Reviewerly/exHarmony huggingface dataset:
Context-Dependent Synonym and Concept Extraction for Dialogue Systems Training

Modern scenario-based approaches to the construction of dialogue systems require extraction of domain-dependent synonyms and concepts. For example, making rules for rule-based dialogue systems is greatly facilitated by the ability to automatically generate synonyms for keywords. Automatic detection of domain concepts allows to make a list of slots that need to be filled to create service scenarios in goal-oriented dialogues. This paper describes the method of unsupervised synonym and concept extraction from natural language texts. Our method includes context-dependent algorithms (based on applying word embeddings) and does not require using tagged data and external resources.
PROJECT-BASED LEARNING AS AN INSTRUCTIONAL TOOL IN TEACHING AD DRAFTING TO STUDENTS MAJORING IN ADVERTISING

PROJECT-BASED LEARNING AS AN INSTRUCTIONAL TOOL IN TEACHING AD DRAFTING TO STUDENTS MAJORING IN ADVERTISING
Research Guides: About Researcher Profiles: Welcome

This guide for faculty will explain what a Researcher Profile in RDW is and how to request or create one.
EDUCATION IN INTELLECTUAL PROPERTY IN UNIVERSITIES INFORMATION ENVIRONMENT IN BULGARIA

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 8120-8126ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1928Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
ASP.NET Core Razor Pages

In this version of Employee Manager, you use ASP.NET Core Razor Pages. The user interface is built using Tag Helpers. The model validations are also performed using data annotations. The database CRUD operations are performed using Entity Framework Core. The EF Core model is built using reverse engineering techniques. Mapping with the table schema is illustrated using data annotations as well as Fluent API. The user authentication and security is provided using ASP.NET Core Identity. Specifically, you will learn to
Barcode Detection of Video Images by Using MATLAB SIMULINK

This paper introduces a strategy for smoothly barcode detection of low-quality video images by using MATLAB SIMULINK. The barcode scheme is used as one of the most useful tools for recognizing information about each product. The system can read barcodes via a video and the system can also record the video with a Simulink. Barcode technology is essential for self-acting identification and is used in a variety of real-time requests. There are different types of code and applications pose available in our daily life. Barcode detection is a constant need for solutions for improving performance. This simulation execution stage is the best required for reducing noise level system. Our intention is to detect the barcode position automatically, smoothly, confidently and strictly with the help of extracted image functions. We have the results and the project has been developed smoothly and perfectly. Our paper focuses on the real-time barcode detection from a low-quality video image with the help of MATLAB SIMULINK.
The application of Blog as a teaching media in improving students’ writing

The objective of this study is to find out the significant difference of the students in writing achievement before and after applying Blog as a teaching media. Quasi experimental design was used in this study. The population of this study was all 2nd semester of English study program of STKIP Muhammadiyah Pagaralam in academic year 2018/2019. The sample was taken by using purposive sampling technique. The written test was used in collecting the data. The results of the test were analyzed by using t-test through SPSS. The calculation of the independent sample t-test shows that t-obtain was 6.55. The level of significance of (p 2.01). It can be concluded that Blog could improve students’ writing achievement at STKIP Muhammadiyah Pagar Alam.
El estilo de uso del espacio virtual de internet con estudiantes de Educación Secundaria

This study analyzes the inclusion of learning style through the use of virtual on the Internet in students from 1st to 4th year of Secondary Education in Madrid. It shows the preference for the use of the four learning styles: participatory use, search and research, structuring and planning, concrete and production in the virtual space.The study was carried out with a sample of 232 students from the secondary education stage aged between 12-15 years. The instrument used for data collection was carried out using the questionnaire Style of the use of virtual space by Barros et al. (2008), with the Alpha de Cronbach (0,77). In analysis of the data are presented from two perfectives: the first globally taking as relevant factors the age and gender of students and their influence between the selection in virtual learning styles and the second analysis which the four types of learning styles by blocks reflecting the preferences of the students.
UNDERSTANDING THE CONCEPT OF INCLUSIVE EDUCATION AND THE DEGREE OF PROFESSIONAL CERTAINTY AS THE BASIS FOR THE TEACHER'S PRO-INTEGRATION ORIENTATION

UNDERSTANDING THE CONCEPT OF INCLUSIVE EDUCATION AND THE DEGREE OF PROFESSIONAL CERTAINTY AS THE BASIS FOR THE TEACHER'S PRO-INTEGRATION ORIENTATION
Inspection on Railr Quality by using Image Processing Method

