Reviewerly/exHarmony huggingface dataset:
Two-stage Cross Modal Hashing Retrieval Based on Composite Quantization and Cauchy Distribution

With the popularity of Internet applications and the rapid growth of multimodal data, cross-modal retrieval has become one of the key technologies in related fields. Because of the need to handle multi-modal data, cross-modal retrieval consumes a large amount of storage space and retrieval time. In this paper we propose a two-stage cross-modal hash retrieval method based on composite quantization and Cauchy distribution, which is able to learn both hash codes and quantization codes in an end-to-end framework and utilize the two codes successively using a two-stage retrieval mode, thus achieving a reduction in retrieval time while improving retrieval accuracy. Besides, to address the problem of unreasonable distribution of multi-modal data hash codes in Hamming space, cross-modal association loss is improved by using the Cauchy distribution, which can generate higher quality hash codes, resulting in smaller hash code distances for semantically similar objects and larger hash code distances for semantically dissimilar objects, thus improving the overall retrieval effect. The experimental results on MIR-Flickr-25K, MS COCO and IAPR TC-12 dataset demonstrate that our method can effectively improve the cross-modal retrieval performance.
Hybrid optimized query expansion strategy for semantic information retrieval using spatial bound whale and binary moth flame optimization algorithm

Summary The standard information retrieval systems mainly extract documents based on the relative keywords and this method is not effective since the related information can be only identified by extracting the semantics present in the text. Hence to overcome this problem, a semantic‐based query retrieval model is formulated in this article for query processing, identification, extraction, expansion, sorting, and filtering. A keyword expansion approach using the hybrid spatial bound whale optimization algorithm‐binary moth flame optimization algorithm is proposed in this work. In this way, the complexity associated with insufficient query information is overcome. The efficiency of the proposed model in extracting the top k relevant information is evaluated using the experiments conducted in the TREC data using different performance metrics such as precision@k, recall@k, mean reciprocal rank@k, mean average precision, and normalized discounted cumulative gain (NDCG@k). The proposed model achieves improved outcomes when compared to different state‐of‐art techniques such as i‐Dataquest, fuzzy logic, ontological framework for information extraction, and personal knowledge management in terms of precision@k, recall@k, mean reciprocal rank@k, exact match, F1‐score, and NDCG@k. The proposed model gives a mean reciprocal rank@k score of 0.8901, 0.8947, 0.8958, and 0.9014 for the k‐values 1, 3, 5, and 10, respectively. The MAP@k score for the top‐10 result suggestion retrieved is 0.39056. The exact match score of the proposed model for the newsgroup, SQuAD 1.0, and SQUAD 2.0 is 93.25, 94.65, and 95.25.
Analysis of Precision Service of Agricultural Product e-Commerce Based on Multimodal Collaborative Filtering Algorithm

The times are advancing, the Internet is constantly advancing, and there are many examples of the combination of technology and life. The way people buy agricultural products is no longer limited to the physical market, but is being transformed into an agricultural product e-commerce website to achieve digital transformation. So far, a large number of agricultural products have been collected on the agricultural product e-commerce website, they come from all over the country, and different types and different regional agricultural products have appeared. On the other hand, users are faced with a large number of commodities on the Internet. If they simply use search engines, consumers need to spend a lot of time to find the commodities they are interested in by browsing. Searching from the recommended ones greatly reduces the product set and optimizes the performance of the e-commerce platform. Therefore, the generation of the personalized recommendation system meets the needs of the market. This research will improve the related recommendation algorithm by improving the user similarity calculation method based on artificial intelligence technology, improve the execution efficiency and accuracy of the improved algorithm, and use related technologies to develop an agricultural product e-commerce recommendation system. It has important theoretical and practical significance to save users’ browsing time, improve users’ shopping experience, and speed up the construction of agricultural product e-commerce.
Applying virtual reality tourism to cultural heritage sites: A case study on Al-Diriyah

Virtual Reality (VR) has existed in various forms since the 1960s and has been known by different terms such as artificial reality, simulator technology, and synthetic environment. The technology used to realize VR has continued to develop applications in discrete domains. In the travel and tourism industry, VR enables tourists to interact with their destinations in great detail, provides travelers with abundant information, and allows users to satisfy diverse motives by participating in activities that accord them with a rich digital experience of locations, including heritage and cultural sites. This paper attends to the general application of VR technologies in tourism, focusing particularly on heritage-based cultural sites to understand the advantages and threats of VR, given the contemporary global circumstances. The article is grounded in the descriptive-analytical approach and combines theoretical as well as field studies through the administration of a questionnaire on tourism and heritage to a wide range of respondents. The questionnaire pertains to virtual tourism at the Al-Diriyah heritage site and probes related expectations, possibilities, and obstacles.
Neural Network-Based Histogram Transpose and Naor Arnold Reversible Data Hiding for Data Security

