![]() ![]() This paper describes our algorithms and infrastructure for proximity sensing, as well as some of the clients we have implemented for various applications. printers and conference rooms) and in the physical range over which other people and places can be found. As more people use the system, NearMe grows in both the number of places that can be found (e.g. ![]() Many "location-aware" applications only require proximity information, and not abso- lute location: examples include discovering nearby resources, sending an email to other persons who are nearby, or detecting synchronous user operations be- tween mobile devices. Because we base NearMe entirely on proximity information, NearMe works "out of the box" with no calibration and minimal setup. absolute locations, which requires extensive a priori calibration and configuration. Traditional location sensing systems compute and compare. NearMe compares clients' lists of Wi-Fi access points and signal strengths to compute the prox- imity of devices to one another. NearMe is a server, algorithms, and application programming inter- faces (APIs) for clients equipped with 802.11 wireless networking (Wi-Fi) to compute lists of people and things that are physically nearby. Experimental results show that C-SCAN achieves high detection accuracy with low latency, even in dense Wi-Fi environments. We implement a prototype of C-SCAN using a Bluetooth-compliant wireless transceiver and demonstrate its efficiency. Thereby, a significant performance gain in terms of delay and energy is obtained. By excluding the channels determined to be empty, the Wi-Fi scanning manager can perform scanning only on available Wi-Fi channels. ![]() #123 flash chat on raspberry pi 3 Bluetooth#To this end, C-SCAN inspects channel information with a low-power Bluetooth radio and identifies which Wi-Fi channels are in use, prior to the actual channel scanning with a Wi-Fi interface. In this paper, we present a novel scheme, called C-SCAN, that exploits a low-power wireless personal area network (WPAN) interface such as Bluetooth or ZigBee integrated into the device to offload¹ Wi-Fi scanning overhead by suppressing unnecessary scanning of AP-free Wi-Fi channels. This often induces unnecessary scanning latency and/or energy consumption. #123 flash chat on raspberry pi 3 full#Therefore, traditional scanning algorithms seek to discover available APs by scanning the full set of channels, including channels where no APs exist. However, it is a challenging task to design an intelligent scanning algorithm that can discover available access points (APs) in a short time period, because the scanning station has no prior. Wi-Fi channel scanning-the task of searching for available channels at a given location-is a fundamental feature to maintain always-available and high-quality wireless connectivity in today’s mobile devices. This paper describes a development of power factor correction based of single phase static VAR compensator (SVC) using microcontroller by control firing angle of Thyristors to improve the quantities of reactive power will be absorb and offer by SVC device to maintain power factor near to unity, also a prototype of smart electrical protection system to send data and measurement of electrical sensor to site web using Raspberry pi as server, when the current reach the maximum values or short-circuit in the line, the server send a message and musical alert to web page. To improve Losses reduction and Energy Efficiency Requires to use Robust Control of Reactive Power in Transmission Lines by flexible alternative current transmission device (FACTS) which ensure the stability and reliability of electrical system and power factor. The reactive power transmission in electrical network induces increasing in the line current with some effect on transformers and isolators so increasing in losses and short-circuits. ![]()
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