bluuebunny/crossref_metadata_2025 huggingface dataset:
Fuzzy-Set Based Privacy Preserving Access Control Techniques in Cloud (FB-PPAC)
Authors: Kumari Sushmita , S Sudha , K Brindha
Published: April 2019

The word “Cloud” refers to network or internet. It is present at.remote location. Cloud computing is a latest mechanism used now-a-days for accessing, manipulating and configuring applications online via internet.
 It allows users for online data storage, various applications and infrastructure. There are few downsides of cloud computing like in public cloud sharing of data, selected data shared with users of various level without confidentiality and privacy of data. Different methods were used to fix this problem like encryption of attribute; encryption of access control but they have their own problems related to big computation for accquiring access structure, invoking and behavior management. So for removing these weakness, the combination of fuzzy-set theory and RSA algorithm has been introduced. Fuzzy-set is used for clustering the data based on their points. Further for privacy, I have included RSA for encryption and decryption of data which is used to store in cloud database. The analysis of my experiment shows the system is efficient, flexible and provides confidentiality of the data.
Identifying Risk Factors of Diabetes using Fuzzy Inference System
Authors: Abdullah Lazim
Published: April 2019

Identification of the real risk factors of diabetes is still very much inconclusive. In this paper, fuzzy rules based system was devised to identify risk factors of diabetes. The system consists of five input variables: Body Mass Index, age, blood pressure, Creatinine, and serum cholesterol and one output variable: level of risk. Three Gaussian membership functions for linguistic terms are defined for each input variable. The level of risk is defined using three triangular membership functions to represent output variable. Based on the information from patients’ clinical audit reports, the system was used to classify the level of risk of fifty patients that currently undergoing regular diagnosis for diabetes treatment. The system successfully classified the risk into three levels of Low, Medium and High where three main contributing factors toward developing diabetes were identified.
 The three risk factors are age, blood pressure and serum cholesterol.
 The multi-input system that characterised by IF-THEN fuzzy rules provide easily interpretable result for identifying predictors of diabetes. Research to establish reproducibility and validity of the findings are left for future works.
Performance Analysis of ANN Model for Estimation of Trophic Status Index of Lakes
Authors: Anthwal Tushar , Chandola Akanksha , Thapliyal M P
Published: April 2019

The health of water bodies across the globe is of high concern as the pollution is accelerating rigorously. With the interventions of simple technology, some significant changes could be bought up. Lakes are dying because of high Trophic Index Status which shows the eutrophication level of water bodies. Taking this into account, feed forward back propagation neural network model is used to estimate the Trophic Status Index (TSI) of lakes which could compute the value of TSI with the given parameters; pH, temperature, dissolved oxygen, Secchi disk transparency, chlorophyll and total phosphate. Two learning algorithms; Levenberg Marquardt (LM) and Broyden–Fletcher–Goldfarb–Shanno (BFGS) Quasi Newton were used to train the network, which belongs to different classes. The results were analyzed using mean square error function and further checked for the deviation from actual data. Among both the training algorithm; LM demonstrated better performance with 0.0007 average mean square error for best validation performance and BFGS Quasi Newton shows the average mean square error of 1.07.
Artificial Neural Network for Healthy Chicken Meat Identification
Authors: Yumono Fajar , Subroto Imam Much Ibnu , Prasetyowati Sri Arttini Dwi
Published: April 2019

Indonesia is the country with the largest number of Muslims in the world. Every Muslim is taught to consume thoyyiban halal meat or healthy chicken because it is slaughtered in the right way and stored in a good way too. But the reality in the market of many chicken meat on the market can not meet that criteria. Identification of healthy chicken meat can be done with laboratory experiments, but that is not simple and takes time. This experiment offers a cheaper, faster approach, with very high accuracy. The experimental approach is based on color and texture analysis on 5 types of meat quality based on healthy value. Color analysis was performed using artificail neural network (ANN) while texture analysis used Canny edge detection. Experimental results show that the color histogram approach with ANN is better than the texture approach, ie 94% versus 66%. It can be concluded that the freshness of a chicken does not have much effect on the texture of the meat but it has an effect on the color change in the meat.
Evolutionary Computational Algorithm by Blending of PPCA and EP-Enhanced Supervised Classifier for Microarray Gene Expression Data
Authors: Pradhan Manaswini
Published: April 2019

In DNA microarray technology, gene classification is considered to be difficult because the attributes of the data, are characterized by high dimensionality and small sample size. Classification of tissue samples in such high dimensional problems is a complicated task. Furthermore, there is a high redundancy in microarray data and several genes comprise inappropriate information for accurate classification of diseases or phenotypes. Consequently, an efficient classification technique is necessary to retrieve the gene information from the microarray experimental data. In this paper, a classification technique is proposed that classifies the microarray gene expression data well. In the proposed technique, the dimensionality of the gene expression dataset is reduced by Probabilistic PCA. Then, an Artificial Neural Network (ANN) is selected as the supervised classifier and it is enhanced using Evolutionary programming (EP) technique. The enhancement of the classifier is accomplished by optimizing the dimension of the ANN. The enhanced classifier is trained using the Back Propagation (BP) algorithm and so the BP error gets minimized. The well-trained ANN has the capacity of classifying the gene expression data to the associated classes. The proposed technique is evaluated by classification performance over the cancer classes, Acute myeloid leukemia (AML) and Acute Lymphoblastic Leukemia (ALL). The classification performance of the enhanced ANN classifier is compared over the existing ANN classifier and SVM classifier.
Design Process to Reduce Production Cycle Time in Product Development
Authors: Mallampati Mahesh , Srivinivas Kolla , Krishna. M Tirumala
Published: April 2019

