Reviewerly/exHarmony huggingface dataset:
A Search Algorithm for Latent Variable Models with Unbounded Domains

This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior distributions over latent variables by stochastic processes such as the Dirichlet process, and rely on Monte Carlo sampling to estimate the model from data. We propose an alternative approach that searches over the domain size of latent variables, and allows arbitrary priors over the their domain sizes. We prove error bounds for expected probabilities, where the error bounds diminish with increasing search scope. The search algorithm can be truncated at any time. We empirically demonstrate the approach for topic modelling of text documents.
High Dynamic Range File Formats

In memory, HDR images are treated with the highest possible precision. When it comes to saving an image or video data, it is important to find formats that reduce the file size to a minimum without losing the dynamic range or fine details. This tradeoff is similar to lossy versus lossless compression schemes: how to compress as much as possible without losing too many details.
Android Based Mobile Order Management System

Currently, some businesses' employees engaging in outside sales use specialized tablet computers, and particularly use them to place orders.Unfortunately, this approach has a number of shortcomings; the tablet computers can be very costly to upgrade and maintain and usually have a short battery life.Wireless is an emerging communication technology frontier that offers the possibility of instant mobile communications.Given advances in mobile computing technology, the role of hand-held devices seems certain to grow exponentially as more computing power and communications capability is included.It is in the best interest of business and information managers to take advantage of mobile technology to transform overall business strategies, operational efficiency, and information availability.It is essential to streamline business processes with mobile devices to maintain competitiveness and increase responsiveness in today's market.In this paper we argue that there is an enormous potential benefit for these businesses from use of mobile devices like smart phones to assist in recording sales orders and synchronizing with existing software, anywhere at any time.The Smartphone device chosen for this purpose is based on the open source Android platform.The key factors in choosing Android are its capacitive touchscreen, embedded database file system, total cost, and much more.This paper describes an application that is designed based on a client-server model, with central database serving as a repository of data relating to customers and product information.Another important feature of this application is its network connectivity needed to pull real-time data from a backend server.In addition, it is possible to use the application in an off-line mode.The mobile application developed presents a mobile application solution for the main entry point allowing the sales force to capture customer orders in the field on a handheld device that can communicate with the laptop and then submit the orders to the business system via the Internet.
MSRP over Data Channels

This document specifies how the Message Session Relay Protocol (MSRP)can be instantiated as a data channel sub-protocol, using the SDPoffer/answer exchange-based generic data channel negotiationframework. Two network configurations are documented: a WebRTC end-to-end configuration (connecting two MSRP over data channelendpoints), and a gateway configuration (connecting an MSRP over datachannel endpoint with an MSRP over TCP or TLS endpoint).
Approaches and Methods of Security Engineering

The general systems of today are composed of a number of components such as servers and clients, protocols, services, and so on. Systems connected to network have become more complex and wide, but the researches for the systems are focused on the ‘performance’ or ‘efficiency’. While most of the attention in system security has been focused on encryption technology and protocols for securing the data transaction, it is critical to note that a weakness (or security hole) in any one of the components may comprise whole system. Security engineering is needed for reducing security holes may be included in the software. There are very many approaches or methods in software development or software engineering. Therefore, more security-related researches are needed to reduce security weakness may be included in the software and complement security-related considerations of general software engineering.
A JSON Encoding for HTTP Header Field Values

This document establishes a convention for use of JSON-encoded fieldvalues in HTTP header fields.
The Influence of Stable Methodologies on Cyberinformatics

Lately, much research has been dedicated to the union of virtual machines; by and by, few have examined the investigation of intrudes. Given the present status of homogeneous calculations,steganographers compellingly want the comprehension of DHTs, which typifies the organized standards of multifaceted nature hypothesis. In this work we invalidate that while operators and the lookaside cradle are generally contrary, support learning and the Ethernet can synchronize to understand this point
Steganography

The goal of this chapter is to describe the main algorithms and methods used in steganography and explain how they can be implemented in MATLAB.
Vowels and Prosody Contribution in Neural Network Based Voice Conversion Algorithm with Noisy Training Data

