Recent Advances in Computer Science and Communications - Volume 14, Issue 1, 2021

Finding High Utility Itemsets (HUIs) is one of the major problems in the area of frequent itemsets mining. However, HUIs mine lots of redundant itemsets which degrade the performance and importance of high utility itemsets mining. For overcoming this limitation, closed HUIs mining has been proposed. Closed high utility itemsets mining finds complete and non-redundant itemsets. In this paper, we give recent studies on Read More

Influence Maximization, which selects a set of k users (called seed set) from a social network to maximize the expected number of influenced users (called influence spread), is a key algorithmic problem in social influence analysis. In this paper, we give recent studies on influence maximization algorithms. The main goal of this survey is to provide recent studies and future research opportunities. We give taxonomy of influence Read More

Background: Bat Algorithm is one of the swarm intelligence techniques inspired from the echolocation of bats. In this work, many variants of Bat Algorithm are studied which are developed by various researchers. Despite its drawback of getting trapped in local optima, it is preferred over other swarm intelligence techniques. Considering the performance of Bat Algorithm and to extend the existing work, biological behavior Read More

Background: Intrusion Detection System (IDS) is a Software application which gives the facility to monitor the traffic of network, event or activities on network and finds out any malicious operation if present. Objective: In this paper, a new protocol was developed that can detect the Wireless Network Attack based on the reference of TCP/IP Model. In the proposed system the new feature is integrated in the IDS which are built Read More

Objective: The blended fusion of Support Vector Machine (SVM) and Principal Component Analysis (PCA) have been widely used in recognizing handwritten digit characters of Devanagari script. The feature information from the character is extracted using its skeleton structure which optimally reduce data dimensionality using PCA. There is ample information available on handwritten charac-ter recognition on Indian a Read More

Background: The jammer in a wireless sensor network is located and tracked with open access and shared nature of the wireless medium. The existing algorithms mainly track the stationary jammer. Mobile jammer often moves from one place to another becoming difficult. Mobile jammer location tracker algorithm is proposed to find the location of a mobile jammer with four steps selection i.e., initial examining node, deter Read More

Background: Early detection of cervical cancer may give life to women all over the world. Pap-smear test and Human papillomavirus test are techniques used for the detection and prevention of cervical cancer. Objective: In this paper, pap-smear images are analysed and cells are classified using stacked autoencoder based deep neural network. Pap-smear cells are classified into 2 classes and 4 classes. Twoclass cl Read More

Background: Extreme growth of data necessitates the need for high-performance computing. MapReduce is among the most sought-after platform for processing large-scale data. Research work and analysis of the existing system has revealed its performance bottlenecks and areas of concern. MapReduce has the problem of skew on its processing nodes. This paper proposes an algorithm for MapReduce to balance the load and Read More

Background: Despite so many constraints, the limited battery power of the sensor nodes is the core issue in Wireless Sensor Networks. This compels how to extend the lifetime of the network as long as possible. One of the ways to solve the problem is to balance the relay traffic load to extend the lifetime. Objective: In this paper, a load balancing algorithm is suggested that selects the best possible relay node so that uni Read More

Background: Computational offloading is emerging as a popular field in Mobile Cloud Computing (MCC). Modern applications are power and compute-intensive which leads to the energy, storage and processing issues in mobile devices. Using the offloading concept, a mobile device can offload its computation to the cloud servers and receives back the results on the device. Objective: The main objective of the work is to Read More

Background: Nowadays, the demand for data science-related job positions have seen a huge increase due to the recent data explosion incurred by the industries and organizations globally. The necessity to harness and utilize the amount of information hidden inside these huge datasets for effective decision-making has become the need of the hour. However, this scenario is where a data analyst or a data scientist comes int Read More

Background: In WDM networks, there is a crucial need to monitor signal degradation factors in order to maintain the quality of transmission. This is more critical in dynamic optical networks as non-linear impairments are network state dependent. Moreover, PLIs are accumulative in nature, so the overall impact is increased tremendously as the length of signal path is increased. The interactions between different impairments al Read More

Background: The invention of WDM technology in optical communication system has completely revolutionized the telecomm industry through its high data carrying capacity and efficiency of transmission. Advanced optical modulation formats with high spectral efficiency, advanced components like Reconfigurable Optical Add Drop Multiplexers (ROADMS), OXC, and large bandwidth requirements contributed significan Read More

Background: Fuel is the most important source of energy essential for humanity. It plays a vital role in the economy of a country. Dependency on non-renewable resources like petroleum brings about manipulation of the oil market and an increase in the price of these resources. Excessive use of non-renewable resources leads to global warming. These resources exist in a finite quantity in nature, which makes renewable resour Read More

Aims: Internet of Things (IoT) is the evolution of the Internet designed to sense, collect, analyze and distribute the data via IoT devices that form its core component. An important aspect of pervasive IoT applications is its resource-constrained devices. Most of the real-time Edge-IoT applications generate a huge amount of data, which add to the resource consumption in these devices. To save resources in such applications, effici Read More

Introduction: Over the past decade Heart and diabetes disease prediction are major research works in the past decade. For prediction of the Heart and Diabetes diseases, a model using an approach based on rough sets for reducing the attributes and for classification, fuzzy logic system is proposed in this paper. Methods: The overall process of prediction is split into two main steps, 1) Using rough set theory and hybrid firefl Read More

