Volume 10 | Issue 6

 Abstract

IDs and MRTDs (Identification and Machine- Readable Travel Documents) are used to perceive and authenticate identities in numerous situations which include crossing countrywide borders, in civil applications, income and shopping portals, or admission to transaction processing structures. These files have numerous safety functions which mitigate and fight record forgery. As those safety structures are tough to circumvent, crook assaults on ID verification structures are actually specializing in fraudulently acquiring true files and the manipulation of the facial portraits. To lessen dangers associated with this fraud problem, it's far essential the ones governments and producer of IDs and MRTDs constantly increase and enhance safety measures. With this in mind, we introduce the primary green steganography method StegoFace is an cease-to-cease facial photo steganography version this is fashioned through n Deep Convolutional Auto Encoder, that could cover a mystery message in a face portrait and, hence, generating the stego facial photo, and a Deep Convolutional Auto Decoder, that's capable of study a message from the stego facial photo.

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 Keywords

Deep Convolutional Auto Encoder and Decoder, Recurrent Neural Network, Binary Error Correction Code Algorithm, Document Identity Verifier

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Recognition of human action is one of the active research areas in Machine Learning (ML) for numerous applications. In Human Activity Recognition, feature analysis is a critical area of research for improving the classifier. For this investigation, the UCI dataset is used. This field contains lots of Feature Selection (FS) algorithms. FS enhances model performance while reducing model complexity and dataset dimensionality. As a result, the best features are identified using FS algorithms that are carefully chosen. The three FS algorithms that were used for comparison were Recursive Feature Elimination (RFE), Least Absolute Shrinkage and Selection Operator (LASSO) and Random Forest (RF). Three specific classifiers are used to compare these FS techniques. Performance evaluation metrics properly test the algorithm's performance, revealing which is the greatest among the others. The investigation's outcomes are presented using the tools PYTHON and RSTUDIO.

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 Keywords

Classification, Feature Selection, HAR, KNN, LASSO, Machine Learning, Multi-Layer Perceptron, Naive Bayes, Performance Evaluation, Random Forest, Recursive Feature Elimination, Support Vector Machine.

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 Abstract

One new binuclear Cu(II) coordination compound [Cu2(Pymox)2](ClO4)2 (1) of pyrimidine derived Schiff base ligand [where, PymoxH = 3-[(4,6-dimethyl-pyrimidine-2-yl)-hydrazono]-butan- 2-one oxime] has been synthesized and characterized by elemental analyses, IR and single crystal X-ray crystallography. Around the Cu(II) centre, complex 1 exhibits a distorted square planar geometry. Herein, diverse weak interactions, such as anion???? and lone pair???? interactions, have been explored in this paper, leading to various supramolecular structures. The supramolecular framework in the crystal packing of the examined molecule is responsible for these forms of weak interactions.

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 Keywords

Cu(II)/ Pyrimidine ligand/ Single crystal X-ray crystallography/ Weak interactions.

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According to the effect of the “globalization” Indian people are changed. Changing in sense of socially and economically people are forced to move away from their roots of their motherland. Imperialism has paid great impact on almost all the Asian countries and created their cultural changes on all human beings. Globalization marked with great cultural changes in all kinds of class, caste, religion and take away to culture is as artificial construct only. Literature is a mirror of society has succeeded to bring out the dilemmatic diasporic sensibility of global citizen. There are number of writers belongs to diasopric literature, who represent their own people and culture being on the foreign land like U.S.A. Chitra Benarjee Divakaruni is also one of the writer. This paper undertakes on various aspects of the cross-cultural intersections and study emerging, potent identity of the self. A woman wants liberalism in both socio and economical conditions. It represents the positions of woman in India and foreign land, who has been longing for self identity. Indian society is not considered equal in comparison to the perceptions of women with experiences of their male counterparts. Chitra Benerjee Divakaruni presents Indian women’s immigration to the United States as a journey from oppressed state and miserable conditions to freedom and discovery of the self with the influence and inspiration of the western culture. As a promised land America seems to be unfold abundant possibilities to help and realize the dreams of all estranged women characters, who achieves their lost wish and status of freedom in society in male dominant society.

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 Keywords

Immigration, Identity and independence, Tradition and modernity, Women’s voce, Cultural intersections, Diasporic Identity.