This research presents a neural network based voice conversion model. While it is a known fact that voiced sounds and prosody are the most important component of the voice conversion framework, what is not known is their objective contributions particularly in a noisy and uncontrolled environment. This model uses a 3 layer feedforward neural network to map the Linear prediction analysis coefficients of a source speaker to the acoustic vector space of the target speaker with a view to objectively determine the contributions of the voiced, unvoiced and supra-segmental components of sounds to the voice conversion model. Results showed that vowels “a”, “i”, “o” have the most significant contribution in the conversion success. The voiceless sounds were also found to be most affected by the noisy training data. An average noise level of 40 dB above the noise floor were found to degrade the voice conversion success by 55.14 percent relative to the voiced sounds. The result also show that for cross-gender voice conversion, prosody conversion is more significant in scenarios where a female is the target speaker.
Routing

In the last chapter, I talked about AJAX and how it changed web development forever. The single-page application (SPA) is another very important technique that drastically changed the way users interact with web applications.
Deep Learning and Artificial Intelligence: Project Collaboration Across Classes

Working in collaborative environments is an essential skill for computing professionals.In our program, students have significant team experience from previous classes; almost all of our classes in Cal Poly's Computer Science, Software Engineering and Computer Engineering programs have lab sections, and students start with team-based work early.However, they mostly work within small teams of about five members that are stable throughout a term.To stretch the students' collaborative skills and enhance their experience with more fluid team configurations, we experimented with creating teams across two related senior-level classes within Computer Science, but with different perspectives and approaches.For one particular project, shark spotting in drone video footage, the teams also collaborated with a group of Marine Biologists from the Shark Lab at CSU Long Beach, who provided the video material and acted as a customer for three teams across the two classes.This exposed our students to collaborators among different fields, with their own terminology, goals, work methods and practical approaches.Our paper reports on the initial experiment during the Fall 2019 term, involving two sections of an Artificial Intelligence class and one section of a Deep Learning class.We are planning to continue this collaboration in the future.
Broad learning system based on Elastic Net feature sparsity and dense

Broad learning has attracted wide attention since it was proposed, because of its characteristics of short training time and online updating. However, there are many problems in the original broad learning, such as low prediction accuracy, large computational consumption of resources, and many redundant data in the calculation process. Therefore, this paper proposes a broad improvement method based on dense connection of feature layers and using Elastic Net to sparse feature layers. The different Windows of the feature layer of the original broad learning system were put into the form of dense connection, and then Elastic Net was introduced to sparse the feature nodes, and then the sparse feature nodes were combined with the input data as the input of the enhancement layer nodes, making the model more compact. The proposed method was applied to a public dataset to verily the results. The experimental results show that the proposed method has short training time and higher accuracy than other methods.
Fourier Transforms

Starts with concept of a frequency function as an ordered list of Fourier series coefficients. Summary of derivation of Fourier transform from complex Fourier series and development of frequency-function ideas. Introduction of the Dirac delta function as the Fourier transform of a sinusoid to set context for characteristics of the discrete Fourier transform (DFT) spectrum. Intuitive derivation of DFT from Fourier series of piecewise-approximated sampled continuous data. Symmetry and linearity of Fourier transform and DFT. Frequency resolution of DFT, sampling theorem and Nyquist frequency. Fast Fourier Transform (FFT) as optimised DFT algorithms.
Computer-automated shadow moiré method and applications for 3D surface profiling

Among numerous methods for 3D surface profiling, classic shadow moiré method has been kept as the most popular one due to its full-field feature and low cost. This thesis focuses on a computer-vision shadow moiré method with a scope to improve the measurement resolution, accuracy and efficiency. The computer automation is basically realized through the introduction of a phase-shifting technique that is incorporated with a new multi-grid least-square unwrapping algorithm. The method is enhanced by implementing a few additional image processing techniques. These techniques, when implemented, result in improved measurement accuracy and enable easy applications to irregularly shaped surfaces. The study also proposes a new, automated system calibration approach that is based on a real-time image subtraction. A data normalization process is studied to resolve possible confusions in the presentation of the original data. The verification test results show that the modified shadow moiré technique has achieved the initial goal, in that the measurement resolution now reaches a few percentage of the fringe sensititivity.
Ultrasound Backscatter Signal Characterization and Classification Using Autoregressive Modeling and Machine Learning Algorithms

Ultrasound Backscatter Signal Characterization and Classification Using Autoregressive Modeling and Machine Learning Algorithms
The Effectiveness of Smart Kit in Enhancing Students’ Mathematical Process Skills and Achievement in Mathematics

