Reverse engineering : an evaluation of contact technology and application in manufacturing systems

There are many instances where one-of-a-kind parts, such as prototypes or custom-built parts, need to be reproduced. When a Computer Aided Design (CAD) of an existing part is not available, reverse engineering is involved in recreation of such part. Currently, geometric measurements from the surface of a prototype are extracted manually and sent to a CAD system. It is typically time consuming, tedious, and potentially a source of error. This study outlines a methodology, for the development of a CAD model, rapid prototype, and subsequently manufacturing of the part. The method developed uses a contact technique to extract 2-D or 3-D data from the surface of parts using a coordinate measurement machine. Procedures for processing the data into a polygon mesh representation and orthographic projections are detailed. CAD solid modelling to Computer Aided Manufacturing (CAM), which is an important step in manufacturing industries are described by CNC code generations and use of ethernet to send the machine code file to the CNC machine tool on the shopfloor

Theoretical calculations of infrared, NMR and electronic spectra of 2-nitroso-1, naphthol or 1-2 naphthoquinine-2 oxime and comparison with experimental data

The geometry of the 2-nitroso-1,naphthol in solid state and 1-2 naphthoquinine-2, oxime in solution have studied by employing Hatree Fock ab initio calculations using 6-31 G* level. IR wave number of 2-nitroso -1, naphthol is calculated and compared with experimental date. Further, 1-2, naphthaquinine-2, oxime in solution, NMR chemical shifts of 1H and 13C are calculated by HF method and 6.31 G* level, experimental data was compared. Electronic spectra were also calculated and compared with experimental data. These results are discussed in detail in this wor

Isolation, Screening and Characterization of Exopolysaccharide Producing Pseudomonas Sp. from The Soil Sample

  Exopolysaccharides (EPS) are vital metabolites that specific environmental microorganisms produce and expel. The goal of the current investigation is to identify bacteria that produce exopolysaccharides in soil samples from the Buttenath Dam region, At. Chanai, Tq. Ambajogai, Dist. Beed situated in the Marathwada region of Maharashtra, India. Two methods, such as gravimetric analysis of exopolysaccharide dry weight and quantification as, instance, for total carbohydrate content using phenol sulphuric acid technique, were used to screen the EPS-producing capacities of the chosen isolates. Post preliminary screening by selecting thick, ropy-like colony formers on agar medium, the results showed that thirteen (13) distinct colonies were marked to manufacture EPS. Tentative identification of these isolates was done based on morphological and biochemical tests. Three (03) isolates, VJ001, VJ003 and VJ010, were identified through secondary screening as the most effective EPS producers (producing precipitates over 1.46 mg/L of total dry weight and 8). This was in comparison to other bacterial colonies that were also isolated. Out of these screened isolates, VJ003 was the isolate with the highest exopolysaccharide produced and this isolated bacterium was identified using 16S rRNA gene sequence and phylogeny study as Pseudomonas aeruginosa VJ003 with NCBI GeneBank accession no. OR196093. The Pseudomonas aeruginosa VJ003 strain can be used in biotechnological sectors because of the ability it has to create significant levels of exopolysaccharides, according to the results of the current study

Enhancing Flight Delay Prediction through Feature Engineering in Machine Learning Classifiers: A Real Time Data Streams Case Study

The process of creating and selecting features from raw data to enhance the accuracy of machine learning models is referred to as feature engineering. In the context of real-time data streams, feature engineering becomes particularly important because the data is constantly changing and the model must be able to adapt quickly. A case study of using feature engineering in a flight information system is described in this paper. We used feature engineering to improve the performance of machine learning classifiers for predicting flight delays and describe various techniques for extracting and constructing features from the raw data, including time-based features, trend-based features, and error-based features. Before applying these techniques, we applied feature pre-processing techniques, including the CTAO algorithm for feature pre-processing, followed by the SCSO (Sand cat swarm optimization) algorithm for feature extraction and the Enhanced harmony search for feature optimization. The resultant feature set contained the 9 most relevant features for deciding whether a flight would be delayed or not. Additionally, we evaluate the performance of various classifiers using these engineered features and contrast the results with those obtained using raw features. The results show that feature engineering significantly improves the performance of the classifiers and allows for more accurate prediction of flight delays in real-time

COLOR HISTOGRAM BASED MEDICAL IMAGE RETRIEVAL SYSTEM

This paper aims to focus on the feature extraction, selection and database creation of brain images for image retrieval which will aid for computer assisted diagnosis. The impact of content-based access to medical images is frequently reported but existing systems are designed for only a particular context of diagnosis. But, our concept of image retrieval in medical applications aims at a general structure for semantic content analysis that is suitable for numerous applications in case-based reasoning. By using the features, the database created for comparison. The color histogram is used to measure the similarity between the stored database image and the query image. The image which is more similar to the query image is retrieved as the resultant image. If the quer

Android Based Health Monitoring

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MODIFICATION TO SPIHT ALGORITHM USING INCREMENTAL THRESHOLD FOR IMAGE COMPRESSION

The Modified SPIHT represents a more efficient implementation of the SPIHT algorithm by using variable thresholds to sort the list of insignificant pixels (LIP) and the list of insignificant sets (LIS). We observe two interesting facts: (I) most of the initial subsets in LIS are not only insignificant with respect to the maximum threshold, but also insignificant with respect to the smaller threshold. And (2) Most of the pixels generating from sorting LIS are smaller than the current threshold. Based on these two observations, it represents a new image codec method, which can make the binary encoded outputs more efficient, and can work well on different image sizes and different decomposition levels

NUMERICAL ANALYSIS OF A HEAT SINK WITH DIMPLES

In this paper, a numerical simulation is carried out to analyse the heat transfer performance of copper channel. COMSOLMULTIPHYSICS commercial software is used for the analysis. The material chosen for the channel is copper because of its good thermal properties. A channel with dimples on its base is chosen for the analysis. The heat transfer of the microchannel is found to increase with the use of dimples.Â

Comparison of postoperative recovery from desflurane and sevoflurane anaesthesia using laryngeal mask airway: a prospective randomized comparative study

Background: Ambulatory surgeries necessitate safe anaesthesia and faster recovery. Sevoflurane and desflurane are proved as such effective inhalational anaesthetic agents. The aim of this study was to compare early postoperative recovery profile in patient undergoing elective ambulatory surgical operations and receiving anaesthesia with sevoflurane or desflurane using supreme LMA.Methods: This prospective study was conducted at Jaslok Hospital and Research Centre, Dr. G. Deshmukh Marg, Mumbai, from August 2014 to April 2015. Patients were randomized into two groups receiving desflurane (Group D- n=40) and sevoflurane (Group S- n=40) for maintenance of anaesthesia. Patients were monitored for recovery by using fast track criteria (FTC) score at different time intervals.Results: The demographic characteristics, hemodynamic parameters were comparable in both the groups and no statistical significance was seen among them (p>0.05). The mean time taken for postoperative recovery characteristics were significantly lower in in Group D than Group S (p=0.00). The FTC score was significantly higher in group D as compared to group S at all times (p<0.05) for thirty minutes. The prevalence of consuming additional analgesic was 12.5% in group D and 15% in group S (p=1.000). The additional antiemetic requirement was seen in 10% patients in both the groups (p=1.000).The incidence of coughing was seen in among 5% of Group D patients and in none among Group S (p=0.152).Conclusion: The study concludes that desflurane is superior to sevoflurane with respect to time of eye opening, response to verbal commands, orientation, ability to sit, early recovery profile and duration of stay in recovery room