Location-aware System Research Articles

Implementation, customization and functional evaluation of a location aware decision support system for precise management of Lepidoptera in Greek peach orchards of Pella, Greece

ISHS X International Peach Symposium Implementation, customization and functional evaluation of a location aware decision support system for precise management of Lepidoptera in Greek peach orchards of Pella, Greece

A Mobile Based Pharmacy Store Location-aware System

This paper presents a formulated mobile-based location-awareness model that was implemented into a Location-awareness System (L-aS hereafter) for finding the pharmacy location where prescribed drugs and their prices are available for sale. The scenario that inspired the model formulation was formalized using the unified modeling language. The model was implemented within the android studio integrated development environment with the L-aS database created through SQL lite database. The system was tested using user experience based testing technique. Based on core system performance testing, the system demonstrated a normal response time, resource utilization (i.e. storage and memory usage), and data use potentials of 414.6ms, 4.964mb and 1.9116 kb/secs, and 3.0296mb respectively. Therefore, the system performed well under ordinary conditions as an android application running on small memory devices. The study concluded that the developed mobile based pharmacy store location-aware system was useful to provide information to purchase prescribed drugs especially in perplexed situation(s).

Developing and Implementation of Decision Support System (DSS) for the Control of Olive Fruit Fly, Bactrocera Oleae, in Mediterranean Olive Orchards

Modern agriculture requires technology to give precise measures about relevant parameters such as pest control. Here, we developed a decision support system (DSS) based on semi-automatic pest monitoring for managing the olive fruit fly Bactrocera oleae (Rossi), in Mallorca (Balearic Islands, Spain). The DSS was based on an algorithm that took into account spatial and temporal patterns of olive fruit fly population in an orchard where all trees were georeferenced, thus precise treatments against the pest were conducted through a location aware system (LAS). The olive fruit fly adult population was monitored by using ad hoc off-the-grid autonomous electronic traps.The results were compared with those obtained with conventional methods. For a pilot trial, we selected an olive-producing orchard, where from June to October 2015, three plots using LAS management and three plots under conventional control (NO-LAS plots) were compared. Spray threshold considered both adult population and fruit damage. An additional non-sprayed plot was selected for assessing biological control due to the parasitoid, Psyttalia concolor (Szépligeti). Results showed that the use of DSS reduced by 36.84% the volume of insecticide used in LAS compared to NO-LAS plots. Accordingly, time and distance needed for spraying were also reduced. Adult olive fruit fly population was lower in the LAS plots when compared with the NO-LAS plots; conversely, fruit infestation was higher in LAS compared with NO-LAS. The implementation of LAS and DSS at field level allowed real-time monitoring of adult olive flies, thereby increasing the accuracy and precision of sprays in time and space and decreasing impact on natural enemies.

CrimeID: Towards Crime Prevention and Community Safety in Indonesia using Mobile and Web Technology

The rate of crime incidence in Indonesia is quite high. Some efforts to prevent crime and to create community safety have been already conducted. However, the information technology has not been implemented yet. CrimeID could be a technology tool for both individual and collective crime prevention. The citizen could participate individually as a crowd to annotate the crime data from news article through the crowdsourcing platform using gamification concept. The collected data could be used to raise the awareness among community members of the crime that happens surrounding them by using the location-aware system.

Improvement of a location-aware recommender system using volunteered geographic information

Recommender systems (RS), as supportive tools, filter information from a massive amount of data based on the determined preferences. Most of the RS require information about the context of users such as their locations. In such cases, location-aware recommender systems (LARS) can be employed to suggest more personalized items to the users. The most current research projects on LARS focus on the development of algorithms, evaluation methods and applications. However, the role of up-to-date spatial databases in LARS is not a well-researched area. The up-to-date spatial information would potentially improve the accuracy of items which are recommended by LARS. Volunteered geographic information (VGI) could be a low-cost source of up-to-date spatial information for LARS. This article proposes an approach to enrich spatial databases of LARS by VGI. Since not all records of VGI are fitted for use in LARS, a mechanism is developed to identify useful information. Some VGI data sets refer to existing spatial data in the database while other VGI data sets are shared for the first time. Therefore, the proposed method assessed the quality of VGI with reference source (for VGI which is existed in the database) and VGI without reference source (for VGI which is shared for the first time). To demonstrate the feasibility of the proposed approach, a mobile application has been developed to recommend suitable restaurants to the users based on their geospatial locations. The evaluation of the method indicates that VGI can potentially enhance the functionality of the LARS in predicting the users’ interests.

