Reviewerly/exHarmony huggingface dataset:
A SURVEY ON VARIOUS SECURE AUTHENTICATION SCHEMES IN INTERNET OF THINGS

Internet of Things (IoT) is a computing concept which provides interconnection between the uniquely identifiable devices. IOT has a vast application which includes smart cities, smart homes, e-health, wearableÂs etc. Due to this millions of devices are connected to each other. Those connected devices will have capabilities to collect data, analyse and even make robust decisions without human interactions. Security is a preeminent prerequisite in such conditions, and specifically authentication is of high priority given the harm that could occur from a malicious unauthenticated device in an IoT system. The authentication is a complex task due to heterogeneity in devices that are interconnected in IoT system. Authentication allows devices to communicate with users in a secured manner. In this paper, we present various authentication models that are proposed to provide security in the IoT.
LibGuides: Tech Tips: Browser Tips

Wondering how to install Respondus LockDown on your personal computer? Need to learn how to save your Word document as a PDF file? Here are some resources!
Library Guides: Video Resources for Ensemble Music in a Remote Environment: Adobe Premiere Pro

This guide includes video tutorials for creating virtual chamber music recordings with a variety of technology platforms, and an extended discussion by leading ensemble musicians on meeting the challenges of the COVID-19 environment.
Evaluation of Evidence in Dark Web Drug Cases: The Approach of the Finnish Supreme Court

The dark web has become a popular platform for the sale of illegal drugs. Individual cases regularly come to the attention of the criminal justice system when envelopes and parcels containing drugs are intercepted in customs inspections. In such a situation, the main evidence against the alleged buyer consists of the addressee information on the mail item. The addressee may claim to be unaware of someone ordering drugs using their name and address, and evidence relating to the activity on the dark web itself is typically lacking. The Supreme Court of Finland has recently decided two such cases with different outcomes. In this paper, the approach of the Supreme Court is analyzed in an effort to clarify the decisive factors in such cases and to consider the strengths and weaknesses of this approach.<br/>
Research Guides: Create Infographics: Home

Use infographic checklists to follow best practices for data & design visualization. Interactive examples demonstrate effective and ineffective use of visualization principles.
LibGuides: Library Resources: WorldCat Discovery

This guide provides a starting place to get help while working in an online environment. It let's you decide what kind of help you need. A single search or by format for resources
Laplace Approximation for Uncertainty Estimation of Deep Neural Networks

Deep learning is at the frontier of machine learning and automation, using deepneural networks as the main workhorse, which have revolutionized the way weextract information from large amounts of data in computer vision, naturallanguage processing and other domains. Moving from purely academic to realworld scenarios has renewed interest into the way those powerful algorithms drawtheir conclusions and how to quantify the quality of their predictions beyond mereaccuracy.From a practitioner’s point of view, the most important information to obtainalongside the algorithm’s prediction is the uncertainty attached to it, which isthe basis for an accurate assessment of confidence. Unfortunately, extracting thisinformation from large models and datasets has proven to be difficult. A commonapproach so far has been to devise a method that makes as many approximationsas necessary to render the problem tractable while still yielding at least somewhatuseful uncertainty estimates.This work looks at the problem from a slightly different angle: By first choosinga tractable and comparatively simple method, the burden then lies on the modeldesign to lend itself to the chosen approximation. To this end, the most populardeep neural network architectures are compared based on their compliance to uncertainty estimation by Laplace approximation, assessing empirically the methodspotentials and deficiencies as well as its applicability to large models and datasetswhile working towards an understanding how architectural choices correlate withthe quality of obtained uncertainty estimates
Loma Linda University Libraries: Citation Style Guide: Research Help

How to cite electronic documents in AMA, APA, MLA, and Chicago styles, plus links to further information on these style formats.
Research Guides: Downloading e-books from the library collection: Downloading e-books from ProQuest Ebook Central

This guide provides instructions on how you can download e-books in the library collection from several different platforms.
LibGuides: E-Book & Digital Study Aid Access: ProView E-Books

William M. Rains Library offers access to multiple e-book platforms for study aids, treatises, and other titles for our students, staff and faculty to utilize. West ProView titles including Rutter Guides
Libraries: Collection Development for Earth & Environmental Sciences in the Boston College Libraries: Collection Management

Criteria for collecting and maintaining materials in the subject area of Earth & Environmental Sciences, with links to general library collection policies.
ANALYSIS OF THE STUDENTS ERROR ON USING COUNTABLE AND UNCOUNTABLE NOUNS IN WRITING DESCRIPTIVE TEXT OF THE TENTH GRADE STUDENTS OF SMK SARASWATI SALATIGA IN THE ACADEMIC YEARS OF 2019/2020

