1. the dose and the rate at which the radiation is given and 2. the part of the body exposed to it. The damage may be either pathological or genetic. The radiation exposure is measured by the unit called roentgen(R). One roentgen is defined as the quantity of radiation which produces 1.6 x 1012 pairs of ion in 1 gram of air. The safe limit for receiving radiation is about 250 milli roentgen per week. The following precautions are to be taken by those, who are working in radiation laboratories. (i) Radioactive materials are to be kept in thick-walled lead...
www.ijstr.org Big Data Clustering Using Genetic Algorithm On
- Hadoop Mapreduce
Abstract: Cluster analysis is used to classify similar objects under same group. It is one of the most important data mining methods. However, it fails to perform well for big data due to huge time complexity. For such scenarios parallelization is a better approach. Mapreduce is a popular programming model which enables parallel processing in a distributed environment. But, most of the clustering algorithms are not “naturally parallelizable ” for instance Genetic Algorithms. This is so, due to the sequential nature of Genetic Algorithms. This paper introduces a technique to parallelize GA based clustering by extending hadoop mapreduce. An analysis...
ORIGINAL ARTICLE High Levels of Dopamine D2 Receptors in Unaffected Members of Alcoholic Families Possible Protective Factors
- Nora D. Volkow; Jean Logan; Phd Rita Goldstein; Phd David Alexoff; Bse Peter; K. Thanos
Context: Predisposition to alcoholism is likely an in-teraction between genetic and environmental factors that confer vulnerability and protection. Alcoholic subjects have low levels of dopamineD2 receptors in striatum, and increasing D2 receptor levels in laboratory animals re-duces alcohol consumption. Objectives: To test whether high levels of D2 receptors may be protective against alcoholism and whether this is mediated by their modulation of activity in orbitofrontal cortex and cingulate gyrus (regions involved in salience attribution, emotional reactivity, and inhibitory control). Design: Research (nonalcoholic subjects with a family history of alcoholism) and comparison (nonalcoholic sub-jects with a negative family history) sample. Setting:...
The American Journal of Innovative Research and Applied Sciences. www.american-jiras.com
- Adib Saad; Waad Sabour; Gaby Khalaf; Milad Fakhri
Background: Syria a, just like Lebanon and the neighboring countries, is one of the most influenced countries by the invasive alien species due to its proximity to the Suez Canal and the dense maritime traffic along its coastline. Invasive species, in fact, may alter the evolutionary pathway of native species by competitive exclusion, niche displacement, predation and other ecological and genetic mechanisms. The bluespotted cornet fish Fistularia Commersonii (Ruppel,1838) may contribute to increase this alternation, because it is one of the most abundant and dominant Indo-Pacific alien fishes along the Levantine basin of the Mediterranean Sea at the onset of...
- Rochelle Lieber; Karen Steffen Chung; Nathan W. Hill; Jackson T. -s. Sun; Karen Steffen Chung
ALTHOUGH there is a fairly wide consensus on the existence of a Sino-Tibetan family of languages, there is considerable disagreement among scholars regarding its exact internal structure and the hierarchical relations between its members (Jacques forth-coming: " van Driem 20ll). Many languages in this family are furthermore not well doc-umented or studied. This chapter will not attempt to address or take a stand on genetic affiliations, but will instead simply outline the derivational morphology of three rep-resentative Sino-Tibetan languages: Standard Chinese, standard written or Classical Tibetan, and Rgyalrong, a minority language spoken in Sichuan province, China. Perhaps the most high-profile...
- An Update
Drinking heavily puts people at risk for many adverse health consequences, including alcoholism, liver damage, and vari ous cancers. But some people appear to be at greater risk than others for developing these problems. Why do some people drink more than others? And why do some people who drink develop problems, whereas others do not? Research shows that alcohol use and alcohol-related problems are influenced by individual variations in alcohol metabolism, or the way in which alcohol is broken down and eliminated by the body. Alcohol metabolism is controlled by genetic factors, such as variations in the enzymes that break...
Reduction of Side Lobe Level of Thinned Phased Array Antenna using Genetic Algorithm
- P. Brahma; A. Senapati; J. S. Roy
Thinned phased array antenna is useful for Radar and satellite communications. Main drawback of phased array antenna is generation of side lobes and grating lobes when the beam is titled from broadside direction toward the end-fire direction. This paper reports the optimization of thinned phased array antenna using genetic algorithm (GA). By varying the tilt angle form broadside direction main beams of the phased are generated at different tilt angles and by GA optimization at different tilt angles side lobe levels (SLL) are reduced by thinning process. Variations of SLL and half-power beamwidth (HPBW), obtained using GA optimization, are compared...
