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The objective of this web application is to develop a system to conduct online tests in various domains and functional areas. The purpose is to enable a fast evaluation of applicant’s skills and abilities. Online Analytical Examination is the application useful to conduct online examination for an organization, Academic institutions and training centers. It is an excellent test management, which offers a complete solution for Computer Based Test (CBT). It keeps all the records of conducted exams, score reports and other info.The aim of “Online Analytical Examination” system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of online exam is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results for students the paper are given to students as their convenience and time and there is no need of using extra thing like paper, pen etc.

EFFECTS OF STRESS IN EMPLOYEE PERFORMANCE AT HOTEL ACCORD PUDUCHERRY In recent years the rise in stress has seen across all spheres of life, particularly in the Workplace. Stress in organizations is a widespread phenomenon with far-reaching practical and economic consequences. Various studies have been conducted to examine the relationship between job stress and job performance. Job performance can be viewed as an activity in which an individual is able to accomplish the task assigned to him/her successfully, subject to the normal constraints of reasonable utilization of the available resources. In carrying out the study, convenience sampling technique was used to select 80 employees of the HOTEL ACCORD who have worked at least 3 years. Relevant data were collected using a structured questionnaire. The researcher found by using appropriate statistical tools to test the hypothesis. Based on these findings, strategies are suggested to reduce the level of stress among employees in the research area.

Environmental pollution has been a major irritant to industrial development. Chemical and chemical based industries are prime targets of the environmentalists for their crusade against pollution. Leather industry contributes to one of the major industrial pollution with the generation of pollutants causing chemicals namely lime, sodium sulphide, salts, organic solvents and phenolic compound. Leather industry has faced serious challenges on phenolic compounds. Thus this work focused on evaluation of biodegradation of phenol by using microaerophilic bacterial consortium to overcome the deleterious effect of chemical effluents to the environment. This biodegradation process will be ecofriendly and cost effective. This could be one of the ways of solving the industrial pollution resulting from tannery effluent. Tannery effluent with high phenol level fed in both batch reactor and continuous reactor by using sustainable Microaerophilic Bacterial consortia to degrade the phenolic compounds.

Nutrients are considered as one of the most important parameters in the estuarine environment influencing growth, reproduction and metabolic activities of living beings. The results of an investigation carried out during March 2010 to August 2010 on physico-chemical and diversity of phytoplankton and zooplankton at the Manakkudy estuary (Southwest coast of India) were reported. Presence of Mangrove forest gives a helping hand in the maintenance of biodiversity and increase in fauna and flora of Manakkudy estuary (Brackishwater). Presently, 66 phytoplankton species representing different classes, viz., Bacillariophyceae (25); Chlorophyceae (18); Cyanophyceae (10); Dinophyceae (8) and Euglenophyceae (5) were recorded. Totally 93 species of zooplankton viz., Rotifera (42); Protozoa (24); Arthropoda (12); Cnidaria (11) and Annelida (4) were identified.

A novel depicts a wide range of imaginary characters concerning the behaviour of human beings in real life. An individual who takes delight in interpreting novels can gain knowledge and obtain worldly wisdom. Also, since the reader is exposed to several situations, most of them being real-life circumstances, he/she gets an opportunity to acquire and enhance the soft skill sets required for both personal and professional lives. What is resolutely believed by the employers and colleges these days is that a student of technology must possess few most important identities of soft skills which cannot be overlooked, especially the soft skills like communication skills, leadership qualities, time management, interpersonal skills and presentation skills. Offering training in soft skills through children’s literature facilitates the students in putting up their behavioural skills in a superior style.

Wireless Sensor networks are dense wireless networks of small, inexpensive, low-power, distributed autonomous sensors which accumulate and propagate environmental data to facilitate monitoring and controlling of physical environments from remote locations with better accuracy. With the advent of new technology and low production costs, wireless sensor networks (WSN) prove to be useful in myriad of diversified applications, although its original development was motivated by military applications, such as battlefield surveillance. This paper describes the software architecture of an intelligent autonomous gateway, designed to provide the necessary middleware between locally deployed sensor networks based on mobile node and a remote location. The gateway provides hierarchical networking, auto management of the mobile wsn (MWSN), alarm notification and SMS/Internet access capabilities with user authentication. The main concern of QoS-based quadratic assignment technique is to increase reliability of network along with lifetime of the network. Several factors such as energy lifetime, throughput, end to end delay, packet delivery ratio and network security have been taken into consideration. Simulation results shows that the protocol offers a better performance in terms of network lifetime and energy consumption.