The Research is mainly aimed to analysis of the students’ error on using countable and uncountable nouns in writing descriptive text of the tenth grade SMK Saraswari Salatiga in the Academic Year 2019/2020. The subject of this research consists of 33 students in X TPMI B. The objective of the study are (1) to find the types of error that students make in forming countable and uncountable nouns in writing descriptive text. (2) To find out the causes that are made by students in forming countable and uncountable nouns in writing descriptive text. This research applies Qualitative approach with descriptive approach. The errors are collected identified and classified based on The Surface Structure Taxonomi (SST) that specifies three types of errors namely omission, addition and misformation. The result shows (1) the most frequent category of forming countable and uncountable nouns errors contributed by students of the tenth grade of SMK Saraswati were omission error with the frequency 50%, the second is addition error with the frequency 25%, and the lowest frequency of error was in misformation error with the frequency 25%. (2) The errors implied that they did not master the form of countable and uncountable noun yet because they did not know the main rules in using countable and uncountable nouns and also they face difficultness in distinguish which are the countable noun and uncountable noun.
#EDU106 Student Artifacts and Comments--Needed to do this as feeling blue we missed #edu106 Ignite Talk and portfolio day at @scsu favortie days of semester

Class DescriptionEDU106 New Literacies: Digital Text and Tools for Lifelong Learning s a technology fluency class I teach at Southern Connecticut State University. We learn
Improving Load Balance via Resource Exchange in Large-Scale Search Engines

Load balance is one of the major issues in large-scale search engines. A commonly used load balancing approach in search engine datacenters is to reassign index shards among machines. However, reassigning shards within stringent resource environments is challenging due to transient resource constraints (during reassignment, some resources are consumed simultaneously by a shard on the initial machine and its copy on the target machine).
DATA PRIVACY PROTECTION IN WIRELESS SENSOR NETWORK USINGRANDOM SLICING METHOD

Wireless sensor network is useful for many applications such as monitoring environment, assets, sourcelocation and protection. The data mule is mobile data collector and it is used to collect sensed data from sensor node. Thedata can be moved from one node to another node. The main problem is reliable and energy efficient. Wireless sensornetwork has reliable and trustful data aggregation services. In this paper, we propose data privacy protection method fordata mule in WSN environment. Existing methods are more computation difficulties and communication over heads. Inour method, we use encrypted data and share to other nodes without stealing the data. This method is called as Randomslicing method. The each data mule values are collected from sensor node and forward to next layer. The data reaches tonext hop from base station. The sink service enabled for reliable communication. The experiments are conducted toevaluated the performance and compare the results.
Challenging Changes for Future Music Production

In recent years, there have been major changes in society on many levels. Such changes are of course of great importance to many urban residents. The changes we are referring to in this paper, are ...
Research Guides: Create Infographics: Visual & Design Considerations

Use infographic checklists to follow best practices for data & design visualization. Interactive examples demonstrate effective and ineffective use of visualization principles.
Criteria and indicators of graduates’ readiness for professional activity

Based on the analysis of modern literature, the paper clarifies the concepts of readiness and readiness for professional activity. The considered concepts made it possible to identify criteria for technical university students readiness for future professional activity. The formulated criteria made it possible to determine students readiness indicators for future professional activities. A rating assessment of the students mathematical competence and the gross scientific product of the university were selected as indicators of readiness. The choice of these indicators is justified using statistical data of the Samara Region: gross regional product and the ratio of the selected industry wage to the average wage. The demand for technical university graduates labor is a function of the real wage rate. The results of the correlation analysis prove that the technical university graduates readiness for professional activity has a significant effect on the regional economic development degree, which affects the degree of social-economic development. The study was conducted on the basis of Samara State Technical University. The work presents pedagogical conditions for the organization of the educational process for the development of technical university students readiness for professional activity. The obtained materials can be used as the basis for further refinement of students readiness indicators for professional activities and in the content of the training.
Co-located and Distributed Teams in Software Development Projects : An evaluation of differences in terms of soft factors, performance and cost efficiency in co-located and distributed teams

Background It is evident that due to the globalization, offshoring and cross-national collaboration has become a natural evolution for many companies which have created the virtual world. The virtu ...
AN ERROR ANALYSIS OF NOMINAL AND VERBAL SENTENCE MASTERY IN STUDENTS’ WRITING OF RECOUNT TEXT (A Qualitative Research at the Tenth Grade Students of SMK Darul Fikr Andong in the Academic Year 2019/2020)

