Volume 10 | Issue 6 |

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Creative Commons Attribution 4.0 and The Open Definition

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Multilevel Inverter, PD-PWM, Grid

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Creative Commons Attribution 4.0 and The Open Definition

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In India, air pollution is increasing day by day at the rate.The major reasons for increasing in pollution level are crops remain burnt, smoke from the motor vehicle, open defecation of smoke in atmosphere from the industries and burning the garbage openly. Internet of Things(IOT) based pollution system mainly issued to detect the current level of harmful gases in the atmosphere. In our day to day lives the quality of air determines the most because every living organism needs fresh air to live. This IoT based pollution monitoring system will help us to collect the data from any of the location where device is being installed. All the data will be visible in the smart phone app. In this project we have used the mobile application called Blynk . By the concept of IoT we can use various pollution devices at different locations and get the data to the smartphone through the app.

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Creative Commons Attribution 4.0 and The Open Definition

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Internet of Things (IoT), Gas sensor, Smoke sensor, Humidity sensor, AruinoUno, Blynk Smartphone app

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Postcolonial, commonwealth, literature, language, Gender

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Creative Commons Attribution 4.0 and The Open Definition

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Confidentiality is major task for every sector, keeping things confidential among the organization is the most important factors. Providing security for information is also major concern for the fast growth of the digital exchange of data storage and transmission. As there is rapid growth of using images in many fields, so it is important to protect the private image data from intruders. In this paper, we propose Email authentication for encrypted and decrypted image. In our framework, first, the confidential image will be encrypted using a symmetric key algorithm, Advanced Encryption Standard (abbreviated as AES) by the sender and the encrypted image will be send via Email to receiver. The Cryptographic algorithms provides security to the image, as we proposed AES to our framework it will become more difficult to crack the original image for intruders. Moreover there are some other encryption algorithms to encrypt and decrypt the image but Advanced Encryption standard has its unique features like it protects from brute-force attack and image takes less rounds to encrypt,etc. that gives more security compare with other symmetric algorithms. And Email provides a secure transmission of encrypted image. The above results and analysis for crypto system based on AES algorithm give a high performance. So we have reason to believe that use of this method to encrypt and decrypt the image and sending via Email will have a very good prospect in the future.

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Creative Commons Attribution 4.0 and The Open Definition

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Image, Cryptography, Encryption, Decryption, AES, SMTP, security analysis

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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SMART GLOVE FOR WOMEN SECURITY

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Creative Commons Attribution 4.0 and The Open Definition

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In modern days, person-computer communication systems have gradually penetrated our lives. One of the crucial technologies in person-computer communication systems, Speech Emotion Recognition (SER) technology, permits machines to correctly recognize emotions and greater understand users' intent and human-computer interlinkage. The main objective of the SER is to improve the human-machine interface.It is also used to observe a person's psychological condition by lie detectors. Speech recognition has been used in medicine and forensic medicine.Automatic Speech Emotion Recognition(SER) is vital in the person-computer interface, but SER has challenges for accurate recognition.In this work to resolve the above problem, automatic Speech enhancement shows that deep learning techniques effectively eliminate background noise.Using Deep leaning models for four states were created: happy, sad, angry, and intoxicated. Recurrent Neural Network (RNN) algorithm used to reduce the possibility of over fitting by randomly omitting neurons in the hidden layers. For accurate classification results, preprocessing filters extract voice and non-voice features from speech. Then feature selection is extracting the speech relevant features to predict accurate results.The proposed RNN method could be implemented in personal assistant systems to give better and more appropriate state-based interactions between humans. In the simulation results shows Improving accuracy, Time complexity, Error rate is also reduced to using the proposed method.

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Creative Commons Attribution 4.0 and The Open Definition

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Speech Emotion Recognition (SER), Speech emotion detection, deep leaning, Recurrent Neural Network (RNN), preprocessing, feature extraction.