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 Abstract

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Machine Learning, Data Preprocessing, Logistic Regression, DT, RF.

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Mental stress is a major issue nowadays, especially among youngsters. The age that was considered once most carefree is now under a large amount of stress. Stress increase nowadays leads to many problems like depression, suicide, heart attack, and stroke. In this paper, we are calculating the mental stress of students one week before the exam and during the usage of the internet. Our objective is to analyze stress in the college students at different points in his life. The effect that exam pressure or recruitments stress has on the student which often goes unnoticed. We will perform an analysis on how these factors affect the mind of a student and will also correlate this stress with the time spent on the internet. In this paper, hybrid algorithm is proposed which combines Tf-Idf with Multinomial Naive Bayes and Tf-Idf with SVM. This can be reduced to an extent if such intimidating messages or comments are segregated. The process of classifying a sentence whether it is positive, negative or neutral is known as sentiment analysis. It helps in determining emotional tone behind a sentence. To classify these intimidating messages this paper proposes a Tf-Idf with Multinomial Naive Bayes and Tf-Idf with SVM approach which classifies reviews into positive or negative.

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Mental stress, SVM, Navie Bayes, Machine Learning

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-renewable energy integration, photovoltaic, battery electric vehicles, public grid, control charging system.

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Creative Commons Attribution 4.0 and The Open Definition

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Minoxidil, Aloe vera, HPMC, HPC, Carbopol-934, spread ability, skin permeation

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Creative Commons Attribution 4.0 and The Open Definition

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In this paper, in order to optimize the dynamic performance Of the permanent magnet synchronous motor (pmsm) Speed regulation system, a nonlinear speed-control algorithm for The pmsm control systems using sliding-mode control (smc) is Developed. First, a sliding-mode control method based on a new Sliding-mode reaching law (nsmrl) is proposed. This nsmrl Includes the system state variable and the power term of sliding Surface function. In particular, the power term is bounded by the Absolute value of the switching function, so that the reaching law Can be expressed in two different forms during the reaching Process. This method can not only effectively suppresses the Inherent chattering, but also increases the velocity of the system State reaching to the sliding-mode surface. Based on this new Reaching law, a sliding-mode speed controller (smsc) of pmsm Is designed. Then, considering the large chattering phenomenon Caused by high switching gain, an improved anti-disturbance Sliding-mode speed controller(adsmsc) method, called Smsc+eso method, is developed. This method introduces an Extended state observer (eso) to observe the lumped disturbance And adds a feedforward compensation item based on the Observed disturbances to the smsc. Finally, simulation and experimental Results both show the validity of the proposed control Method.

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BLDC,SEPIC converter,3-level DCMLI,DC-BUS voltage selector

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CoDuSe exercise, Balance, core strengthening, dual tasking, sensory strategy

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Creative Commons Attribution 4.0 and The Open Definition

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ANFIS,PSO,MPPT,ARDUINO NANO (micro controller), SOLAR PANEL,BATTERY,RPS,LDR,MOTOR DRIVE,MOTOR

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For any medical diagnosis, to predict the lung diseases and for medication purposes which are needed to cure or to prevent the lung diseases, medical scans are used in the diagnosis stage. In order to do this, it is a prerequisite step to provide an accurate lung CT image analysis such as lung cancer detection. Traditional method follows with human interaction where the doctor is supposed to examine the lungs region from the CT scan images of the lung. This may lead to several errors in predicting the disease or in medication that is to be given to the patient.This can be overcome by using the computer technology image segmentation where lung CT scan images can be segmented based on the requirement. In this project, lung CT image segmentation is proposed by U-Net architecture rather than segmenting with the traditional algorithms which are already implemented.

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 Keywords

Image Segmentation; U-Net Architecture; Deep Learning

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Creative Commons Attribution 4.0 and The Open Definition

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Shree Cement, Operational Performance Analysis, ANOVA, Percentage Change

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Creative Commons Attribution 4.0 and The Open Definition

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The main objective of this project is analysis for the crucial situation occurs in the automatic train system. In the railway surveying in many accidents cause multiple damage for life and also our property. So that this project to implement in two ways to save the train travel. For the one way is to determine the malicious in the train track incessantly, whether the track stipulation is good or not for use the vibration Sensor to check it. Next for them to avoid the obstacle crossing in train track, when the train is come. The main aspire in this project is to help our railway department to improve the automatic process. Also develop the requirement tools needed in that safe travel. But still the train collisions occur in may place not yet decreasing one. To control the main region in train system have been the gate level operation to using stepper motor in real time analysis. This is accurately done by using the proteus tool to get the better result.

