International Journal of Advances in Engineering Sciences
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159 research outputs found
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Design of Reversible Barrel Shift Register for Low Power VLSI
No full textThroughout the world, the numbers of hardware designer struggle for the reducing of power dissipation in VLSI systems. In case of designing of low power VLSI systems, the heat or energy is dissipated due to the irreversible or conventional design approach of digital VLSI system at the logical level. In this dissertation, a new approach of designing the digital systems at logical level is discussed. Reversible logics are the logic which does not dissipate the power, uses this concept in designing of digital VLSI system. The reversible logic has the promising applications in emerging computing paradigm such as quantum computing, quantum dot cellular automata, optical computing, etc. In reversible logic gates there is a unique one-to-one mapping between the inputs and outputs. To generate an useful gate function the reversible gates require some constant ancillary inputs called ancilla inputs. Also to maintain the reversibility of the circuits some additional unused outputs are required that are referred as the garbage outputs. The number of ancilla inputs, number of garbage outputs and quantum cost plays an important role in the evaluation of reversible circuits. Thus minimizing these parameters are important for designing an efficient reversible circuit. Barrel shifter is an integral component of many computing systems due to its useful property that it can shift and rotate multiple bits in a single cycle. The main contribution of this thesis is a set of design methodologies for the reversible realization of RBS where the designs are based on the Fredkin gate and the Feynman gate. The Fredkin gate can implement the 2:1 MUX with minimum quantum cost, minimum number of ancilla inputs and minimum number of garbage outputs and the Feynman gate can be used so as to avoid the fanout, as fanout is not allowed in reversible logic. The design methodologies considered in this work targets 1.) Reversible logical right shifter(RLRS), 2.) Reversible universal right shifter(RURS) that supports logical right shift, arithmetic right shift and the right rotate, 3.) Reversible bidirectional logical shifter(RBLS), 4.) Reversible bidirectional arithmetic and logical shifter(RBALS), 5) Reversible universal bidirectional shifter(RUBS) that supports bidirectional logical and arithmetic shift and rotate operation
Characterization of Sub-Bituminous Coal Particles and Surface Structure Correlation Study using BET and SEM
No full text This study characterizes the coal particles and studied surface structure of the particles using BET and SEM. Study of the particles surface structure aided in suggestions to improve overall handling of coal. BET test result classified Sub-bituminous and bituminous coal to the class of nanometer: mesoporous material ranges from 2 to 49.999. The coals were ground dry with a milling machine into powder form and characterized by sieving into seven standard sieve sizes of 75mm, 150mm, 212mm, 300mm, 425mm, 600mm and 850mm with Octagon 2000 sieve shaker. The sieved coal powders were used for BET and SEM experiment respectively. The outcome of this study showed the adsorptive nature of the coal particles. Â
Dynamic schematic Model simulation of fabricated In-parallel compliant Mechanism based on Stewart platform
No full textThe In-parallel compliant mechanism was fabricated on basis of the Stewart platform robot consisting on six parallel prismatic joints attached by smaller upper plate to bottom plate by pins showing 6 DOF. Its dynamics is described by its kinematics through local and global coordinate transformation system. The orientation system is displayed by local and global system of each leg of the six legs. The orientation denoted by angles in reference to central spherical bottom plate. The manual graphical results for local and global coordinate system have been compared by computer simulated results. The manual top view and computational elevation difference has been observed
Parameter optimization of Carburettor casting process by using Taguchi method
No full textThe present work analyses different parameters of pressure die casting process to minimize the casting defects. Pressure die-casting is usually applied for casting of aluminum alloys. Good surface finish with required tolerances and dimensional accuracy can be achieved by optimization of process parameters such as solidification time, melting temperature, filling time, and injection pressure. Moreover, by selection of optimum process parameters the pressure die casting defects such as porosity, insufficient spread of molten etc. are also lowered. Therefore, a pressure die casting component, carburetor housing of aluminum alloy has been considered. The effects of selected process parameters on casting defects and subsequent setting of parameters with the levels have been accomplished by Taguchi’s parameter design approach. The experiments have been performed as per the combination of levels of different process parameters suggested by L18 orthogonal array. Mean and S/N ratio have been calculated for the different process parameter for the optimum results
Congestion control within working ability and capacity limit in cloud computing environment
