The paper "A novel value-based multiplier architecture to multiply BCD numbers by powers of 10"

The paper "A novel value-based multiplier architecture to multiply BCD numbers by powers of 10" was published by International Journal of Computer Aided Engineering and Technology on March 30, 2022. This paper proposes a novel multiplier to multiply BCD numbers by powers of 10. It uses a value-based architecture instead of the static architecture that is used in general multipliers. The proposed multiplier is composed of multiple embedded sub-multipliers so that each one multiplies one of the BCD numbers by the powers of 10. The multiplication results of each sub-multiplier are calculated by some mathematical equations based on input binary bits. Furthermore, the final output of the proposed multiplier are produced based the multiplication results of the sub-multipliers with the aid of a proposed selection unit.

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The paper "Speed Control for Leader-Follower Robot Formation Using Fuzzy System and Supervised Machine Learning"

The paper "Speed Control for Leader-Follower Robot Formation Using Fuzzy System and Supervised Machine Learning" was published by Sensors on May 14, 2021. This paper proposes an intelligent technique for speed control of a wheeled mobile robot using a combination of fuzzy logic and supervised machine learning (SML). The technique is appropriate for flexible leader-follower formation control on straight paths where a follower robot maintains a safely varying distance from a leader robot. A fuzzy controller specifies the ultimate distance of the follower to the leader using the measurements obtained from two ultrasonic sensors. An SML algorithm estimates a proper speed for the follower based on the ultimate distance.

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The paper "Intelligent Velocity Control of Mobile Robots Using Fuzzy and Supervised Machine Learning"

The paper "Intelligent Velocity Control of Mobile Robots Using Fuzzy and Supervised Machine Learning" was published by VSB - Technical University of Ostrava in proceedings of conference GIS Ostrava 2021 Advances in Localization and Navigation on March 17-19, 2021. This paper proposes an intelligent technique for velocity control of a wheeled mobile robot by simultaneously using a fuzzy controller and a supervised machine learning (SML) algorithm. The technique is suitable for flexible leader-follower formation control on straight paths where a follower robot maintains a safe but flexible distance from a leader robot. The fuzzy controller determines the ultimate distance of the follower with respect to the leader from the measurements of two ultrasonic sensors. The SML algorithm calculates an appropriate velocity for the follower based on the ultimate distance. Simulations showed the effectiveness of the proposed technique in adjusting the follower robot's velocity in order to maintain a flexible formation with the leader robot.

You could find more information about the paper and the conference via the link 1 and link 2, respectively.

The paper "A Double-controller Fuzzy Scheme for Intelligent Resource Discovery on IaaS Cloud Systems"

The paper "A Double-controller Fuzzy Scheme for Intelligent Resource Discovery on IaaS Cloud Systems" was published by International Journal of Networking and Virtual Organisations on 17 Jun 2021. This paper proposes a double-controller fuzzy scheme for intelligent resource discovery in IaaS cloud systems, called DOCFIR. This scheme applies two fuzzy controllers to perform the intelligent resource discovery across the network. The first controller determines the number of virtual machines in the deployment phase based on the most important characteristics of the physical machines. The second controller discovers the appropriate computing resources for the user's job in the service phase based on characteristics of the physical machines and user requirements. The simulation results show that the proposed scheme surpasses some of the existing related works in terms of the number of completed jobs and success rate.

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The paper "A Knowledge and Intelligent-based Strategy for Resource Discovery on IaaS Cloud Systems"

The paper "A Knowledge and Intelligent-based Strategy for Resource Discovery on IaaS Cloud Systems" was published by International Journal of Grid and Utility Computing on 30 Apr 2021. This paper proposes a knowledge and intelligent-based strategy for resource discovery in IaaS cloud systems, called KINRED. It uses a fuzzy system, a Multi-Criteria Decision Making (MCDM) controller and an artificial neural node to discover suitable resources under various changes on network metrics. The suggested fuzzy system uses hardware specifications of the computing resources in which CPU speed, CPU core, memory, disk, the number of virtual machines and utilisation rate are considered as inputs, and hardware type is considered as output of the system. The suggested MCDM controller makes proper decisions based on users' requirements in which CPU speed, CPU core, memory, and disk are assumed as inputs, and job type is assumed as output of the controller. Furthermore, the artificial neural node selects the computing resource having the highest success rate based on both outputs of the fuzzy system and MCDM controller. Simulation results show that the proposed strategy surpasses some of the existing related works in terms of the number of successful jobs, system throughput and service price.

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The paper "Novel Reversible CLA, Optimized RCA and Parallel Adder/Subtractor Circuits"

The paper entitled "Novel Reversible CLA, Optimized RCA and Parallel Adder/Subtractor Circuits" was published by Serbian Journal of Electrical Engineering in October 2020. This paper proposes reversible circuit designs of the three most commonly used adders: carry look-ahead adder (CLA adder), ripple carry adder (RCA adder), and parallel adder/subtractor. The n-bit reversible CLA adder, called CLA-GH, is designed using the Peres and Fredkin gates. The n-bit optimized reversible RCA adder, called ORCA-GH, is designed using the reversible circuit of a parity-preserving reversible full adder. Both circuits reduce the quantum cost. However, the ORCA-GH circuit also improves the number of constant inputs. Furthermore, the n-bit reversible parallel adder/subtractor, called PAS-GH, is designed using the Feynman, Peres, and Fredkin gates. It decreases the number of garbage outputs and quantum cost. The transistor realizations of the CLA-GH and PAS-GH circuits are provided accordingly. The evaluation results indicate that the proposed circuits surpass the existing works in all figures of merit.

