Reviewerly/exHarmony huggingface dataset:
Proposition for LMS Integration for Share, Exchange, and Spread of Online Lectures under Covid-19 Environment

There has been a movement to share and spread online lectures through OCW and MOOC systems. This movement would have been spread widely and adopted widely if those courses could be easily exchangeable with other platforms or services. If this function is available, learning activities, resources, learning outcomes can be accessed between different platforms and services. With this function, the credit exchange between different platforms or services will be easier. It also facilitates course sharing and circulation. Because the LMS is the basic platform for online classes, providing sharable and reusable learning activities, resources, and learning outcomes across the different LMSs is very demanding for online education. Analyzing LMS use in Korean universities, Moodle, Canvas, and domestic LMSs are founded to be the significant three kinds that are widely used in Korea. In this paper, a method of integrating Moodle, Canvas, and domestic LMS services is proposed. A central Moodle server is installed as the main LMS server, and the method to connect or complement with a central Moodle server is proposed for each different kind of LMS. LMS users can easily access a different kind of LMS as a form of imported course, tightly connected service, or log in as SSO. This proposition can be applied to various service fields such as KMOOC, KOCW, credit exchange, lecture exchange between universities, regional unification of online educational centers as a practical problem-solver.
Real-time estimation of human motion intention for a hand rehabilitation robot with forearm EMG signals

We are developing a hand rehabilitation robot for post-stroke patients. To control the robot according to the human motion intention, we introduce a real-time classification method to extract motion intention of hand flexion and extension out of forearm EMG signals, that is known to have cross talk between each other during hand motion.
Advanced FPGA Implementation of AES Algorithm

Along with the enhance in computation as well as information safe-keeping in cloud servers, the requirement for a devoted computer hardware accelerator with regard to encryption is arising to be able to decrease the processor work. Highly efficient Advanced Encryption Standard (AES) 128-bit implementation, that could be utilized as an accelerator. In this research paper resource optimization and higher throughput were obtained. Memory segmentation is actually carried out to be able to assign several ports for simultaneous information accessibility. When algorithm is in proceed and examined time delay and initiation time period of various procedures, with regard to every crucial route delay, a fresh multistage solitary initiation time period sub-pipelined structure is suggested for making the initiation time period to a single for smallest route latency. Consequently, almost all operations in AES could be started within a single clock cycle and also can easily accept input in each and every clock cycle. The suggested approach while examined on latest Field Programmable Gate Array (FPGA) XC7VX690T unit that offers a throughput of 104.06 Gbps at a highest frequency of 813MHz and also 1.23-ns route delay. The useful resource utilization is reduced whenever compared along with other alternatives. The suggested method offers 30.74Mbps efficiency on device, which usually was 27.13% much more compared to the best efficiency documented in an earlier research study
Análise bibliométrica e comparativa de publicações os casos das revistas Páginas a&amp;b: arquivos e bibliotecas e Perspectivas em Ciência da Informação entre 2016-2020

Open access journals have gathered increasing prominence as researchers understand the importance of communicating their research to the general public and not just to the scientificcommunity. Journals such as Páginas a&amp;b: arquivos e bibliotecas(Portugal) and Perspectivas da Ciência da Informação(Brazil) are good examples of this type of publication in the area of Information Science. In this sense, this study contributes with a bibliometric and comparative analysis of suchpublications between 2016-2020, in order to trace a trend profile based on them. In short, the themes divergefrom management to the Information-Documentation professionals' technical issues.
Attention Scale-Aware Deformable Network for Inshore Ship Detection in Surveillance Videos

Aiming at detecting multi-scale inshore ships in surveillance videos, a one-stage detector namely Attention Scale-aware Deformable Network (ASDN) is proposed in this paper by employing two primary components including Attention Scale-aware Module (ASM) and Deformable Convolutional Network (DCN). Moreover, ASM composed of several branches of convolutions with specially designed kernels and a Convolutional Block Attention Modules (CBAM), is designed for extracting and refining non-local features of multi-scale inshore ships with large aspect ratios at the topmost feature layer. DCN is adopted to capture irregular significant features of ships by modulating input features using parameterized offsets and amplitudes at lateral connections of fine-grained feature pyramid. Experiments conducted on public Seaships7000 dataset demonstrate the contributions of ASM and DCN, and the effectiveness of our method for multi-scale inshore ship detection in surveillance videos in comparison with other Convolutional Neural Network (CNN) based methods, e.g., FPN, Libra R-CNN, SSD, YOLOv3, RefineDet.
Credibility Evaluation Method for Multidimensional Uncertain Interval Data based on the Evidence Theory