In today’s business climate, the old adage “time is money” has been expanded to mean that time is competitive weapon. Today customer’s demands are quick delivery and good quality at reasonable price. When entering the global market the companies encounter several difficulties, the most important one being excessive time for new product development. Thus to perform in a global market, short lead times are essential to provide customer satisfaction. Lead time in manufacturer point of view is the time elapse between placing of an order and the receipt of goods ordered. There are various components of lead time such as setup time, process time, move time and waiting time. This paper deals with review of various tools and techniques to reduce lead time. This problem can be solved by transition from sequential engineering to concurrent engineering, A survey of published works in the field of designing teams in big companies has revealed that in big companies a three-level team structure is recommended, as well as a workgroup, consisting of four basic teams. Method study techniques use to examine current way of work and develop effective method base on elimination, combining, changing and simplification of activities. Various lean tools such as Single Minute Exchange of Dies (SMED), 5S, Poka-yoke, Kanban, Just-in-time (JIT), Value Stream Mapping (VSM), Jidoka, Cellular manufacturing etc. helps in reducing lead time. Also Manufacturing Resource Planning (MRPII), Theory of Constraints (TOC) classic approaches of Production Planning and Control (PPC) are use to reduce Work in Process (WIP) and flow time.
Application of Multi Layer Artificial Neural Network in the Diagnosis System: A Systematic Review
Authors: Rawat Arvind Singh , Rana Arti , Kumar Adesh , Bagwari Ashish
Published: April 2019

Basic hardware comprehension of an artificial neural network (ANN), to a major scale depends on the proficientrealization of a distinctneuron. For hardware execution of NNs, mostly FPGA-designed reconfigurable computing systems are favorable .FPGA comprehension of ANNs through a hugeamount of neurons is mainlyan exigentassignment. This workconverses the reviews on various research articles of neural networks whose concernsfocused in execution of more than one input neuron and multilayer with or without linearity property by using FPGA. An execution technique through reserve substitution isprojected to adjust signed decimal facts. A detailed review of many research papers have been done for the
 proposed work.
Cat Swarm Optimization to Shunt Capacitor Allocation in Algerian Radial Distribution Power System
Authors: Hamzi Amar , Meziane Rachide
Published: April 2019

This paper presents a Cat Swarm Optimization (CSO) Algorithm optimization method to shunt capacitor placement on distribution systems under capacitor switching constraints. The optimum capacitor allocation solution is found for the system of feeders fed through their transformer and not for any individual feeder. The main advantages due to capacitor installation, such as capacity release and reduction of overall power and energy losses are considered. The capacitor allocation constraints due to capacitor-switching transients are taken into account. These constraints are extremely important if pole-mounted capacitors are used together with station capacitor bank. Cat Swarm search algorithm is used as an optimization tool. An illustrative example for Algerian example is presented.
M-ITRS: Mathematical Model for Identification of Tandem Repeats in DNA Sequence
Authors: Kumar Ajay , Garhwal Sunita
Published: April 2019

In DNA, tandem repeat consists of two or more contiguous copies of a pattern of nucleotides. Tandem repeats of the motif are useful in many applications like molecular biology (related to genetic information of inherited diseases), forensic medicines, DNA fingerprinting and molecular markers for cancer. Various researchers designed formal models and grammars to identify two contiguous copies of the pattern. Tree-adjoining grammar cannot be designed for k-copy language. There is a need to design a formal model which will work for more than two contiguous copies of the pattern. In this paper, we have designed deep pushdown automata for k-continuous copies of the pattern for

<o:OLEObject Type="Embed" ProgID="Equation.DSMT4" ShapeID="_x0000_i1025"

DrawAspect="Content" ObjectID="_1593603612">

. The proposed formal model will also identify the tandem repeats without specifying the pattern and its size.
Comparison of Neural Network Training Algorithms for Classification of Heart Diseases
Authors: Karim Hesam , R. Niakan Sharareh , Safdari Reza
Published: April 2019

