Reviewerly/exHarmony huggingface dataset:
Enhancing and Developing Multi Block Proxy Re-encryption Methodology in Network Security

Windows Azure Storage (WAS) is a scattered accumulating structure that empowers clients to store clearly boundless tends of information for any term of time. Gigantic safety is not given internet to content prospering. Internet storage device separates record into social events and contemplated security. Those encoded gatherings placed on emulate storage device assistance. The mixed contents changed over converted formats included esteem byte execution getting to the essential content. The internet device makes correspondence included mixed contents showed up unmistakably in group with the etching outfitted with the access to confirm the content ordinariness. The code is executed for the back-up of the data. The encryption arrangement of the contents done by the content owner before it accomplishes internet storage. This ensures veritable twofold clock encryption. In the paper we deal with the existing system we deals with. Server used for storing data. Single Content are uploaded into the different size in different server. That is inability to any information in a server influence the entire framework. Along these lines all content setback from the server. In the wake of utilizing different server this issue could be stayed away from. The encryption plots in the current framework are not compelling in light of the fact that just couples of activities are upheld over scrambled information. In the event that at all security exists, the outsider evaluator ought to be permitted to get to the whole information bundles for confirmation. Internet encounters a ceaseless disillusionment escape contents ground-breaking support execution present structure. This framework, Internet storage will part of document converts same size, thought about security. These relating encoded groups placed in various Internet storage, its passwords are dissipated in various main devices. That encoded information are changed over formats included consistency execution bind access getting to the primary content by utilizing AES, MD5 ALGORITHM if the considerable customer getting to the content cloud will recoup the contents reversible way.
Cardboard Castle

Research Article| May 01 2020 Cardboard Castle James Braun James Braun James Braun’s work has appeared and is forthcoming in Zone 3, SmokeLong Quarterly, Atlas and Alice, and elsewhere. His short story “Clay,” forthcoming in The Rectangle, won the Herbert L. Hughes Short Story Award. Search for other works by this author on: This Site Google the minnesota review (2020) 2020 (94): 25–26. https://doi.org/10.1215/00265667-8128154 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation James Braun; Cardboard Castle. the minnesota review 1 May 2020; 2020 (94): 25–26. doi: https://doi.org/10.1215/00265667-8128154 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll Journalsthe minnesota review Search Advanced Search The text of this article is only available as a PDF. Copyright © 2020 James Braun2020 Article PDF first page preview Close Modal You do not currently have access to this content.
Memsift forms strategic partnership with CSRE in China

Singapore-based Memsift Innovations Pte Ltd has entered into a strategic partnership with Beijing China Science Resources and Environmental Technology Co Ltd (CSRE) to work together on solutions for industrial liquid-waste volume reduction, brine treatment, zero liquid discharge and resource recovery in China.
Building a National Electronic Collection for Long-Term Access

The National Library of Canada is building a collection of Canadian electronic publications. This collection must be an authoritative source of information that is preserved and accessible for posterity. This paper addresses current practical concerns of acquisition, storage and access as well as issues and strategies for the long term. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
Supplementary material to &amp;quot;A Software Package to Simplify Tikhonov Regularization with Examples for Matrix-Based Inversion of SMPS and HTDMA Data&amp;quot;

Monte-Carlo analysis was used to test the fidelity of the inversion of Eq. ( 15).Each simulation follows the example presented in Figure 2 of the main text.Starting from a selected test case, the noise-perturbed apparent growth factor distribution function is simulated and then inverted it using one of the 12 bounded methods.The root mean square error of the reconstructed solution and the input is evaluated.Test cases include the Bimodal, Uniform, Truncated Normal, and Population examples shown in Figure 2 of the main test.The Population examples here are denoted Single Channel and Two Chan-5
University Degree and Citizen Science: The Necessity for Promotion of the Latter and the Possibilities of Its Organization in the Teachers’ Professional Training

