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Microstrip Antennas Loaded with Shorting Post  [PDF]
Pradeep Kumar, G. Singh
Engineering (ENG) , 2009, DOI: 10.4236/eng.2009.11006
Abstract: In this paper, a technical review with recent advances of the microstrip antennas loaded with shorting posts is presented. The overall size of the antenna is significantly reduced by a single shorting posts and the effect of the various parameters of shorting posts on short-circuit microstrip antenna is also discussed.
Numerical Computation of Resonant Frequency of Shorting Post Loaded Gap-Coupled Circular Microstrip Patch Antennas  [PDF]
Pradeep KUMAR, G. SINGH, T. CHAKRAVARTY
Journal of Electromagnetic Analysis and Applications (JEMAA) , 2009, DOI: 10.4236/jemaa.2009.14040
Abstract: In this paper, the numerical computation of resonant frequency of the two gap-coupled circular microstrip patch antenna loaded with shorting post by using cavity model is presented. The numerically computed results are compared with simulated results. The two gap-coupled circular microstrip patch antenna loaded with shorting post miniaturize the cross-sectional dimension of the radiating patch at the microwave frequency, which is useful for short range communications or contactless identification systems. The simulation has been performed using method-of-moments based commercially available simulator IE3D.
Comparison between static and dynamic warm-up exercise regimes on lower limb muscle power  [PDF]
Jose Shelton, G. V. Praveen Kumar
Health (Health) , 2009, DOI: 10.4236/health.2009.12019
Abstract: Aim: The purpose of this study was to compare static and dynamic warm-up regimes on lower limb muscle power and thereby the perform-ance of the individual. Methodology: Twenty eight (28) subjects were assigned into groups consisting of 2 members. From each group, 1 subject performed the static stretching and the other subject performed dynamic stretching as warm-up. This was followed by non-counter movement jumps on a force platform and the vertical jump heights were recorded. Data were analysed using one-way ANOVA and paired t-test at 0.05 alpha. Result: The results showed that dynamic stretching as warm-up causes significant increase (p=0.01) in the vertical jump height as compared to static stretching (p=0.03). Discussion: The increase in vertical jump height could be related to the increase in force pro-duction which plays an important role during the vertical jump test. On the other hand the decrease in vertical jump height following static stretching could be attributed to a decrease in the force production in the muscles. Conclusion: Dynamic warm-up increases the vertical lump height, whereas static stretching decreases the jump height of the athlete.
GPS Signal Short-Term Propagation Characteristics Modeling in Urban Areas for Precise Navigation Applications  [PDF]
G. Sateesh Kumar, G. Sasi Bhushana Rao, M. N. V. S. S. Kumar
Positioning (POS) , 2013, DOI: 10.4236/pos.2013.42019
Abstract:

GPS navigation signal includes vital information such as orbital parameters, clock error coefficients etc. This received signal which is extremely weak is affected by several errors during its propagation and is of the order of 10-16 W. The noise floor of this signal is 400 times higher than the transmitted signal. The situation becomes much worse particularly when the GPS receiver is located at urban areas where the multipath effect is predominant in the code and carrier phase measurements. GPS usage is not limited to the aircraft en-route navigation and missile guidance where the user receives the satellite signals from the open sky. At the present time, it has become an essential utility in the car navigation, mobile phones, surveying and aircraft landing application. The signal propagation characteristics particularly the short-term variations severely affect the quality, availability and continuity of the system. In this paper, short-term propagation characteristics of GPS signal are modeled and analyzed. Short-term variations are mainly due to multipath reflections and Doppler shift which degrades the quality of received signal particularly in urban environments. The variation of signal quality with respect to user velocity is observed using Rayleigh and Rician fading models.

Infant and child mortality in Ethiopia: A statistical analysis approach
PP Kumar, G File
Ethiopian Journal of Education and Sciences , 2010,
Abstract: This study uses data from the Ethiopia Demographic and Health Survey [2005 EDHS] conducted in 2005 to investigate the predictors of child [0-5 years] mortality in developing country like Ethiopia. The specific objectives of this study are to identify the factors which are affecting child mortality and to suggest viable strategies to increase health service and reduce child mortality in Ethiopia. The crosstabulation technique has been used to estimate the predictors of child mortality. The cross-tabulation analysis shows that Birth Interval with Previous child and mother standard of living index is the vital factor associated wi th child mortal ity. Furthermore, Mother’s education, birth order has substantial impact on child mortality in E t h i o p i a . Finally these findings specified that an increase in Mothers’ education, improve health care services which should in turn raise child survival and should decrease child mortality in Ethiopia.
