Reviewerly/exHarmony huggingface dataset:
Radar Tracking

This chapter provides an introductory examination of radar tracking while highlighting important concepts and explaining mature techniques. It is intended to provide the reader a foundation on which additional learning can be applied. Radar tracking is the estimation and maintenance of target parameters that can be measured or derived by the radar, such as range and angle. The accuracy of the measurements themselves can be improved by combining received signals as to drive out systemic errors. Monopulse is one of these well known techniques. The two main functions to be performed in radar tracking are data association and filtering. The first is an attempt to assign incoming detections to established tracks are create new ones. Data association techniques range from the simple, such as Nearest Neighbor, to extremely complicated, such as Multiple Hypothesis Tracking. Track filtering is an attempt to improve the estimate by removing measurement noise. The workhorse of track filtering is the Kalman Filter, which has its roots in least squares estimation. The Kalman filter is extremely versatile and can be adapted to nonlinear target dynamics or measurements, and can be included in multiple filter implementations.
Phishing Website Classification using Least Square Twin Support Vector Machine

Phishing is one among the luring procedures used by phishing attackers in the means to abuse the personal details of clients. Phishing is earnest cyber security issue that includes facsimileing legitimate website to apostatize online users so as to purloin their personal information. Phishing can be viewed as special type of classification problem where the classifier is built from substantial number of website's features. It is required to identify the best features for improving classifiers accuracy. This study, highlights on the important features of websites that are used to classify the phishing website and form the legitimate ones by presenting a scheme Decision Tree Least Square Twin Support Vector Machine (DT-LST-SVM) for the classification of phishing website. UCI public domain benchmark website phishing dataset was used to conduct the experiment on the proposed classifier with different kernel function and calculate the classification accuracy of the classifiers. Computational results show that DT-LST-SVM scheme yield the better classification accuracy with phishing websites classification dataset.
Hubungan Peletakan Kamera (Angle) dalam Iklan Berbentuk Video

In an advertisement sometimes there is a meaning that is presented not straightforward. Every TVC that uses real human talent cannot be separated from the camera's perspective. THE IMPORTANCE OF CAMERA VIEWS ON VIDEO MEDIA ADVERTISING examines the relationship of camera placement (angle) in influencing the message conveyed by a TVC and how cinematography is used as visual rhetoric. The study was conducted qualitatively with a semiotic film analysis approach. Data THE IMPORTANCE OF CAMERA VIEWS ON VIDEO MEDIA ADS is grouped into 4 structures, namely Visual Structure, Verbal Structure (Language, Character, Settings, Time), Narrative Structure and Audio Structure. Diachronic analysis using signifier (sign) and signified (sign) views. Some types of angles are Extreme Long Shot (ELS), Very Long Shot (VLS), Long Shot (LS), Medium Long Shot (MLS), Medium Shot (MS), Medium Close Up (MCU), Close Up (CU), Big Close Up (BCU), Low Angle Shot, Eye Level Shot. The selection of the selected images to be analyzed is carried out on the following basis: (1) Selecting an image according to the type of camera angle. (2) Sort images according to the type of camera angle. (3) Analyze each film and the impression built from each camera's perspective. (4) Comparing the impressions of the two analyzes. (5) Explain the reasons for the different impressions that arise, when the viewpoint of the camera is the same but the impression obtained is different. The camera angle is important in creating certain impressions, for example the impression of horror.
Case Studies of Contractual (Legal) Automation Using Smart Contracts

Smart contracts are a key component of today’s blockchains. They are critical in controlling decentralized autonomous organizations (DAO). However, smart contracts are not yet legally binding nor enforceable; this makes it difficult for businesses to adopt the DAO paradigm. Therefore, this study reviews existing Smart Contract Languages (SCL) and identifies properties that are critical to any future SCL for drafting legally binding contracts. This is achieved by conducting a Systematic Literature Review (SLR) of white- and grey literature published between 2015 and 2019. Using the SLR methodology, 45 Selected and 28 Supporting Studies detailing 45 state-of-the-art SCLs are selected. Finally, 10 SCL properties that enable legally compliant DAOs are discovered, and specifications for developing SCLs are explored.
Link Prediction in Bibliographic Networks

