International Journal of Advances in Engineering Sciences
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159 research outputs found
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Minimization of weighted sum of total tardiness and make span in no wait flow shop scheduling Using different heuristic algorithm: A Review
No wait flow shop scheduling one of the most significant issues in the planning and operation of a manufacturing system. A succeeding operation start immediately after the preceding operation complete means no wait flow shop scheduling.   Better no wait flow shop scheduling system has significant impact on cost reduction, increased productivity, customer satisfaction and overall competitive environment. In no wait flow shop scheduling problem, a set of n independent jobs have to be processed on a set of m machines. Every job requires a given fixed, non-negative processing time on every machine. Traditional flow shop scheduling problems has primarily been focused on completion time of jobs, and in current manufacturing tradition has been adopted criteria like on time delivery to stay in the rapidly growing markets. So industries focus has gone beyond the single objective scheduling system. The primary objective of no wait flow shop scheduling is to obtain the best sequence, which can be achieve by minimizes the various parameter like make span, flow time, idle time, work in-process and tardiness, etc. The paper has reviewed and classified the articles published in related journals between 1995 and 2015. With the help of this wide literature review identifies and discusses several issues significant to the performance of evolutionary algorithms, different objectives used to optimize parameter and their selection. The present work focused on review of various no wait flow shop scheduling problem involving make span other parameter consideration deals with the various type of heuristic algorithm(SA, GA, Taguchi, DOE etc.) for scheduling and what are the outcome of the same with various parameter selection, computer resource usage, hybridization and enhancement from the past work
Study on the effect of flow rate on cycle time for multi-impression Injection Molding
With a constant demand to manufacture the best quality products, the industry needs to find or develop new techniques to do the same with reduced manufacturing costs to earn more profits in the coming future. Injection Molding is one of the most significant operations for plastic products around the globe. Cooling system plays a very important part in molding process affects the cycle time. An efficient cooling system design targets at reducing the overall cycle time and helps in minimizing the defects as sink marks, shrinkage, thermal residual stress build up and part-warpage. This paper represents the experimentation involved in finding the most suitable flow rate at which the coolant must function upon. For various values of the flow rate, Moldflow simulation and experiments were done and the results were thus, compared. It has been found from the experimental analysis that the cooling time reduces significantly when the coolant is run at 28 liters per minute. On comparing the obtained results, it is found that dimensional accuracy and quality of the end product has improved
Spam Review Detection using a Hybrid Classification Method
The area of sentiment mining (also called sentiment extraction, opinion mining, opinion extraction, sentiment analysis, etc.) has seen a large increase in academic interest in the last few years. Researchers in the areas of natural language processing, data mining, machine learning, and others have tested a variety of methods of automating the sentiment analysis process. In this research work, new hybrid classification method is proposed based on coupling classification methods using arcing classifier and their performances are analyzed in terms of accuracy. A Classifier ensemble was designed using Naïve Bayes (NB), Support Vector Machine (SVM) and Genetic Algorithm (GA). In the proposed work, a comparative study of the effectiveness of ensemble technique is made for sentiment classification. The ensemble framework is applied to sentiment classification tasks, with the aim of efficiently integrating different feature sets and classification algorithms to synthesize a more accurate classification procedure. The feasibility and the benefits of the proposed approaches are demonstrated by means of spam review that is widely used in the field of sentiment classification. A wide range of comparative experiments are conducted and finally, some in-depth discussion is presented and conclusions are drawn about the effectiveness of ensemble technique for sentiment classification
Performance Study of DWDPM Transmission
This article presents proposed novel topology for dense wavelength division polarization multiplexed optical communication link. In the proposed system channels have been bifurcated into odd and even segments and polarization effect have been investigated. Multiple parametric scanned simulations have been carried out with different bit rates (10 and 40Gbps) and transmission reach, employing single mode fiber. Investigated results showed better transmission performance for all of the received channels for the selected transmission distance of 180 and 450 kilometers even without dispersion management. Further it is also observed that with inclusion of forward error correction (FEC), Raman Amplification and with random polarization multiplexed channel transmission systems performance is further improved. Thus proposed scheme may be one of capable and spectral efficient optical transmission scheme which may be employed with future long and medium haul optical communication links
A heuristic technique to find Pareto optimal solutions of the bicriterion sheet metal problem
