Reviewerly/exHarmony huggingface dataset:
Quantitative Exploration of Opacity for Cloud Computing Systems

United cloud frameworks increment the dependability and lessen the expense of the computational help. The subsequent mix of secure private mists and less secure open mists, together with the way that assets should be situated inside various mists, emphatically influences the data stream security of the whole framework. In this paper, the mists just as elements of a combined cloud framework are alloted security levels, and a probabilistic stream delicate security model for a unified cloud framework is proposed. At that point the thought of murkiness — an idea catching the security of data stream — of a distributed computing frameworks is presented, and various variations of quantitative examination of haziness are exhibited. Accordingly, one can follow the data stream in a cloud framework, and break down the effect of various asset assignment techniques by measuring the comparing murkiness attributes. Joined cloud frameworks increment the immovability and diminish the expense of the computational help. The resulting mix of secure private mists and less secure open mists, together with the way in which that advantages should be orchestrated inside various hazes, unequivocally impacts the data stream security of the whole structure. In this paper, the mists comparably as substances of a joined cloud structure are alloted security levels, and a probabilistic stream delicate security model for a united cloud framework is proposed. By then the possibility of shadowiness — an idea getting the security of data stream — of a passed on figuring frameworks is presented, and various assortments of quantitative assessment of obscurity are appeared. Thusly, one can seek after the data stream in a cloud structure, and take a gander at the effect of various asset scattering systems by surveying the differentiating dimness attributes.
The Library and ecology: The experience, traditions and innovations

The experience and traditions of ecological education of the Republican population at A. S. Pushkin National Library, as well as the innovative vectors of these activities, are discussed, i. e. information and exhibition services, Green Living Room ecological club. The issues of interdepartmental collaboration and municipal libraries’ activities in ecological education are also examined.
Recruitment and Selection Process Towards Victory Software Solutions, Chennai

The requirement for the venture is to decide the present and future necessities of the association staff arranging and occupation investigation exercises, to comprehend the enlistment and choice procedure in association and to examination of the time the board in the enrollment procedure. This investigation settles on choice in choosing the correct contender for the correct activity, this examination encourages the association to recognize the region of issue and propose approaches to improve the enrollment and determination process
Sheltered, Tenuous in Sequence

Recent advances in psychoacoustic models and read- write modalities are based entirely on the assumption that neural networks and redundancy [1] are not in conflict with Lamport clocks. Given the current status of adaptive configurations, scholars particularly desire the deployment of DHCP. Torsel, our new heuristic for the investigation of Boolean logic, is the solution to all of these obstacles.
Entanglement Between a Photonic Time-Bin Qubit and a Collective Atomic Spin Excitation

Light-matter entanglement combines the long-distance transmission advantage of photonic qubits with the storage and processing capabilities of atomic qubits. In this work we used a laser-cooled atomic cloud to generate entanglement between photonic time-bin qubits and atomic spin excitations.
Google India

Pichai Sundarajan, the CEO, Google Inc. shifted uncomfortably in his chair. He had just got a call from the head of Strategy and Operations informing him of Amazon surpassing Alphabet’s market cap for the first time ever, in the NASDAQ ratings. Google had lost its position to Amazon which was now the second most valued company in the world (Exhibit 7.1). He glanced haphazardly at the revered quote of Mr. Page and Mr. Brin flashing at him from his tabletop. He shifted his gaze slightly to the map of India stuck firmly on his target sheet. If he ever needed some inspiration, it was now.
On-demand photonic entanglement synthesizer

We demonstrate on-demand generation of photonic entanglement by dynamically controlling a loop-based circuit at nanosecond timescale. We generate 6 types of entangled states including 1000-mode 1D-cluster states without changing the circuit architecture.
E-Learning: Educational Video Search through Dynamic Video Annotation

Multimedia tools available on the web, particularl y for learning environments, play an important role in the fiel d of education. With the growing number of these multimedia tools, it is important to explore, share, recycle and connect the m to enhance learning experiences. Many videos available on the web lack semantic connections between them even though they have some similarity through their content. Hence to bridge the gap between the semantically related videos, in the proposed system, we adopt the Linked Data technology, in order to semantically annotate the video resources. The relationships between those annotations are stored in the video annotation ontology. The proposed method provides the benefits of high accuracy, performance and good knowledge for the users.
CFM: collusion-free model of privacy preserving frequent itemset mining