A bibliographic network consists of entities related to scientific publications (e.g., authors, papers and venues) and their relations. Predicting links on a bibliographic network is important for understanding and facilitating the scientific publication process. Bibliographic networks can be represented and analysed as Heterogeneous Information Networks (HINs). In this chapter, we comparatively evaluate three different models for link prediction in HINs, on three instances of a bibliographic network. The selected models represent two main paradigms for link prediction in HINs: path counting models and embedding models. The results indicate that, although being conceptually simpler, path counting models are, overall, slightly more accurate for predicting links in the bibliographic networks of our evaluation.
Offense, Incitement, True Threats, and Hate Speech

Courts use categories of communication to identify what subjects are protected under the First Amendment.341 The Supreme Court’s modern doctrine, announced in starkly absolute terms in a 2015 decision, reviews content-based restrictions under the rigorous strict scrutiny standard.342 This categorical approach is a formalistic and inadequate substitute for comprehensive assessments into the interests of speakers; public policies; means for achieving legal ends; and available alternatives for expression.
Finishing Strategies

Abstract In addition to several plans and measurement charts detailing ways to finish the reeds, there is a major study of the second “cycle of reeds” that encourages the reader to understand the importance of allowing the reed to stabilize without trimming too much at one time.
Supplemental Material: Geology of Central Park, Manhattan, New York City, USA: New geochemical insights

Map of field stops as a .kmz file&lt;br&gt;
Key Aggregate Cryptosystem in Data Sharing in Cloud Performance

Sharing data using cloud storage has become a prominent part of a lives therefore, it is necessary to be able to share data to the people we choose and which data we choose. In this article, Key Aggregate Cryptosystem scheme, a public key encryption scheme which produces fixed-size cipher texts [1], is studied comprehensively along with its application in sharing data by users across cloud platform. KAC provides efficient and flexible delegation of keys for sharing selective data using single aggregated key without compromising on other data stored in cloud. The scheme is implemented using python file integrated in the backend of a website, which is in Django and the cloud storage used is Amazon S3. The data is stored in buckets and can be accessed using the website. Users can also upload and download their data from the website, or even share after uploading on the cloud.
Intake

OpflowVolume 46, Issue 6 p. 2-2 Departments Intake First published: 02 June 2020 https://doi.org/10.1002/opfl.1377Read 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. Volume46, Issue6June 2020Pages 2-2 RelatedInformation
Voice Based Retrieval using Convolution Neural Network in Deep Learning

In this paper, we propose a Content Based Voice Retrieval(CBVR) is used to search a specific audio files from a large data base. Using Deep learning features are learned automatically in the training phase. Convolution Neural Network is used in this research for CBVR. On this paper, we recommend a novel technique to key word search(KWS) in low-resource languages, which presents an replacement method for retrieving the phrases of curiosity, in particular for the out of vocabulary (OOV) ones. Our procedure contains the approaches of question-by using-illustration retrieval tasks into KWS and conducts the hunt by the use of the subsequence dynamic time warping (sDTW) algorithm. For this, text queries are modeled as sequences of function vectors and used as templates within the search. A Convolution neural network-headquartered model is informed to gain knowledge of a frame-degree distance metric to be used in sDTW and the right question model frame representations for this realized distance. This new procedure can be used as a substitute to traditional LVCSR-situated KWS programs, or in combination with them, to attain the intention of filling the gap between OOV and in-vocabulary (IV) retrieval performances.
Basic Definitions and Notation

This chapter contains definitions of the notions of decision table with many-valued decisions, decision tree schema, deterministic, nondeterministic, and strongly nondeterministic decision trees for decision tables, and complexity function.
French language abstracts

Free accessAbstractFirst published online January 20, 2020French language abstractsVolume 26, Issue 1https://doi.org/10.1177/1356389019898550
Document Classification

Keywords can be used as attributes for mining rules or as a basis for measuring the similarity of new (unclassified) documents with existing (classified) ones. The focus is on the problem of extracting keywords from document collection in order to use them as attributes for document classification. Document classification is a hot topic in machine learning. Typical approaches extract “features,” generally words, from document, and use the feature vectors as input to a machine learning scheme that learns how to classify documents. This “bag of keywords” model neglects keyword order and contextual effects.
Self-Adaptive Stable Mutation Based on Discrete Spectral Measure for Evolutionary Algorithms

In this paper, the concept of a multidimensional discrete spectral measure is introduced in the context of its application to the real-valued evolutionary algorithms. The notion of a discrete spectral measure makes it possible to uniquely define a class of multivariate heavy-tailed distributions, that have recently received substantial attention of the evolutionary optimization community. In particular, an adaptation procedure known from the distribution estimation algorithms (EDAs) is considered and the resulting estimated distribution is compared with the optimally selected referential distribution.
A Study on the Effect of Trust on the Delivery App. Service to Emotional & Rational Factor & User's Word of Mouth

