Abstract: In this paper a heuristic technique based optimal location and sizing of UPFC is proposed to improve the dynamic stability. The UPFC sizing is predicted and determines the favourable location to fix UPFC with constraint of power flow. Also, it generates the effects of power flow to identify the maximum power loss, voltage, real and reactive power flow. By using GA based Modified Artificial Bees Colony (MABC) algorithm the optimum location has been determined and reduce the power loss with reactive and real power flow. The violated power flow quantity is optimized by using the Improved Gravitational Search Algorithm (IGSA) and the initial condition of UPFC required quantity is recovered. IGSA is used to identify the maximum loss of power to fix the UPFC to avoid power flow affects by generator outage. The proposed work performance analyses are evaluated by implementing the proposed algorithm in the MATLAB/SIMULINK platform. The analysis results of the proposed algorithm shows better performance than the existing and also determine the pre-eminence of the proposed approach and confirm it’s prospective to solve the problem.

The Dede Korkut Epic stories that are a part of the Epics of Oghuz are one of the most important sources that reflect the original culture of the Turkish Nation, that is our own culture.\nFor now there are two samples of these due epics that have been transferred up today. One of them is the Vatikan Sample by Ettori Rossi and the other one the Dresden Sample by Heinrich Friedrich von Diez.\nDiez published two books in 1811 and 1815 he titled as “Denkwürdigkeiten von Asien”. In the first of the books (1811) that of which consists of about 1500 pages, there is a writing that can be translated as “The Book of Oghuz” placed on page 157 of chapter IX of the book “Buch des Oghuz”. The due book consists of 49 pages, in which information is given in the first nine pages and 200 sayings placed on the remaining pages. There are two manuscripts placed in the second book of his that was published in 1815. The first of them is “Buch des Oghuz von Dede Korkut” that can be translated as “Book of the Oghuz by Dede Korkut” and is placed on pages 288-331 of chapter 7. In the same book on pages 399-457 of chapter 14, a writing takes place “Der neuentdeckte oghuzische Cyclop verglichen mit dem Homerischen” that can be translated as “The comparison of the newly found Cyclop of Oghuz with that of Homer”.\nWe will deal upon the third manuscript within the due three manuscripts. There are important identifications in this work translated by us. Diez is writing about the Cyclop in the work of Homer named Odyssee as being inspired by the Cyclop of the Oghuz (Tepegöz of Oghuz). In comparing the Cyclop taking place in the Greek mythology, that is comparing the Greek Cyclop of the Oghuz, this work reveals the fact that the Greek Cyclop was inspired by the Cyclop of the Oghuz and thus comes to the conclusion that it was copied from this original.\nSince it is of utmost significance, the due manuscript is considered to be published by us in two parts. That is; Diez had been able to gather a good amount of knowledge on the subject about the Cyclop. And in our opinion he had translated it truthfully the same. But however in translating the text to German from the language of the Ottoman’s (Osmanlıca) he made some misunderstandings. So as a result, in the first part of the manuscript it will be dealt upon the misunderstandings Diez made while translating and it will be our endevour to reveal the differences between the Cyclop of Homer and the Cyclop of the Oghuz in detail by trying to reflect the point of view of Diez continiuosly.

Abstract: Wireless sensor nodes are fixed in stable environment, so more distance between nodes in network cause packet drop. During transmission period node broadcast data packets there is coverage problem. It affects network lifetime, normal sensor nodes have certain limits for packet exchange, which makes unbalanced load for routing node. It minimizes the packet delivery rate, also consume more energy. Proposed Improved Communication Confining Clustering (ICCC) Method, information is exchanged in cluster member nodes, which are organized by cluster head. Nodes confining with intra clustering, provides the stable link among nodes in cluster achieve effective packet transmission in that node. Unceasing possession Node allocation algorithm is applied to clustering, it merges many feature in cluster members nodes also reduce energy usage range. This method not allows the re-clustering of nodes that reduce time delay.

