Reviewerly/exHarmony huggingface dataset:
Campus Computing 2018 Survey

The Department ChairVolume 29, Issue 4 p. 18-19 Articles Campus Computing 2018 Survey First published: 09 April 2019 https://doi.org/10.1002/dch.30254Read 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. Volume29, Issue4Spring 2019Pages 18-19 RelatedInformation
The Pressure–Temperature Conditions of Metamorphism

This second edition is fully updated to include new developments in the study of metamorphism as well as enhanced features to facilitate course teaching. It integrates a systematic account of the mineralogical changes accompanying metamorphism of the major rock types with discussion of the conditions and settings in which they formed. The use of textures to understand metamorphic history and links to rock deformation are also explored. Specific chapters are devoted to rates and timescales of metamorphism and to the tectonic settings in which metamorphic belts develop. These provide a strong connection to other parts of the geology curriculum. Key thermodynamic and chemical concepts are introduced through examples which demonstrate their application and relevance. Richly illustrated in colour and featuring end-of-chapter and online exercises, this textbook is a comprehensive introduction to metamorphic rocks and processes for undergraduate students of petrology, and provides a solid basis for advanced study and research.
Intellectual property

This chapter covers intellectual property regulation in the digital world. It begins with analysing the framework instruments: the Copyright Directive, Copyright in the DSM Directive and the Copyright Enforcement Directive. In the second part it analyses specific Directives and Regulations on software, databases, trademarks, orphan works, collective management and geo-blocking.
A Cognitive Study of the Construction of “V+完”

This paper considers that the semantics of “wan” is mainly expressed in the meanings of “disappeared completely” and “finish”. Therefore, the iconogram of “wan” can be expressed by a line segment between two points, and that “wan” in “V+wan” is the semantic core of this construction, and “V” is mostly a “weak sustainable verb”. On the basis of this semantics, its image schema can radiate “V”, “agent argument” and “patient argument”, makes “V+wan” a “bounded” component, which can be classified as “sequential scanning”. This scanning method determines that the agent of “死完” must be plural or group. The vast majority of the sentences of “V+wan” have specific quantitative components, which are diverse, but have no certain tendency.
Time-frequency analysis of spread spectrum based communication and audio watermarking systems

In this study, we present novel applications of time-frequency analysis to spread spectrum based communication and audio watermarking systems. Our objective is to detect and estimate non-stationary signals, such as chirps, that are characterized by directional elements in the time-frequency plane. Towards this goal, we model non-stationary signals using the matching pursuit decomposition algorithm, generate a positive time-frequency representation of the signal model using the Wigner-Ville distribution and estimate the energy varying directional elements using a line detection algorithm based on the Hough-Radon transform. Spread spectrum communication systems frequently encounter nonstationary signals with energy varying directional elements as hostile jamming signals. In this thesis, we develop a new interference excision algorithm for spread spectrum communication systems based on the directional element estimation algorithm. At the receiver, we first excise the interference from the spread spectrum signal before despreading and data symbol detection. The new algorithm can excise single and multicomponent interferences such that the spread spectrum system can reliably detect the transmitted message symbols even, when the interference power exceeds the jamming margin of the system. We verify the effectiveness of the interference excision algorithm using simulation studies. Watermarking is the process of embedding imperceptible data into the host signal for marking the copyright ownership. The embedded data should be extractable to prove ownership. Watermarking systems face problems similar to those in spread spectrum communication systems, namely, intentional attacks by the adversaries. In watermarking, the adversaries try to obliterate the embedded watermark in order to prevent its detection by authorized parties. In this thesis, we develop a spread spectrum audio watermarking scheme, where we embed perceptually shaped linear chirps as watermark messages. The directional elements of the chirp signals represent different watermark messages. We extract the watermark by first detecting the transmitted message symbols in the spread spectrum signal. We then use the directional element estimation algorithm based on the time-frequency analysis as a post-processing tool to minimize the effects of hostile attacks on the extractability of the embedded watermark. We demonstrate the robustness of the algorithm by extracting the watermark correctly after common signal processing operations representing hostile attacks by adversaries.
Introduction to the Minitrack on Games and Gaming

