A corona virus has infected more than 36,087,836 people and 1,055,387 Deaths since December 2019. As it rapidly spreads across the planet, scientists and public-health experts are racing to slow down the spreading and trying to find methodologies to detect it. To do that, they need to understand the new virus. It’s called severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2. There are different ways to diagnose the COVID-19, but they are cost-effective and increasing the time taken to produce, buy using chest x-ray we can reduce cost and result in time. But to diagnose x-ray’s we need expert radiotherapists. Thus, we developed a model that automatically detect COVID and non-COVID X-rays. These days Deep Learning algorithms showing the foremost results in Disease classification. Also, features learned by pre-trained Convolution Neural Networks (CNN) models on large-scale datasets are much useful in image classification tasks. we train and test our model to analyze the images as COVID or normal. we analytically determine the optimal CNN model for the purpose. The accuracy metrics are used to validate the classification of the model.
In the general smart home, the system is an add-on to home automation and automation of systems guarantees human comforts like lighting, heating, ventilation, and security. In this proposed work, we have designed and implemented a low-cost smart home system using sensor multiplexing technique which is extendable, cheap, and multi-faceted and supported Node MCU (ESP8266). The sensors are used in the smart home to detect various flammable gases with the help of MQ-6 (LPG), MQ-7 (CO), and MQ-135 (CO 2 ) and environment parameters like temperature and humidity with the help of DHT11 sensor, and finally to detect intruder with the help of passive infrared rays (PIR) sensors. All the sensors' information is to measure and at the same time to upload it to IoT cloud (Ubidots) platform, and any sensor that exceeds its threshold value indicates an alert message on the LCD at the same time piezo-buzzer alerts in the form of beep sounds in surrounding areas. The major development of a home automation system is to comprehend most home appliances that use Wi-Fi for remote observance. Technological progress has increased the implementation of home systems leading to improved standards of living. Industrial smart home systems are still unaffordable to an enormous of the center and social class families. However, the emergence of low-cost microcontroller development boards, just like the Node MCU (ESP8266), has enabled the implementation of cheap and efficient home systems.
Computer networks have turn out to be most significant in the current society. The huge number of MNC'S hang on the good operative of their networks for communications, management, administration, online business solutions, etc. The WAN is the most necessary computer network used to join the different cities and states So in this paper, with the use of Cisco Packet Tracer we will design a WAN network. This paper defines how we can use the cisco packet simulation tool to improve a simulation model for the WAN network to the cities. The study provides understanding to the different concepts for example designing the topology for WAN networks, the assignment of ip addresses to devices,switches and routers , and the transmission of information using Virtual Wide Area Networks. (VWANs). .
The ANSI-based circular microstrip patch antenna is designed to work at 7.4GHz and 12GHz using HFSS simulator software for various WLN (Wireless Local Area Network) applications, Bluetooth, and IoT communications. The circular patch antenna is made using FR4, which is 4.4 KE, 1.6 mm high, and has a gain of 3 dB. It tests countless antenna features such as return loss, radiation adjustment, bandwidth, directivity, antenna gain, and radiation productivity.
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