Dr.-Eng. Mazen Abu Amro¹, Dipl.-Eng.Ali Imara² and Samy S.Abu Naser¹, ¹Al Azhar University, Gaza and ²Palestinian Airlines, Gaza

 

Abstract: Reducing of pollutants with simultaneous increase of the gas turbine power, is always a fundamental aim of the Turbine technology. New developed structures and operating systems in the turbine production have been established. In the meanwhile, burning instabilities are still appearing in these systems during a Cross-ignition process (CI), creating pollutants due to high flame temperatures, and are not yet completely investigated.The phenomena of a CI is taking place during operation of malty-burner combustion chambers, when one burner is extinguished and a particular volume of combustible mixture is formed in the distance between this burner and the adjacent lightened one, which considered to be as an ignition path. Cross ignition process should be performed along the ignition path in a particularly controlled small time.So that, no excessive quantities of combustible mixtures will be injected during this time in the combustion chamber. Otherwise, burning instabilities and mechanical wear will be occurred. Depending on this illustration, the Cross Ignition Time (CIT) of an extinguished burner, that will be considered as the evaluation measure for the entire cross-ignition process, should be Possibly as low as its normal ignition time.The main objective of this project is to reproduce constructive criteria for controlling of cross ignition process by influencing the mixing process and heat flux in a defined mixing zone existing along the ignition path.

 

Keywords: Malty- Burners, Liquid fuel, Cross- Ignition, Heat Flux, Numerical- Modelling.

 

  

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Ashwani Kharola, Defence Research & Development Organization (DRDO), India

 

Abstract: This paper illustrates a Comparative study of highly non-linear, complex and multivariable Inverted Pendulum (IP) system on Cart using different soft computing techniques. Firstly, a Fuzzy logic controller was designed using triangular and trapezoidal shape Membership functions (MF's). The trapezoidal fuzzy controller shows better results in comparison to triangular fuzzy controller. Secondly, an Adaptive neuro fuzzy inference system (ANFIS) controller was used to optimize the results obtained from trapezoidal fuzzy controller. Finally, the study illustrates the effect of variation in shape of MF's on Performance parameters of the IP system. The results shows that ANFIS controller provides better results in comparison to both fuzzy controller.

 

Keywords: Inverted Pendulum, Fuzzy logic, ANFIS, Performance parameters, Matlab-Simulink.

 

  

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Samy S.Abu Naser, Al-Azhar University, Palestine

 

Abstract: This paper introduces SL5 Object, the Simpler Level 5 Object Expert System Language. SL5 Object is a rule-based language for specifying expert systems.This paper first introduces the concept of expert systems and production systems, as well as the typical architecture of such a system. Then it presents a thorough outline of the SL5 Object Language: the syntax of rules and Objects, allowed constructs, the module structure. It also presents the execution cycle of the SL5 Object engine, as well as a number of methods to influence the default progress of this cycle.Finally, this paper introduces an example of Cars diagnoses problems to illustrate the capabilities of SL5 Object and the concepts presented. .

 

Keywords: Programming Language, Production Systems, Expert Systems, Object.

 

  

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Pikaso Pal¹, Rajeeb Dey², Raj Kumar Biswas¹ and Shubhashish Bhakta⁴, ¹National Institute ofTechnology Agartala, India and ²National Institute of Technology Silchar, India

 

Abstract: This paper presents a new approach to determine the optimal proportional-integral-derivative controller parameters for the speed control of a separately excited DC motor using firefly optimization technique.Firefly algorithm is one of the recent evolutionary methods which are inspired by the Firefly's behavior in nature. The firefly optimization technique is successfully implemented using MATLAB software. A comparison is drawn from the results obtained between the linear quadratic regulator and firefly optimization techniques. Simulation results are presented to illustrate the performance and validity of the design method.