The resonance parameter value between the saturated carbon and unsaturated carbon atom in cyclopentadiene has been evaluated. And then cyclopentadiene has been investigated on the correlations between it's electronic structures and reactivities by means of the extended Huckel method proposed by R. Hoffmann.
Libraries and the Use of Price Studies

Given the shifting paradigm to access from ownership and the competing demands on the materials budgets from new services within academic libraries, price studies which use a «unit cost» to compare journal titles within a given discipline are becoming a more important component of the review process as libraries determine which serial titles to add and which to delete. Several studies are available from societies, and some librarians have designed their own. Longitudinal studies, which show trends in «unit cost» over time are especially helpful, and several of these are discussed
Teaching Localization in Probabilistic Robotics

&#x0D; &#x0D; &#x0D; In the field of probabilistic robotics, a central problem is to determine a robot’s state given knowledge of a time series of control commands and sensor readings. The effects of control commands and the behavior of sensor devices are both modeled probabilistically. A variety of methods are available for deriving the robot’s belief state, which is a probabilistic representation of the robot’s true state (which cannot be directly known). This paper presents a series of five weekly assignments to teach this material at the advanced undergraduate/graduate level. The theoretical aspect of the work is reinforced by practical implementation exercises using ROS (Robot Operating System), and the Bilibot, an educational robot platform.&#x0D; &#x0D; &#x0D;
Of Bytes And Books: Keeping It All Together And Still Calling It A Library

When the reference desk is becoming obsolete and the library's collection is stored in bytes, maintaining the identity of a library can be challenging.If the library space is not reclaimed by the academic department for lab space or offices, can the engineering library survive in its traditional configuration with no reference desk and volumes disappearing off its shelves?In 2001 Princeton University opened the Friend Center for Engineering Education, a brand new building housing the Engineering Library, several computer labs and state of the art classrooms, but less than 10 years later, the library is contemplating a physical renovation to address current trends in users' needs and to accommodate future collection requirements for new and emerging engineering research areas.Libraries have redefined their roles over many years of technological progress.In the case described, change proves once again that it can offer new prospects and fresh opportunities for asserting the role of the library in the academic environment.
Proof of Transit

Several technologies such as Traffic Engineering (TE), ServiceFunction Chaining (SFC), and policy based routing are used to steertraffic through a specific, user-defined path. This document definesmechanisms to securely prove that traffic transited said defined path.These mechanisms allow to securely verify whether, within a givenpath, all packets traversed all the nodes that they are supposed tovisit.
Has translation gone online and collaborative?: An experience from Minna no Hon'yaku

We have been running Minna no Hon'yaku (MNH: Translation of/by/for all), an open online translation hosting and translation-aid service, since April 2009, with use by NGOs specifically in mind. We subsequently started two sibling services, i.e. Ryugakusei Net @ MNH, a commercial "crowdtranslation" site, in March 2010, and Kotoba no Volunteer @ MNH, a project for collecting and making available expressions useful in disaster and post-disaster situations in different languages, in May 2011. This paper aims first to introduce basic features of these three systems and their state of usage, and second, to clarify the nature of activities being carried out using these systems and the relationships between the nature of activities and various factors that contribute to shaping the activities. While what is discussed is based mainly on the insights we have obtained from our experience designing, developing and running these systems, we attempt to situate the observation within a general framework discussion of online and/or collaborative translation.
SAML Profile for the Metadata Query Protocol

This document profiles the Metadata Query Protocol for use with SAMLmetadata. This document is a product of the Research and EducationFederations (REFEDS) Working Group process. Editorial Note (To beremoved by RFC Editor before publication) Discussion of this drafttakes place on the MDX mailing list (mdx@lists.iay.org.uk), which isaccessed from [MDX.list]. XML versions, latest edits and the issueslist for this document are available from [md-query]. The changes inthis draft are summarized in Appendix A.13.
Promoting Autonomous Learning in Reading Class

To have good acquisition and awareness in reading, the learners need a long and continuous process, and therefore, they are required to have autonomy in learning reading. This study aims to promote learner autonomy in reading class by combining learner-centered reading teaching and extensive reading teaching. Learner-centered reading teaching was carried out through group discussion, presentation, and language awareness activities. Meanwhile, extensive reading teaching was done to review the learners‘ materials in presentation and reinforce their acquisition. Those two different approaches were applied due to differences on learner's characteristics and needs. The result showed some success in the practice of autonomy, indicated by changes on learners' attitude. However, many learners showed that they focused more on obtaining score than on developing their language acquisition. By implementing the approach, the teacher can assist learners to be aware of their ability to learn independently and equip them with the skill needed for long-life learning.
Credit Card Fraud Detection

