Reviewerly/exHarmony huggingface dataset:
Detecting Denial of Service Attack in Wireless Sensor Network using Energy Efficient Extreme Learning Neural Network (EEELNN)

One of the effective communication technology is wireless sensor network technology which helps to monitor the surrounding information by sensed nodes. The effective utilization of sensed nodes is utilized in different applications such as military, health information, environmental monitoring, disaster relief and target analyze. The application requires the collection of information which may be collected from one location and transferred to the other location for making their process so easier. During the information transformation process, the network may affect by several intermediate attack, in which denial of service is one of the serious attack because it affects the entire network resources such as network energy, power, bandwidth. The unavailability of the resources reduces the entire sensor network performance. For managing the attack related issues, in this paper introduces the Energy Efficient Extreme Learning Neural Network (EEELNN) approach for overcoming the attack related issues. Initially the network transmitted zone is computed along with energy, power, bandwidth, neighboring node information and lifetime for eliminating the attack in sensor network. The computed information is processed and trained by extreme learning neural network that successfully predict the attack related data, node and network zone with effective manner that leads to improve the overall network performance. At last system efficiency is evaluated using simulation results such as detection rate, classification accuracy, false alarm rate and detection time.
Reading Readiness Skills in Preschool Children

This research aims to identify the following : • The reading willingness skill to kindergarten children. • There is no statistical significance difference between average scores of reading willingness skill of the sample individuals as a whole, and the hypothetical average of the scale. • The difference in reading willingness skill to kindergarten children according to gender variable (male &amp; female). • There is no statistical significance difference between average scores of reading willingness skill for kindergarten children according to gender variable (male &amp; female). To achieve the research goals, the researcher adopted the test of (Alkhafa-2014) for reading willingness skill, as it's consisted of seven skills: Visual recognition, Audio recognition, Audiovisual recognition, Optical recognition, Audio memory, Visual tracking, pronunciation and speaking skill.
Perancangan Aplikasi Penyisipan Pesan Teks dalam Audio dengan Menggunakan Metode Low Bit Coding

The development of steganography began to penetrate into the digital world which in this study was devoted to mp3 audio files. The techniques for developing a steganography process are briefly discussed. This study also tried to present the steganography process in audio file comparisons based on the formulas in the existing literature. A software called MP3 Stego is used to assist in the process of observing problems and completing the steganography process. MP3 Stego is tried, observed, and hypothesized for future development suggestions. After looking more deeply at audio steganography, especially in MP3 audio files, it is quite prospective in the next development. Well studied from psychological and technical factors, it turns out that MP3 media is a very appropriate media to become a message hiding media. In addition, it turns out that steganography can also be used in more in-depth and broader targets such as campaign suggestions, notifications, organizational communication, and so on.
SDPBDVC: secure data processing on big data using visual cryptography

The rapid deployment of modern technologies such as iPhone, laptops, digital watch, social network, internet are resulted in handling of enormous amount of data in our day-to-day life. Since the data storage is increased abundantly and techniques to retrieve the relevant information and protection of data related issues to be focused efficiently to protect this big data. However various organisations and IT industries dealing with big data are faced with many security risks in storage and processing of data. Hence the protecting the big data is challenging task for the researchers. MapReduce is an efficient tool for processing large volume of data in a distributed environment. Security and secrecy of data are vital concerns while processing data carried out in MapReduce. In this article, the proposed secure data processing on big data using visual cryptography (SDPBDVC) technique ensures the protection of sensitive information by applying the visual cryptography technique and the processing done only by authorised entities.
Management of Electronic Serials, Outsourcing, and Bringing New Products to the Marketplace

The NASIG conference this year has been filled with a lot of good conversation on issues specifically related to e-journal management. The purpose of this concurrent session is to share and address the issues about choosing an e-journal management system. The second and third questions follow the first with discussion about librarians' perspectives on outsourcing and the vendor's response. In e-journal management this means tracking links, resolving links, and providing statistical information necessary for justifying the money spent on e-journals, all in a customized environment. The conclusions of conversations between vendor and librarian are what develop products. The NASIG conference this year has been filled with a lot of good conversation on issues specifically related to e-journal management. The world has changed dramatically in terms of scholarly communication and it’s going a lot faster than many of us in this room.
Shining a light on the cloud