We have given in this paper a fairly decent introduction to the importance of the study of centrality measures of distance graphs. We have discussed at length several concepts with a number of interesting examples and highlighted interesting results. Then, the scope of practical applicability of these concepts is also indicated.

There are many researches that have been proposed for embedding data into digital video. However, most of those schemes extending data hiding technique for still images to videos by treating each single frame as a still image and embed data in intra-frame. In this paper, we propose an effective data-hiding scheme that embeds data in digital videos using the phase angle of the motion vector of the macro blocks in the inter-frame. The scheme can be applied to either compressed or uncompressed videos. Furthermore, the embedded data can be extracted directly without using the original video sequences. Our experimental results prove the feasibility of the proposed method. The method is implemented and tested for hiding data in natural sequences of multiple groups of pictures and the results are evaluated. The evaluation is based on two criteria: minimum distortion to the reconstructed video and minimum overhead on the compressed video size. Based on the aforementioned criteria, the proposed method is found to perform well and is compared to a motion vector attribute-based method from the literature.

Distance learning over the past several years has gained in popularity not only as a way to offer instruction in locations without local expertise, but also as a cost effective method where limited enrollment at one location would not normally warrant offering the course. In this paper, we use the embedded board with interface module to implement a remote electronic measurement system which includes the power supply, signal generator and oscilloscope. This design uses an embedded board to replace a computer, since the embedded board has the advantage of being easily carried, a real-time operation, a low cost, and programmable. In addition users can operate this measurement system with the help of the operating system and the TCP/IP modules to connect to the Internet. By using the on board operating system, our design provides the step by step function to help user operate, such as keying in the waveform parameters with the embedded board keyboard, providing the waveforms and then connecting the circuit to the embedded electronic measurement system. This design can also show the waveform measured by the embedded measurement system in the embedded board LCM (Liquid Crystal Monitor). Because the file size of measured waveforms is very small around 1 KB, the prototype system show that the main delay time to receive the measurement waveform at the server site from the client site is within 2.5 seconds In the server, the observers can observe many waveforms from the different clients. If the client’s waveform is error, the observer can also send the required waveforms to the client’s embedded measurement system and input these waveforms to the testing circuits and re-observe the circuit measurement and help the user to debug.

FT-IR and FT-Raman spectra of 2-amino-4-pyrimidinol (2A4P) have been recorded. The spectra were interpreted with the aid of normal coordinate analysis following full structure optimizations and force field calculations based on density functional theory (DFT) using standard B3LYP/6-311+G** method. Normal coordinate calculations were performed with the DFT force field corrected by a recommended set of scaling factors yielding fairly good agreement between observed and calculated frequencies. Further, density functional theory (DFT) combined with quantum chemical calculations to determine the first-order hyperpolarizability.

The FT-IR and FT-Raman spectra of P-Chloroaniline (PCA) have been recorded and analyzed. The optimized geometry, and harmonic vibrational wave numbers of PCA have been investigated with the help of B3LYP scaled quantum mechanical (SQM) method supplemented with 6-311++G** basis set. The infrared and Raman spectra were predicted theoretically from the calculated intensities. The observed and simulated spectra were found to be well comparable. In the investigation, we adopted density functional theory (DFT) combined with quantum chemical calculations to determine the first-order hyperpolarizability.

The cyclic voltammetric measurement and molecular interaction studies using ultrasonic technique of Cu(II),Ni(II) and Pb(II) complexes of  8-[2-Methoxy-5-(propane-1-sulfonyl)-phenylazo]-naphthalene-1-ol using DMSO, were carried out at 303 K. The cyclic voltammetric were carried out at a stationary platinum electrode in DMSO with 0.1M tetrabutylammonium per chlorate (TBAP) as a supporting electrolyte. The measured values of ultrasonic velocity, density, acoustical parameters, adiabatic compressibility and free length are evaluated. From the properties of these parameters the nature and strength of the interactions in these complexes and oxidation, reduction behaviors were discussed.

