Reviewerly/exHarmony huggingface dataset:
High Capacitive Secure Image Transmission Over Wireless Channels

Expansion of internet connectivity and its usage globally has increased various demands of providing security for the data transmission. Telemedicine is a modern way of medical care that can be extended to any remote place across the globe. This medical care practice is a result of the deployment of communication systems and information technology into healthcare system. With this technology the diagnosed data can be shared with physician and take his consultation remarks and also physicians can access to diagnostic archive and share for medical practice and learning. However, this exchange of information is confined with several risks of data theft when they are shared in open networks and hence they are to be protected with high security algorithms. This paper provides a high capacitive security algorithm for protecting the images with hidden confidential information. The approach provides a two-way security by encrypting the clinical information initially and embedding it imperceptibly in the concerned image so that the user on other can obtain both the visual and text data at same instance
Confronting Domain Shift in Trained Neural Networks.

stiffness changes abruptly, and the second is a real experimental system with a frictional joint that is an open challenge for structural dynamicists to model efficiently. Our experiments will test whether 1) NN uncertainty estimates can identify when the input domain has shifted from the training domain and 2) whether the information used to calculate uncertainty estimates can be used to correct the NN’s time series predictions. While the method as proposed did not significantly improve predictions, our results did show potential for modifications that could improve models’ predictions and play a role in structural health monitoring systems that directly impact public safety.
Research on the Application of Personalized Recommendation in the Field of Digital Publishing

With the development of digital publishing industry, digital content is becoming increasingly rich. How to let readers find targeted information in complex data has become an urgent demand. Based on the research of personalized recommendation strategy, combined with the characteristics of digital publishing, this paper puts forward the infrastructure and process of personalized recommendation of publishing system, and realizes the personalized recommendation of publishing system by combining content-based recommendation algorithm and user-based collaborative filtering algorithm. The hybrid recommendation algorithm has good recommendation results in the publishing system.
Prediction of power of a photovoltaic system in height using hybrid models of Shinkrage regularization with RFE and SFS

Today is clean and renewable energy systems are attractive for the various applications that use non-renewable energy, as they provide better performance as well as a low long-term cost of electrical energy consumption. The analysis of these systems using artificial intelligence algorithms helps to improve sustainability and to produce energy efficiently. In this research, a photovoltaic system was analyzed with multiparametric regression models using step-by-step selection techniques such as RFE and SFS adding Shinkrage regularization, thus proposing a hybrid model for the analysis of the 14 independent variables used in this study. The division of the data by cross-validation was 80% for training and 20% for testing, seeds were applied in the randomization of data to obtain a better performance obtaining seed of 8849. The proposed hybrid models RFE-Ridge-Bayesian, RFE -Lasso, and RFE-Ridge discarded the variables: Total energy ',' Daily energy 'and' Irradiance ', while for the proposed hybrid models SFS-Ridge-Bayesian, SFS-Lasso, and SFS-Ridge eliminated:' Frequency ',' Energy daily 'and' Irradiance '. The optimal hyperparameters for the Ridge and Lasso models were also calculated, obtaining alpha values ​​of 1.538 and 0.01 respectively. To validate all the proposed hybrid models, the analysis of linearity, normality of the error terms, non-autocorrelation of the error terms, and homoscedasticity was performed, all models satisfying said validation. The variable to predict with an accuracy of 99.97% in all cases was the active power.
EVALUASI PENERAPAN SISTEM INFORMASI AKUNTANSI PERSEDIAAN BAHAN BAKU PADA PT. CIOMAS ADISATWA MEDAN

This study aims to determine the application of accounting information system for raw material inventories at PT. Ciomas Adisatwa Medan. To find out the application of the accounting system for raw material inventory at PT. Ciomas Adisatwa Medan, data collection techniques were used, namely literature study and field research techniques. While the analysis technique used is a descriptive method. From the results of the study, it can be concluded that application of the accounting information system for raw material inventory at PT. Ciomas Adisatwa Medan has been implemented not good, because there is still inaccurate information that is the demand for raw materials is not in accordance with what is received by the production. Weaknesses Oversight of raw material inventory in warehouses is piling up and is not suitable for processing. The delay in the schedule of order for supporting raw materials to be processed, so the production process does not run properly. The procedures used in the accounting information system for raw material inventory at PT. Ciomas Adisatwa Medan, among others, procedures for requesting raw materials, procedures for receiving raw materials and procedures for issuing raw materials.
Social Transformations and Prospects for the Development of the Education System

