CONTROLLING OF AN INDUSTRIAL ROBOTIC ARM

Most of industrial robots are still programmed using the typical teaching process, through the use of the robot teach pendant. In this paper is proposed an accelerometer-based system to control an industrial robot using two low-cost and small 3-axis wireless accelerometers. These accelerometers are attached to the human arms, capturing its behavior (gestures and postures). An Artificial Neural Network (ANN) trained with a back-propagation algorithm was used to recognize arm gestures and postures, which then will be used as input in the control of the robot. The aim is that the robot starts the movement almost at the same time as the user starts to perform a gesture or posture (low response time). The results show that the system allows the control of an industrial robot in an intuitive way. However, the achieved recognition rate of gestures and postures (92%) should be improved in future, keeping the compromise with the system response time (160 milliseconds). Finally, the results of some tests performed with an industrial robot are presented and discussed

Large Scale Data Storage and Retrieval System using Keywords for E-governance

whenever we are storing any documents related E governance to cloud we need to secure it because there may be a malicious or third party attackers can hack data which in stored in cloud so that we need to create dynamic secure storage system. We are proposing improved encryption algorithm to give security for the text files related to E governance which we are going to store in the cloud. The improved RNS algorithm is one of the most widespread and commonly used methods and intriguing in the distribution and exchange of key. It can be said that this algorithm is a public key encryption system; the only objective of this algorithm is key distribution. After achieving security, to retrieve the file from the server Speed of transmission should be high, to achieve speech of transmission and searching efficiency, we are proposing Index Array Structure using MD5 Algorithm and Multi keyword Search for Searching Efficiency. To achieve Index Array Structure, from the text file all the unnecessary words, special characters and whitespaces are removed. The remaining keywords are extracted from the file. Remaining keywords occurrence is checked how many times the keywords are repeated. The repeated keywords weight age is noted in index array table. After weightage calculation, keyword ranking is checked. Keyword ranking is nothing but number of occurrences of keyword divided by total number of keywords in particular files (Term frequency). Finally, keyword ranking is stored in index array. After completing this process all the keywords are converted into hashed index with the grade access control key using MD5 algorithm. This converted hash key is inserted into index array. Finally, with the help index array content we are going to achieve Searching efficiency

High Strength Aluminium Alloys with Emphasis on Scandium Addition

Aluminium is perhaps the youngest among the large group of metallic elements. It was first commercially produced in the year 1886 and rose in prominence meteorically to occupy today the second position in the total weight pro-duced, next only to steel. Aluminium is a silvery white ductile metal with a FCC structure. It has excellent electrical and thermal conductivity (next only to copper and silver). It has low density (2.7 g/cc) which gives it a very high specific modulus and strength. Pure aluminium is the soft metal with the modulus value of 70 GPa and the yield strength of about 40 MPa. One of the most important properties of aluminium is to form a thin protective oxide layer on the surface. This layer is tenacious, adherent, deformable and impervious to most corroding elements

BIO-ANALYTICAL METHOD DEVELOPMENT AND VALIDATION FOR THE SIMULTANEOUS ESTIMATION OF DECITABINE AND CEDAZURIDINE IN HUMAN PLASMA USING LC-MS/MS

Objective: The present work aimed to develop a novel, reliable and accurate Liquid Chromatography-Mass Spectrometry/Mass spectrometry (LC-MS/MS) method for the simultaneous quantification of Decitabine and Cedazuridine a combined medication used for the treatment of chronic myelomonocytic leukemia in human plasma. Methods: Talazoparib drug is used as an internal standard in the study. Both the analytes and internal standard were isolated from 100 ml plasma samples by liquid-liquid extraction and then chromatographed on Zorbax SB-CN (4.6 mm×75 mm, 3.5 µm) column with a mobile phase consisting of 0.1 % ammonium formate and methanol in the ratio of 65:45 (v/v) pumped at 0.5 ml/min. The method had a chromatographic total run time of 5 min. Results: The developed method gave a symmetric peak at a retention time of 1.7 min for Decitabine, 2.2 min for Cedazuridine, 3.5 min for Talazoparib and satisfied all the peak properties as per USP guidelines. The mass spectral characterization of separated analytes in the LC method was performed using a mass detector operated at Multiple Reaction Monitoring mode with precursor-to-product ion transitions at m/z of 229 to m/z of 114 as MH+ion for Decitabine, m/z of 269 to m/z of 118 as MH+ion for Cedazuridine. A very sensitive limit of detection of 0.3 ng/ml was observed and showed a calibration curve linear over the concentration range of LLOQ (lower limit of quantification) to 500 ng/ml. The other validation parameters were found to have acceptable accuracy, precision, linearity, and selectivity. The mean extraction concentration was acceptable and very high for both the analytes in HQC (high-quality control concentration), MQC (medium quality control concentration) and LLOQ levels. The peak area response ratio of Decitabine and Cedazuridine with the internal standard in freeze-thaw, short term and long term stability studies was found to be acceptable confirms that the method is stable. Conclusion: It can be concluded that the proposed method is specific, accurate, and precise and could be used for the simultaneous estimation of Decitabine and Cedazuridine in human plasma

Evaluation of Contact Stresses in Bearings Made of Al – Beryl Metal Matrix Composites by Finite Element Method

AbstractIn the present investigation, interference fitted assemblies were analyzed using finite element method to evaluate contact stresses. The main objective of this research work is to develop metal matrix composite of commercially available pure aluminum reinforced with different weight percentage of Beryl to attain a most desirable property combination for bearings. A detailed analysis on the effect of bearing material on contact stresses was undertaken. The work covers the analysis based on Hertzian contact stresses. An appropriate finite element model was developed to analyze the pattern of contact stresses in the interference assemblies. Ansys workbench was used as a tool to construct the model and to perform analysis. The model was simulated by applying a pressure of 100MPa and at different speeds of the shaft. A comparative study on the effect of bearing materials such as bronze, Al-SiC and Al-Beryl MMCs on contact stresses were clearly demonstrated. It has been found that the contact stresses in the bearings made of Al-Beryl metal matrix composite was in the range of 4678.7 to 4680Pa at different speeds which was very much less when compared to the bronze and Al- SiC MMC. The results clearly demonstrated Al-Beryl can be used as one of the most suitable materials for fabricating bushes