Reviewerly/exHarmony huggingface dataset:
Improving reliability of attention branch network by introducing uncertainty

Convolutional neural networks (CNNs) are being used in various fields related to image recognition and are achieving high recognition accuracy. However, most existing CNNs do not consider uncertainty in their predictions; that is, they do not account for the difficulty of prediction, and the extent to which their predictions are reliable is unclear. This problem is considered to be the cause of erroneous decisions when we use CNNs in practice. By considering the uncertainty of the prediction result, it is thought that recognition accuracy would improve, and erroneous decisions would be suppressed. We propose a Bayesian attention branch network (Bayesian ABN) that incorporates uncertainty into an attention branch network (ABN). The method incorporates a Bayesian neural network (Bayesian NN) into the ABN to account for uncertainty in the prediction result. Also, it outputs prediction results from two branches and chooses the one having the lower uncertainty. In evaluations using standard object recognition datasets, we confirmed that the proposed method improves the accuracy and reliability of CNNs.
Students' Entrepreneurial Competencies - The Bridge Between Traditional And Progressive Education

The article analyzes the materials on the students’ training in vocational and higher schools aimed at the formation of entrepreneurial competencies. One of the mechanisms for the strategic development is the consolidation and synchronization of scientific research with the needs of the economic sector, including the format of technological consortia and clusters. The article considers the problem of improving a set of measures aimed at developing of technological entrepreneurship. The main research questions in the article are the transformation of technological entrepreneurship into an important direction and a way to implement state policy in the field of education and science. The solution of these questions fills the gap in science and offers a review of the means to solve actual scientific problems. The purpose of the article is to develop a structural-component model for the formation of entrepreneurial competencies of students, young scientists in the field of technological entrepreneurship. The study was conducted among students of Moscow University of finance and law. The study used qualitative research methods: situational analysis, deep interviews and document analysis. The study allowed the authors to do the conclusion: it is important to use different instruments to involve the students in launching a high-tech business. The authors note that high level of forming of entrepreneurial competencies is possible under the realization of interaction of competency, synergetic, resource approaches to the educational process. The authors recommend to use a model given in the article for the interaction of education, science and production.
From pedagogic control, correction and assessment to self-control, self-correction and self-assessment

The article deals with the methods that allow developing mechanisms of self-control, self-correction, and self-assessment in foreign students. These mechanisms are based upon open and hidden pedagogic control, the use of transparent assessment criteria, and timely analysis of common errors. The authors describe the formation stages of internal self-control, the development of which is characterized by a decrease of the teacher’s pedagogic controlling influence. Attention is drawn to the efficiency of the teacher’s flexible approach in regulating a methodically sound balance of pedagogic assessment and self-assessment of their speech activity by foreign students. The authors present a subsystem of special tasks to form mechanisms of self-control, correction, and self-assessment as well as the general requirements to the content of such tasks. They also offer their recommendations for the prevention of errors according to their classification: 1) violation of language system; 2) violation of language norms; 3) violation of usage. The article contains pedagogic strategies related to the organization of the purposeful progressive transition from the teacher’s external controlling, corrective and assessing actions to the formation of mechanisms of self-control, self-correction, and self-assessment in foreign speakers. The authors demonstrate that a purposeful pedagogic activity promotes a reduction of time needed to overcome the language and speech issues, provides for a relatively errorless speech activity of foreign speakers and positively affects the development of their communicative competence. Other necessary components include a precise organization of the learning process, use of quality teaching aids, a rational balance of test and non-test forms of control and availability of special text-book assignments with answer keys.
Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling

Information steganography is a family of techniques that hide secret messages into a carrier; thus, the messages can only be extracted by receivers with a correct key Although many approaches have been proposed to achieve this purpose, historically, it is a difficult problem to conceal a large amount of information without occasioning human perceptible changes. In this paper, we explore the room introduced by the low-rank property of natural signals (i.e., images, audios), and propose a training-free model for efficient information steganography, which provides a capacity of hiding full-size images into carriers of the same spatial resolution. The key of our method is to randomly shuffle the secrets and carry out a simple reduction summation with the carrier. On the other hand, the secret images can be reconstructed by solving a convex optimization problem similar to the ordinary tensor decomposition. In the experimental analysis, we carry out two tasks: concealing a full-RGB-color image into a gray-scale image; concealing images into music signals. The results confirm the ability of our model to handle massive secret payloads. The code of our paper is provided in https://github.com/minogame/icassp-SIC.
Translating Adult's Focus of Attention to Elderly's