Th e article reveals the opportunities, types of organization and ways to use the citizen science results at the Pedagogical University.It's been proved that future teachers of diff erent specialties have certain personal qualities that aff ect their training for scientifi c research activity.Th ese qualities diff er signifi cantly.All in all, the average values of personal qualities indicators point out that future teachers can be quite successful in certain types of scientifi c research activities, considering their strong personal characteristics and improving the weak ones.It is proved that if the pedagogical university organizes the participation of students in citizen science, then they better develop the skills of self-organization and other personal qualities, essential for a modern teacher-researcher.
The Application of Meta-Analysis in Econometric

Meta-analysis can enhance the statistical efficiency of data processing in academic research, effectively save the cost of scientific research and improve the strength of argumentation.To be able to the in-depth and detailed analysis of the differences of individual research results makes the analysis conclusions in many similar research problems more accurate and consistent in academic research.It can solve some problems that cannot be solved by the original independent research institutes, and can lead to new ideas and new propositions.More literature of the same kind can be processed according to the scientific standard procedure and method, making the result of the review more objective and close to reality.
2019 Benjamin Franklin Medal in Computer and Cognitive Science presented to Marcia K. Johnson, Ph.D.

Totting up the true value of urban trees could be the best way to protect them – and us, says Simon Usborne
Applications of FP Growth and Apriori Algorithm for Mining Fuzzified Spatial Dataset

Spatial data, also called geospatial data, is term needed to describe data linked to or containing knowledgeable data about a particular location on Earth’s surface. Spatial data mining's primary goal is to uncover hidden complicated information from spatial &amp; non-spatial information in spite of their enormous quantity and find the spatial relations density. Spatial Data Mining techniques, however, continue to be an expansion of individuals utilized in standard data mining. Spatial Data is an extremely challenging area since enormous quantities of spatial data have been obtained from the remote sensed to the GIS (Geographic Information Systems), ecological estimation, computer cartography, planning and many more. In a given paper, we only focus on an essential type of spatial vagueness termed as spatial fuzziness. Spatial fuzziness intakes the property of several spatial objects in certainty which don’t contain boundaries of sharp type and interiors or whose boundaries as well as interiors can't be determined in precise form. This paper provides the method for finding fuzzy spatial data of association rule. Association rules provided valuable data in the assessment of important correlations observed in big databases. Compared to the previous research work, the current approach for there search highlights the superiority over the same dataset in terms of time taken and generated rules. The rules generated tell about the occurrence of attributes. The results show that the current research is more efficient than that of the previous work and also less time-consuming.
An optimised component selection algorithm for self-adaptive software architecture using the component repository

Component-based software engineering focus on the development and reuse of the component. The component reuse is depending on the storage and retrieves process. The storage and retrieve process is carried by a component repository. This paper presents the component repository model for the developers to achieve good productivity. The component selection from the component repository according the functionality and requirements is a crucial part. This paper proposed an algorithm for optimising component selection with the functionality constraints like customer size, reliability and performance. The experimental result evaluates the performance of the algorithm and it is proved that the proposed algorithm had better performance in terms of component selection.
A Study of Artificial Intelligence Education System and Traditional Education System

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Anonymity in social networks: the case of anonymous social media

The anonymity provided by the so-called anonymous social networks is studied in this paper. More precisely, emphasis is given on investigating whether the underlying personal data processing in such networks may suffice to result in tracking or identification of the users. To this end, five popular anonymous smart applications are being analysed through monitoring the outgoing traffic of Android devices in real-time when using these applications, to examine which personal data - including device data - are being processed by either the anonymous networks or third parties such as library providers. The corresponding privacy policies of these applications are also examined, towards evaluating whether the information provided to the users is sufficient. Our analysis concludes that there is personal data processing in place even in such (so-called anonymous) applications which in turn implies that users anonymity cannot ensured, whilst the corresponding privacy policies may leave room for further improvement.
Developing German reading skills using the Moodle e-learning platform

О. В. Байкова, А. В. Казаков, Н
Understanding How Information Technology Can Help in Contracts Management

Contracts management is a multi-stage process involving all parties related to a contract. It ensures that all stated objectives are met, and timelines adhered to corresponding to project execution and delivery. The fundamental premise of contracts management is to ensure quality, compliance, and cost optimization. There are several forms of contract each with its own unique features and applications. In this chapter, the authors focus on how information technology can be used to aid in supervision of contracts, materials management, survey, and design management. They also discuss the role of smart contracts and the underlying blockchain technology that is used as the basis for making smart contracts work.
A Survey Paper on Password Security Techniques