Modeling of steady magnetohydrodynamic viscous incompressible fluid flow through a porous medium between two disks rotating with same angular velocity about two non-coincident axes has been discussed taking into account the injection/suction, radiation and temperature dependent variable thermal conductivity. An exact solution of the governing equations has been obtained in a closed form by using perturbation along with dsolve Mat lab software tool to attain an analytical result for the velocity and the temperature profile. Analysis of the flow characteristics has been performed graphically by varying Hartmann number (M),I injection /suction parameter (?), permeability parameter (Kp), rotation parameter, Prandtl number (Pr), radiation parameter (R) and the variable thermal conductivity. The Skin friction coefficients are presented in pictorial from (11) to (16) and, discussed in detail.

Alkylation reactions of phenol with dimerization products of devinylated C4-fraction obtained by the pyrolysis of low-octane gasoil were studied in the presence of KU-23 catalyst. Alkylation reaction was carried out on the continuous unit. As a result of alkylation reaction, it was studied the influence of temperature, time, initial components mol ratios and catalyst amount on the yield and selectivity. From the results of the researches it’s evident that alkylation of phenol pyrolysis process with dimerization products of C4-fraction in the presence of KU-23 catalyst are carried out under the following conditions: tempe¬rature 120°C, mole ratio of phenol to the fraction - 1:2, reaction time - 5 hours and catalyst amount - 10%. In this case the yield of the target product on phenol was 80.4%, and selectivity on the target pro¬duct was 95.7%.

Today software quality is an consequential parameter and to produce high quality reliable software and to keep a specific time schedule is a big challenge. There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. To overcome the challenge many methodology and practices of software engineering have been evolved for developing reliable software. Improving algorithms of directing the manner of software development are underway. Order statistics are used in a broad category of exercised assignments their application in improvisation problems, determination of outliers, linear estimation. In this paper we proposed the detecting the exponential reliable software using SPRT on time domain data based on Ordered Statistics approach. The unknown parameters can be estimated using the Maximum Likelihood Estimation (MLE).

The paper presents a new approach to the classification of rolling element bearing faults by implementing Artificial Neural Network. Diagnostics of rolling element bearing faults actually represents the problem of pattern classification and recognition, where the key step is feature extraction from the vibration signal. Characterization of each recorded vibration signal is performed by a combination of signal's time-varying statistical parameters and characteristic rolling element bearing fault frequency components obtained through the frequency spectrum analysis method. The experimental data is collected for four bearings at three different speeds. The sensor is located at three different positions for each bearing. Both time domain and frequency domain signals were measured. Thus the data was three time spectrums and three frequency spectrums for each speed for a bearing. The entire data set comprised of 72 (6 x 3 x 4) data. The time domain signal was comprised of 8192 samples and extracting these features from a huge data set was difficult. To overcome this difficulty the 8192 samples were split into 32 bins each containing 256 samples. The entire process of splitting and evaluating the seven features was coded in MATLAB. From these seven features the most suitable features for explaining the intensity of the defect is discussed.

Thin film patterned CdS is considered to be as the most promising semiconducting materials among various structures because of its tunable physical properties which leads the material to the recent applications such as solar cells, sensors, hydrogen storage devices, modulators etc. Moreover, in order to form CdS thin films chemical bath deposition techniques is one of the easiest method among various techniques. It is due to the fact that it has many advantages such as simplicity, no requirements for sophisticated instruments, minimum wastage, economical way of large area deposition, no need of handling poisonous gases and possibility of room temperature depositions. With these advantages in mind an attempt has been made to deposit device quality CdS thin films at various temperatures by CBD technique. The thicknesses of the deposited films have been determined by gravimetry. The structural characterization is carried out by X-ray diffraction. The study confirms the polycrystalline nature of films with hexagonal structure. The structural parameters such as grain size, dislocation density, strain and lattice parameters have been evaluated. The composition of various constituents in CdS films have been determined by energy dispersive X-ray analysis. The optical properties like optical transmittance, band gap and refractive index has been studied in detail for the CdS films of various thicknesses.

