2017: Volume 40, Number 1 2017: Volume 40, Number 2
N. Bayati, A. Dadkhah: Robust PID Design For The Deregulated Power System Using HSA (pp. 19-26)
I. Susnea, E. Pecheanu, A. Cocu: Technologies for Sensing and Modeling Collective Intelligence (pp. 33-38)
G. Ciubucciu, R. Solea, A. Filipescu: Machine Learning Techniques for Image Recognition Applications
Abstract: In the present paper is presented an algorithm to detect sleepiness of the driver. The purpose of this system is to locate, track and analyze face and eyes to prevent falling asleep, or the inattention of the driver working under different lighting conditions and, more importantly, in real time. Real-time processing is an absolute condition for the proper functioning of this system. The image acquisition is achieved with the help of a web camera, which is positioned on the dashboard of the car. For the face recognition task was used the support vector machine models. This is an artificial intelligence technique applied in the field of artificial vision, which is part of the supervised learning techniques.
Keywords: Image processing, Artificial Intelligence, Support vector machine, Real-time processing, Algorithm
M. Ilea, M. Turnea, D. Arotaritei, M. Rotariu: Modeling Complex Stump-Prosthesis With Graphical User Interface
Abstract: The Graphical User Interface applied in biomechanical processes modeling can be found at the interface of two fields: biology and mathematics. The stump-prosthesis is the interface between the human and technology. Discomfort at the level of the prosthetic sockets continues to be a critical challenge for both prosthesis designers and amputees. The quality and comfort of the prosthetic socket determines the daily usage time of artificial limbs. Graphical user interface analysis of the complex prosthetic socket system will likely continue in the future. In this article, we propose a solution for modelling the stump-prosthesis system, which may improve the design of the prosthesis socket, resulting in a better quality of life for the patients. The first objective of this study was to design a graphical user interface (GUI) of the stump-prosthesis system, using MATLAB. Interface was entirely developed using MATLAB 7.3.0 .The proposed (GUI) contains all the screen menus, symbols, work areas and application windows, as well as graphic devices used in the interaction with a computer, icons, buttons and dialogue boxes. The user interface was designed to allow an intuitive interactive display. The objective of this paper is, to discuss the limitations of (GUI) investigations, and to speculate on work made possible through advances in domain of stump-prosthesis and computer software. These results are important and can provide a direction for future research.
Keywords: Prosthesis, Stump, Matlab, Graphical User Interface, Statistics
N. Bayati, A. Dadkhah: Robust PID Design For The Deregulated Power System Using HSA
Abstract: The frequency load control system was modeled in the two-area restructured system. In case of a sudden load variation in one area, the system frequency undergoes a corresponding change (normally accompanied by a series of transient oscillations). Therefore, the feedback and control mechanisms must be designed in such a way that proper power generation regulation in the generators can be implemented by regulating the control signal in the turbines. Thus, in the steady state, power generation would be exactly equal to the load; and the power passing through transmission lines, frequency drift, and ACE error in the zones would be zero. A high-pass PID filter was used in the controller for damping frequency oscillations. The controller control parameters were converted into an optimization problem and the harmonic search algorithm was used to solve this problem. For obtaining an optimal and efficient design, different working points were considered. The simulation results were compared with the results obtained from genetic algorithms and particle swarm optimization (PSO) algorithms for the purpose of evaluating the efficiency of the proposed controller.
Keywords: RPID, Controller, deregulated power system, HSA, Robust
Abstract: The paper presents a new adiabatic multiplier circuit based on Complementary Energy Path Adiabatic Logic (CEPAL). The proposed multiplier consumes lesser power when compared to the conventional CMOS multiplier. The proposed adiabatic array multiplier performs 4 X 4 bit multiplication. The proposed adiabatic multiplier is also designed with leakage reduction technique the performance of which is better when compared to the CMOS multiplier. The operating speed of the complementary metal oxide semiconductor is increased. This paper presents the implementation of adiabatic CEPAL multiplier using CMOS. The measurement results of the adiabatic CMOS Multiplier demonstrate a reduction in power and reduction in energy. The operating frequency is in GHz range. These results show that the proposed circuit can be used in high speed application. The proposed adiabatic circuits are designed in HSPICE using predictive technology models (PTM) in 32nm CMOS Technology. The experimental results for the proposed adiabatic designs demonstrate their effectiveness with energy consumption and with power optimization.
