Reviewerly/exHarmony huggingface dataset:
Big Data Analysis Based on Machine Learning Techniques

Most of the online applications such as Amazon, Snap deal, Flip cart and many others, attract customers by presenting user reviews about the services. These services typically include hotels, flights, cabs, holiday plans and many more. The main objective of this paper is to automatically analyze the feedbacks data given by the customers into positive, negative and neutral categories and gives a summarized review in case of multiple sentences is present in the feedback. In this proposed work various sources of data; namely from Flip cart, Snap deal is considered. The method to analyze the data include collecting the data from the mobile/web application sources, filtering the unwanted data, preprocessing and finally analyzing and summarizing the reviews using supervised machine learning techniques.
A Computational Model for Deducting of Prickle Noise From Satellite Galaxy Images

Images are intended to exhibit vital information and play an important role in technology and innovation. During their discovery, the main drawback of digital image is the level of noise and depletion. This article introduces a predictive model for satellite galaxy images to infer dull throb noise.The existing filtering techniques for image noise are presented and perhaps an approach is adopted by ascribing variability of pixel values to stuck up cells to discern dull throb noise. Approaches to image reconstruction can preserve image details while suppressing noise from the prickle.This technique's working standard is implemented and reviewed using MATLAB with visualization effects. Outcomes of experiments are compared with indicators of image quality
Integrity Verification Mechanisms Adopted In Cloud Environment

Cloud computing has changed the shape of computing world. Now a-days users are not worried about the computational cost and infrastructure cost because of the maximum availability of all the resources are available on demand. The most widely used feature used by the users are storage as a service given by the cloud computing providers. Users can upload and access the data anywhere anytime time with the help of internet access. As with the usability of the storage as a service, is increasing the risk of security of the information are also increasing. Data security on the cloud is the prominent area for researchers and number of techniques and algorithms has been proposed to assure the integrity, consistency and data availability. In this paper a number of data auditing mechanism used by different cloud providers have been discussed and optimized integrity verification mechanism have been proposed to overcome the limitations of existing approaches. The communication overheads are compiled and calculated with different input data size. A comparative analysis is also prepared to justify the proposed approach.
Classification of Breast Cancer Patients Using Neural Network Technique

This work develops an Artificial Neural Network (ANN) model for performing Breast Cancer (BC) classification tasks. The design of the model considers studying different ANN architectures from the literature and chooses the one with the best performance. This ANN model aims to classify BC cases more systematically and more quickly. It provides facilities in the field of medicine to detect breast cancer among women. The ANN classification model is able to achieve an average accuracy of 98.88 % with an average run time of 0.182 seconds. Using this model, the classification of BC can be carried out much more faster than manual diagnosis and with good enough accuracy.
Efficient Retrieval Of Html Documents Using Hybrid Meta-Heuristic Approaches In Web Document Clustering

With the rapid growth of web documents on WWW, it is becoming difficult to organize, analyze and present these documents efficiently. Web search engines return many documents to the web user, out of which some are relevant and some irrelevant documents to the topic, for the given query. Web search is usually performed using only features extracted from the web page text. HTML tags with particular meanings have been found to improve the efficiency of the information retrieval System. However, organizing documents in a way that will improve search without additional cost or complexity is still a great challenge. Clustering can play an important role to organize such a large number of documents into several groups. However due to limitations in existing techniques of clustering, scientists have begun using Meta-heuristic algorithms for the clustering problem of documents. In this paper, we presented a document clustering method that uses HTML tags and Meta-heuristic approaches. The hybrid PSO+ACO+K-means algorithm is used for clustering the documents. In the proposed approach, results are analyzed on WEBKB dataset
Reversible and Tunable Data Hiding with Advanced Video Coding

Due to broad usage of digital broadcasting application, information can be hackneyed and duplicated. Hence, multimedia security &amp; copy right protection is becoming crucial. Steganography is an outstanding apparatus in providing protection as well as security to multimedia information by hiding digital content. H.264/Advanced Video Coding (AVC), a recent international standardized video coding technique which is under expansion, has presented a major revolution in video compression efficiency. The encoding efficiency of AVC is sophisticated than previous ethics such as H.263. In this paper, a complexity video embedding on H.264 is employed. So as to hide the secret image, chaos image encryption technique has been used where shuffling positions and altering grey values of image pixels are done. The secret image is embedded into video sequences by varying coefficients of I and P Frames. In decoding process, embedded information can be extracted without loss of compressed video content. Applications of proposed method include medicine, military where loss of carrier data is not permitted. Proposed model affords an overview of technical features and relative characteristics of H.264 standard that gives good PSNR and embedding capacity.
Reframing Healthcare