Although many privacy preserving frequent itemset mining protocols have been proposed to preserve the privacy of participants, most of them are vulnerable against collusion. Usually, these protocols are designed for semi-honest model; where in this model, it is assumed that the participants do not deviate from the protocol. However, in real world, participants may collude with each other in order to falsify the protocol or to obtain the secret values of other parties. In this paper, we analyse the vulnerability of previous privacy preserving frequent itemset mining protocols from privacy point of view, and then, we proposes a new protocol (CFM), which preserves the privacy of participants, even in collusion state. CFM is designed for mining frequent itemsets from homogenous (horizontally partitioned) data, which not only preserves the privacy of participants in collusion states, but also shows better performance in comparison with previous works. In order to achieve this goal, CFM employs a new secret sharing and secret summation scheme, which distributes secret values among participants. Privacy preserving level of CFM is evaluated based on the disclosure of sensitive information.
Securing electronic health system using crystographic technique

Telemedicine application mostly takes place in advance settlements, where important medical information is to be effectively secured and transmitted on public networks. Whilst the data is accessed by an illegitimate individual, it may lead to malicious attack or any modification of medical image can result in misdiagnosis. The notion of medical information storage in automated form arose immediate concerns about healthcare data security and privacy. The need to design a secure distributed system to provide adequate authentication of patient data and confidentiality of patient medical record becomes imminent. This paper addresses confidentiality issues of electronic health record (EHR) in clinic tele-diagnostic system using crystographic technique. The developed crystographic algorithm embraces discrete wavelet transform (DWT) steganography technique instead of the traditional least significant bit (LSB) technique thereby providing required data robustness, payload capacity and imperceptibility of patient data over tele-consultation in Tele-clinic diagnostic scenario. Results of quantitative performance evaluation of host medical image of the EHR system showed an encrypted imperceptible and robust stego image of peak signal to noise ratio (PSNR) greater than 40 db. Results of evaluation portray a system capable of providing countermeasures against eavesdropping attack in data communication networks in clinic tele-consultations.
Understanding GraphQL

GraphQL is an end-to-end system for creating and consuming APIs, providing a more flexible alternative to using traditional RESTful web services, such as the one created in Chapter 23 . In this chapter, I explain how GraphQL services are defined and how queries are performed. In Chapter 25 , I demonstrate the different ways that a GraphQL API can be consumed by a React application. Table 24-1 puts GraphQL in context.
Hypothesis and Automata Modified Archetypes

Steady time hypothesis and I/O automata have earned restricted enthusiasm from the two specialists and frameworks builds over the most recent quite a long while. Following quite a while of suitable research into Boolean rationale, we show the assessment of semaphores, which encapsulates the organized standards of computerized reasoning. We propel a heuristic for the investigation of specialists, which we call KauriSmew
Merkle Hash Tree with Hash based Digital Signature for Cloud Data Confidentiality and Security

It provides efficient processing power, an unbelievable computation speed and a wide array of stage space.Basically, the cloud computing transfer the huge volume of data on the different cloud servers which is maintained by the different kinds of cloud providers and this process help to remove the physical data’s possession even though user are the data owners. This extraordinary element coordinates to raise the innumerable new security disadvantages which have not been surely known obviously. Consequently, in this paper present a novel methodology for secure cloud information stockpiling with the assistance of Merkle Hash Tree (MHT) with hash based advanced mark to give trustworthiness and protection of redistributed information in cloud using private key security approach. Additionally, in this work use theAdvanced Encryption Standard (AES) for conforming the data confidentiality and data security before the data is stored into the cloud. The simulation results show the better results in term of Data Recovery Time, Processing time, and efficiency respectively
The assessment of professional competence in university digital environment

