Reviewerly/exHarmony huggingface dataset:
Deep-Learning Assisted High-Resolution Binocular Stereo Depth Reconstruction

This work presents dense stereo reconstruction using high-resolution images for infrastructure inspections. The state-of-the-art stereo reconstruction methods, both learning and non-learning ones, consume too much computational resource on high-resolution data. Recent learning-based methods achieve top ranks on most benchmarks. However, they suffer from the generalization issue due to lack of task-specific training data. We propose to use a less resource demanding non-learning method, guided by a learning-based model, to handle high-resolution images and achieve accurate stereo reconstruction. The deep-learning model produces an initial disparity prediction with uncertainty for each pixel of the down-sampled stereo image pair. The uncertainty serves as a self-measurement of its generalization ability and the per-pixel searching range around the initially predicted disparity. The downstream process performs a modified version of the Semi-Global Block Matching method with the up-sampled per-pixel searching range. The proposed deep-learning assisted method is evaluated on the Middlebury dataset and high-resolution stereo images collected by our customized binocular stereo camera. The combination of learning and non-learning methods achieves better performance on 12 out of 15 cases of the Middlebury dataset. In our infrastructure inspection experiments, the average 3D reconstruction error is less than 0.004m.
iReportMo: An Emergency Report Android Mobile Application for Metro Manila

Geographical Information System helps everyone in many industries on a regular basis. “iReportMo” is an android mobile application that uses GIS-based to let a citizen report an incident right from the mobile device. This application will serve as an easy access that caters emergency concern such as fire, accident, crime and barangay incident in Metro manila. The user may provide details such as location, date, time, and images when reporting an incident. There are few existing literatures have focused on providing assistance to any emergency event using the newest technology, but few have not touched on providing a centralized system that caters all the emergency in one application. Thus, this paper automates the efforts of the manual transaction to effectively respond to an emergency hazard in City of Manila thus makes it more efficient to gather important information in real time.
Interview with Charles Wuorinen

Dear readers of the journal “Problemy muzykal’noj nauki / Music Scholarship”! The editorial board of the journal “Problemy muzykalnoj nauki / Music Scholarship” is happy to present an interview with the famous American composer Charles Wuorinen. At the present time Wuorinen is the most well-known composer of twelve-tone music in the USA. He was born in New York City in 1938, studied at Columbia University in New York, and subsequently taught at many universities and conservatories in the USA, including Columbia University, Manhattan School of Music (New York), Princeton University and Rutgers University (New Jersey), New England Conservatory (Massachussetts), etc. In 1970 he was awarded the Pulitzer Prize for his electronic composition Time’s Encomium, composed with the use of the RCA Synthesizer at the Columbia-Princeton Electronic Music Center. In his music Wuorinen adheres to the musical traditions of Schoenberg and Stravinsky (especially the latter’s late period), and asserts that he was most influenced in his music by American composers Elliott Carter and Milton Babbitt and German emigre to the United States Stefan Wolpe. The composer was also inspired by the fractal theories of mathematician Benoit Mandelbrot. Similar to Babbitt, Wuorinen has incorporated serial rhythm, in many cases projecting the latter onto the formal structures of entire compositions, following his own invented system. From 1962 to the mid-2010s, along with composer and performer Harvey Solberger, he was one of the leaders of the concert series, the Group for Contemporary Music, devoted to performance of works by contemporary composers. In the 1970s Wuorinen wrote an orchestral composition A Reliquary for Igor Stravinsky, in which he incorporated the last musical sketches of the great master. Wuorinen is the author of a book on serial music, titled Simple Composition, which he characterizes as a manual for composers, meant to teach them how to compose music, and not a music theory book analyzing already composed works. Wuorinen’s music is well-known in the USA and in the countries of Western Europe, where there are frequent premiere performances of his new compositions, among which it becomes proper to name his eight symphonies, his trilogy of ballets based on the theme of Dante’s Divine Comedy, compositions for chorus and orchestra on Biblical themes: Genesis and A Celestial Sphere, music for piano, various chamber ensembles, percussion ensembles and several operas. Music lovers in Russia have yet to discover for itself the music of this intriguing composer (see website www.charleswuorinen.com), and we hope that this interview, which is the first publication about the composer in this country, shall serve as an impetus for further popularization of his music in Russia.
Computing the 2-adic complexity of two classes of Ding-Helleseth generalized cyclotomic sequences of period of twin prime products

