Volume 8 | Issue 6 |

 Abstract

The initial symptoms of diabetes are very difficult to identify as it cannot be detected early, it results in causing other diseases. Eye retina is mainly affected by diabetes. Iridology helps us in detecting diabetes in early stages. By using this method we can identify the state of body organs before the organs affected by disease. In this paper, we are developing an application to detect diabetes at early stages by using image processing[1]. The pre-existing systems are developed based upon algorithms like k-map, support vector machine ( svm ), decision trees etc. but those are very difficult to develop and understand for further development[3]. To overcome these difficulties, this paper proposes a new system in which we detect symptoms of diabetes in early stagesIn our venture we took eye pictures of 40 individuals having sound eye and another 40 individuals having diabetes influenced eye by utilizing 2D wavelet tree. The exactness got by our examination is 87.50%.

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 Keywords

2D discrete wavelet transform, Support vector machine, Gaussian polynomial,Radial basis function(RBF)

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 Abstract

The main focus of this paper is on detection of arc fault and flash in DC photovoltaic (PV) system and DC grid which may causes fire hazard, personnel shock hazard and damage other system elements or appliances. A notable complication to their detection is that arc in dc system is not periodic, and thus may not have easily perceptible amplitude or frequency signature for pattern recognition based detection technique. Wavelet transform (WT) provides a time and frequency approach to analyze target signals with multiple resolutions. This paper proposes an effective method based on WT and support vector machine (SVM) for detection arc fault in DC PV systems. The process of detecting an arc fault involves signal analysis and then feature identification from system voltage signals. SVM is then used to identify arc fault location. Simulation results are synthesized to study and verify the accuracy of proposed methodology.

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 Keywords

PV system, arc fault detection, wavelet transformation, multi-resolution signal decomposition, support vector machine.

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 Abstract

THIS IS AN ARTICLE REGARDING THE CYBER WORLD AND FICTION

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 Keywords

CYBER

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 Abstract

There is no denying of the fact that English has become a universal language. In the academic as well as in the professional world, English has been the basic medium of communication. In this globalized world, the job scenario involves many dimensions of assessment in the form of competitive examinations and personal interviews and for this English serves as the medium of communication. Hence there needs to be a change in the way of learning and teaching English language. As change is the law of nature, a trend is the general tendency or direction towards change. With various educational options available before the present generation, the newer trends and innovative techniques seem to have emerged in the field of education that have completely changed the facet of traditional system of education. Recent developments portray the vital role of education sector in general with the internalization of the education process, stress on quality above quantity, necessity for professional values etc. In the last decades, many books have been published in English about English language in general and teaching of English language in particular. Over the years, English language teaching has undergone tremendous changes. Nowadays, the need for graduates to merge successfully in the competition of survival in the global market is in great demand. Seasons change, attitudes of human beings change as well as fashion changes, therefore in the field of education too, a change is required. As for as ELT is concerned, the methods and techniques are constantly evolving in this field. E-learning has initiated new dimensions in the classroom. The present paper analyses the various innovative techniques like the role of E-learning in the English Language Teaching. E-learning is learning supported through the use of information and communication technology. The recent advancement in technology offers E-learning as an alternative to the traditional mode of lecture method followed in the teaching of English.

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 Keywords

Globalised, Communication, Innovative, Technology, E-Learning

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 Abstract

With great development in Science and Technology, the privacy and security of various organizations are condensed. Computer Intrusion and attack detection has always been a significant issue in networked environment. In most cases, there are two levels in which an intrusion may takes place i.e., in system level and the network level. Distributed Denial of Service is one of the network level attack. Distributed Denial of Service (DDoS) attack results in non-availability of services to the user. In case of organizations, this attack can result in a huge loss in terms of money or reputation since the clients of the organization cannot utilize the resources provided by that particular organization. The proposed solution to overcome this kind of attacks is, to monitor the network that is being attacked. The monitored network is analyzed and few parameters are considered from the analyzed network. These parameters are given as input data sets to machine learning algorithm for the classification of the data set. The algorithm classifies the data sets for the packets, causing the attack. These packets are then identified and terminated from the network that is being monitored.

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 Keywords

Minimet, Scapy, SVM, Wireshark.