Empirical Validation of Test Case Generation based on All-edge Coverage Criteria
- Shveta Parnami; K. S. Sharma; Swati V. Chande
Software testing assesses the functionality and correctness of the software through analysis and execution. It is done by exercising appropriate number of test cases so that no part of the program is left untested. Presence of multiple loops in a program makes it unlikely or impossible to test all paths. Therefore researchers try to find the subsets of the test cases, which when tested give confidence of complete testing. However, the subsets of paths are based on some testing criteria. In this research paper GA approach has been used to find out the subset of paths of the test program...
New Algorithm for Fault Diagnosis of Photovoltaic Energy Systems A.H.Mohamed Solid State and Electronic Accelerators Dept., (NCRRT), Atomic Energy Authority.
In the recent years, Artificial Neural Networks (ANNs) have proved their great success for fault diagnosis in many applications. The performance of the ANN depends on its topology. So, optimizing the ANN's topology is an essential task to improve its efficiency. On another side, genetic algorithms (GAs) are becoming a main optimization methodology used in solving the engineering problems. However, the proposed system introduces a new algorithm that uses genetic algorithm to optimize the topology of the ANN. It has been used for diagnosis and repairing the Photovoltaic (PV) energy systems dynamically online as a case of study. Recently, PV...
Study of Time Series Data Mining for the Real Time Hydrological Forecasting: A Review
- Satanand Mishra; C. Saravanan; V. K. Dwivedi
This paper presents a review of runoff forecasting method based on hydrological time series data mining. Researchers are developed models for runoff forecasting using the data mining tools and techniques like regression analysis, clustering, artificial neural network (ANN), and support vector machine (SVM), Genetic Algorithms (GA), fuzzy logic and rough set theories. The scientific community has been trying to find out a better approach to solve the issues of flood problems. Time Series Data mining is paying crucial role for the achieving a real time hydrological forecast. Hydrological Time series is an important class of temporal data objects and it...
Finding Template Mails from Spam Corpus Using Genetic Algorithm and K-Means Algorithm
- Liny Varghese; Supriya M. H; K. Poulose Jacob
Abstract: Spammers are using email templates for sending spam. To promote some service or product, they send mails by creating templates and merging the details of receivers with the template. Since they are using templates, similarities can be found among mails and spam detection softwares can easily ignore the forthcoming spam mails. Our objective is to identify the template mails from the whole corpora of training set emails to make the filtering process faster. In this paper we propose how supervised Genetic algorithm and K-Means algorithm can be used to generate the best population, which in turn used for spam...
In-Silico Design of a Potent siRNA Molecule for Gene Silencing in Zaire Ebolavirus
- Gopaluni Sai Akash; Jayasree Ganugapati
Zaire ebolavirus (EBOV) is one of the most dangerous and the unknown to humans. This is a filamentous virus of the family Filoviridae. Genetic studies of EBOV have shown that it has a negative-stranded RNA as genetic material and seven genes in its genome. One among these genes is the gene ‘L’, that code for a protein L (Large structural protein), this protein functions as an RNA dependent RNA polymerase. RNAi (RNA interference) is an influential method for post-transcriptional gene slicing in a specific sequence. This is done with the help of a dsRNA called siRNA. Slicing a target mRNA...
Evolutionary design of graph-based structures for optical computing
- Mihai Oltean; Oana Muntean
Abstract. Designing optical devices for solving NP-complete problems is a difficult task. The difficulty consists in constructing a graph which-when traversed by light- generates all possible solutions of the problem to be solved. So far only few devices of this type have been proposed. Here we suggest the use of evolutionary algorithms for solving this prob-lem: the graphs are generated using a special Genetic Programming ap-proach. We have tested our idea on the subset sum problem. Numerical experiments shows the effectiveness of the proposed approach.