Heart disease is the first cause of death in different countries. Artificial neural network (ANN) technique can be used to predict or classification patients getting a heart disease. There are different training algorithms for ANN. We compared eight neural network training algorithms for classification of heart disease data from UCI repository containing 303 samples. Performance measures of each algorithm containing the speed of training, the number of epochs, accuracy, and mean square error (MSE) were obtained and analyzed. Our results showed that training time for gradient descent algorithms was longer than other training algorithms (8-10 seconds). In contrast, Quasi-Newton algorithms were faster than others (<=0 second). MSE for all algorithms was between 0.117 and 0.228. While there was a significant association between training algorithms and training time (p<0.05), the number of neurons in hidden layer had not any significant effect on the MSE and/or accuracy of the models (p>0.05). Based on our findings, for development an ANN classification model for heart diseases, it is best to use Quasi-Newton training algorithms because of the best speed and accuracy.
Power System Performance Improvement by Optimal Placement and Sizing of SVC using Genetic Algorithm
Authors: Duraisamy Prasanth , Ponnusamy Arul
Published: April 2019

The power system loss minimization becomes more important as the need of power generation is more recent days. The loss minimization improves the voltage profile which improves the loadability of the system. In many types of flexible AC transmission system (FACTS) devices static var compensators (SVC) are cost vise it is affordable and it improves the system performance with lesser size. Here SVC is optimally placed in a test system of 30 bus system. Genetic algorithm is used to find the optimal results.
Hybrid System Power Generation'wind-photovoltaic' Connected to the Electrical Network 220 kV
Authors: Dris Mida , Djilani Benattous
Published: April 2019

Renewable energy have the potential to generate electricity cleanly without pollution and a lesser dependence of resources for this production of electric power by these systems sources such as solar, wind, hydro, geothermal and biomass instead anti-environmental conventional systems such as gas, coal and oil is a remarkable idea but not frequent in Algeria. Our research focuses on the study of a hybrid energy system (Photovoltaic-Wind), connected to the Electrical Network 220 kV and this by tracking the maximum power point (MPPT) for two energy sources. For this, methods based on optimization algorithms were used side PV array and Wind turbine. With regard to the wind turbine, optimization was based on an analytical approach method. The Matlab/Simulink  is used for simulated power output from Hybrid System, power delivered to or from grid and phase voltage of the inverter leg
A Fault Detection Technique for Series-compensated Lines by TCSC during Power Swing
Authors: Rezaei Saeed , Khederzadeh Mojtaba , Gandomkar Majid
Published: April 2019

The performance of a distance relay is very susceptible to power swing. In order to avoid generating unwanted trip in such condition, a power swing block function (PSB) is used in distance relays. However, if a fault occurs in power swing condition, the relay should distinguish the fault from power swing and generate trip rapidly. Detection a fault in a series-compensated line by Series Capacitor (SC) during the power swing is more complicated than in an uncompensated line due to complex transients generated by series capacitor and the Metal–Oxide Varistor (MOV) operation. In a series-compensated line by TCSC, it is further complicated due to nonlinear variation of compensation level during power swing and fault, moreover, non-unique application mode of TCSC for different faults which is dependent on fault current. This paper examines a method based on negative sequence current to detecting all types of fault during power swing in a series-compensated line by TCSC. The method is tested for different TCSC-compensated power systems include SMIB and 9-bus 3-machine systems. Different types of faults, i.e., symmetrical, asymmetrical and high resistance faults occurring during a power swing are simulated by MATLAB/SIMULINK to examine the algorithm.
Electrostatic Field Calculations for Liquid Nitrogen Gaps Assuming a Decisive Field Factor
Authors: Fink Stefan
Published: April 2019

Volume effect on breakdown voltage is well known in high voltage engineering. The breakdown voltage behavior of liquid nitrogen depending on a high field volume had been quantitatively described for gap lengths up to 20 mm. Breakdown curves for longer gap lengths up to 96 mm derived from measurements with a facility “Fatelini 2” show oscillations and partly low withstand voltages. Electrostatic field calculation for such long gaps shows remarkable high field volume differences between a model for ideal sphere and models including fixation rods. Calculation for the used setup does not show monotonically increasing high field volume depending on gap length but a maximum around 60 mm which can explain the special breakdown behavior in a “mid range” gap length. Further high field calculations were done for not yet used setups in order to make considerations, e.g. for the influence of cryostat material or diameter.
Solar Energy System Based Impedance-Source Inverter for Grid Connected System
Authors: Kamalakkannan S , Kirubakaran D.
Published: April 2019

In this work, the fickleness of solar energy can be overcome by using Maximum Power Point Tracking algorithm (MPPT). Perturb and Observation (P&O) MPPT algorithm accomplish fast the maximum power point for rapid change of environmental conditions such as irradiance intensity and temperature. The MPPT algorithm applied to solar system keep the boost converter output constant. Output from boost converter is taken to three phase impedance-source inverter with RL load and grid system. Impedance-source inverter performs the transformation of variable DC output of the solar system in to near sinusoidal AC output. This near sinusoidal AC output consecutively is served to the RL load first and then to grid system. The simulation is carried out in matlab/simulink platform both for RL load and grid system and the simulation results are experimentally validated for RL load arrangement only.
Analysis of Six-Phase Interior Permanent Magnet Synchronous Machines for Optimal Parameter Considerations
Authors: Dey Tanmoy , Chowdhury Amit Kumar , Alam Sk Mehboob , Mondal Surajit
Published: April 2019

