A Literature Review on Ready-Mixed Concrete Industry in India

The present paper aims to review the existing research work in the area of management especially related to the Marketing Management of the Ready-Mixed Concrete in India. Ready-Mixed Concrete is the concrete which is manufactured at the central batching plant and delivered at construction site with the use of truck mounted Transit Mixers. The Ready-Mixed Concrete is the best alternative to Site Mixed Concrete as it has may advantages over Site Mixed Concrete. The commercial suppliers of Ready-Mixed Concrete are exists in the market. They together constitute Ready-Mixed Concrete Industry. The present paper is a summary of research activities conducted in the context of Ready-Mixed Concrete Industry in India

Automatic Guided Robot

In production industries and chemical plants there are some repetitive and tedious jobs that require a lot of monotonous actions, like moving objects. These activities are time bound which cannot be managed by humans alone. Automatic Guided Robot system is a reprogrammable robot which will be able to identify objects on its own and it will carry the identified object to its destination. System uses image processing for comparison of two images, image captured by camera and required image. Wireless camera is used to capture an image and the captured image is transferred to the computer using an RF module. Microcontroller AT Mega 16 will control the robot arms and wheels and works as per commands by computer

Critical Analysis on Multimodal Emotion Recognition in Meeting the Requirements for Next Generation Human Computer Interactions

Emotion recognition is the gap in today’s Human Computer Interaction (HCI). These systems lack the ability to effectively recognize, express and feel emotion limits in their human interaction. They still lack the better sensitivity to human emotions. Multi modal emotion recognition attempts to addresses this gap by measuring emotional state from gestures, facial expressions, acoustic characteristics, textual expressions. Multi modal data acquired from video, audio, sensors etc. are combined using various techniques to classify basis human emotions like happiness, joy, neutrality, surprise, sadness, disgust, fear, anger etc. This work presents a critical analysis of multi modal emotion recognition approaches in meeting the requirements of next generation human computer interactions. The study first explores and defines the requirements of next generation human computer interactions and critically analyzes the existing multi modal emotion recognition approaches in addressing those requirements

FORMULATION DEVELOPMENT AND EVALUATION OF GASTRO-RETENTIVE DOSAGE FORM OF ATAZANAVIR SULPHATE

Objective: To improve dissolution properties of atazanavir sulphate by preparing gastro-retentive granules by solid dispersion method and development of RP-HPLC method for estimation of this drug.Methods: Estimation of atazanavir sulphate was done using high performance liquid chromatography (HPLC) on inertsil column (5 µm, 250x4, 6 mm) with a mobile phase consists of methanol: water (91:9 v/v), at 0.5 ml/min flow rate and 249 nm UV detection. The method was validated as per ICH guidelines. Selection of the carrier for gastro-retentive formulation was based on phase solubility study of the drug. Solid dispersions of gastro-retentive granules of different composition of drug and carrier, were prepared by the kneading, heating and solvent evaporation. A 32factorial design was applied to optimize the gastro-retentive formulation. The amounts of polyethylene glycol 6000 (PEG 6000) (X1) and hydroxypropyl methyl cellulose (HPMC) (X2) were selected as independent variables and in vitro-release at 5, 9 h and total floating time was selected as dependent variables. Results: HPLC method was found to be linear in a concentration range of 10-60 μg/ml of the drug (r2= 0.999). The low value of % RSD in precision study indicates reproducibility of the method. The low value of LOD and LOQ suggests the sensitivity of the method. The solubility enhancement study of drug with various carriers followed descending order of solubility [Gelucire 44/14>PEG 6000>polyvinyl pyrrilidone (PVP)]. Highest % cumulative release was observed for the heating method at drug polymer (PEG 6000) ratio 1:5. Hence, this ratio has been selected for preparation of solid dispersion. From comparison of dissolution profile of formulated batches, formulation F4 [containing PEG6000 (1.6 g) and HPMC (200 mg)] showed promising dissolution parameters with desired floating properties.Conclusion: Results obtained by validation studies suggested that the developed HPLC method is simple, accurate, precise and can be used for routine analysis of atazanavir sulphate formulation. Results of evaluation of prepared batches indicate that batch F4 is a promising formulation for gastro-retentive dosage form of drug.Â

Gift-Me : Personalized Gift Recommender System

Nowadays most of the india market is moving towards an online world with an adroit to have an maximum market scope .So we are connecting the business of gift article to online world with the evolved versions of current algorithm of recommendation systems.Ecommerce is an online site where the sale or purchase of goods are ordered electronically.The available ecommerce system have some issues with the recommendation so we are collaborating the multiple algorithm to increase the product sale and convinient in user interactio