A heuristic algorithm is developed to find Pareto optimal solutions of the bicriterion sheet metal problem. The two criteria are to minimize the cost of left out material (scrap) and to minimize the total processing and setup time for all the orders associated with the blanking operation in sheet metal when nesting of orders is done. In comparison with the methods already existing in the industry for such type of problems the newly developed heuristic algorithm apart from being easy to understand and implement consumes very less implementation time and cost. Providing the decision maker with a set of Pareto optimal solutions gives him/her flexibility to select the best solution among the solutions obtained depending upon his/her priority. Implementation of the algorithm is explained through a numerical example
CFD MODELING FOR PRESSURE DROP IN PNEUMATIC CONVEYING THROUGH PIPE BEND
Abstract— Computational Fluid Modelling (CFD) is used to investigate the pressure drop prediction capabilities of CFD techniques for a 900 pipe bend in vertical horizontal plane for an extended range of conveying conditions in a pneumatic pipe line system. The conveyed material was cement with a mean particle size (d50) of 25 micron. In Test Rig, the 900 bend of 52mm internal diameter and D/d of 6 was configured. The computational grids for the pipe bend generated in gambit similar in dimension as used in experiment. There is broad qualitative agreement in trends and flow patterns; however, there is quantitative disparity of pneumatic conveying through pipeline system.Â
Relation between New Technologies and Health of Society: A Review
The experiences have shown that the successful introduction of a new technology requires careful attention to the interactions between the technology and society. These interactions are bi-directional: on the one hand, technology changes and challenges social patterns and, on the other hand, the governance structures and values of the society affect progress in developing the technology. Nanotechnology is likely to be particularly affected by these kinds of interactions because of its great promise and the unusually early public attention it has received. There are a number of lessons to be gleaned from experience with the introduction of other technologies, which offer guidance with respect to what pitfalls to avoid and what issues to be sensitive to as we move forward with the development of nanotechnology applications. The problems encountered by nuclear power point out the dangers of over-promising and the role the need for the technology plays in ameliorating fears of risk. In all cases, it has been clear that a main task for those introducing new technology is building public trust–in the safety of the technologies and the integrity of those introducing it. The advocates of nanotechnology have already shown that they are generally aware of the need to consider the public’s reaction, and they have taken the first steps to act on that awareness. We have to build on those beginnings, not limiting our considerations simply to issues of safety. If we do so well, we have the opportunity to develop a new paradigm for technology introduction, which will serve society well in the future
A New Algorithm to Improve LEACH Protocol through Best Choice for Cluster-Head
LEACH protocol is one of the widely used protocols in wireless sensor networks (WSN), in which a reduction of energy consumption is the main task. This protocol was encountered several problems such as, the node did not choose the best cluster head (Even if the cluster head closer to that node), which may be far from the Base Station, which was leaded to consume more energy, and hence network lifetime will be short. In the present work, an improvement was added to the original LEACH protocol by making the node associated with the appropriate CH that may not be the closest to it. This improvement was accomplished by calculating the distance between the node and the BS (distance1) and that between the CH and BS (distance2), if (distance2) (0.5*distance1), it was meant that the current CH is the best. The improved LEACH protocol was simulated using Matlab software. The simulation results were show that the improved protocol was given better performance than the original one in the following aspects:Â 1-Â Â Â Â Increasing the number of rounds.2-Â Â Â Â Delayed the first node dies.3-Â Â Â Â Deceleration in the total nodes death.4-Â Â Â Â Balance in the energies of the nodes.5-Â Â Â Â Extended the overall network lifetime
CONTROL FOR ROBOTIC MANIPULATORS WITH PROPORTIONAL INTEGRAL DERIVATIVE & COMPUTED TORQUE CONTROL
Inspite of long years of research, problem of manipulator path tracking control is the thrust area for researchers to work upon. Non-linear systems like manipulator are multi-input-multi-output, non-linear and time variant complex problem. A number of different approaches presently followed for the control of manipulator vary from classical PID (Proportional Integral Derivative) to CTC (Computed Torque Control) control techniques. This paper presents design and implementation of PID and CTC controller for robotic manipulator. Comparative study of simulated results of conventional controllers, like PID and CTC are also shown. Tracking performance and error comparison graphs are presented to show the performance of the proposed controllers
Modeling and Simulation of D Flip-Flop using MTCMOS Technique
In present CMOS circuits, the power dissipation caused by leakage current cannot be neglected any more. The current use of multi-Vt to control leakage power targets combinational gates, even though sequential elements such as flip flops also contribute appreciable leakage. In this paper low power, high speed design of D flip flop is enumerated. Numerous techniques are utilized to minimize sub-threshold leakage power as well as the power consumption of the CMOS circuits. The proposed circuit in this paper shows a design for D flip flop to increase overall speed of the circuit as compared to other circuits by using minimum number of transistors to achieve lowest power consumption. This paper proposes four leakage reduction techniques such as leakage feedback; gate-length biasing, dual threshold techniques and MTCMOS for use in D flip flop. This work analyses the leakage- current and power of different implementation of D flip flop using transmission gate. All the designs are simulated using Cadence in 45nm process technology. Simulation result shows that the proposed MTCMOS based D flip flop has the least leakage power dissipation