Reviewerly/exHarmony huggingface dataset:
3D Measurement of Large Deformations on a Tensile Structure during Wind Tunnel Tests Using Microsoft Kinect V2

Wind tunnel tests often require deformation and displacement measures to determine the behavior of structures to evaluate their response to wind excitation. However, common measurement techniques make it possible to measure these quantities only at a few specific points. Moreover, these kinds of measurements, such as Linear Variable Differential Transformer LVDTs or fiber optics, usually influence the downstream and upstream air fluxes and the structure under test. In order to characterize the displacement of the structure not just at a few points, but for the entire structure, in this article, the application of 3D cameras during a wind tunnel test is presented. In order to validate this measurement technique in this application field, a wind tunnel test was executed. Three Kinect V2 depth sensors were used for a 3D displacement measurement of a test structure that did not present any optical marker or feature. The results highlighted that by using a low-cost and user-friendly measurement system, it is possible to obtain 3D measurements in a volume of several cubic meters (4 m × 4 m × 4 m wind tunnel chamber), without significant disturbance of wind flux and by means of a simple calibration of sensors, executed directly inside the wind tunnel. The obtained results highlighted a displacement directed to the internal part of the structure for the side most exposed to wind, while the sides, parallel to the wind flux, were more subjected to vibrations and with an outwards average displacement. These results are compliant with the expected behavior of the structure.
MODEL OF METHODICAL SYSTEM OF FORMATION OF READINESS FOR USING OF DIGITAL TECHNOLOGIES AT FUTURE SKILLED WORKERS OF A COMPUTER PROFILE WITH HEARING IMPAIRMENTS

The conducted research solves the problem of preparing students of vocational schools with special needs to use CT in the process of studying computer disciplines in the conditions of using IIOs, but does not exhaust the problems of preparing future teachers to study computer disciplines in general. To implement the research tasks, we build a model of an object, determine its structure and relationships with other objects and systems, and highlight its features and characteristics. We see such scientific research as promising: training teachers to use CT in the process of studying computer disciplines in the conditions of non-formal and informal education, in systems of retraining or advanced training of teachers; development of digital resources for the development of skills of using CT in the process of studying computer disciplines; creation teachers’ Bank of e-materials of for the implementation of their study of computer disciplines in virtual space. The model reflects the requirements for training students of vocational schools in the specialty "primary education", assessing the levels of formation of readiness to use it in inclusive education, diagnostic tools for the level of formation of ICT competence, the process of preparation for activities in the conditions of ICOs. The proposed model consists of four main blocks, which we will cover more thoroughly. Due to the lack of a comprehensive approach to solving the most important social problem – creating equal opportunities for disabled people in all spheres of society, including in the field of Education, a number of problems have formed by ensuring the accessibility of the physical, social, economical and cultural environment. To solve them, we must provide a differentiated individual package of support for the learning process in an integrated environment, taking into account the educational capabilities and needs of a student with special needs. The analysis of the results of the study confirmed the effectiveness of pedagogical conditions for preparing students of vocational schools with special needs to use CT in the process of studying computer disciplines. We see such scientific research as promising: training teachers to use CT in the process of studying computer disciplines in the context of non-formal and informal education, in systems of retraining or advanced training of teachers; development of digital resources for the development of skills in using CT in the process of studying computer disciplines; creation of a Bank of e-materials for teachers to study computer disciplines in the virtual space. Key words: digital learning technologies, readiness to use digital learning technologies, people with hearing impairments, inclusive education, vocational education.
The Improvement of Science Learning Outcomes and Intrapersonal Intelligence Through Course Review Horay of Third Grade Students at MI Mazra’atul Ulum 01 Lamongan

This research was conducted because the learning process is lack student’s enthusiasm and passion, it tends to be not interested learning. The previous student learning outcomes were only 13% who reach the minimum completeness criteria. Learning so far has used the lecture method so it is necessary to apply a course review horay strategy. This research was conducted at MI Mazra'atul Ulum 01 Lamongan. The method used in this research is classroom action research which consists of 2 cycles, each cycle through 4 stages, namely planning, implementation, observation, and reflection. Data were obtained through interviews, questionnaires, worksheets and documentation. Data on student learning outcomes were analyzed by SPSS to determine the increase in students learning outcomes and intrapersonal intelligence in each cycle. The results showed that: (1) The implementation of the course review horay strategy has done well because it is able to increase the activities of teachers and students. In the pre-cycle teacher, activity has a percentage of 58% (less), cycle 1 has a percentage of 71% (good), and cycle 2 has a percentage of 73% (good). In the pre-cycle student’s activity has a percentage of 42% (less), cycle 1 has a percentage of 58% (less), and cycle 2 has a percentage of 83% (good). (2) Data on student learning outcomes in the pre-cycle has a percentage of 13% with an average of 48.8 (less), in cycle 1 got a percentage of 94% with an average of 78.2 (good) and in cycle 2 got a percentage of 94% with an average 78.6 (good). (3) Intrapersonal intelligence in pre-cycle has a percentage of 40%, cycle 1 has a percentage of 88%, and cycle 2 has a percentage of 96%.
Redirected Walking for Virtual Environments: Investigation and Evaluation