Now in its fifth year, the Games & Gaming minitrack offers a space in the Digital and Social Media track at HICSS to examine social interactions that are mediated via digital games.Not just spaces of leisure, games are an important part of the human experience and the research presented in this minitrack demonstrates how they often mirror larger social issues.Games and play deeply reflect who we are as human beings, and the research here continues to explore many issues of interest to a wide scholarly audience.
Body Tracking

When it comes to people, as well as detecting and tracking faces as we saw in Chapter 11, “Face Tracking and Expression Detection,” we can also use ARKit to detect bodies in a scene including the orientation of different parts of the body in real time. This is called body tracking, and it gives us the ability to not track the position of major body joints to a high degree of accuracy.
Mobile Robot Simulation and Navigation in ROS and Gazebo

mobile robots are entering our daily lives as wellas in the industry. Their task is usually associated with carryingout transportation. This leads to the need to performautonomous movement of mobile robots. On the other hand,modern practice is that the planning of most processes is donethrough simulations. Thus, various future production problemscan be anticipated and remedied or improved. The articledescribes the creation of a mobile robot model in the Gazebosimulation environment. Specific settings and features forrunning a mobile robot in autonomous navigation mode underthe robot operating system are presented. The steps for creatinga map, localization and navigation are presented. Experimentshave been conducted to optimize and tune the parameters ofboth the robot model itself and the simulation controlparameters.
An Efficient Resource Scheduling Framework for Infrastructure Performance Enhancement in Cloud Environment

On-demand cloud services must be provided to customers at any time by ways of cloud service providers due to cloud demand. It is obligatory for cloud service providers to lessen large volumes of data, thereby it can reduce costs for maintaining large storage systems.Infrastructure level performance is an important problem which directly affects the overall working of cloud computing environment. The objective of our framework is enhancing the performance of cloud infrastructure. Proposed approach demonstrates high effective in cloud performance enhancement, as it displays enhancement in both the service providers as well as for cloud users.
Crypto vs. Fiat: An Institutional Approach

How can cryptocurrency gain legitimacy in the eyes of users? We propose that cryptocurrency firms can acquire market legitimacy that will ultimately reduce institutional uncertainty through rhetorical strategies that circumvent the existing institutional framework (i.e., evasive entrepreneurial action). Drawing on recent theory of institutional uncertainty, we propose a process model in which legitimacy for cryptocurrencies acquired at the market level via evasive action will reduce uncertainty in the formal institutional environment, which will beget additional legitimacy, and thus higher performance to individual crypto firms, on average. This study (1) extends our understanding of the evolution of an innovation and its diffusion under institutional uncertainty, (2) contributes to the development of institutional theory, and (3) provides a theoretical rationale for how cryptocurrency can become a medium of exchange.
Applying REECHD to non-uniformly distributed heterogeneous devices

Heterogeneous Wireless Sensor Networks (WSNs) include nodes with different initial energy, different transmission rate and hardware. Clustering is an energy-efficient approach to collect data in a WSN. Clustering partitions the WSN nodes into clusters. Each cluster has a cluster head (CH) that gathers data from its member nodes and forwards them to a base station. Rotating Energy Efficient Clustering for Heterogeneous Devices (REECHD) is our novel clustering algorithm which introduces the concept of intra-traffic limit rate (ITLR). This defines a limit on the intra-traffic communication that all WSN clusters must comply with. In this paper we apply REECHD to a WSN where devices are not uniformly distributed. We show how the use of ITLR improves energy efficiency by adaptively generating a different amount of clusters in different WSN subareas. Our results show that REECHD enhances on average the network lifespan when compared to the state-of-art protocols.
Expert modeling in OWL

Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more interconnected and global, enterprise data is no long a monolith; it is just a part of a vast web of data. Managing data on a world-wide scale is a key capability for any business today.
Novice programmers' faults &amp; failures in GOAL programs: Empirical observations and lessons

Copyright © 2014, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved. What are the types of mistakes ("faults") that novice GOAL programmers make, and how do they manifest as failures? This question is important since it has significant implications to the ongoing design of GOAL, and other agent-oriented programming languages; to the ongoing development of tools that support GOAL programmers; and to how we teach agent-oriented programming. In this paper we develop taxonomies for faults and for failures. We then classify the faults and failures that occur in a collection of programs by novice GOAL programmers. This provides empirical data which we use to make recommendations regarding the GOAL language, its support tools, and how it is taught.
Future Generation Education Technological Model

