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The process of mining includes various methodologies and data classification is one of the advantageous methods involved in it. It not only eases the process of machine learning but also gives a platform for proper functioning of the process. There are cases wherein the data which is important or unidentified is missed during the process of classification. The process of mining is highly affected...
In this paper, the comparison of several optimization methods for solving the optimal multiuser detection problem exactly or approximately are discussed. The purpose of using these algorithms is to provide complexity constraint alternatives to solving this nondeterministic polynomial-time (NP)-hard problem. An approximate solution is found firefly based optimization which is used to provide an exact...
India has 1.4 million square-kilometers of land under cultivation and only about 39 percent is irrigated and other 61 percent is fully dependent on rain and if rain fails or gets delayed, crops fail driving debt ridden farmers to suicide. Agricultural output of India is the second largest in the world and India is second largest producer of cotton and one of the largest exporters of cotton in the...
Solid waste management is one of major aspect which has to be considered in terms of making urban area environment healthier. The common dustbins placed by the municipal corporation are leading no. of health, environmental and social issues. Various causes are there like improper dustbin placement in city, improper system of collecting waste by City Corporation, and more specifically people are not...
Feature extraction technique plays an important role in Automatic speech recognition. There are many techniques for extracting the speech features. Capability of various speech features for categorizing speech sounds differs and can be evaluated after applying classification or clustering model. As an alternative approach, a preliminary study (before classification) can be done about distinguishing...
Emotion recognition or affect detection from speech is an old and challenging problem in the field of artificial intelligence. Many significant research works have been done on emotion recognition. In this paper, the recent works on affect detection using speech and different issues related to affect detection has been presented. The primary challenges of emotion recognition are choosing the emotion...
Data quality is the most important variables for data warehousing. Numerous data warehouse ventures fall flat because of low quality of the data. It is trusted that the issues can be altered later and hence, a great deal of the reality of the situation will become obvious eventually spent to settle the errors. In the event that low-quality data nourished in the data warehouse, the outcome will be...
Online shopping is one of the most comfortable ways to shop in this new era of technology. People buy online products frequently and post their reviews about the products they have used. The viewpoint of the user will be in the form of tweets or product reviews which they post in an e-commerce site. These reviews will have significant role in deciding how far the products have been placed in peoples...
Current prospects of Internet of Things (IoT) is very strong for healthcare sector. It is also very popular due to its ability for sensing and measurements. In the low energy form, we have narrowband IoT (NBIoT). It is preferred in healthcare sector due to its low energy requirements. There are several proposals for the implementation of NBIoT in the healthcare sector. NBIoT has been standardized...
Cloud is the cluster of geographically connected network bearing information. Cloud Computing make feasible for multiple users to, share common computing resources, and to access and store their personal and business information. In cloud computing We stored data on server side as well on client side. Application like Dropbox provide service in such a way that data on server and on client machine...
The botnet, which mainly consists of bots that are remotely controlled that provide the platform for most of the cyber threats. The effective countermeasure against such botnet is provided by IDS (Intrusion detection system). IDS regularly observes and identify the presence of active attack by inspecting the vulnerabilities in network traffic. A payload-inspection-based IDS (PI-IDS) recognizes active...
Optical Character Recognition is the process of converting an input text image into a machine encoded format. Different methods are used in OCR for different languages. The main steps of optical character recognition are pre-processing, segmentation and recognition. Recognizing handwritten text is harder than recognizing printed text. Convolutional Neural Network has shown remarkable improvement in...
Road accidents are one of the world's major public health and injury prevention problems. According to the World Health Organization (WHO), more than a million children are killed in road accidents each year, all over the world. The motivation behind this work is an attempt to make an Arduino based embedded system which makes the passenger's journey even safer and more secure. This paper handles the...
A simple novel and low cost efficient all ZnO based homojunction p-i-n solar cell without any top transparent conductive oxide layer and aback reflector layer are numerically modeled using 2D device simulation tool ATLAS. Optimization of the different layers, doping level and power conversion efficiency of the model has been done. The spectral response such as transmissivity, reflectance, and absorptance...
Here, we have focused to process inconsistent data through imprecise queries from a database which consists of neutrosophic and vague set. Neutrosophic set is based on truth, indeterminacy and false membership values where as vague set is based on truth and false membership value. Firstly, we have applied two different similarity measure formulas to measure closeness of two neutrosophic data and vague...
The coming generations are using the wireless sensors, and all of these networks have been deployed across various areas. Also they are used with the real time systems thus catering to the needs of the present scenario which the traditional methods have failed. These wireless networks deploy sensors around the area, but the disadvantage lies that these sensors have very limited battery life, so to...
Many previous works have focused on detection of malicious user accounts. Detecting spams or spammers on twitter has become a recent area of research in social network. However, we present a method based on two new aspects: the identification of spam-tweets without knowing previous background of the user; and the other based on analysis of language for detecting spam on twitter in such topics that...
Distributed generation using hybrid systems is one of the new trends of power generation. These distributed generating units are integrated to form a micro grid to serve the loads among the locality, which is in connection with the utility grid for power exchange. These DGS can be operated at two modes grid connected mode & stand alone mode. Distributed generators can provide high reliability...
In this project, a conceptual design of a robotic exoskeleton for the neurological rehabilitation of temporomandibular disorder (TMD) is presented. Here, a PC based GUI interface and EMG and EEG based feedback system is used. The proposed system presents a lightweight, portable solution aimed at promoting user engagement in the rehabilitation process. The robotic exoskeleton provides a method of delivering...
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