An Effective Algorithm for Correlation Attribute Subset Selection by Using Genetic Algorithm Based On Naive Bays Classifier

In recent years, application of feature selection methods in various datasets has greatly increased. Feature selection is an important topic in data mining, especially for high dimensional datasets. Feature selection (also known as subset selection) is a process commonly used in machine learning, wherein subsets of the features available from the data are selected for application of a learning algorithm. The main idea of feature selection is to choose a subset of input variables by eliminating features with little or no predictive information. The challenging task in feature selection is how to obtain an optimal subset of relevant and non redundant features which will give an optimal solution without increasing the complexity of the modeling task. Feature selection that selects a subset of most salient features and removes irrelevant, redundant and noisy features is a process commonly employed in machine learning to solve the high dimensionality problem. It focuses learning algorithms on most useful aspects of data, thereby making learning task faster and more accurate. A data warehouse is designed to consolidate and maintain all features that are relevant for the analysis processes

A retrospective analysis of acute organophosphorus poisoning cases admitted to the tertiary care teaching hospital in South India

Objectives: We have herein reported our experience with the pattern of presentation of cases of acute organophosphorus (OP) poisoning cases in a tertiary care hospital.Materials and Methods: This retrospective study evaluated the hospital records of patients with acute OP poisoning. In a pre-structured proforma, data regarding age, sex, time elapsed after intake, circumstances of poisoning, duration of hospitalization, severity, complications, and outcome of the patients were recorded. The data were presented as mean ± standard deviation, entered in the open office datasheet, and analyzed with PSPP software.Results: A total 101 patients were included in the study. Young adult males were more commonly involved than females (M:F 2.5:1). The mean age of the patients was 28 years (range 2-72 years, SD ± 14.3 years). Mean time to receive treatment was 5.2 ± 7.4 (range 1-48 h). About 45.5% patients received first aid before coming to the hospital. The reason was suicide in 88.1% cases and accident in 12 (11.9%, all children). Seventy-nine  patients received pralidoxime (PAM) and the mean duration was 1.7 ± 1.1 (range 1-4 days). Atropine was given in all patients. Mean duration was 5.1 ± 3.1 (range 1-19 days). Mean hospital stay was 7.5 ± 4.7 days (range 1-26 days). Mortality was 9.9% in the present series.Conclusion: Although the present study contribute substantial information regarding the epidemiology and outcome of acute OP poisoning in a tertiary care teaching hospital at a district level, its relatively small sample size and the retrospective record-based nature are the major limitations of the present study. There is a further need for prospective studies to understand the underlying socio-economic factors responsible for acute OP poisoning in our population, and, accordingly, address the problems to reduce the incidence of acute OP poisoning cases.Keywords: Acute poisoning, organophosphate poisoning pattern, outcome, tertiary care hospita

Experimental and Numerical Investigations of Deep Drawability of AA1200

The ability of a sheet metal to be formed in a given process without failure is known as formability. Formability is a measure of the amount of deformation a material can withstand prior to fracture or excessive thinning. Forming Limit Diagram (FLD) is a graphical representation of limit strains at which necking/fracture occurs in a sheet metal under all possible modes of deformation. Anisotropy is the variation in properties with respect to directions, due to variations in microstructures introduced in forming operations such as rolling. The values of strength (YS and UTS) and ductility (% elongation) show a large variation in mechanical properties because of the differences in as rolled specimens, annealed specimens, and different thickness of the Al sheets. From the LDH test the limiting strain values and the formability of sheet metal were found to increases with increasing sheet thickness

Drowsiness Detection and Vehicular Safety System for Monitoring the Loss of Attention in Locomotive Drivers

In a creating country like India, with progression in the transportation innovation and ascend in the complete number of vehicles, street mishaps increments are often. The fundamental driver behind these street mishaps are the absence of preparing establishments, untalented drivers, poor street conditions, utilization of PDAs amid driving, expending liquor while driving, over-burdening and poor administrative plans in such manner. The proposed work is to alarm the driver when he is lazy or diverted far from typical ready mode to non-ready mode by methods for ringer or vibration instrument. In this task, constant information is gathered by camcorder and other miniaturized scale electro mechanical framework gadgets (MEMS). This information gives data about driving state of the driver which goes about as contribution to controller. The suitable measures are taken by the controller to alarm the driver.