You can obtain more information about this paper via the link.

The paper "Towards Designing Quantum Reversible 32-bit MIPS Register File"

The paper entitled "Towards Designing Quantum Reversible 32-bit MIPS Register File" was published by International Journal of High Performance Systems Architecture on May 1, 2020. It proposes a novel quantum reversible 32-bit MIPS register file for quantum computer processors. It presents a reversible 5-to-32 decoder, thirty-two reversible buffer registers, and two reversible 32-to-1 multiplexers, too. The proposed reversible decoder block, namely GH-DEC, and the proposed reversible multiplexer block, namely GH-MUX, use the Feynman, Toffoli, and Fredkin gates. They have been designed by a minimum number of constant inputs, number of garbage outputs, and quantum cost. Besides, output expressions of all the circuits are simplified to enhance the performance of proposed quantum design, considerably..

You can find more information about this paper via the link.

The paper "Waterative Model: an Integration of the Waterfall and Iterative Software Development Paradigms"

The paper entitled "Waterative Model: an Integration of the Waterfall and Iterative Software Development Paradigms" was published by Database Systems Journal on August 21, 2019. It proposes a new software development methodology, called waterative model, which applies an integration of the waterfall and iterative development paradigms. In this model, the iterative model is embedded into the waterfall model to use the advantages of both models as an integrated one. It, in the most cases, is appropriate for large software products that need a long-term period of time for the development process.

You can find more information about this paper via the link.

The paper "A Dynamic Replication Mechanism in Data Grid Based on a Weighted Priority-based Scheme"

The paper entitled "A Dynamic Replication Mechanism in Data Grid Based on a Weighted Priority-based Scheme" was published by i-manager's Journal on Cloud Computing in August 2019. This paper proposes a dynamic replication mechanism in a data grid that uses a weighted priority-based replication scheme, called WPRS. It specifies a value for each existing in a local storage based on three parameters including price, number of access time, and present time. When a resource is not available for a desired job, it is hired from other sites in the network. The proposed mechanism removes the file having the least value to increase the free space of data storage. Simulation results show that the proposed replication mechanism surpasses some of the existing replication methods in terms of the number of successful jobs, number of non-successful jobs, and buy price.

You can find more information about this paper via the link.

The paper "Implementation of an Autonomous Intelligent Mobile Robot for Climate Purposes"

The paper entitled "Implementation of an Autonomous Intelligent Mobile Robot for Climate Purposes" was published by International Journal of Ad Hoc and Ubiquitous Computing on June 30, 2019. This paper proposes an autonomous intelligent mobile robot for climate purposes, called ClimateRobo, to notify the weather condition based on environmental data. An ATmega32 microcontroller is used to measure temperature, gas, light intensity, and distance to obstacles using the LM35DZ, MQ-2, photocell, and infrared (IR) sensors. A utility function is proposed to calculate the weather condition according to the temperature and gas data. Afterwards, the weather condition will be monitored on a liquid crystal display (LCD), an appropriate light-emitting diode (LED) will be illuminated, and an audio alarm would be enabled when weather condition is emergency as well as ambient brightness is high. The ambient brightness is calculated by a proposed supervised machine learning using sensed data of the photocell sensor. A fuzzy decision system is proposed to adjust the speed of DC motors based on weather condition and light intensity. The robot can detect and pass stationary obstacles with the six reflective sensors installed in the left, front, and right sides under six detection scenarios. Simulation results show performance of the proposed supervised machine learning, fuzzy decision system, and obstacle detection mechanism under various simulation parameters. The robot, initially, is simulated in the Proteus simulator and, then, is implemented by electronic circuits and mechanical devices.

You can find more information about this paper via the link.

The paper entitled "FSB-System: A Detection System for Fire, Suffocation, and Burn Based on Fuzzy Decision Making, MCDM, and RGB Model in Wireless Sensor Networks"

The paper entitled "FSB-System: A Detection System for Fire, Suffocation, and Burn Based on Fuzzy Decision Making, MCDM, and RGB Model in Wireless Sensor Networks" was published by Wireless Personal Communications (Springer) on 25 March 2019. This paper proposes a detection system, called FSB-System, to predict the fire, suffocation, and burn probabilities over areas using fuzzy theory, MCDM, and an RGB model. The system uses sensing data of the temperature, smoke, and light sensors to determine appropriate, assorted decisions under different conditions. Three fuzzy controllers are suggested in FSB-System: fire fuzzy controller (namely FFC), suffocation fuzzy controller (namely SFC), and burn fuzzy controller (namely BFC). FFC determines the fire probability, SFC measures the suffocation probability, and BFC calculates the burn probability. Sensor nodes are randomly scattered over areas in a way that they form multiple clusters. Non-cluster heads (NCHs) transmit their sensing data to cluster heads (CHs). Furthermore, CHs transmit the gathered data to the native sink to report environmental conditions toward a base station (e.g., a fire department). The number of sinks is determined by a suggested MCDM controller based on network size and the number of clusters. Simulation results demonstrate that the proposed system surpasses the threshold methods in terms of remaining energy, the number of alive nodes, network lifetime, the number of wrong alerts, and financial losses. This system can be applied in various environments including forests, buildings, etc.

