Location Service in Sensor and Mobile Actuator Networks

2010 ◽  
pp. 209-232 ◽  
Author(s):  
Xu Li ◽  
Amiya Nayak ◽  
Ivan Stojmenovic
Keyword(s):  
Location Service

A cooperative location service for VANETs

2017 ◽  
Author(s):  
Tawfiq Nebbou ◽  
Hacene Fouchal ◽  
Mohamed Lehsaini ◽  
Marwane Ayaida
Keyword(s):  
Location Service

A METHOD OF RADAR STATION ALIGNMENT BASED ON REFERENCE DATA OF THE INTERNATIONAL LASER LOCATION SERVICE

2021 ◽  
Vol 2 ◽  
pp. 178-182
Author(s):  
D.M. KHETCHIKOV ◽  
B.B. PANKOV ◽  
S.N. BULICHEV ◽  
A.V. MALKUTA
Keyword(s):  
Reference Data ◽  
Optical Devices ◽  
Radar Station ◽  
Location Service ◽  
Reference Information ◽  
Processing Data ◽  
Quantum Optical

The article describes the method of adjusting a ground-based radar station based on reference information received from the quantum-optical devices of the International laser location service and provides calculated relations for processing data of alignment measurements…

Nazca: A Geographic Location Service

2007 ◽  
Author(s):  
Mio Suzuki ◽  
Teruaki Yokoyama ◽  
Takuji Iimura ◽  
Shigeru Kashihara ◽  
Takeshi Okuda ◽  
...  
Keyword(s):  
Geographic Location ◽  
Location Service

scholarly journals Keputusan Pembelian dan Kepuasan Konsumen Dipengaruhi Variabel Lokasi, Pelayanan, Kualitas Produk, Nilai Emosional, dan Disain Interior yang Berdampak pada Tingkat Pembelian

2018 ◽  
Vol 8 (1) ◽  
pp. 60
Author(s):  
Bahri Bahri
Keyword(s):  
Customer Satisfaction ◽  
Product Quality ◽  
Interior Design ◽  
Linear Regression Analysis ◽  
Department Store ◽  
Test Method ◽  
Purchasing Decisions ◽  
Location Service ◽  
Design Variables ◽  
Emotional Value

<em><span><em>This research is motivated by the growing of online businesses that have an impact on decreasing income of retail businesses. In order to survive, a retail  business have to implement strategies that can increase purchases and provide satisfaction to consumers. This study aims to determine the effect of location, service, product quality, emotional value, and interior design variables on purchasing decisions and also customer satisfaction for increasing purchases, and testing the effect of purchasing decisions on customer satisfaction at Gardena Department Store &amp; Supermarket. This type of research uses quantitative descriptive. The sampling method is non-probability sampling and using purposive sampling technique. The data that have been collected then analyzed using the statistical hypotheses test method consist of multiple linear regression analysis, t-test, and f-test. The partial results of the study indicate that the location, service, and product quality variables have positive and significant effects on purchasing decisions and customer satisfaction. While the emotional value and interior design variables have no partial effects on purchasing decisions and consumer satisfaction. Purchasing decisions has a significant positive effect on customer satisfaction. Simultaneously, the variables of location, service, product quality, emotional value, and interior design have positive and significant effects on purchasing decisions and customer satisfaction at Gardena Department Store &amp; Supermarket. The results of this study can be used as an implication for company management that should continue to improve service, product quality, and need to pay attention to location, especially access and large parking lots so that consumers decide to make purchases and get satisfaction from the products, resulting an increase in consumer purchases at Gardena Department Store &amp; Supermarket.</em></span></em>

scholarly journals PPT-NS: Prioritized Progressive Trend Based Navigational System on GPS data with Artifacts

2019 ◽  
Vol 9 (2) ◽  
pp. 621-630
Keyword(s):  
Global Positioning System ◽  
Gps Data ◽  
Moving Window ◽  
Location Service ◽  
Window Method ◽  
Global Positioning ◽  
Trajectory Mapping ◽  
Coefficient Corrélation ◽  
Navigational System ◽  
Processing Techniques

The Global Positioning System is extensively used in the various context and location service-based applications. Any kind of abnormalities requires an efficient and suitable pre-processing algorithm to be implemented on the data which provides accurate results when used in the application synchronizations. This paper illustrates a framework for various pre-processing techniques applied to the real-time GPS data and its effect on trajectory mapping. The technique used includes Prioritized pattern-based, Savitzky-Golay filtering, outlier elimination, de-trending, and coefficient correlation. The performance assessment of methods discussed in this study is calculated in terms of accuracy with the original and re-created trajectory after the pre-processing and found that the best result is given by moving window method.

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