scholarly journals Prediction and Anticipation Features-Based Intellectual Assistant in Location-Based Services

2021 ◽  
Vol 10 (4) ◽  
pp. 0-0
Keyword(s):  
Global Positioning System ◽  
User Preferences ◽  
Location Based Services ◽  
Trajectory Data ◽  
Queuing Model ◽  
System A ◽  
Global Positioning ◽  
Moderate Condition ◽  
Handicapped People ◽  
Speculative Computation

Intellectual assistant in a location based service (LBS) is considered here as assistive technology in healthcare system for helping users with sensory, physical or intellectual diminished capabilities. The proposed system has the speculative computation module which helps in orientation for predicting the users’ error and alerting them for ensuring a true traveling direction well in advance for the handicapped people of mild to moderate condition of disability in earlier phases of cognitive disabilities. A person with cognitive impairments has the Trajectory (T) associated with them which is a sequenced set of past global positioning system (GPS) points. The implementation and evaluation of the trajectory data mining method have been done for the purpose of achieving the travel route to the user preferences. For the simulation of proposed system, a client server queuing model has been used. The results show the minimization of the overhead with better precision as compared to earlier existing path guiding systems.

scholarly journals Prediction & Anticipation Features based Intellectual Assistant in Location Based Services

2021 ◽  
Vol 10 (4) ◽  
pp. 0-0
Keyword(s):  
Global Positioning System ◽  
User Preferences ◽  
Location Based Services ◽  
Trajectory Data ◽  
Queuing Model ◽  
System A ◽  
Global Positioning ◽  
Moderate Condition ◽  
Handicapped People ◽  
Speculative Computation

Intellectual assistant in a location based service (LBS) is considered here as assistive technology in healthcare system for helping users with sensory, physical or intellectual diminished capabilities. The proposed system has the speculative computation module which helps in orientation for predicting the users’ error and alerting them for ensuring a true traveling direction well in advance for the handicapped people of mild to moderate condition of disability in earlier phases of cognitive disabilities. A person with cognitive impairments has the Trajectory (T) associated with them which is a sequenced set of past global positioning system (GPS) points. The implementation and evaluation of the trajectory data mining method have been done for the purpose of achieving the travel route to the user preferences. For the simulation of proposed system, a client server queuing model has been used. The results show the minimization of the overhead with better precision as compared to earlier existing path guiding systems.

scholarly journals Prediction and Anticipation Features-Based Intellectual Assistant in Location-Based Services

2021 ◽  
Vol 10 (4) ◽  
pp. 1-25
Author(s):  
Ajay Kr. Gupta ◽  
Udai Shanker
Keyword(s):  
Global Positioning System ◽  
User Preferences ◽  
Location Based Services ◽  
Trajectory Data ◽  
Queuing Model ◽  
System A ◽  
Global Positioning ◽  
Moderate Condition ◽  
Handicapped People ◽  
Speculative Computation

Intellectual assistant in a location based service (LBS) is considered here as assistive technology in healthcare system for helping users with sensory, physical or intellectual diminished capabilities. The proposed system has the speculative computation module which helps in orientation for predicting the users’ error and alerting them for ensuring a true traveling direction well in advance for the handicapped people of mild to moderate condition of disability in earlier phases of cognitive disabilities. A person with cognitive impairments has the Trajectory (T) associated with them which is a sequenced set of past global positioning system (GPS) points. The implementation and evaluation of the trajectory data mining method have been done for the purpose of achieving the travel route to the user preferences. For the simulation of proposed system, a client server queuing model has been used. The results show the minimization of the overhead with better precision as compared to earlier existing path guiding systems.

Populasi hiu berjalan, Kalabia (Hemiscyllium freycineti), di Perairan Misool, Kabupaten Raja Ampat (Population of the walking shark, Kalabia (Hemiscyllium freycineti), in Misool, Raja Ampat)

2020 ◽  
Vol 8 (1) ◽  
pp. 15
Author(s):  
Santoso B Widiarto ◽  
Iman Wahyudin ◽  
Hendrik Sombo ◽  
Ahmad S Muttaqin ◽  
Prehadi . ◽  
...  
Keyword(s):  
Food Consumption ◽  
Global Positioning System ◽  
Positioning System ◽  
Potential Density ◽  
Visual Census ◽  
Track Width ◽  
System A ◽  
Observation Area ◽  
Global Positioning ◽  
Close Range