Data security concerns safeguarding the data from unauthorized users. Numerous research works have been conducted using Reversible Data Hiding (RDH) technique, but not been found to be fooproof. In this paper, a novel reversible data hiding method, based on an Artificial Neural Network, called Histogram Transpose and Naor Pseduorandom Arnold (HT-NPA) data security system for handling health care reports and securely transferring patient information, is proposed to evaluate the embedding capacity, improve the visual quality of the recovered image and ensure security via duplex scramble. This entire process is performed by means of an Artificial Neural Network (i.e. multilayer perceptron). The experimental results reveal that the HT-NPA performs better with 29%, 16%, 19%, and 9% improvement in embedding rate, PSNR, SSIM, entropy, and NPCR, and 26% reduction of bit error rate, respectively for retrieved medical images compared to existing works.
POSSIBILITIES AND BENEFITS OF USING 3D MODELLING SOFTWARE IN PRIMARY SCHOOLS

The aim of technical or polytechnic education and training is to develop the skills of the students in the use of working tools and machines, to acquire a working culture and to acquaint them with the scientific principles of contemporary production.At present, these objectives are further developed by the use of digital technologies to support these activities.One of the manifestations of these trends is the increasing interest in 3D modelling, which is becoming an integral part of the teaching in some primary schools.The aim of this research work was to map, on the basis of pedagogical research methods, the use and benefits of 3D modelling in selected primary schools, including a systematic description of specific tools for the implementation of such focused teaching.
Safe Distance and Face Mask Detection using OpenCV and MobileNetV2

The COVID-19 epidemic affects humans irrespective of race, religion, standing, and caste. It has affected more than 20 million people worldwide. Wearing face masks and taking public safety measures are two advanced safety measures that need to be taken in open areas to prevent the spread of the disease. To create a secure environment that contributes to public safety, we propose a computer-based method that focuses on automatic real-time surveillance to identify safe general distance and face masks in public places using a model to monitor movement and detect camera violations. We achieve 97.6% specificity with the help of OpenCV and MobileNetV2 strategies.
Currency Trend Prediction using Machine Learning

The field of cryptocurrency has witnessed exponential growth in popularity in recent years. Almost ten years ago, the release of Bitcoin marked the beginning of a new era of innovation in the financial sector. In this work, we outline what exactly defines a cryptocurrency, describing fundamental concepts, underlying technologies such as the blockchain, and subsequently the viability of this new digital financial asset. Building on this knowledge, we examine the infamous volatility of cryptocurrency prices, analyzing pricing data and the likelihood of these currencies, specifically Bitcoin, being in the midst of a financial bubble. We examine the prediction of prices, or rather the inability to do so, before introducing the Currency Analyzer web application developed as part of this work. Containing up to date prices, this application predicts the prices of Bitcoin using machine learning. The research, planning methodologies, technologies, and design and evaluation of this application are described in detail in this chapter, followed by a conclusion and future scope.
Developing Teachers' Transformative Digital Agency through Invention Pedagogy In-Service Training

This chapter discusses the development of teachers’ transformative digital agency during an invention-pedagogy-themed, in-service training course. The course was a blended learning experience that included the planning, implementation, and evaluation of an invention pedagogy project. This chapter defines teachers’ transformative digital agency and depicts its development from four perspectives: technological and invention pedagogical awareness, technological competence, implemented adaptive practice, and teachers as reflective practitioners. The discussion is adhered to the broader context of the digitalizing society and objectives for teachers’ continuous professional learning. The epistemic knowledge of digitalization is one of the key factors that enable the development of teachers’ transformative digital agency while at the same time serving as a cornerstone of running invention pedagogy projects.
Psychological Conditions for the Effectiveness of Distance Education