The achieving of the purpose of social development of education and upbringing, which are often reduced by neobehaviorism in fact to the manipulation of people, requires somewhat different and more appropriate methods.Such methods should include various forms of training, behavior modification based on the factors of reinforcement techniques (variety of motivation, encouragement, rewards, etc.).Individuals must be clearly aware of the purpose of their activity, and at the same time, the effectiveness of social reinforcement depends on the degree of trust and respect of the individual to the institutions of society and the specific people to whom society and the state are entrusted to carry out the administrative-managerial process.
A Study for Activation of Non-Face-to-Face Education based on CONCOR Big Data Analytics: Data Literacy Perspectives

Recently, ‘ontact’ has newly emerged as the hottest keyword in the non-face-to-face era. In this study, the author aims to analyze the CONCOR big data in an attempt to investigate possible ways to promote non-face-to-face education from the data literacy perspectives. In this study, data crawling involves use of Textom to collect and analyze data during the last year, 2020 from Naver (blog, café, news, web doc, knowledge-in, academic information), Google and Youtube. Regarding non-face-to-face and face-to-face issues, the collected big data is analyzed by the UCINET solution analysis method, thus yielding a matrix of keywords and the resulting 50 keywords most frequently used are suggested depending on the node size by using the visualization method. Finally, those areas applicable to various fields are suggested as a result.<BR> According to the CONCOR analysis results, five big groups are suggested. First, keywords including task, platform, implementation, quality, satisfaction, data and so on form a group that is named as ‘platform implementation’. Second, keywords including untact, video, new deal, free, subscription and so on form a group that is named as ‘ontact market’. Third, keywords including real time, online, face-to-face, contents, problems and so on form a group that is named as ‘online contents’. Fourth, keywords including Youtube, program, education, experts, education center and so on form a group named as ‘channel diversity’. Fifth, keywords including internet, digital, knowledge, smart, development and so on form a group that is named as ‘digitalization’.
Making Fractional Distances work in the presence of White Noise - Motivation and Challenges

In Similarity Search (SS), given a new piece of data (or a query), often a close enough match to it from a given set of data points is sought. One view of SS is that the query is assumed to be a noise corrupted data point. In line with this view, François et. al. [1] argue that the Euclidean norm and fractional distances give better search results in the case of white noise and highly coloured noise, respectively. Further, Singh and Jayaram [2] showed that the fractional distances work well even when the noise is not-so-highly coloured. In this work, we attempt to determine if fractional distances could be made to work in the setting of SS even when the noise is white. The real challenges lie in the many counter-intuitive phenomena in high dimensional spaces which will be discussed briefly and our approach in tackling them will also be discussed in this work.
Pengukuran Sentimen Sosial Terhadap Teknologi Kendaraan Listrik: Bukti Empiris di Indonesia

Currently, climate change due to global warming is a concern for many parties. The greenhouse gas emissions level is increasing day by day. The major contributors to Air pollution are the greenhouse effect. Transportation accounts for about 27% of air pollution, and governments in various countries use electric vehicles to reduce air pollution. However, the success of using electric vehicles is depending on perception, people’s sentiment, and understanding. The main purpose of this research is to find out how public sentiment towards electric vehicles is through tweets and comments on the Twitter social media platform using sentiment analysis. The data obtained are 1084 tweets and comments. The data were classified using the Naïve Bayes method, K-Nearest Neighbor, and Decision Tree. The results showed that the Naïve Bayes Classification Method gave better results than K-Nearest Neighbor, and Decision Tree with an accuracy rate of 94% positive sentiment by 53%, negative sentiment by 38%, and neutral sentiment by 9%. So, it can be concluded that public sentiment towards electric vehicles is quite good based on conversations on the Twitter social media platform. In addition, the author also visualizes the results of the analysis in the form of graphs and word clouds so that they can help the electric vehicle industry players to understand public sentiment better and more accurately.
Blockchain Technology: A Top-Up ERP

This article highlights certain areas where the blockchain technology can be applied to make the existing ERP more robust. Blockchain brings the parties to a reasonable consensus in a business process who would not otherwise trust each other by means of decentralised ledger provided to each party with a single shared source of truth. A blockchain and ERP combination seek to eliminate the trust gap between the parties.
Model Compression for a Plasticity Neural Network in a Maze Exploration Scenario

