Growing chip integration density and increasing frequencies lead to tremendous leakage power and henceforth to chip heat problems. Power management is one possibility to reduce the power consumption and get the temperature problem under control. Current technology mainly focuses on power-gating techniques on basis of multi-core systems but leaving the network perspective out of scope. We provide a holistic concept, bringing together voltage and frequency scaling techniques for networkon-chips. Following this, network static power consumption could be minimized without affecting the system performance. We present a light-weight power manages-ment controller for network-on-chips with online monitoring to optimize the power consumption of network resources. Our work comprises a hardware simulation model for design space exploration of varying technology specific parameters and an FPGA based prototype for verification. The power saving potent-tial heavily depend on the network communication load. Keywords-network-on-chip, router, power management, voltage scaling, frequency scaling, clock gating, power gating I.INTRODUCTION Network-on-chips (NoCs) provide a scalable communication infrastructure for architectures with huge numbers of process-ing elements. To preclude that communication becomes the bottleneck in large multiprocessor designs, powerful network routers with large throughput are necessary. Consequently the proportion of network resources of the overall resource consumption is not negligible any longer. Since the start of CPU development, processor frequency increased from few Megahertz to around three Gigahertz. However, in the last few years, core frequency growth has slowed. One of the reasons is a highly significant heat emission which comes in conjunction with increasing frequencies. Chip temperature can increase so much that it could cause actual physical damage to the chip. Because of the tremendous generated heat, simple cooling mechanisms are no longer strong enough to carry away the heat. To prevent the hardware from destruction, hardware monitors are included in the chips and switch off the device before it comes to actual damage. For taking corrective actions even before the heat increases too much, dynamic voltage and frequency scaling (DVFS) methods are applied [1]. The majority of DVFS methods focuses on the processor perspective and the communication is not considered. However, there are first developments to extend these methods also to the network layer [2], [3], [4].With shrinking technology sizes, especially beyond 90nm, the amount of static power dissipation reaches a critical proportion of the total power. Accessory, the increasing static power dissipation causes high temperatures even in idle cir-cutis and hence the static leakage is not negligible any more. The rising complexity of on-chip communication structures, is reaching a state where dedicated power management becomes beneficial. Moreover, with increasing network sizes it will not be possible to have one globally sy...

The emergence of the coronavirus (covid-19) pandemic has substantially elevated the worldwide demand for the healthcare system. Massive numbers of elderly and prone human beings are scuffling to fitness situations such as high blood pressure, diabetes, heart attack, and so on. Here in our project, I am making healthcare with the help of an algorithm and deep learning method to predict the disease. A user interacts with the system just like one interacts with his doctor and based on the symptoms provided by users and the system will identify the symptom and predict the disease. Thus, target to layout and implement a low- priced and smart healthcare system that allows non-stop assessment and tracking of patient fitness, thus BP and frame temperature monitoring is critical for that I used sensors that transmit information over a wi-fi network via a wi-fi module that allows fact analytics and visualization by using healthcare workforce.