The present study was aimed to investigate the relationship between counterproductive work behaviour (CWB) and person-organization fit (P-O Fit) within the context of manufacturing industry situated in Baddi, Himachal Pradesh. The sample comprised 300 employees of production department (150 male and 150 female respondents). The analysis revealed that for the total sample, Interpersonal Similarities (12%) and unique roles (4%) have contributed 16% of variance in totality for Organizational-Counterproductive Work Behaviour and for Interpersonal-Counterproductive Work Behaviour, Unique Roles (4%) and Value Congruence (2%) contributed for 6% variance in totality. In Males sample, Unique Roles explained maximum variance (12%) followed by Need Supplies (5%) and Interpersonal Similarities (3%) for Organizational-Counterproductive Work Behaviour. For Interpersonal-CWB only Unique Roles have turned out to be a significant predictor which accounted for 5% of variance. In Females sample, Interpersonal Similarities explained maximum variance (16%) followed by Demand Abilities (4%) in total these predictors accounted for 20% variance for Organizational-Counterproductive Work Behaviour. For Interpersonal-Counterproductive Work Behaviour Demand Abilities have explained the maximum variance (8%) followed by Need Supplies (4%). The results have shown the commonness of one variable viz. Interpersonal Similarities in predicting Organizational-Counterproductive Work Behaviour of both the genders. Further, t-test revealed no significant difference between males and females on the variables of Value Congruence, Need Supplies, Demand Abilities, Interpersonal Similarity, Unique Roles, Organizational and Interpersonal-Counterproductive Work Behaviour.

In this paper, we present a generalization of white noise analysis to the case of non-Gaussian measures. For this purpose, we use a biorthogonal approach in which instead of the exponentials the characters of commutative hypercomplex systems are employed. Moreover, we construct the elements of Wick calculus in a non-Gaussian setting.

Unified Power Quality Conditioner (UPQC) is an effective device to solve the power quality problems. The UPQC is a combination of series and shunt filters which simultaneously compensate load voltage and source current imperfections. This paper presents harmonic mitigation using three level Neutral Point Clamped inverter based Unified Power Quality Conditioner. The use of three level Neutral Point Clamped converters allows a better performance of equipment by reducing harmonics and the ripple of the generated oltages and currents. The performance of UPQC in the reduction of harmonics is evaluated when employed with Multi carrier based SPWM and three level novel SVPWM techniques. Simulation results based on MATLAB/SIMULINK are presented to verify the effective compensation of harmonics using the two different modulation techniques.

The goal of this paper is to propose new methods to measure the effective exposure to country risk of emerging-market companies. Starting from Damodaran (2003), we propose three new approaches: the “Prospective Lambda”, the “Retrospective Lambda” and the “Company Effective Risk Premium”. We tested our new measures of a company’s exposure to country risk on Brazilian companies listed on the Bovespa Index. The results confirm that the new approaches can be effectively applied to stable-growth companies, providing with a more reliable estimate of the premium effectively requested by investors in the past. Applying the new approaches, the cost of equity reflects the effective exposure of a company to country risk without being over- or underestimated, as is the case with other existing approaches.

This paper proposes a graphical interface to be integrated into the physical architecture that has been established to receive a specific process of assembling the front suspension to the automobile. The physical architecture contains many cells with the necessary means to enable workers to carry out assemblies of various types of suspensions. In the development of the graphical interface are considered means for defining the formal sequence of assembly of each type of suspension in order to increase the production capacity and decrease losses by undue assemblies. The layout set for virtual components and also the choice of resources are planned to increase the expressiveness and ease of use of each window contained in the graphical interface. The validation of the operational features of the graphical interface is obtained by carrying out practical tests on a prototype that uses the basic elements that are specified in the aforementioned physical architecture.

Authentication and authorization are the two crucial functions of any modern security and access control mechanisms. Authorization for controlling access to resources is a dynamic characteristic of a workflow system which is based on true business dynamics and access policies. Allowing or denying a user to gain access to a resource is the cornerstone for successful implementation of security and controlling paradigms. Role based and attribute based access control are the existing mechanisms widely used. As per these schemes, any user with given role or attribute respectively is granted applicable privileges to access a resource. There is third approach known as predicate based access control which is less explored. We intend to throw light on this as it provides more fine-grained control over resources besides being able to complement with existing approaches. In this paper we proposed a predicate-based access control mechanism that caters to the needs of cloud-based workflow systems.

There are different types of energy sources: traditional, commercial, primary, renewable and the new energy sources. The new energy sources, from the perspective of this paper are those that have been innovated in the recent past and are still being innovated by the scientists and technologists to meet the energy challenges. The availability of the fossil fuels or the commercial sources: coal, oil and gas is finite. Human beings have already used a considerable portion of the reserves. The reserves are maturing. Besides, these sources cause environmental pollutions: particulates, acid rains, toxic pollutants, particularly greenhouse gases. The greenhouse gases are warming up the globe with consequent climatic changes. Global warming and climatic change is presently one of the major challenges before human race.

Life is but a continuous process of energy conversion, transformation and use. The quantity of energy, forms and the sources used for conversion from one form to other are closely linked with economy and quality of life. But the energy conversion, transformation and use always produce effects on the surrounding environment. Some of these effects are detrimental to human health and the environment. Environmental pollution, particularly global warming is the talk of the day. Burning of fossil fuels produce smokes (COx, NOx, SOx and undesirable particulates) or flue gas, ash and other wastes. The wastes, flue gas, particulates and radiation produced in the energy system, cause health hazards. The SOx and the NOx are responsible for acid rain.

Human beings, unlike other biological species, had always and still have the universal desire or instinct of improving quality of life. This inherent instinct has caused previously unimagined explosion of amenities of life, change in life style, improvement of standard of living and resulted sharp growth of global population and life expectancy. Better quality of life requires more works to be done to cook food, build housing, construct roads, and produce clothes and lighting and primarily to generate motive power to produce present day goods and services. Energy sources are needed to fulfill the ever-increasing human needs. Traditional sources of energy e.g. firewood and vegetable wastes, animal power, wind, sun and the traditional ways of using these sources could not match with the increased energy demand. Commercial energy sources: coal, oil and gas are presently playing the dominant role. But the reserves of these sources are finite. New and renewable energy sources like: hydro, nuclear, solar, wind, hydrogen, synthetic oils etc. are also contributing to meet the rising global energy demand but the contribution of these sources is still very limited.

Development of voice recognition for student attendance system is beneficial in many ways. It helps the lecturer in administrative the attendance of their student with efficiency. This is because students always cheat with their attendancy by signing on behalf of their friend who did not attend class. With this project, voice biometric is used as a medium for student to mark their attendance. Cheating among students will be prevented because like fingerprints, each voice is different. The objectives of this project are to study and understand the properties understand the properties of speaker recognition and to analyze the effectiveness of using Euclidean distance feature for speaker recognition. Databases of 26 volunteers were collected consisting of only male. The report result is tabulated. Three types of analysis were done, first same train is used as test data reported 100% correct. The remaining two analyses used different test data recording. Volunteers use the same sentence as test data reported 76.92% correct. Lastly volunteers used their name and the correct percentage is 46.15%.