An IoT-based framework for early identification and monitoring of COVID-19 cases

Skin cancer is a widespread and fatal disease in developing countries nowadays. Hence initial phase medication is possible. Skin cancer arose due to the aberrant expansion of skin cells. There could be many other feasible causes for skin cancer. It is so difficult to detect skin cancer. Melanoma and non-melanoma are frequent categories of skin cancer. It is anticipated that virtually 2000 people die due to non-melanoma lesions. In this paper proposed skin cancer detection technique is applied using a fuzzy expert system established on asymmetry, color, border, evolving, and diameter. Simulation results show better results than earlier published results.

Intelligence Skin Cancer Detection using IoT with a Fuzzy Expert System

Information technology in emergency management of COVID-19 outbreak.

This article aims to identify some of the most significant security risks an organization may face if it does not consider the inherent risks associated with personal devices in the workplace. Also, mention some security measures, such as secure configurations (hardening) and tools, to mitigate these risks and strengthen the current working environment's security baseline. A security review of personal mobile devices raises awareness among employees and employers so that sensitive information is handled securely for both parties.

Smartphone Security Hardening: Threats to Organizational Security and Risk Mitigation

Realizing secure and fast communication in smart homes is still a challenging task due to slow and imperfect information reception from end nodes for proper traffic control. The image data captured through high-resolution cameras demand high-speed data link nodes having a capacity of more than 10 Gbps. The advancement in technologies makes it possible to send accurate and timely images data to store in clouds. LiFi is a wireless technology that uses lights for data transmission between devices. The speed of LiFi is 100 times greater than Conventional WiFi Technology. A Proposed Architecture for Traffic Monitoring & Control systems via LiFi Technology in Smart Homes is presented in this paper. The proposed model is the multi-purposed model like we can control, manage and identify traffic vehicles on time.

A Proposed Architecture for Traffic Monitoring & Control System via LiFi Technology in Smart Homes

Almost 3,000 cases of respiratory disease due to a new coronavirus from Wuhan, China were registered between 1 December 2019 and 26 January 2020. The diagnosis of coronavirus in a human being on a wide scale was so hectic. This proposed research implements an Internet of Things (IoT) approach enabled by Fuzzy Inference System (FIS) to intelligently and efficiently predict the coronavirus known as ' IoT enabled Smart Monitoring of Coronavirus empowered with Fuzzy Inference System (IoTSMCFIS) ' which smartly monitors and predicts either human is the victim of Coronavirus or not. For simulations, the IoTSMCFIS proposed system uses MATLAB 2019a and the proposed system indicates promising results regarding the simulations.

Naveed Hussain

Papers

IoT enabled Smart Monitoring of Coronavirus empowered with Fuzzy Inference System