Recent Advances in Computer Science and Communications - Volume 14, Issue 6, 2021

Background: The field of cloud computing has been evolving for over a decade now. Load balancing is an important component of cloud computing. Load balancing implies scheduling of cloudlets (tasks) on virtual machines. Since this is an NP-hard problem, various heuristics for load balancing have been proposed in the research literature. The heuristics have been categorized, simulated and benchmarked in various Read More

Background: One of the state-of-the-art techniques for question answering frameworks is using linked data by converting the user input into SPARQL which is the query language for linked data. Objective: The main target is to emphasize the most fundamental issues while developing a question answering frameworks that accept input in natural language and converting it into SPARQL. Methods: The trend of applying link Read More

Background: Nature-Inspired Algorithms (NIAs) are the most efficient way to solve advanced engineering and real-world optimization problems. Since the last few decades, various researchers have proposed an immense number of NIAs. These NIAs get inspiration from natural phenomenon. A young researcher attempting to undertake or solve a problem using NIAs is bogged down by a plethora of proposals that exist today. Read More

Aim: The accuracy of the non-cooperative iris recognition is highly dependent on the proper segmentation of the iris region from the input eye image. The traditional non-cooperative iris segmentation algorithms decrease significantly because of several noise factors such as specular reflections, occlusions, eyelashes, and eyelids. However, several techniques are developed to overcome these drawbacks in the iris seg Read More

Introduction: Educational Data Mining and Machine Learning Models gained more interest among researchers and academicians in recent years. These are used to extract meaningful data from the educational database can be applied to predict the student academic performance. Objective: The main objective of this research shows the capability to predict the student's performance and is highly beneficial to take remedial a Read More

Background: Regarding the multi-attribute decision making where the decision information is the interval-valued intuitionistic fuzzy number and the attribute weight information is not completely determined. Methods: Intuitionistic fuzzy set theory introduces non-membership function, as an extension of the fuzzy set theory, it has certain advantages in solving complex decision-making problems. A projection model based inte Read More

Background: Gait recognition focuses on the identification of persons from their walking activity. This type of system plays an important role in visual surveillance applications. The walking pattern of every person is unique and difficult to replicate by others. Objective: The present article focuses on to develop a person identification system based on gait recognition. Methods: In this article, a novel gait recognition approac Read More

Background: The gear shifting comfort of tractors is affected by various factors, which make it extremely difficult to accurately and quantitatively describe the handling comfort through objective physical quantities. However, the calculation and evaluation processes of the index of manipulation comfort mostly involve the operation of matrix form, and the numerical operation is one of the powerful core functions of MATLAB. Obje Read More

Aim: This research aims to find a low cost, safe and feasible approach for localisation in underground tunnels. Objective: The objective of this study is to design a system for drone self-navigation in underground GPS-denied areas. Methods: The self-navigation system proposed by this research utilises triangle similarity for depth measurement and Quick SIFT key points for marker detection, whereas distance measurement relies Read More

Background: In this paper, a Convolutional Neural Network to extract the seizure features and classify them into normal or absence seizure class, is proposed as an empowerment of monitoring system by automatic detection of absence seizure. The training data is collected from the normal and absence seizure subjects in the form of Electroencephalography. Objective: To perform automatic detection of absence seizure using sin Read More

Background: In order to retrieve a particular image from vast repository of images, an efficient system is required and such an eminent system is well-known by the name Content-Based Image Retrieval (CBIR) system. Color is indeed an important attribute of an image and the proposed system consist of a hybrid color descriptor which is used for color feature extraction. Deep learning has gained a prominent importance Read More

Background: Wireless Sensor Networks (WSN) are of crucial importance in today's applications and are very useful in creating an intelligent environment. The characteristics of WSN such as the increasingly smaller size of the sensors, their lower cost, and wireless communication support etc., allow the sensor networks to quickly invade several areas of application and have made them a very active field of research. They i Read More

Background: In India, three-wheeler auto diesel engines are also known as autorickshaw, play a vital role in day to day transportation. On the other hand, it pumps huge amount of harmful exhaust emissions into the atmosphere. As per the study by European Union 1% of India’s over two billion tonnes of annual vehicular CO2 emissions are from autorickshaws. Objective: To address the issue of high exhaust emissions from diesel Read More

Background: YOLOv3-Tesseract is widely used for the intelligent form recognition because it exhibits several attractive properties. It is important to improve the accuracy and efficiency of the optical character recognition. Methods: The YOLOv3 exhibits the classification advantages for the object detection. Tesseract can effectively recognize regular characters in the field of the optical character recognition. In this study, a YOLOv3 Read More

Background: Event log data generated in the software development process contains historical information and future trends in software development activities. The mining and analysis of event log data contribute to identify and discover software development activities and provide effective support for software development process mining and modeling. Methods: Firstly, a deep learning model (Word2vec) was used Read More

Background: Predictive analytics has a multiplicity of statistical schemes from predictive modelling, data mining, machine learning. It scrutinizes present and chronological data to make predictions about expectations or if not unexplained measures. Most predictive models are used for business analytics to overcome loses and profit gaining. Predictive analytics is used to exploit the pattern in old and historical data. Obje Read More

Background: Throughout the past few years, numerous Medium Access Control (MAC) protocols, routing protocols, node deployment mechanisms and duty cycle variation schemes have been designed for achieving high throughput, low delay and jitter, and long network lifetime in Wireless Sensor Networks (WSNs). In a WSN with static sink, voluminous sensors transmit their sensed data to the sink node. The coordinators m Read More

Background: Numerous E – Migrants databases assist the migrants to locate their peers in various countries; hence contributing largely in communication of migrants, staying overseas. Presently, these traditional E – Migrants databases face the issues of non – scalability, difficult search mechanisms and burdensome information update routines. Furthermore, analysis of migrants’ profiles in these databases has remained Read More

Background: Development in innovation for remote detecting and mechanization have persuaded the wide selection of the mechanical improvements in all fields of studies and applications. Objective: Fundamentally, the countries with high reliance on horticulture have improved the conventional support of the harvests and procedures with the summon of advances like remote detecting or sensor-based systems or In Read More