Understanding the merits of six-phase interior permanent magnet synchronous machines (IP-MSMs) over their three-phase counterparts, this paper analyses the six-phase machine for optimal parameter and performance considerations. Initially, a mathematical model of the six-phase IPMSM is developed employing the dq-axis theory and performance predicted by the model is verified under identical operating conditions with those using a machine designed and tested through finite element analysis (FEA). The developed and verified machine model is then employed to exclusively derive the relation between various machine parameters in order to obtain optimum flux weakening region in the six-phase IPMSM. Thereafter, the equations derived on the basis of maximum torque per ampere (MTPA) control theory are analyzed to understand the effect of various parameters and variables in influencing the machine’s performance in the ‘constant torque’ region and ‘constant power’ region, power output capability, a ratio of reluctance torque to magnet-assisted torque with changes in the stator current vector etc. This is the contribution of this paper.
An Enhanced Control Strategy for the Stable Operation of Distributed Generation during Grid-Connected and Islanded Mode
Authors: Khichar Suman , Gopal Yatindra , Lalwani Mahendra
Published: April 2019

The incident of islanding occurs while the distributed generator fed constant power into the grid after power flow on the source of essential utility has been intermittent. If islanding is not rapidly detected, it can reason serious security and harmful condition.  This paper presents coordinated manage of solar photovoltaic unit through maximum power point tracking technique to make available voltage and frequency support for an islanding condition. In normal condition, structure works as constant current control mode subsequent to islanding the structure switched to voltage control mode. The projected technique is capable to discriminate involving an islanding and a non-islanding occurrence. In this paper phase locked loop detection technique designed for detecting islanding situation is conceded out. The authentication of proposed system is established efficiently using MATLAB/ Simulink environment. The simulated results exhibit that the islanding detection technique has zero nondetection zone property and be able to detect islanding within few seconds
Descending Viewer Method for Fault Tolerant Control
Authors: Lenin K.
Published: April 2019

In this paper Descending Viewer Method (DVM) projected for finding and fault tolerant control of stator inter-turn short circuit faults in doubly-fed induction generators based in wind turbine. A process has been developed that allows the way from ostensible controllers designed for strong condition, to vigorous controllers designed for defective condition. Finally value of the rotor resistance estimated & is based on the use of the error between real and probable value of doubly fed induction generator (DFIG) in faulty condition, this will perk up the performance of this viewer. Simulation results show the reliability of the proposed Descending Viewer Method (DVM) approach.
Seven Level Inverter Fault Mitigation Using Redundant Cell for Induction Motor Drive
Authors: Kiran B. Madhu , Sanker Ram B. V.
Published: April 2019

Fault identification is as much important as prior knowledge to mitigate the faults that might occur in inverter driven induction motor drives. In this paper, seven-level multi level inverter was taken up for testing of mitigation using redundant cell and the results were compared with five-level inverter to exhibit the performance of mitigation policy. This paper presents analysis of inverter feeding an induction motor drive when switch open and short fault occurs. When the fault occurs, the redundant cell activates and thus the drive system operates. In this paper, the function for redundant cell was explained with the results of drive system simulated in Matlab/Simulink.
Morphology and magnetic properties of lanthanum (La3+) substituted manganese, chromium nano ferrites
Authors: Abdulameer Abbas Hayder , Ali Adnan Hussein , Hasan Ban Mohammad
Published: April 2019

Several studies have been carried out to investigate the effect of Lanthanum (La3+) ion substitution on the structural and magnetic properties of manganese-chromium (Mn-Cr) ferrite of chemical formula Mn LaxCr Fe2O4(x=0.0, 0.25 and 0.5). Such studies have made efforts to improve the magnetic and structural properties of manganese-chromium (Mn-Cr) ferrite by using lanthanum substituted nano ferrites and then synthesized using the sol-gel method and annealed at a temperature of 700oC. The changes that occurred in the structure of the nano ferrites as a result of lanthanum substitution were identified using X-ray diffraction (XRD). Based on Debye-Scherrer equation, the XRD data were used in measuring the particle sizes of different diffraction and average crystallite size by means of Fourier Transform infrared spectroscopy (FTIR). In analyzing the morphology of the nano ferrites, scanning electron microscopy (SEM) was used, elemental compassion was studied using energy dispersive X-ray spectroscopy (EDAX), and the average particle diameter was determined using Transmission electron microscopy (TEM) studies. FTIR spectral analysis of the prepared samples under investigations revealed the formation of a single phase spherical particles. Two important absorption bands were observed; one (ν1) around 556 cm-1, which is attributed to the intrinsic vibrations of tetrahedral complexes, while the other low frequency band (ν2) was around 430 cm-1, and attributed to octahedral complexes.
Current mode proportional resonant controlled multi input–SEPIC-re-boost-system
Authors: Kumar B. Jagadish , Banakara Basavaraja
Published: April 2019