The Social Sciences &amp; Humanities Open Cloud (SSHOC) is a 40-month-long project under the umbrella of the European Open Science Cloud (EOSC) and funded by Horizon 2020. This project unites 20 partner organisations as well as their 27 associates. SSHOC seeks to create interconnected data infrastructures focused on an integrated, cloud-based network structure.
A study of design-oriented Mechanical Engineering and education for sustainable development of regional industries

Advanced educations of design-oriented Mechanical Engineering for design engineers are critical for enhancing regional industries. A study of design-oriented Mechanical Engineering and education for sustainable development of regional industries is reported here. Since designs that provide values for the society and create profits for companies are much-expected, education programs for design engineers who take on this role are required. To accomplish this goal, design education programs should be arranged considering issues and lessons learned at design job sites of factories and should be provided for students and young engineers. Subsequently, the results of the educations should be evaluated and fed back to educators for improving the methodologies and materials for the design education. If industry and academia would collaborate for these improvement processes, the education for designs should be of assistance for enhancing regional industries.
Chapter 1. Graphematical analysis

Graphematical analysis marks the first stage of text processing. However, prior to it, basic text structuring takes place, resulting in the identification of paragraphs and their types, e.g. title, subtitle, author name(s), chapter and section titles, footnotes, endnotes, figures, appendices, epigraphs, etc. After that, graphematical analysis proper begins. Its aim is to decompose the flow of letter and non-letter graphemes into character strings such as individual words, abbreviations, numbers, and hybrid strings (e.g. mathematical formulae). The procedure implies an iterative process of unit assembling, from individual characters to what is called atoms, next to tokens (roughly equivalent to word occurrences), sentence parts and finally, a whole sentence. At every stage, each unit is assigned its type. Assembling relies on the rules based solely on a thorough structural analysis of context. No formal models or statistical methods are applied, this being a central principle of the linguistic analyzer, inherent in all its algorithms. At this stage, complications arise primarily through the ambiguity of punctuation marks. They are discussed at length throughout the chapter.
Research, development and commerce triple interaction in fuzzy combination

The initial pioneering procedures in any research involve rational, logical, approximate reasoning and systematic treatment of available verbal and numerical data. In the meantime, the data uncertainties, vagueness, imprecision and missing data must be treated in an objective way to make initial decisions, which are bound to improvement with new data inputs. Today, as a result of globalisation and communication internet, the world is reduced into a scale to a village, where accessibility facilities are various. In this paper, two driving factors, namely, research and development are considered as simply effective on the commercialisation. For this purpose, after the explanation of uncertainty and each factor, a fuzzy logic model and inference system is proposed in detail. The main conclusion is that all the variables and variables in socio-economic domain have uncertainty ingredients, and therefore, there is room for further research and development leading to better commercial products.
Market Basket Analysis with Enhanced Support Vector Machine (ESVM) Classifier for Key Security in Organization

Market Basket Analysis is considered to be one among the highly popular and efficient sort of data analysis exploited in the marketing and retailing field. The objective of market basket analysis lies in deciding the products purchased together by the customers. Its name has originated from the concept of customers filling into a shopping cart everything of all they had purchased (a "market basket") while doing shopping in the grocery. Having a knowledge of the products that customers buy in group can be quiteusefulfor a retailer or to any other organization. A store could make the best use of this information to keep the products that are often sold together in the same place, whereas a catalog or World Wide Web (WWW) merchant could utilize it for deciding the structure of their catalog and order form. Since several applications such as market basket analysis, fraud detection in web, medical diagnosis, census data, Customer Relationship Management of business that makes use of association rules exists, the process involving Decision making can be improved. Security is also regarded to bean important facet for transactions done individually and frequent itemsets for database that are horizontally partitioned. In order to render security for lastly bough often used itemsets for transaction purposes, this research work introduces a novel key security algorithm that uses RSA cryptographic technique which is classifier based. The classifier makes use of information about several often utilized itemsets and it provides a key value to the actual company. For instance, in case if there are any reliance users, only the valid users can obtain that market info. The rest of the users belonging to the reliance organization are not allowed to select the data’s key value. First, the frequent itemsets are mined with the help of association rule mining employing Probabilistic Graphical Model techniques. Then the Enhanced Support Vector Machine (ESVM) classifier checks the key values of the mined frequent itemsets.
Tenable: How lucrative are vulnerabilities?