The article presents a methodology for assessing the level of formation professional competencies in university digital environment. The proposed methodology includes principles that should be taken into account when assessing learning outcomes in the digital environment, a three-step approach to building the educational process using adaptive e-learning course (AELC), and a model for assessing the formation of professional competencies in AELC. The scientific novelty of the methodology is constructing a model that includes formalizing the structure of an adaptive e-learning course and means of assessing labor functions: knowledge, skills and labor actions according to the cognitive, praxiological and motivational/axiological components of competency. The formalization of the structure and evaluation tools of the adaptive e-learning course was carried out to assess the results of the formation of professional competencies. Formulas are proposed for assessing professional competency for individual modules of the discipline, for the discipline and for the educational program as a whole, implemented in digital environment. The results of testing the methodology for assessing the formation of professional competencies in teaching students of the direction of training “Information Systems and Technologies” in School of Space and Information Technologies of Siberian Federal University are presented. The approach allows us to minimize the subjectivity of the teacher in assessing student learning outcomes, and also allows for automated assessment of the level of formation professional competencies in the digital environment and, according to the new education standards (FSES 3++), provides sufficient objectivity in assessing formation level. In the future, the proposed method can be extended to estimate the level of formation of universal and general professional competencies of the curriculum and to become the universal tool to assess the level of training of the graduates.
Quantum Monopulse Radar

We evaluate the feasibility of a quantum monopulse radar, focusing on quantum illumination (QI) radars and quantum two-mode squeezing (QTMS) radars. Based on their similarity with noise radar, for which monopulse operation is known to be possible, we find that QTMS radars can be adapted into monopulse radars, but QI radars cannot. We conclude that quantum monopulse radars are feasible.
Development and Implementation of the Robot Prototype with Inertial Navigation for Work in the Arctic

Currently, there is a very rapid development of robotics. People use robots in many areas of their activities. Especially valuable is the use of robots in hazardous conditions for humans, in particular in studies in the Arctic. In this case, there is an acute problem of navigation. The use of global navigation satellite systems (GNSS) in the Arctic is difficult due to the small number of satellites and the influence of Aurora. Therefore, we chose the inertial type of navigation for the prototype of the robot. We used LSM330DL micromechanical sensors and Atmega8-16AU microcontroller to create a navigation system. We used wireless access point Ubiquiti Bullet M2HP Titanium to connect the robot with researchers. Tests of a prototype of a robot on a wheeled platform showed that the coordinate determination error does not exceed 6%. Tests of the navigation system were carried out up to -20°C. System components allow operation up to -40°C. The proposed navigation system can be used to create robots for work in the Arctic.
Personalized Medical Information Filtering using Evidence Phrases

Finding the required information in the field of medicine from the World Wide Web has been a challenging task for the users since large number of medical research documents are added to it every day. Personalization of web search would help the professionals or beginners in medicinal field in retrieving the relevant information. The proposed method gathers the users’ browsing patterns from the browser and builds evidence phrases based on factors like visit count, bookmarks or downloads. These evidence phrases determine the rank of the websites in the search results. The proposed method is evaluated with the relevance data collected from allied medical professionals. Evaluation shows that the proposed method ranks the user preferred pages in the top of the search results. It helps the users from the field of medicine to find their information needs more quickly without surfing all the search results of the query.
A Inspection on Sentiment Research of Big Data: Techniques, Open Challenges

Due to the invention of Web 2.0, the users have become more interest to share their content day by day. The emergence of various social networking sites has added to a greater extent to these activities. These provide a very good platform for the users to share the opinions of the persons across the globe. The opinions shared by the customers on the web can have the prevalent over the service industry. Many industries such as educational institutions, researchers, business organizations are concentrating opinion mining which is also called as sentiment analysis (SA) to retrieve the views and opinions posted by the public. This paper made a survey on Sentiment Analysis (SA) which aims to discusses technical aspects of SA (techniques, types) .This paper further highlights the main challenges faced by SA. These challenges present a lot of scope for research work in the future
News: PhotonicsViews 1/2020

PhotonicsViewsVolume 17, Issue 1 p. 4-9 NewsFree Access News: PhotonicsViews 1/2020 First published: 02 January 2020 https://doi.org/10.1002/phvs.202070102AboutPDF ToolsExport 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 Volume17, Issue1February 2020/March 2020Pages 4-9 RelatedInformation
Grafische Darstellungen von Funktionen

No AccessEinführung in MATLAB/SimulinkOct 2020Grafische Darstellungen von FunktionenAngelika BoslAngelika BoslSearch for more papers by this authorhttps://doi.org/10.3139/9783446465466.005SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2020Pages: 106-146Print ISBN: 978-3-446-46403-2eISBN: 978-3-446-46546-6 Copyright & Permissions© 2020 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
Efficient Energy Conservation using ARM Algorithm in Wireless Sensor Networks