The utilization of teaching aids is crucial in enhancing students’ mathematical process skills. However, teachers give less accentuation on this aspect of usage which leads to students’ low competence in mathematical process skills. The purpose of this study was to determine the effectiveness of a developed teaching aids, in particular, a Smart Kit in enhancing mathematical process skills and achievement among selected primary school students in Hulu Kinta, Perak. The experimental method was used in this study. Cluster sampling was used to select the samples. The samples were divided into two groups, the control and treatment groups which each consisted of 36 respondents. The treatment group was engaged with the developed Smart Kit while the students in the control group followed the conventional method of teaching and learning. Measurement and Geometry topics at primary school level were selected and students’ mathematical process skills were assessed based on Malaysia Assessment and Curriculum Standard Documents. The findings revealed that there was a significant difference in problem solving, reasoning and connecting skills between the control group and the treatment group. Furthermore, the mathematical achievement of the treatment group was higher than the control group. In conclusion, the utilization of the developed Smart Kit enhanced students’ problem solving, reasoning and connecting skills, and improved mathematical achievement. In implicative insinuation, the use of the developed Smart Kit can help teachers and students in teaching and learning processes specifically on the topics of Measurement and Geometry.
Influencia del uso del aula virtual en los procesos pedagógicos de los estudiantes de ZegelIpae

In order to determine the influence that the use of the virtual classroom has on the pedagogical processes of the students, a quasi-experimental design was applied with a sample of 64 students; which was divided into two groups: 32 for the control group and 32 for the experimental group (those who used a virtual classroom). A posttest (questionnaire) was applied in which the following four pedagogical processes were evaluated: problematization, purpose-organization, motivation-previous knowledge and management-accompaniment; using the Mann-Whitney "U" for results. In order to evaluate the fifth dimension: evaluation; a pre and post knowledge test was applied, using the Student's T test. Reaching the conclusion that the use of virtual classrooms significantly improved the pedagogical processes in the students of the experimental group since they achieved superior results compared to those of the control group that worked with the traditional methodology. Keywords: Virtual classroom; pedagogical processes; motivation; evaluation; learning.
Haidar M. Abdul-Nabi Encryption Color Images and Transferring Resulted Values to Text File

With the rapid expansion of computer networks during the past few years, security has . &nbsp;become a crucial issue for modern computer systems. The digital image transferring security&nbsp;also is the most important issues that may be very interested field to study and research.&nbsp;Image encryption has applications in Internet communication, multimedia system, medical&nbsp;imaging, military communication, etc. &nbsp;&nbsp;The proposed method deals with encryption the color image and transfer the resulted&nbsp;values into text file to transfer the image on transmission media in encrypted text file form.
Testing

When you need to write or modify some T-SQL code, you may be tempted to just start writing the code. In many cases, the necessary database code is simple enough that no additional analysis is needed. Eventually, there always comes a scenario where the data being queried or the T-SQL code is complex enough where you want to make certain that your code is working as expected. During these times, you might find that you want to test your T-SQL changes. While you can start testing T-SQL code at any time, you may find it helpful to start the habits early on before dealing with complex scenarios.
Fonética y fonología de las consonantes oclusivas del guaymí hablado en Costa Rica

&#x0D; &#x0D; &#x0D; The present work consists of an analysis of the phonetic and phonological properties of the sequences /t-k/ and /b-d-ɡ/ from the Guaymi spoken in La Casona, Puntarenas, Costa Rica. The corpus was analyzed with Speech Analyzer and the Lisker and Abramson (1964) method was applied in order to obtain the values of the V.O.T. The results suggest that the sequence /t-k/ does not present systematic allophonic variations, while /b-d-g/ alternates with stop, fricative, and approximant allophones; neutralization among stop phonemes is not frequent. Lastly, the V.O.T. contributes to the differentiation between voiceless and voiced stops.&#x0D; &#x0D; &#x0D;
Web Page Interactions III

This chapter wraps up all the remaining Protractor APIs that perform respective user actions. You learn the following.
Discrimination of Seismic Events (2006 to 2020) in North Korea Using P/Lg Amplitude Ratios from Regional Stations and a Bivariate Discriminant Function.