With the development of new technologies and the necessity to adapt to the new demands of the job market, the need for further education increases yearly. The continuing learning and development of skills throughout their lifespan has become a cornerstone of the modern occurrence of lifelong learning. Extra motivation is needed, as well as easily comprehensible and engaging technological solutions, which encourage to collaborate and to learn from one another. New smart learning individually oriented education technological model has been developed based on human individual perception for fast growing information and big data society.
"The Diagnostic Evaluation of Switchboard-corpus Automatic Speech Recognition Systems"

To see whether the related mistake patterns can be linked to a particular set of variables, a Eight Control equipment recognizing (and six forcedalignment) algorithms were evaluated for clinical diagnosis. Each recognizing service's result was converted to a standardized way and evaluated to a comparative record made from pronunciations labelled data (which included 54 minutes of information from several hundred speakers). A job evaluation was used to relate a combination of acoustic, morphological, etc. speaker attributes to acknowledgment occurrences throughout this reference data. The decision trees show that correct categorization of phonetic segments and characteristics is one of the most constant variables linked with better recognition performance. These findings indicate that enhancing the pronouncing modelling used in verbal pairing, including the acoustic modeling techniques utilized for morphological classification, might improve future-generation recognition systems.
An Adaptive Correlation Based Video Data Mining using Machine Learning

With the immense growth in the multimedia contents for education and other purposes, the availability of the video contents has also increased Nevertheless, the retrieval of the content is always a challenge. The identification of two video contents based on internal content similarity highly depends on extraction of key frames and that makes the process highly time complex. In the recent time, many of research attempts have tried to approach this problem with the intention to reduce the time complexity using various methods such as video to text conversion and further analysing both extracted text similarity analysis. Regardless to mention, this strategy is again language dependent and criticised for various reasons like local language dependencies and language paraphrase dependencies. Henceforth, this work approaches the problem with a different dimension with reduction possibilities of the video key frames using adaptive similarity. The proposed method analyses the key frames extracted from the library content and from the search video data based on various parameters and reduces the key frames using adaptive similarity. Also, this work uses machine learning and parallel programming algorithms to reduce the time complexity to a greater extend. The final outcome of this work is a reduced time complex algorithm for video data-based search to video content retrieval. The work demonstrates a nearly 50% reduction in the key frame without losing information with nearly 70% reduction in time complexity and 100% accuracy on search results.
Open Is as Open Does: Pulling Success Out of the Open Hat

SUMMARY. One of the most often heard words in the library environment these days is “open.” This talk provides a review of some of the key open concepts that are changing the information landscape as we speak, at a rate faster than many of us would like. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;https://www.HaworthPress.com&gt;]
Research on the Construction of University Student Knowledge Management Service System Based on Weixin JSAPI

With the expansion of enrollment scale, college management is facing more and more challenges. The contradiction between the original management model and the number of management and individual needs has become increasingly prominent. This article is based on the most popular mobile application APP Weixin for design and development research. Call the JS-SDK interface to build a knowledge management system based on Weixin official account, and analyze in detail the three characteristics of the knowledge management system and its design process. Draws the process of data fusion and internalization at the back-end, through spiraling, generating personalized information and providing personalized services.
Design And Fabrication Of Flood Barrier For Domestic Usage At The Doorframe

There are many types of flood barrier, but commonly used are sandbags as it is the easiest to get as well fixed type of flood barrier. The problem with sandbags and fixed type flood barrier is sandbagged will get messy, and a hassle after the flood water has been receding while fixed type flood barrier only can be used on one side of doorframe. Therefore, this project tries to create a new design that will solve both problems by using Solidworks software. Result of this project showed what the effect on the structure design when the maximum force was applied. Some of parts in the invented flood barrier are working as intended.
Pembelajaran Literasi Membaca Siswa Sekolah Dasar Kelas I