Healthcare systems are faced with increasingly complex demands: ageing populations, chronic diseases, growing drug ineffectiveness, and access to comprehensive services are just a few of the challenges we face. Design offers methods, practices and processes to help address these rising complications. While design and health have a long history of working together, much of this work has been limited. In this paper, we make the case for further opportunities for design and health to work together in deep, innovative and human ways. We begin by discussing the transformative space of design, then we articulate the similarities between design and healthcare. We then present two health design research projects that employ design methods and processes within healthcare settings, exploring new opportunities for design and health to collaborate. We conclude by summarizing the benefits and challenges of these projects, articulating future possibilities for design and healthcare to collaborate.
INFORMATION RETRIEVAL AND WEB SEARCH

This article discusses Web search engines; mainly the challenges in indexing the World Wide Web, the user behaviour, and the ranking factors used by these engines. Ranking factors are divided into query-dependent and query-independent factors, the latter of which have become more and more important within recent years. The possibilities of these factors are limited, mainly of those that are based on the widely used link popularity measures. The article concludes with an overview of factors that should be considered to determine the quality of Web search engines.
Referee Comment for SOIL-2019-94

This paper aims to quantify the erosion and sediment deposition rates in the Karst region of Southwest China using 137Cs tracing technique.Further, the authors evaluated the relationships between 137Cs and selected soil properties (soil pH, total nitrogen, total phosphorus, and SOC content) by PCA analysis.The purpose of this study is worth giving the intensity of soil erosion in the area.However, I have many concerns about the conclusions:1.The authors only sampled 10 soil cores (nine along 3 transects and one from the depression).I think the size of samples is inadequate for obtaining a catchment-scale
The Readability of the Management Discussion and Analysis Section and Footnotes of 10-Ks: The Case of the Gas and Oil Industry

The Gas and Oil industry, of which individuals own 65.5% of the stock, is a key sector of the U.S. economy. (Shapiro and Pham, 2014) Readable information on this industry is important to the U.S. economy and individuals particularly regarding retirement fund decisions. Determining the reading level of the Management Discussion and Analysis Section (MDA) and footnotes of the 10-K for the oil and gas industry is the purpose of this study. The MDAs’ average Flesch Index was 12.93. The footnotes’ average Flesch Index was 12.57. Given these scores and the average reading level of adults most are unable to understand them.
Faster and optimal detection of parametric shapes

In this project, an analysis of the faster detection of shapes using Randomized Hough Transform (RHT) was investigated. Since reduced computational complexity and time efficiency are the major concerns for complex image analysis, the focus of the research was to investigate RHT for these specific tasks. Also, a detailed analysis of probability theory associated with RHT theory was investigated as well. Thus effectiveness of RHT was proven mathematically in this project. In this project, RHT technique combined with Generalized Hough Transform (GHT) using Newton's curve fitting technique was proposed for faster detection of shapes in the Hough Domain. Finally, the image under question was enhanced using Minimum Cross-Entropy Optimization to further enhance the image and then RGHT process was carried out. This helped the RGHT process to obtain the required time efficiency.
Using Xcode

Before you start writing Swift code and designing user interfaces, take a moment to get acquainted with Xcode, Apple’s free tool for creating apps. Xcode offers so many features because it’s designed to handle all your needs in creating an app from start to finish. Fortunately, you won’t have to learn every single feature of Xcode to start creating apps. Instead, you can just focus on learning only the features you need and gradually learn any additional features of Xcode later. Xcode provides the following features to help you create apps for all of Apple’s products:
Enhance Security for Authentication

An enhanced security for authentication is defined because it is vital that authentication is an extremely important crucial robust process for each user to access any of the applications. Magnificent growth and usage of the internet raise agitate about the way to communicate, protect data and sensitive information safely. In today’s world hackers use differing types of attacks in order to acquire valuable information. Many of the attacks are primarily used to get into an application to steal the credentials followed by internal information of the users. The first thing of security is defined in three terms. i.e., confidentiality, integrity and availability. Confidentiality can protect information from unauthorized access and exploiting of sensitive data. Integrity measures protect information from unauthorized alteration. Whereas availability so as for a data system to be useful it must be available to authorized users. The most objective of this paper is to supply information about confidentiality in terms of multifactor authentication. Confidentiality plays a serious role in terms of authentication. Authentication is the process of proving or showing to be true. This includes confidentiality and integrity. The improved security for authentication is additionally known for multifactor authentication for the users. This multifactor authentication is implemented for an android application using a visual-picture login technique to access the an application.
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An Effective Technique on Clustering in Perspective of Huge Data Set