 

Keywords: Separately excited DC motor; Linear Quadratic Regulator; Optimal control; Firefly Algorithm; PID controller Tuning component

 

  

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Esley Torres, Yasel Garces, Osvaldo Pereira and Roberto Rodriguez, Institute of Cybernetics, Cuba

 

Abstract: Image segmentation is a critical step in computer vision tasks constituting an essential issue for pattern recognition and visual interpretation. In this paper, we study the behavior of entropy in digital images through an iterative algorithm of mean shift ?ltering. The order of a digital image in gray levels is de?ned. The behavior of Shannon entropy is analyzed and then compared, taking into account the number of iterations of our algorithm, with the maximum entropy that could be achieved under the same order. The use of equivalence classes it induced, which allow us to interpret entropy as a hyper-surface in real m-dimensional space. The difference of the maximum entropy of order n and the entropy of the image is used to group the the iterations, in order to caractrizes the performance of the algorithm.

 

Keywords: Maximum entropy of order n, equivalence classes, image segmentation, mean shift, relative entropy

 

  

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Aashish Kumar Bohre, Ganga Agnihotri and Manisha Dubey,MANIT,India

 

Abstract: The new presented Butterfly-PSO technique (or BF-PSO) is basically originated by Particle Swarm Optimization (PSO). The Butterfly-PSO technique (BF-PSO) appears as a new growing star among all optimization techniques. The proposed 'Butterfly- Particle Swarm Optimization (Butterfly or BF-PSO)' is inspired by butterfly natural intelligence, character, behavior, intelligent network and intelligent communication during the nectar search process. The BF-PSO introduces new parameters such as sensitivity of butterfly (s), probability of food (nectar) (p), the degree of the node and the time varying probability coefficient (a). These parameters improve the searching ability, excellent convergence and the overall performance of the Butterfly-PSO effectivly. The BF-PSO optimizations results have been presented for various functions with the multi-dimension problems.

 

Keywords: Optimization techniques, Particle swarm optimization (PSO), Butterfly-PSO (BF-PSO), Butterfly communication network, Sensitivity, Probability of nectar.

 

  

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Claudia Peerez Ruisanchez,Universidad Autonoma del Estado de Morelos,Cuba

 

Abstract: In this paper is proposed a new algorithm to construct S-Boxes over GF(28) with Branch Number value at least 3. This is an important property that guarantees a high diusion in the S-Box [12]. Also are introduced some defnition and properties that show the be- havior of S-Boxes under the composition with affine functions. Finally is presented a comparision between this algorithm and the method pro-posed by Tavares [12].

  

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Mohammed Alnajjar¹ and Samy S.Abu Naser², ¹The Islamic University of Gaza, Palestine and ²Al-Azhar University, Palestine

 

Abstract: Data mining consists of evolving set of techniques that can be used to extract valuable information and knowledge from massive volumes of data. This paper highlights the data mining techniques applied to mine a group of received staff petitions through staff complaint mechanism in UN organization in Gaza.Staff complaint mechanism (feedback mechanism) is a mechanism that supports the staff members. The employees send complaints / petitions that face them by filling the requested details including the request type (complaint, question, suggestion, others, beneficiary or not categorized).

The response unit receives the requests and categorize it, and finally prepares the reply then sends it back to the employee. The important thing is: after the employee receives the reply, the employee should indicate whether he/she is satisfied with it or not. So the period between request date and reply date may affects the feedback since the regular reply period must not exceed 7 days after receiving any request.

In this paper we attempted to study and analyze the data received within 18 months. This data sample contains more than 6000 records that cover different employee requests types. Thus, we try to know the effects of delay of reply on the feedback received by complainant staff; furthermore, we need to know what kinds of staff that always ask questions and try to find the relationship between staff salary (according to grade) and nature of the request. Thus this paper gives insight on how data mining can be applied in finding the consequences of staff requests and needs and hence try to minimize these requests over the time.

 

Keywords: Feedback Mechanism, Complaint mechanism, data mining techniques. of nectar, Degree of the node.

