Reviewerly/exHarmony huggingface dataset:
Yet Another Metadata Application Profile (YAMA): Authoring, Versioning and Publishing of Application Profiles

Metadata Application Profiles are the elementary blueprints of any Metadata Instance. Efforts like the Singapore Framework for Dublin Core Application Profiles define the framework for designing metadata application profiles to ensure interoperability and reusability. However, the number of publicly accessible, especially machine actionable application profiles are significantly lower. Domain experts find it difficult to create application profiles, considering the technical aspects, costs and disproportionate incentives. Lack of easy-to-use tools for Metadata Application Profile creation is also a reason for lack of larger reach. This paper proposes Yet Another Metadata Application Profile (YAMA) as a user-friendly interoperable preprocessor for creating, maintaining and publishing Metadata Application Profiles. YAMA helps to produce various formats and standards to express the Metadata Application Profiles, changelogs, and different versions, with an expectation of simplifying Metadata Application Profile creation process for domain experts. YAMA includes an integrated syntax for recording application profiles as well as changes between different versions. A proof of concept toolkit, demonstrating the capabilities of YAMA is also being developed. YAMA boasts a human readable yet machine actionable syntax and format, which is seamlessly adaptable to modern version control workflows and expandable for any specific requirements.
A framework for the development and evaluation of graphical interpolation for synthesizer parameter mappings

This paper presents a framework that supports the development and evaluation of graphical interpolated parameter mapping for the purpose of sound design. These systems present the user with a graphical pane, usually two-dimensional, where synthesizer presets can be located. Moving an interpolation point cursor within the pane will then create new sounds by calculating new parameter values, based on the cursor position and the interpolation model used. The exploratory nature of these systems lends itself to sound design applications, which also have a highly exploratory character. However, populating the interpolation space with “known” preset sounds allows the parameter space to be constrained, reducing the design complexity otherwise associated with synthesizer-based sound design. An analysis of previous graphical interpolators is presented and from this a framework is formalized and tested to show its suitability for the evaluation of such systems. The framework has then been used to compare the functionality of a number of systems that have been previously implemented. This has led to a better understanding of the different sonic outputs that each can produce and highlighted areas for further investigation.
Mining and Modeling Processes on Graphs

Author(s): Lopes da Silva, Arlei | Advisor(s): Singh, Ambuj K | Abstract: Graphs are a powerful tool for the study of dynamic processes, where a set of interconnected entities change their states according to the time-varying behavior of an underlying complex system. For instance, in a social network, an individual's opinions are influenced by their contacts; while, in a traffic network, traffic conditions are spatially localized due to the fact that vehicles are often constrained to move along roads. Understanding the interplay between structure and dynamics in networked systems enables new models, algorithms, and data structures for managing and learning from large amounts of data arising from these processes.This dissertation is focused on recent work on the analysis of dynamic graph processes. More specifically, we will show how sampling and spectral graph theory can be applied to effectively represent data from such processes. We also present efficient algorithms for learning Interleaved Markov Models (IHMMs). These are powerful latent variable models that enable the clustering of discrete sequences without training data and lead to interesting challenges in terms of inference. Furthermore, we also discuss how graphs can be modified in order to control a process of interest via network design and introduce three ongoing projects on the subject of this dissertation. The statement of the thesis is that mining and modeling processes on graphs leads often to problems that are not not only hard computationally but also in terms of inference. They can be solved using spectral, probabilistic, and combinatorial optimization algorithms, and must take into account the graph structure and also large amounts of data traces from these processes.
FUZZY INFERENCE SYSTEM METODE MAMDANI UNTUK MENGIDENTIFIKASI JENIS ALERGI PERNAFASAN SECARA DINI PADA ANAK USIA 3–6 TAHUN

The incidence of allergic diseases end - the end is increased in line with the changing lifestyle of modern society. Symptoms are mild terihat trivial and sometimes make a person do not assume that allergic diseases should be dealt with immediately or serious, in fact if the allergy is not treated properly and it is not known early it will lead to more severe complications of the disease such as asthma and sinusitis. Along with the advancement of technology today, there are many problems that can be solved with technology. One of them by developing an expert system application to identify early types of allergies in children aged 3-6 years, with the specification of the type of allergic rhinitis and allergic interiten persistent allergic rhinitis with fuzzy inference system mamdani models. In this study used input variables such as amount of symptoms, long the sneezing, as well as variable frequency output is the result of the diagnosis. Results from this study is the establishment of an expert system application using MatLab 2008a to identify at an early stage of allergies in children aged 3 – 6 years. Keywords : type of respiratory allergies, Allergic Rhinitis, FIS Method Mandani
Libguides: Open Access at CBS: Denmark's National Strategy for Open Access