The intention of this paper is to identify a suitable controller for closed loop multi converter system for multiple input sources and to improve time response of high-gain-step up-converter. Closed-loop Multi Converter System (MCS) is utilized to regulate load-voltage.  This effort recommends suitable-controller for closed-two loop-controlled-SEPIC-REBOOST Converter fed DC motor. The estimation of the yield in open-two loop and closed- two-loop-circuit has been done using MATLAB or Simulink. Closed-two loop-control of Multi Converter System with Propotional+Integral (PI)- Propotional+Integral (PI) and Proportional+Resonant (PR) - Proportional+Resonant (PR) Controllers are investigated and their responses are evaluated in conditions of rise time, peak time, settling time and steady state error. It is seen that current-mode PR-PR controlled MCS gives better time domain response in terms of motor speed. A Prototype of MCS has been fabricated in the laboratory and the experimental-results are authenticated with the simulation-results.
Optimal PID controller of a brushless dc motor using genetic algorithm
Authors: Ibrahim Muhammed A. , Mahmood Ausama Kh. , Sultan Nashwan Saleh
Published: April 2019

Brushless DC (BLDC) motor is commonly employed for many industrial applications due to their high torque and efficiency. This article produces an optimal designed controller of Brushless DC motor speed control depending on the genetic algorithm (GA). The optimization method is used for searching of the ideal Proportional–Integral-Derivative (PID) factors. The controller design methods of brushless DC motor includes three kinds: trial and error PID design, auto-tuning PID design and genetic algorithm based controller design. A PID controller is utilizing by conducted Integral absolute error criterion (IAE) and integral squared error (ISE) error criterion for BLDC motor control system. A GA-PID controller is designed to enhance the system performance by means of genetic algorithm. PID controller coefficients are calculated by GA to produce optimal PID as  hybrid PID with GA controller .The closed loop speed response of PID controller is experimented  for IAE and ISE error criteria. The suggested controller GA_PID is planned, modeled and simulated by MATLAB/ software program. A comparison output system performance monitored for every controller schemes. The results display that the time characteristics performance of GA-PID controller based on ISE objective function has the optimal performance (rise time, settling time, percentage overshoot) with other techniques.
Analysis the effect of reflector (flat mirror, convex mirror, and concave mirror) on solar panel
Authors: Siahaan Yahot , Siswono Hartono
Published: April 2019

At the time of the sun a straight line with solar cells may not necessarily produce the maximum output. Various ways continue to be done in order to get the maximum output. The maximum utilization of output from solar cells will accelerate the function of the solar cell. The use of reflectors is an excellent way to maximum output with effective time. The author will analyze solar cells with flat mirror, convex mirror, concave mirror, and without reflector. Each reflector is given varying treatment by calibrating the angle of the reflector to the solar cell by 60o, 90o, and 120o. After testing and data retrieval turns reflector very influential on the output of solar cells. The solar cell output power increases with each different reflector. Maximum output is obtained in a concave mirror with an angle is 90o.
Energy and exergy efficiency of water-based photovoltaic thermal (PVT) systems: an overview
Authors: Rukman Nurul Shahirah Binti , Fudholi Ahmad , Taslim Ivan , Indrianti Merita Ayu , Manyoe Intan Noviantari , Lestari Uce , Sopian Kamaruzzaman
Published: April 2019

Conventional fuels are not free, scarce and expensive, and its future cost and availability are uncertain. Hence, the usage of solar energy in applications will probably increase and further become economically feasible in the near future. Solar energy is free, clean, and renewable and has been widely used in electricity generation and thermal energy via photovoltaic thermal (PVT) system. PVT is a hybrid system consists of a PV panel and a solar collector in a single unit to simultaneously produce electricity and thermal energy. In this review, energy and exergy efficiency for water-based PVT systems is presented. As conclusion, the study on exergy is still limited and is recommended to be furthered in order to obtained useful energy generation by the system.
Material Handling and Assembly Process Optimization using Value Stream Mapping
Authors: Derrell Forest Daniel , Massiha G.H.
Published: April 2019

The purpose of this project is to evaluate and optimize an assembly process for ergonomic and productivity considerations. Companies use lean manufacturing as a method for continuous improvement in order to increase throughput and for to reallocate resources for more important tasks. For this project, value stream mapping (VSM) was used to evaluate, analyze, and improve the ergonomic factors of an assembly process and to increasing throughput. With the use of VSM, researchers are able to see the areas of added value, non-added value, and bottlenecks. This project illustrates the implementation of VSM for the minimization of waste, by using the design method to restructure the process of assembly. The results show drastic improvement in assembly time and ergonomic workplace design, while providing a platform for a continuous improvement system.
Delta Parallel Robot Based on Crank-Slider Mechanism
Authors: Qin Zhe , Liu Xiao-Chu , Zhao Zhuan
Published: April 2019