 

  

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C.R.Balamurugan¹, S.P.Natarajan², R.Bensraj² and T.S.Anandhi², ¹Arunai Engineering College, India and ²Annamalai University, India

 

Abstract: This paper proposes different types of modulation methods for the Diode Clamped Multi Level Inverter (DCMLI). In this paper, a DCMLI is controlled with Sinusoidal PWM technique (SPWM), Third Harmonic Injection PWM technique, Sixty degree PWM technique and Stepped wave technique with Sub harmonic (SHPWM), Carrier Overlapping (CO), Phase shift (PS) , Variable frequency (VF) and the variation of Total Harmonic Distortion (THD) in their outputs are observed and also chosen inverter is controlled by SPWM technique, THI PWM technique, Sixty degree PWM and Stepped wave technique by varying the modulation index. Simulation are performed using MATLAB-SIMULINK. It is observed that SHPWM strategy provide output with relatively low distortion. It is observed that COPWM strategy provides higher Vrms compared to other modulation strategies.

 

Keywords: THD, Stepped, THIPWM, 60 degree PWM, unipolar. of nectar, Degree of the node.

 

  

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Meena Priya.P, Annamalai University, India

 

Abstract: A mathematical model is presented in this paper to study the dispersion ofaerosols with and without chemical reaction in the presence of electric and magneticfield. The Taylor dispersion coefficient is determined and are numerically computedfor different values of reaction rate, electric and Hartmann numbers. The results aredepicted graphically and conclusions are drawn in the final section.

 

Keywords: Fluid, Concentration of aerosol, Chemical reaction, Taylor dispersion model. of nectar, Degree of the node.

 

  

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Yashwant sawle and S.C.Gupta, Maulana Azad National Institute of Technology, India

 

Abstract: Hybrid renewable energy based off-grid or distribute power supply has customarily thought to be a solitary innovation based restricted level of supply to meet the essential needs, without considering dependable energy procurement to rural or remote commercial enterprises. The aim of the paper is to propose a design idea off-grid hybrid system to fulfil the load demand of the telecom base station by using renewable energy resources for rural regions. HOMER software tool is used for simulation and optimization and it also analysis the total net present cost (TNPC) $100,757, carbon emission is zero percent, initial cost $70,920, operating cost $2,334, Capacity Shortage 0.17% and the cost of energy (COE) $0.502. The HOMER simulation outcome gives the most feasible hybrid system configuration for electric power supply to the remote location telecom base station.

 

Keywords: Solar-PV, wind turbine, hybrid system, Base transceiver stations, Homer. of nectar, Degree of the node.

 

  

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Esley Torres, Roberto Rodriguez, YaselGarces and Osvaldo Pereira, Institute of Cybernetics, Cuba

 

Abstract: In this paper, we propose a new method for edge detection in obtained images from the Mean Shift iterative algorithm. The comparable, proportional and symmetrical images are de?ned and the importance of Ring Theory is explained. A relation of equivalence among proportional images are de?ned for image groups in equivalent classes. The length of the mean shift vector is used in order to quantify the homogeneity of the neighborhoods. This gives a measure of how much uniform are the regions that compose the image. Edge detection is carried out by using the mean shift gradient based on symmetrical images. The difference among the values of gray levels are accentuated or these are decreased to enhance the interest region contours. The chosen images for the experiments were standard images and real images (cerebral hemorrhage images). The obtained results were compared with the Canny detector, and our results showed a good performance as for the edge continuity.

 

Keywords: Edge detection, gray levels, ring theory, mean shift, gradient. of nectar, Degree of the node.

 

  

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Meenakshi.K ¹ and Harisha.CS², ¹CMR Institute of Technology, India and ²BTL Institute of Technology, India

 

Abstract: The prime factorization theorem states that every integer greater than 1 can be expressed as a product of primes. Goldbach conjecture states that every even number greater than 2 can be expressed as a sum of 2 primes. In this paper we study the proof of prime factorization theorem using hypergraphs and we show that every sum of two or more primes gives a composite number.

 

Keywords: prime factorization theorem, complete prime vertex composite edge weighted hypergraph of nectar, Degree of the node.

