Archives-December 

The combo of coding with spatial assorted qualities opens up new measurements in wireless interchanges, and can offer successful answers for the difficulties confronted in acknowledging solid rapid connections. Use of Space-Time Block Coding (STBC) with Multiple-Input Multiple-Output (MIMO) set-up proves to be an efficient method for this task. In wireless environment there is no prior knowledge of the channel state information (CSI) and hence it is required to employ some estimation techniques to obtain an estimate of the channel. Channel estimation is thus an important step in receiver design. Multiple Input Multiple Output (MIMO) is a promising candidate for the upcoming generation communication networks. It has been proposed to develop wireless systems that offer both high capability and good performance. To accomplish high date rate and ful?ll the power, MIMO systems are equipped with High Power Ampli?er (HPA). Unfortunately, the nonlinearity of HPA has a crucial impact and affects the receiver’s performance. Due to the high bandwidth utilization efficiency, multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) techniques have become a major trend for modern communications. However, MIMO-OFDM techniques need exact synchronization and channel estimation methods to compensate the frequency offset and utilize the multiple antenna diversity.

Magnetic resonance Image (MRI) is a medical image method use in radiology to visualize internal body structures like tissues. MRI method provides high-quality contrast effect to visual tissues of brain and MRI contrast is enhancing appearance of tumors in brain. In this survey compared the CLIC, EM, AFCM, Bias Field Estimation, SFKFCM, MFCM and FLGMM methods for accurate brain segmentation in MRI images. CLIC method to evaluate metric tissue classification and estimate bias field minimizing energy, optimal bias field derived smoothness of CLIC method. It’s applied for fully automated applications. AFCM applied on corrupted images in reality accurate in classification and partial volume effect. MR data corrupted truth brightness variation in each component. AFCM implementation is faster than other methods one major problem in AFCM method is to look for clusters of the same shape, size and increased complexity. Bias corrected FCM method with spatial neighborhood regularization period and its time taking; lacks robustness to noise is main problem of the method. In GKFCM method with a spatial bias correlation can automatically learn parameters by prototype driven learning scheme and this method is effective more robust to noise. SFKFCM method for segmenting brain MRI images and correcting spurious variations, to improve the separability of observed data, fast clustering scheme improve speed up process and execution time is reduced improved clustering results. MFCM for adaptive segmentation and intensity correlation of MR images and automation available for the segmentation of MR images into tissues classes correcting interscan intensity inhomogenetics. MFCM leads to increased improvement in quality of 3D brain structures and visualization. GMM voxel intensities in each target region, its lack of taking spatial information and uncertainty data may produce poor segmentation result. To overcome problem in segmentation FGMM concept is proposed for uncertainty data and parameter quality improvement. The integration of the weighted GMM energy functions in the entire image and uses a truncated Gaussian kernel function to incorporate spatial constraints into local GMM employ the fuzzy membership function to balance each GMM segmentation process. FGMM reduced noise, low contrast, bias field and improved segmentation result compared with all other methods proposed by previous researches.

The Ab-initio and charge density analysis of Au and thiol substituted Dicyclopentyl-Cyclohexan (DCC) molecular nanowire, was carried out using high level Density Functional Theory (DFT) with the help of LANL2DZ basis set coupled with the Bader’s theory of atoms in molecules . All the studies were carried out in the presence of an applied electric field which is gradually increasing from 0.05–0.26VÅ?1. The effect of the applied electric field on the geometrical and the topological analysis of the molecular wire is thoroughly made and studies were made to charcterise the bonds, especially the terminal bonds, which shows ionic nature. The variation in the dipole moment as a consequence of the polarization caused by the applied EF is thoroughly studied. HOMO-LUMO analysis was carried out to determine the way the molecule interacts with other species which may initiates the conductivity. The I–V characteristics of the molecule have been studied for various applied fields for finding the conducting nature of the molecule-electrode-molecule system. The molecular electrostatic potential surface was plotted over the geometry of the molecule to elucidate the reactivity of the molecule.

The abnormal right coronary artery originating from the left coronary system is an extremely rare variation of isolated single coronary artery. It is often a benign entity and the patients remain asymptomatic. Nevertheless, it can lead to sudden death during exertion. The treatment of this coronary anomaly may be medical, percutaneous and/or surgical. We present here a right coronary artery originating from the proximal left anterior descending artery in the first case and from the left main coronary artery in the second case. Both patients were seen to have an acute coronary syndrome with multi-vessel coronary artery disease.

