Reviewerly/exHarmony huggingface dataset:
Design and implementation of a cloud encryption transmission scheme supporting integrity verification

In the cloud storage environment, the integrity of private data is one of the most concerned issues for users, which has become the focus of cloud storage research.For this kind of problem, the existing schemes usually sacrifice the communication efficiency of users for higher security, which often causes a lot of computing overhead.Therefore, the purpose of this paper is to achieve the coexistence of safety and efficiency, and adopts the ideas of Chinese commercial encryption algorithms SM2 and SM3, proposes a cloud encryption transmission scheme that supports integrity verification, and gives a security analysis under the assumption of discrete logarithm problem on elliptic curve and Diffie-Hellman problem.Finally, the actual test and comparative experiment results show that our scheme can realise the cloud data transmission encryption and cloud storage integrity verification functions at the same time without affecting the performance of the cloud server.Moreover, it can effectively resist all kinds of common attacks, reduce the storage and computing burden of cloud users, and has certain guiding significance for the research of user privacy protection in the cloud environment.
Design and Construction of an Aesthetically Pleasing Vertical Axis Wind Turbine (APVAWT) – A Case Study of Art and Engineering Collaboration in Engineering Capstone Course

He obtained a B.Sc. in Engineering from the Colorado School of Mines, and both an M.Sc
Shadow Removal without Reference

This paper proposes an innovative algorithm to compose shadow images with only shadow-free images and shadow masks, allowing us to avoid cumbersome annotations and to get more kinds of samples. Based on this algorithm, we create a shadow dataset called No Reference Shadow Removal Dataset (NRSR), which fits both paired and unpaired shadow removal tasks. We also propose an improved CycleGAN based shadow removal network by tailoring the generator network with Atrous Spatial Pyramid Pooling (ASPP). Our deep framework ASPP- CycleGAN learns multi-scale feature information and maximizes the overall performance. Experiments validate that our shadow composing algorithm is effective and our shadow removal method outperforms state-of-the-art shadow removal methods.
Anatomical Sciences Education Vol. 13, Issue 3, 2020 Cover Image

Anatomical Sciences EducationVolume 13, Issue 3 p. C1-C1 Cover ImageFree Access Anatomical Sciences Education Vol. 13, Issue 3, 2020 Cover Image First published: 30 May 2020 https://doi.org/10.1002/ase.1986AboutPDF 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume13, Issue3Special Issue: Covid-19 and Anatomy EducationMay/June 2020Pages C1-C1 RelatedInformation
P.729 Overuse of central nervous system depressants in geriatric patients–characteristics of at-risk patients and disparities in health-related quality of life

Model discrimination identifies a mathematical model that usefully explains and predicts a given system’s behaviour. Researchers will often have several models, i.e. hypotheses, about an underlying system mechanism, but insufficient experimental data to discriminate between the models, i.e. discard inaccurate models. Given rival mathematical models and an initial experimental data set, optimal design of experiments suggests maximally informative experimental observations that maximise a design criterion weighted by prediction uncertainty. The model uncertainty requires gradients, which may not be readily available for black-box models. This paper (i) proposes a new design criterion using the Jensen-Rényi divergence, and (ii) develops a novel method replacing black-box models with Gaussian process surrogates. Using the surrogates, we marginalise out the model parameters with approximate inference. Results show these contributions working well for both classical and new test instances. We also (iii) introduce and discuss GPdoemd, the open-source implementation of the Gaussian process surrogate method.
Produkte: Vakuum in Forschung und Praxis 2/2019

Vakuum in Forschung und PraxisVolume 31, Issue 2 p. 10-10 Magazin Produkte: Vakuum in Forschung und Praxis 2/2019 First published: 18 March 2019 https://doi.org/10.1002/vipr.201970203AboutPDF 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume31, Issue2Special Issue: ComVacMarch/April 2019Pages 10-10 RelatedInformation
Knowledge Discovery from Web Data for Web Personalization

