Location Based Services Acceptance and Adoption Evaluation: An Investigation on Mobile Phone Users’ Response to Awareness and Utilization of LBS Technology in Nairobi Kenya

Location Based Navigation System (LBNS) is a specific Location Based Service (LBS) purely for navigational purpose. These systems resolve position of a user by using GNSS/GPS positioning technologies, to which supplementary information on goods and services are tagged. The navigation services have become popular and can be installed on mobile phones to provide route information, location of points of interest and user’s current location. LBS has continued to face challenges which include “communication” process towards user reference. Location Based Service System conveys suitable information through a mobile device for effective decision making and reaction within a given time span. This research was geared at understanding the state of LBS technology acceptance and adoption by users in Nairobi Kenya. To do this a quantitative study was carried out through a questionnaire, to investigate mobile phone users’ response on awareness and use of LBS technology. Testing the growth of this technology in this region compared to predictions in previous studies using Technology Acceptance Model (TAM), it is evident that many users may be aware of GPS functionality in mobile phones but are certainly yet to fully embrace the technology as they rarely use it. This points to some underlying challenges towards this technology within this part of the World, thereby recommending for deliberate monitoring and evaluation of LBS technology for sustenance growth based on user satisfaction and acceptance for improved usability.

Services and Applications Based on Mobile User’s Location Detection and Prediction

Many wireless applications are deployed and available to customers via their mobile phones. Variety of these applications and services are based on determination of the current or future location of mobile user. Location based services (LBS) are one of the vital applications which are subdivided into two main categories: economical category and public category. Economic applications include mobile marketing, entertainment and tracking applications. Whereas, emergency cases, safety, traffic management, Muslims’ applications and public information applications are sort of public applications. The first part of the paper presents a new proposed system with developed procedure to recreate public and economic applications with high positioning accuracy and good authentication of users’ data. The developed system is created to enhance both location based services and network allocation resources within mobile network platform using either normal or GPS supported mobile equipment. The second part of the paper introduces future location prediction of mobile user dependent applications. New algorithm is developed depending on utilizing both intra-cell Movement Pattern algorithm (ICMP) [1] and hybrid uplink time Difference of Arrival and Assisted GPS technique (UTDOA_AGPS) [2]. It has been noticed that ICMP algorithm outperforms other future location prediction algorithms with high precision and within suitable time (less than 220) msec. However, UTDOA_AGPS guarantees high precession of mobile user independent of the surrounding environment. The proposed technique is used to enhance reliability and efficiency of location based services using cellular network platform.

Recommending Friends Instantly in Location-based Mobile Social Networks

Differently from the general online social network(OSN),locationbased mobile social network(LMSN),which seamlessly integrates mobile computing and social computing technologies,has unique characteristics of temporal,spatial and social correlation.Recommending friends instantly based on current location of users in the real world has become increasingly popular in LMSN.However,the existing friend recommendation methods based on topological structures of a social network or non-topological information such as similar user profiles cannot well address the instant making friends in the real world.In this article,we analyze users' check-in behavior in a real LMSN site named Gowalla.According to this analysis,we present an approach of recommending friends instantly for LMSN users by considering the real-time physical location proximity,offline behavior similarity and friendship network information in the virtual community simultaneously.This approach effectively bridges the gap between the offline behavior of users in the real world and online friendship network information in the virtual community.Finally,we use the real user check-in dataset of Gowalla to verify the effectiveness of our approach.

Protection of mobile location privacy by using blind signature

Location privacy means a user keeps his/her geographical location secret. If location information falls into the wrong hands, an adversary can physically locate a person. To address this privacy issue, Qi et al.(2004a; 2004b) proposed a special and feasible architecture, using blind signature to generate an authorized anonymous ID replacing the real ID of a legitimate mobile user. The original purpose of his architecture was to eliminate the relationship of authorized anonymous ID and real ID. We present an algorithm to break out Qi’s registration and re-confusion protocol, and then propose a new mechanism based on bilinear pairings to protect location privacy. Moreover we show that the administrator or third parity cannot obtain information on the legitimate user’s authorized anonymous ID and real ID in our proposed protocols.

A Predicted Region based Cache Replacement Policy for Location Dependent Data in Mobile Environment

Caching frequently accessed data items on the mobile client is an effective technique to improve the system performance in mobile environment. Proper choice of cache replacement technique to find a suitable subset of items for eviction from cache is very important because of limited cache size. Available policies do not take into account the movement patterns of the client. In this paper, we propose a new cache replacement policy for location dependent data in mobile environment. The proposed policy uses a predicted region based cost function to select an item for eviction from cache. The policy selects the predicted region based on client’s movement and uses it to calculate the data distance of an item. This makes the policy adaptive to client’s movement pattern unlike earlier policies that consider the directional / non-directional data distance only. We call our policy the Prioritized Predicted Region based Cache Replacement Policy (PPRRP). Simulation results show that the proposed policy significantly improves the system performance in comparison to previous schemes in terms of cache hit ratio.