The article deals with psychological conditions impacting distance education in high school. Information on the specifics of the use of distance educational technologies is analysed. Special attention was paid to motivation and reflection. Following methods were used: psychological and formative pedagogical experiment, testing, observation, analysis of percentage trends, Student’s t-test. The independent variable of the experiment is motivational exercises and reflective reports of distance courses, and the dependent variable is professional competence of the research participants. The domination of the medium indicators of motivational, cognitive, operational-activity, reflective components of professional competence of students was revealed. The students’ ability to carry out self-analysis is the least developed. A formative experiment conducted in the control group revealed a shift in cognitive and operational-activity components. Positive dynamics was found for all studied parameters in the experimental group, which used motivational exercises and reflective reports. The calculation of Student’s t-test confirmed significance of all detected transformations. The study proves the importance of creating psychological conditions to improve the effectiveness of distance education. We see the possibility of improving the developed methodology in the individualization of psychological assignments. The results of the study can be used as a basis for specialized psychological training programmes for the teachers who deliver distance learning courses. Further prospects for the research on the problem are studying the impact of the psychological state of teachers on the effectiveness of distance education, as well as comparing the results of the introduction of certain psychological conditions in traditional and distance learning.
Smart technologies for fighting against pandemics: Observations from China during COVID-19

In recent years, pandemics have become one of the most significant challenges due to their huge socio-economic impacts. Fortunately, smart technologies have provided new ideas to fight against them. Many studies have focused on analyzing particular technologies applied in pandemics, but few have systematically discussed the difference and the relationship among multiple perspectives. China is well represented in the development of technologies and pandemic responses. Therefore, this paper uses China’s response to COVID-19 as an empirical study to systematically review the application of smart technologies and build a case base from multiple perspectives. A total of 1,102 cases from 14 technologies were collected from January 2020 to June 2020 after screening, and a series of analyses were conducted in terms of types, scales, stages, and targets. The result shows various subjects participated in pandemic responses using smart technologies. General technologies such as Big Data and Mobile Internet are most widely used. Besides, most technologies are used on the country or district/city scales and focus on the prevention and control of pandemics. There are significant differences in the penetration of technologies among different perspectives. We hope to provide a reference for applying smart technologies against pandemics in the future.
At the Limits of Free Speech: The Conditions that Enable Islamophobic Discourse

Background: This article revisits a 2008 complaint brought against the Canadian magazine Maclean’s for its publication of excerpts from Mark Steyn’s 2006 book America Alone, a complaint whose dismissal was seen as affirmation of the principle of freedom of speech. The authors refute this claim, invoking the moral principles that underpin free speech, interrogating the notion of an ideal speech situation and an equitable public sphere in a case that involves racism and unequal power relations, and commenting on the pressures placed upon academics and activists who seek to counter anti-Muslim discourse. This article is a co-written analysis that includes the personal recollections of one author who was involved in the case.
Study of the Influence of Wood Mechanical Properties Variability on the Sound Synthesis of a Simplified String Instrument

The influence of wood choices on the sound produced by string instruments is a recurrent issue in musical acoustics. Moreover, the intrinsic variability of wood’s mechanical properties requires considerable attention to any analysis attempt. This paper presents a numerical investigation of the wood mechanical properties variability influence on the sound synthesis of a simplified string instrument consisting of a single string coupled to a square soundboard. The adopted synthesis model is based on a hybrid modal approach that combines analytical expressions to describe the string vibration and numerical data obtained from a finite element analysis of the instrument soundboard. For the sound synthesis multiple sets of random wood mechanical properties are assumed. Samples are generated using Monte Carlo simulations and the synthesized sounds statistical moments are performed. Results show the influence of parametric uncertainty in the instrument sounds.
Modal Parameter Estimation in Transmissibility Functions from Digital Image Correlation Measurements

High-speed digital image correlation is a camera-based displacement measurement technique that has experienced increasing popularity for modal analysis. It is due to a high spatial density of measurement that provides an outstanding interpretation of mode shapes or operational deflection shapes. However, its sensitivity is typically lower than other techniques and transducers such as accelerometers or laser vibrometry. With these measurements, the estimation of any transfer function in the frequency domain is noisier in valley regions of the response, including anti-resonances. Therefore, an accurate analytical model of the response should be used for modal identification. Modal analysis algorithms perform an identification of the modal parameters and a reconstruction of the response based on the transfer function between force excitation and displacement response. This is called the frequency response function. However, force measurements are not available in many experiments, where the motion excitation is recorded instead. This is the case when the vibration is applied to the specimen through a motion in its base. This transfer function, also known as the transmissibility function, relates the motion of excitation and response, whose shape differs from the frequency response function. This difference in the response function is relevant in a relatively noisy measurement like using digital image correlation. Hence, in this work, a transformation of the transmissibility function into equivalent frequency response function, based on theoretical models, is performed prior to modal identification in base motion tests. More suitable experimental response functions are obtained, increasing the accurateness of the modal parameter estimation.
Transformación digital de la educación a corto plazo Fenómeno del sistema educativo de esta década