No full textCloud computing is a new service delivery method where the developer provide “everything as a serviceâ€. Due to its nature of cost effectiveness, scalability, and flexibility cloud computing is gaining popularity rapidly. Due to its increased demand proper resource utilization is must. Proper resource utilization model also leads to increase cost benefits to the user. As cost effectiveness is one of the main quality concerns of cloud computing model, the resource allocation model needs to take care of it along with congestion control.Conventional congestion control approach whether works in single resource environment or block all the resources even if only one resource is congested. This leads to the inefficient resource utilization model. So, work proposal we present a set of different resource allocation model, which are having different number of virtual machines.Â
Geotechnical Investigation of Black Cotton Soils
No full textBlack cotton soils for the study were derived from Indrasagar Rockfill Dam, Polavaram, Andhra Pradesh (India) from a depth of 1m, 1.2 m and 1.5 meters. Physical and geotechnical properties of the soil samples were studied in the laboratory. The tests conducted were grain size analysis, specific gravity, atterberg’s limits, standard Proctor compaction, consolidation and direct shear test. Results as obtained were compared with the Indian standard code. Further, relationships of plasticity index with liquid Limit and optimum moisture content, compression index with liquid limit, optimum moisture content and plasticity index, angle of internal friction with plasticity index were also derived. The test results have shown that increase in the clay content in the black cotton soil attributes an increase in the plasticity index. Beside this, with the increase in optimum moisture content, an increase in the plasticity index, compression index, liquid limit were also observed. The study reveals that increase in the plasticity index induces decrease in the angle of internal friction. The empirical models with the help of regression analysis were also suggested for the benefit of field engineers for prediction of geotechnical properties of black cotton soil. Â
Developing a Generic Decision Support System for Poultry Feeding
No full textPoultry breeding of birds such as chickens, ducks, and turkeys, provide humans mainly with meat and eggs. It represents a great share of investment in many countries. Feeding is one of the factors that play an essential role in poultry industry. Moreover, feeding represents a major direct cost in poultry industry. Therefore, it is generally vital to deliver the best animal diet at the minimum cost, to gain more profit. However, mixing feed ingredients turns out to be more troublesome, since several issues got the opportunity to be involved all at the same time. In this paper, the linear programming algorithm is applied and used in a web application to help farmers and producers to find the minimum cost of feeding, considering many factors including: the purpose of breeding, poultry type, growth stage, nutritional requirements and available feedstuffs
Data Mining Based Classification Technique for Adaptive Intrusion Detection System using Machine learning
No full textAn intrusion detection system is activitythat observe a network or system activities for malicious activities. IDS comes in various variant and the main goal of detecting suspicious traffic in wide variety of ways. There are network based and host based intrusion detection systems. An intrusion detection system is the process for identifying attacks on network. Intrusion detection system is categorized into two types: Anomaly based and misuse based detection. The  data mining techniques make it possible to observe the network and seperate from the intruders such as machine learning. Different researcher works for the detection of intrusion on network. In this NSL KDD dataset is used a source of classification. The main aim  is to recognize signature pattern of known attacks with better detection rate
The Effect of L-shaped Shear Wall Location on Lateral Displacemet In Symmetric Medium-Rise Building
No full textThe objective of this study was to compare seismic analysis of RC special moment resisting frame with shear wall (Dual System) in the symmetric medium-rise building. Four different configurations of the frame with L-shaped shear walls has been analyzed using ETABS 9.5 software. The dual system structure showed significant reduction of 69% to 85% in lateral displacement. Based on the results, the effective placement of shear walls in building is on the corner of the building
DESIGN AND ANALYSE A SPIRAL FLOW CATALYTIC CONVERTOR
No full textCatalytic convertors, today act as the most crucial component in an automobile due to its benefits to the environment. At the same time its presence, decrease’s the efficiency of the automobile, as it offers a resistance to the passage of exhaust. The paper presents a noval design of a catalytic convertor. It proposes the design and describes some of its parameters, distinguishing it from the conventional catalytic convertor. The proposed design contains an arrangement of catalysts on the periphery, inclined at an angle. The exhausts flow in the form of S’s and hence spends less time within the convertor. These two points help us in attaining a greater surface area for catalytic action, without trapping the exhaust for a longer duration and thereby serving as asset to the overall working of the convertor. The paper is concluded with a theoretical design comparison between the new designs the conventional design, the comparison is brought about by solving the Bernoulli equation using genetic algorithm.Keywords: Catalytic Convertor, Green, Spiral air flow, Genetic Algorithm, Design Compariso