Location Based Navigation Service Technology: Development of an Optimization Algorithm for Multivariate Contextual Cartographic Content in Location Based Navigation Service

User response or reaction to navigation applications is influenced by relevance in geographic information, in terms of cartographic context and content delivered within a definite time, providing a direct impact to outcome or consequence based on decision making and hence user reaction. Location Based Navigation Services (LBNS) have continuously advanced in cartographic visualization, making maps interpretation easy and ubiquitous to any user, as compared to pre-historic times when maps were a preserve of a few. Despite rapid growth in LBNS, there exist challenges that may be characterized as technical and non-technical challenges, among them being process of conveying geospatial information to user. LBNS system deliver appropriate information to a user through smartphone (mobile device) for effective decision making and response within a given time span. This research focuses on optimization of cartographic content for contextual information in LBNS to users, based on prevailing circumstances of various components that constitute it. The research looks into Geographic Information Retrieval (GIR), as a technical challenge centered on a non-technical issue of social being of user satisfaction, leading to decision making in LBNS, hence response and outcome. Though advanced technologically, current LBNS on information sourcing depends on user manual web pages navigation and maneuver, this can be painstaking and time consuming that it may cause unnecessary delay in information delivery, resulting to delayed information response time (DIRT). This in turn may lead to unappropriate decision making with erroneous reaction or response being taken, resulting in loss of opportunity, resources, time and even life. Optimization in LBNS is achieved by a mathematical relationship developed between user status, mobile device variables against cartographic content. The relationship is in turn applied in LBNS android application to fulfill optimization solution for user consumption.

Location correction technique based on mobile communication base station for earthquake population heat map

China has mobile phone penetration rate of over 96.2%.Mobile phone has become the largest Internet terminal for Chinese Internet users.Population geographic distribution in earthquake zones can be got based on mobile phone positioning and map matching.For reducing earthquake black-box stage,we propose a real-time collection,correction and schedule algorithm of population position data by four stream processing environments(Redis,Hbase,Kafka,and Spark Streaming)in this paper.For labeling precisely population geographic distribution on the network map,matching of population geographic coordinates and map coordinates are optimized by sample comparison based on location data of mobile communication base stations and prefecture level cities.The test result shows the proposed system is high efficient and can rapidly respond to any emerging parallel tasks during the earthquake.A high-precision heat map of affected population can be produced and published on-line within 2 min after the devastating earthquake happened.

Smart Location-Based Mobile Shopping Android Application

In the paper, a smart location-based mobile shopping application for Android devices is proposed. The Geo-position of the user’s mobile device is utilized to produce location information in shopping application (SAGO). The flow of the application is that user searches a product, and then SAGO identifies the location and searches the product on the closest electronic local stores. The idea is to get the prices from each local store with in stock information and smartly listed product list. With the proposed smart filtering algorithm, mobile shopping application achieves precise and minimum error based on searching and listing results.

基于mobile agent的分布式网络自管理模型

为了解决大规模、异构网络环境下基于“管理员密集”的传统网络管理模式带来的低效率和高出错率问题,提出了一种网络自管理模型,从网络管理的自动初始化和动态自管理两个方面实现对网络自动、自主、自适应的管理;提出了管理定位服务这一关键技术,在多个管理站协同工作的分布式网络环境中为设备自动定位出合适的管理站及初始的管理任务;采用可伸缩的分布式体系结构,适应了大规模网络的规模可变性等特点;基于mobile agent的管理框架进一步提高了管理的自适应性和灵活性。

基于Web Services的移动定位接入网关

为了给IT界的业务开发者提供一套获取移动定位能力的简单接口,借鉴Parlay X API的理念提出了基于Web Services的定位接入网关,设计了接入网关的内部结构和外部接口,实现了一个基于MLP协议的移动定位接入网关。测试结果表明该接入网关能很好地工作,并具有良好的性能。

Grid MLS若干关键技术

详细分析了网格移动定位服务的技术定位,在此基础上提出了网格移动定位服务的体系结构.深入研究了网格移动定位服务中元数据服务、资源代理服务以及资源副本服务3个关键技术.实现了基于网格移动定位服务中公交导航服务的实例,阐述了网格移动定位服务的应用前景.