The Heat Kernel on AdSAdS

We explicitly evaluate the heat kernel for the Laplacian of arbitrary spin tensor fields on the thermal quotient of (Euclidean) $AdS_N$ for $N\geq 3$ using the group theoretic techniques employed for $AdS_3$ in arXiv:0911.5085. Our approach is general and can be used, in principle, for other quotients as well as other symmetric spaces.Comment: Added references, added appendix on heat kernel in even dimensio

Conceptual Design of Fuel Dumping System in Aircraft

Airlines release the unburned jet fuel into the atmosphere to reduce the weight of aircraft before landing. Sometimes, aircraft reach a weight more than takeoff weight while departing from the airport. Therefore, the pilot follows the ATC comment to dump fuel into the atmosphere to reduce the aircraft\u27s weight to avoid accidents. Due to fuel dumping, an airline faces fuel consumption, loss, and several diseases affect environmental pollutants, and living things. The total fuel consumption of commercial airlines worldwide in 2021 is 57 billion gallons. If jet fuel routinely hit the ground, it would pollute water and land and damage crops and biodiversity. With this, we have worked on the project to rescue fuel dumping into the atmosphere and save living things from various diseases

DESIGN AND COMPARATIVE CFD ANALYSIS OF SHELL AND TUBE HEAT EXCHANGER

Heat exchangers are one of the most important components of the processing industries and also power plants. The pressure drop and the temperature variation in them are altered based on the component design as per operating parameters. As an integral part of design, baffles which are part of the heat exchanger serve the purpose in altering the pressure drop. In order to reduce the flow induced vibrations and reduce pressure drop different types of baffles are being designed and used and one such baffle is helical baffle. Helical baffles force the flow through the system be to be rotational and follow a helical path due to the geometry of the continuous helical baffles, which results in a significant increase in heat transfer coefficient per unit pressure drop in the heat exchanger. Besides this a properly designed continuous helical baffles can reduce fouling in the shell side and prevent the flow-induced vibration as well. In the current study an attempt has been made to understand the influence of baffle design on the pressure drop in the heat exchanger. A comparison was made between a segmental baffled, helical baffled and a bafflesless heat exchanger by designing the baffles and performing CFD simulation using CATIA V5 and ANSYS 15.0. It was concluded from the results that helical baffles which are our primary interest of study showed an effective pressure drop of 0.17134Pa which varied slightly from the other two. Further the pressure drop can be improved by modifying the design of heat exchanger with helical baffles

Anti-Theft Protection of Vehicle by GSM GPS with Fingerprint Verification

This paper focuses on preventing car theft using microcontrollers and GSM modules. We are generating the results with better accuracy and proficiency. It can be helpful to those people who want better and more advanced security in their vehicle

DESIGN OPTIMIZATION AND ANALYTICAL INVESTIGATIONS OF HALLOW EXHAUST VALVES IN I.C ENGINES

An engine valve is a mechanical device that regulates the supply of fuel to an engine. It is an important part of any engine system and comprised of a stem and a head. Exhaust valve is precision engine components used to open to permit the burned gases to exhaust from cylinders . The heads of the valves are subjected to the high temperature of the burning gases. The Exhaust valves may reach a temperature of 800o cherry red. It is essential that they should not warp under the influence of the heat, and that their seats should not scale or corrode, as in either case they would become leaky. Therefore exhaust valve are exposed to serve thermal loads and chemical corrosion. Exhaust valve opens and closes as many as 2000 times per mile. In this thesis, various designs of hollow exhaust valves are modeled using CREO. The modeled hollow valve designs are 1) Straight hollow portion from top of the stem to the bottom of it. 2) Two hollow portions which are collinear to each other. 3) Two parallel hollow portion with a beam at the center. The hollow portion of the designs are filled with sodium. Each of the modeled design is analyzed by CFD software Fluent. It was found that the design 3 had better heat dissipation than other designs. The volume of sodium content affected the heat dissipation property and material surface affected the strength of the exhaust valve. The alternate simple fabrication method is proposed to reduce the complexity of the fabrication metho