Design of components for a generic microprocessor architecture

The objective of this thesis was to develop a generic microprocessor design that can be adapted to many of the existing 16 bit microprocessors. Common features of various microprocessors were used to develop the design of many generic components which can then be used to design the required microprocessors instead of custom-designing each one of them separately. The components were designed using a CISC based micro-programmed design approach as that was more suitable in terms of design and verification time for generic implementation. The generic parts designed include the Register File for temporary data storage, the Effective Address Calculator that generates the effective address for the operand, the Barrel Shifter for fast multiply/divide operations and the Priority Encoder for determining the processor state

Preparation and evaluation of polyherbal facial scrub

The main objective of present study was to prepare a polyherbal scrub incorporated into gel. The use of natural ingredients to fight against acne, wrinkle and also to control secretion of oil is known as natural or herbal cosmetics. Herbal cosmeceuticals usually contain the plant parts which possess antimicrobial, antioxidant and anti aging properties. Herbal cosmetics are the safest product to use routine with no side effects and cosmeceuticals are the product which influences the biological function of skin. In this preparation Green apple , cinnamon, Millet, Sandalwood, Neem , Turmeric and honey is used as active ingredients and incorporated into the gel which is prepared with carbopol of different grades. Other ingredients like propylene glycol, Triethanolamine; methyl parahydroxy benzoate was added along with sodium lauryl sulfate into the gel. The prepared gel was evaluated for various parameters such as appearance, pH, viscosity, Spreadability, washability, irritability and found to be satisfied with all required characterizations. Thus, the developed formulation can be used as an effective scrub for using it to bear a healthy and glowing skin. Keywords:   Polyherbal, Antioxidant, Anti Aging, Less Abrasive, Skin Exfoliat

Machine learning methods for automatic segmentation of images of field-and glasshouse-based plants for high-throughput phenotyping

Image segmentation is a fundamental but critical step for achieving automated high- throughput phenotyping. While conventional segmentation methods perform well in homogenous environments, the performance decreases when used in more complex environments. This study aimed to develop a fast and robust neural-network-based segmentation tool to phenotype plants in both field and glasshouse environments in a high-throughput manner. Digital images of cowpea (from glasshouse) and wheat (from field) with different nutrient supplies across their full growth cycle were acquired. Image patches from 20 randomly selected images from the acquired dataset were transformed from their original RGB format to multiple color spaces. The pixels in the patches were annotated as foreground and background with a pixel having a feature vector of 24 color properties. A feature selection technique was applied to choose the sensitive features, which were used to train a multilayer perceptron network (MLP) and two other traditional machine learning models: support vector machines (SVMs) and random forest (RF). The performance of these models, together with two standard color-index segmentation techniques (excess green (ExG) and excess green–red (ExGR)), was compared. The proposed method outperformed the other methods in producing quality segmented images with over 98%-pixel classification accuracy. Regression models developed from the different segmentation methods to predict Soil Plant Analysis Development (SPAD) values of cowpea and wheat showed that images from the proposed MLP method produced models with high predictive power and accuracy comparably. This method will be an essential tool for the development of a data analysis pipeline for high-throughput plant phenotyping. The proposed technique is capable of learning from different environmental conditions, with a high level of robustness

Comparative BehaviourOf High Rise Buildings With DiagridsAnd Shear Wall As Lateral Load Resisting System

Structural systems for tall buildings have undergone dramatic changes after observing that conventional Rigid Moment Resisting frames alone, the earlier predominant structural system for steel or concrete tall buildings was inefficient in resisting lateral loads. The intensity of the seismic and wind load increases with increase in height of the structure and demand the use of an additional Lateral Load Resisting System (LLRS) for enhancing performance. The LLRS for high rise buildings depend largely on the height of the building. Some of the LLRS that are currently used are Shear Wall (35m), Tube Structures- Frame tube (80m) and bundled tube (100m), Diagrid (100m), Super frames (160m) etc. Diagrid is a technique typically used for constructing large steel buildings by creating external triangular structures with horizontal support rings. The Diagonal members in Diagrid structural systems can carry gravity loads as well as lateral forces. In the present study, the behaviour of Diagrid structures in terms Lateral sway is compared with that of building with shear walls to evaluate the efficiency of Diagrid structures. A 45 storey steel building with a plan area of 36×36m and triangular pattern for diagonal members with a Diagrid angle of 63? is considered. The variations considered are density of Diagrid as 3, 4 and 6 and length of Shear wall, each 6m and 12m along X and Y directions at the corners of the building. Seismic analysis is carried out for seismic Zone V considering various load combination as per IS Codal provisions using SAP2000 V-15.It is found that Lateral displacements of a Diagrid structure are much less than that of shear walled structures proving its efficiency. The study also determines the optimum density of Diagrids considering the structural behaviour and practical considerations.&nbsp

Analytical Study On Horizontal Irregularities In Building Under Seismic Loads With And Without Shear Wall

Majority of buildings collapse under the action of dynamic loads which includes earthquake and wind loads. The greatest challenge to any structural engineer in present scenario is designing of seismic resistant irregular structures. Irregular buildings are those devoid of symmetry with discontinuity in geometry, mass or load resisting elements. Irregularities in construction of buildings are unavoidable and they constitute a large portion of modern urban infrastructure. In this present study, the behavior of three G+10 storied buildings with differing plans have been considered; one square shaped regular model and other two H shaped and hexagonal shaped models with horizontal irregularities. The total built-up area is 605.10 m2. All the models are located in Bangalore region with a seismic Zone factor 0.1(zone –II). Analysis of all the models was carried out using ETABS 2016.0.3 software. Linear static analysis method was used for the study of different parameters like storey drift, storey displacement, storey shear, shear force and bending moment with and without shear wall. Comparison between three models with these parameters were done and it was found that the H-shaped model with shear wall gave better resistant to seismic load compared to other models and hence was chosen as the best frame

Studies of Physiological and Yield Attributing Traits of Soybean [Glycine max (L.) Merrill]

The experiment was conducted at AICRP Soybean, Seed Breeding Farm, Department of Plant Breeding and Genetics, College of Agriculture, JNKVV, Jabalpur (M.P.). The experiment was consisting of 90 genotypes to study the difference in growth, morpho-physiological characterization and yield response of soybean. The genotype JS 21-72 followed by JS 22-18 and PS-1613 recorded the highest number of leaves per plant. AGS-48 showed maximum plant height among all other genotypes. Genotype DS 31-09 followed by JS 22-16 produced the maximum number of pods per plant. DS 31-09 followed by JS 22-16 produced maximum number of pods per plant with respects to all another genotype Early work with infrared thermometers proved successful in monitoring plant Evaporative rate. The canopy temperature in the current study ranged from 32.13 in JS 23-03 to 36.15 in JS 22-49. In yield attributing characters genotype highest seed yield was produced by JS 21-72 whereas JS 24-35 followed by JS 24-37 the shows highest number of seed per pod and 100 seed weight. Genotype NRC-137 followed by JSM 259 showed a higher range of harvest index. It is concluded that the six genotypes viz., JS 21-72, JS 24-35, JS 24-37, JS 22-16 AGS-48 and NRC- 137 found best to describe the morpho-physiological characterization in the present study