and triggered earthquakes that followed the 3 September 2017 nuclear explosion. We were able to separate the cavity collapse from the population of nuclear explosions. However, based on P/Lg ratios, the distinction between the earthquakes and the cavity collapse is ambiguous. The performed discriminant analyses suggest that combining Pg/Lg and Pn/Lg ratios results in improved discriminant power compared with any of the ratio types alone. We used the two ratio types jointly in a quadratic discriminant function and successfully classified the six declared nuclear tests and the triggered earthquakes that followed the September 2017 explosion. Our analyses also confirm that the recent southern events of June 2019 and May 2020 are both tectonic earthquakes that occurred naturally.
Supplemental Material: Archean lithospheric differentiation: Insights from Fe and Zn isotopes

Analytical method for iron purification, and iron isotope values for reference materials.&lt;br&gt;
On Modelling for Bias-Aware Sentiment Analysis and Its Impact in Twitter

Sentiment Analysis (SA) is an active research area for the last ten years. SA is the computational treatment of opinions, sentiments, and subjectivity of text. Twitter is one of the most widely used micro-blog and considered as an important source for computation of sentiment and of data analysis. Therefore, companies all over the world analyze Twitter data using SA and extract knowledge which has potential applications in diverse areas. Although SA is the successful way of finding the people’s opinion, the bias in the tweets affects the results of the SA and reflects inaccurate analysis that may mislead users to take erroneous decisions. The biased tweets are shared by valid, but biased human users as well as the social bots to propagate the biased opinions on certain topics. To counter this, this research study proposes a statistical model to identify such users and social bots who share the biased content in the form of tweets in the Twitter social media. For experiment purpose, we use annotated twitter dataset and argue the results of SA with and without the biased tweets and explored the effects of biased users at micro-level and macro level. The empirical results show that the proposed approach is effective and properly identifies the biased users and bots from other authentic users using sentiment analysis.
Intake

OpflowVolume 45, Issue 9 p. 2-2 Departments Intake First published: 05 September 2019 https://doi.org/10.1002/opfl.1241Read 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. Volume45, Issue9September 2019Pages 2-2 RelatedInformation
Training future computer science teachers in the context of digitalisation based on the “History of informatics” course

The relevance of the study is determined by the fact that the formation of the principles of teaching the use of information technologies needs to be laid in the learning process. The aim is to study the working conditions of a modern computer science teacher and to determine the main directions of their training. The method of analysis made it possible to identify the discrepancy between the realities of the work of a computer science teacher at school and the training system at a university. The paper shows that digitalisation of learning is determined not only by the use of certain digital products but also by the formation of a digital learning environment. The practical significance is determined by the possibilities of a structural understanding of teaching future computer science teachers when using a combination of information technologies with the need to use them in practice in a modern school.&#x0D; &#x0D; Keywords: information and communication technologies (ICT); information educational environment; pedagogical activity; professional competence.
KONSEP PENGAMANAN VIDEO CONFERENCE DENGAN ENKRIPSI AES-GCM PADA APLIKASI ZOOM

The conditions of the Covid-19 pandemic, which began to plague at the end of 2019, brought about major changes to the patterns of interaction in society. Activities that have been carried out directly have begun to shift to activities carried out online. The use of technology, especially in applications for online interaction patterns such as video conferencing applications, is an alternative. The Zoom Cloud Meeting application is widely used by people who initially had doubts about its security system. By implementing end-to-end encryption with AES-256-GCM, it has been able to convince clients on the information security side to keep using the Zoom Cloud Meeting application.
The Methods and Learning Design of English for Specific Purpose for Aircraft Maintenance Engineering Subject in Aviation English

This research discusses about English for specific purposes in particular integration of the methods and learning design in aircraft maintenance engineering subject for cadets in Aviation Polytechnic of Surabaya. Aviation Polytechnic of Surabaya has some specific curricullum of each study programs. The curriculum depends on the major of each study programs. The researchers concern for aircraft maintenance engineering study program in aviation english subject to be researched.&#x0D; The researchers interested to explain the vocabulary subject in Aviation English by deviding into 4 groups, this research offers an example passage of how this can be done and evaluated the passage. Requirements analysis is made and the curriculum is presented on the teaching of vocabulary subject in Aviation English using observation and comparison methods, so the cadets can get and learn the aircraft engineering subject in theory and practice effectively in the classroom and apply it in the world of work.&#x0D; The results of this research is to analyze the progress of the cadets skill using these designs or methods by practicing and exploring their knowledge, we can see the table result of each group in this paper. The cadets can learn many vocabularies and understand the curriculum design of aircraft maintenance engineering subject in Aviation English and organize the material for learning that is appropriate to current conditions.&#x0D;