In the modern world, the digital signal processing embeds more in real time applications. Several researchers focused on filtering process to identify the limitation in traditional methods. In this article, the meta-heuristic algorithm is deployed for optimizing the design of infinite impulse response (IIR) filter. The traditional IIR filter results create computational complexity and its performance is worse in the case of a noisy environment. In signal processing, IIR plays several roles in filtering and monitoring the signal amplitude. The African Buffalo Optimization (ABO) is quite easy for implementation and its performance outcomes solved many problems in various domains. Hence, it is selected for solving the IIR filter problems to obtain the optimal filter coefficients. Initially, the IIR filter is designed for different orders under ABO concept. The performance of the ABO based IIR filter is superior to those obtained by Genetic Algorithm and the cuckoo search algorithm. The performance result of the proposed method proves that it has a smaller magnitude error and phase error with fast convergence rate.

Abstract: Nowadays, breast cancer is one of the major issues among women in developed nations. It occurs based on their lifestyles and eating habits. As per many researchers, cancer leads to death. Likewise, breast cancer is also one of the leading dangerous cancer types that may result in critical issues over a body. Hence to avoid such activities it is necessary to detect the cancer spot and provide some clinical experiments, it is termed as early detection. The detection of this type of cancer is difficult at initial stage because the cancerous tumors are rooted in the common breast tissue structures. The main objective of this research is to model a breast cancer prediction system with a novel machine learning approach based on wavelets is proposed. The prediction of breast cancer for diagnosis process is made by the proposed algorithm named as Optimally Pruned Hybrid Wavelet Kernel-based Extreme Learning Machine (HOP-WKELM). Initially, the input is pre-processed for noise reduction using kuan filter. After that, Quantum Evolutionary Algorithm (QEA) is applied to segment the cancer part in mammogram image and feature extraction using Grey-level co-occurrence matrix (GLCM), Gabor filter and Local Binary Pattern (LBP) features. The extracted features are classified using HWKELM classifier. In this HWKELW, WKELM learning algorithm utilized the Dragonfly Swarm Behavior-based Optimization (DSBO) approach to optimize the parameters of kernel functions. The proposed strategies achieved a maximum accuracy of 98.8% and a maximum precision of 98.1% when compared with existing Adaboost systems.

Abstract: Nowadays, utilization of power system with management and monitoring of smart grid system is essential in global wise. Therefore, Phasor Measurement Units (PMUs) device is used for advanced monitoring of real time system, analysis and control in smart power grid system. An Optimal PMU Placement (OPP) is quite important during planning studies for both existing and future power networks. So, the problems of minimizing the number of PMUs and their optimal location for system are mainly considered. In this work, to achieve better optimal location and reduce the number of PMUsand to increase the measurement redundancy, an Enhanced Bat Algorithm (EBA) is proposed for optimization with phasing module. Phasing is mainly considered for OPP to reduce the cost. In phasing unit, PMUs are separated into three phases and those are concentrated in each phase separately. Finally, IEEE-14 bus standard systems and the Tamil Nadu state power grid (83 bus system) are utilized to test the proposed model. The simulation results are evaluated and compared with existing algorithm to show the efficient process of OPP with better optimization, less cost and minimum redundancy than the existing optimization schemes.

ABSTRACT\nIn the applications of Wireless Sensor Network, sensor nodes broadcast the data towards the destination. Localization is considered as the most important and interesting area in WSN as identifying the location of sensor nodes is needful for many situations. The proposed work, points on discovering the sensor node location and promotes cross layer effective routing path searching for the reliable data transmission in the network. The proposed work consists of three main phases. The initial phase includes the cross layer link establishment. The second phase includes, identifying the fuzziness of wireless sensors. It tracks the location of sensor nodes and analyzes the behavior. This can be done with the algorithm namely Fuzziness based Contiguous nodes Refining Algorithm. Since the characteristics of nodes may vary often, the algorithm finds the unsuitable communication node in the routing path and removes it. Source node controls the activities of the intermediate nodes in the routing path. After identifying and removing the unsuitable nodes, in final phase, an effective routing path is established by using the scheme called Efficient Fuzziness based Contiguous node refining with cross-layer routing Scheme (EFCRS) is proposed. This selects the routing nodes from starting node to ending node with the lesser energy usage. At last, destination node acquires the enhanced throughput and reduced consumption of energy. It also obtains minimum packet latency. Simulation is carried out and found it achieves better performance than existing algorithms in comparing metrics end to end delay, overhead, connectivity ratio, throughput and energy consumption.

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.