Walking shark (Hemiscyllium freycineti) was classified in the Genus Hemiscyllium, a nocturnal organism, lives in benthic zone. Walking shark has limited distribution because of its inability to swim across the sea regardless the close range. Based on those information, the survey was conducted to monitor the potential density of walking shark populations at Misool, Raja Ampat, in order to have data of population and the utilization. This research was conducted by applying Snorkeling Visual Census Method along the coastline using Global Positioning System. A number of 58 individuals walking sharks was found during the survey and they varied from around 61-70 cm (the longest) to about 20 cm (the shortest). The most common size was of 31-40 cm. The length of the survey track was 20.003,74 m (20 km) and the observation area was 109.592,69 m2 with a survey track width of 11 m, so that the density of walking sharks was about 5,29 individuals/ha.Walking shark in Misool have not been used either for food consumption or in trade demand. It can be concluded, the level of density of walking sharks in Misool is under low pressure conditions.---Hiu berjalan (Hemiscyllium freycineti) tergolong dalam genus Hemiscyllium, yang merupakan hewan nokturnal yang hidup di dasar perairan. Hiu berjalan memiliki distribusi terbatas, karena jenis ini tidak mampu berenang menyeberangi laut yang dalam meskipun hanya berjarak beberapa kilometer. Berdasarkan informasi tersebut, maka dilakukan survei kepadatan populasi hiu berjalan di perairan Misool, Raja Ampat, guna memperoleh data populasi dan pemanfaatannya. Penelitian ini dilakukan dengan metode Snorkeling Visual Census dan survei menyusuri garis pantai berbasis Global Positioning System (GPS). Dari hasil survei, didapatkan jumlah ikan hiu berjalan yang tersensus sebanyak 58 individu dengan ukuran yang bervariasi dari terpanjang sekitar 61-70 cm dan ukuran terpendek 20 cm. Ukuran ikan hiu berjalan yang dominan ditemukan ialahdengan panjang tubuh 31-40 cm (sebanyak 16 individu). Survei ini mencakup panjang lintasan 20.003,74 m (20 km), luas area pengamatan 109.592,69 m2, dan lebar lintasan survei 11 m, sehingga kepadatan ikan hiu berjalan yang diperoleh dari hasil survei yaitu 5,29 individu/ha. Hiu berjalan di Misool belum banyak dimanfaatkan, baik secara konsumsi maupun permintaan perdagangan. Dengan demikian, dapat disimpulkan, bahwa tingkat kepadatan hiu berjalan di Misool dalam kondisi tekanan rendah.

scholarly journals Traffic Flow Pattern in Road Network Using Clustering

2020 ◽  
Vol 5 (8) ◽  
pp. 229-230
Author(s):  
Ganga Gudi ◽  
Dr. Hanumanthappa M
Keyword(s):  
Traffic Flow ◽  
Global Positioning System ◽  
Road Network ◽  
Location Based Services ◽  
Positioning System ◽  
Specific Time ◽  
Real World Problem ◽  
Time Period ◽  
Global Positioning ◽  
Enormous Amount

Wireless communication has become important in location-based services. The enormous amount of data is extracted for useful information to solve the real world problem. Global positioning system, is used to captures the position of an object at specific time period. The scheme is finding the congested route by considering the number of vehicles in a road segment. It consists of two methods, firstly it finds the group of points based on consistency of route points and second it arranges the groups in sequence of values for each route

scholarly journals Readiness of Young Fishermen in Malaysia to Use Global Positioning System: A Preliminary Result

2014 ◽  
Vol 10 (11) ◽  
Author(s):  
Nizam Osman ◽  
Siti Zobidah Omar ◽  
Jusang Bolong ◽  
Jeffrey Lawrence DSilva ◽  
Hayrol Azril Mohamed Shaffril
Keyword(s):  
Global Positioning System ◽  
Positioning System ◽  
System A ◽  
Global Positioning

scholarly journals New Global Referencing Approach in a Camera-LCD Micro Positioning System

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2118
Author(s):  
Óscar de Francisco Ortiz ◽  
Irene Ortiz ◽  
Antonio Bueno
Keyword(s):  
Global Positioning System ◽  
New Technology ◽  
Positioning System ◽  
New Approach ◽  
Positioning Systems ◽  
System A ◽  
Quality Product ◽  
Global Positioning ◽  
Accuracy And Repeatability ◽  
Current Systems

In any precision manufacturing process, positioning systems play a very important role in achieving a quality product. As a new approach to current systems, camera-LCD positioning systems are a new technology that can provide substantial improvements enabling better accuracy and repeatability. However, in order to provide stability to the system a global positioning system is required. This paper presents an improvement of a positioning system based on the treatment of images on an LCD in which a new algorithm with absolute reference has been implemented. The method is based on basic geometry and linear algebra applied to computer vision. The algorithm determines the spiral center using an image taken at any point. Consequently, the system constantly knows its position and does not lose its reference. Several modifications of the algorithm are proposed and compared. The simulation and test of the algorithm provide an important improvement in the reliability and stability of the positioning system providing errors of microns for the calculation of the global position used by the algorithm.

scholarly journals Mode Inference using enhanced Segmentation and Pre-processing on raw Global Positioning System data

2020 ◽  
Vol 53 (7-8) ◽  
pp. 1144-1158 ◽  
Author(s):  
Asif Nawaz ◽  
Huang Zhiqiu ◽  
Wang Senzhang ◽  
Yasir Hussain ◽  
Amara Naseer ◽  
...  
Keyword(s):  
Global Positioning System ◽  
Mobile Communications ◽  
Single Mode ◽  
Positioning System ◽  
Trajectory Data ◽  
Transportation Mode ◽  
Extensive Evaluation ◽  
Global Positioning ◽  
Significant Performance ◽  
System Data

Many applications use the Global Positioning System data that provide rich context information for multiple purposes. Easier availability and access of Global Positioning System data can facilitate various mobile applications, and one of such applications is to infer the mobility of a user. Most existing works for inferring users’ transportation modes need the combination of Global Positioning System data and other types of data such as accelerometer and Global System for Mobile Communications. However, the dependency of the applications to use data sources other than the Global Positioning System makes the use of application difficult if peer data source is not available. In this paper, we introduce a new generic framework for the inference of transportation mode by only using the Global Positioning System data. Our contribution is threefold. First, we propose a new method for Global Positioning System trajectory data preprocessing using grid probability distribution function. Second, we introduce an algorithm for the change point–based trajectory segmentation, to more effectively identify the single-mode segments from Global Positioning System trajectories. Third, we introduce new statistical-based topographic features that are more discriminative for transportation mode detection. Through extensive evaluation on the large trajectory data GeoLife, our approach shows significant performance improvement in terms of accuracy over state-of-the-art baseline models.

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