Amelioration of Paracetamol-Induced Hepatotoxicity in Rat by the Administration of Chloroform extract of Argemone mexicana

Aim: The present study was undertaken to examine the effects of Chloroform extract of Argemone mexicana using the paracetamol-induced liver damage in rats as the animal model. Materials and methods: Chloroform extract of Argemone mexicana (100 and 200 mg/kg body weight) was administered daily in experimental animals. The hepatoprotective efficacy of Chloroform extract of Argemone mexicana (100 and 200 mg/kg) was investigated against paracetamol-induced hepatotoxicity. The levels of serum glutamic oxaloacetic transaminase (SGOT), serum glutamic-pyruvic transaminase (SGPT), serum alkaline phosphatase (ALP), bilirubin and triglycerides were estimated. Moreover, chloroform extract of Argemone mexicana -aided antioxidant defense against hepatotoxic insult of paracetamol was measured by evaluating a number of anti-oxidative biomarkers including reduced malondialdehyde (MDA) in the serum. Results: Oral administration of paracetamol (500 mg/kg b.wt.) resulted in a significant elevation of liver enzymes in serum such as SGOT, SGPT, ALP, bilirubin and triglyceride levels when compared with the results in the control group. As regards oxidative stress biomarkers, there were increased tissue levels of malondialdehyde in the group treated with paracetamol. All of these results were ameliorated by co-administration of chloroform extract of Argemone mexicana. Conclusions: These results suggest that the protective role of Chloroform extract of Argemone mexicana in the prevention of PCM-induced hepatic toxicity in rats was associated with a decrease of oxidative stress in hepatic tissues. Keywords: Antihepatotoxicity; Chloroform extract of Argemone mexicana; Paracetamo

Optimal Reservoir Management and Well Placement Under Geologic Uncertainty

Reservoir management, sometimes referred to as asset management in the context of petroleum reservoirs, has become recognized as an important facet of petroleum reservoir development and production operations. In the first stage of planning field development, the simulation model is calibrated to dynamic data (history matching). One of the aims of the research is to extend the streamline based generalized travel time inversion method for full field models with multimillion cells through the use of grid coarsening. This makes the streamline based inversion suitable for high resolution simulation models with decades long production history and numerous wells by significantly reducing the computational effort. In addition, a novel workflow is proposed to integrate well bottom-hole pressure data during model calibration and the approach is illustrated via application to the CO2 sequestration. In the second stage, field development strategies are optimized. The strategies are primarily focused on rate optimization followed by infill well drilling. A method is proposed to modify the streamline-based rate optimization approach which previously focused on maximizing sweep efficiency by equalizing arrival time of the waterfront to producers, to account for accelerated production for improving the net present value (NPV). Optimum compromise between maximizing sweep efficiency and maximizing NPV can be selected based on a 'trade-off curve.' The proposed method is demonstrated on field scale application considering geological uncertainty. Finally, a novel method for well placement optimization is proposed that relies on streamlines and time of flight to first locate the potential regions of poorly swept and drained oil. Specifically, the proposed approach utilizes a dynamic measure based on the total streamline time of flight combined with static and dynamic parameters to identify "Sweet-Spots" for infill drilling. The "Sweet-Spots" can be either used directly as potential well-placement locations or as starting points during application of a formal optimization technique. The main advantage of the proposed method is its computational efficiency in calculating dynamic measure map. The complete workflow was also demonstrated on a multimillion cell reservoir model of a mature carbonate field with notable success. The infill locations based on dynamic measure map have been verified by subsequent drilling

A Survey of Algorithms Involved in the Conversion of 2-D Images to 3-D Model

Since the advent of machine learning, deep neural networks, and computer graphics, the field of 2D image to 3D model conversion has made tremendous strides. As a result, many algorithms and methods for converting 2D to 3D images have been developed, including SFM, SFS, MVS, and PIFu. Several strategies have been compared, and it was found that each has pros and cons that make it appropriate for particular applications. For instance, SFM is useful for creating realistic 3D models from a collection of pictures, whereas SFS is best for doing so from a single image. While PIFu can create extremely detailed 3D models of human figures from a single image, MVS can manage complicated situations with varied lighting and texture. The method chosen to convert 2D images to 3D ultimately depends on the demands of the application