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Khmer-Chinese bilingual LDA topic model based on dictionary

Multilingual probabilistic topic models have been widely used in topic of mining area in multilingual documents, this paper proposes the Khmer-Chinese bilingual latent Dirichlet allocation (KCB-LDA) model based on the bilingual dictionary. With the bilingual attribute of entries in dictionary, this method first maps the words expressing same semantic meaning to the concept abstract layer, then group concepts into the same topic space. Finally, documents in different languages will share the same latent topics. The same topics can be represented in both Chinese and Khmer jointly when given a bilingual corpus by the introduction of the concept layer. The experimental results show that our topic modelling approach has better predictive power.
Data Governance Architecture Technologies

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Rotary Inverted Pendulum Control using Fuzzy Logic Controller

In Modern world the technology is developing faster. The system uses different control theories and various technologies are updated faster. Now here control analysis of various pendulums especially cart pendulum, rotary (Futura) inverted pendulum in various techniques like fuzzy controller Using some soft computing techniques like fuzzy logic controller because now the machine learning will be going to overrule all the fields. The analysis of various sources and simulated it in MATLAB.
Chapter 4: Theory of Nonlinear Observability in the Absence of Unknown Inputs

The goal of this chapter is to provide basic results about state observability. In particular, one of the most important results is the analytic test to automatically check whether the state that characterizes a given system is observable or not. In the case when the dynamics are not driven by unknown inputs (that is, the case studied in the present chapter), this automatic test was introduced in the 1970s [19]: it is the observability rank condition.14
Teaching Learning Based Optimization in Semantic Web of Distributed RDF

Semantic web data use as a unified data model in various areas, such as Bioinformatics, media data, Wikipedia, social networks, and government open data. Sharing information among people using semantic web helps to understand and manipulation of information. In the semantic web, the Resource Description Framework (RDF) denotes the linked data. The logical data is represented as RDF model to manage the unformatted data and it provides an ability to machine interpretability of data. The major problem on the web is to handle the large volume of the data that also has other challenges like query processing and optimization over widely distributed RDF data. In this research, the Teacher Learning based Optimization (TLBO) algorithm is proposed for the query optimization to reduce query cost, and optimize the computation time of the query. The TLBO technique select the suitable location and size of the population based on the data that effectively provide the solution for the distributed data i.e.., triple pattern of semantic web. The experimental result showed that the TLBO in query optimization performed well in the manner of query computation time compared to existing methods like MARVEL. Additionally, the results showed that the proposed TLBO model achieved nearly 4.93 seconds for executing the multiple queries in LUBM dataset.
Image analysis by efficient Gegenbauer moments computation for 3D objects reconstruction

In this paper, we suggest a new technique for fast computation of Gegenbauer orthogonal moments for the reconstruction of 3D images/objects; a typical comparison of the proposed method with the conventional ZOA methods shows significant improvements in term of error reduction, image quality and consumption time. Then we compare our new approach with an existing method using Legendre and Zernike moments in the case of 3D image/object. The obtained results prove that Legendre and Zernike moments are slightly better than Gegenbauer, they are still very efficient and gives very good results in terms of MSE and PSNR. But, Zernike moments have higher computational cost than Gegenbauer moments.
Micro-content Shortlisting Using Interactive AI Method

A cross-domain real-time shortlisting method is provided using Artificial Intelligence (AI). The method includes instantaneous identification of relevant information on the user interface (UI) like the web browser and uses a system to inject actionable buttons in an overlay on the website for shortlisting. Further, the relevant information can be shortlisted dynamically while the user is browsing. Thereafter, the shortlisted information will be available in one place as a universal list and accessible across other websites with a consistent experience.
Freedom of Expression in the Workplace