Predicting which part of a scene elderly people would pay attention to could be useful in assisting their daily activities, such as driving, walking, and searching. Many computational models for predicting focus of attention (FoA) have been developed. However, most of them focus on mimicking adult FoA and do not work well for predicting elderly's, due to age-related changes in human vision. Is it possible to leverage the prediction results made by an FoA model of general adults to accurately predict elderly's FoA, rather than training a new network from scratch? In this paper, we consider a novel problem of translating adult's FoA to elderly's and propose an approach based on deep image-to-image translation. Our model is trained by minimizing both Kullback-Leibler divergence and adversarial loss to approximate the joint probability distribution of adult and elderly FoA. Experiments on two datasets demonstrate that our model gives remarkable prediction accuracy.
A Novel Unified Scheme for Missing Image Data Suggestion Based on Collaborative Generative Adversarial Network

An immense number of the applications are available that necessitate numerous system input data to bring about the wanted or desired results or system outputs. In this case, in case of any data that is lost or absent it announces a huge amount of favoritism or unfairness in the spectrum of the output produced from within the method. Here, we are presenting one algorithm that aids in creating more precise anatomically credible imageries of high dimensions according to acquired medical brain scans having a large gap between the spacing of two corresponding inner image slices. Even in spite of the fact that vast databases containing anatomical images which store a copious amount of data, anatomical procurement parameters produce a result in the form of scattered scans that tend to lose a large part of the anatomical image. The main ambition of this system is to be able to apply previously developed algorithms that were developed for fine resolution scans used for research purposes, to be applied on poorly sampled images. The algorithm alters the problem of anatomical image imputation to an image to image illustration translation task over multiple domains for the purpose that the generator part and the discriminator part of the network is able to recover the lost data from the remaining pure and unsoiled data accumulation. In this envisioned form of the system in place of producing common and general results, the generator part of the network trains itself to learn to generate a counterfeit sample result that is specifically parameterized along with particular conditions. Our goal is to enable application of existing algorithms that were originally developed for high resolution research scans to significantly under-sampled scans. The models we introduce capture fine-scale anatomical similarity across subjects in clinical image collections and use it to fill in the missing data in scans with large slice spacing with good quality as suitable for medical image-based applications.
The Philosophical and Technical Legacy of Bernard Stiegler

Although technical systems may not seem on the surface to be philosophical in nature, there is a historical influence in Human-Computer Interaction (HCI) of Heidegger via the work of Winograd and Dreyfus. However, the late philosopher Bernard Stiegler critiqued this positivist reading of Heidegger, noting how Heidegger himself ultimately did not understand the political stakes of technology. Rather than abandon technology, Bernard Stiegler argued that we must repurpose technology to create a new form of society in the wake of the digital disruption. We review his often difficult philosophical vocabulary, his political stance, and his nearly unknown role in motivating a number of innovative software projects at Institut de recherche et d’innovation du Centre Pompidou. It is precisely a fundamental philosophical reorientation that will allow researchers to create the new kinds of programs that can meet the challenge posed by our digital epoch.
Estimation of Solar Radiation of Khartoum City Using ASHRAE Model

As Sudan is a tropical country with high solar radiation, solar energy seems to be attractive source of energy. To study the feasibility of solar energy in a region, information on the intensity of solar radiation in addition to the values of direct and diffuse radiations are required. Therefore, this paper aims to estimate the solar radiation of Khartoum city, Sudan. The diffuse, direct and total solar radiations were calculated theoretically using ASHRAE model. The results showed that the solar radiation begins to rise from morning hours reaching highest value at the noon time and gradually reduces until sunset time. The direct radiation was higher than the diffuse radiation except during morning and evening hours of the day. The results also showed that the peak value of solar radiation reaching the earth surface happens during midday very close to noon time. The peak values of total solar radiation happen during summer seasons while lower values happen during winter seasons. The maximum daily average solar irradiance was 8560 W/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> on May and minimum daily average solar irradiance was 4481 W/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> on December. The location of Sudan is good for thermal solar application because of the average daily beam irradiance which is about 5231 W/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> .
Creativity of a university teacher as an essential condition for the professional development of a modern educator