Keywords: CMOS, adiabatic logic, Adder, NAND gate, shorted gate, energy efficient, power optimization
I. Susnea, E. Pecheanu, A. Cocu: Technologies for Sensing and Modeling Collective Intelligence
New technologies, such as smart mobile communication and computing devices, GPS
tracking, video surveillance, RFID, web activity logs, etc. offer unprecedented
means for automatic sensing and interpretation of a variety of aspects related
to human interactions in groups, social networks, organizations, collectivities,
or entire societies. It results that it is now possible to design technical
systems capable to harness and leverage the collective intelligence. This paper
is a brief review of the literature dedicated to this topic, aiming to identify
the main approaches used for designing such systems, and to place our own
research in this field in a larger context. Besides that, a simple agent based
simulation experiment attempts to provide an answer to the question: “Why is
Keywords: Collective intelligence, human stigmergy, wearable sensors, activity recognition, Agent based simulation
K. Satya Bhanu, N. Praveen Kumar, M.V. L. Triveni, V. Sekhara, K. Jagadeesh Babu: Design of a Fork-Shaped Patch Antenna for MIMO Applications
Abstract: A compact, fork-shaped patch antenna for tri-band applications with good bandwidth and isolation characteristics is presented in this paper. The proposed antenna resonates at the frequencies of 13.6 GHz, 15.5 GHz and 18.6 GHz respectively. A 2×2 MIMO (Multiple Input Multiple Output) system is developed using the proposed antenna giving an excellent isolation of more than 20 dB in the entire operating band. The S-Parameters, VSWR (Voltage Standing Wave Ratio), correlation coefficient and radiation pattern of the proposed antenna are presented. The proposed antenna covers most of the Ku-band (12 to 18 GHz) making it suitable for satellite applications.
Keywords: fork -shaped antenna, return loss, mutual coupling, satellite applications
Table of Contents
V. Minzu: Real-Time Optimal Control Using Particle Swarm Optimization (pp. 5-12)
Abstract Full text
D. Aiordachioaie: Evaluation of Two Algorithms for Change Detection Based on Vibration Signals Processing (pp. 13-18)
Abstract Full text
Sanchi, H. Monga, S. Soni: AODV Based Backup Node Mechanism with QOS Enable Routing in Mobile Ad-Hoc Networks (pp. 19-22)
Abstract Full text
G. M. Timis, N. Gafencu: Remote-Controlled Gesture Based Robotic Arm (pp. 23-29)
Abstract Full text
V. Minzu: Optimal Control Using Evolutionary Algorithms (pp. 30-36)
Abstract Full text
G. M. Timis, E. Sandu: Smart Home Prototype Remotely Controlled Through Internet (pp. 37-43)
Abstract Full text
V. Minzu: Real-Time Optimal Control Using Particle Swarm Optimization
Abstract: Optimal Control Problems can be solved by a well known metaheuristic, Particle Swarm Optimization. A version of this metaheuristic has been used to develop an algorithm that solves such a problem. The solution can be used to control the considered dynamic system only in open loop. Therefore, the main problem is how to use the PSO algorithm in a control structure that works in closed loop. The solution of this problem is to use the well known control structure Model Predictive Control whose controller has an optimization algorithm that minimizes the prediction error. The proposal of this work is to confer this role to the PSO based algorithm because it would minimize implicitly the prediction error.
Keywords— optimal control, hybrid topology particle swarm optimization, Model Predictive Control
D. Aiordachioaie: Evaluation of Two Algorithms for Change Detection Based on Vibration Signals Processing
Abstract: Change detection and diagnosis are important activities and research directions, in the field of system engineering and conditional maintenance of the equipment and industrial processes. The processed signals are coming from vibration generated by incipient faults in mechanical structures, e.g. bearings. Classical algorithms based on various version of CUSUM do not have enough performances to use intensively in real industrial application. The present work considers two new algorithms for change detection working on real industrial data of radial bearings. One is based on classical CUSUM criterion applied to the Renyi entropy. The second one is based on energy processing distributed over time-frequency region. The algorithms are tested on real recorded data. The results indicate good behavior and performance of the proposed algorithms, and define the rationale to implement them in commercial software product for change detection and diagnosis.
Keywords: signal processing, change detection, fault detection, Renyi entropy, vibration, time-frequency transform.
Sanchi, H. Monga, S. Soni: AODV Based Backup Node Mechanism with QOS Enable Routing in Mobile Ad-Hoc Networks
Keywords: MANET, on-demand routing protocol, Backup Routes, Throughput, Packet Loss, Quality of service (QOS).
G. M. Timis, N. Gafencu: Remote-Controlled Gesture Based Robotic Arm
Abstract: The project aims to implement the functionality of a robotic arm able to be guided through a web page, with the purpose to move an object from point A to point B. Also, the robotic arm can work in an automated way, in which the initialization phase is executed.
Keywords: Robotic Arm, Rapsberry PI, Mbed, FRDM KL25Z, Human Hand Robotic Emulation, Hall Sensors, Android
V. Minzu: Optimal Control Using Evolutionary Algorithms
Abstract: Optimal Control Problems involve dynamic systems that are subject to algebraic or differential constraints and whose evolution may be characterized by a performance index. Such a problem can be solved by the well known Evolutionary Algorithms. This paper proposes an evolutionary algorithm having usual characteristics concerning the mutation and crossover operators. Generally speaking, the EA gave good results and the convergence was acceptable. But for a specific problem instance, the evolutionary algorithm underperformed on the first simulation series. Therefore, the paper proposes a new mutation operator having adaptive Gaussian standard deviation of genes' values variation.
Keywords— optimal control, Evolutionary Algorithm, mutation, adaptive Gaussian standard deviation
G. M. Timis, E. Sandu: Smart Home Prototype Remotely Controlled Through Internet
Abstract: The project aims to implement and use of an autonomous smart home prototype system, to remotely monitor the important parameters like temperature, atmospheric pressure, gas leaks, or burglary.
Keywords: Smart home, Raspberry PI, Arduino 2560, Arduino Software IDE, Internet of things, Lighting system control, Home automation