Bovine cysticercosis in Ethiopia: A review
A Kumar, G Tadesse
Ethiopian Veterinary Journal , 2011,
Abstract: Bovine cysticercosis is an infection of cattle caused by Cysticercus bovis, the larval stage of Taenia saginata. It is an infection of public health significance as eating of raw or undercooked beef results taeniasis in human population and an important cause of economic loss mainly due to condemnation, refrigeration and downgrading of infected carcasses. Bovine cysticercosis is prevalent in cattle population of various regions of Ethiopia in a range of 2.2% to 26.25%. The reported rates of prevalence may be an underestimate because employment of the latest diagnostic methods is uncommon and the routine meat inspection is the only method in use. Habit of eating raw beef dishes, low level of toilet use by human population, backyard slaughter, low availability of taenicides, free access of cattle to surface water, and proximity of wastewater are important causes for transmission of bovine cysticercosis to a herd of cattle and taeniasis in human population and such practices are not uncommon in Ethiopia. Competent meat inspection procedure supported by immunodiagnostics, chemotherapy and vaccination are the recommended approaches to prevent bovine cysticercosis and therefore such approaches along with the current status of bovine cysticercosis in Ethiopia are highlighted in the present review.
Study of Parametric Performance Evaluation of Machine Learning and Statistical Classifiers
Yugal kumar,G. Sahoo
International Journal of Information Technology and Computer Science , 2013, DOI: 10.5815/ijitcs.2013.06.08
Abstract: Most of the researchers/ scientists are facing data explosion problem presently. Large amount of data is available in the world i.e. data from science, industry, business, survey and many other areas. The main task is how to prune the data and extract valuable information from these data which can be used for decision making. The answer of this question is data mining. Data Mining is popular topic among researchers. There is lot of work that cannot be explored in the field of data mining till now. A large number of data mining tools/software’s are available which are used for mining the valuable information from the datasets and draw new conclusion based on the mined information. These tools used different type of classifiers to classify the data. Many researchers have used different type of tools with different classifiers to obtained desired results. In this paper three classifiers i.e. Bayes, Neural Network and Tree are used with two datasets to obtain desired results. The performance of these classifiers is analyzed with the help of Mean Absolute Error, Root Mean-Squared Error, Time Taken, Correctly Classified Instance, Incorrectly Classified instance and Kappa Statistic parameter.
Analysis of Parametric & Non Parametric Classifiers for Classification Technique using WEKA
Yugal kumar,G. Sahoo
International Journal of Information Technology and Computer Science , 2012,
Abstract: In the field of Machine learning & Data Mining, lot of work had been done to construct new classification techniques/ classifiers and lot of research is going on to construct further new classifiers with the help of nature inspired technique such as Genetic Algorithm, Ant Colony Optimization, Bee Colony Optimization, Neural Network, Particle Swarm Optimization etc. Many researchers provided comparative study/ analysis of classification techniques. But this paper deals with another form of analysis of classification techniques i.e. parametric and non parametric classifiers analysis. This paper identifies parametric & non parametric classifiers that are used in classification process and provides tree representation of these classifiers. For the analysis purpose, four classifiers are used in which two of them are parametric and rest of are non-parametric in nature.
A Study of Short Areca Fiber Reinforced PF Composites
G. C. MOHAN KUMAR
Lecture Notes in Engineering and Computer Science , 2008,
Abstract:
EXPERINN E-LEARNING SYSTEM
Chetan Kumar G. Shetty
Academic Research International , 2012,
Abstract: This paper describes how digital world elements can be used in experInn e-learning systems. ExperInn e-learning system is constructed on the foundation of 2 important base concepts they are 1) Object/Image recognition and 2)Augmented reality and it uses web as the major part of communication between learner and ExperInn e-learning service provider. The goal of the proposed system is to increase “Learners Level of Perception (LLP)” by providing them with realistic audiovisual content when they are leaning. The driving force behind the development of this web-based database delivery mechanism is to provide the benefits of the ExperInn (Experience Innovations) elearning system to the learners all over the world. The proposed e-learning system consists of uploading scanned images of the textbook to the web, database creation by the experts, downloading the database package by learner, downloading the software and installing the software in the computer, installing the downloaded database files and supporting files (which consists of augmented reality outputs for particular situation and many more), image recognition, color band recognition, augmenting audio-visual content. When the web camera on a PC captures the current page of textbook, the e-learning system first identifies the images on the page, and augments some audiovisualcontent on the monitor. For interactive learning, the proposed e-learning system exploits the color-band markers which are stuck to the end of a finger. The color-band acts like the mouse cursor to indicate the position in the textbook image. Appropriate interactive audio-visual content is augmented as the marker is located on the predefined image objects in the textbook. Since the proposed e-leaning system gives practical knowledge with audio-visual content while learning, it is expected that it will increase learner interest in that concept and encourage learners to discover.
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