This paper contributes to compute 2-adic complexity of two classes of Ding-Helleseth generalized cyclotomic sequences. Results show that 2-adic complexity of these sequences is good enough to resist the attack by the rational approximation algorithm.
Intelligent information technology for fraud detection during mobile applications installation

The intelligent information technology for fraud detection during mobile applications installation is proposed in this paper. The structure of such intelligent information technology of fraud detection is offered in accordance with the tasks which should be solved by it: subsystem for available data analysis; subsystem for intellectual processing of available data; subsystem for developing a database and knowledge base (for detecting fraudsters); classification of model training and user classification subsystem; subsystem for users' templates formation; subsystem for the generalized fraudsters fingerprint formation. The proposed intelligent information technology allows the processing of various input data, which in the process gives the opportunity to form a generalized template of fraudster.
Converting Intent of Physically Impaired into Text using Eye Blink Detection

Many people around the world are affected by motor function disabilities. These people cannot communicate with others as they have met with accidents or they are under some trauma. It is nearly impossible for such paralyzed people to communicate with others. This system permits various physically handicapped patients to convert their intent to text using their eye-blink in order to use a computing system motor capability. However, people under paralysis can use their eyes. A natural motion of the eye is an eye-blink. This eye-blink can be efficiently used to communicate information.
Understanding the potential of mixed reality simulation training for the management of ‘can’t intubate–can’t oxygenate’ emergencies

The management of an unanticipated difficult airway resulting in a ‘can’t intubate–can’t oxygenate’ (CICO) emergency is a rare time-critical and life-threatening emergency that is highly stressful, and the associated stress can impair the performance of the whole multidisciplinary team.We are interested in supporting anaesthetic trainees in managing CICO emergencies, especially by developing their non-technical skills for dealing with this situation. Simulation training supports learners to develop clinical skills in a safe learning environment that shares many features of a real environment. Our challenge was to create simulation training that had sufficient fidelity so as to evoke the stress of managing CICO emergencies.The fidelity of a simulation is essential for evoking stress during a performance and is determined by (1) the level of immersion, with a sense of presence in which the individual has the perception that they are engaged in a real experience1 and (2) the level of authenticity, which is the extent to which the learner considers the simulation represents a real environment.2We describe a feasibility study to ensure that the components of an intervention are appropriate to produce the intended outcomes and to identify any changes that may be required for a future larger study. Previous studies suggest that six participants can identify the extent to which the components are appropriate.3We developed a …
DRAMATIZATION AS AN INNOVATIVE EXPERIENCE FOR SCIENCE SUBJECTS IN UNIVERSITY EDUCATION

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 9891-9899ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2418Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Study on the Talents' Cultivating System of Mentor-Apprentice Mode for Materials Chemistry Major

According to the actual teaching situation, the mode of mentor-apprentice was built by School of Materials and Mechanical and Electrical Engineering of Jiangxi Science and Technology Normal University to improve the quality of undergraduates majoring materials chemistry. It was found that this mode not only can effectively solve the problem of the disconnection between theoretical teaching and practical teaching, and promotes students' spirit of innovation and entrepreneurship, but also is beneficial to students' employment and postgraduate entrance examination. Accordingly, the mode of mentor-apprentice is worthy of the study and improvement of teaching staff.
A Dynamic Semantics for Causal Counterfactuals

Under the standard approach to counterfactuals, to determine the meaning of a counterfactual sentence, we consider the "closest" possible world(s) where the antecedent is true, and evaluate the consequent.Building on the standard approach, some researchers have found that the set of worlds to be considered is dependent on context; it evolves with the discourse.Others have focused on how to define the "distance" between possible worlds, using ideas from causal modeling.This paper integrates the two ideas.We present a semantics for counterfactuals that uses a distance measure based on causal laws, that can also change over time.We show how our semantics can be implemented in the Haskell programming language.
Important New Chinese Calling Regulations Are In Affect [Learn More]

In an attempt to crack down on spam traffic, Chinese telecom regulators recently released tighter restrictions in regard to voice calls made to ...
Design of Expert System Application for Android-Based DSLR Camera Damage Diagnosis