The study focused on the design of an acoustic enclosure for 12.5 kVA diesel generator with an objective to minimize the noise level to a moderately loud sound level. Factors which affect noise reduction and heat management were considered. The study revealed that the loss in transmitted sound amounted to 20dB from the initial 95dB without an enclosure, with the insertion loss being 48.6%. The analysis of the transfer of the sound wave revealed that the frequency of the incident wave was lower than the critical frequency of the enclosure, this signifies that the enclosure will not resonate during operation. The heat generated within enclosure is 19280.806kW and this will cause the maximum temperature of the cylinder head to be exceeded. To avert this, acoustic holes where designed to allow a mass flow rate of 0.57kg/sec of air to pass through the enclosure, conducting the excess heat away.

Occurrences of certain defects are inevitable despite meticulous planning, proper process control, and good documentation during software development. Such defects lead to quality degradation which can be the underlying reason for failure. Conscious efforts are required to control and minimize software engineering defects, but this costs money, time and resources. Predicting defective software module facilitates maintenance and corrective measures. In Software Defect Prediction (SDP), predictive model estimation is based on code attributes to assess software modules containing errors likelihood. This study proposes improved activation function based on cubic spline for Multi-Layer Perceptron Neural Networks (MLPNN) to classify SDP. The proposed method is evaluated using KC1 dataset.

The present study is an attempt to find out appropriate ARIMA model by using Box-Jenkins methodology to forecast the export/import of wood based panel in India on time series data for a period of 16 years from 1996-97 to 2011-12. Test criterion like lowest Bayesian Information Criterion (BIC), R2 value and lowest of mean absolute percentage error (MAPE) are applied to predict the accuracy of the model. This study found ARIMA (0,1,0) with R2: 0.83 for the export and ARIMA (0,1,1) with R2: 0.87 for the import to forecast of export/import of wood based panel. The estimated export and import of wood based panels in the year 2020 would be increased by 170% and 127% in respect to 2012.

This study offers a brief overview of the export and import of wood based panelin India. The statistical parameters such as descriptive analysis, trends, graph and regression analysis have been computed to understand the nature of wood based panels export and import with top 25 countries on the basis of five year assessment, which is accounts 87.7% (1997-1998 to 2001-2002), 89.5% (2002-2003 to 2006-2007) and grow to 91% (2007-2008 to 2011-2012). The result of regression analysis demonstrate high R20.86 in export and 0.97 in import with correlated GDP, FDI and PC-NDP. The wood based panel’s viz. veneers, plywood, fibre boards, particle boards have also been examined for their trends.

A study on women’s involvement and their training needs in rice cultivation and in Chatra district of Jharkhand was studied in five selected villages one each from five selected blocks i.e. Kunda, Partappur, Simariya, Tandwa and Hunterganj covering 250 respondents. Results indicated that harvesting was the activity in which farm women were mostly involved followed by transplanting, weeding, seed selection and treatment, sowing and nursery raising and seed grain storage with weighted mean scores of 2.56, 2.57, 2.38, 2.25, 2.18, 1.96 and 1.37 respectively. Plant protection was rated first training need followed by seed and grain storage, land preparation, seed selection and treatment and sowing and nursery raising with weighted mean scores of 2.36, 2.24, 2.20, 2.08, 2.04, 2.01 respectively.

Patterns of crop diversification of modern agricultural technology, especially during the period of the Green Revolution in the late sixties and early seventies, there is a continuous surge for diversified agriculture in terms of crops, primarily on economic considerations. Indian agriculture is increasingly getting influenced more and more by economic factors. This need not be surprising because irrigation expansion, infrastructure development, penetration of rural markets, development and spread of short duration and drought resistant crop technologies have all contributed to minimizing the role of non- economic factors in crop choice of even small farmers. What is liberalization and globalization policies are also going to further strengthen the role of price related economic incentives in determining crop composition both at the micro and macro levels. Obviously, such a changing economic environment will also ensure that government price and trade policies will become still more powerful instruments for directing area allocation decisions of farmers, aligning thereby the crop pattern changes in line with the changing demand-supply conditions. In a condition where agricultural growth results more from productivity improvement than from area expansion, the increasing role that price related economic incentives play in crop choice can also pave the way for the next stage of agricultural evolution where growth originates more and more from value- added productions.

