Classifiers in Image processing

Image classification is a necessary step in pattern recognition, the efficiency and accuracy mainly depends on the classification .To do the successful classification pre-processing, segmentation, at last feature extraction have to do. Recognition rate depends on all the steps but classification has its own importance in pattern recognition. Some important classifier such assupport vector machine (SVM),artificial neural network(ANN), decision tree, KNN etc. All has their importance in one or the other way. In this paper there is a discussion about many classifiers

Implementation of High Speed Railway Mobile Communication System

High speed railways (HSR) provide highly efficient transport mode which improves the quality of railway services, saves time of the passengers which leads to greater customer satisfaction as well as improves the economics of the society. This has introduced significant challenges like developing new technologies, improving the existing architecture and controlling costs etc. Due to the improvements in the speed, ability to access internet and stream live media there is a requirement of an advanced high speed communication and signaling system. This system demands higher bandwidth, higher reliability and shorter response time for efficient operation and safety. This paper introduces the existing system deployed by the railway based on Global System for Mobile communication (GSM) , analyzes it and presents a much more advanced communication and signaling system based on 4G Long Term Evolution (LTE) technology

A Survey on Feature Extraction Techniques for Handwritten Character Recognition

The efficiency and accuracy of the optical character recognition system is very much dependent on the appropriate choice of the feature extraction techniques used. In the field of pattern recognition hand written character recognition is an interesting field of research. If the features calculated or observed for a character are enough and complete to specify it then classification errors can be minimized. So feature extraction plays a vital role in the handwritten character recognition. This paper describes about the different techniques of feature extraction

A Real-Time Method for Detecting Temporary Process Variants in Event Log Data

During the execution of a business process, organizations or individual employees may introduce mistakes, as well as temporary or permanent changes to the process. Such mistakes and changes in the process can introduce anomalies and deviations in the event logs, which in turn introduce temporary and periodic process variants. Early identification of such deviations from the most common types of cases can help an organization to act on them. Keeping this problem in focus, we developed a method that can discover temporary and periodic changes to processes in event log data in real-time. The method classifies cases into common, periodic, temporary, and anomalous cases. The proposed method is evaluated using synthetic and real-world data with promising results

Evaluation of Artificial Lift Methods to Increase Oil Production from Depleting Oil Wells in Gulf of Mexico

This paper summarizes the research work with reference to artificial lift methods to increase oil production form mature oil wells in Gulf of Mexico.  Increase oil production or oil recovery from oil reservoirs is very important. If the average worldwide recovery factor from hydrocarbon reservoirs can be increased beyond current limits, it will alleviate a number of issues related to global energy supply. Currently the daily oil production comes from mature or maturing oil fields and reserves replacement is not keeping pace with the growing energy demand.   This paper presents big picture overview of artificial lift methods for mature oil wells in Gulf of Mexico

d0 Ferromagnetism in Li-doped ZnO Compounds

Recently, d0 ferromagnetic materials have been projected as one of the promising novel materials for spintronics applications. In this work, we have studied Li-doped ZnO compounds, i.e. Zn1-xLixO (x=0, 0.02, 0.04, and 0.06) samples, prepared by the solid-state reaction route method. From the study of crystal structure using X-ray diffraction (XRD) patterns, it is evident that the prepared materials have been formed in a single-phase of the hexagonal wurtzite structure. The refinement of the XRD patterns suggests that there are very small changes in the lattice parameters upon Li-incorporation in ZnO. The average crystallite size (SC), estimated from XRD patterns was found to be in the range of 35-50 nm. The microstructural study by scanning electron microscope reveals the uniform morphology of the grains of the order of 50-70 nm. The energy dispersive spectrum indicates that no unwanted ferromagnetic impurities have crept into the final prepared samples. The measurement of the temperature (T) variation of magnetization (M) with SQUID magnetometer indicates that undoped ZnO exhibits diamagnetic property but all Li-doped compounds exhibit room-temperature ferromagnetism and with a magnetic irreversibility behavior between zero-field cooled and field cooled M-T data. From the magnetization versus field measurements at 3 and 300 K, it is observed that Li-doped samples exhibit ferromagnetic loops with ultra-soft coercivity (~50 Oe) and with a maximum saturation magnetization of 0.10 emu/gm for x= 0.02 sample, which decreases with the increase in Li concentration.Comment: 16 page

Road Rage Menace: A Cross-sectional Study to Assess Driver Anger Level in Public Motor Vehicle Drivers in a City in Central India

Introduction: Road rage and aggressive driving is a prevalent condition in today’s society due to motorists’ frustrations during heavy traffic volumes. Objective: This study was done to assess the level of anger amongst the drivers of public transport vehicles in Indore, using Driving Anger Scale (DAS by Deffenbacher et. al.) and various factors affecting it. Material and Methods: A cross-sectional study was conducted among 135 drivers of Public transport vehicle drivers (Star bus, City-van and star cab drivers) in Indore to assess their anger level using Driving Anger Scale. The participants were required to record the amount of anger they would experience in response to each item in the scale (1=not at all angry, 2=a little angry, 3=some anger, 4=much anger, 5=very much angry). Results: The mean DAS score in Indore was found to be 3.013 and in the three organizations namely Star bus drivers, City van drivers and Star cab drivers was 2.92, 3.08 and 3.04 respectively. The DAS score of drivers with respect to the 6 sub-scales were: hostile gestures (Star bus -3.42,City van -3.67,Star cab -3.38), slow driving (Star bus -2.73,City van driv-2.78,Star cab-3.17), traffic obstructions (Star bus-2.85,City van -3.25,Star cab-3.18), discourtesy (Star bus -3.23,City van-3.33,Star cab -3.25)and police presence (Star bus -2.15,City van -1.99,Star cab -2.78), illegal driving (Star bus -3.04,City van -3.14,Star cab -2.89). The DAS scores of the drivers did not vary significantly with age group, experience, and educational qualification. Conclusion: Though DAS scores did not vary between the three groups of drivers, however average level anger for various given circumstances commonly found in the Indian traffic scenario was on the higher side