Developing a Data Model of Indoor Points of Interest to Support Location-Based Services
نویسندگان
چکیده
منابع مشابه
a study on insurer solvency by panel data model: the case of iranian insurance market
the aim of this thesis is an approach for assessing insurer’s solvency for iranian insurance companies. we use of economic data with both time series and cross-sectional variation, thus by using the panel data model will survey the insurer solvency.
Developing a ChatBot to Answer Spatial Queries for use in Location-based Services
A Chat Bot is an automated operator that can interact with customers like a human operator, answer their questions, solve problems and get feedback. Real-time responsiveness, the sense of talking to a human user is one of their good features that can be used to deliver location-based services. This paper designed a Chat Bot that can talk and answer users' questions based on their location. Thi...
متن کاملthe innovation of a statistical model to estimate dependable rainfall (dr) and develop it for determination and classification of drought and wet years of iran
آب حاصل از بارش منبع تأمین نیازهای بی شمار جانداران به ویژه انسان است و هرگونه کاهش در کم و کیف آن مستقیماً حیات موجودات زنده را تحت تأثیر منفی قرار می دهد. نوسان سال به سال بارش از ویژگی های اساسی و بسیار مهم بارش های سالانه ایران محسوب می شود که آثار زیان بار آن در تمام عرصه های اقتصادی، اجتماعی و حتی سیاسی- امنیتی به نحوی منعکس می شود. چون میزان آب ناشی از بارش یکی از مولفه های اصلی برنامه ...
15 صفحه اولEnabling Technologies for Indoor Location-Based Services
Location awareness is one of the fundamental problems in tomorrow’s wireless networks. With the advent of GPS, LBS have found applications in many different fields. Most of the LBS applications offered by wireless carriers as of today are mainly relied on the GPS technology. In areas where there is a clear LOS to GPS satellites, this technique provides a good estimate of the user’s location on ...
متن کاملAbstracting Positions for Indoor Location Based Services
ing Positions for Indoor Location Based Services Teemu Pulkkinen, Sourav Bhattacharya, Petteri Nurmi Helsinki Institute for Information Technology HIIT PO Box 68, FI-00014 University of Helsinki, Finland [email protected]
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Sensors
سال: 2020
ISSN: 1687-725X,1687-7268
DOI: 10.1155/2020/8885384