The notion of --closed set was introduced and studied by R. Devi, V. Kokilavani and P. Basker [2]. In this paper, we introduce the concept of a -sets and studied the associated separation axioms.

Single crystals of 2-methyl-6-nitroaniline of reasonable size and excellent quality were grown by the low-temperature solution growth method using methanol as a solvent. Supersaturation was established by lowering the temperature at a rate of 0.2°C/hr. The powder XRD of the samples suggested no significant change in the unit cell dimensions and the presence of any extra phase. The structural analysis and infrared spectroscopy can be useful in the clarification of the role of hydrogen bonds in crystals exhibiting non-linear optical properties. It has found that these crystals have transparency from UV to Far-IR wavelength region. Powder Kurtz-Perry measurements were performed for the investigated material. The efficiency of second order susceptibility was estimated relative to urea: deff = 8 urea. The dependence of the birefringence of the investigated crystal was studied with respect to the applied dc field and the results were discussed.

2-methoxy-1-naphthaldehyde (2MN) an intriguing new organic material for frequency conversion has been grown by slow evaporation solution growth technique at room temperature. Their structural, optical and physicochemical properties were characterized by X-ray powder diffraction, FTIR and UV-Vis spectra. The crystal belongs to monoclinic system with point group m and space group Cs. The material has a wide transparency in the entire visible region. It is found that the cutoff wavelength lies in the UV region. The mechanical response of the crystal has been studied using Vickers microhardness technique. The SHG relative efficiency of 2MN crystal was found to be 12 times higher than that of KDP and 1.6 times higher than that of Urea.

Dipotassium sodium tetraborate octahydrate- K2Na[B4O5(OH)4]2 .8H2O (KNB) is an intriguing crystal for laser frequency conversion. It was grown by slow evaporation solution growth technique at ambient temperature. The investigated crystal is crystallized into noncentrosymmetric orthorhombic axial P212121 space group. Fundamental optical phonon modes were identified and the assignments were proposed.The dependence of second order optical susceptibilities with the applied d.c field strength for two principal geometries was studied. Piezooptical coefficients for the diagonal Pxxxx and off-diagonal Pxxzz tensor components under applied dc-field also were measured and discussed. Correlation between the anisotropy of the obtained spectra and of the observed nonlinear optical susceptibilities was established.

The spin coating method was used for the preparation of ZnS, Mn doped ZnS (MZS) and Cobalt doped ZnS (CZS) thin films and their structural and optical properties were studied. The ZnS thin films were grown on well cleaned glass substrates by spin coating method from aqueous solution of Zinc Sulphide and Thiourea with two different dopants Mn and Co. The properties of ZnS, MZS and CZS thin films and their growth mechanisms were studied using x-ray diffraction, UV-Visible spectroscopy, photoluminescence and VSM studies. Effect of dopants on structural, optical and magnetic properties was reported. Keywords: ZnS, Spin Coating, Dopants, Structural, Optical and magnetic properties.

This paper proposed a modified ratio-cum-product estimators of finite population mean using information on coefficient of variation and co-efficient of kurtosis of auxiliary variable in Stratified Ranked Set Sampling (SRSS). It has been shown that this method is highly beneficial to the estimation based on Stratified Simple Random Sampling (SSRS). The bias and mean squared error of the proposed estimators are derived. Theoretically, it is shown that these suggested estimators are more efficient than the estimators in Stratified simple random sampling. The results have been illustrated by numerical examples.

The growing concern due to environmental pollution caused by the conventional fossil fuels and the realization that they are non-renewable have led to search for more environment friendly and renewable fuels. Among various options investigated for diesel fuel, biodiesel obtained from vegetable oils has been recognized world over as one of the strong contenders for reductions in exhaust emissions. In this present experimental work is carried out the performance and emission characteristics of diesel and biodiesel (Mahua) is analyzed. The results of depicts B20 Mahua blend of biodiesel is having the better characteristics in terms of performance and emission.

In this paper, we have studied some of the properties of multi fuzzy rw-continuous mappings and multi fuzzy rw-irresolute mappings in multi fuzzy topological spaces and have proved some results on these. 2000 AMS SUBJECT CLASSIFICATION: 03F55, 08A72, 20N25.