The condition of railroads is the main determinant of train safety. The recent railroads inspection conducted by the mechanic results inaccurate inspection and it cannot be conducted continuously. Therefore, this research develops the inspection by using Image Processing Method. Image processing facilitates and accelerates the measurement of railroads quality. This technique enables the automation of railroads measurement in continuous and faster process. It is as the inspection needs no direct measurement. The image processing conducted in this research uses edge detection method with filter disk 12. For collecting data, this research uses laser line and camera to capture figure of the railroads. Furthermore, the figure data is analyzed by using Matlab software. Output of image processing is graphic of the railroads surface that is analyzed to obtain its quality from its flatness. Result of railroads surface measurement by using image processing is averagely 3.61311 mm height and 55.6000 mm width. It is validated with manual measurement by the result of average height is 3.63 mm and average width is 5.5385 mm. The normal flatness of railroads by using image processing is 0.4488 mm. Inspection by using image processing is feasible as the alternative for substituting the manual process previously conducted.
An Introduction to Data Property Ownership Rights and Data Protection Responsibilities

This paper examines data property with an eye toward offering definitions that distinguish this type of property interest from that available for conventional intellectual property. The paper also will identify the legal rights vested in data creators as well as data protection rights for individuals whose online activities generate data that can be collected, collated, analyzed and sold.The paper identifies the interests of various constituencies and stakeholders including governments, commercial ventures, civil society and individuals. It will report on objectives, strategies and work products generated by national governments, trade associations, companies and public interest groups offering legislative, policy and regulatory recommendations. More broadly, the paper identifies current best practices in data property protection by examining proposed and existing safeguards in specific countries and regions.
Students’ perception on online homework in blended English listening class

This study aimed to explore the use of online homework for the effective management of a blended English listening class. Participants were 67 Korean students from 2 English listening classes, which were managed in both online and offline modes with homework assigned for each online class session. At the end of each homework, the students were asked to freely leave any comments and questions, which was followed by the instructor’s feedback in the subsequent offline class. The results showed that the students perceived the homework as convenient and useful, and effective in increasing students’learning motivation and establishing a rapport between the instructor and students. The students’answers include positive and negative aspects of the homework and suggestions for effective management of offline classes. The result also indicated that the majority of the students prefer blended learning over either online or offline-only classes. These findings provide some pedagogical implications concerning the use of blended-learning classroom management along with limitations and a suggestion for further study.
Design and fabrication of curtain control system

With the development of smart home industry, smart curtain is going to come into the life of people. This Paper contains the improvement of Curtain system with Bluetooth device, which is controlled by any smart phone. The motive of this project is to cope with the digital world and the betterment for the human life. We use Bluetooth device to control the whole system operated by a Smartphone. Bluetooth software is installed in the phone, which name is “Bluetooth terminal”. Blue term is default software, which is available in Google play store. We give a command on that software and the system works with that command. We assign the input ‘3’, ‘4’, and ‘5’ at the arduino coding for motor rotation. Command ‘3’ is for closing the curtain which means motor rotate right, command ‘4’ is for opening the curtain which means motor rotate left and command ‘4’ is for stop the curtain at anywhere. The Bluetooth device which is implemented to the circuit, is password protected. So we can secure the system by giving password. For the power supply of this system we use 9V adapter. The prototype has been successfully developed and it could provide an effective mechanism to make our life easier.
Per-sample Prediction Intervals for Extreme Learning Machines

Prediction intervals in supervised Machine Learning bound the region where the true outputs of new samples may fall. They are necessary in the task of separating reliable predictions of a trained model from near random guesses, minimizing the rate of False Positives, and other problem-specific tasks in applied Machine Learning. Many real problems have heteroscedastic stochastic outputs, which explains the need of input-dependent prediction intervals. This paper proposes to estimate the input-dependent prediction intervals by a separate Extreme Learning Machine model, using variance of its predictions as a correction term accounting for the model uncertainty. The variance is estimated from the model's linear output layer with a weighted Jackknife method. The methodology is very fast, robust to heteroscedastic outputs, and handles both extremely large datasets and insufficient amount of training data.
Selkirk College Library: Business: Websites

A subject guide to help locate print and electronic resources for Business Websites that are relevant to the subject.
The Five A’s of Enterprise IAM

There are lots of frameworks to help you define, organize, implement, and improve security. Initiatives like the Control Objectives for Information and Related Technology (COBIT), the US National Institute of Standards and Technology (NIST) Cybersecurity Framework, and the International Standards Organization (ISO) 27K all provide frameworks to guide security program thinking. They are frameworks, because they provide extensive guidance on everything from funding to security incident response readiness.
Hidden entanglement in Gaussian cluster states