In the digital age it is possible for everyone to do anything including documenting moments. One of them is digital camera based on Digital Single Lens Reflex or DSLR. But sometimes the use that is not according to the procedure can cause damage to the camera. As a layman, of course, will be confused with the problems that arise when there is damage and will be more decided to buy a new one or sell it, even though the damaged camera can still be repaired alone or by expert technicians. To solve the problem, an Expert System was created to diagnose damage to the Digital Single Lens Reflex camera. The method used in this research is the method of needs analysis and data collection. The results of this expert system application can diagnose damage to the Digital Single Lens Reflex camera along with alternative solutions. This application can help people to be more sensitive to the condition of their Digital Single Lens Reflex cameras. The design of this application was created with the help of joomla and sublime text.
Graph-based Multi-view Binary Learning for Image Clustering

Hashing techniques, also known as binary code learning, have recently gained increasing attention in large-scale data analysis and storage. Generally, most existing hash clustering methods are single-view ones, which lack complete structure or complementary information from multiple views. For cluster tasks, abundant prior researches mainly focus on learning discrete hash code while few works take original data structure into consideration. To address these problems, we propose a novel binary code algorithm for clustering, which adopts graph embedding to preserve the original data structure, called (Graph-based Multi-view Binary Learning) GMBL in this paper. GMBL mainly focuses on encoding the information of multiple views into a compact binary code, which explores complementary information from multiple views. In particular, in order to maintain the graph-based structure of the original data, we adopt a Laplacian matrix to preserve the local linear relationship of the data and map it to the Hamming space. Considering different views have distinctive contributions to the final clustering results, GMBL adopts a strategy of automatically assign weights for each view to better guide the clustering. Finally, An alternating iterative optimization method is adopted to optimize discrete binary codes directly instead of relaxing the binary constraint in two steps. Experiments on five public datasets demonstrate the superiority of our proposed method compared with previous approaches in terms of clustering performance.
DETERMINATION OF OCCUPATIONAL COMPUTER USAGE LEVELS OF NURSES IN MEDICAL INSTITUTIONS: A REAL HOSPITAL CASE STUDY

With the development of technology, the role and responsibility of nurses in various health institutions have diversified. The main purpose of this change is to provide better quality health services to individuals. This research aims to investigate Information Technology Readiness of Public Health Nurses in Turkey. A survey was done with a total of 104 nurses. To measure IT readiness, technological skills readiness, attitude readiness, task-ready information technology readiness and institutional support readiness were evaluated using a five-point Likert scale. The scores of the participants were evaluated as technological skills readiness was 3.83 (76,6 %); attitude readiness was 3.67 (73,4 %), task-ready information technology readiness was 3.85 (77%) and institutional support readiness was 3.65 (73 %). The results of the dimensions show that nurses are extremely prone to use technology in their work. The overall results show that the information technology readiness for nurses has been found at 3.75 (75 %) and needs a few improvements.
The Paper Chase: Reference Service in the Bank’s Archives

The Chase Manhattan Bank is a global institution which provides a wide range of financial and related services to customers throughout the world. More than 300 branches, over 50 major subsidiaries, 6,000 correspondent banks and 40,000 employees make Chase the third largest bank in the United States.
Student Olympiads in Algebra in the Conditions of Distance Learning

The article deals with the organization of algebraic Olympiads, dedicated to the memory of Professor V.&nbsp;M. Usenko, in the conditions of distance learning in universities. It is established that the Olympiad movement in mathematics improves the quality of education of math students. A complex of tasks for conducting algebra Olympiads for math students is proposed, which is an important component of research work at national universities. It is indicated that the active involvement of students in the olympiad movement significantly increases their ability to think creatively.
Student’s Self-Confidence and Their Learning Achievement on Elementary Schools

Self-confidence is a very important aspect for someone to be able to develop their potential.If students have good self-confidence, then students can develop their potential well.The purpose of this study is to determine the correlation between student's self-confidence and the learning achievement of Elementary Schools in Kota Tengah Sub-district.This is generated from the problem of the research.To find out the correlation, a quantitative research approach with ex post facto method was employed.This study involved students from all public elementary schools in the Kota Tengah Sub-district as the population of the research with samples of 80 respondents.Data collection techniques used documentation, questionnaires, and observations.Meanwhile, data analysis techniques applied the Spearman rank test and T-test.Based on the hypothesis test that has been done, it was found that there is a relationship of self-confidence with the learning achievement.Moreover, significant test of correlation also obtainsthe outcome in the medium category.Therefore, it can be stated that there is a correlation between student's self-confidence and the learning achievement on Elementary Schools.
Privacy for Rescue: A New Testimony Why Privacy is Vulnerable In Deep Models

