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Research Article
Chi Tran* View abstract
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ShareOn 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 -
Research Article
Morteza Kiadi, Qing Tan* and José R Villar View abstract
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ShareFinding 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
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Research Article
Chunshien Li* View abstract
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SharePrediction 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
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Mini Review
Kornyushkin A* View abstract
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ShareA 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
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Review Article
Akman O* View abstract
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ShareLet 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
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Mini Review
AS Molyakov* View abstract
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ShareThe 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
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Review Article
Xinzhou Wei* and Astrid Frank View abstract
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ShareAs 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
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Research Article
Fasidi FO and Adebayo OT* View abstract
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ShareSince 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
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Mini Review
Alamgir Naushad* View abstract
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ShareOpen 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
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Research Article
Faisal Salah* View abstract
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ShareThe 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
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Research Article
Selda Calkavur View abstract
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ShareThis paper presents an image secret sharing method based on Shamir secret sharing method. We use the matrix projection to construct secret sharing scheme. A secret image to be divided as n image shares such that: i) Any k image shares (k ≤n) can be used to reconstruct the secret image in lossless manner and ii) Any (k-1) or fewer image shares cannot get sufficient information too reveal the secret image. It is an effective, reliable and secure method to prevent the secret image from being lost, stolen and corrupted. In comparison with other image secret sharing method this approach’s advantages are its strong protection of the secret image and its ability for real time processing..... ReadMore
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Review Article
Kexiang Xu ay View abstract
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ShareFor a graph G, the second Zagreb eccentricity index E2(G) and eccentric connectivity index ()cG∈ are two eccentricity-based invariants of graph G. In this paper we prove some results on the comparison between 2()EGm and ()cGnξ of connected graphs G of order n and with m edges..... ReadMore
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Mini Review
Ajay Rana View abstract
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ShareComputer science has contributed a lot for making the life of human being smooth. The recent developments in the field of computer science are proven to be more smarter and more applicable structures result from marrying the learning capability of the applications with the transparency and accuracy. Foundations of computer science applications highlights the advantages of integration making it a valuable resource for the students and researchers in engineering, computer science and applied mathematics. The authors’ tried to lime light various applications that are an asset to industrial practitioners, corporates, academicians and professionals for control systems, data analysis and optimization tasks. With the continuous improvisation in the computer science applications the need of the young generation is fulfilled, a..... ReadMore
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Short Communication
Gunnar Wolf * View abstract
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SharePrivacy in the age of pervasive computing and networking is a very hard topic to fully grasp. Any serious attempt at discussing it must take many different angles into account. User interactions grow richer month after month, and due to Big Data techniques, more information about each individual is known to third parties than to the person in question themselves; this is illustrated in the concept of inverse privacy [4]. What is a user to do to keep at least a basic expectation of privacy? Due to the pervasive analysis, a user can only expect their actions to remain private by becoming anonymous-By incorporating into their everyday activities Privacy Enhancement Technologies (PETs) that avoid each of their actions to be linked into a wide-encompassing profile. ..... ReadMore
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Research Article
Mohammad Hossein Barkhordari View abstract
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ShareOver the past decade the amount of transactions and reported frauds on Automated Teller Machines (ATM) has significantly increased. Various types of frauds have been reported around misusing ATM cards and many methods have been deployed to detect and prevent them. In some countries, banks sell ATMs to investors under predefined circumstances and pay them in commission in order to increase the availability of the service but some ATM owners have been found to create fake transactions to obtain extra commissions. This paper attempts to detect such frauds using a two-stage method. In the first stage fraudulent customers are detected by certain rules and in the second stage their accomplices are identified using transaction loop and cycle detection algorithm. Transactions of an Iranian bank have been used to evaluate the proposed method and ..... ReadMore
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Opinion
Christos Beretas* View abstract
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ShareThe Internet of Things is a concept that has been heard quite a lot in recent years, a concept that slowly emerged, but over time it has experienced a booming growth that was then adopted not only by giant ITcompanies, offering according to the directions of each company that adopts the corresponding services and applications to the end user. Undoubtedly this technology has come to stay for a long time, it has come to improve our living conditions and to simplify habits and functions that required time and many times difficulties...... ReadMore
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