Location Aware Communicable Disease Spread Prediction Model

Data analytics plays a major role in providing useful information to healthcare analysis. Monitoring of infectious diseases and the study of their spread factors and spread rate greatly helps the health care system to block further spread of the diseases. The emergence of novel infections is linked with various human factors such as population density, trade and ecological factors like climate change. The various web-based surveillance tools that are used by major public healthcare sectors are modelled in order to facilitate risk assessment and timely detection of disease outbreak. Numerous new inventions and innovative technologies are available to provide healthy life to humans. But none has provided a precise solution to reduce and predict the spread rate of infectious diseases. At present, television, radio, new paper and magazines are the only sources that highlight the infected diseases to the view of society. Though social media plays a major role in providing hot news and needy information, they are not trust worthy. A new and efficient information system providing useful information to the public through proper channel is needed to create awareness of communicable diseases, their root causes and preventive measures against those diseases. A location aware system which alerts people who are travelling across the places infected by communicable diseases is needed especially for deadly and air borne diseases. The spread rate of the disease can be predicted using epidemic model that depends upon the infectious agent and the geographical location of the disease breakout area. Early information about such things is very much helpful for the government health sectors to take necessary preventive actions and to provide healthy life to people. The capability of data visualization and analytics in healthcare justifies to the extent of rendering best possible outcomes across many scenarios. In this system, a new and efficient information model is created and data visualization techniques are applied to find the root causes and effective visualization of spreading of those diseases. Anyone can understand the data easily when it is presented as visualization and sent as an alert system to their mobiles as timely information.

Personalized and Location aware Online Product Recommendation System

Personalized and Location aware Online Product Recommendation System

LocAWS: A location-aware system for manufacturing plants

LocAWS: A location-aware system for manufacturing plants

An Indoor IoT based Location Aware System

An Indoor IoT based Location Aware System

Personalized Recommender System using Collaborative Filtering Technique and Pyramid Maintenance Algorithm

Location aware recommender system(LAS) make use of spatial ratings for generating personalized recommendations.It uses Collaborative filtering techniques to generate recommendations based on user location,item location or both user and item location . LAS uses spatial ratings for spatial items , Spatial ratings for Non-spatial items, Non spatial ratings for spatial items to generate personalized recommendation. For spatial ratings for non spatial items LAS uses user partitioning technique where spatial ratings are distributed as per user location in the pyramid. Pyramid Maintenance algorithm provided to achieve required scalability or locality.LAS is scalable as number of γ-cells are increased in pyramid and to improve locality α-cells are increased to maintain CF Model. LAS is efficient as compare to traditional recommendation system because algorithm provided is strong enough to cope challenge of locality and scalability.

F2D: A Location Aware Fall Detection System Tested with Real Data from Daily Life of Elderly People

Falls among older people remain a very important public healthcare issue. In the majority of fall events external support is imperative in order to avoid major consequences. Therefore, the ability to automatically detect these fall events could help reducing the response time and significantly improve the prognosis of fall victims. This paper presents a practical real time fall detection system running on a smartwatch (F2D). A decision module takes into account the rebound after the fall and the residual movement of the user, matching a detected fall pattern to an actual fall. The last module of F2D is the location module which makes our system very useful for nursing homes that host elderly people. The fall detection algorithm has been tested by Fondation Suisse pour les Téléthèses (FST), the project partner who is responsible for the commercialization of our system. By testing with real data and achieving an accuracy of 96.01% we have a fall detection system ready to be deployed on the market and by adding the location module we can provide it to nursing homes for elderly people.