A significant contribution to the teacher’s creativity is made by the research approach to the problem posed at the lesson, as well as the students’ inclusion in the process of active reflection. The manner of presentation, when the teacher goes as if close to the students and a little ahead, giving them an opportunity to anticipate the course of reasoning, creates an effect of participation, increases the students’ self-confidence, and strengthens theirmotivation for learning. The indicated presentation method is based on trust in students’ independent thinking; it stimulates their mental activity, but does not just load memory. The effectiveness of this method is enhanced by the use of the personalized form, when the lecturer presents the information not only as universally recognized in science, but also as a domain of his or her personal scientific experience. This way of presentation brings together, facilitates communication, and helps to establish emotional contacts with the audience. Modern educators-researchers note that a conversational manner of presentation, but not a monotonous lecturing from notes, as well as a friendly attitude to questions asked directly in the course of the lecture, contribute to the establishment of immediate contact with the audience. In that case the lecture performs the following functions: informative; orienting; convincing; clarifying (explaining); enthralling (inspiring). By turning the students’ answers to questions into a mutual exchange of views, the teacher can increase the audience’s interest and thereby facilitate their learning. Unfortunately, the lack of suitable textbooks and printed lecture notes sometimes makes it difficult to establish such a psychological contact, as the students strenuously outline the presented information without even trying to understand it, and the lecturer sees before him/her scribbling robots that it is impossible to establish emotional contact with. When the student receives notes before the lecture begins, the lecturer has enough time to answer questions, which increases the students’ activity and allows keeping live communication at the lecture.
Design And Implementation Of Iterative Dct Using Concurrent Loading For Image Encoding

Abstract Discrete Cosine Transform (DCT) is the most widely used transformforsignal compression in many image and video processing applications. Spatial signals are transformed to frequency domain in which the signal is broken down into different frequency components Through DCT. DCT is generally used for image compression but also for noise reduction in images. But various digital architectures developed for computing DCT for images require large computations resulting in a complex and costly design. So a design of an advanced model of parallel DCT with iterative looping structureis proposed to process images. The benefit of such 8-point iterative DCT architecture is that it improves the resolution of the input image thereby utilizing low power principle and finally transforms the image data with reduced errors. The iterative DCT used in this system results in reduced processing time. The digital architecture used for the image processing follows distributed arithmetic algorithm. As a result, the proposed system achieves an area reduction of 47% and an energy reduction of 65.55%.
Video Content Representation to Support the Hyper-reality Experience in Virtual Reality

Most research on providing location-based content in 3D interactive virtual reality has been limited to social media content. Few studies have suggested how to represent the video clip of movies or TV shows in virtual reality. This paper investigates a video content representation method to provide a hyper-reality experience of the narrative world in virtual reality. We reflect the time and place settings of the video content in virtual reality and have participants watch the video in four different virtual reality environments. We reveal that reflecting the story's environment settings to the virtual reality environment significantly improves the spatial presence and narratives engagement. We also confirm a positive correlation between spatial presence and narrative engagement, including subscales such as emotional engagement and narrative presence. Based on the study results, we discuss how to provide the hyper-reality experience in content-adaptive virtual reality.
OMAI Platform Based on Machine Learning

As far as medical data is concerned, data analysis software is an effective tool to process and analyze medical data, but it still has some problems, such as high learning cost, poor medical text processing effect, single function and so on. For this reason, this paper designs and implements the OMAI platform, which is an open)O(medical)M(data platform based on Web and combined with artificial intelligence)AI( technology. The OMAI system implements the functions of medical data collection, storage, processing, analysis and utilization. Through the application of medical examples, the platform can effectively complete the process of medical data from processing to utilization, so as to provide help for doctors.
An RPi-based Smart Track Finding Vehicle

Along with the popularization and progress of machine learning, more and more AI-based applications have emerged, in which unmanned driving is an important sector. However, due to complex function requirements and large amount of data to process during solution, unmanned driving usually requires significant hardware costs. The author used RPi as the basic platform, 3D Additive Manufacturing and common processing methods for model making, convolutional neural network (CNN) algorithm, as well as Keras and Tensflow modules, to make an unmanned smart track finding vehicle that can be applied to multiple scenarios.
Model‐based assisted migration of oracle forms applications: The overall process in an industrial setting