A three-degree-of-freedom Delta parallel manipulator driven by a crank-slider mechanism is proposed. In Cartesian space, a gate-shaped curve is taken as the path of the pick-and-place operation, combining with the inverse kinematics theory of the Delta robot, and a mathematical model of robot statia force transmission is established. The force and the output torque of the robot-driven joint are taken as the main performance indexes, and the value of the crank-slider mechanism applied to Delta robot is further measured. The simulation results show that the delta robot driven by the crank slider mechanism can reduce the force and output torque of the driving joint during the picking and discharging operation, and has good practical application value.
A Method of Extended Jacobian and Firefly Algorithm for the Kinematic Analysis of Planar Robots
Authors: Prathab T. Raja , Mani Malar R. Suja , Ahilan T.
Published: April 2019

Planar robots are one of the optimal robot form impacted in typical Cartesian plane. It consists of fixed divisions and connectors positioned in series which offers like working of human arm. The one end of robot arm position is fixed and the other arm of the robot move through the Cartesian plane by modifying the framework of arm joints. The kinematic analysis on planar robot includes position, velocity and acceleration are validated not by considering the force which cause motion to robot. The manipulator with lack of design and fault tolerant operation is analytical for application in remote and threat environment where periodic maintenance and improvements are not available. The most advanced architecture and operational flexibility of robots offer new probability and advancement in a large scale of fabrication process. This paper proposes inverse kinematic analysis of PUMA 560 robotic arm to conclude long range of fault tolerance. The proposed work incorporates Jacobian and Firefly algorithm are generally useful for determining inverse kinematics for redundant robots.
A Guided Ant Colony Optimization Algorithm for Conflict-free Routing Scheduling of AGVs Considering Waiting Time
Authors: Junjun Li , Bowei Xu , Yongsheng YANG , Huafeng Wu
Published: April 2019

Efficient conflict-free routing scheduling of automated guided vehicles (AGVs) in automated logistic systems can improve delivery time, prevent delays, and decrease handling cost. Once potential conflicts present themselves on their road ahead, AGVs may wait for a while until the potential conflicts disappear besides altering their routes. Therefore, AGV conflict-free routing scheduling involves making routing and waiting time decisions simultaneously. This work constructs a conflict-free routing scheduling model for AGVs with consideration of waiting time. The process of the model is based on calculation of the travel time and conflict analysis at the links and nodes. A guided ant colony optimization (GACO) algorithm, in which ants are guided to avoid conflicts by adding a guidance factor to the state transition rule, is developed to solve the model. Simulations are conducted to validate the effectiveness of the model and the solution method.
Networked Service Robots Control and Synchronization with Surveillance System Assistance
Authors: Kim Doug
Published: April 2019

This paper proposes an efficient navigation control and synchronization mechanism of multiple networked robots for operation in large confined areas. An adaptable grid based navigation and control strategy is adopted to eliminate potential collisions among robots. Unexpected obstacles are handled and the speed of individual robot is maintained using the node-ordering technique. The proposed navigation control and synchronization mechanism is scalable and can be easily extended for multi-cell large environment. The obstacles information is gathered through local information by the robots for better planning of the navigation. The system collaborates with the existing surveillance systems in case of additional visual information is necessary. The interaction with the surveillance system is minimized to reduce potential overhead. The proposed methodology is evaluated for a large-scale simulation with multiple robots.
An Active Virtual Impedance Control Algorithm for Collision Free Navigation of a Mobile a Robot
Authors: Kim Jinho , Lee Jangmyung
Published: April 2019

<span style="color: black; font-family: 'Times New Roman','serif'; font-size: 9pt; mso-fareast-font-family: '맑은 고딕'; mso-bidi-font-style: italic; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">An modified active virtual impedance control has been proposed for collision free navigation of a mobile robot to avoid front obstacles dynamically while a mobile robot is following a sound source. A mobile robot is controlled to follow a sound source with a velocity which is determined by virtual repulsive and attraction forces to avoid obstacles and to follow the sound source, respectively. To generate the virtual repulsive and attraction forces, a new modified virtual impedance is defined as a function of the distances and relative velocities to the sound source and obstacles from the mobile robot. In the conventional virtual impedance method, fixed coefficients have been used for the virtual impedance control. In this research, the coefficients are dynamically adjusted to elaborate the obstacle avoidance performance in various situations such as the multiple moving obstacles environment. A microphone array consisting of three microphones in a row has been attached on the mobile robot to detect the relative distance and velocity to the obstacles. The relative position and orientation of the sound source against the mobile robot has been estimated using the geometrical relationship of the microphones. As an application, the mobile robot can be used as a pet robot following the master with a sound source. The effectiveness of the proposed algorithm has been demonstrated through real experiments.
Autonomous Vehicle Control System as a Mobile Robot by Artificial Neural Network
Authors: Haque Nazmul , Riaz Md Hasnat
Published: April 2019

In this paper we have presented the artificial neural network controlled car in mobile robotics and intelligent car systems. The motion control architecture of the robot is presented with an importance on the support and directing units. This uses neural network methods and the values fundamental its design is drawn. A robust neural control system using a model of the process is also developed.
A Discrete Delay N-decomposition Approach for Delay-Dependent Stability of Generator Excitation Control System with Constant Communication Delays
Authors: Manikandan S. , Kokil Priyanka
Published: April 2019