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Creative Commons Attribution 4.0 and The Open Definition

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Early life has increasingly been recognized as a time frame in which nutritional requirements rise and lifetime diet and lifestyle taste and preferences are founded, not just as an initial moment of opportunity for catch-up growth (Goldberg GR et al. 2013) but also as a period in which nutritional requirements growth and long-time dietary interests are established. These practices can have an effect on the health status of teenagers and also coming generations (Viner RM, 2013). The aim of the study is to assess awareness on the ill effects of street food among school students. Descriptive research design been used in this study. It is concerned with describing the social demographic characters along the economic, street food issues, spreads germs and bacteria, hygienic methods, and the problems related to consumption of street food among school students. The universe of the study is 9th standards boys and girls who are studying in private higher secondary School in Trichy. There are 124 boys and 86girls who constitute the universe of the study. The researcher selected 50, 9th grade students for this study by using simple random sampling (lottery method). The research used self-prepared questionnaire covering their awareness on the ill effects of street food among school students. Major findings of the study is discussed in the full paper.

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Creative Commons Attribution 4.0 and The Open Definition

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Adolescent, Students, Awareness, Ill effects and Street food.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Indian Early Childhood Education, Reggio Emilia Approach, Montessori Vs Reggio Approach

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Creative Commons Attribution 4.0 and The Open Definition

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A Environmental protection is an important issue in 2 recent decades, and renewable energy is an ideal solution for eco-friendly power generation. Solar-power generation is a popular renewable energy with low cost and small environmental footprint, which leads to exponential growth and high industrialinvestment. A mature solar business model has been established, but some uncertainties hinder the development, especially whenfocusing on the lack of solar-radiation. To address these issues,in this paper we propose a hedging system to hedge the low10 radiation risk for solar-investors through the designed IoT-basedata, edge-based models for predicting solar-radiation as well as hedging options. Our experimental results show that the edge-based predictive models can obtain an R-squared value of 0.841 and a correlation coefficient of 0.917. For binary options designedin the hedging system, the broker can obtain stable payoffs withthe highest Sharpe ratio of 3.354, and the investors can obtainlarge payoffs during low-radiation. Our simulation results showthe effectiveness of the proposed hedging system for investors(buyer-side), simultaneously, present the motivation of the broker(seller-side) to join the designed hedging system utilized in solar21 power generation.

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Creative Commons Attribution 4.0 and The Open Definition

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Environmental protection is an important issue in recent decades, and renewable energy is an ideal solution for eco-friendly power generation. Solar-power generation is a popular renewable energy with low cost and small environmental footprint, which leads to exponential growth and high industrial investment. A mature solar business model has been established, but some uncertainties hinder the development, especially when focusing on the lack of solar-radiation. To address these issues, in this

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Creative Commons Attribution 4.0 and The Open Definition

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A huge amount of data is being generated everyday through different transactions in industries, social networking, communication systems etc. Big data is a term that represents vast volumes of high speed, complex and variable data that require advanced procedures and technologies to enable the capture, storage, management, and analysis of the data. Big data analysis is the capacity of representing useful information from these large datasets. Due to characteristics like volume, veracity, and velocity, big data analysis is becoming one of the most challenging research problems. Semantic analysis is method to better understand the implied or practical meaning of the input dataset. It is mostly applied with ontology to analyze content mainly in web resources. This field of research combines text analysis and Semantic Web technologies. The use semantic knowledge is to aid sentiment analysis of queries like emotion mining, popularity analysis, recommendation systems, user profiling, etc. A new method has been proposed to extract semantic relationships between different data attributes of big data which can be applied to a decision system. The proposed model associates with genetic algorithm and association rule mining in Map Reduce platform to find out features from big data that helps users to make better decisions. The task for finding frequent item sets from big data is very difficult as well as huge time consuming.

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Creative Commons Attribution 4.0 and The Open Definition

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SENTIMENT ANALYSIS

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Creative Commons Attribution 4.0 and The Open Definition