To study the forklift that is more suitable for handling goods in narrow spaces, the modeling and simulation of four wheel steering (4WS) forklift is studied. Firstly taking the type of TFC35 electric forklift as an example, the principle and the main parts of 4WS system based on steer by wire (SBW) technology are analyzed and researched. Secondly according to the Newton vector mechanics system, a dynamic model of the two degree of freedom (2DOF) is established for 4WS forklift, and then the dynamic model of the three degree of freedom (3DOF) of the forklift is established by Lagrange method to consider the effect of roll motion on the forklift. Finally using MATLAB software to build the simulation models, and under the same simulation parameters, the simulation results show that the two kinds of dynamic models have similar steady-state response, but due to the 3DOF dynamics model considering the roll factor, it can reflect the steering characteristics of actual forklift better than the 2DOF dynamics model. The forklift studied in this paper is flexible and more suitable for working in small space compared with the traditional rear-wheel steering (RWS) forklift.

Abstract\n\n \nIn biodiversity management and conservation, the identification and classification of natural vegetation are considered as a major issue. In this paper, natural vegetation and its formations are identified using a Worldview-2 spectral imagery. The classification of the Worldview-2 image and ancillary thematic data was performed by using an Improved Relevance Vector Machine with Mosquito Flying behaviour based swarm intelligence Optimization (IRVM-MFO) algorithm. Here the perceptive strength of the spectral signature and the Local features of spectral bands are considered in each pixel. In addition texture features such as Fourier spectrum and GLCM features are exploited to make the system more robust. In IRVM, the MFO approach used to optimize the kernel functions of parameters to improve the training process. The proposed IRVM-MFO shows improved classification performance in terms of parameters like overall sensitivity, specificity and accuracy compared with simple RVM and SVM methods. The proposed method has results in a high accuracy of 92.3% and the Kappa index varying between 0.92 and 0.78 at vegetation formation levels.

In an automotive electronics applications there are approximately 230 electronic control units ECU’s are used to provide intelligent driving assistance. So, there is an effective multiple objective real time task scheduling techniques are required to provide better solution in this domain. This paper describes novel multiobjective evolutionary algorithmic techniques such as Multi - Objective Genetic Algorithm (MOGA), Non-dominated Sorting Genetic Algorithm (NSGA) and Multi - Objective Messy Genetic Algorithm (MOMGA) for scheduling real time tasks to a multicore processor based ECU. These techniques improve the performance upon earlier reported of an ECU’s by considering multiple objectives such as, low power consumption (P), maximizing core utilization (U) and minimizing deadline missrate (δ). This work also analysis the schedulability of realtime tasks by computing the converging value of a series of task parameters such as execution time, release time, workload and arrival time. Finally, we investigated the performance parameters such as power consumption (P), deadline missrate (δ), and core utilization for the given architecture. The evaluation results show that the power consumption is reduced to about 5 - 8%, utilization of the core is increased about 10 % to 40% and deadline missrate is comparatively minimized with other scheduling approaches.

The ECG (Electrocardiogram) signal represents electrical behavior of\nheart over time and is measured by placing electrodes on specific locations of\nlimb. These signals are useful for monitoring and diagnosis of heart related issues.\nECG signals are often corrupted by artifacts during acquisition and transmission\npredominantly by high frequency power line interference, electromyography\nnoise and low frequency noise caused by motion of electrodes (baseline changes).\nAddition of these artifacts changes morphology of the ECG signal which affect\naccurate analysis and hence need to be reduced for better clinical evaluation.\nECG signals also generate massive volume of digital data, so they need to be\nsuitably compressed for efficient transmission and storage. Hence, for efficient\ncompression/approximation, in this paper, the ECG signal taken from MITBIH\ndatabase is preprocessed using Total Variation Denoising approach and\nthe preprocessed signals are then characterized using Bottom-Up approach.\nThe individual sections are then approximated using Chebyshev polynomials\nof suitable order. The performance of the approximation technique is measured\nby computing the Maximum Absolute Error, the Compression Ratio, Root\nMean Square Error, Percent Root Mean Square Difference and Percent Root\nMean Square Difference Normalized. The results are also compared with other\ntechniques reported in the literature, where significant improvements in all the\nperformance metrics are observed by the proposed method.