This paper deals with problem of delay in stability analysis of network controlled generator excitation system. Delays exist in communication channel in network based control between system and controller. A discrete delay N-decomposition is used to compute delay margin for generator excitation system with constant delay which is easier when compared to analytical method. A Lyapunov krasovskii function is constructed for given time delay generator excitation system and linear matrix inequalities techniques are used. Generator excitation system is employed with proportional integral controller, delay margin calculated for various values of gain of proportional integral controller. Theoretically obtained results are verified using simulation studies.
Efficacy of GWO Optimized PI and Lead-lag Controller for Design of UPFC based Supplementary Damping Controller
Authors: Nahak Narayan , Mallick Ranjan Kumar
Published: April 2019

On line tuning of FACTS based damping controller is a vital decisive task in power system. In this regard two things need to be addressed, one is selection of a proper controller and another one is selection of a powerful optimization technique. In this work Grey Wolf Optimizer (GWO) technique is proposed to tune parameters of PI and lead lag controller based on UPFC to damp intra plant and inter area electromechanical oscillations with single and multi machine power system. A broad comparison has been performed with eigen value analysis between optimized PI and lead lag damping controller subject to different disturbances in power system. The recently revealed GWO, standard PSO and DE techniques are explicitly employed to tune UPFC based PI and lead-lag controller parameters. The system response predicts that performance of GWO is much better than PSO and DE techniques, and also lead lag controller is a better choice than PI controller pertaining to design of UPFC based damping controller.
On the Design of a 4 Degrees-of-freedom Pick and Place Cable Suspended Parallel Manipulator
Authors: J. Castillo-Garcia F. , Rea P. , Gonzalez-Rodriguez A. , Ottaviano E.
Published: April 2019

This paper proposes the design and control strategy for a four degrees-of-freedom spatial cable-suspended parallel robot for pick and place operations. Pick and place is a repetitive task requiring payload changes for the movement to pick-up the object, and the movement to the nal pose to release the manipulated object. In this paper, a new robust control strategy has been proposed, together with proper trajectories for the required operation. The control strategy consists on the system decoupling and linearization by means of a feedforward term and a cascade PD controller. The main advantage of the proposed solution is that its design can be scalable in size spanning from centimeters to meters with a relatively good positioning accuracy. Finally, simulations are reported to show the overall performances of the proposed con guration for pick and place operations with a medium size manipulator.
An Intelligent Controller Design Approach for MIMO Coupled Tank System
Authors: Hafiz Jali Mohd , Firdaus Azhar Ahmad , Ghazali Rozaimi , Chee Soon Chong
Published: April 2019

Nowadays, versatilities of controllers have been developed to control the Coupled Tank System (CTS) such as proportional, integral, derivative (PID), fuzzy, fuzzy PID and neuro network. This paper focused on the control of the pump flow rate, in and out of the tank against the cross-sectional area of the CTS’s tank. The main objective of this paper is to design a CTS by using MATLAB since the Fuzzy Logic Controller (FLC) is widely utilized in the control of engineering applications in the industrial. Therefore, the FLC will be utilized to control and improve the performance of the CTS. The conventional PID controller will be applied, which reacts as a benchmark in the performance of the FLC. Parameters such as steady state error, settling time, and maximum overshoot will be part of the simulation results. As a result of the dynamic response executed in the closed-loop environment, it can be concluded that the FLC is capable of performing better than the conventional PID controller.
Neural Network Based MPPT Controller for Solar PV Connected Induction Motor
Authors: Shanthi T.
Published: April 2019

In this paper, Maximum Power Point Tracking Controller is designed based on Neural Network Controller (NNC). This controller will sense the speed of a single phase induction motor which is fed from solar panel. Maximum power point tracking (MPPT) algorithm are required in all photovoltaic (PV) system and in order to increase the efficiency of the system, Incremental Conductance algorithm which is an effective algorithm is used to extract maximum power from the solar panel which supplies an Induction motor of 1HP. To step up the voltage available from the solar panel, the SEPIC dc – dc converter is used. The main advantage of the converter is having non-inverted output. The converter acts as an interface between PV array and motor load. The entire system is modeled and simulated using MATLAB/Simulink  software.
Exponential Reaching Law and Sensorless DTC IM Control with Neural Network Online Parameters Estimation based on MRAS
Authors: Said Legrioui , Salah Eddine Rezgui , Hocine Benalla
Published: April 2019

The most important problem in the control of induction machine (IM) is the change of its parameters, especially the stator resistance and rotor-time constant. The objective of this paper is to implement a new strategy in sensorless direct torque control (DTC) of an IM drive. The rotor flux based model reference adaptive system (MRAS) is used to estimate conjointly the rotor speed, the stator resistance and the inverse rotor time constant, the process of the estimation is performed on-line by a new MRAS-based artificial neural network (ANN) technique. Furthermore, the drive is complemented with a new exponential reaching law (ERL), based on the sliding mode control (SMC) to significantly improve the performances of the system control compared to the conventional SMC which is known to be susceptible to the annoying chattering phenomenon. An experimental investigation was carried out via the Matlab/Simulink with real time interface (RTI) and dSPACE (DS1104) board where the behavior of the proposed method was tested at different points of IM operation.
Nonlinear Adaptive Control for Wind Turbine Under Wind Speed Variation
Authors: Bensaber Abdelhaq.Amar , Benghanem Mustapha , Bensaber Mohammed.Amar , Guerouad Abdelmadjid.
Published: April 2019