You can find more information about this paper via the link.

The paper "T*: A Weighted Double-heuristic Search Algorithm to Find the Shortest Path"

The paper entitled "T*: A Weighted Double-heuristic Search Algorithm to Find the Shortest Path" was published by International Journal of Computing Science and Mathematics (Inderscience Publishers) in January 30, 2019. This paper proposes a weighted double-heuristic search algorithm to find the shortest path between two points. It can be used in numerous fields such as graph theory, game theory, and network. This algorithm, called T*, uses a weighted and heuristic function as f(x) = α × t(x) + β × h1(x) + γ × h2(x). It selects the path which minimises f(x) where x is a current node on the path, t(x) is cost of the path from start to x, h1(x) is a heuristic to estimate the cost from x to the straight line passing through start and target, and h2(x) is a heuristic to estimate cost of the cheapest path from x to target. Furthermore, α, β, and γ indicate effective weights of each sub-function on f(x).

You can find more information about this paper via the link.

The paper "A Neural-MCDM-Based Routing Protocol for Packet Transmission in Mobile Ad Hoc Networks"

The paper entitled "A Neural-MCDM-Based Routing Protocol for Packet Transmission in Mobile Ad Hoc Networks" was published by International Journal of Communication Networks and Distributed Systems associated to Inderscience Publishers on 06 September 2018. This paper proposes a novel neural-MCDM-based routing protocol, called NMRouting, to transmit data packets in mobile ad hoc network (MANET). Data packets are transmitted through neighbouring nodes that have high success rates from among a list of available neighbours. A perceptron-based neural controller specifies a success rate for every neighbour based on remaining energy, occupied buffer, and mobility speed. A MCDM controller determines the number of paths based on packet priority rate, distance, and average mobility speed. An energy management model is suggested to conduct energy consumption of the nodes efficiently as well as three queue types - critical, reliability, and ordinary - are considered to guarantee network reliability. Besides, the paper presents UML diagrams to develop NMRouting in real applications. Simulation results show that the proposed protocol has a high performance in terms of packet delivery ratio, network lifetime, and network traffic, compared to DSR, AODV, DPG and QMRPRNS.

You can find more information about this paper via the link.

The paper "To Measure the Perimeter of an Ellipse Using Image Processing and Mathematical Reasoning"

The paper "To Measure the Perimeter of an Ellipse Using Image Processing and Mathematical Reasoning" was published by ARC Publications Pvt. Ltd. in International Journal of Research Studies in Computer Science and Engineering on 23 October 2017. This paper proposes a novel approach to measure the perimeter of an ellipse by using image processing and mathematical reasoning. This approach consists of two stages. In the first stage, value of a pixel is calculated via a pixel-by-pixel image processing based on the perimeter of several circles having different radii. In the second stage, the perimeter of an ellipse is defined by the pixels of various ellipses having different diameters and the value of a pixel through a mathematical reasoning. Simulation results show that P = 1.14167π (a + b) is the suggested perimeter of an ellipse according to the considered simulation scenarios.

You can find more information about this paper via the link.

The paper "Sensory Life in Sensory World"

The paper "Sensory Life in Sensory World" was published by i-manager Publications in i-manager's Journal on Wireless Communication Networks on July 2017. It describes various physical features and key usages of the popular sensors. Furthermore, three major applications of wireless sensor networks in monitoring, healthcare, and military are mentioned in the paper. Since sensor localization and data mining are two important topics in sensor networks, their categories and characteristics are addressed too. Besides, some of the existing simulators are compared to each other.

You can read information of this paper via the link.

The paper "SMIER: An SVM and MCDA Based, Intelligent Approach for Enhanced Reliability in Wireless Sensor Networks"

The paper "SMIER: An SVM and MCDA Based, Intelligent Approach for Enhanced Reliability in Wireless Sensor Networks" was published by i-manager Publications in i-manager's Journal on Communication Engineering and Systems on September 28, 2017. It proposes an SVM and MCDA based, intelligent approach for enhanced reliability in WSNs, called SMIER. It is considered for a cluster-based sensor network in a way that every Cluster-Head (CH) selects one of its Non Cluster-Head (NCH) nodes as a backup node in a period of time. Initially, the suggested SVM algorithm determines failure probability of each NCH node based on number of events and average distance to events. Afterward, the suggested MCDA controller calculates success rate of the NCH node by using three parameters, including remaining energy, distance, and failure probability. Simulation results show that the proposed approach surpasses some of the existing works in terms of packet delivery ratio, number of alive nodes, and average remaining energy.

You can find more information about this paper via the link.