Recent Advances in Computer Science and Communications - Volume 15, Issue 2, 2022

Background: Mining Twitter streaming posts (i.e., tweets) to find events or the topics of interest has become a hot research problem. In the last decade, researchers have come up with various techniques like bag-of-words techniques, statistical methods, graph-based techniques, topic modelling approaches, NLP and ontology-based approaches, machine learning and deep learning methods for detecting events from tw Read More

Aims: To optimize the economic and emission dispatch of the thermal power plant. Background: Considering both the economic and environmental aspects, a combined approach has been developed to attain a solution for a problem known as the combined economic and emission dispatch problem. The CEED problem is a non-linear bi-objective problem with conflicting behaviour having all the practical constraints. Objective: Read More

Aims: The main focus of this work is to improve balanced and sinusoidal grid currents by feeding compensating current at the point of common coupling (PCC). Background: In recent years, the advancement in electronics and electrical appliances is widely improved and is also more sophisticated. These appliances require uninterrupted and quality power. Therefore in the growing power system scenario, several issue Read More

Aim: To improve the smart cart application for better user flexibility. Background: Users are able to easily purchase products using a smart cart. We have designed a strategy for these smart carts such that a person does not have to stand in a queue for their bill. The stock update is automatically recorded in the server. Objective: The objective of this work is to find an alternate solution for shopping that is timesaving. Methods: We Read More

Aims: This study analyzes feature selection techniques for text data composed of heterogeneous sources for sentiment classification Objectives: The objective of work is to analyze the feature selection technique for text gathered from different sources to increase the accuracy of sentiment classification done on microblogs. Methods: Three feature selection techniques Bag-of-Word(BOW), TF-IDF, and word2vector were applie Read More

WSN has been exhilarated in many application areas such as military, medical, environment, etc. Due to the rapid increase in applications, it causes proportionality to security threats because of its wireless communication. Since nodes used are supposed to be independent of human reach and dependent on their limited resources, the major challenges can be framed as energy consumption and resource reliability. Ensuring sec Read More

Cry is the universal language of babies to communicate with others. Infant cry classification is a kind of speech recognition problem that should be treated wisely. In the last few years, it has been gaining momentum and if it is researched in depth will be of help for caretakers and the community at large. Objective: This study aims to develop an infant cry classification system predictive model by converting audio signals into spect Read More

Background: Many network symptoms may occur due to different reasons in today's computer networks. The finding of a few kinds of these interesting symptoms is not direct. Therefore, an intelligent system is presented for extracting and recognizing that kind of network symptoms based on prior background knowledge. Methods: Here, the main target is to build a network-monitoring tool that can discover network s Read More

Introduction: Regarding complex network, to find optimal communities in the network has become a key topic in the field of network theory. It is crucial to understand the structure and functionality of associated networks. In this paper, we propose a new method of community detection that works on the Structural Similarity of a Network (SSN). Methods: This method works in two steps, in the first step, it removes edges betw Read More

Introduction: Brain tumor is among the major causes of morbidity and mortality rates worldwide. According to the National Brain Tumor Foundation (NBTS), the death rate has nearly increased by as much as 300% over the last couple of decades. Tumors can be categorized as benign (non-cancerous) and malignant (cancerous). The type of the brain tumor significantly depends on various factors like the site of its occurrenc Read More

Introduction: Integrated mixed-criticality systems are becoming increasingly popular for application-specific systems that need a separation mechanism for available onboard resources and the processors equipped with hardware virtualization, which allows the partitions to physical resources, including processor cores, memory, and I/O devices, among guest Virtual Machines (VMs). For building mixed-criticality comp Read More

Introduction: The position and pose measurement of the rehabilitation robot plays a very important role in patient rehabilitation movement, and the non-contact real-time robot position and pose measurement is of great significance. Rehabilitation training is a relatively complicated process, so it is very important to detect the training process of the rehabilitation robot in real-time and its accuracy. The method of deep learning ha Read More

Introduction: An advanced, reliable and fast vehicle detection-and-tracking technique is proposed, implemented and tested. In this paper, an advanced-and-reliable vehicle detectionand- tracking technique is proposed and implemented. The Real-Time Vehicle Detection-and- Tracking (RT_VDT) technique is well suited for Advanced Driving Assistance Systems (ADAS) applications or Self-Driving Cars (SDC). Methods: The Read More