 

  

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Sharada B, University of Mysore, India

 

Abstract: A set D of vertices of a graph G is a dominating set if every vertex in V \ D is adjacent to some vertex in D. In this paper, we provide a constructive characterization of trees with unique minimum dominating set.

 

Keywords: Dominating set, graph, tree, vertex

 

  

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Ananya Chakraborty, Vemana Institute of Technology, India

 

Abstract: In this paper we have considered nonlinear fractional programming problem with multiple constraints. A pair of primal and dual for a special type of nonlinear fractional programming has been considered under fuzzy environment. Exponential membership function has been used to deal with the fuzziness. Duality results have been developed for the special type of nonlinear programming using exponential membership function. The method has been illustrated with numerical example. Genetic Algorithm as well as Fuzzy programming approach has been used to solve the problem.

 

Keywords: Fuzzy Mathematical Programming, Nonlinear Fractional Programming, Exponential membership function, Decision Analysis, Genetic Algorithm

 

  

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Mohammed Alnajjar¹ and Samy S. Abu Naser², ¹The Islamic University of Gaza, Palestine and ²Al-Azhar University, Palestine

 

Abstract: Software Engineering, the art and science of building improved software, is a core requirement of the majority computer science curriculum. Our ongoing research program focuses on three aspects of the global development of software in Palestine: (1) collection of quantitative data regarding current practice and performance in a variety of organizations; (2) determination of the adoption of competing models of software development across the organizations, and (3) analysis of the impact of different development practices on performance. This paper show the results of a survey of software development projects principally centered in using software engineering principles. The aim of this research is to measure the effectiveness of using software engineering practices on the productivity and quality of the software. The study showed the variation of using these practices from doing project management, requirements gathering methods, documentations, coding standard and testing. And try to give some directions to enhance the quality and productivity of the software in Palestine. The conclusion of the survey was the majority of IT companies and organizations in Palestine did not use most of common software engineering practices as required, the usage of software standards varied among them, as most of them did not document their projects, and the testing process was negative.

 

Keywords: Software engineering, software practices, software development methodology.

 

  

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Binod Kumar Singh, University of Petroleum & Energy Studies, India

 

Abstract: In statistical estimation procedure prior information regarding the unknown value of parameter is utilizing and it may result in a decrease of sampling variability of the estimator or it may save sample size which is desirable in many estimation procedures. The commonly used approaches in statistical inference which utilize prior information are Bayesian approach, preliminary test procedure and shrinkage estimation. The paper proposes preliminary test estimator and shrinkage preliminary test estimator for the variance in normal distribution and studies its property under Linex loss function. The paper also proposes and suggests shrinkage preliminary test estimator for the variance in negative exponential distribution and studies its property under Linex loss function.

 

Keywords: Linex loss function, Shrinkage estimation, Preliminary test estimation, Shrinkage preliminary test estimation

 

  

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Phani Yedlapalli¹, S.V.S.Girija², A.V.Dattatreya Rao³ and G.V.L.N.Srihari⁴, ¹Swarnandhra College of Engineering & Technology, India, ²Hindu College, India, ³Acharya Nargarjuna University, India and ⁴Aurora Engineering College, India

 

Abstract: In practical life usually we come across angular or periodic data which needs distributions that are invariant of zero direction and sense of rotation for analysis. Inverse stereographic projection/ Bilinear transformation defined by a one to one mapping generate a class of probability distributions on unit circlethat are flexible to analyse circular data. The probability density f unction of many life testing models ranges from 0 to . Aiming to construct new circular model by applying Inverse Stereographic Projection, we consider Double Weibull distribution and derive density, distribution and characteristic functions of new circular model coined by us Stereographic Double Weibull distribution. Also an attempt is made to study the mathematical aspects in evaluating trigonometric moments of new circular model and present the population characteristics. Goodness of fit to a live data is verified.

 

Keywords: Characteristic function, Circular models, Inverse Stereographic Projection, Trigonometric moments, Unimodal. estimation

 

  

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