Archives-June...  

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.

In the present study, the mosquito density of three selected sites of Dindigul district viz., Sempatti, Chinnalapatti and J.K.Patti was surveyed. The results of the study indicate the presence of 10 species of mosquitoes which are grouped under four genera namely Aedes, Anopheles, Armigeres and Culex. The numbers of mosquitoes collected belonging to various species were low with an exception of Culex quinquefasciatus. The diversity measures (Shannon’s and Simpson’s) shows slight variation among the three selected sites studied. The Shannon’s index for Chinnalapatti is slightly higher (1.883) when compared to Sempatti and J.K.Patti (1.804 and 1.804). The Simpson’s index for Chinnalapatti is slightly higher (0.7994) when compared to Sempatti and J.K.Patti (0.7677 and 0.7579). In the study period, the maximum density of the mosquito population noted in the month of July and October. The minimum density of mosquito population obtained in the month of September.

In this paper, the author explains the nature and behavior of credit deposit ratio of scheduled commercial bank in India from 1980 to 2017 using RBI data. The paper showed trend line,structural breaks,cyclical behavior,volatility and forecast value of 2030 of credit deposit ratio.The paper explores cointegration and vector error correction models for credit deposit ratio,inflation rate,lending rate,GDP and NPA from 1996-97 to 2017-18 in Indian scheduled commercial banks and concludes that there are long run causalities from inflation,GDP, and NPA to lending rate and from credit deposit ratio, inflation rate and GDP to NPA which are significant. But,insignificant long run causalities were found from GDP, inflation, NPA to credit deposit ratio. Moreover, there are significant short run causalities from NPA to inflation rate and from GDP to NPA of scheduled commercial banks in India.