In this paper, we study some of the properties of multi intuitionistic fuzzy rw-open mappings and multi intuitionistic fuzzy rw-closed mappings in multi intuitionistic fuzzy topological spaces and prove some results on these.

The unsteady state mass conservation equation for chlorine concentration decay in drinking water in a pipe line network for axisymmetric flow is solved analytically with the help of Hankel transform. The numerical values and graphical representations are shown by using MATLAB for various values of chlorine consumption rate, diffusivity, time and fluid velocity etc.

In this analysis , experimental values of densities (?) and dynamic viscosities (?) in the binary mixtures of n-hexane, n-heptane and n-octane with diethyl malonate are reported over the whole range of mixture composition at T = (303.15, 308.15, 313.15 and 318.15) K. From these data, deviations in viscosity (??) and excess Gibbs free energy of activation of viscous flow (?G*E) have been evaluated. These results were fitted to Redlich–Kister polynomial equations to estimate the fitting coefficients and standard deviation. The results of the viscosity composition are discussed in the light of various viscosity equations suggested by Grunberg-Nissan, Katti-Chaudhri, Heric-Brewer and Hind et al. The deviation of the experimental values of the viscosity of the mixture from the mole fraction mixture law rules, are found to be negative and follow the order n-hexane < n-heptane < n-octane. The experiments on the constituted binaries are analyzed to discuss the nature and strength of intermolecular interactions in these mixtures.

Cadmium Sulphide (CdS) thin films of different thickness are prepared by the chemical bath deposition technique on well cleaned glass substrates at various temperatures. The thicknesses of the deposited films have been determined by gravimetry. The structural characterization is carried out by X-ray diffraction. The study confirms the polycrystalline nature of films with hexagonal structure. The structural parameters such as grain size, dislocation density, strain and lattice parameters have been evaluated. The composition of various constituents in CdS films have been determined by energy dispersive X-ray analysis. The optical properties like optical transmittance, band gap and refractive index has been studied in detail for the CdS films of various thicknesses which would be a promising material for the photo-voltaic applications. This paper deals with structural and optical properties of chemically deposited CdS films at the temperatures 600 C and 700 C  with the composition of CdCl2 in aqueous solution 0.2 gm and 0.3 gm.

In the world, day to day increases consumption of energy with increase the production rate of automobile. With the current consumption rate if it has been quoted that there will be great shortage of petroleum products in upcoming decades. For this reason research is going on alternative fuels. It is better to develop the engine which can work on bio diesel and one can add methanol in the bio diesel and use the blends of that. For this purpose, it is necessary to check the performance characteristics of the blends with the conventional diesel fuels.In this investigation, rice bran methyl ester was used in four stroke, single cylinder variable compression ratio type diesel engine. Tests were carried out at different injection pressures with various blends of rice bran methyl ester. The results proved that the use of bio diesel (produced from rice bran oil) in compression ignition engine is a viable alternative to diesel.

Nowadays, biodiesel is considered the most promising alternative fuel by the researchers due to its comparable properties with diesel fuel and also other socio-economic and environmental benefits .The investigation was conducted on a single cylinder four stroke variable compression ratio diesel engine fuelled with pure diesel, B10% (5% Methanol+ 5% Rice bran oil + 90% Diesel), 20% (5% Methanol+15% Rice bran oil +80% Diesel) and 30% (5% Methanol+25% Rice bran oil+ 70% Diesel) at different loads, at different compression ratios and at different injection pressures. The water heat loss, exhaust heat loss and unaccounted heat loss decreased with the increase of biodiesel percentage in the blends. The heat balance was in respect of useful work (HBP), heat lost through cylinder jacket water (HJW), heat lost through exhaust gasses (HGas), heat carried away by the lubricating oil and other losses (Hrad). This research work provides an in-depth analysis of the engine heat losses in different subsystems of the engine. Finally, heat energy balancing of the engine has been done by showing all energy flows in and out of the engine.