Pistachio is one of the most important export and strategic agricultural product in the word and comprehensive study on its agro-ecological requirements can lead to find out the suitable areas for producing pistachio as well as addressing the best management practices to achieve the sustainability. This paper tries to review agro-ecological requirements (climate, soil and site) for pistachio after describing the role and the limitation levels of the climatic, landscape and soil properties that influencing on the yield and quality of the pistachio trees and their nuts, respectively.

Tomato fruit is used commonly as vegetables of different preparations - tomato juice, tomato ketchup, tomato soup. 3 fruits of 96, 40 & 20 gms selected due to showing symptoms of early blight of Alternaria solani as well as symptoms of Aspergillus niger. The area 0.09 Cm2 & 0.01 Cm2 in the first tomato (96gms), 1.38 Cm2 in second (40gms) and 1.47 Cm2 in third (20gms). All the spotted area were cut off and observed on Date 21.12.2020 at 2-3 P.M in the laboratory, Department of Botany, M.M.A.M. Campus, Biratnagar.

Banks often drive their cost lower through investments in efficient-scale facilities and operation, tight cost and overhead control, and cost minimizations in such areas as service, selling and advertising. They often sell no-frills, standardized services and products to the most typical customers in the industry. Thus, banks seek a competitively valuable way to reduce cost by concentrating and maintaining efficiency through all activities in order to effectively control every expense and find new sources of potential cost reduction. This study limited itself to the variables of interest. The secondary data was derived from Equity Bank data for a period of 2008 to 2016. The study was conducted in Equity Bank, Homa Bay Branch. This study employed a descriptive research design. The study was conducted at Equity bank and targeted 75 respondents. The researcher used a questionnaire as research tool to collect data. The researcher with the help of supervisor and research expert was able to use the Content Valid Index (CVI). Data was analyzed using descriptive and inferential statistics specifically frequencies, percentages, likert scale analysis and multiple regression. The data was presented using frequency tables, figures and Charts and then findings were interpreted. The findings of this study reveal Competitive strategies affect the performance of Equity Bank. The study recommends that the bank should encourage integration of competitive strategies in the bank operation system to enable employees to feel integrated in the workplace and this will boost performance. This will create sustainable competitive edge hence sustainable and superior performance by the bank. Further the study recommends a further study be conducted on the same area in different banks on the effect of competitive strategies on Banks’ performance.

This study is based on the primary data with of 300 sample respondents from SHG women’s operating at Khammam district, Telangana, From time immemorial mans endeavour has been for the upliftment can enrichment of society in recent times the single most important contributing to this advancement has been industrialization by bringing about social and economic development of the society. Industrialization can be achieved both by collective and individual efforts which are two different forms of entrepreneurship. Entrepreneurs and entrepreneurship. The objective this study is to make a comprehensive note on Group entrepreneurship among SHG Women in Khammam District and an attempt also made the problems and opportunities to Group entrepreneurship in today’s knowledge based economy.

Reliability assessment popularly known as Weibull analysis is an exercise primarily concerned with reliability estimation and prediction with which failure process of a system can better be analyzed. Many situations like modeling failure processes, decision of effective maintenance policy, estimation of maintenance float factors, downtime assessment and reduction greatly rely on the parameters of the life distributions fitted to the failure data. As the Weibull distribution involves transcendental equation, determining parameters is quite difficult task. To this effect, a Nomograph is developed and presented in this paper to closely determine the Weibull parameters. The paper articulates the development of Nomograph and procedure for its implementation. Results and discussions carried out proves statistically that the results obtained using the Nomograph are better than the commonly used its counterparts.

- A cloud consists of several elements such as clients, cloudlets, datacenter, distributed servers etc. While Cloud computing is a term, which involves virtualization, distributed computing, networking and software and web services. Centrally, the issue is to establish an effective load balancing in cloud. There are two types of load balancing algorithms available one is Static and other is Dynamic. In this paper we have studied three different Static load balancing algorithms i.e. Round Robin, Throttled, and Optimal. To compare each algorithm we have prepared a set-up and implemented each algorithm. Finally, an analysis has been done about the three implemented algorithms to find the best algorithm in terms of overall response time of cloudlet and Datacenter Processing time of cloudlet.