Plastic neural networks provide a new type of biological heuristic method for “meta-learning” or “learning to learn”, opening a new door for research on lifelong learning and fast memory of artificial intelligence. They can combine typical neural networks with the famous Hebb’s rule in biological neurology, and uses Hebbian trace to express the connection strength between neurons. However, redundancy exists in previously designed plastic neural networks since not all neurons have strong connections. In this paper, we first time propose a model compression strategy for an RNN-based plastic neural network in a maze exploration scenario. With a reinforcement learning process, the network is trained and the hidden neurons have different variation trends. As convergent hidden neurons are conceptually able to memory some invariant feature of the maze, connections of nonconvergent hidden neurons are skillfully pruned. We successfully realize our approach and achieve plastic neural network compression in experiments. While ensuring the performance of the algorithm, the compression rate reaches 3.8 and the speedup rate is about 4.1 in theory and up to 16.
FEATURES OF THE DEVELOPMENT OF CONCERTMASTER SKILLS OF AN ACCORDION STUDENT IN EDUCATIONAL INSTITUTIONS OF SECONDARY VOCATIONAL EDUCATION

The article is devoted to determining, based on the existing specifics of teaching accordion students in the system of secondary vocational education, effective ways to develop their concertmaster skills. The developed methodological recommendations identify the components of an integrated approach to the development of concertmaster skills based on the definition of this concept, taking into account the technical level of students, the design features of the instrument and the specifics of the soloists' performing activities.
Building a Pen Portrait

Many years of partnering experience have shown us that creating significant output from university research requires explicit attention to the creation of alignment with the people, resources, and capabilities that lie below the surface and beyond the corporate legal agreements. We have found a number of key prompts can develop a pen portrait to help with this, which is useful to take into conversations with different stakeholders, some of whom will have little interest in the technical content of your partnership.
Post-quantum blockchain for secure communication in IoT-based smart home services

Internet of things (IoT) technology is progressing by leaps and bounds in the past decade, which opens up many innovative applications that enhance our daily life. One of the notable examples is the introduction of IoT-based smart home services (SHS), which aims to provide ubiquitous sensing and intelligent control at home. Security is an important issue in SHS that needs to be resolved before it can receive wide adoption. In this paper, we propose BC-SHS, a consortium blockchain to protect the IoT-based SHS. The SHS within a community forms a consortium blockchain, while the cloud service provider (CSP) joins the consortium blockchain to provide services through smart contracts. External communication (between smart homes and cloud servers) goes through this consortium blockchain, which ensures integrity, authenticity, auditability and privacy preservation of SHSs. In addition to this, we analyse state of the art post-quantum signature schemes and propose to adopt pqNTRUsign as a replacement to the existing ECDSA signature scheme. This can help to protect the proposed BC-SHS from potential quantum computer attack in future. We provide analysis on the proposed BC-SHS in terms of security, deployment cost and communication overhead.
The Wicked Nature of Information Security

This chapter studies the wicked nature of information security. It has always been unlikely that there will be a breakthrough in any one specific area of information security that will solve the problems that exist across the entirety of the field. An alternative approach has been to step outside the field of information security and examine information security problems from the perspective of other fields. The security of every computer system depends on a myriad of factors, including the technologies that are employed, the incentives of the users, and the environment in which those technologies and users reside. This means that there is a limit to how much each discipline within the field of information security can contribute to improving the security of any system, whether it be software security, network security, user education, passwords, or cryptography.
Privacy Preserving Data Access To Cloud

The current systems stress on protection of data stored in the cloud servers without giving much thought and consideration to the protection of data during user access. Encryption of data is a technique that is popularly used to protect stored data. Encryption essentially scrambles the data and stores it in a form which makes no sense unless decrypted with the suitable key. Every cloud service provider ensures data is stored in an encrypted form in its servers. Encryption of data is not sufficient to protect user data as acquiring the appropriate key can result in decrypting of the data. Encrypting the data before uploading the data to the cloud can help to an extent to preserve data. To access the data it would need to be encrypted twice- once by the cloud service provider and then by the user. Cloud service provider is prevented from accessing user data and also other third-party individuals. However, this approach too is not efficient and sufficient to protect user data. ORAM algorithm is used to enable access to user data stored on distributed file systems that comprises of multiple servers stored either at a single location or multiple locations across the globe in a manner which ensures the user privacy is protected when accessing the data. Reshuffle of data blocks stored in third party servers ensures the access pattern of the user remains hidden. ORAM algorithm does not cause any hindrance to the data access and does not lead to any major drop in data access rate. To ensure security, we propose a load balancing technique to guarantee smooth and safe approach for data access.
Experimental repeater-like quantum communications over 600 km of optical fibre with wavelength-multiplexed phase stabilisation

