Introduction to Real Time Indoor

What is/are Real Time Indoor?

Real Time Indoor - We present a novel radar-based system for real-time indoor positioning and detection of objects and human-bodies with low-quality, inexpensive sensors. ^[1] Therefore, an operation strategy based on real-time indoor temperatures was proposed and a new integrated model based on dynamic hydraulic conditions combining with real-time temperatures were developed. ^[2] Visible light positioning (VLP) is a cost-effective solution to the increasing demand for real-time indoor positioning. ^[3] In this paper, a commercial high-accuracy, low-cost and real-time indoor building-level localization system is proposed, which is applicable for locating the Minimization of Drive-Tests (MDT) data in the long-term-evolution (LTE) cellular communication network system. ^[4] This paper aims to investigate whether a Bluetooth low-energy-based real-time indoor positioning system can monitor task progress from workers’ presence. ^[5] Real-time indoor positioning using ultra-wideband devices provides an opportunity for modern dairy farms to monitor the behavior of individual cows; however, missing data from these devices hinders reliable continuous monitoring and analysis of animal movement and social behavior. ^[6] To provide a real-time indoor position system with high precision and stability is necessary under many circumstances. ^[7] In addition, the time cost for one positioning meets the requirement of real-time indoor localization. ^[8] In this context, digital data can be transmitted by the specific lighting system of each artwork and received by the nearby standing visitors, allowing a complete set of dedicated services such as augmented reality (AR) and real-time indoor positioning, exploiting the directionality of the optical channel. ^[9] We also demonstrated the performance of the controller for real-time indoor and outdoor navigation in a real insect-like robot without any landmark and cognitive map. ^[10] The required input data for the controller are the real-time indoor and outdoor PM2. ^[11] We aimed to understand whether cognitive function was associated with real-time indoor concentrations of particulate matter (PM2. ^[12] The aim of the current research is to utilize a real-time indoor tracking of material and labor flows to evaluate an assembly kit–based management of construction projects. ^[13] In this paper, we propose an adaptive real-time indoor intrusion detection system using subcarrier correlation-based features based on the characteristics of narrow frequency spacing of adjacent subcarriers. ^[14] In this article, we propose a tensor generative adversarial net (Tensor-GAN) scheme for real-time indoor localization, which achieves improvements in terms of localization accuracy and storage consumption. ^[15] VALID is pilot-studied, deployed, and operated in the wild to infer real-time indoor arrival status of couriers, and improve their status reporting behavior based on the detection. ^[16] So, in this paper we propose the design, implementation and evaluation of a real-time indoor localization system using commodity WiFi signal. ^[17] • A real-time indoor air quality monitor was used to monitor indoor air parameters every 5 mins over one year. ^[18] This study developed models to predict real-time indoor PM10 concentration in the daycare centers, kindergartens, and elementary schools using outdoor environmental data. ^[19] Ninety households in Rwanda were enrolled and provided with an air quality sensor and feedback device, which measured real-time indoor air quality as PM2. ^[20] This paper presents a real time indoor air quality monitoring system based on internet of things using Message Query Telemetry Transport (MQTT). ^[21] 4 GHz wireless devices choose lower and lower power consumption strategy, it is challenging to design an ultra low power based real time indoor localization system. ^[22]