In this LibGuide you will find everything related to Open Access at Copenhagen Business School. Navigate by clicking on the blue tabs.
Multi-Font and Multi-Size Printed Sindhi Character Recognition using Convolutional Neural Networks

In this paper, a problem of multi-font, multi-color and multi-size printed character recognition of Sindhi language are addressed. Although previous studies for offline handwritten isolated Sindhi character recognition with unique font and size have achieved satisfactory results, the problem of multi-fonts, multi-size and multi-color character recognition is still a major challenge. This is due to the various varieties in the shape, style, and layout of the character. A synthetic dataset with background color image consisting of Sindhi characters with multi-fonts, multi-size, and multi-colors is created. Three types of experiments with Convolutional Neural Networks (CNN) are performed separately. The first CNN network uses max-pooling layer after every two convolutional layers, the second network applies multi max-pooling layers after the last convolutional layer and the third network is created without applying any max-pooling layer. The experimental results demonstrate that convolutional neural network with max-pooling layers improves the performance significantly. The recognition results of 99.96%, 97.94%, and 98.72% are achieved with first, second and third networks respectively, which shows that CNN with pooling layers is more effective.
A Study on the Development of a Multimedia-focused English Teacher Training Program

This study aims to discover the effectiveness of a multimediafocused English teacher training program as an advanced teacher training system for secondary school English teachers through the analysis of survey data. The survey includes two categories: a program assessment (curriculum, development of language skills and teaching ability) and a course assessment (teaching courses, teaching materials). The questionnaire was composed of two questions for surveying biographical data, thirteen five-point scale questions, and four subjective questions (trainer’s feedback). The analysis of the survey employed a mixed-method approach utilizing both quantitative and qualitative analysis methods. The results of the study suggest an efficient curriculum for English teacher training that will aid in the development of a program for English teacher training and raise the standard of secondary English education for future programs. Based on the results, an advanced teacher training program will also help to improve the quality of secondary English education through the development of English teachers’ communicative ability and teaching ability.
Gyro Stabilization of a Positioning Unit

Mounting cameras on motorized objects has become possible in greater extent due to the emerging camera technology during the past few decades. This application could prove useful in several areas such as search and rescue operations, surveillance or even news monitoring. One hardship that this brings is the difficulty of keeping the camera unit stable while its setting is not. In the situations mentioned above, it would be desired to keep the camera unit in the same attitude during the operation, regardless of the impacts from the surrounding environment. The goal of this thesis has been to solve this problem using gyro stabilization by implementing a stabilization algorithm to be added in the camera unit’s software. The idea behind gyro stabilization is to counteract for external disturbances causing the camera unit to dislocate from its desired attitude. This is realized by controlling two BLDC, Brushless DC, motors in a positioning unit (PU) provided by Axis Communications AB. The PU could be rotated about two axes (using the two motors) perpendicular to each other, pan and tilt, and could hold either a network video camera, or a set of illuminators. The control of the motors is achieved by utilizing data from an IMU, Inertial Measurement Unit, including a gyroscope and an accelerometer, whose measurements are fused in a Kalman filter. This data, together with an estimation of the orientation of the PU, is used to calculate the error between the actual position and the desired position of the PU. The orientation estimation is found by relating the coordinate system of the PU to a fixed, global coordinate system. The calculated error is then minimized by using a PID controller to control the velocity of the pan- and tilt motors and ultimately the position of the PU. Most of the calculations and simulations regarding the stabilization algorithm were carried out in MATLAB Simulink, and later implemented in the PU’s software, written in C code. The final algorithm was tested both on an ABB IRB2400 robot, and mounted on a small boat driven by an outboard motor, made possible by an collaboration with the research program WASP. The results were satisfying and the PU was successfully stabilized, which was the main goal of the thesis. However, there is room for some minor improvements, for example improving the modeling of the motors. (Less)
GUIDELINES FOR CREATING INFOGRAPHICS IN EXTRACURRICULAR INFORMTICS CLASSES USING SPECIAL COMPUTER PROGRAMS

The article discusses an example of the organization of extracurricular informatics classes, in which students under the guidance of a teacher create infographics using special computer programs. A description of each step in the process is accompanied by detailed guidelines. The article also provides a list of topics for creating a supporting synopsis in the form of infographics.
Quantum algorithm for the implementation of a perceptron