Because of the large and rapid increase in web data size and number of users, web users now face the problems of overloading and drowning information. As a result, Recovery of internet-based data and web applications, providing web users with more accurate information becomes a critical issue. In this study, by analyzing web data features, we aim to improve the performance of web information retrieval and web presentation through web data mining processes that discover the knowledge (intrinsic relationships) between web data expressed as textual, linkage or usability information. We concentrate on discovering web usage patterns through web usage mining, and then using the discovered usage knowledge along with profile information to provide web users with more personalized web content. Personalization is an engaging service for website visitors, based on their characteristics and deliberate behaviors to facilitate conversion and long-term commitment expectations. The purpose of this work is to extract the knowledge from web data and use this knowledge to create a web personalization system that allows users to access the content of their need from the website without specifically specifying it. The knowledge could be the navigational actions of the user as exposed by web access log analysis, as well as the characteristics and preferences of the user reflected by user profiles. Such knowledge is further analyzed to improve system performance, retention of users and/or modification of the site. This paper provides a comprehensive survey of the different approaches suggested by Web Personalization researchers and list out some of the issues that need to be tackled soon
Chaos-Based Cryptography

In chaos-based cryptography, the chaos theory is applied and its mathematical background for creating novel and unique cryptographic algorithms. The first attempt of using the chaos theory in cryptography was initiated by Robert Matthews in 1989 through the work [1], which attracted much interest.
Web development

Many of the software applications used in hospitals now use web technology to enable the sharing of data and resources. The technology is described in this Chapter, dealing first with hosting strategies and then with web programming.
Hand Gesture Recognition for Emoji and Text Prediction

Emoticons' are ideograms and smileys utilized in electronic messages and website pages. Emoticons exist in different classifications, including outward appearances, regular items, places and kinds of climate, and creatures. They are much similar to emojis, however emoticons are real pictures rather than typo graphics. This undertaking perceives the emoticons utilizing hand motions. We are detecting hand gestures and preparing a Convolutional Neural Network (CNN) model on a training dataset. We will make a database of hand gestures and train them. The system utilized here is a CNN. We are utilizing the SIFT filter to identify the hand and CNN for preparing the model. SIFT filter give a lot of highlights of an image that are not influenced by numerous factors, for example, object scaling and rotation. The SIFT filtering procedure comprises of two areas. The first is a procedure to identify intrigue focuses in the hand. Intrigue focuses are the points in the image in a 2D space that surpasses some limit measure and is better than straight forward edge recognition. The second segment is a procedure to make a vector like descriptor and this is the most special and prevalent part of the SIFT filter.
Methodology to Enhance the Functionality of Principal in Government School Based On the Academic and Non-Academic Role

Education is a powerful instrument of social change, and often initiates upwards movement in the social structure. The fundamental aim of the education is to bring about change in the person as well as in the society. His excellency, the former president of India late Shri A.P.J Abdul Kalam has rightly said that “Education is the most important element in the growth and prosperity of the nation”. It is the passport to accelerate economic growth. It is the key in building human resource capital and human resource capital is a vital ingredient in building a nation. Universalization of elementary education has been a cherished national goal since 1950. There were various education commission and policies giving direction and guide lines as to how this national goal could be achieved. Many programmes have been taken up by the government to achieve UEE goal, to accomplish this goal article 21A of Indian constitution (eighty-sixth amendment) act, 2002 (w.e.f. 01 -04-2010) directs the state to provide free and compulsory education to all children till they complete the 14 years of age. In order to fulfil this constitutional obligation, the access to educational facilities has been improved to a large extent by establishing a number of schools and the required facilities and the enrolments there in have been increased tremendously. Development in education is an important indicator of overall development of a society. Lacks of proper educational facilities have been one of the major causes of backwardness of Indian masses. In the process of educational development, the basic foundation is to enhance the existing programmes. With a good elementary education, there will be smooth passage to secondary education. Hence, the most urgent need of the hour is to realize the importance of elementary education to accomplish the objective of developing country and enabling them to compete successfully in the race of civilization. We have to accede fully that elementary education is our weakest link. All the efforts to improve secondary and higher education will end fiasco without effective improvement in elementary education. In a sense, we can hold that without its improvement, the progress of the nation as a whole is quite unthinkable. Elementary education holds the key in the educational system of any country. In fact, it forms the linkage to secondary and higher education.
Design of trust identification system for cloud services

Cloud computing is merging into every aspect of our information exchange including our personal information, business environment and other environments along with numerous security and trust challenges. With rapidly developing cloud utilisation, the range of security issues and trust challenges also increases exponentially. Hence an efficient trust identification system (TIS) is needed to identify the region of trusted cloud service providers (CSPs) for a particular service. In this paper, a novel trust identification technique is proposed based on linear programming using objective functions which can smartly spot the region of trust from the CSP pool. In this system, the cluster of trusted CSP is defined and the remaining CSPs are not recommended to the cloud customer (CC). The internet architecture is a wide area network with interoperability, scalability and durability. The analysis of the proposed system proves to be efficient in terms of accuracy and time complexity.
International usability testing