Aiming at the credibility of multi-dimensional uncertain interval data, an evaluation method based on evidence theory is established. Firstly, the subjective probability distribution and calculation method based on evidence theory are given. Then, the description method of evidence theory is introduced into multi-dimensional uncertain interval data to obtain the description of probability distribution. Furthermore, according to the evidential reasoning method, the probability of multi-dimensional uncertain interval data is comprehensively calculated to evaluate the credibility of the data. Finally, an example is given to verify the feasibility and effectiveness of the proposed method
Preface

International Conference on Mathematical and Statistical Sciences (ICMSS) 2021 Study Program of Mathematics and the Study Program of Statistics Faculty of Mathematics and Natural Sciences Universitas Lambung Mangkurat Banjarbaru - Indonesia, 15 - 16 September 2021 The International Conference on Mathematical and Statistical Sciences (ICMSS) 2021 was organized through a collaboration between the Study Program of Mathematics and the Study Program of Statistics, Faculty of Mathematics and Natural Sciences - Universitas Lambung Mangkurat (ULM). The theme raised was “Mathematical and Statistical Sciences in Multidisciplinary Research”, with the aims are to acknowledge, learn, share, and transfer the results of scientific knowledge and research among academia and practitioners who have used or implemented Mathematical and Statistical Sciences to solve real-world problems and improve the quality of life. The scopes of our conference are Mathematical modeling, Artificial intelligence, Mathematical physics, Algebra and its applications, Statistics and its applications, Computational fluid dynamics, Data mining and its applications, Dynamical nonlinear systems, Mathematics Educations, Financial mathematics, Mathematical biology, Numerical methods and analysis, Operation research and optimizations, and Real analysis. On behalf of the committee, we would like to thank the Rector of Universitas Lambung Mangkurat, the Dean of Faculty of Mathematics and Natural Sciences, Coordinator of the Study Program of Mathematics and Coordinator of the Study Program of Statistics, advisory board, steering committee, all committee members, reviewers, presenters, and participants. We also would thank the Indonesian Mathematical Society (IndoMS), The Indonesian Algebra Society (IAS), and The Forum Pendidikan Tinggi Statistika (Forstat). Special thanks are also given to the Journal of Physics: Conference Series. We, on behalf of the ICMSS 2021 committee, would like to thank all parties for their participation in supporting this publication. We hope to see you all at the next conference. Kind regards, Dr. Muhammad Ahsar Karim Chair of the ICMSS 2021 List of Organizing Committees, Photographs and Peer review statement are available in this pdf.
The role of higher education institutions in ensuring the sustainable development of the Russian higher education system

To achieve the sustainable development of society, it is necessary to improve and improve various aspects of the socio-economic life of a person. One of these aspects is education. The state of modern Russian society is characterized as a transition, aimed at systemic changes, transformations that naturally put forward the need to update the Russian education system. In solving this problem, the primary role is played by the state and the degree of its influence on the management of the educational process. The Government of the Russian Federation is taking a number of measures to change the entire ideology of higher and vocational education. This is evidenced by a number of developed documents regulating the areas of activity for the modernization of the Russian higher education system. In accordance with the objectives of the national project «Education», specific measures will be proposed to address these objectives.
Peer review declaration

All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind / Double-blind / Triple-blind / Open / Other (please describe): Open • Conference submission management system: EIConferences@126.com • Number of submissions received: 200 • Number of submissions sent for review: 175 • Number of submissions accepted:153 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 76.5 • Average number of reviews per paper: 2 • Total number of reviewers involved: 5 groups with a total of 25 reviewers (each group consists of a lead reviewer and 4 reviewers, each reviewer reviews about 14 papers on average) • Any additional info on review process: Authors will submit their papers through the official email address of the conference, and the deadline for submission is March 15, 2021. The person in charge of the mailbox of the conference committee will sort out all the submissions, divide them into groups and distribute them equally to 5 review groups. The review groups will return comments one after another within 2 weeks, and the person in charge of the conference committee wills feedback the comments to the authors. Each paper was reviewed by two reviewers who gave their own comments: Papers with good quality and themes will be accepted directly, and the authors can register for the next stage of the conference; for papers with medium quality, revision suggestions will be given, and then the review groups will decide whether to accept them or not after the authors revise and return; For papers with very poor quality, the review groups will give rejection suggestions. All involved reviewers are recognized specialists in fields covered by the Conference. The final decision regarding acceptance/revision/rejection was based on reviews received from the reviewers. If the two reviewers cannot agree on a recommendation, the final at the sole discretion of the lead reviewer. The authors themselves do not have any decision on whether their papers are accepted or not. The final approved papers will be registered until April 5, 2021. The conference committee will send the invitation to the accepted authors and submit the information of the authors’ papers to the publishers. Contact person for queries: Name: Xiangtao Wang Affiliation:Shaanxi higher education alliance Email: lidueiconferences@126.com
Use of chatbot on mobile devices

