Lupine Publishers Group

Bhanu Prakash

DOI : 10.32474/CTCSA.2020.02.000131

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The usage of mobile devices has surpassed the usage of desktop computers. Even organizations are more committed to their projects and commercialization options based solely on mobile front-end performance. Mobile usage is growing rapidly. However, are there standard guidelines for building mobile sites? Is it possible to transform an already existing desktop site into a mobilefriendly site? This research answers these questions while transforming an existing user interface into a mobile- friendly site and offers detailed instructions for doing so. It presents standard guide- lines for future refactors, offers specific design guidelines for building such a design ground up and establishes how this can be a continuum for creating mobile-friendly designs...... ReadMore

Zohre Ranjbar Mojaveri and Andras Farago

DOI : 10.32474/CTCSA.2020.02.000130

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Random graph models play an important role in describing networks with random structural features. The most classical model with the largest number of existing results is the Erd˝os-R´enyi random graph, in which the edges are chosen interdependently at random, with the same probability. In many real-life situations, however, the independence assumption is not realistic. We consider random graphs in which the edges are allowed to be dependent. In our model the edge dependence is quite general, we call it p-robust random graph. Our main result is that for any monotone graph property, the p-robust random graph has at least as high probability to have the property as an Erd˝os-R´enyi random graph with edge probability p. This is very useful, as it allows the adaptation of many results from Erd˝os-R´enyi random graphs to a non-independen..... ReadMore

Parhi Dayal R and Sat Chidananda

DOI : 10.32474/CTCSA.2020.02.000129

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In this paper application of average fuzzy inference technique has been analysed for navigation control of robotic agent. Also, the reviews of other AI techniques for control of robots are carried out. The robotic agent uses sensors to map the surroundings and take the decision with the help of Fuzzy AI technique to avoid obstacles. In this paper a novel averaging method has been deployed to optimize the results obtained from various fuzzy membership functions. Using the Average Fuzzy Inference technique robot navigates from start position to goal position avoiding obstacles while reaching the target. The simulation results agree with experimental results. The methodology can be used for various applications by the scientific communities to address various engineering problems...... ReadMore

Ali EL KSIMI and Cherkaoui LEGHRIS

DOI : 10.32474/CTCSA.2020.02.000128

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As objects connected to the Internet multiply, it is likely that the stateless IPv6 autoconfiguration service will finally be used on a large scale. Autoconfiguration aims to reduce the efforts of integrating machines into the local network to connect them to the internet. It is based on the mechanism of neighbour discovery (NDP: Neighbour Discovery Protocol) and does not require any administrative management of the assigned addresses. In this sense, one of the methods used to generate an IPv6 address is based on the physical address of the machine. However, this has resulted in privacy issues for many users. The latter are concerned that it is possible to go back to the physical computer by analysing the packets. Several approaches are proposed in the literature. In this paper, we propose a new mechanism for generating an IPv6 address us..... ReadMore

Gajendra Sharma

DOI : 10.32474/CTCSA.2020.02.000127

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With the advancement of technology learning process have been more reachable and interactive like never before. Till the data many online learning platforms have been introduced. The platforms with constant improvisation in teaching-learning techniqu have been able to sustain. For improvisation there need constant analysis of the data and implement the suggested changes are required. The analysis of the educational data is using data mining techniques is called Educational data mining. EDM helps to discover the patterns of learning behavior hidden in the data sets. This research paper aimed to do a review of different other papers which were based on EDM in online learning environment. It has been seen that most paper used classification and clustering as their data mining technique. K-means clustering has been used as cluster analysis te..... ReadMore

Wan Yeon Lee

DOI : 10.32474/CTCSA.2020.02.000126

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Blockchain and smart contract technologies were recently introduced. Due to their short histories, many issues have emerged but are not solved yet. In this article, we summarize the currently concentrated issues under developing with regards to smart contracts: vulnerability and cost optimization. We introduce other issues never considered but essential for successful commercialization of the smart contract technology. Also, we verify that the optimized code of smart contracts can significantly save transactions costs. Finally, we address that the cost-optimized design is affected by the platform type of blockchain systems. So, the vulnerability and cost analysis of smart contracts must consider the blockchain platform to be deployed...... ReadMore

