smart phones, the importance of LBS (Location Based Service) is drastically increased. However, traditional GPS method has critical weakness caused by limited availability, such as indoor environment. WPS is newly attractive method as a widely applicable positioning method. In WPS, RSSI (Received Signal Strength Indication) data of all Wi-Fi APs (Access Point) are measured and stored into a huge database. The stored RSSI data in database make single radio fingerprint map. By the radio fingerprint map, we can estimate the actual position of target point. The essential factor of radio fingerprint database is data integrity of RSSI. Because of millions of APs in urban area, RSSI measurement data are seriously contaminated. Therefore, we present the unified filtering method for RSSI measurement data. As the results of filtering, we can show the effectiveness of suggested method in practical positioning system of mobile operator.

A Study on Data Availability Improvement using Mobility Prediction Technique with Location Information (위치 정보와 이동 예측 기법을 이용한 데이터 가용성 향상에 관한 연구)

  • Yang, Hwan Seok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.4
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    • pp.143-149
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    • 2012
  • MANET is a network that is a very useful application to build network environment in difficult situation to build network infrastructure. But, nodes that configures MANET have difficulties in data retrieval owing to resources which aren't enough and mobility. Therefore, caching scheme is required to improve accessibility and availability for frequently accessed data. In this paper, we proposed a technique that utilize mobility prediction of nodes to retrieve quickly desired information and improve data availability. Mobility prediction of modes is performed through distance calculation using location information. We used technique which global cluster table and local member table is managed by cluster head to reduce data consistency and query latency time. We compared COCA and CacheData and experimented to confirm performance of proposed scheme in this paper and efficiency of the proposed technique through experience was confirmed.

System and method for detecting gas using smart-phone (스마트폰을 이용한 가스검출시스템 및 검출 방법연구)

  • Bang, Yong-Ki;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.17 no.2
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    • pp.129-137
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    • 2015
  • This study is in regard to the gas detection system and gas detection method utilizing smart phone. This study includes; 1) the sensor module attached to the smart phone to detect and measure flammable gas or toxic gas; and 2) gas detection APP which is installed inside the smart phone and recognizes the user information and location information automatically by reading RFID tag indicating the user or the location to detect gas through the contact area where RFID and blue tooth reader is installed inside of the above mentioned smart phone, and then measures the combustible gas or toxic gas by operating above mentioned sensor module and obtains the data thus measured, and above mentioned smart phone is characterized by its transmission of the above mentioned user information, location information and measured data which are obtained by above mentioned gas detecting APP to operation server via communication network. With this, reliability for the location detecting gas by the user, the result of the measurement, etc. can be secured. Furthermore, this provides the effect of preventing artificial manipulation at the time of input which is associated with the identification of the user to be measured by utilizing removable sensor module and application or the mistake resulted from wrong input by the user. In addition, by transmitting the measured data from the sensor module carrying out gas detection to operation server, this provides the effect of making it possible to process the data thus collected to a specialized data for combustible gas or toxic gas.

A Study on Efficient Stock Arrangement of Distribution Center Using MBA Analysis and Simulation in Retail Business (유통업에서 MBA분석과 시뮬레이션을 이용한 물류센타 재고배치 효율화에 관한 연구)

  • Yeo, Sung-Joo;Seong, Kil-Young;Wang, Gi-Nam
    • IE interfaces
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    • v.22 no.3
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    • pp.234-242
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    • 2009
  • It is most important for distribution center in retail business to delivery commodities in a timely manner. Accordingly, many companies try to make distribution center effective using the Warehouse Management System(WMS) integrated legacy system. Also, the Customer Relationship Management(CRM) is the most typical paradigm in management lately. Even though the WMS and CRM are independent system of each other, WMS, coupled with CRM makes customer satisfied more effectively. In this paper, we proposed the methodology for inventory location after analyzing and applying customer buying pattern data in the CRM through the MBA(Market Basket Analysis), which is part of data mining. We used an example modeling a real distribution center in retail through a 3D simulation tool and examined correlation between commodities using customer buying pattern. After that, we applied it to the inventory location system through the MBA in an example. Finally, we identified decrease in the time for picking, which is the majority of distribution center. Besides, we proposed a simulation methodology before applying new methodology. Consequently, it removes potential errors in advance and makes a optimized inventory location system.