Quantum information and quantum computers have enabled us to write algorithms, - quantum algorithms - that in some cases display a speedup with respect to their classical counterpart. As machine learning is becoming of upmost importance not only for our every-day-life and for scientific research, it is natural to inquire if we could use methods from quantum information to speed up machine learning’s processes. In this Thesis, we review a model of a quantum perceptron, a key component for modern neural networks, and simulate its time evolution to characterize behavior.
Non-linear, time-varying, user-controlled pseudo-random bit generator for application in cryptography

Present systems used for random bit generation, that have an application aiming at security in cryptography, are based on time-varying parameters which are static in nature. The aim of generating dynamically time-varying pseudo-random bits is achieved using the model of a Petrol Internal Combustion engine. The objective of bits exhibiting pseudo-randomness is met and the system is controlled by the user. The user can independently vary any of the parameters of the engine. This is particularly achieved by understanding the interrelations of the performance of engine components during the four strokes of power generation. The system is a collaboration of the mechanical components of the engine and the electronic bit stream generated. Thus, the proposed system is nonlinear and the phase space will be heavily distorted. This will enhance the security of the system and fulfill the required purpose of the bit generation.
Force Sensor and MSP430-based System for Motion Detection During Sleep

The purpose of this study is to develop a system that can measure the movement of the human body during sleep in a way that does not constrain the body. In this study, a measurement system was implemented using a strip-type force sensor placed on a mattress, under the user
LibGuides: Open Access at CBS: Home

In this LibGuide you will find everything related to Open Access at Copenhagen Business School. Navigate by clicking on the blue tabs.
Development of stereo matching algorithm based on sum of absolute RGB color differences and gradient Matching

This paper proposes a new stereo matching algorithm which uses local-based method. The Sum of Absolute Differences (SAD) algorithm produces accurate result on the disparity map for the textured regions. However, this algorithm is sensitive to low texture areas and high noise on images with high different brightness and contrast. To get over these problems, the proposed algorithm utilizes SAD algorithm with RGB color channels differences and combination of gradient matching to improve the accuracy on the images with high brightness and contrast. Additionally, an edge-preserving filter is used at the second stage which is known as Bilateral Filter (BF). The BF filter is capable to work with the low texture areas and to reduce the noise and sharpen the images. Additionally, BF is strong against the distortions due to high brightness and contrast. The proposed work in this paper produces accurate results and performs much better compared with some established algorithms. This comparison is based on the standard quantitative measurements using the stereo benchmarking evaluation from the Middlebury.
Золотой век электротехники в российской и зарубежной печатной графике

In the paper, survey of technical and fiction illustration on the electrical engineering subject in the foreign and Russian printed graphic is lighted up. It is showed that illustrative material may profoundly supplement knowledge of electrical engineering history and is one of the important source of information worth thorough study and deciphering. Short survey of the visual information main sources dealing with formation of the late nineteenth century electrical engineering: technical publications, popular scientific journals, family fiction weekly magazines etc. Also are given names of well known and unknown painters — illustrators and engravers who have made a contribution to the development and popularization of electricity.
Impact On Human Resource Development

The human is by far the most important. The importance of human factor in any type of co-operative endeavor cannot be overemphasized. It is a matter of common knowledge that every business organization depends for its effective functioning not so much on its material or financial resources as on its pool of able and willing human resources. The product of any manufacturing organization by itself is not enough to win customers. The human resources become even more important in service industry whose value is delivered through information, personal interaction or group work. This is the only resource which can produce unlimited amounts through better ideas. There is no apparent limit to what people can accomplish when they are motivated to use their potential to create new and better ideas. No other resource can do this.
Library: Education - SMART Boards: Contact

This is a quick 'Getting Started' guide for interactive displays with a focus on SMART Technologies products that are commonly found in Alberta K-12 schools. Contact a librarian on campus for additional help and resoures
THE EFFECTIVENESS OF USING DIORAMA TO STUDENTS’ SPEAKING SKILL ABILITY (Experimental Research at The Second Grade of SMKN 1 MALINGPING)

This research investigates the effectiveness of using media diorama activities to improve students’ speaking skill. The research is conducted based on two purposes: 1. To know the students’ speaking ability at the second grade of SMKN 1 Malingping. 2. To know the effect of using diorama in teaching students speaking skill ability in SMKN 1 Maligping, the writer collected the data from class (X PJP 2) as the experiment class consist of 28 students and class (X PJP 1) as the control class consist of 27 students taken as sample. Based on the result, it is obtained that the score of to is = 4.86> tt = 1.67 in degree of significance 5%. The score of to = 4.86 > tt = 2.39 in degree of significance 1%. It means that Ha: to>tt. It means that there is significant influence of using Media Diorama Activities To Improve Students Speaking Skill at second grade of SMKN 1 Malingping.Keywords: Media Diorama Theory, Media Diorama activities,Speaking skill.
Cross Generational Responses for Some Visual Fictions Stories as Media Entertainment