Background: Glaucoma and diabetic retinopathy are known to be the prime reasons for causing irrevocable blindness in the world. However, the complete vision loss can be obstructed through regular screening of the eye to detect the disorder at an early stage. Objective: In this paper, we have presented a novel nonlinear optimization technique that helps in automatic detection of the optic disc boundary from retinal fundu Read More

Background: POS tagging is the process of identifying the correct grammatical category of words based on its meaning and context in a text document. It is one of the preliminary steps in the processing of natural language text. If any error happens in POS tagging the same will be propagated to whole NLP applications. Hence it must be handled in a genuine and precise way. Aim: The purpose of this study is to devel Read More

Objective: A new variant of energy-constrained Quickest Path Problem (QPP) is being addressed in Intuitionistic Trapezoidal Fuzzy environment. The consideration of energy with QPP enables to compute the path for continuity aware critical applications. This new variant problem called as Energy-constrained Intuitionistic Trapezoidal Fuzzy Quickest Path Problem (EITFQPP) has been considered and the computations for quickest pat Read More

Aim: The aim of this paper is to work on K-means clustering-based radio neutron star pulsar emission mechanism. Background: The pulsars are a rare type of neutron stars that produce radio rays. Such types of rays are detectable on earth and have attracted scientists because of their concern with space-time, interstellar medium, and states of matter. During the rotation of pulsar rays, rays are emitted in the whole sky Read More

Introduction: The present research work was carried out using an enhanced market prediction algorithm in the cloud-based business, handing out the CRM system. The approach that is being predicted will handle and forecast the business with a higher degree of precision and constancy, the outcome solution of which is found to be compatible with any organization. Methods: The CRM framework was proposed in order to over Read More

Introduction: The primary structure of the protein is a polypeptide chain made up of a sequence of amino acids. What happens due to interaction between the atoms of the backbone is that it forms within a polypeptide folded structure, which is very much within the secondary structure. These alignments can be made more accurate by the inclusion of secondary structure information. Objective: It is difficult to identify the seque Read More

High cholesterol, high blood pressure, diabetes, depression, obesity, smoking, poor diet, alcohol consumption, and no exercise are literally the major causes which have taken the life of many people in the world. All the parameters effect is the major slow points for Sudden Cardiac Death (SCD). As per the surveys conducted, there are 1 in 4 deaths caused due to a heart attack in the U.S alone. Ventricular Tachycardia (VT) Read More

Online purchases have been significantly increasing in the web world. Some of the big giants who have dominated the E-Commerce market worldwide are Amazon, FlipKart, Walmart and many others. Data generation has increased exponentially and analysis of this kind of dynamic data poses a major challenge. Further, facilitating consumer satisfaction by recommending the right product is another main challenge. This i Read More

Introduction: In the present scenario, the social media network plays a significant role in sharing information between individuals. This incorporates information about news and events that are presently occurring in the worldwide. Anticipating election results is presently turning into a fascinating research topic through social media. In this article, we proposed a strategy to anticipate election results by consolidating sub-event disc Read More

Background: Finding a region of interest in an image and content-based image analysis has been a challenging task for the last two decades. With the advancement in image processing, computer vision and a huge amount of image data generation, the Content-Based Image Retrieval System (CBIR) has attracted several researchers as a common technique to manage this huge amount of data. It is an approach of searching u Read More

Background: The rise of knowledge-rich applications has made ontologies as a common reference point to link the legacy IT systems. The interoperability and integration of two disparate systems in the same domain demand for the resolution of the heterogeneity problem. The major source of heterogeneity lies in the classical representation scheme of ontologies. Objective: Our objective is to present a novel approach Read More

This paper presents a novel Energy Efficient Clustering and Routing Algorithm (EECRA) for WSN. It is a clustering-based algorithm that minimizes energy dissipation in wireless sensor networks. The proposed algorithm takes into consideration energy conservation of the nodes through its inherent architecture and load balancing technique. In the proposed algorithm the role of intercluster transmission is not performed by Read More

Background: In this era of voluminous data, there is a need to process data speedily in less time. Moreover, it is also essential to diminish the dimensionality of data as well as to apply parallel computations for classification. SVM is a prominent classification tool and is currently one of the most popular state-of-the-art models for solving various classification problems that makes use of parallel computations to speed up its Read More

Background: In Regression testing when any changes made to already tested program it should not affect to other part of program. When some part of code is modified then it is necessary to validate the modified code. In the life cycle of software development, regression testing is an important and expensive activity. Objective: Our objective is to save regression testing time by reducing the cost and time of retesting of Read More

Background: Software testing is a time consuming and costly process. Recent advances in complexity of software have gained attention among researchers towards the automation of generation of test data. Objective: This paper focuses on the structural testing of object oriented paradigm based software and proposes a hybrid approach to automate the class testing applying heuristic algorithms. Methods: The proposed alg Read More

Background: Object detection algorithm scans every frame in the video to detect the objects present which is time consuming. This process becomes undesirable while dealing with real time system, which needs to act with in a predefined time constraint. To have quick response we need reliable detection and recognition for objects. Methods: To deal with the above problem a hybrid method is being implemented. This hyb Read More