This chapter covers the unique requirements for usability testing with international users, whether these users are in your own country or in another country. Topics covered include learning about international users, understanding cultural differences based on research on different cultures, including the work of Hofstede and Hall, and creating personas for these users. The chapter explains how to plan a test, considering such factors as in-country or remote testing, using a local vendor, localizing the test protocol, working with an interpreter, selecting the appropriate moderator, and making other adjustments to accommodate cultural differences.
Voronoi Evolving Treemaps

The ninth IEEE Working Conference on Software Visualization (VISSOFT 2021) builds upon the success of the previous eight editions of VISSOFT, which in turn followed after six editions of the IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT) and five editions of the ACM Sympo0sium on Software Visualization (SOFTVIS). In 2021, VISSOFT will take place and be co-located with ICSME.
A Tile: A Look at Acoustic Fundamentals and Designs as Applied to Air-Cooled Electronics [How-To Presentation]

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. As air-cooling design continues to increase in airflow requirement without much relieve in the overall equipment form factor, acoustic design considerations need to be actively engaged at the start of the product development cycle in order to clearly define expectations and deliver the best achievable sound quality. In this how-to session, the speaker will present acoustic design fundamentals, review logarithmic arithmetic used in calculating sound levels, and review pertinent industry standards in performing acoustic testing for product evaluation.
Africa Finance Corporation – 4th Eurobond Issued

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 10 p. 22762B-22762B Policy and Practice Africa Finance Corporation – 4th Eurobond Issued First published: 02 December 2019 https://doi.org/10.1111/j.1467-6346.2019.09207.xRead 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume56, Issue10December 2019Pages 22762B-22762B RelatedInformation
Zero-error channel capacity of quantum 5-symbol obfuscation model

The existing noise channel coding methods need to be optimised in terms of channel capacity and algorithm complexity. Based on the characteristics of the quantum 5-symbol confusion-channel model and the theory of matrices, a coding method is proposed which combines the 5-symbol confusion channel with the quantum-superposition-state coding. This coding method uses two isomorphism steps to obtain the zero-error code words, which are the isomorphism between quantum superposition states and vectors and the isomorphism between channels and matrices. The theoretical derivation proves that the channel capacity is able to increase by employing quantum zero-error coding other than its classical counterpart.
A fast state estimator for systems including limited number of PMUs

For the IEEE 30 -bus system, although the PMU-based SE and the first stage of SCADA-based SE are both linear, and a larger number of measurements are processed in the latter, tpmu &gt; t 1 due to the additional calculation of the PMU measurement vector in rectangular coordinates as well as its error covariance matrix. With growing network size, t 1 increases considerably and even takes up a much larger proportion in tpsp; this is expected due to the sharp rise in the number of SCADA measurements.
Metric Based Ontology Quality Evaluation

Ontology helps semantic web to process and understand large amount of data available in Internet. Ontology uses concepts and their relationship with each other to represent knowledge within a domain. The represented knowledge can be analysed, inferred and reused to make decisions and to derive new knowledge. The developed ontology has to be assessed for quality before using or reusing it. Evaluation becomes a key factor to determine the quality of ontology. Different approaches and methods are used to ensure the quality desired by the user. This article identifies various aspects of ontology, provides a framework for metric based ontology evaluation, elucidates components in the framework and develops a tool based on the framework. The framework checks the syntax, structural and semantic measures of ontology. While a reasoner takes care of the syntax and parser errors, the structural metrics analyses the taxonomy of ontology. Semantic measures deal with the distance of concepts in ontology. Further, competency questions are used to do custom based quality checking of a particular domain. This article provides a systematic way to identify and measure the quality of ontology based on metrics.
LibGuides: Newspapers: Creating account for NYT.com

To highlight the Reed Database Subscriptions that contain or are Newspapers in a digital format.
Blockchain Technologies and Issues

Blockchain technologies are promising area of research on securing data since last few years. Blockchains are distributed ledgers that removing the need for a centralized authority to host data. In this paper, we review four basic elements in blockchain architecture namely distributed ledger, hashing, consen- sus algorithm and smart contract. We then highlight the issues in blockchain related to scalability, performance and security. Finally, we discuss several re- search possibilities drawn from these issues.
Penerapan Algoritma K-Means dalam Mengelompokkan Balita yang Mengalami Gizi Buruk Menurut Provinsi