Redirected walking (RDW) is a significant technique to tackle the problem of limited physical space in the process of creating and experiencing an immersive virtual environment (VE). The classification and description of the RDW methods in the existing literature are biased toward the core concept, and the available evaluation system does not comprehensively consider the subjective and objective indicators. It is arduous to effectively guide the selection of solutions for practical development. This work classifies and compares the mainstream RDW technologies in virtual reality based on whether there exists a walking boundary in a VE. Four metrics from both objective and subjective aspects were selected including mean walking speed, mean reset distance, motion fidelity, and motion sickness index. An evaluation system was established based on a fuzzy comprehensive evaluation, and five groups of live user experiments were conducted to evaluate the representative RDW schemes. Sub-results analyzed the advantages and drawbacks of the RDW methods at both objective and subjective levels. Comprehensive results allowed for more intuitive outcomes that are hardly attainable with a single factor.
Aadhaar Secure Travel Identity

Abstract: This paper proposed a public transport system which emphasize on secure travel technique by using Aadhaar card as a travel card. In this study we seek to explain the use of mobile services like mobile ticketing in public transportation previously , this paper provides a brief glance at secure travel system, since the passengers flow in public transportation is increasing day by day as the population is increasing secure travel is an important social need of today which done by using Aadhaar card. Aadhaar card. Aadhaar consist of 12-digit unique number which is the unique identification authority of India (UIDAI).For each and every individual, transaction –ID for every customer will be unique. It presents a brief review on Aadhaar card, and discusses the scope and advantages oflinking Aadhaar card to fake travelers. Customerdetail will be stored in the database for each andevery route, thus it would be beneficial for retrieving the data from database in case any disaster or terrorist attack providing efficientand convenient mechanism for recharge facility for the customer make this system user friendly. Further we present various cases in which Aadhaar card may pose security threats. In this paper followed by a discussion on the loopholes in the existing system. We conducted literature survey based on the various research articles, leading newspapers, case studies and categorized the various cases into three categories. Aadhaar project is one of the significant projects in India to bring the universal trend of digital innovation. The launch of this project was focused on the inter- operability of various egovernance functionalities to ensure the better utilization ofInformation, Communication and Technology Infrastructure. Towards this Government of India has recently made Aadhaar card mandatory for many government applications, and also has promoted Aadhaar enabled transactions. There are many issues related to security and privacy of the Aadhaar data need to be addressed. This paper highlights such cases. Keywords: UID, Passport, RTO Adhaaar System.
Overview of the development process of a virtual reality application

Virtual Reality (VR) technologies have been proven valuable in various application fields, ranging from entertainment to more serious purposes such as education and training.
Parametric optimization of adaptive wave filter using an objective function

Wave filtering is one of the mandatory features of the state estimators in a dynamic position system. The optimization of statistical parameters of these state estimators can be done by covariance matching algorithms and appropriate objective (cost) functions. The proposed cost function has predictive behavior, based on some tuning parameters, which control the quality of wave filtering. These parameters assure convergence of the solution and consistent results in different adaptive algorithms based on the Kalman filter framework as AKF, AEKF, and AUKF.
Importance and use of digital filters in digital image processing

Continuous time filter research has aided in the development of digital filters. To ensure that this chapter is comprehensive, the authors begin by providing an overview of continuous filter synthesis, which is accomplished using analogue components such as resistors, inductors, condensers, and even active components. This chapter establishes a connection between the theoretical introduction of various digital filters and their application in digital image processing for a variety of purposes. Authors will discuss stopband, passband, Butterworth filter, finite impulse filter and infinite impulse filter in this chapter. With numerous applications of digital image filters such as mean, median, Gaussian smoothing, conservation, Crimmins speckle removal and frequency filters.
Token-based code clone detector for Dart language