차량 탑재형 모바일 디지털 사이니지 구현

Abstract Submitted：November 3, 2015 1 st Revision：December 8, 2015 Accepted：December 12, 2015* 중소기업청 2012년 산학연공동기술개발사업 “차량 설치형 도로교통 정보안내 전광판시스템 개발”으로 연구되었음.** 한국외국어대학교 정보통신공학과 교수*** 한국외국어대학교 컴퓨터공학과 교수 We propose a vehicle-mounted, location-aware mobile digital sig nage system that can be used for public transpor-tation through mobile communication. This paper proposes the in stallations of the LED display panels at the backside of the bus., which display traffic information to cars behind t he bus. Information to be displayed would include, but is not limited to, road information, public commercials and private commercials. We propose the system architecture and further implement the prototype of mobile digital signage system for demonstration. The system is based on the Client-Server system. Each bus has a client terminal which dete cts the current location by a GPS receiver and sends its location information to the server using mobile communicati on function. The terminal device receives advertisements and traffic information from the server and displays it to the large LCD or LED panel installed at the inside and outside of the bus. We use the Android smartphone as a client system, which inherently equipped with GPS and mobile communication function. GPS detects the location of bus and rep orts its geo-location data to the traffic information center server via a wireless communication network. On the serv er side, we developed a specially designed control server, where it communicates with the other traffic informatio n center and updates and manages the databases contents being displayed by each position. The server contains location dependent variable information and returns selected information back to the vehicle in real time. Spatial database is used to process location based data. Server system periodically receives the real time traffic information from the road information center database. And it process the information by bus location and bus line number. In this paper, we propose a mobile digital signage service and explain the system implementation of this service.

Evaluating pictogram prediction in a location-aware augmentative and alternative communication system

ABSTRACTThis study compared the performance of two statistical location-aware pictogram prediction mechanisms, with an all-purpose (All) pictogram prediction mechanism, having no location knowledge. The All approach had a unique language model under all locations. One of the location-aware alternatives, the location-specific (Spec) approach, made use of specific language models for pictogram prediction in each location of interest. The other location-aware approach resulted from combining the Spec and the All approaches, and was designated the mixed approach (Mix). In this approach, the language models acquired knowledge from all locations, but a higher relevance was assigned to the vocabulary from the associated location. Results from simulations showed that the Mix and Spec approaches could only outperform the baseline in a statistically significant way if pictogram users reuse more than 50% and 75% of their sentences, respectively. Under low sentence reuse conditions there were no statistically significant differences between the location-aware approaches and the All approach. Under these conditions, the Mix approach performed better than the Spec approach in a statistically significant way.

Context-Aware Security using Gimbal based Sensor Control System

Objectives: In order to provide efficient knowledge for location aware computing system in mobile applications, this paper proposes an experimental analysis considering user's location information. Methods/Analysis: These systems can entail information from array of sensors. Context aware management system combining central, distributed management scheme along with sensors, which can be utilized for location application. In order to provide better context/location aware management system, sensors (magnetometers) are mounted on Gimbal platform. This sensor platform synchronizes the device direction in all three axes. Findings: Magnetometer sensor can detect ground changes with respect to orientation angle with maximum accuracy. These possessions are validated with magnetic field intensity&rotation headings towards the north direction. Calibration of magnetometer reduces the noise and drift variations in the output. Conclusion :The proposed analysis offers displacement of the device and ensures the quality of service.

A location aware system for integrated management of Rhynchophorus ferrugineus in urban systems

The red palm weevil (RPW), Rhynchophorus ferrugineus (Coleoptera: Curculionidae), an invasive species for many countries, is one of the most dangerous pests of ornamental palms in urban landscapes. When infested by the RPW, all untreated palms typically die. RPW monitoring is difficult, and when the pest is detected, management to save the infested palm becomes intricate. For this reason, an efficient and integrated RPW monitoring, such as a location-aware system (LAS), combined with the scientific knowledge of experts on the palm’s physiology and the RPW biological cycle must be designed, developed and implemented. In the current study, an innovative integrated RPW management in urban landscapes under real conditions is presented. Based on the LAS, this study investigates the effectiveness of monitoring RPW infestations in palms, such as the Phoenix canariensis, under field conditions at the Pedion Areos park, which is located in central Athens, the capital of the Hellenic Republic. The goal of this study is to address the specific needs of RPW management and control by facilitating the treatment process adopted by experts combined with an appropriate spatial decision support system (SDSS), which accounts for the RPW population dynamics and spatio-temporal characteristics of the infested areas. The process of estimating the infestation risk is based on a ten-point scale classification, which is incorporated into the LAS. The results from the aforementioned moderate-scaled field experiment conducted for evaluation purposes showed that the LAS is an innovative, simple, and easy to use integrated platform that can be used for early detection, rapid monitoring and assessment of RPW in urban landscapes. Finally, the results from this four-year experiment showed that the diameter and height of the trunk of canary palms play a significant role in the susceptibility to RPW infestations and the recovery of infested canary palms; the results also demonstrated that control of RPW in urban landscapes is possible.