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 Keywords

Track Fault, railway surveying & Wireless network system

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Precast concrete is well known technology in which some Standardized units which are manufactured in factories are used for fast Construction. Though the technology is developed many years ago but the Implementation is not up the mark in our country. In this study we have carried out detailed study of various concepts of precast, go through number of Literature & found the facts associated with it. Existing reinforced concrete Structures stock is wide and also includes buildings with precast elements, being largely used since Fifties primarily to satisfy needs of the manufacture and tertiary purposes. Their diffusion has been supported by flexibility of structural net dimensions and by the economy and efficiency of the constructional process. For this purpose, a reference project at Chennai location is taken and modelled in SAP2000 software to analyses the structure and design.

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 Keywords

Design, Dynamic Analysis, PT Slab, Flat Slab, Prefabricated Structure, SAP2000

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Social media is the primary source for Digital marketing with the use of Mobile applications which can share to the people to promote their business. Most of the population are using the digital platform with help of social media. Impact on social media on marketing can be judged while comparing with traditional marketing. The major purpose of the digital marketing is concerned with the customers and allow them to intermingle with the product through social media. The perception of 200 people were collected to know the clear idea about digital marketing.

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Digital Marketing, Social Media, Promotion, Perception

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Creative Commons Attribution 4.0 and The Open Definition

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With the advancement of the Internet period, the opposition in the market at home and abroad is turning out to be increasingly wild, and the utilization of public relations and advertising is an ever-increasing number of esteemed and applied by current endeavors. As an administration science, advertising is likewise an administration workmanship. It assumes a significant part in molding the picture of ventures, working on the inside and outer climate of endeavors, making social air and practical turn of events. In view of the job and meaning of little and medium-sized undertakings' advertising in the organization correspondence climate, this paper makes an exhaustive examination of the state of affairs of little and medium-sized ventures' advertising procedures, and investigations numerous issues emerging, and investigates the development proportions of little and medium-sized endeavors' advertising methodologies to give a reference to the future improvement of little and medium-sized undertakings in the organization correspondence climate.

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Network correspondence climate; little and medium-sized ventures; public relations and advertising

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Index Terms: IOT, MQ6, Gas Sensor, LPG Gas Leakage, NodeMCU.

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The purpose of this study was to investigate the extent to which overweight and obesity are challenges among primary school children in Belagavi districts. The study sought to investigate those aspects in terms of prevalence, causes and impacts on social, health as well as children learning behaviors and outcomes. Systematic random sampling was used to select schools while stratified sampling and simple random sampling were used in selecting children. Questionnaires, semi structured interview schedule and focus group discussion guides were also used. Findings revealed an average of 13.5% children, were overweight and obese. Economy status, were significant causes of overweight and obesity. Hypertension, excessive sweating were common to obese children. In addition, overweight and obese children were reported to underperform in academic and physical activities. The study revealed that overweight and obesity were not friendly healthy conditions to children, thus a need to work it out.

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Overweight and Obesity, Urban, Rural

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Creative Commons Attribution 4.0 and The Open Definition

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Internet of Things (IoT) represents the next phase of the internet revolution. The technology makes it possible to bring physical devices to the digital realm. Internet of Things (IoT) is quite a vast concept, but we can summarize it as an ecosystem that consists of smart objects with networks, sensors and processing technologies. It integrates and works together to create an environment providing smart services to end-users. IoT is an emerging technology platform that enables various devices around us to communicate with each other through sensors, connected via the internet to make our lives easier. IOT make objects 'smart' by allowing them to transmit data and automating of tasks, without lack of any physical interference. In this paper we have discussed different applications of IoT for users, IoT advantages and research challenges. The main objective of this paper is to provide overview and usage of Internet of Things (IoT), recent development of IoT applications. Lastly the paper focuses on challenges involved in IOT.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Things (IoT)

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Creative Commons Attribution 4.0 and The Open Definition