Front line demonstrations on rain-fed direct seeded upland rice were carried out by Krishi Vigyan Kendra, Simdega, Jharkhand. To demonstrate the improved technologies, frontline demonstrations were conducted in farmers fields. The objective was to show the potentiality of technologies along with package of practices analyse the constraints to provide feedback to the research system. The demonstration were conducted by selecting technologies on the basis of agro-ecosystem analysis through using PRA tools.. Intervention points were identified by consultation with farmers from problem- cause diagram. The deciding factors for selecting technologies under demonstrations were yield gap and percentage of farmers not following the recommended improved practices. Based on the finding it may be concluded that the top-down approach should be avoided and scientist- farmer interaction should be operationalised for programme formulation, implantation and assessment. This approach led to selection of right interventions for convincing the farmers in a better way about the production potentials of selected technologies. Due to selection of better technologies yield advantage was received to an extent of 58.9 %.

Waste plastics are one of the most promising resources for fuel production because of its high heat of combustion and due to the increasing availability in local communities. Unlike paper and wood, plastics do not absorb much moisture and the water content of plastics is far lower than the water content of biomass such as crops and kitchen wastes. The conversion methods of waste plastics into fuel depend on the types of plastics to be targeted and the properties of other wastes that might be used in the process. Additionally the effective conversion requires appropriate technologies to be selected according to local economic, environmental, social and technical characteristics. In general, the conversion of waste plastic into fuel requires feedstocks which are non-hazardous and combustible. In particular each type of waste plastic conversion method has its own suitable feedstock. The composition of the plastics used as feedstock may be very different and some plastic articles might contain undesirable substances (e.g. additives such as flame-retardants containing bromine and antimony compounds or plastics containing nitrogen, halogens, sulfur or any other hazardous substances) which pose potential risks to humans and to the environment. Pyrolysis is the thermal disintegration of carbonaceous material in oxygen-starved atmosphere. When optimized, the most likely compounds formed are methane, carbon monoxide, hydrogen carbon dioxide and water molecules.the yields of different products depend very much on the process variables. The pyrolytic oil can be blended with the conventional liquid fuels. The pyrolytic waste disposal will also mitigate the problems of environmental pollution.

To evaluate the financial conditions and performance of a company, the financial analysis needs certain yardsticks. Among the variables, tools are employed in analyzing the financial information contained in the financial statements. Ratio analysis is a widely used tool, which is relevant in assessing the performance of a firm in respect of liquidity position, long-term, solvency. In additional to this, it helps to predict the financial distress of the business. An attempt has been made in the present study to have an insight into the examination of financial health of the organization using Z-Score analysis.

Marketing is intensifying as the various sectors recognize the marketing contributes to the improved performance in the market place. The markets offers a variety Tupperware to consumer. The media plays a vital role in helping manufactures to promote and find marke for their products. The focus is trying to capture the market by motivating consumer and not the market. Hence a complete understanding as the consumer’s preference their attributes to a particular brand is necessary. This research therefore aims at finding to the reason behind why consumers in the society are willing to use Tupperware brand

Loyalty to the brand is very important subject from marketing strategy perspective, especially as current markets are marked by its passing through a so high mature phase and intensive competition, whereas keeping the customers loyal to the brand is very crucial for the survival and continuity of the organization. Brand-loyal consumers may be willing to pay more for a brand. This strategy considered a more effective and efficient way than attracting a new customer. Similarly, brand loyalty leads to greater market share when the same brand is repeatedly purchased by loyal consumers consequently; the brand is the sole distinguishing factor among competing and similar products. Hence a study is made on brand loyalty of Hair oil among college students.

In this study, we used ten medicinal plants (Azima tetracantha Lam. (Salvadoraceae ), Corchorus aestuans Linn.(Tiliaceae), Garcinia mangostana Linn. (Guttiferae), Guazama ulmifolia Lam. (Sterculiaceae), Cardiospermum halicacabumLinn. (Sapindaceae), Pimenta dioica Lindl.(Myrtaceae), Phyla nodifera (L) E.Greene (Verbenaceae), Scoparia dulcis Linn. (Scrophulariaceae), Croton bonplandianus Baillon (Euphorbiaceae), and Clerodendrum inerme Linn. (Verbenaceae) were screened for its potential antibacterial activity against clinically important microbial pathogens like Staphylococcus aureus, Streptococcus pyogenes, E. coli, Proteus mirabilis, Salmonella typhi, Pseudomonas aeruginosa and Klebsiella pneumoniae. The antimicrobial activity was determined in organic (Petroleum ether, Benzene and Chloroform), alcoholic (methanol) and aqueous extracts of these ten medicinal plants. The aqueous extracts showed minimum antimicrobial activity when compared to other extracts. The methanolic extracts of P.dioica showed the maximum activity against Staphylococcus aureus. The present study suggested that these medicinal plants represent may be used to find bioactive compounds from natural products that might lead to the development of new drugs against bacterial diseases.

