Recent Advances in Electrical & Electronic Engineering - Volume 14, Issue 3, 2021

Background: Owing to the benefits of software refactoring, the software industry started adopting this practice in the maintenance phase as a means to improve developer’s productivity and software quality. As a result, proposing new techniques for refactoring opportunity identification and sequencing has become the key area of interest for academicians and industry researchers. Objective: This paper aims to perform a re Read More

Wireless communication is being used in all communication standards. However, with each passing day, the bandwidth scarcity has become a significant concern for the upcoming wireless technologies. In order to address this concern, various techniques based on artificial intelligence have been designed. The basic intelligent radio called cognitive radio has been devised. It works on the basic principle of spectrum sensing an Read More

Soil is a major and important natural resource, which not only support human life but also furnish commodities for ecological and economic growth. Ecological risk, such as degradation of soil pose a serious threat to the ecosystem. The high-stress level of heavy metals like chromium, copper, cadmium, etc., produce ecological risks, which include: decrease in the fertility of the soil; reduction in crop yield and degradation of me Read More

Background: Code smells are symptoms that something may be wrong in software systems that can cause complications in maintaining software quality. In literature, there exist many code smells and their identification is far from trivial. Thus, several techniques have also been proposed to automate code smell detection in order to improve software quality. Objective: This paper presents an up-to-date review of simple and h Read More

Background: In the present scenario, electricity theft is a major problem for the government. This problem affects the Indian economy since GDP goes down due to theft. Electricity is a part of living and its theft affects the common man who indirectly pays for the theft done by someone else in the form of extra charges. Methods: In this paper, we present a novel identification pattern-based energy fault detector, by leveraging t Read More

Dealing with the complexity of modern technological non-linear systems and their disturbances is a very challenging issue. Sliding Mode Control (SMC) can deal perfectly with the non-linear systems and their disturbances because its accuracy and stability are very high. In this paper, a brief review of SMC types, SMC methods, and SMC in the field of Fault Tolerant Control (FTC), are provided. It also gives brief details about the Read More

Background: With the development of the application of GPS satellite, the requirement of anti-jamming and integration for navigation receiving terminal is gradually raised. In terms of anti-jamming performance, because the satellite signal arrives at the ground with weak intensity and is vulnerable to electromagnetic interference, the positioning results are not available. Objective: Therefore, in complex electromagnetic e Read More

Background: In state-of-the-art nanometer metal-oxide-semiconductor-field-effect- transistors (MOSFETs), optimization of timing characteristic is one of the major concerns in the design of modern digital integrated circuits. Objective: This study proposes an effective back-gate-biasing technique to comprehensively investigate the timing and its variation due to random dopant fluctuation (RDF) employing Monte Carlo m Read More

Background: With the further development of the electric Internet of Things (eIoT), IoT devices in the distributed network generate data with different frequencies and types. Objective: Fog platform is located between the smart collected terminal and cloud platform, and the resources of fog computing are limited, which affects the delay of service processing time and response time. Methods: In this paper, an algorithm of Read More

Background: The day-ahead load forecasting is an essential guideline for power generating, and it is of considerable significance in power dispatch. Objective: Most of the existing load probability prediction methods use historical data to predict a single area, and rarely use the correlation of load time and space to improve the accuracy of load prediction. Methods: This paper presents a method for day-ahead load probability predi Read More