This article shows the beginning of the creation of chabots for mobile devices and their evolution on this platform over time, it was discussed what a chatbot is and its purpose, types of chatbot and how they act according to the concepts of artificial intelligence and machine learning. A questionnaire was prepared for the general public, where it was observed that the focus of use of this tool occurs on mobile devices, with the main areas of chatbot integration, electronic commerce and call center service. It was found that in most situations the chatbot proved to be an efficient tool for the user in solving a problem, searching for information, etc. The trend is that the use of this feature will gradually grow on mobile platforms and that it will be further incorporated into the business environment.
Using Coherent Multimode Photon Addition for Sensing a Remote Phase

We demonstrate a remote phase estimation technique based on delocalized single-photon addition onto distinct field modes and characterized by a sensitivity scaling with the intensity of light that never interacted with a distant sample.
Analysis of Work-Stealing and Parallel Cache Complexity

Previous chapter Next chapter Full AccessProceedings Symposium on Algorithmic Principles of Computer Systems (APOCS)Analysis of Work-Stealing and Parallel Cache ComplexityYan Gu, Zachary Napier, and Yihan SunYan Gu, Zachary Napier, and Yihan Sunpp.46 - 60Chapter DOI:https://doi.org/10.1137/1.9781611977059.4PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAboutAbstract Parallelism has become extremely popular over the past decade, and there have been a lot of new parallel algorithms and software. The randomized work-stealing (RWS) scheduler plays a crucial role in this ecosystem. In this paper, we study two important topics related to the randomized work-stealing scheduler. Our first contribution is a simplified, classroom-ready version of analysis for the RWS scheduler. The theoretical efficiency of the RWS scheduler has been analyzed for a variety of settings, but most of them are quite complicated. In this paper, we show a new analysis, which we believe is easy to understand, and can be especially useful in education. We avoid using the potential function in the analysis, and we assume a highly asynchronous setting, which is more realistic for today's parallel machines. Our second and main contribution is some new parallel cache complexity for algorithms using the RWS scheduler. Although the sequential I/O model has been well-studied over the past decades, so far very few results have extended it to the parallel setting. The parallel cache bounds of many existing algorithms are affected by a polynomial of the span, which causes a significant overhead for high-span algorithms. Our new analysis decouples the span from the analysis of the parallel cache complexity. This allows us to show new parallel cache bounds for a list of classic algorithms. Our results are only a polylogarithmic factor off the lower bounds, and significantly improve previous results. Previous chapter Next chapter RelatedDetails Published:2022eISBN:978-1-61197-705-9 https://doi.org/10.1137/1.9781611977059Book Series Name:ProceedingsBook Code:APOSC22Book Pages:ii + 75
Compression of encrypted and hidden data. Fixing the average time when performing the Huffman coding algorithm

This paper presents an algorithm for compressing data that has been encrypted or hidden, as well as capturing performancethe average time it takes to encode and decode (compress / decompress) a lossless file up to 30%, using the Huffman coding algorithm.
Head-Aware Density Adaptation Networks for Cross-Domain Crowd Counting

<p indent="0mm">The crowd counting based on the domain adaptive method is an effective unsupervised learning strategy, which does not rely on labeled samples. However, the existing methods easily cause information loss in the head region or over counting errors in the background region. A head-aware density adaptive network (HADAN) is proposed for cross-domain crowd counting to solve these problems. In style transform part, the ground-truth of the source domain dataset is firstly used to generate the mask of the head area and background area, and then a head-aware cycle loss based on the mask is designed to prevent the confusion between the head area and the background area during the style transform process. Simultaneously, the density adaptation part further maps the features of both the source domain and the target domain to the same latent space using the discriminator, enhancing the consistency of the density map distribution. Proposed network trains style transfer and density adaptation parts in an end-to-end way, and they learn iteratively and benefit from each other. The experimental results on the synthetic data set GCC and three real-world datasets show that the MAE value of the algorithm is reduced by 9% on average, and the MSE value is reduced by 7%. Proposed method achieves robust cross-domain crowd counting in unlabeled target scenes.
The Impact of Financial Structure on Technical Innovation