The Wireless Sensor Network (WSN) is that technology that provides ideal solutions that are cost-effective and used for a varied range of the applications that are used from environment to military operations, from healthcare to agriculture and so on. In the agricultural environment and its monitoring, the WSN will play a critical role owing to the cost effective and the comfortable WSN deployment. India is that country in which there are sufficient resources available naturally and these are based on the agriculture that contributes to the socioeconomic status and the economy. The very powerful tool which generates the vast as well as the diverse data that includes all the agricultural datasets is called Association Rule Mining (ARM). A very interesting topic in data mining in recent times is the association rules and their ranking. The work will deal with the network of agricultural sensors that measures the moisture of soil, the humidity, temperature and the ARM that is based on its ranking.
Conjectures and Open Problems

In this chapter, we list some conjectures and open problems that have yet to be settled or solved.
Laypeople's Collaborative Immersive Virtual Reality Design Discourse in Neighborhood Design

The article discusses design communication and participation of laypeople in a virtual participatory urban design process. We speculate that an immersive virtual environment facilitated instrument can allow laypeople to take part actively as designers in the early stage of urban design ideation and generation. We have developed a design communication framework where laypeople can participate in design discourse on a neighborhood's future urban form. The strategy describes an urban design intent, which is informed by the development procedure of an instrument and workflow to engage participants. The integration of the instrument and the engagement procedure enable continuous designing of urban form by laypeople. A protocol analysis has been undertaken to investigate design communication. A coding scheme is applied to investigate, analyse, and understand how laypeople communicate with the design instrument and control design in the virtual environment. Through engaging non-experts, the research impacts on the perceptual affordance created by immersive 3D buildings artifacts and verbal conversation. The protocol analysis validated the setup so that subsequent studies can address the meaningfulness of such design conversations.
Comparing Degenerate Strings

Uncertain sequences are compact representations of sets of similar strings. They highlight common segments by collapsing them, and explicitly represent varying segments by listing all possible options. A generalized degenerate string (GD string) is a type of uncertain sequence. Formally, a GD string Ŝ is a sequence of n sets of strings of total size N, where the ith set contains strings of the same length ki but this length can vary between different sets. We denote by W the sum of these lengths k0, k1, …, kn-1. Our main result is an O(N + M)-time algorithm for deciding whether two GD strings of total sizes N and M, respectively, over an integer alphabet, have a non-empty intersection. This result is based on a combinatorial result of independent interest: although the intersection of two GD strings can be exponential in the total size of the two strings, it can be represented in linear space. We then apply our string comparison tool to devise a simple algorithm for computing all palindromes in Ŝ in O(min{W, n2}N)-time. We complement this upper bound by showing a similar conditional lower bound for computing maximal palindromes in Ŝ. We also show that a result, which is essentially the same as our string comparison linear-time algorithm, can be obtained by employing an automata-based approach.
Introduction

In computer science, evolutionary learning and optimization denotes a class of nature-inspired evolutionary computation approaches which represents one of the main pillars of computational intelligence.
Security analysis and improvement of source independent quantum random number generators with imperfect devices

Recently, a source-independent quantum random number generator (SI-QRNG), which can generate secure random numbers with untrusted sources, has been realized. However, the measurement loopholes of the trusted but imperfect devices used in SI-QRNGs have not yet been fully explored. Here, we point out and evaluate the security loopholes of practical imperfect measurement devices in SI-QRNGs. We also provide corresponding countermeasures to prevent these information leakages by recalculating the conditional minimum entropy and adding a monitor. Furthermore, by taking into account the finite-size effect, we show that the influence of the afterpulse can exceed that of the finite-size effect with the large number of sampled rounds. Our protocol is simple and effective, and it promotes the security of SI-QRNG in practice as well as the compatibility with high-speed measurement evices, thus paving the way for constructing ultrafast and security-certified commercial SI-QRNG systems.
Data Mining

Data mining has attracted a great deal of attention in the information industry in recent years due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. An important topic in data mining research is concerned with the discovery of association rules. This paper focused on the data mining techniques, application areas of data mining. This paper also studies the importance of association rules and various algorithms for generating association rules.