The purpose of this study was to screen toddlers who were experiencing severe malnutrition according to province. Sources of research data used were obtained from the Ministry of Health of the Republic of Indonesia. The variables used are toddlers who experience malnutrition according to the Province. In this study using Data Mining Techniques using the K-means algorithm. It is expected that the results of this study can provide input to the central government to pay more attention to nutritional intake in infants, so as to increase the growth and development of toddlers in Indonesia. . And the data obtained by high clusters are 15 Provinsi yaitu (Aceh, Sumatera Utara, Nusa Tenggara Barat, Nusa Tenggara Timur, Kalimantan Barat, kalimantan Tengah, Kalimantan Selatan, Sulawesi Tengah, Sulawesi Selatan, Sulawesi Tenggara, Sulawesi Tenggara, Gorontalo, Sulawesi Barat, Papua Barat, Papua), dan cluster rendah ada 19 yaitu (Sumatera Barat, Riau, Jambi, Sumatera Selatan, Bengkulu, Lampung, Kep. Bangka Belitung, Kep. Riau, Dki Jakarta, Jawa Barat, Jawa Tengah, DI Yogyakarta, Jawa Timur, Banten, Bali, Kalimantan Timur, Kalimantan Utara, Sulawesi utara, Maluku Utara).
COVID-19 in Scandinavia

Download This Paper Open PDF in Browser Add Paper to My Library Share: Permalink Using these links will ensure access to this page indefinitely Copy URL Copy DOI
Collaboration checklist for creative robots

Through collaboration, Science, Engineering, and Art can create striking Human-Robot Interaction performance pieces, pushing technological and artistic boundaries to explore, educate, and challenge one’s understanding of HRI. However, the processes for creating a performance piece are often under discussed. This paper documents a collaborative effort to create a virtual performer, reflects on interdisciplinary work, and offers guidance for those considering such an endeavour.
Official statement Covid-19 crisis amendment to new dates for physical admission to campus for semester II, academic session 2020 2021

1. Universiti Malaysia Pahang (UMP) had issued an official statement regarding the Students Physical Admission to Campus for Semester II, 2020/2021 on 2 February 2021 and the government’s announcement on the extension of the Movement Control Order (MCO) for all states except Sarawak until 18 February 2021.
Working with Images and Media

Power Apps provides rich media capabilities. We can build apps that include images and videos, and we can also integrate with the cameras that are built into smartphone and tablet devices. We can even scan barcodes and retrieve pen input. This is particularly useful because it enables us to capture signatures and to convert handwritten annotations to text.
An Efficient System for Supporting Bat Swing of Beginners in Baseball Using Wearable Sensors

Recently a support system that improves sports skills using sensor or video camera data is attracting great attention. Since most of these systems are developed for professional athletes, few are available for beginners. In baseball, since hitting skills are generally acquired based on oral pantomimed by baseball experts, it is difficult for beginners to understand the advice based on the skill level of baseball experts. In this paper, we propose a support system through which beginners improve their hitting skills by analyzing the batting stance of baseball players using such wearable sensors as acceleration and angular velocity sensors. In our proposed system, beginners swing based on wearable sensors that compose a triaxial acceleration sensor and an angular velocity sensor to the bat and the body. Next, experts in baseball can analyze the modification of the batting stance of beginners by measuring the sensor values of the swing. In the evaluation result, our proposed system analyzed the differences of batting stance between experts and beginners in baseball and confirmed that we can effectively support the hitting skill of baseball beginners.
Charge sensitivity of a cavity-embedded Cooper pair transistor in the single-photon quantum noise limit

Using a field operator scattering approach, we analyze the quantum dynamics of an ultrasensitive electrometer - a Cooper pair transistor embedded in a quarter-wave microwave cavity (cCPT). While the cCPT is inherently a strongly nonlinear system, we restrict our present analysis to a necessary first investigation of its linear charge sensing capabilities, limiting to low pump powers corresponding to an average cavity photon number $\lesssim 1$. Assuming realizable cCPT parameters similar to those obtained from a characterization of an actual experimental device (B. L. Brock et al., arXiv:2011.06298), we predict the fundamental, quantum noise-limited charge sensitivity to be $0.12\, \mu{\mathrm{e}}/\sqrt{\mathrm{Hz}}$ when the pumped cavity has an average of one photon and the cCPT is operated close to charge degeneracy. This is to be compared with our first reported charge sensitivity value $14\, \mu{\mathrm{e}}/\sqrt{\mathrm{Hz}}$ in the single-photon regime (B. L. Brock {\it et al}., arXiv:2102.05362)