One of the take-away messages from this report, sub-titled ‘A closer look at the economics of the exploit supply chain’ is that cyber criminals are earning around 12 times as much as organisations are spending on cyber security. Gartner estimates that the cyber security spend worldwide will amount to around $136bn in 2019. But the bad guys are pumping $200bn just through money laundering operations alone.
Energy-Efficient Consolidation of Virtual Machines in Cloud Data Centers

The lightning increase in demand of computational power consumed by modern applications has made us to shift for Cloud Computing Model which has led to establish very large-scaled virtualized Data Centers. Such Data Centers consumes huge amount of electrical power which results to high Operating cost and Carbon-di-oxide emission. The servers in Data Centers consume/waste a substantial amount of energy/power. Since servers are deployed and configured for peak capacity, performance, usually at the expense of efficiency. Such waste increases the capital and operational expenditure which can result in power and space being exhausted, which creates a situation where the organization may grow in data centers. Consolidating and Virtualizing servers can increase overall utilization of resources from 10% to 30%. The rapid reduction in capital and expenditure can motivate many organizations to virtualize the servers.
CONTENT BASED IMAGE RETRIEVAL USING MULTI-SVM TECHNIQUE FROM NOISY AND NON NOISY IMAGES

Image mining is a technique which handles the mining of information, image data association, or additional patterns not unambiguously stored in the images. It exploits methods from computer vision, image retrieval, image processing, data mining, machine learning, database, and artificial intelligence. In the proposed work, we have developed a new system that can retrieve the images from a dataset on the basis of contents of the query image. Here, ‘Content-Based’ means that the search will analyze the actual contents of the image. The existing system does not evaluate the results upon attacks but in proposed system the results are also being evaluated on adding noise to the images and blurring the images. The overall average accuracy of the proposed system is 96% whereas that of existing system is 85%. Performance of the existing systems is checked on the maximum of 1000 images whereas the performance of the proposed system is checked on more than 5000 images.
Characterizing Your Data

Environmental data is more than a bunch of numbers. Meaningful information about the natural world is embedded in those numbers as patterns, cycles, trends, changes, and events. Arranging your data in different ways can highlight different features of the phenomena captured by your data set. This dual aspect of a data set is its power: data is quantifiable information. You can describe the key features of your data set using words, but you can also quantify, or characterize, critical information using numbers, mathematical equations, or statistical concepts.
FEASIBILITY OF THE POCKET BOOK OF ADDITIVE SUBSTANCE SUBMATERIALS FOR JUNIOR HIGH SCHOOL AS A RESULT OF TESTING CARROT JUICE (Daucus carota L.) TO CHICKEN MEATBALLS’ SHELF LIFE AND ITS ORGANOLEPTIC

This study aims to determine the feasibility of a pocket book as a learning medium for class VIII additives teaching materials based on the test results of the effect of carrot juice on shelf life and organoleptics of chicken meatballs. The background of making pocket book media is based on the results of interviews at SMP Negeri 10 Pontianak which said that the teaching and learning process was ineffective due to the lack of learning media. Therefore, the pocket book media is used as a learning medium. This study uses the Research and Development (R&amp;D) method which consists of potentials and problems, data collection, product design, design validation, and design revision. The product design in this study is to make a pocket book by adding food additives and the results of the author's research. The pocket book media was validated by 5 validators, namely 3 teachers of SMP Negeri Pontianak and 2 Lecturers of Biology Education at the University of Tanjungpura. This pocket book media is measured from the aspects of the feasibility of format, content, and language which consists of 11 criteria. Based on the results of the pocket book validation, it was obtained CVI value of 1 for all criteria with an average validity value of 4 so that the pocket book media was declared valid and could be used as a learning media for additive sub material.
AN EMPIRICAL ASSESSMENT OF ADOPTION AND INNOVATION OF THE PORTABLE BANKING TECHNOLOGY IN KENYA