English

English

Design of RFID based Location Aware System to Mitigate Child Kidnapping in Nigerian Nursery and Primary Schools

Today, kidnapping cases in Nigeria is on the daily increase and children in nursery and primary schools are not left out. These innocent children are lured with precious items and food items and kidnapped even from school premises. To curb this act of kidnapping in schools, security men are employed to watch the gates but they cannot always determine the guardian-ward relationship of all pupils easily. It is believed that this can be curbed if the guardian-ward relationship can be determined easily and the location of all pupils can also be known per time. Today, there exist various means by which the locations of people, animal or items can be tracked real time, some of which were explored including Global positioning system (GPS), mobile phone tracking etc. but all come with their limitation especially cost of implementation. This work thus proposes a cost-effective location-aware system design integrating Radio Frequency Identification (RFID), which is able to determine the location of pupils per time within the school premises, and also map and determine guardian-ward relationship.

Probability-Based Location Aware Design and On-Demand Robotic Intrusion Detection System

For an on-demand robotic system, a location aware module provides location information of objects, users, and the mobile robot itself. This information supports various intelligent behaviors of a service robot in day-to-day scenarios. This paper presents a novel probability-based approach to building a location aware system. With this approach, the inconsistencies often seen in received signal strength indicator (RSSI) measurements are handled with a minimum of calibration. By taking off-line calibration measurement of a ZigBee sensor network, the inherent problem of signal uncertainty of to-be-localized nodes can be effectively resolved. The proposed RSSI-based algorithm allows flexible deployment of sensor nodes in various environments. The proposed algorithm has been verified in several typical environments and experiments show that the method outperforms existing algorithms. The location aware system has been integrated with an autonomous mobile robot to demonstrate the proposed on-demand robotic intruder detection system. In the experiments, three alarm sensors were employed to monitor abnormal conditions. If an intrusion was detected, the robot immediately moves to the location and transmits scene images to the user, allowing the user to respond to the situation in real time.

A Fuzzy Parallel Processing Scheme for Enhancing the Effectiveness of a Dynamic Just-in-time Location-aware Service System

Location-aware service systems are a hot topic in diverse research fields including mobile commerce, ambient intelligence, remote sensing and ubiquitous computing. However, the timeliness and efficiency of such systems are two issues that have rarely been emphasized. For this reason, this study tries to establish a location-aware service system in which both the timeliness and efficiency of service provision are addressed. To this end, some innovative treatments have been used in the proposed methodology. First, the uncertainty of detecting a user’s location using the global positioning system is considered by modeling the location and speed of the user with fuzzy numbers. Subsequently, a fuzzy integer-nonlinear programming model is formulated to address the problem of finding the dynamic just-in-time service location and path for the user. To help solve the problem, the maximum entropy weighting function and the basic defuzzification distribution (BADD) method are applied to defuzzify the fuzzy variables. In addition, to enhance the efficiency of solving the problem, a fuzzy parallel processing scheme is also proposed for decomposing the problem into smaller pieces that can be handled by separate processing modules. An illustrative example is used to illustrate the proposed methodology. Finally, the effectiveness of the proposed methodology has been confirmed with an experiment. According to the results, using the proposed methodology the waiting time could be reduced by 60%.

Intelligent Position Aware Mobile Services for Seamless and Non-Intrusive Clocking-in

This paper analyzes the viability of the use of employees smartphones as a valid tool for companies in order to conduct presence control. A Mobile Location Aware Information System is also proposed for a non intrusive Presence Control using exclusively terminal-based reactive location technologies, meeting cost minimization, and universal access criteria. The focus is providing trust to the employees, so that they feel safe and in control of when the location data is gathered while satisfying the control needs of the employer. LAMS platform is a state-of- the-art framework for synchronous mobile location-aware content personalization, using A-GPS terminal-based/network assisted mobile positioning techniques and UAProf data processing at the origin server.