We introduce a novel phase stabilisation scheme for phase-sensitive single-photon applications. By applying it to the Twin-Field Quantum Key Distribution protocol, we establish a repeater-like quantum communication over 600 km of optical fibre.
Development and Implementation of Electronic Library for Protection of Copyrights

Today, many different publications such as journals and books are presented in electronic environment. Copyright concept is still discussed about the distribution of the books and paid publications digitally. The main objective of electronic library application to be developed is to display a certain part of the books and publications including the information that the users intend to reach. In this study, such operations as the search of phrases within various portable document format (PDF) documents like e-books, theses and technical reports or on the bookmarks of the documents, and the generation of its results as a PDF document have been showed. It has been viewed that the phrase search process gives more accurate results than the search on bookmarks, but is slower. As a result of the studies conducted on PDF documents specially created according to parameters such as file size, number of pages, content type and number of bookmarks, it has been observed that these parameters affect search performance at different degrees. In addition, an open source plug-in that can perform these operations has been also developed for the electronic library application. The plug-in developed independently of electronic library application in Java programming language can easily be added to the web applications. Apart from the plug-in, there is also a lot of information required for users to create and manage their own PDF documents.
Development and verification of filter cloth cleaning robot for incinerator

In recent years, filter cloths and bag filters have been installed in the exhaust channels of waste incineration facilities (hereinafter referred to as incinerators) to be constructed. This is because incineration of municipal waste and industrial waste does not release dioxins and heavy metals into the atmosphere. If the incinerator is operated for a long time, the filter cloth and bag filter will be clogged. Filter cloths and bag filters should be cleaned regularly. As for the cleaning method, workers take dustproof measures when the incinerator is stopped, and the incinerator is dropped to the incinerator side using the air from the air hose. Workers have a poor foothold and are not hygienic, so there is an urgent need to improve their safety and hygiene. This time, we have developed a robot that can fully automatically clean filter cloths and bag filters.
Five Ways To Identify Story Ideas

Nonprofit Communications ReportVolume 18, Issue 8 p. 3-3 Articles Five Ways To Identify Story Ideas First published: 09 July 2020 https://doi.org/10.1002/npcr.31529Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume18, Issue8August 2020Pages 3-3 RelatedInformation
Nonclassical Phase-Space Correlations in Theory and Experiment

We derive phase-space-inequality conditions for the verification of nonclassicality and implement them experimentally. We certify quantum correlations even if the phase-space distributions are nonnegative and demonstrate noise and loss robustness.
Hatenography: An Analysis of Hate Speech on Facebook in 2019 Indonesian Presidential Campaign

This article discusses hate speech on Facebook from two groups of supporters for the presidential candidates in the 2019 Presidential Election in Indonesia. The study used a virtual ethnography approach to analyze cultural groups or communities through their conversations on the Facebook platform. Data collection was conducted by observing and collecting words, phrases, and sentences in the Official Facebook account of two presidential candidates in the 2019 Presidential Election and statements of both presidential and vice-presidential candidates in 2019. In addition, researchers also observed three voluntary group accounts for each candidate. Therefore, the total number of accounts observed was eight. Data was analysed with Nvivo 12+ to obtain statistics on the strength of the chosen speech word and the dominant phrase or word that appears. The result shows that specific phrases or terms to intimidate each supporter of both parties in massive numbers appeared in the form of hate speech during the campaign. The purpose of the hate speech is to insult/humiliate, intimidate or accuse others of doing something inappropriate or evil (accusation which involves sarcasm and foul language directed to the opponent. Candidates also provoked each other by accusing the other party of being stupid, disgusting, pathetic, ugly, and retarded. The implication was that hate speech has disunited the public on the social media space. Accusing and attaching bad characters to other groups through hate speech has strengthened inter-group stereotypes and formed an unhealthy democratic climate. Keywords: Provocation, hate speech, verbal message, virtual ethnography, communication.