Khoiruzzahwa, Kholifa. 2020. AN ERROR ANALYSIS OF NOMINAL AND VERBAL SENTENCE MASTERY IN STUDENTS’ WRITING OF RECOUNT TEXT (A Qualitative Research at the Tenth Grade Students of SMK Darul Fikr Andong in the Academic Year 2019/2020). A graduating paper, English Education Department, Teacher Training and Education Faculty, State Institute for Islamic Studies (IAIN) Salatiga. Counsellor: Mrs. Sari Famularsih, S.Pd.I., M.A.This research is about an error analysis of nominal and verbal sentence mastery in students’ writing of recount text made by the tenth grade students of SMK Darul Fikr Andong in the academic year 2019/2020. The objectives of this research were to know about the sources of error made by students in writing nominal and verbal sentence and to know the most dominant error of nominal and verbal sentence in writing recount text at the tenth grade students of SMK Darul Fikr Andong in the academic year 2019/2020. The instrument of the research was test, interview and documentation. The research approach was descriptive qualitative method.The result of this research showed that there were nominal sentence errors and verbal sentence errors made by the tenth grade students of SMK Darul Fikr Andong in the academic year 2019/2020 in writing recount text and the source of error was intralingua error especially in false concept of hypothesis and over?generalization. Verbal sentence became the most dominant error in writing recount text made by the tenth grade students of SMK Darul Fikr Andong in the academic year 2019/2020 and the percentages was 72.99% or 100 errors. It was higher than nominal sentence that the error was 37 errors or 27.01%.Keywords: Error, Source of Error, Nominal Sentence, Verbal Sentence Writing, Recount text.
Phenomenology of SO(10) Grand Unified Theories

Although the Standard Model (SM) of particle physics describes observations well, there are several shortcomings of it. The most crucial of these are that the SM cannot explain the origin of neutri ...
Mastering AVOXI's Contact Center Software | AVOXI

One of the unique connections between our contact center technology and our business is the fact that we use our own product to run our company! Our ...
Role-Based Access Classification: Evaluating the Performance of Machine Learning Algorithms

The analysis of relational database access for the purpose of audit and anomaly detection can be based on the classification of queries according to user roles. One such approach is DBSAFE, a database anomaly detection system, which uses a Naïve Bayes classifier to detect anomalous queries in Role-based Access Control (RBAC) environments. We propose to consider the usual machine learning algorithms for classification tasks: K-Nearest Neighbours, Random Forest, Support Vector Machine and Convolutional Neural Network, as alternatives to DBSAFE’s Naïve Bayes classifier. We identify the need for an effective representation of the input to the classifiers. We propose the utilisation of a query embedding mechanism with the classifiers. We comparatively and empirically evaluate the performance of different algorithms and variants with two benchmarks: the comprehensive off-the-shelf OLTP-Bench benchmark and a variant of the CH-benCHmark that we extended with hand-crafted user roles for database access classification. The empirical comparative evaluation shows clear benefits in the utilisation of the machine learning tools.
Image Cryptography using Parameterized Multiband Eigen Wavelet Filterbank

In this paper, we present an eigen filterbank based approach for image cryptography. The proposed method consists of designing a wavelet filterbank using eigenfilter based approach and use the designed filterbank for image encryption with new methodology. We have extended an eigenfilter based approach for the design of multiband two-channel filter bank. This method is based on designing multiband analysis filter, followed by the design of complementary multiband synthesis filter. The designed filterbank has various user defined parameters (key) like, number of bands in the filter spectrum, cutoff frequency of individual frequency band and the level of decomposition. Based on the selection of these parameters we can design a unique filterbank, which can be used for the image encryption. At the decryption end, the original image can be reconstructed only if user selected parameters are known. We present few design examples for the illustration purpose. We also give detail of complexity analysis of the entire cryptography system and also present the time analysis. The proposed approach provides more number of user parameters as compared to state-of-art methods, which can be used as more secure key. It is also observed that the computation time of the proposed approach is comparable.
An Enhanced Filtration Framework for Image Dehazing using Discrete Wavelet Transform and Inverse Filtering

Dehazing image is a vital issue of common concern in digital image processing and CVAs (Computer Vision Areas). Currently, various analysis's have adopted physical-model depends on image Dehazing to remove haze in which DCP (dark Channel Prior) rule has attained best results in handling with single pictures of outdoor scenes for image Dehazing. Smoke and Mist haze is a simple weather trend that eliminates the contrast of the image.  It is a cause of dust particles and vapors in the atmosphere construct filtration to enhance and scattering of sunlight. Restore and Highly clear image taking in the situation of haze were of great value in the Military Deference, steering and remote sensing OIAs (Object Identification Areas). In recent years most of the haze methods are constructed on this model but only use in a dissimilar way. Various algorithms user dissimilar methods to estimate the model performance parameters. In this proposed work, image Dehazing depends on spatial and linear transformation by pretentious that a line formation connection exists in the mitigate direct between the haze and free smog image. The various method of estimating a medium transmission map is detailed and the deteriorating strategies are an introduction to resolve the issue of the brightest field of interference. To enhancement the atmosphere light an additional channel technique is implemented based on 4-tree sub-division. In this technique, average grays and gradient in the area are working as appraisal criteria. Lastly, the haze image is attained using atmosphere scattering structure. In addition, the method of time-complexity is a spatial linear method of the picture size.
THE EFFECT OF USING COLLABORATIVE WRITING METHOD ON STUDENTS’ WRITING RECOUNT TEXT AT GRADE TEN OF SMK YP 1 HKBP PEMATANGSIANTAR

