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 "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 "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..

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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.

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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).

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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.

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