This study aims to understand deeply the learning of literacy reading in elementary school class I. The research problem is based on the low student interest in learning, low literacy reading skills, and the teacher is too focused on the 2013 curriculum without facilitating student needs. The research method uses a qualitative approach to the design of phenomenology with the stages of essence deepening, variations in imagination, and reduction of phenomenology. The time and place of the study were conducted at Cijambu Elementary School in Elementary School I class, located at Jln Cigombong Station, Bogor Regency. The study was conducted for six months. The results were obtained that reading literacy learning uses Curriculum 2013 with the aim of reading comprehension. Learning media use word cards and learning strategies use the phonic approach for those who cannot read and the direct approach for those who have mastered phonemic awareness. Evaluation of learning is carried out formally according to the curriculum without an innovation development in the form of literacy assessment. Recommendations namely, this research should be developed in other aspects of language to be more comprehensive.&#x0D; Keywords: Learning, Reading Literacy, Grade I Students
Review of COSMO-BEP-Tree v1.0

This paper describes and evaluates COSMO-BEP-Tree v1.0: a coupled urban climate model with explicit representation of street trees.The authors assess the model during a heatwave event with observations from flux towers, surface stations and satellites.The authors have presented a very strong study which is thorough and convincing.The issue of integrating the effects of street trees in urban meteorological models is important because increasing tree cover is "go-to" response of urban planners who wish to reduce urban heat impacts.As the manuscript shows, interacting processes are complex and outcomes not always obvious.The evaluation is clear and thorough, and the technical achievements will be beneficial for future urban studies.
Adaptive Technique for Salt and Pepper Noise Removal through Functional Link Artificial Neural Network

In this paper, an adaptive method for removing salt and pepper noise from images is proposed. A second order difference operator is used to locate the corrupted pixels in images by comparing with a threshold, which is selected adaptively using the image properties. A functional link artificial neural network (FLANN) based method is proposed to set a threshold for each corrupted image for identification of noisy pixels using recursive zero attracting least mean square (RZALMS) as the updating algorithm. Median filter is used to eliminate noise from the detected pixel locations.
Using Support Vector Machine Detection of Breast Cancer in Early stage

The Breast Cancer is disease which tremendously increased in women’s nowadays. Mammography is technique of low-powered X-ray diagnosis approach for detection and diagnosis of cancer diseases at early stage. The proposed system shows the solution of two problems. First shows to detect tumors as suspicious regions with a weak contrast to their background and second shows way to extract features which categorize tumors. Hence this classification can be done with SVM, a great method of statistical learning has made significant achievement in various field. Discovered in the early 90’s, which led to an interest in machine learning? Here the different types of tumor like Benign, Malignant, or Normal image are classified using the SVM classifier. This techniques shows how easily we can detect region of tumor is present in mammogram images with more than 80% of accuracy rates for linear classification using SVM. The 10-fold cross validation to get an accurate outcome is been used by proposed system. The Wisconsin breast cancer diagnosis data set is referred from UCI machine learning repository. The considering accuracy, sensitivity, specificity, false discovery rate, false omission rate and Matthews’s correlation coefficient is appraised in the proposed system. This Provides good result for both training and testing phase. The techniques also shows accuracy of 98.57% and 97.14% by use of Support Vector Machine and K-Nearest Neighbors
Service Discovery

This chapter teaches the reader how to make Pods available on the public Internet as well as within the Kubernetes cluster. In addition, this chapter explains how the Service controller interacts with the Deployment controller to facilitate zero-downtime deployments as well as graceful startup and shutdown of applications.
An out-of-band mobile authenticating mechanism for controlling access to data outsourced in the mobile cloud environment

'Mobile Cloud Computing' (MCC), a cloud environment, formed by mobile users at the client-side and cloud servers at the back-end enables users to store and pervasively access a huge amount of data via different mobile devices in a distributive manner. This increases the risk of data abuse, since data is outsourced on the distrusted cloud servers. The drawbacks of the current frameworks, such as overloaded computations in key distribution, reduced flexibility, and scalability, are unable to achieve fine-graininess and confidentiality. Thus, we propose an 'access control mechanism' which is lightweight with minimal computational overhead and provides fine-grained access control for sharing data using out-of-band (OOB) mobile authentication. Here we perform client-side encryption and decryption using simple hash functions and concatenation operator and achieve dynamic scalability. The encryption algorithms, sharing mechanism, and the use of OOB mobile authentication are extensively analysed to prove its efficiency and applicability.