Abstract This chapter addresses the implications for democratic government of employment-based limitations on freedom of speech. The workplace is a distinctive expressive domain because the ‘censor’ and the speaker are typically bound together by an employment contract that affords the former a large measure of hierarchical control over the latter. The employer, having hired the employee to do a job, has legitimate interests in regulating some employee speech. The employee, for their part, is typically dependent on the employer for their livelihood, and vulnerable to the employer’s overreaching beyond those legitimate interests. Those features of the employment relationship give rise to a distinct set of questions about the value and limits of free speech in the workplace setting, public or private. The chapter then focuses on how US law, primarily constitutional law but also non-constitutional law, has dealt with those questions. While the US law governing freedom of expression in the workplace is unique in some ways, the problems it deals with will arise in any society that both recognizes the value of freedom of expression and channels labour into the production of goods and services largely through the institution of employment.
Speed of Sound

The speed of sound is a property of the given medium. In echo-ranging, time and distance are related by the speed of sound of soft tissue (1540 m/sec).
Sistem Informasi Program Pelaporan ISPA di Kota Surabaya

Acute Respiratory Infections (ARI) is a disease that occurs in many developing countries and also on the list of 10 most diseases in hospitals. This study aims to analyze the information system of ARI Reporting Program in Surabaya. Reporting on ARI cases is a surveillance of the disease. If many cases reported, it is better than only a few cases reported. This research is a descriptive study with a qualitative approach. Based on the results of the interview with the informant, it was stated that the ARI reporting program had helped in recording ARI cases that occurred in Surabaya. File formats that are still manual and not integrated with the internet (online) make sending reports longer. Even if you implement an integrated online, data entry only needs to be done once so that the same data will be stored electronically and can be sent and processed. In addition, in the excel file ARI reporting program, there are several output menus that can be used as a result of the description of ARI cases. However, the output was underutilized so that less case monitoring was implemented to reduce the number of ARI / Pneumonia cases that occurred in Surabaya. The conclusion is the ARI reporting program is very helpful in the process of data collection of ARI cases, but it would be better if they use the type of online computerization management and better utilize the graphical output of the ARI reporting program.
PREPARING TEACHING SWIFT PROGRAMMING AND ACTUAL CLASSROOM TEACHING

Apple Swift programming is the behind-the-scenes technology powering millions of iOS and Mac OS X apps that we use every day.Our business school is offering Swift programming as an elective course for all business major students.At the beginning of this initiative, we had no expertise in Apple Mac platform and Swift programming.This paper documents our journey to overcome the challenges of unfamiliar technology as well as the knowledge learned along the way.In the process of preparing for teaching Swift programming, we found that the most efficient way to acquire Swift programming skills is through hands-on practice and exploration.In our exploration, we discovered many unique features of Swift.This study also reports our actual teaching experience and the classroom observations.We share the tips and insights gained from preparing and teaching Swift.This paper potentially makes some practical contributions to the area of teaching Swift programming.CIS faculties interested in teaching Swift programming may benefit from this study by making use of the practical guide, lessons learned, and workarounds.It is our objective to assist CIS faculties to make their preparation and teaching of Swift programming more efficient and smoother.
Flow Graphs

In Chapter 2 , we introduced a set of algorithms that match patterns we often come across in applications. Those are great! And we should use those whenever we can. Unfortunately, not all applications fit nicely into one of those boxes; they can be messy. When things start to get messy, we can become control freaks and try to micromanage everything or just decide to “go with the flow” and react to things as they come along. TBB lets us choose either path.
Constraint specifications for domain-specific systems: ontology-driven approach

Well-formed Domain Specific Modelling Languages (DSML) are devised based on well-defined sets of syntaxes and semantics. These precisions are obtained raising at abstraction levels in domain specifications. Yet, appropriate representations of constraints are also important to limit meanings of generic concepts to different abstraction levels in a DSML. To address this issue, in this paper, a constraint specification language is developed. This proposed language is capable to restrict meanings of general concepts represented in an upper level ontology - Generalised Ontology Modelling (GOM) (Banerjee and Sarkar, 2016b) to domain specific systems in a systematic way. Further, several automated methods impose distinct constraints at different levels of abstractions in domain specific modelling. These methods also validate distinct constructs and constraints in domain specific systems against general concepts of GOM. The applicability of the proposed work is proved using couple of case studies based on applications in data-intensive and service-based domains.