In this paper, the authors will talk about the development of technological platforms and tools that will support the creation and implementation of techno-pedagogical paradigms to tech the XXI Century generations. By proving how the innovative model of the open and distance learning universities (UNAD, for its Spanish acronym) is not run out and can be renewed, taking as an example the COVID-19 pandemic and analyzing the carriers that provide change to a new education, where the need of innovation in higher education in open and distance modalities is an urgent matter. Undoubtedly, learning is one of the human capacities that has most influenced their development and evolution. Thus, the e-education concept is presented as an effort to develop talents and human capacities using the Internet and new information and communication technologies (ICT). This will allow introducing a generalized remote mode, which will create a different culture adjusting the school curriculum to an online strategy, and not a rigid one, that involves technological improvements, so general and specialized knowledge are combined to the needs of scientific, technological, and social development. Teachers work with students differently and provide help through more knowledge and experience. Recent studies are showing that there are more open and online options for teacher professional development and teachers access the Internet to expand their development opportunities through social media platforms. In this sense, the non-attendance process of education has improved its relevance globally. Although, the COVID-19 pandemic caused an accelerator effect on the digital transformation of the educational institutions.
Photonic Reservoir Computing on Coherent Linear Processor

We implemented an on-chip photonic reservoir computer using integrated photonic circuits and applied it to coherent optical communications. Our linear and nonlinear photonic processing platform is suitable for non-von-Neumann photonic computing engines.
Investigating the EFL Courses Shift into Moodle During the Pandemic of Covid–19: The Case of Ma Language and Communication at Mostaganem University

The ongoing pandemic of COVID-19 has affected all countries worldwide in all sectors, mainly in the education sector. Schools and Universities were closed. Teaching and learning were transformed from face to face environments to online platforms. In light of the latter, a pivotal query in this study was to investigate the shift of English as a foreign language (EFL) learning and teaching into Moodle online learning platform and how the delivery of online EFL courses was (un-)beneficial for students to end up the academic year. This research paper sets out to deconstruct recent calls for integrating several E-learning platforms or apps into the Algerian university. To carry out this study, we used an interview with six Algerian university teachers as a first research tool to cover all issues that arose regarding the use of MOODLE e-learning platform imposed by the Ministry of Higher Education. Another target in this paper is to uncover the main difficulties our colleagues have faced during the confinement. The second research tool we used in this survey was an online class observation followed by six questions on Moodle, the Google Meet app, and a closed Facebook group. We chose 24 MA Language and communication students from the English language department of Mostaganem University to reveal the obstacles they faced throughout the Covid- 19 Pandemic. The results showed that both teachers and students are ready to access various online platforms or apps as alternatives such as Zoom, Google Meet and Facebook closed groups to continue teaching and learning English.
Enseñando en el laberinto de la virtualidad pandémica

In this paper, the authors will talk about the development of technological platforms and tools that will support the creation and implementation of techno-pedagogical paradigms to tech the XXI Century generations. By proving how the innovative model of the open and distance learning universities (UNAD, for its Spanish acronym) is not run out and can be renewed, taking as an example the COVID-19 pandemic and analyzing the carriers that provide change to a new education, where the need of innovation in higher education in open and distance modalities is an urgent matter. Undoubtedly, learning is one of the human capacities that has most influenced their development and evolution. Thus, the e-education concept is presented as an effort to develop talents and human capacities using the Internet and new information and communication technologies (ICT). This will allow introducing a generalized remote mode, which will create a different culture adjusting the school curriculum to an online strategy, and not a rigid one, that involves technological improvements, so general and specialized knowledge are combined to the needs of scientific, technological, and social development. Teachers work with students differently and provide help through more knowledge and experience. Recent studies are showing that there are more open and online options for teacher professional development and teachers access the Internet to expand their development opportunities through social media platforms. In this sense, the non-attendance process of education has improved its relevance globally. Although, the COVID-19 pandemic caused an accelerator effect on the digital transformation of the educational institutions.