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 Abstract

Acute Otitis Media (AOM) is a common ear disease encountered in children below three years. Amoxicillin clavulanate is the first line drug in treatment of AOM in paediatric age group. Although Cefpodoxime has shown good antimicrobial activity against various types of pathogen that are labelled as main causative microorganisms of AOM in paediatric age group. In this study to try to compare the efficacy and safety of cefpodoxime and amoxicillin clavulanate in the treatment of AOM in children below three years of age. This study was a prospective longitudinal study which was conducted on children diagnosed with AOM who were less den three years of age. 30 children were included in our study, 15 in the Group A (amoxicillin clavulanate) and 15 in the Group B (cefpodoxime). The outcome of the study was assessed in two variants one was the clinical success rate at day 7 visit and other was any incidence of some kind of Adverse Events during the treatment period. The clinical success rates were 94.4% in Group A and 93.4 % in Group B. These rates were comparable with no statistically significant difference between the two groups. No side effects and adverse effects were observed in cefpodoxime group and the drugs were well tolerated in all patients whereas diarrhea was seen in three patients who were put on amoxicillin. The results of our study showed that a 7 day course of cefpodoxime was found to be therapeutically comparable to amoxicillin-clavulanate in terms clinical success with diarrhoea being seen in two patients who were put on amoxicillin clavulanate for the treatment of AOM in children below three years of age.

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 Keywords

acute otitis media (AOM), side effects, antimicrobial agents, safety

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 Abstract

The main aim of this paper is to deal with the problems faced by the patrolling officers regarding their allotted patrolling duties. Thus, this paper aims to develop a device that would be serve as a patrolling assistance to them. One of the biggest problem that the patrolling officers face in day to day life is the fact that the patrolling officers face due to their hectic and overburden duty that they are assigned to. The technology proposed in the paper consists of a LIVE STREAMING PATROLLING ROBOT which offers a perfect solution to this. Thus we can say that the aim of this paper is to address the development work of a patrolling robot and can be said as, the device which with the help of night vision pie cameras and live recording of the patrolling site or the area that is to be detected and the manually operated directions provided to the robot provides the better patrolling of the desired area and act as the as the best and the most suitable aid to the patrolling incharges .

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 Keywords

Remote Control, Live Streaming, Vnc Viewer, Rasberry pie

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In a nutshell? food cooking industry uses microwave, conduction or convection based system for making dishes. Proposed system is used to make a universal cooking system, with microwave and conduction methodology; here two shelves are available for users. One shelf is for microwave and other one is for conduction oven. In conduction compartment desired system uses PID based controller and thermocouple based feedback system for maintaining constant temperature ?for cooking with less response time and better stability control. Desired system is User interaction product, provided with LCD and keypad modules to select different temperature and timing based operation. Thus the developed system is more reliable.

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 Keywords

Microwave, Conduction Oven, PID Controller, Temperature, Thermocouple, Feedback system, Set Point, Overshoot, System, Heater, Arduino, MATLAB Simulink.

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Due to its huge application in intelligent transport systems, road accident detection is now one of the most interesting sectors. Having to be untrained drivers who consume alcohol while driving over speed, sleep while driving is the main causes of these road accidents. There have been numerous solutions to prevent such accidents on the road. But this was not prevented by any of them. Within this paper we present an innovative LIFI accident identification. This paper provides a smart system for the prevention and detection of accidents for human safety. This component has various sensors such as eye blink sensor, alcohol sensor, ultrasonic sensor and MEMS sensor. If the sensor detects a low distance between the rider and drunken alcohol, then the data can be sent to the other vehicle, which is going ahead. And if the driving driver sleeps, the eye-blink sensor detects it and warns the driver. Simultaneously speed is reduced to the engine. This document is very useful for accident control detection and monitoring by transmitting and receiving signal into LIFI sensors precisely.

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 Keywords

LIFI (Light Fidelity); Accident detection; Ultrasonic sensor; Eye blink sensor; Gas sensor; MEMS sensor; Arduino, LCD

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Creative Commons Attribution 4.0 and The Open Definition

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Consuming good, healthy and quality fruit is the utmost requirement of the consumer. Hence, automation in food industries is growing in recent times. Because it is impractical for humans to manually inspect the fruits as it requires a large number of labors as well as requires a lot of time and effort. This paper proposes a system which is capable of detecting and classifying the fruits as affected or not based on surface using Faster R-CNN model. As this system is automatic, it cuts down the traditional/manual method of fruit inspection, which takes a lot of time, labor and effort. This system will not only save the cost of labors but will also give a high accuracy.

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 Keywords

quality, automation, Faster R-CNN, Object detection, TensorFlow

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Creative Commons Attribution 4.0 and The Open Definition