Continuous-variable (CV) cluster states are a universal quantum computing platform that has experimentally out-scaled qubit platforms by orders of magnitude. The implementation of CV cluster states uses multimode squeezed Gaussian states and fault tolerance thresholds for CV quantum computing have been predicted for realistic squeezing. An outstanding question has been whether any Gaussian state can be expressed as a cluster state. We show here that Gaussian states can present hidden entanglement, which is not captured by the corresponding cluster state graph and therefore invalidates this graph. Hidden entanglement vanishes in the infinite squeezing limit, which should therefore be used with extreme caution. We derive a general procedure to detect hidden entanglement in an arbitrary Gaussian state and validate it as a CV cluster state. These results are relevant to all experimental implementations of CV cluster states to date.
PENERAPAN FUZZY DALAM MENENTUKAN DAMPAK PENGGUNA SMARTPHONE DI KALANGAN MASYARAKAT

This study aims to determine the impact of smartphone users among the community. Smartphones also have the ability in each of its features that can help or meet the needs of its users. Smartphones have become a part of everyone's lifestyle, ranging from children, adolescents, and adults. Many people do not realize that using a smartphone has an impact on users both internally and externally. In determining the impact of smartphone users among the public, there needs to be a support system, a support system used is the Fuzzy Tsukamoto method, in the Fuzzy Tsukamoto method the writer uses 4 variables namely distance, user, time and impact to determine the impact of smartphone users.Keywords : Smartphone, Fuzzy
Pengembangan Aplikasi Sistem Periodik Unsur Berbasis Android

The Periodic System of elements (SPU) is the basic material in chemistry, these chemical elements often make students lazy toward chemistry subject especially in memorizing the elements of the periodic system. The way to help students memorize easily is by utilizing technological development namely an Android-based learning application, so that the students able to use smartphones as a means of positive innovation in education to support an interaction system. Therefore, the author was inspired to develop an Android-based periodic system application based on learning media. The application is made using Construct 2 and Corel Draw x7 for creating asset. The method used by the author is the System Development Life Cycle (SDLC) which is used the Waterfall model. The result of the design this application is an Android-based periodic system application which is containing of games, material, chemical periodic system table along with information, practice questions (quiz), as a means of evaluation and information concerning the application. The black box testing shows that all the functions of the application are running well as the expectation, meanwhile, usability testing using the System Usability Scale (SUS) calculation gets a value of 75 which means the application is running well as the function and suitable to be used.
More with GitHub

We’ve seen almost every Git feature that you will use daily in the previous chapters. Now, let’s turn our eyes to GitHub, which only served as a code hosting site until now. But we’ve already established that GitHub is so much more than that. You can use it to host documentation for your project and host software releases. You will also mainly use it as project management tool and a way to connect to your collaborators. Let’s learn about those features.
Rancang Bangun Aplikasi Database Burung Kicau Berbasis Android

The hobby of maintain bird is famous in each level of Indonesian society. This situation is supported by the more frequent songbirds contest. . It has inspired people to get and to maintain birds that can chirp beautifully. This phenomenon has an impact on people who are not fans of chirping birds who wants to maintain and to search information about it, but all of the information is limited. The purpose of this research is to make it easier looking for information about chirping birds, through android application which is globally and can be accessed at any time. The Chirping Birds Database Application Based on Android was developed using the waterfall method and was built using PHP and mysql as its database management system. The method for data collection is documentation by searching in the internet and books, while to test the application is used black box method. Black box method is used to fix error and shortage of application, so it can be better. The results of this study are android applications that can be accessed online and accommodate information about chirping birds. Testing applications for prospective users is done by filling out the questionnaire and calculated using a Likert scale, the average results obtained are 85.12%. Based on the results of testing applications made it can be concluded that the application meets the purpose of making the application and is appropriate in meeting the needs of users.
Unmanned vehicle systems for geomatics: towards robotic mapping

"Unmanned vehicle systems for geomatics: towards robotic mapping." Journal of Spatial Science, 65(1), pp. 185–186
NEW WAY TO TEACHING ALGEBRAIC EQUATIONS

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 1040-1049ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.0321Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Japan Search RDF Schema: A Dual-Layered Approach to Describe Items from Heterogeneous Data Sources

The National Diet Library, (NDL), with support by Xenon Limited Partners, has designed a new metadata schema based on the RDF model while developing a national platform for metadata aggregation and sharing, Japan Search. Search collects metadata from libraries, museums, archives, and research institutions across the country, and provides an integrated search service as well as APIs (SPARQL Endpoint and REST-API). The aim of this paper is to introduce the new schema, highlighting its dual-layered data model and the normalization of temporal (When), spatial (Where), and agential (Who) information provided in the source data.
I can't remember if you are Android ...

I can't remember if you are Android or iOS, but just WordPress Shanske built a tool for displaying trips. I added owncloud to my @reclaimhosting
Towards Supporting Multiple Semantics of Named Graphs Using N3 Rules.

