Archives-June...  

This research seeks to critically analyse the portrayal of the life of Gautama Buddha in the Zee TV serial Buddha telecast from 2013. The television serial presents itself as a didactic religious discourse and for the first time it offers to present Buddha’s teachings on the small screen. Through the narrative, the show successfully attempts to answer some of the fundamental questions which are essentially sought after by anyone on the path of eternal truth, like what is reality, what is one supposed to do in life, what is life, who are we, what is our goal of existence. The research also investigates the various ways in which the text serves to express spirituality in an approachable manner. It intends to look at how the show contributes to the first representation of Buddha on the small screen. The aspects explored do not include portrayal of characters and the acting prowess of the cast.

This study aims to bring forth some interesting research findings on an emerging field of entrepreneurial financing i.e. crowdfunding by focusing on the some recent advancement in the academic research. Since the inception of world’s pioneer crowdfunding platforms namely: Kickstarter, the scholars have turned their attentions towards this new emergent field of entrepreneurial finance. In crowdfunding, a vast number of people contribute in small proportions towards novel or innovative projects by using internet platforms. This study reveals that till now the research on crowdfunding mechanism has focused on developed markets; while the studies from developing markets are rare. Lastly, this study points out some interesting research gaps and provides future research directions. 

In this work, we explore the fuzzy soft matrix and their operations. In this report, we define intuitionistic fuzzy soft matrices and have inserted some new operators with weights. We then prove fuzzy soft algorithm that allows constructing those efficient decision making methods. In the end, we throw an example on the weighted harmonic mean for decision making problems. It indicates that the method can be successfully employed to many problems that contain uncertainties.

This paper is based on a real time embedded system using ARM7 processor LPC2138 to build a system that helps in achieving remote monitoring of patient's physiological parameters such as Body Temperature, Pulse Rate, Oxygen Saturation in blood and Electronic Cardiogram. If any of the patient's parameters go out of the optimum limits of the human body then an alert SMS is sent to the doctor using a GSM interface and the buzzer is activated on the patient's side to alert the patient's caretaker. The system comprises of low cost transducers for acquiring the parameters and uses MATLAB software to build the GUI for displaying the ECG of the patient on a computer. This system eases the need to keep a patient requiring continuous monitoring at the hospital. The monitoring is achieved by allowing the patient to stay at home.

Current FPGA soft processor systems use dedicated hardware modules or accelerators to speed up data-parallel applications. This work explores an alternative approach of using a soft vector processor as a general-purpose accelerator. Due to the complexity and expense of floating point hardware, these algorithms are usually converted to fixed point operations or implemented using floating-point emulation in software. As the technology advances, more and more homogeneous computational resources and fixed function embedded blocks are added to FPGAs and hence implementation of floating point hardware becomes a feasible option. In this research we have implemented a high performance, autonomous floating point vector co-processor (FPVC) that works independently within an embedded processor system. We have presented a unified approach to vector and scalar computation, using a single register file for both scalar operands and vector elements. The FPVC is completely autonomous from the embedded processor, exploiting parallelism and exhibiting greater speedup than alternative vector processors. The FPVC supports scalar computation so that loops can be executed independently of the main embedded processor.

This study investigates the design of the structural model of human resource management in the yeast industry of country. The population of this study is all the employees of the state (1145 people) which 288 people were selected using the probable sampling method of class and using the Cochran formula for samples. Data were collected with the help of questionnaire and their analysis was carried out by conducting structural equation test and factor analysis in Amos software. The results show that there is positive and meaningful relation between human resource management systems, job satisfaction and organizational loyalty. Job satisfaction also plays an intermediary factor between human resource management and organizational loyalty. Therefore, managers are offered to pay attention to the effective role of human capital in advancing organizational excellence in the design of their strategic goals, and to engage employees in the different decision-making to be consistent with the desire to participate in organizational activities and loyalty.

The assessment of heavy metals (Hg, Cu, Pb and Cd) by means of a Peroxidase - based assay is here presented. The method is based the inhibition of peroxidase activity by heavy metals. Measurements were made spectrophotometrically via the catalytic oxidation of guaiacol in the presence of H2O2. Preliminary characterization and optimization of the assay system revealed enzyme activity of 130 U/ml, Vmax of 0.178mM/min and Km of 0.184mM. Optimal reaction time was found to be 7 minutes; optimal pH was 6 and temperature was 40°C. Inhibition-based estimation of heavy metal ions was evaluated via calibration curves of metal concentration against %inhibition of peroxidase activity. The assay revealed detection limits between 0.006 – 0.045mg/L for the metals and repeatability in the range of 2.3 – 5.4% RSD. Application of the method to water analysis revealed percentage recoveries between 76.0 – 124.0%. Overall, the method showed good potential for further use in the biomonitoring of heavy metal pollutants

This study concerned the study of the diatomic flora of the Djubudjubu stream in the urban region of Kisangani (Tshopo/ DRC). Samples were taken at the source, in the middle and at the outfall of the stream. The results obtained revealed a great diversity of 119 species, 38 genera distributed in 24 families. The source contained many species (51 species) than the other stations. The Shannon and Weaver biodiversity indices revealed a great diversity. The Evenness index showed an equipartition of species. The species Pinnularia sp8 and Nitzschia palea are the most abundant (13.68 and 10.25% respectively). The specific relative abundance is very high at the source (42.69%) than at the other stations. The different groupings of species and samples depend on their environment having similar ecological conditions at the different stations.

Hiding the information is a vital issue in the 21st century in the field of Data Communication security .It is an important issue because the virtual and digital information transmission faces critical setbacks due to hacking and hackers threats. The transmission of information via the Internet may expose it to detect and theft. So data embedding technologies are developed to provide personal privacy, commercial and national security interests. In this work we consider the problem of extracting blindly data embedded over a wide band in a spectrum (transform) domain of a digital medium (image, audio, video).We develop a novel multicarrier/signature iterative generalized least-squares (M-IGLS) core procedure to seek unknown data hidden in hosts via multicarrier spread-spectrum embedding. Here the original host and the embedding carriers both are assumed as not available. Experimental results shows that the proposed algorithm can achieve recovery probability of error close to what may be attained with known embedding carriers and host autocorrelation matrix.

Mobile Ad hoc Networks is a collection of wireless mobile nodes, which form temporary networks without relying on any existing infrastructure or centralized administration or standard support services regularly available in wide area networks to which the host may normally be connected. In this paper we proposed new distance vector routing algorithm (DVRA) for detecting and correcting the black hole and grey hole attack made by intruding nodes.