We employed the fixed effects model to examine (1) the relationship between China's financial structure and technical innovation and (2) the impact of China's financial structure on heterogeneous technical innovation.This study was conducted using China's provincial panel data from 2004 to 2016.Results show that the market-oriented financial structure had an incentive effect that led to improvement in the level of technical innovation.Furthermore, we found that financial structure had different impacts on heterogeneous technical innovation.Specifically, the market-oriented financial structure significantly enhanced the improvement in the output level of regional original technical innovation; however, it had no significant impact on imitative technical innovation.
FRAUDS WITH PLASTIC MONEY : A CRITICAL ANALYSIS IN INDIAN SCENARIO

The Financial Institutions of India and the banking sector has undergone massive revolution over the past three decades in order to cater to the banking and financial needs for all in the most efficient yet simple manners. Digitalization has enabled users to access their accounts and carry on transactions without their physical presence. But this advancement has also given rise to various crimes which exploit the linchpins and limitations of these systems. Such cyber crimes are more dangerous in nature than regular ones, as it is often difficult to track the criminals, or authorities lack the knowledge to apprehend them. Cyber criminals are coming up with innovative ideas to dupe innocent victims of their hard earned money, one of the leading methods being Card frauds, both debit and credit. There are numerous weapons in the arsenal of criminals in this respect such as skimming, card trapping, stealing, pharming, key stroke logging, phishing scams, installing malware or viruses to name a few. This paper deals with the types of card frauds with special focus in debit and credit cards that are currently plaguing India, and how to combat them.
Covid 19 and Education” The Untold Story of the Barriers to Technology Adoption From A Tertiary Viewpoint

The Covid-19 Pandemic has changed the way Higher learning institutions normally conduct learning.Educational technology is a learning tool that helps lecturers enhance learning through instructional practices; however, lecturers are having difficulties adopting technology.The purpose of this study was to examine the barriers that lecturers' face when attempting to adopt technology and the support needed to be successful within their instructional practices.The conceptual frameworks for this study were Bandura's self-efficacy theory and Rogers' diffusion of innovation.The study included eight lecturers from a Caribbean college in Antigua and Barbuda as participants.Data were collected through interviews and analyzed using open coding and thematic analysis.Findings from the study indicated that there were barriers that were preventing lecturers from adopting technology.These barriers included the need for professional training, institutional support, and observational learning of others which would assist with lecturers' pedagogy, content knowledge, and technology adoption.The results of the study may lead to social change by revealing potential barriers that lecturers face during technology use.The study can also provide both lecturers and stakeholders with data that is Caribbean-specific and can provide the most effective plan to support lecturers' adoption of technology.
“Goat” in the gymnasium: The image of Vasily Rozanov in Mikhail Prishvin’s Kashcheeva Chain

The article examines the complex relationship between two outstanding Russian writers — Vasily Rozanov and Mikhail Prishvin. They had a very difficult relationship that began in high school, where one of them was a teacher and the other was a student. Thus, we have an episode from the real life of the Russian gymnasium of the last quarter of the 19th century. V. V. Rozanov is well-known for his analysis of the system of gymnasium education given in the collection of articles The Twilight of Enlightenment (1899). This collection is an important contribution to the development of Russian philosophy of education. Despite being very positive in the beginning, the relationship between V. V. Rozanov and M. M. Prishvin ended in an acute conflict. The conflict stayed with M. M. Prishvin for the rest of his life, it became an important element of his creative biography. The article analyses real and artistic aspects of their relations. The artistics aspect is based on Prishvin’s novel Kashcheeva Chain, which features Rozanov under the nickname Goat. For many years, the image of the great philosopher and writer would appear in Prishvin’s diaries. Thus, we can say that the relationship between V. V. Rozanov and M. M. Prishvin is one of the most interesting pages in the history of Russian culture.
Installation of Python

In this chapter, you will learn how to install Python on your operating system and which development environments are available.
Comparative Study of K-Nearest Neighbour and Naïve Bayes Performances on Malay Text Classification

Police narrative reports are critical in assisting the investigation officer in uncovering hidden information during the criminal investigation process. In recent years, detecting criminal linkages by locating modus operandi in a massive volume of unstructured police reports has become a significant challenge. Here have been few studies on text classification in the Malay language due to some limitations that need to be addressed. Text classification is the process of properly categorizing text into a set of categories. In this study, classification techniques are used to predict the class of modus operandi for housebreaking crime documents using a Malay crime dataset. The dataset used in this study for housebreaking crime is a real dataset from the Royal Police Department of Malaysia. The purpose of this paper is to compare the accuracy of the K-Nearest Neighbour (KNN) and Naive Bayes algorithms for classifying Malay Crime Reports based on their mode of operation. The experiment results show that Naïve Bayes achieved a high accuracy rate of 97.86% with a 9 second execution time, whereas KNN achieved an accuracy rate of 88.43% with a 48 second execution time.