Analysis of data plays a crucial job considering the different phenomenon. It explores the prior knowledge, consisting of development across the extensively different communities. Cluster technique is the collecting of data object placed into groups. Therefore objects are the same nature or similar place within a cluster different nature (i.e. dissimilar) put in other cluster. Differences and likeness are refereed on the attribute values say that the objects involved in measuring distance. We have reviewed a few clustering techniques for data sets in data mining of various field of computer science and engineering, statistical, machine learning and a novel attracting field of demanding efforts. Several closely related concepts of neural network, fuzzy and genetic algorithm are also discussed. In this research paper to also discussed the facebook data set to mining the attributes from the cluster set to changing the mean square error 0-10 -6 and also discuss measuring the performance.
Summarizing Technique Applied by Students at The Second Grade of SMAN 3 Langsa

This aim of research was to find out kinds of summarizing technique that used by students at the second grade of SMAN 3 Langsa. Summarizing technique involves stating a work paragraph and main idea, simply, briefly, and accurately. The method of this study used qualitative method with descriptive design. The subject of study was 15 students of XI IPA7. The data were collected by using observation, interview, and documentation. Based on the result of research, the researcher found that summarizing technique that used by the students at the second grade XI IPA7 SMAN 3 Langsa were Precise summarizing technique. Precise summarizing technique is to read the contents of the text as a whole then to make conclusions from the text they read by using their own language as a whole. They summarize the ideas and thoughts they have compared to using the language in the text. In addition, students were also enthusiastic in reading English text because it developed their vocabulary mastery, explained their knowledge, and trained their creative thinking skill.
Robust and Efficient Person Re-Identification Model using K-Nearest Neighbor Graph

the state-of-art person re-identification (prid) models for ranking generally depends on labeled pairwise feature sets information to learn a task-dependent distance metric. Further, in retrieval process, re-ranking is an important mechanism for enhancing the accuracy. However, very limited work is carried out for designing a re-ranking method, particularly for automatic and unsupervised strategies. The existing re-ranking based prid model is not efficient when multiple persons appears simultaneously in second camera. This is because the existing model identify person in second camera by matching the feature sets with feature sets in first camera, individually with respect to other person in the second camera. For overcoming research problem, this paper present robust and efficient prid (reprid) model. First, present a robust learning/ranking method using k-nearest neighbor (knn) graph. Then, this work present a re-ranking method to improve accuracy of prid by using information of co-occurrence persons for matching and reorganizing given rank lists. Experiment are conducted on standard dataset shows robustness and effectiveness of proposed prid method.
A Study on Effect of Motivation on Employees Performance

Every organization wants to achieve higher position in the market and higher position is achieved by increasing revenue and gaining reputation in the market and all these are possible only with the help of employees of an organization. So to motivate employees for better work performance is the prime objective of every organization. Motivation is a force that enables an individual to act in the direction of a particular objective. Employees are motivated through various means like by increasing salary, giving bonus job security, participation in management, recognition etc. This study is self-conducted research in which researcher tries to find out how motivational tools impact the performance of the employees. A sample of 250 individuals was selected and was interviewed with a self -administrated questionnaire to obtain primary data. Data are analyzed through statistical technique. This study reveal that if proper motivation is provided to employees then it will increase employees performance and helpful in achieving organizational objectives.
Sistem Pakar Diagnosa Sikap dan Gaya Belajar untuk Menerapkan Akhlakul Karimah pada Siswa

Expert system is one of the use of technology in supporting every human activity. One of the uses of the expert system is for education. The expert system will help teachers to analyze the attitudes displayed by students. The purpose of this study is to analyze the attitudes and learning styles of students, apply good moral methods to students and determine the type of good approach to students using the Forward chaining method. The data needed for this research is student attitude data, data on learning style types, and moral data of morality and data on solutions to the application of morality and character. This research resulted in a solution in the form of the method of moral lighting according to the learning style with data accuracy of 86.2%. The conclusion of this study is that the design of an expert system for diagnosing student attitudes makes it easier for teachers to approach students.
Ausgewählte C-Header

