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