Reusing the code in multiple locations is called in software engineering Code Clone. Detection of a clone is important to reduce the maintenance time and size of code. There are four techniques to detect the code clone: text-based, token-based, AST(Abstract Syntax Tree) based, and PDG(Program Dependence Graph) based.&#x0D; In this paper, we propose and implement the token-based method for code clone detection in the Dart language. The proposed method is evaluated by injecting clones to Dart programs. Results show that the proposed method detects all the injected codes.&#x0D;
Presence and Live Visual Performance

This chapter will provide a contextual overview of current discourse in presence studies and offer insight into the subjective experience of Live Visual performance (LVP), predominately from an audience perspective. Presence affects both the physiological and the psychological. The extent to which our culture, senses and biological limitations affect presence (in which order and which magnitude) is a long-debated subject with a linage as far back as the 6th century and not one the author will attempt to resolve in this contribution. Rather, the goal of this chapter is to explore what role presence has in LVP and begin to explore, alongside its practical and commercial uses, what needs presence might fulfil for the audience.
Interview 5: Peter Mettler, Digital and Live Cinema Artist

Peter Mettler is a Swiss-Canadian film director, cinematographer and live visualist. He is best known for his distinctive, intuitive approach to documentary, as shown in such films as Picture of Light, Gambling, Gods and LSD and The End of Time. He has also worked extensively as a cinematographer on films by high-profile directors such as Atom Egoyan and Bruce McDonald. He has also worked extensively as a live visualist collaborating with prominent artists such as Fred Frith, Jim O’Rourke and Biosphere. In this interview with Steve Gibson Peter discusses his image mixing technique, his work with TouchDesigner, his use of Live Visuals software in a feature film and his general approach to Live Visuals.
Interview 4: Markus Heckmann, Technical Director, Derivative; Programmer for Carsten Nicolai and Others

Markus Heckmann is the technical director at Derivative, makers of TouchDesigner. Educated in Germany, but working in Canada for more than a decade, Markus has worked as a key programmer and VJ for a number of high-profile artists and companies, including alva noto, Whitevoid, Rush and many more. He also has a parallel career as an installation artist, producing works at the intersection of sculpture, digital immersion and light design. In this interview with Steve Gibson he discussed the processes of his various collaborations and described his input into TouchDesigner’s systems. He also talks about a number of his work projects as wuestenarchitekten.
Interview 3: Greg Hermanovic, CEO, Derivative

Greg Hermanovic has had a varied career as a software/hardware designer, live visualist and the co-developer of key animation and Live Visuals software such as Houdini and TouchDesigner. Greg helped develop the training simulator for the US Space Shuttle’s CanadArm robotic manipulator and other aircraft simulators. In 1987 he co-founded Side Effects Software, makers of Houdini, and he received two Academy Awards for the advancement of procedural visual effects tools in the film industry. Since founding Derivative in 2000 he has been continuously working on TouchDesigner, a highly significant Live Visuals software, which has been used on-set for the film Gravity, and in projects for Walt Disney Imagineering, Google, Prada Tokyo Epicenter, MIT Media Lab, Carsten Nicolai, Plastikman, Rush, Michael Snow and many more. In this interview with Steve Gibson, Greg talks about his long history with audio-visuals, his varied projects at Derivative and his ideas for the future of Live Visuals.
Corpus Linguistics and the Languages of Asia

Corpus linguistics began as a field heavily oriented to English, but its methods were soon applied to other languages. Technical problems delayed this development for many Asian languages, but since c. 2000, the resolution of that issue has led to increased application of corpus-based methodologies to the study of these languages. This chapter presents a review of the consequent advances in corpus linguistics for Asian languages, illustrating how the adoption of corpus-based approaches has tended to lag behind advances in the allied field of natural language processing and demonstrating how progress has been uneven not just across languages but also in terms of what sub-fields of corpus linguistics have received attention for particular languages. We survey subdisciplines including corpus construction, lexicography, grammar, semantics, pragmatics (including collocation-oriented research), discourse analysis and language teaching – identifying languages for which each area is relatively more advanced and exemplifying the research undertaken to date.
Live Visuals

Live Visual performers rely on technologically enabled workflows to realise their art to such a degree that technology is as much their medium as light. This is evident throughout Live Visuals practice: from the pre-production of motion graphics to the design of control interfaces through to the selection of media-diffusion systems. This chapter will argue that artistic aesthetics converge into trends when a critical mass of artists appropriate technologies in similar ways. Within Live Visual performance practice, aesthetics are profoundly coupled to technological processes and inventions. The term ‘live’ in Live Visual performance emphasises that it is art created for and in the presence of an audience: the rendering of the artwork happens in real time as an ephemeral experience shared between performer and audience. The level of spontaneity that a performer strives for will vary, but in all cases the presence of the audience impacts on the performance that is realised. This chapter will discuss how the aesthetics of Live Visuals are a function of three components: artist, technology and audience.
An Offer Method for Photovoltaic Power Plants with ESSs Considering Incentives for Forecasting Accuracy of Renewable Generation

