Abstract:
We determine exact solutions of steady, plane viscousincompressible magnetohydrodynamic (MHD) aligned and non-MHD fluidflows when the polar representation of the streamline patterns forthese flows are of the form (θ−f(r))/g(r)=constant.

Abstract:
A new approach for the determination of exact solutions of steady plane infinitely conducting MHD aligned flows is presented. In this approach, the ( , )- or the ( ·, )- coordinates is used to obtain exact solutions of these flows where =(x,y) is the streamfunction and w= (x,y)+i ·(x,y) is an analytic function of z=x+iy.

Abstract:
Equations for steady plane MHD orthogonal flows of a viscous incompressible fluid of finite electrical conductivity are recast in the hodograph plane by using the Legendre transform function of the streamfunction. Three examples are studied to illustrate the developed theory. Solutions and geometries for these examples are determined.

Abstract:
A study is made of non-Newtonian HHD aligned steady plane fluid flows to find exact solutions for various flow configurations. The equations of motion have been transformed to the hodograph plane. A Legendre-transform function is used to recast the equations in the hodograph plane in terms of this transform function. Solutions for various flow configurations are obtained. Applications are investigated for the fluids of finite and infinite electrical conductivity bringing out the similarities and contrasts in the solutions of these types of fluids.

Abstract:
Solutions are obtained for the equations of the motion of the steady incompressible viscous planar generalized Beltrami flows when the vorticity distribution is given by ￠ 2 = +f(x,y) for three chosen forms of f(x,y).

Abstract:
Several modeling techniques have been used to classify the low-back disorders (LBDs) risk associated with the industrial jobs. Many researchers have demonstrated the use of artificial neural networks (ANNs) to predict musculoskeletal disorders risk associated with occupational exposures. In order to improve the accuracy of LBDs risk classification, this paper proposes to use the support vector machines (SVMs), a machine learning algorithm used extensively in the last decade. The results of SVMs based ensemble classification approach to classify the low-back disorders (LBDs) risk associated with the industrial jobs are presented. Four different kernels (i.e. the stump kernel, perceptron kernel, Laplacian kernel and exponential kernel) were used to create infinite ensemble of SVMs and their performance have been compared with the SVMs, AdaBoost SVMs, and a backpropagation neural network. The results suggest an increased performance by stump and Laplacian kernel in comparison to the radial basis function and polynomial kernel based SVMs, AdaBoost SVMs, and the back propagation neural network. Highest classification accuracy of 77.01% was achieved by Laplacian kernel based SVMs in comparison to 71.3% and 74.7% by radial basis function kernel based SVMs and back propagation neural network respectively.

Abstract:
Bi-criteria flow shop scheduling problems with sequence dependent set up time (SDST) have seen an increasing attention of managers and researchers in recent years. A very restricted research has been reported on bi-criteria SDST flow shop scheduling problems dealing with due date related performance measures. In the present work, a modified heuristic based genetic algorithm (MHGA) has been developed for the aforesaid scheduling problem subject to the minimization of weighted sum of total weighted squared tardiness and makespan criterion. The modified heuristic algorithms, along with other available heuristics and dispatching rules in the literature have also being developed to solve the problem instances given by Taillard. A computational analysis has been made to evaluate the performance of the proposed MHGA for upto 200 jobs and 20 machines problems. Comparative analysis with the help of defined performance index known as relative percentage deviation (RPD) verifies that it is viable and effective approach when compared with others heuristic/dispatching rules based genetic algorithms for the SDST flow shop scheduling, especially for larger sized problems.

Abstract:
Minimization of non-productive time of tool during machining for 2.5 D milling significantly reduces the machining cost. The tool gets retracted and repositioned several times in multi pocket jobs during rough machining which consumes 15 to 30% of total machining time depending on the complexity of job. The automatic CNC program commonly generates contour parallel tool path. Optimization of tool path length during on-productive time can be modeled on Traveling Salesman Problem (TSP) which belongs to family of non-deterministic polynomial (NP) hard problem. In the present work, a Hybrid Genetic Algorithm (HGA) has been proposed to optimize the non-productive tool path in which the initial seed solution is generated by special heuristic and combined with random initial solution generated by simple genetic algorithm (SGA). A defined performance index known as Relative percentage deviation (RPD) has been used for analyzing the results by varying the size of the jobs. From the analysis, it is found that HGA shows superiority over SGA for same computation time limit as the stopping criteria.

Abstract:
This work analyses the right hand anthropometric dimensions of 1540 male industrial workers of the age ranging from 18 to 62 years belonging to four different divisions of Haryana state of India. Hand index derived from measured hand dimensions can be used to estimate differences related to sex, age and race in forensic and legal sciences. It has been calculated as percentage of hand breadth over the hand length; which suggests that the male industrial workers population of state belong to mesocheir group of hands. The hand length, breadth and derived index of the subjects have been compared with population of the twelve other states of the country. Comparison of hand length, hand breadth and hand index of the subjects of the state has also been made with the male population of twenty-five other countries. There exist significant differences in hand anthropometric – amongst male population of different countries and also within country - which must be taken into consideration while designing the hand tools or equipment to be controlled by users’ hands of different populations.