Abstract The migration of software is an economically important niche since the daily operations of many business still rely on systems based on legacy technologies. Migration to more recent technologies comes with major technical and management challenges mainly related to knowledge‐loss issues on the specific technology but also on the architecture and design of the legacy. This article presents a method that addresses the reverse/forward engineering tasks as well as some management challenges such as the planning of the migration based on a better understanding of the system. The process relies on the use of models and transformations to create high‐level abstraction views of the legacy. A big challenge with the migration of certain legacy applications is that much of the business logic is inside triggers which are written in the PL/SQL language and scattered across the application layers. Therefore, developers need to know what they need to migrate and where it is. The main contribution of our work is that the abstractions allow developers to understand and plan the migration without the need of having a vast knowledge on the initial technology. Furthermore, our views help developers to decide about the structure and business logic they want to have in the target system. In this article, we describe the application of the method to the Oracle Forms case study. Nevertheless, the approach can be generalized to other technologies through new bridges that transform from said technologies to the abstract views. The article ends by reporting lessons learned from our experience.
Selection of Composite Web Services Based on QoS

Today, web services and Service-Oriented Architecture (SOA) are causing a lot of ink and research to be reinforced. This architecture makes the composition of web services a necessity. Considering the increase of these in a way that has many proposals for a single customer request. The proposal of other forms of composition based on quality of service (QoS) that will save time and will perfectly meet the user's request given the criteria required by each customer presents a challenge today.
Development and Validation of a Classified Information Assurance Scale for Institutions of Higher Learning

Research in the field of information security is growing fast. However, some niches in the field, especially on the security of classified information in higher education is lacking context-specific scales that researchers can readily use. In this study, we developed and validated a scale for assessing classified information (CI) assurance for institutions of higher learning (IHL). Data were collected from a panel of 10 experts: 4 were seasoned information managers from Nigerian Army University, and 6 were senior academicians selected Universiti Teknologi Malaysia using publications in reputable journals as selection criteria. Each panel member rated the initial item pool and also commented on them. The data thus collected were used in computing the scale’s content validity index (CVI), while panel members’ comments were employed in improving the items. The result confirmed five dimensions, namely organisational structure, regulatory, human, technological and risk management factors for securing CI in universities. Based on these four dimensions, a 61-item scale was established that could be used in assessing CI assurance in universities.
Give Me a Hand: Exploring Bidirectional Mutual Embodied Tangible Interaction in Virtual Reality

Virtual reality (VR) systems have been increasingly used in recent years in various domains, such as education and training. Presence, which can be described as `the sense of being there' is one of the most important user experience aspects in VR. There are several components, which may affect the level of presence, such as interaction, visual fidelity, and auditory cues. In recent years, a significant effort has been put into increasing the sense of presence in VR. This study focuses on improving user experience in VR by increasing presence through increased interaction fidelity and enhanced illusions. Interaction in real life includes mutual and bidirectional encounters between two or more individuals through shared tangible objects. However, the majority of VR interaction to date has been unidirectional. This research aims to bridge this gap by enabling bidirectional mutual tangible embodied interactions between human users and virtual characters in world-fixed VR through real-virtual shared objects that extend from virtual world into the real world. I hypothesize that the proposed novel interaction will shrink the boundary between the real and virtual worlds (through virtual characters that affect the physical world), increase the seamlessness of the VR system (enhance the illusion) and the fidelity of interaction, and increase the level of presence and social presence, enjoyment and engagement. This paper includes the motivation, design and development details of the proposed novel world-fixed VR system along with future directions.
A Blockchain Technology-Based for University Student Enrollment Process

University in Indonesia contemporary is looking for a solution to improve the university documentation such as certificate and transcript. But fake diploma certificate and transcript is an issue reported in several articles recently. The new technology called Blockchain has been elaborate and predicted can be used to solve the issue because of blockchain characteristics which are immutable, secure, tamperproof and unchangeable. The enrollment process is one of the vital process for university before the document can be made. Therefore, the research tries to elaborate deeply to create a model of the university student enrollment process. The research question of this research is how Blockchain Technology can be merge in the enrollment process? The model has been validated by several universities in Indonesia. Forum Group Discussion had been performed to discuss for enrollment process. In the end, many benefits come up from blockchain technology utilization to produce a reliable document such as diploma certificate and transcripts.