No AccessC++ programmierenOct 2020Ausgewählte C-HeaderUlrich BreymannUlrich BreymannSearch for more papers by this authorhttps://doi.org/10.3139/9783446465510.033SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2020Pages: 943-950Print ISBN: 978-3-446-46386-8eISBN: 978-3-446-46551-0 Copyright & Permissions© 2020 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
Two Fish Cryptography for Data Security in Network Communication

The study of secure communication techniques is known as cryptography which plays important role in wireless ad hoc network. Cryptography is required to secure the data communication which enables two or more parties to communicate over insecure channel. Many cryptographic algorithms such as RSA, Bluefish, DES, etc. are implemented in many fields such as data communication, electronic commerce, chip based payment cards, digital currencies, computer passwords and military communications. This paper particularly presents the development of ADODV protocol with data security using Twofish cryptography and short overview about all block cipher methods used in network routing.
Fresnel Diffraction

Fresnel diffraction is discussed in terms of a description of waves traveling near the stationary point. That is the point that lies on a line connecting the source and the observation point. We discuss a rectangular aperture using Fresnel integrals or graphicly using the Cornu Spiral We discuss a circular aperture in terms of Fresnel zones and we develop a simple formula for the calculation of the radius of a Fresnel zone. Using the concept of Fresnel zones we develop an expalination of Fermat’s Principle and explain the origin of Poisson’t spot. The Fresnel zones generate an understanding of the operation of the pinhole camera.
User-defined B-Spline template snake

This thesis has created a new Snake model that overcomes many of the limitations of the traditional finite difference snake. This new deformable model combines a novel user initialization process with a finite element B-spline snake to create a powerful semi-automatic segmentation method. Using the simple but powerful initialization process, the user recognizes critical points and regions in a specified order, and transfers this knowledge to the model. By drawing lines across the object of interest, importatn information pertaining to the global shape of the object, such as width and symmetry, is imparted to the model. The snake is parameterized using minimum number of model degrees of freedom necessary and these degrees of freedom are placed in optimal positions around the object, based on the critical points and features recognized by the user via the input lines. Thus, the model is more like a deformable template than a local snake model - it is less sensitive to noise and more amenable to propagation to subsequent image slices in a volume image or time series. Unlike a traditional deformable template model however, it is constructed and positioned by the user rather than preconstructed and automatically initialized by the segmentation system. The template snake isinitialized very close to the object boundary and is very similar in shape. Furthermore, it is "aware" of its position with respect to the object. This thesis also describes the computation of the external image forces and how the known initial position and shape of the snake can be used to design object-specific image forces.
Review on Learning Parity with Noise based cloud computing

One of the emerging researches is cloud computing, in this area crypto-graphical scheme, generating public key, using "Learning Parity with Noise" or some advances in "LPN" schemes required.The existing systems still have problems due to decryption failures that have to be fixed.Herein we are reviewing the limitations and advantages of the various LPN Techniques.
PSYCHOLOGICAL PECULIARITIES OF THE DEVELOPMENT OF SENIOR PUPILS` PERSONALITY COMPETENCE

In the article, the concept of "personal competence" is defined as an integral personality characteristic of a person based on her awareness, her own resources, personal values and social needs. Structurally, it contains three main components: 1) motivational-value; 2) cognitive; 3) emotional-volitional, which include a number of competencies, features and conditions of development in senior pupils, have been researched by the authors.The research program provided for the use of a comparative-cutting strategy, the development of an operational model (criteria, indicators and relevant research methods), the conduct of a molding experiment. The total number of participants (students 9 - 11 classes) - 306, the molding stage -38. Most senior students have a mediocre level of personal competence development (2-nd out of 4). Low emotional stability and creative activity, lack of knowledge and skills of personal self-improvement of students need focused work on the development of personal competence in high school students in the educational process. Proven author's program of psychological and pedagogical support contributes to the development of personal competence of such leading formations of cognitive and emotional-volitional spheres of senior pupils as self-awareness, self-esteem, perseverance, autonomy and autonomy. Theoretically (comparative analysis), experimentally and statistically substantiated the idea that the formation of personal competence is a prerequisite that contributes to the formation of the personal maturity of senior pupils.