The study investigated the appropriateness of innovation diffusion in understanding and explaining the adoption rate and acceptability of portable bank technology in Kenya through the assessment of the factors that influence the adoption of portable banking technology. The study employed a sample of 115 portable bank technology adopters based on a purposive sampling technique and tested the five attributes of innovations, namely relative advantage, compatibility, complexity, trialability, and observability. The study found that relative advantage, compatibility, Trialability, and observability positively impact adoption. Trialability and complexity were found to have a lesser significant effect on adoption. Complexity hurts adoption. More specifically, the regression model revealed that compatibility is the most significant determinant of adopting portable bank technology with t=4.21 and p ≤ 0.001. Trialability has a significant positive impact on adoption with t= 4.27 and p ≤ 0.001. Observability has a high explanatory value with t = 4.45 and p ≤ 0.001. Relative advantage has returned a positive explanatory coefficient at t=4.50 and p ≤ 0.001. Finally, Complexity had no significant impact on the adoption of portable banking technology. The study has uncovered useful trends in portable bank technology adoption in Kenya. The study recommended that future research should focus on broader variables and carry out comparative studies on both homogeneous and heterogeneous settings to gauge the net effect of technical attributes on technology adoption.
Seize the E! The Eclectic Journal and Its Ramifications

In recent years, an increasing number of electronic journals have embedded audio, video, and other multimedia within their publication to augment their usefulness. In addition, some have further enhanced access and use with a variety of “eclectic” features, functionalities, and content, such as advanced navigation; font, format, and display control; modeling; personalization and customization options; and reader participation. In general, most cataloging records, however, do not reflect such components, depriving users of the necessary information and instruction that could facilitate use. A variety of recommendations and options are reviewed as possible solutions. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;http://www.HaworthPress.com&gt;]
DATA MINING PEMBENTUKAN POLA PENGGUNAAN ALAT KONTRASEPSI DENGAN METODE ASSOCIATION RULE

Continuous use of contraceptives is a factor influencing the success of the family planning program. As is well known, contraceptives are not necessarily suitable for everyone's condition, therefore women must be able to determine what contraception is suitable for themselves. The problem is that many women find it difficult to decide what contraceptive method to use, apart from a lack of knowledge and information, there is no concept / pattern for choosing a contraceptive device. The purpose of this study is to find patterns of contraceptive use using the Data Mining Association Rule method. The results of the performance of the Apriori Algorithm produce a combination pattern that describes the set of frequent item sets with the highest confidence value, namely 90% In the Rule, if the injectable contraceptive device is 3 months, then the mother's age is 17-35 years. The pattern that is formed is the result of concept formulation, so that this pattern can be used as a reference for prospective acceptors in determining the choice of contraceptives suitable for use.
Full Reference-Image Quality Assessment with Global and Local Image Regions for Visual Quality Perception and Optimization

Quality Assessment (IQA) by using mathematical methods is offering favorable results in calculating visual quality of distorted images. These methods are developed by examining effective features that are compatible with characteristics of Human Visual System (HVS). But many of those methods are difficult to apply for optimization problems. This paper presents DCT based metric with easy implementation and having mathematical properties like differentiability, convexity and valid distance metricability to overcome the optimization problems. By using this method we are able to calculate the quality of image as a whole as well as the quality of local image regions.
Steganography Technique with Huffman Code

The growth of modern communication technologies imposes a particular means of security mechanisms in particular in case of data networks. In order to protect sensitive data while these are en route, applications call up different methods. Here we are trying to code the message by Huffman coding technique and applying the Steganography using differencing and substitution mechanisms with encryption to the original message which can give multi label security. Here we are trying to communicate in two phases such as (1) Encrypt the message by Huffman code and (2) applying the In Steganography. We divide the image into multiple blocks which are non-overlapped in nature and the block size is 3×3 pixel that will consider as matrix. For every value from the matrix can be represented in eight bit where two bit will use as least significant bit (LSB) substitution and quotient value differencing (QVD) is applied for other bits. We are trying to process in three levels: (i) Huffman tree through message is encrypted which is secret (ii) LSB substitution at lower bit planes and (iii) QVD at higher bit planes.
Human and society. Didactic materials for independent work of 10th grade students of educational institutions

The series of publications was prepared on the basis of a teaching manual addressed to 10th grade schoolchildren of schools studying the integrative course “Social Studies” (section “Man and Society”), and is a set of materials for independent work. The content of the manual fully meets the requirements of the Federal State Educational Standards of Basic General Education and work programs for secondary (complete) education in social studies. The presented theoretical and practical material reveals the main aspects of social life: the essence and functional characteristics of consciousness and activity, ideas about society and social institutions as a system, types of societies, views on culture as a cumulative spiritual experience and “collective memory”, its main institutions — science, religion, morality, education, art. Particular attention is paid to the definition of social progress and global problems of mankind.