Semantic Web applications often require the partitioning of triples into subgraphs, and then associating them with useful metadata (e.g., provenance). This led to the introduction of RDF datasets, with each RDF dataset comprising a default graph and zero or more named graphs. However, due to differences in RDF implementations, no consensus could be reached on a standard semantics; and a range of different dataset semantics are currently assumed. For an RDF system not be limited to only a subset of online RDF datasets, the system would need to be extended to support different dataset semantics—exactly the problem that eluded consensus before. In this paper, we transpose this problem to Notation3 Logic, an RDF-based rule language that similarly allows citing graphs within RDF documents. We propose a solution where an N3 author can directly indicate the intended semantics of a cited graph— possibly, combining multiple semantics within a single document. We supply an initial set of companion N3 rules, which implement a number of RDF dataset semantics, which allow an N3-compliant system to easily support multiple different semantics.
SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching.

In this paper, we present a framework for computing dense keypoint correspondences between images under strong scene appearance changes. Traditional methods, based on nearest neighbour search in the feature descriptor space, perform poorly when environmental conditions vary, e.g. when images are taken at different times of the day or seasons. Our method improves finding keypoint correspondences in such difficult conditions. First, we use Neighbourhood Consensus Networks to build spatially consistent matching grid between two images at a coarse scale. Then, we apply Superpoint-like corner detector to achieve pixel-level accuracy. Both parts use features learned with domain adaptation to increase robustness against strong scene appearance variations. The framework has been tested on a RobotCar Seasons dataset, proving large improvement on pose estimation task under challenging environmental conditions.
EMOTIONAL EDUCATION AS A CROSS CURRICULAR SUBJECT IN SECONDARY SCHOOL: DIDACTIC APPROACHES BASED IN CONFLUENT EDUCATION AND ENHANCED BY GAMIFICATION AND TECHNOLOGY

EMOTIONAL EDUCATION AS A CROSS CURRICULAR SUBJECT IN SECONDARY SCHOOL: DIDACTIC APPROACHES BASED IN CONFLUENT EDUCATION AND ENHANCED BY GAMIFICATION AND TECHNOLOGY
The Three Pillars of Cybersecurity

The foundation of cybersecurity defense has been muddied by point solutions, false promises, and “bolt-on” solutions that extend the value of a given technology based on a specific need. After all, if we each count the number of security solutions we have implemented, from antivirus and firewalls to security monitoring and single sign-on solutions, we will typically find dozens of vendors and hundreds of individual solutions throughout an organization. The average user or executive is not aware of most of the cybersecurity technology stack they depend upon, even though they may interact with most of it on a daily basis.
In some content areas the bot would ...

In some content areas the bot would lose its physical form and students would need to think about the UI, like a poetry writing bot
A study on detection of Cross Site Scripting (XSS) attacks

The advancement in internet technology has changed the daily activities of human life. The information available here is ample and is available with a single click. In present-day, most of service-oriented companies use web applications to improve services to their clients. With the increase in web users, web attacks are also increasing due to the vulnerabilities in applications. Cross-Site Scripting (XSS) is a computer security vulnerability found in web applications. Hackers, use this vulnerability in web applications to steal identity, credit card details, etc. According to the Internet Security Threat Report 2019(ISTR 2019), there is an increase in web attacks by 56 percent in 2018.
The Attitude of Teachers to the Problem of Formation of Social Skills in School Age Students

The formation of social skills among students of diff erent categories becomes an urgent task of the system of general and additional education. The article presents the results of a survey of teachers of schools and organizations of additional education on the problem of formation of social skills in school age students.
Studi Termodinamika Adsorpsi Pb(II) Menggunakan Adsorben Magnetik GO-Fe3O4 yang Disintesis dari Kayu Kusambi (Schleichera oleosa)

The study on the adsorption of Pb(II) using magnetic adsorbent GO-Fe3O4 that synthesized from kusambi wood (Schleichera oleosa) in the bacth system will be reported. Here, two adsorption parameters such as initial concentration and adsorption thermodynamics were thoroughly studied. The results showed that the initial concentration of the best adsorption of Pb(II) using magnetic adsorbent GO-Fe3O4 from kusambi wood (Schleichera oleosa) lasted a maximum between concentrations of 10 mg/L to 40 mg/L. In addition, based on thermodynamic studies, it is known that the adsorption of Pb(II) on the surface of GO-Fe3O4 from kusambi wood (Schleichera oleosa) has follows physisorption mechanism. Overall, this study indicates that GO-Fe3O4 magnetic material from kusambi wood (Schleichera oleosa) can be used to adsorb Pb(II) from the aquatic environment.