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In this paper, a novel solution for security constrained optimal power flow (SCOPF) problem with interline power flow controller (IPFC) is presented. The proposed algorithm is known as intelligent search evolution algorithm (ISEA). In the proposed algorithm, a two step initialization process have been adopted, the mutation operation is not used and also it gives optimal solution with less number of...
This paper deals with the implementation of Simple Algorithm for detection of range and shape of tumor in brain MR images. Tumor is an uncontrolled growth of tissues in any part of the body. Tumors are of different types and they have different Characteristics and different treatment. As it is known, brain tumor is inherently serious and life-threatening because of its character in the limited space...
In deregulated electricity market, the power marketers share a common transmission network for transferring power from generating station to distribution station. All the market participants, in the open access environment wants to maximize their profit, so they try to obtain the electrical energy from the cheapest source, which may lead to congestion in the transmission network and affect the system...
This paper presents the analysis of Load Frequency Control (LFC) of a two-area hydrothermal system under deregulated environment by considering Adaptive Neuro-Fuzzy Inference System (ANFIS). Fixed gain controllers for LFC are designed at nominal operating conditions and fail to provide best control performance over a wide range of operating conditions. So, in order to keep system performance near...
This paper identifies the suitable learning algorithm for neural network based on-line speed estimator in sensorless induction motor drives. The performance of sensorless controlled induction motor drives depends on the accuracy of the estimated speed. Conventional estimation techniques being mathematically complex require more execution time resulting in poor dynamic response. The nonlinear mapping...
Orthogonal frequency division multiplexing has a high tolerance to multipath signals and is spectrally efficient making it good candidate high data rate systems. It is a very promising technology using adaptive rate algorithm serves well to improve performance. It appears to be a good modulation technique for high performance systems but still it has drawback such as high peak to average power ratio...
Network Intrusion Detection is the most happening field of the network security research. It is a new kind of defense technology of the network security, used as a countermeasure to preserve data integrity and system availability during an intrusion. An ideal IDS system should be capable of evolving itself to identify not only known attacks but also unknown attacks. Algorithms based on Genetic Engineering...
Context based Meaning Extraction is a process of finding the correct sense of a word from the sentence. Word Sense Disambiguation (WSD) algorithm is used to remove ambiguity of words and correct domain of a word to be displayed using Word Net Domain. In this paper, conventional methods of WSD such as dictionary and knowledge base, supervised, semi-supervised and unsupervised methods are compared....
Accurate load forecasting play a key role in economical use of energy and real time security analysis of system. Artificial Neural Network (ANN) model have been extensively implemented to produce accurate results for short-term load forecasting with time lead ranging from an hour to a week. In this paper a practical case of the small load area of a town getting supplied by 19 distribution feeders...
Power system operators/planners are always faced with the problem of how to minimize the transmission losses. Reactive power plays an important role in supporting the real power transfer by maintaining voltage stability and system reliability. The optimal reactive power dispatch problem is a nonlinear optimization problem with several constraints. This paper presents a new algorithm for optimizing...
This paper presents a modified randomized cryptographic algorithm for secure exchange of secret keys. The existing randomized cryptographic algorithm (RCA) uses a dibit as the reference bits for encrypting the data of different sizes. However for large data sizes, this procedure takes more operations for the generation of key. The novelty of our work is to use a variable reference bit size that reduces...
Software testing is an important step during software development. By doing automation of software testing we can increase the robustness of software and decrease the cost of development. The automation of test data generation is done using genetic algorithm. GA analyses the fitness based on the path coverage. This paper presents a novel method for test data generation with multiple paths coverage...
Feature selection is a procedure to select highly informative features. The microarray data comprises less number of samples with more number of genes. Feature selection for gene expression data intends to find a set of genes that best discriminate highly expressed genes from highly suppressed genes. The supervised feature selection methods select features using evaluation function or metric that...
Hybrid evolutionary algorithms are created by suitably combining the good features of two parent evolutionary algorithms, normally provide better solutions than the individual ones. In this paper we have formulated the partitional clustering as an optimization problem and solved it by a newly developed hybrid evolutionary algorithm Immunized PSO. Simulation studies on four benchmark UCI datasets demonstrate...
The greatest environmental challenge today is global warming, which is caused by carbon emissions. Energy crisis brings green computing, and green computing needs algorithms and mechanisms to be redesigned for energy efficiency. Green IT refers to the study and practice of using computing resources in an efficient, effective and economic way. The various approaches of the green IT are Virtualization,...
The pH control finds wide applications in process industries. The pH process is a non-linear dynamic system and an extremely complex and challenging control problem in process industries. A considerable amount of research has been carried out on modeling, identification and control of nonlinear processes. Most dynamical systems can be better represented by nonlinear models, which are able to describe...
In computer vision, segmentation refers to the process of partitioning a digital image into multiple segments. Image segmentation is typically used to locate objects and boundaries in images. Image segmentation is the process of assigning a label to every pixel in an image such that pixel with the same label share contain visual characteristics. In this paper present a new approach for color based...
High dimensional attributes associated with Cancer patients pose problem in accurate classification of types of cancers. For achieving this objective different feature reduction schemes with a set of simple classifiers have been suggested in this paper. Firstly the dimension have been reduced using Principal Component Analysis(PCA) and proposed to be Discrete Cosine Transform(DCT).Then the reduced...
With bandwidth increasing at a constant pace, technology in education has become an important part for delivery of educational content to students. Online learning in various forms is gaining popularity but lacks the adaptability required to hold the learners attention due to its rigid structure. Though animation and powerful graphics enhance the learning content, delivery of content according to...
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