Game-theoretic approach is common in supply chain management to analyze the effect of controllable factors on the decision parameters. This study examines a combination of a long-term contract and a penalty contract for multiple periods between a single supplier and a retailer. Demand is stochastic but uniformly distributed over the selling seasons of periods. Supplier’s capacity decision is required to be taken at the beginning of period before the retailer placing the order. The supply chain performance is observed by analyzing committed order quantity and the sole total profits of supplier and retailer.

In this paper we designed optical wired DWDM based OFDM design and simulation .The system whole setup is achieved by DWDM-OFDM for prefect SSMF optical wired communication (OFC) for 60 KM, using Due to increasing data traffic in network its required to design high effective spectral transmission. Here we implemented design with OFDM-DWDM due to own high spectral efficient property of 60 Gbps using 4- QAM.

An algorithm for computing a discrete generalized Hankel-Clifford transform is presented in this paper. In the solution of certain types of differential equations this algorithm can provide a major improvement in speed and accuracy over previously described methods. An application to a particular form of the transport equation relevant to a class of problems in electron scattering is given.

There are many ways to minimize the failure of the structures made up of reinforced concrete. The custom approach is to adhesively bond fiber polymer Composite on to the structure. This also helps to increase the toughness and tensile strength & to improve the cracking & deformation characteristic of the resultant composite. But this method adds another layer, which is prone to degradation, when exposed to marine environment due to surface blistering. As a result adhesive bond strength is reduced, which results in the de-lamination of composite. So, the approach is to use fibers in concrete known as FRC. This method of reinforcing the concrete substantially alters the properties of non-reinforced cement based matrix which is brittle in nature, possesses little tensile strength compared to the inherent. Compressive strength.

The major challenges in automatic multimodal image registration are the in consistency in intensity (or) contrast patterns and the existence of non overlapping regions between images. Also presence of high non-homogeneous image contrast makes it very difficult to compare the image contents. The proposed method is using a phase representation derived from Dual Tree Complex Wavelet Transform as similarity metric for registering multimodal images. This method uses a transformation that minimizes the residual error between phase representations of two multimodal images. Sub pixel level local optimization techniques are used to improve the stability in handling situations like small initial overlapping between images. This method has been tested on various multimodal images. This technique has better accuracy than existing registration techniques even in the presence of image non-homogeneity and inconsistency in intensity patterns.

Multimodal Image Fusion techniques combine information from different sensors together to produce a more accurate and efficient representation which is more useful for further analysis. A Multi resolution based Multimodal Image Fusion Algorithm is this paper, an automatic algorithm based on multi resolution technique for fusing multimodal images is proposed. The multimodal images are decomposed using the Dual Tree Complex Wavelet Transform and Contourlet Transform and they are fused using some efficient and robust fusion rules. Finally, they are reconstructed using the Inverse transform and a new fused image with more information content is obtained. The basic idea of all multiresolution fusion schemes is motivated by the human visual system being primarily sensitive to local contrast changes, e.g. the edges or corners. These techniques also provide better directional information. The DT-CWT and Contourlet Transform methods are good at faithfully retaining the salient structural information present in both the multimodal images.

There has been a wide variety of research going on in the field of privacy preservation in data mining. Most of the methods are implemented for static data. But the world is filled with dynamic data which grows rapidly than what we expect. No technique is better than the other ones with respect to all criteria. This paper focus on a methodology that is well suited for incremental data that preserves its privacy while also performing an efficient mining .the method does not require the entire data to be processed again for the insertion of new data. The method uses data summarization technique which is used for both incremental data and providing privacy for such data. We develop the algorithm for making the environment flexible and cost effective.