基于代理的移动定位服务AMLS

介绍了基于代理Servlet的移动定位服务系统AMLS的系统架构,重点讨论了空间对象的高效查询和解析、移动用户GPS位置的获取和代理Servlet等关键技术的实现方法,并对AMLS进行了具体的实践。

中国失踪儿童互助Mobile GIS系统的设计与实现

针对目前失踪儿童案件频发且寻回率低这一社会问题,系统致力于为失踪儿童家庭和社会提供最为便捷高效的免费民间互助寻亲服务。依托基于位置的服务技术、人脸图像智能识别技术、云计算技术、公众大数据共享技术、移动互联网等技术的协同研究,从而构建移动GIS平台下的失踪儿童互助系统,实现了在寻找失踪儿童过程中有关公众案件的大数据登记与共享以及基于空间位置的人脸图像云端识别、移动互联网地图时序化标注、案例空间化自动追踪与高效反馈等一系列功能。目前系统运行平稳,已接收并发布了全国千余条寻人图文信息,将为亲属、政府、公众以及执法部门之间架起爱心互助的桥梁。

基于J2ME/Mobile SVG的移动位置服务

空间定位技术和移动通讯技术的迅速发展,使得向移动用户提供移动位置服务成为可能。本文提出如何运用J2ME和MobileSVG在手机等移动设备上设计移动位置服务系统,并对其关键技术进行了分析。

Analysis of Geographical Distribution of Missing Children Based on the Missing Children Mobile GIS Mutual Assistance System of China

The Missing Children Mobile GIS Mutual Assistance System of China (MCMAS) is a mobile service software based on mobile GIS platform software, and it is committed to providing the most convenient and efficient system of personally mutual tracing services for missing children family and society. Relying on collaborative utilization of location-based service technology, face image intelligent recognition technology, cloud computing technology, public big data sharing technology, and mobile GIS technology, the MCMAS has achieved prominent application effects since it was deployed. At present, the MCMAS is running soundly, and it has received and released the information about 1011 missing children from May 25, 2016 to May 25, 2017. In order to explore the geographical distribution features and the influencing factors of missing children, the data of missing children are used for spatial and visual analysis by the data mining and GIS technologies. At the same time, we have built the spatial thermodynamic diagram of the big data of China missing children. By comparing provinces and cities with a higher proportion of missing children, the results showed that: 1) The high proportion of missing children spatially concentrated in the eastern part of the China. 2) The number of missing children was significantly correlated with the population density and economic status of the city. Furthermore, the paper macro-levelly presents a basic basis for rescuing the missing children from two aspects: regionally spatial characteristics and influencing factors.

基于Windows Mobile的LBS系统的研究与实现

设计了一个基于Windows Mobile的LBS系统,基于对信息服务的多样性,将偏好配置引进LBS系统,可针对不同用户的偏好提供当前位置的信息服务,以为其决策提供支持.

NavApp:A Mobile App as a Master's Thesis

This paper illustrates a project work made by graduate students in computer engineering at University of Pavia. The project concerns a mobile indoor navigation application, called NavApp, for the mobility of pedestrians inside a building. NavApp has been deployed in a real environment, namely the library of the University of Pavia. It supports the staff in picking, storing, moving and inventory operations. Indoor navigation relies on a cloud service that fuses data of magnetic fields, Wi-Fi and beacons, called Indoor Atlas. NavApp has a sufficient positioning precision(2 meters) with the relevant advance of being able of working without any pre-deployed infrastructure, a key point in an ancient library with many million books.

P2P &LBS Technology-Based Mobile Police System Design

With the coverage by the mobile network and the popularization of mobile phone communication software, the traditional voice communication, short message service and even the interconnection service have gradually been replaced by mobile terminal equipment. Confronted with the ever-increasingly serous information explosion, police authorities meet with new challenges in their daily police work. This paper establishes a mobile police application system integrating office work, early warning, publicity and surveillance through careful study of the Peer to Peer and Location Based technology, striving to transform the traditional idea, break the traditional mode, expand the tradition scope so as to better exercise the social supervision function, publicize precaution information and crack down on crime.

A Service Discovery Approach Based on a Quantitative Similarity Measure for M-Tourism Platforms

This paper presents a localization architecture for an m-tourism services delivery platform. The aim of the system is to deliver services for nomads (e-tourists) according to their localization and according to the results given by the search engine. This engine is based on a quantitative similarity measure. The discovered services are presented via a Web Map Service. Moreover, the platform integrates an adaptation sub-system for heterogeneous environments and an e-negotiation module.

Providing Location-Aware Location Privacy Protection for Mobile Location-Based Services

Location privacy has been a serious concern for mobile users who use location-based services provided by third-party providers via mobile networks. Recently, there have been tremendous efforts on developing new anonymity or obfuscation techniques to protect location privacy of mobile users. Though effective in certain scenarios, these existing techniques usually assume that a user has a constant privacy requirement along spatial and/or temporal dimensions, which may be not true in real-life scenarios. In this paper, we introduce a new location privacy problem： Location-aware Location Privacy Protection （L2P2） problem, where users can define dynamic and diverse privacy requirements for different locations. The goal of the L2P2 problem is to find the smallest cloaking area for each location request so that diverse privacy requirements over spatial and/or temporal dimensions are satisfied for each user. In this paper, we formalize two versions of the L2P2 problem, and propose several efficient heuristics to provide such location-aware location privacy protection for mobile users. Through extensive simulations over large synthetic and real-life datasets, we confirm the effectiveness and efficiency of the proposed L2P2 algorithms.