Recent Advances in Computer Science and Communications - Volume 14, Issue 7, 2021

Background: With today’s emerging world of technology, fusion is the key factor in every field, especially in the field of medical and remote sensing. By fusing two or more images, we get necessary useful data in a particular fused image. So it is the best technique to remove noise data from those images. Methods: Noise or Blurring are those unwanted data that affects the quality of an image in terms of clarity. There are nu Read More

Background: The data is one of the prime assets in today’s world. The continuous data generation ultimately creates a huge volume of data that cannot be processed or stored by a normal relational database management system. This problem is addressed by a new concept: Big Data. Apart from the size of data, security and privacy of data are the more challenging issues in Big data technology. Objective: The primary objecti Read More

The existing studies have already revealed that the information on the web is increasing rapidly. Ambiguous queries and users’ ability to express their intention through queries have been one of the key challenges in retrieving accurate search results from the search engine. This paper in response explored different methodologies proposed during 2005-2019 by the eminent researchers for obtaining better search results. Read More

Background: Remote authentication in current networks such as IoT that connects many end-devices of low capacity must be light, accurate and scalable without threatening security. In general, biometrics is the most reliable way to authenticate users because of its efficient results in many applications. Objective: The biometric data is expressed by a feature vector that should be extracted and secured by reliable techniques Read More

Background: One of the most prevalent diseases these days is breast cancer which is common amongst women. This sickness has been increasing to an alarming rate due to the lack of accurate diagnoses. Early and accurate detection is one of the safest ways to cure a breast cancer patient. Objectives: The objective of this study was to provide a more effective way to accurately classify a cancer sample; whether is benign or Read More

Background: Emergency vehicles required a quick clearance so as to reach the destination with minimum delay and the human life could be saved. Emergency vehicle required a dedicated path for clearance. The dedicated path creates a chaos by blocking the entire route for others vehicles and it is not always possible to create a dedicated path. So there is an imperative need for a smart road navigation system which adapts Read More

Background: Cloud computing is an emerging technology today and playing an important role in providing the services through the internet. Users get enormous benefits like high accessibility of available application resources, faster time to market, fast development, deployment, lower startup, operations cost and much more. Cloud offers utilizing the benefits through the web services. Objective: The degrading factors such as lo Read More

Objectives: The main objectives of this manuscript are to investigate and diagnose rolling element bearing defects in its incipient stage. Methods: Vibration signal generated by the induction motor contains a series of frequency components that have rich and viable information about bearing health conditions. Recently, the Maximum Energy Concentration (MEC), measure of time-frequency spectrum has been employed to inv Read More

Background: With the rapid development of the domestic, independent heating system, the wall-hanging boiler has become the focus of concern for a large number of users. As an independent heat source, it has been widely applied in many places. Objective: Based on many deficiencies emerging from the wall-hanging gas boiler used at present, a novel electrothermal wall-hanging boiler is presented in this paper to reali Read More

Aims: In this paper, we propose an enhanced artificial bee colony (ABC) algorithm for the job shop scheduling problem. Background: Meta-heuristic approaches are widely applied to solve job shop scheduling problem and find the near optimal solutions in polynomial time. Objective: Improving performance of ABC algorithm to solve job shop scheduling problem. Methods: Using local search heuristics in ABC algorithm. Results: T Read More

Aims: Presenting a novel approach to identify Persian static symptoms in that the proposed sign language recognition system consists of two segmentation and feature extraction phases. In the segmentation phase, the hand region is separated by an effective segmentation method from the original image. Objective: (1) Introducing an effective framework to solve sensitivity to light conditions in identifying and recognizing Read More

Background: Identification of key processes and key paths plays an important role in project management and control. Therefore, in order to reduce the expected time of the project, some analysis methods other than engineering technology must be adopted. The Graphical Evaluation and Review Technique (GERT) is a useful tool in system analysis and design. The GERT can process the relationships in network diagrams, whi Read More

Background: Crop yield is affected by several agronomic factors such as soil type and date of sowing, and meteorological factors such as temperature and rainfall. While the agronomic factors are responsible for inter-region variations in yield, the year-wise yield variation in a particular region may be attributed to meteorological factors. Various Data Mining Techniques can be applied to analyse the effect of these factors Read More

Background: Automatic human emotion recognition system is an active area of research due to its wide applications in the field of Human Computer Interaction(HCI) systems, driver fatigue monitoring systems, surveillance systems, human assistance systems, smile detectors etc. Objective: The study presents a fuzzy based approach to extract facial features from input image and builds different classification mod Read More

Aims: The paper is concerned with the problem of robust H∞ output feedback control for photovoltaic nonlinear system. Background: The PV systems are built to transform sun irradiance into electrical power. The dc-dc converters, such as buck type, boost type, and buck-boost type, have been widely implemented in the PV systems. Linear controllers for dc-dc converters are often designed based on mathematical models. Read More

Background: In the era of Internet of Things (IoT), automation of home and security systems is becoming remarkably easy. Many research works have also been conducted to bring the most convenient way of automating home appliances and security systems. But little research has been carried out in providing the most comprehensive or autonomous or self-controlled home automation. This paper aims to provide a comp Read More

Background: The notion of fuzzy set was introduced by Zadeh. After that, many researchers extended the concept of fuzzy sets in different ways. Atanassov introduced the concept of intuitionistic fuzzy sets as an extension of fuzzy sets. This concept is applied in many fields such as bio-informatics, image processing, decision making, feature selection, pattern recognition, etc. Objectives: The prime objective of this paper Read More

Background: Gender recognition is one of the most challenging perceptible tasks, which is gaining attention in the increasing digital data era as the requirement of a personalized, reliable and ethical system inevitable. A problem that we address in this paper greatly deals with the gender based identification system. We are motivated by this problem as many recent social interactions and existing services rely on the gender of a Read More

Background: Hub Location Problem (HLP) deals with long-term strategic decision planning in various application domains with the aim of reducing overall transportation cost. It deals with identifying hubs and allocating spokes to hubs in order to route the flow of goods between origin-destination locations. Due to the complex nature of the problem, meta-heuristic algorithms are best suited to solve HLPs. The existing al Read More