The development of media entertainment is significant along with the presence of technological advances. One of the media entertainments is Comics. From print format to the touch of digital technology enriches the constellation of comics in terms of the delivery media. Comics have been much development in visuals and delivered media but not in narrative side. Accessing digital formats makes it easy to read a variety of comics, but in reality the format of the book is still well-liked. This study uses qualitative and quantitative methods to look at the phenomenon of cross-generational responses, namely X, Y, and Z generations to comics and delivered by interpretative analysis. The existing comic industry is still underestimated as one of the economic potentials of the creative economy. This is partly due to the stigma of comics in the past. The still existence of intellectual property rights is still one of the biggest scourges of the Indonesian comics industry today.Keywords comics, XYZ generation, media development
A Study on Principal Component Analysis over Wireless Channel

Applications in many fields such as the internet of things (IoT), stock market, image compression, food adulteration, wireless physical layer key generation, etc. are becoming progressively complex due to a large number of users and increment in their usage. Data obtained by these applications are in huge amount creating a high computational cost. Further, it is difficult to handle and analyze it. To deal with such problems, dimensionality reduction techniques are used and one of the dimensionality reduction techniques is the Principal Component Analysis (PCA). In this paper, PCA is applied over a wireless Rician channel with AWGN at different SNR. It is concluded that the information content is more in less number of principal components with samples at higher SNR. It is also observed that the different combinations of several groups and elements in the sample space provide a different cumulative percentage of information.
REVISION OF KNOWLEDGE ABOUT HOME ECONOMICS IN HIGHER-LEVEL TRAINING CYCLES

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 9729-9734ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2374Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Fault diagnosis algorithm of fiber current transformer based on Wavelet-Allan variance

The fiber optic current transformer (FOCT) is affected by complex environment in actual operation which will lead performance deteriorate or even malfunction. This paper introduces the application status and common fault modes of FOCT, and a fault diagnosis algorithm of FOCT based on Wavelet-Allan variance is presented. Wavelet transform is used to identify the jump signal for the mutation fault diagnosis, and Allan variance analysis is used to analyze the noise distribution for the gradual fault diagnosis. By combining the two methods above, the condition monitoring and fault diagnosis of FOCT can be realized without changing the structure of the original transformer or adding additional detection equipment. This method is proved to be effective and accurate by diagnosing faults from FOCTs in substation.
Pemodelan Sistem E-Voting Pemilihan Presiden Mahasiswa Berbasis Web

Electronic voting (e-voting) can be an alternative solution to replace the conventional Student presidential election currently used at Universitas Pembangunan Panca Budi. By using of information technology in the voting process is supposed to resolve existing problems, such as the voters listed and registration, the complexity of counting the ballots. This research it is propose to carry out the elections of Studentpresidential by utilizing web-based technology. Firstly, E-voting can be access only by student who have student identity card as access right to use the system for log in with username and password then register as voters. Secondly, to vote the candidates, the voters only have once chance to choosing candidates by click on one of picture of candidates on web interface. Overall, after the election period is ends. The data from the database of e-voting system can be immediately obtained by election committee and the data is ready to use as real count of election results without any invalid ballots.
Trust, purpose, and role-based access control model for privacy protection

Data privacy is one of the fundamental needs of the people. In a computing environment, there are various issues of data privacy protection in the enterprise. To enforce the automation of privacy policies and law, access control has been one of the most devoted subjects. Role-based access control model has been proposed to protect customer's data. However, relying on role only is insufficient and inefficient to protect data especially sensitive attributes, and this may cause risks of privacy disclosure to unauthorized and untrusted users. This paper presents a finer-grained access control called Trust, Purpose, and Role-Based Access Control (TPRBAC) model to efficiently protect data particularly sensitive attributes. In the proposed model, purpose and role is applied to permit access to data, while trust is applied to control access to sensitive attributes. A prototype system is developed and tested, and the result shows sensitive attributes are protected. Experiments are conducted to validate the proposed model. The results show that the proposed work is efficient and improved privacy protection. Therefore, this research solves the issue of insufficient and inefficient access control mechanism in protecting data especially sensitive attributes.