Wind turbines components work as nonlinear systems where electromechanical parameters change frequently [1], which makes nonlinear control an interesting solution to prevail good efficiency. SMC has been largely used in electrical power applications because it offers interesting features like robustness to parametric uncertainties and external disturbances, to conquer the biggest drawback of the SMC, adaptation strategy consists on updating the sliding gain and the turbine torque to contribute with some important characteristics such as chatter-free performance, heftiness, robustness and secure power system operation. Matlab tests are introduced and compared.
Application of Sliding Mode Control Technique to Regulate DC/DC Boost Converters in Systems Exploiting Photovoltaic Power Generation
Authors: Phong Le Tien , Minh Ngo Duc
Published: April 2019

This paper introduces a new method, called IB-SMC method, to control DC/DC boost converters in systems exploiting photovoltaic power generation. This method combines the sliding mode control technique and iterative-bisectional  technique in the maximum power point tracker to change operations modes of photovoltaic power generation. The IB-SMC controller uses voltage sliding surface to evaluate the relation of instantaneous voltage at the input converter and instantaneous voltage at the maximum power point. Using information about the power of electromagnetic radiation from a pyranometer and temperature from a temperature sensor, the sliding surface and hyteresis band are changed by practically operational conditions that help improving energy efficiency of the process exploiting PVg. Simulations are carried out by Matlab/Simulink that show the ability to ensure dynamic stability by tracking instaneous maximum power point at any time whenever having any change of the operational condition, static stability by maintaining the operation point at maximum power point whenever not have any change of the operational condition and help to bring out approximately absolute energy efficiency.
Green Two-wheeled Mobility: Electric Scooters Using Brushless Motor based on Fuzzy Logic Controller
Authors: Bachiri Hassane , Nasseri Abdelfetah
Published: April 2019

In the last years electric vehicles gained importance as a more sustainable alternative to traditional vehicles. The introduction of an electric power train leads to lower air-pollution emissions. ‘Electric bicycles’ are sometimes more like an electric pedaled moped, other times more like a Vespa-looking scooter with or without pedals, and they often offer good range and speeds. However, a “scooter” can also be an electric cart for personal mobility, or a skateboard-like vehicle with small handlebars. Electric scooters are the most legislatively active realm of electric bicycles, at the present time. Brushless DC (BLDC) motors are one of the electrical drives that are rapidly gaining popularity, due to their high efficiency, good dynamic response and low maintenance. In this paper, the modeling and simulation of the BLDC motor was done using the software package MATLAB/SIMULINK. The proposed fuzzy logic controller has given optimal results compared to PI controller. The simulated system using the fuzzy controller has a fast response without overshoot, zero steady state error and high load robustness.
Linear and Non-Linear Control Design of Skid Steer Mobile Robot on an Embedded
Authors: Majumdar Jharna , C Gupta Sudip , Prassanna Prasath B
Published: April 2019

A detailed approach for a linear Proportional-Integral-Derivative (PID) controller and a non-linear controller - Linear Quadratic Regulator (LQR) is discussed in this paper. By analyzing several mathematical designs for the Skid Steer Mobile Robot (SSMR), the controllers are implemented in an embedded microcontroller - Mbed LPC1768. To verify the controllers, MATLAB-Simulink is used for the simulation of both the controllers involving motors - Maxon RE40. This paper compares between PID and LQR controller along with the performance comparison between Homogenous and Non-Homogenous LQR controllers.
Developed Z-Source H-Bridge Multilevel Inverter with Reduced Components for Speed Control of Induction Motor
Authors: L.Kuppuswamy C. , A. Raghavendiran T.
Published: April 2019

This paper introduces a new developed H-bridge based cascaded multilevel inverter with reduced components. This topology has a low complexity thereby reducing the overall cost of an inverter. The proposed circuit is connected with a PI controller and switches are controlled by pulse width modulation technique to control the speed of an induction motor. The simulation was carried out using Matlab / Simulink. The simulation of the same was made and performance of various PWM techniques such as Phase disposition (PD), Phase opposite disposition (POD) and phase shifted (PS) and there results were compared on different quantitative measures such as Voltage, current stator Total harmonic Distortion, Voltage stress and rise time. It was observed that that the proposed power circuit with Phase disposition pulse width modulation (PDPWM) that offers reduced total harmonic Detection in terms of voltage, current and phase was found to be very less when compared to other Pulse width modulation techniques. The simulation results will have a fast and quick rise time thereby making this inverter a choice for speed control of induction motor.