This study was focused on the effect of using collaborative writing on students’ achievement in writing recount text. The objective of this research was to find out the significant effect of collaborative writing on students’ achievement in writing recount text at students grade ten in SMK YP 1 HKBP Pematangsiantar. Two classes was taken as the sample of this research. The class X-MP as the experimental group that taught by using collaborative writing and X-MM as the control class taught by conventional method. This research design is quantitative research were gained by assessing the students’ writing skills through the pretest and posttest. The instrument of collecting data was writing test. After collecting data, it was found the main score of pretest to post test in experimental group was 48.47 to 89,647. The data were analyzed by using t-test formula. The result showed that the t-test is higher than the value of t-table. (5. 68 &gt; 1.69 (α = 0.05)) with the degree of freedom (df) = 32. Based on the data analysis of the study, the result indicates that the alternative hypothesis (Ha) was accepted. It means that there is a significant effect of using Collaborative writing on students’ achievement in writing recount text of students grade ten in SMK YP1 HKBP Pematangsiantar.
A Case Study on the Development of Liberal Arts Lectures for the Training of Creative Convergence Talent

The era of the fourth industrial revolution is an era in which existing boundaries are broken down by the convergence of technology and knowledge, and complex solutions at various levels are required. As a result, convergent creative capabilities are considered a major condition for talent. In order to foster these creative convergence talents, it is necessary to set goals for liberal arts education at universities. Accordingly, the research was aimed at developing subjects to develop creative convergence capabilities by analyzing the current and complex aspects of various fields where artificial intelligence technology is used.
LibGuides: Getting Started @ the Bentley Library -- Online!: Welcome!

Learn all of the resources and services available to you through the Bentley Library online - no visit to our library building required!
Stealthy Tracking of Autonomous Vehicles with Cache Side Channels

Autonomous vehicles are becoming increasingly popular, but their reliance on computer systems to sense and operate in the physical world introduces new security risks. In this paper, we show that the location privacy of an autonomous vehicle may be compromised by software side-channel attacks if localization software shares a hardware platform with an attack program. In particular, we demonstrate that a cache side-channel attack can be used to infer the route or the location of a vehicle that runs the adaptive Monte-Carlo localization (AMCL) algorithm. The main contributions of the paper are as follows. First, we show that adaptive behaviors of perception and control algorithms may introduce new side-channel vulnerabilities that reveal the physical properties of a vehicle or its environment. Second, we introduce statistical learning models that infer the AMCL algorithm's state from cache access patterns and predict the route or the location of a vehicle from the trace of the AMCL state. Third, we implement and demonstrate the attack on a realistic software stack using real-world sensor data recorded on city roads. Our findings suggest that autonomous driving software needs strong timing-channel protection for location privacy.
Agile Adoption in Public Agencies : A case study of the Swedish Tax agency

Citizens’ expectations of products and services produced by the public agencies are rising incredibly due to the fact that savvy startups and other global technology businesses have been succeeded ...
Evans Library: Student Services: Module 3: Academic Support Services

In this module, you will learn about services that will assist you in being a successful student both on campus and virtually.
LibGuides: Civic Engagement: Home

This Civic Engagement LibGuide provides links to resources and information about issues from voting, researching issues and candidates, how elections work, as well as library resources such as books, e-books and streaming videos.
PROFIL BERPIKIR MATEMATIS SISWA TUNAGRAHITA DI SLB N KALIWUNGU KUDUS

&lt;p class="06IsiAbstrak"&gt;PROFILE OF MATHEMATICAL THINKING OF MENTALLY RETARDED STUDENTS IN SLB N KALIWUNGU KUDUS. This research aims to describe the profile of mathematical thinking of mentally retarded students in class II of SLB N Kaliwungu Kudus. This research is a descriptive qualitative. Data collection techniques include observation, interviews, and documentation. The result that the mentally retarded students of the second grade of SLB N Kaliwungu were students who were able to recognize numbers 1-11, were able to count 1-20, willing to learn and be responsive, but the teacher had to be able to guide more exclusively. The role of parents is also influence student development, parents must always pay attention to the child's growth and development, and continue to support and motivate.&lt;/p&gt;