Farhan Alta F

DOI : 10.32474/CTCSA.2020.01.000125

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This research work figures out the permanence of downlink LTE (Long Term Evolution) applying System Level Simulator [1]. The outcomes retrieved are related to the sector throughput and BLER (Block Error Rate), the user throughput and the interrelated CQI (Channel Quality Indicator) while entire simulation process. The main focus is based on the throughput versus the UDO and Rb. The synopsis applied gone into two antenna pattern, two system bandwidths, three packet tabulating plans and various account of users in the cell. To encounter the users speed on the system permanence is additionally estimated. The radio situation and status is sculpted in aforementioned simulator depicting that the outcomes retrieved might be gone into as a first steps in confining an LTE network for markets. The system is modeled according to commercial aspects o..... ReadMore

Behzad Soleimani Neysiani* and Seyed Morteza Babamir

DOI : 10.32474/CTCSA.2019.01.000123

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Duplicate bug report detection (DBRD) is one of the significant problems of software triage systems, which receive end-user bug reports. DBRD needs automation using artificial intelligence techniques like information retrieval, natural language processing, text and data mining, and machine learning. There are two models of duplicate detection as follows: The first model uses machine learning techniques to learn the features of duplication between pairs of bug reports. The second model called IR-based that use a similarity metric like REP or BM25F to rank top-k bug reports that are similar to a target bug report. The IR-based approach has identical behavior like the k-nearest neighborhood algorithm of machine learning. This study reviews a decade of duplicate detection techniques and their pros and cons. Besides, the metrics of their..... ReadMore

Jims Marchang*, Jing Wang, Abayomi Otebolaku, Timi Enamamu, Daniel Porter and Benjamin Sanders

DOI : 10.32474/CTCSA.2019.01.000121

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The popularity of data storage in cloud servers is getting more and more favored in recent times. Its ease of storage, availability and synchronization of personalized cloud file storage using client applications made cloud storage more popular than ever. In cloud storage system, using a basic authentication method like username and password are still one of the most popular forms of authentication. However, the security ensure by such traditional authentication method is weak and vulnerable because the username and password can be compromised by intruders or the user account can be left open by forgetting to logoff in public computers, leading to exposure of information to unauthorized users and hackers. In recent years, using a two-factor authentication has become a trend throughout network-base..... ReadMore

Ian Pyle

DOI : 10.32474/CTCSA.2019.01.000120

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HUW was designed in 1965, to provide interactive facilities for computer users at A.E.R.E. Harwell, England. The paper explains the thinking behind the design decision underlying HUW, with their implications for users and for the performance of the system. It reflects on the consequences of these decisions for users and the establishment. HUW was retired in 1982..... ReadMore

Chi Tran*

DOI : 10.32474/CTCSA.2019.01.000118

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On the one hand, we recognize the real world using usually intuitive perceptions through physical experiments and intuitive perception processing based on binary philosophy. However, physical quantum phenomenon indicates that each photon transfers in the way not agreement with the soul of binary philosophy. That is to say that we cannot use intuitive perception based on binary philosophy to understand the quantum world of subatomic transmitted with the light speed. On the other hand, the simultaneous appearance of two intuitive perceptions: ‘being’ and ‘non-being’ at the same time in the human brain, according to Georg Wilhelm Friedrich Hegel (1770-1831), created a counterintuitive perception expressed by rather meta language, ‘being-nonbeing’ that goes beyond the boundaries of the description of a common language..... ReadMore

Morteza Kiadi, Qing Tan* and José R Villar

DOI : 10.32474/CTCSA.2019.01.000116

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Finding the shortest path to reach a destination in an indoor environment is so important that it is deemed as one of the fundamental and classical topics of Reinforcement Learning. Identifying the best path to reach a destination in a maze has been used as a testbed to learn and simulate Reinforcement Learning algorithms. In this paper, we developed a faster pathfinding model by optimization of the Markov decision-making process and tweaking the model’s hyper-parameters. The proposed method allows researchers to use the suggested optimized model in bigger state spaces. The presented results assist the researchers in this field to get a better idea of the Reinforcement Learning tenets and contributes to Reinforcement Learning community by making this topic more accessible. The problem we are going to solve it in the context of finding t..... ReadMore