The huge computation demand of deep learning models and limited computation resources on the edge devices calls for the cooperation between edge device and cloud service by splitting the deep models into two halves. However, transferring the intermediates results from the partial models between edge device and cloud service makes the user privacy vulnerable since the attacker can intercept the intermediate results and extract privacy information from them. Existing research works rely on metrics that are either impractical or insufficient to measure the effectiveness of privacy protection methods in the above scenario, especially from the aspect of a single user. In this paper, we first present a formal definition of the privacy protection problem in the edge-cloud system running DNN models. Then, we analyze the-state-of-the-art methods and point out the drawbacks of their methods, especially the evaluation metrics such as the Mutual Information (MI). In addition, we perform several experiments to demonstrate that although existing methods perform well under MI, they are not effective enough to protect the privacy of a single user. To address the drawbacks of the evaluation metrics, we propose two new metrics that are more accurate to measure the effectiveness of privacy protection methods. Finally, we highlight several potential research directions to encourage future efforts addressing the privacy protection problem.
Have you accessed your free LinkedIn Learning account

LinkedIn Learning can be used for your personal and professional development, helping you to build new skills in a subject you are passionate about or improve your digital literacy. December 2019
Effects of Learner Autonomy on Performance and Learner Perceptions in EFL College Classes

In a teaching environment where all instructors have to teach the same class materials within limited time, from which they have to create the same test items, it is very difficult to create some space that could foster learner autonomy (LA). The purpose of the study is to examine the effects of LA on college students’ academic achievements, task perceptions, and classroom engagement at a Korean university. The study was undertaken in four sections of the same beginner level college English course over the course of a semester. A total of 84 students enrolled in the college English class participated in the study, of which 41 students were assigned to the control group and 43 students to the experimental group. The students’ learning outcomes between the control and experimental groups, their responses to the LA task, and the instructor’s observations of the students’ learning process were analyzed. The study revealed that the students in the experimental group produced significantly higher scores in their exams than those in the control group. Also, compared to its counterpart, the experimental group appeared to engage in the learning process more actively. Educational implications for promoting LA in EFL college classes are discussed.
Experimental Demonstration on IT and Network Resources Orchestration in Support of Diverse Computing

This paper designs and develops an orchestrator for accelerating diverse computing by jointly scheduling IT resources and network resources. Experiment results have verified efficiency of INRO in reducing completion time of latency-sensitive job.
Специфіка інноваційного мислення фахівця в музичному професіоналізмі

The purpose of the article is to identify art specificity in artistic activities on the basis of the thinking mechanism, where the readiness for new creative actions has been embedded. The research methodology is the principle of analysis and synthesis, which made it possible to determine the specifics of innovative thinking in musical professionalism based on the development of creative psychology. Comparative, historical, psychological-installation approaches and methods of art-style comparative studies were also used. The article deals with the concept of “innovation” in the professional practice of an expert-musician and teacher, as well as the engine of artistic thinking and the specificity of art activity, based on the thinking process in which the willingness to create new actions is laid. It is argued that consciousness takes on the role of a core force; it is a determinant of changes in activity, an internal, essential background for its development. The readiness to innovate is shown as a result of a complex newly formed structure of the personality, its musical and creative activity. The scientific novelty of the research is to identify common mechanisms of apperception and adaptation in the creation of innovative work of an expert-musician. The source of creative discovery and accomplishment for the expert-musician is the meaning of the associated programmability in the musical works and awareness of the great importance of the formal musical text. Conclusions. Individual consciousness with openness to master standards and typologies as well as to “adaptation” to the impressions and achievements of being is proved to be the prerequisites for the appearance of the innovations in the professional activity of the musician-artist, the teacher. The individual consciousness of the creative worker is drawn from the mechanisms of trope-metaphorization which determine not only the meaning structure of the image-composition but appear both in material products of work and in the principles of thinking during the process of a professional cohort reproduction, i.e. in educational institutions.