This research paper proposes a solution that should be deployed to identify whether the transaction is fraud or not. Although we know that most of the transaction takes place online meaning that this transaction can be theft on the go and will create problem to user therefore this paper focus on some particular machine learning algorithm for example Random forest Algorithm, Decision Tree Algorithm, Logistic Regression, Support Vector Machine, K Nearest Neighbour, XGBoost .Which aims at solving such kind of real-world problem.
Expanding a National Network for Automated Analysis of Constructed Response Assessments to Reveal Student Thinking in STEM

His research interests are in theories of cognition, how these theories inform the design of instruction, how we might best design instructional technology within those frameworks
A Belief-Desire-Intention Model for Narrative Generation

Narrative AI needs to model more than just action. In this paper, we investigate the Belief-Desire-Intention (BDI) agent architecture to allow plots to be modelled in terms of character motivation. This allows authors to focus on elements of the character model which are highly relevant to plot. We describe an extended implementation of the ConGolog agent programming language which includes BDI syntax and semantics. Using this language, we provide an example of how plot could be advantageously modelled in terms of character motivation.
An Alternative Model for Computer Networks Education in Computing Disciplines

Computer networks is an important area in the body of knowledge of multiple degree programs, such as Electrical Engineering, Computer Engineering, Computer Science, Information Engineering Technology, Software Engineering, and other programs.As one of the fastest growing areas, computer networks is experiencing a dramatic need of professionals with solid foundations and practical hands-on experience.In this paper, we present a hands-on intensive model for an Information Engineering Technology program that includes 4 computer networks courses at different levels and starting during the freshman year.The model includes an innovative mix of industrial and academic components that provide students with skills needed by both industry and academia.The proposed model also targets retention, breaking up longterm goals (e.g., obtaining a bachelor degree) into milestones, where a milestone can be the completion of the 4 courses in the area of computer networks.By doing so, the model provides a safety net to students, who are able to acquire skills demanded by the job-market early during their studies.Moreover, the program helps in avoiding high dropout rates during early semesters, where institutions have historically experienced higher dropout rates because of lack in students incentive and limited hands-on experience.The model is articulated with the 2008 ACM and IEEE Computer Society Guidelines for Engineering Information Technology, and enables students to achieve multiple ABET program outcomes.Results of the implementation of the computer networks model in a minority serving institution are included.
Administration And Results Of Extra Credit Projects

Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Session 1275 Administration and Results of Extra Credit Projects Kenneth J. Reid, Stephen Gwinn Purdue University, Indianapolis (IUPUI) Abstract: This paper discusses an extra credit project from the educator's perspective for students in the Computer Technology Department at Purdue University (IUPUI). The paper discusses both the administration of the project and the results obtained by the students. Students in two courses in the Computer Technology program were offered the chance to do a project for extra credit. The entire extra credit process was administered outside of the scheduled time of the course: students were required to obtain the project requirements from the instructor during office hours, identify a customer for their project, submit a proposal to the customer, obtain an acceptance letter, and deliver results that were complex enough to be useful to the customer, while modest enough to be completed in a four to six week period. The customer could not be the course instructor, but could be the department, a campus group or organization, or another instructor. This project requirements were based on real world examples of project management, where a project team would submit a project proposal to a customer, identify the customer needs and work with the customer to deliver satisfactory results within any cost or time constraints. The projects proposed by the students primarily involved the design and implementation of Web pages for various customers. While Web page design is a required skill for students in Computer Technology, this project offered the opportunity for students to implement a design for an outside customer as part of their educational experience; a skill that will most likely be necessary in future employment. This project offered students the opportunity to perform as a member of a real world project team, with the advantage of being in an academic environment, where assistance can be found if needed. Introduction: Students in two courses in the Computer Technology program were offered the chance to propose and design a project for extra credit towards their final grade in these courses. Both of the courses, Assembly Language for Microprocessors and Operating Systems I, were taught by the same instructor. The students were given the project requirements approximately mid- semester. They were told that any extra credit earned would be in addition to their regular assignments, quizzes, labs, and exams, and that those students who chose not to participate