Chunshien Li*

DOI : 10.32474/CTCSA.2019.01.000115

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Prediction of time series is one of major research subjects in data science. This paper proposes a novel approach to the problem of multiple-target prediction. The proposed approach is mainly composed of three parts: the complex neuro-fuzzy system (CNFS) built by using complex fuzzy sets, the two-stage feature selection method for multiple targets, and the hybrid machine learning method that uses the multi-swarm continuous ant colony optimization (MCACO) and the recursive least squares estimation (RLSE). The CNFS predictive model is responsible for prediction after training. During the training of the model, the parameters are updated by the MCACO method and the RLSE method where the two methods work cooperatively to become one machine learning procedure. For the predictive model, complex fuzzy sets (CFS..... ReadMore

Kornyushkin A*

DOI : 10.32474/CTCSA.2019.01.000114

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A large (apparently, infinite!) number of internal symmetries of the lattice ZN is identified. Their presence stems from one interesting observation. It concerns Cellular Automation. If we take a secondorder reversible Automata [1] in its simplest version (the so-called Fredkin’s Simplified Automata whose behaviour depends solely on the shape of a certain neighbourhood in ZN), and run it under two certain conditions (arbitrary and arbitrary -”transliterated”), then they will continue going completely “symmetrical”, all the way, from the Point of Origin to the Point of the Mirror...... ReadMore

Akman O*

DOI : 10.32474/CTCSA.2019.01.000113

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Let Y (∈Ω) = p�. It was Tate who first asked whether associative functors can be extended. We show that N is homeomorphic to ν. In [1-3], the main result was the computation of completely composite elements. In [4], the authors extended Euclidean, n-Riemannian planes...... ReadMore

AS Molyakov*

DOI : 10.32474/CTCSA.2019.01.000112

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The author describes a new multi-tier supercomputer architecture based on non-classical operating principles and implements the MTDF architecture with support for 8 processor control modes for optimizing productivity, security and power consumption...... ReadMore

Xinzhou Wei* and Astrid Frank

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As a very import part of the Internet of Things (IoT), smart buildings usually consist of wireless sensor network (WSN) and many radio-frequency identification devices for data collection instantly. This paper presents a real time data collection and visualization scheme for smart buildings. We propose a framework that uses both open source hardware and software to collect the event driven data from a WSN and subsequently convert them to the query-based data which is needed by cloud server. Experiment results demonstrated that the proposed framework is feasible for efficiently visualizing data locally and preparing query-based data for cloud storage server...... ReadMore

Fasidi FO and Adebayo OT*

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Since the number of damage cases resulting from distributed denial-of-service (DDoS) attacks has recently been increasing, the need for agile detection and appropriate response mechanisms against DDoS attacks has also been increasing. The latest DDoS attack has the property of swift propagation speed and various attack patterns. There is therefore a need to create a lighter mechanism to detect and respond to such new and transformed types of attacks with greater speed. In a wireless network system, the security is a main concern for a user...... ReadMore

Alamgir Naushad*

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Open Shortest Path First (OSPF) is a well known and prominent Internet Protocol (IP) for network routing. By deploying a link state routing (LSR) algorithm OSPF comes under the category of interior gateway routing protocols. In today’s wireless ad hoc Internet, the current routing domain needs to maintain a peak level of service accessibility and availability, thus OSPF must be extended to the wireless ad hoc network for maximizing routing performance in the network by taking into account key routing issues, i.e., optimal Hello Interval, efficient flooding schemes, optimizing the traffic engineering related issues, optimum adjacency creations, connectivity factors, reducing control overhead, and QoS and security challenges. In addition, OSPF is very effective in its adoption of handling the n..... ReadMore

Faisal Salah*

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The aim of this work is to obtain the numerical solutions for the boundary layer flow of heat transfer of incompressible viscous fluid. The governing partial differential equations are converted into ordinary differential equation by using a similarity transformation. The nonlinear equation governing the flow problem is modeled and then solved numerically by means of a successive linearization method (SLM). The numerical results are derived in tables for comparisons. The important result of this comparison is to show the high precision of the SLM in solving system of nonlinear differential equations. Graphical outcomes of various parameters such as Prandtl number (Pr) and Eckert number (Ec) on the flow, field are discussed and analyzed. Besides this the present results have been tested and compared with the available published results in ..... ReadMore