In order to mitigate the issues caused by the Photovoltaic (PV) power forecasting error, an incentive program for accurate renewable forecasting is recently introduced in Korea. In the incentive program, PV generators with energy storage systems (ESSs) can get incentives based on their hourly forecasting error which is calculated with generation offer in the day-ahead market. To increase economic benefits from the incentive program, PV generators should offer the strategical scheduling of their generation considering the characteristics of their forecasting error and operations of ESSs. This paper proposed a generation offering method for PV generators in the day-ahead market considering the incentive for accurate renewable forecasting. Numerical simulation results are presented to show the economic impact of the proposed generation offering method.
Design and Implementation of Vocational Education Management System Based on Discrete Fourier Transform

In some remote areas and even some vocational colleges, the information management of students is still stagnant on paper. Such traditional methods have obviously lagged behind the development and needs of society. The traditional manual management is a waste of both manpower and material resources. In today’s rapidly developing information age, it is very necessary to study an efficient vocational education management system. The vocational education management system designed in this paper includes Web server, DB server, college management terminal, and load balancing switch. In this system, CONN.ASP is a common module of all ASP programs in the whole system. It is mainly used to realize the connection between ASP program and database and the calling of common function submodules. In order to reduce the power consumption of the vocational education management system, the Discrete Fourier Transform (DFT) theory is proposed in this paper. This algorithm can effectively save the size of the storage unit and the number and frequency of reading the twiddle factor, so as to achieve the purpose of improving the operation speed. This paper randomly selected the scores of 10 classes and use the system for data processing test. A total of 50% of teachers were particularly satisfied with the tables generated by the discrete Fourier transform-based vocational education management system. They believed that the vocational education management system based on discrete Fourier transform is very fast in data processing, and the processing speed was within 0.1 s. The system designed in this paper can meet various demands in vocational education management and continuously enhance the function of educational administration management.
Security Requirements for Electronic Health Record (EHR) Sharing in Public Clouds

Hospital health care supplier is also moving from paper records to electronic health records (EHRs) or may be mistreatment EHRs already. EHRs permit suppliers to use info additional effectively to boost the standard and potency of your care, however EHRs won't amendment the privacy protections or security safeguards that apply to your health information. Our project focuses on developing secure cloud framework for evolving and accessing trustworthy computing services all told levels of public cloud readying model. Thus, eliminates each internal and external security threats. These leads to achieving knowledge confidentiality, data integrity, authentication and authorization, eliminating both active and passive attacks from cloud network environment. To develop a secure cloud framework for accessing trustworthy computing and storage services all told levels of public cloud readying model.
A coarse-to-fine temporal action detection method combining light and heavy networks

Abstract Temporal action detection aims to judge whether there existing a certain number of action instances in a long untrimmed videos and to locate the start and end time of each action. Even though the existing action detection methods have shown promising results in recent years with the widespread application of Convolutional Neural Network (CNN), it is still a challenging problem to accurately locate each action segment while ensuring real-time performance. In order to achieve a good tradeoff between detection efficiency and accuracy, we present a coarse-to-fine hierarchical temporal action detection method by using multi-scale sliding window mechanism. Since the complexity of the convolution operator is proportional to the number and the size of the input video clips, the idea of our proposed method is to first determine candidate action proposals and then perform the detection task on these candidate action proposals only with a view to reducing the overall complexity of the detection method. By making full use of the spatio-temporal information of video clips, a lightweight 3D-CNN classifier is first used to quickly determine whether the video clip is a candidate action proposal, avoiding the re-detection of a large number of non-action video clips by the heavyweight deep network. A heavyweight detector is designed to further improve the accuracy of action positioning by considering both boundary regression loss and category loss in the target loss function. In addition, the Non-Maximum Suppression (NMS) is performed to eliminate redundant detection results among the overlapping proposals. The mean Average Precision (mAP) is 40.6%, 51.7% and 20.4% on THUMOS14, ActivityNet and MPII Cooking dataset when the Intersection-over-Union (tIoU) threshold is set to 0.5, respectively. Experimental results show the superior performance of the proposed method on three challenging temporal activity detection datasets while achieving real-time speed. At the same time, our method can generate proposals for unseen action classes with high recalls.