Shailendra Kumar Shrivastava
- Garima Jain; Samrat Ashok; Samrat Ashok
Document clustering is very important in the field of text categorization. Genetic algorithm, which is an optimization based technique which can be applied for finding out the best cluster centres easily by computing fitness values of data points. While clustering around weighted prototype technique is especially helpful when proper pairwise similarities are available. This technique does not find global solution of the objective function. Experimental result shows that F-measure and Normalized mutual information of genetic algorithm is better than clustering around weighted prototype for 20 Newsgroup dataset. F-measure and accuracy of genetic algorithm is better than clustering around weighted prototype...
American Journal of Primatology 75:46–56 (2013) RESEARCH ARTICLE Taxonomy of the Bornean Slow Loris, With New Species Nycticebus kayan
- Rachel A. Munds; K. A. I. Nekaris; Susan; M. Ford
More species of nocturnal primates are now recognized than in the past, because many are cryptic species. Subtle morphological disparities, such as pelage pattern and color variation, vocal cues, and genetics have aided in elucidating the number of diagnosable species in a genus. The slow lorises (genus Nycticebus) once included only two species, but recent taxonomic studies resulted in the description of three additional species; further incompletely explored variability characterizes each of the currently described species. The Bornean loris in particular is characterized by pelage and body size variation. In this study, we explored facemask variation in the Bornean loris...
CCGA-BN Constructor: A Bayesian Network Learning Approach
- Maryam Feroze; Muhammad Saeed; Nasir Touheed
This paper presents a tool CCGA-BN Constructor for learning Bayesian network that uses cooperative co-evolutionary genetic algorithm to learn Bayesian network structure from data. The problem has been broken down into two sub-problems: (a) to find the optimal nodes’ordering and (b) to find the optimal adjacency matrix of the graph. Both the sub-problems ’ solutions are then combined to produce the optimal structure. CCGA-BN constructor used Bayesian score for networks having nodes with more than two states and BIC for network having bistate nodes. The findings of this paper are compared against the original structures and the results show a...
A Comparative Study on Dynamic Scheduling of Real-Time Tasks in Multiprocessor System using Genetic Algorithms
- Sri Raj Pradhan; Sital Sharma; Debanjan Konar; Kalpana Sharma
Multiprocessors have evolved as powerful computing tools for executing dynamic real time tasks. The continual evolutions of the multiprocessor and real-time systems in the last few decades have encouraged the research and development of a new and efficient algorithm for dynamic scheduling of real-time task in multiprocessor systems. This paper proposes a compact study on dynamic real time task scheduling in multiprocessor environment using Genetic Algorithm (GA) which is a typically NP-complete problem. GA exploits the power of parallel computing which drives the solution towards optimal one. The GA, inspired by biological genetics and the process of natural selection, comprises...
The American Journal of Innovative Research and Applied Sciences. | ISSN |2429-5396 |. www.american-jiras.com
Background: It is well established now that fat deposition is governed by the genetic, nutritional and management practices. However, most influenced agent in this respect is the nutritional factors mainly phase feeding. Objectives: This experiment was conducted to evaluate the effect of phase feeding diets (starter, grower and finisher) on broiler performance, serum-carcass cholesterol and fatty acids profile. Material and Methods: A number of 90 chicks (Ross308) from the healthy and uniform chicks were selected and (Ross308) reared for six weeks in deep litter open house and assigned randomly to the three dietary treatments each replicated three times (nine experimental...
Dimensional Synthesis of Four Bar Mechanism Using Genetic Algorithm
- S. S. Shete; S. A. Kulkarni
Abstract: The dimensional synthesis is done by using Genetic Algorithm to achieve a desired trajectory. Three problems are analyzed having different curvature. The program is authored in MATLAB 2010a. The error is seen to be in the permissible prescribed limit. The prototyping of straight line trajectory analysis is also done in ADAMS
Application of GLBP Algorithm in the Prediction of Building Energy Consumption
- Dinghao Lv; Bocheng Zhong; Jing Luo
Abstract—Using BP neural network in past to predict the energy consumption of the building resulted in some shortcomings. Aiming at these shortages, a new algorithm which combined genetic algorithm with Levenberg-Marquardt algorithm (LM algorithm) was proposed. The proposed algorithm was used to improve the neural network and predict the energy consumption of buildings. First, genetic algorithm was used to optimize the weight and threshold of Artificial Neural Network (ANN). Levenberg-Marquardt algorithm was adopted to optimize the neural network training. Then the predicting model was set up in terms of the main effecting factors of the energy consumption. Furthermore, a public...