Reviewerly/exHarmony huggingface dataset:
Wireless OFDM links with equalizers based on extreme learning machines

Technologies used in wireless access telecommunications networks, particularly those of mobile telephony, are constantly advancing, achieving this through the development of new techniques and methods that allow reaching an adequate level in very important aspects for a communication system. This article presents the extreme learning machine (ELM) with regularized parameter as a suitable alternative to perform channel equalization in orthogonal frequency division multiplexing (OFDM) schemes subject to standard wireless communications. To study their performance, other extreme learning machines proposed as equalizers are also considered. For various signal-to-noise ratios (SNR) and diverse model channels, the bit error rates are exposed, by showing that the superiority of a certain method depends on the adopted wireless link.
Is My Password Strong Enough?: A Study on User Perception in The Developing World

INTRODUCTION:The first line of defense in the cyber world is strong and difficult to predict passwords.However, users often choose highly predictable passwords based on personal information, dictionary words, birth date, etc. OBJECTIVES: The primary objective is to ascertain password choice and practices of users of developing countries.METHODS: Most of the existing studies are done in the developed world and our exhaustive search failed to find similar research in the context of developing countries.Here, we conducted detailed surveybased scrutiny about the passwordbased security perceptions of Bangladeshi nationals, which include 881 participants, primarily students, and professionals.RESULTS: Most of the users were found to have bad practices, for example, having personal information(56%), password reuse(69%), having commonly used patterns(81.3%).Students from technical backgrounds fared well compared to non-technical backgrounds as expected.However, some professionals (especially Bankers) surprisingly chose weaker passwords even though dealing with sensitive data.CONCLUSION: We also make a few recommendations to improve awareness.
A Proposed Prototype Evaluation Instrument in Filipino 1 in State Universities in Tacloban City

This study focused on the development of a proposed prototype evaluation instrument in Filipino 1. Specifically, the study sought to answer the following questions: What proposed prototype evaluation instrument should be developed in Filipino 1? What intervention scheme may be proposed to improve the academic performance of education students of the Leyte Normal University and Eastern Visa as State University? The study used the descriptive developmental research with fifty (50) First Year Education students for the first dry run at Leyte Normal University, and another set of fifty (50) First Year Education students for the final dry run was conducted at Eastern Visayas State University; and Fifty (50) First Year Education students for establishing reliability of the final form of the evaluation instrument in Filipino 1, conducted at Leyte Normal University with a combined coefficients of 0.72 which was interpreted as having a "high reliability."To determine whether the Proposed Prototype Evaluation Instrument in Filipino 1 is valid and reliable, the following were considered: Validation of the evaluative instrument as determined by the panel of evaluators; administering the evaluation instrument at Leyte Normal University for the first dry run and Eastern Visayas State University for the final dry run; item analysis, after the dry runs; and lastly, analyzing the distracters where the conditional and not effective distracters were removed or changed.
The Effect of Board Characteristics on Corporate Social Responsibility Disclosure in the Jordanian Banks

A research was conducted to assess the influence of board member characteristics on corporate social responsibility disclosure (CSRD) within banking industries in Jordan where a total number of 155 banks per annum were sampled between the years 2010 and 2020.A hundred items have been developed as a checklist to evaluate the level of disclosure and the analysed results were comparatively low in terms of the level of disclosure for the selected banks in Jordan.To test the model, data from a time series and the ordinary least squares model have indicated the influence of three (3) factors that impacted positively on the disclosure of corporate social responsibility (concerning the board"s size, board of foreign members and the audit committee).The present research thereby proposed that the directorate boards of commercial banks in Jordan need to create more awareness about corporate social responsibility, and implement proper monitoring activities in disclosing information on regular by the Central Bank of Jordan.However, any commercial bank that fails to comply with the rules and regulations should be sanctioned severely for indiscipline.This study became relevant by contributing meaningfully to literature where the quality of information of the banking industries could be improved to meet the novel trend by worldwide economic analysts.Furthermore, this research successfully carried out investigations on the impacts of CSRD level within the context of a new business environment, thereby projecting more guidelines for future works in a related discipline.However, the overall outcome from this study could be made to attract groups of stakeholders and shareholders like moderators, potential investors, and CSR and government officials.
Medical Image Forgery Detection using Cnn

With the improvement of the computer technology, image processing techniques have become important in a wide variety of medical applications. Numerous new features have been added to satisfy people. People consult doctors online, without even visiting them. As health is a critical issue, we should take care with full attention and security. This paper proposes a medical image forgery detection system for the identifying whether the image is altered or not. The forgery done on the medical images can lead to various issues that can shake the medical industry this also promotes wrong diagnosis, organ trafficking etc. Hence a group of different forgery detection algorithms is described and by using the Convolution neural networks we can detect and the forged images. This paper also gives a brief outline about the advantages and disadvantages of the existing systems in forgery detection.
An Evolving Awareness of the Impact of AI and Robotics on the Workplace by Future Employees

This paper summarizes a study of university undergraduate, upper-class status, students about their perceptions of the potential impact of artificial intelligence and robots on the workplace and their careers. The findings are relevant because of the rapid evolution of these technologies and their potentially dramatic impact on the current and future workplace. Job design, career development, and talent development are important considerations. This study can inform the development of presentations and more lectures by professors and companies on this topic. It can help to substantiate the need for proactive, organizational endeavors to prepare managers and employees for transitions that occur due to AI and robotics. Very little research has investigated university students’ perceptions of these factors and how it may impact their careers.
Social transitivity as a factor in the formation of the value structure of a person in the process of studying at a university

International scientific conference «Innovative projects and programs on psychology, pedagogy and education» : conference proceedings, December 10–11, 2021. Riga, Latvia : “Baltija Publishing”, 2021. 212 pages.
Toward Secured Internet of Things (IoT) Networks: A New Machine Learning based Technique for Fingerprinting of Radio Devices

The process of identifying and authenticating Internet of Things (IoT) devices based on the electromagnetic characteristics of their wireless interfaces is a topic that has been receiving a lot of attention lately due to the continuous growth in the market of embedded and wearable wireless devices. Securing the networks to whom these devices are connecting daily has become a significant security challenge, which is threatening the security and safety of thousands, maybe millions of private and public networks due to the vulnerable nature of wireless devices to a well-known set of possible attacks.In this paper, we present the initial results acquired from our work-in-progress to develop new radio-features-extraction-based technique to identify wireless devices, specifically Internet of Things (IoT) ZigBee and LoRa devices. This paper summarizes our initial experimental setup to gather and analyze the devices signals to extract the desired features and describes the signal pre-processing approach and the machine learning methods that we attempted to date.
DecGNN: A Framework for Mapping Decoupled GNN Models onto CPU-FPGA Heterogeneous Platform

A well-known issue in mini-batch GNN inference is neighborhood explosion. This results in two challenges for its hardware acceleration: (1) high computation and communication costs resulting in high latency, and (2) low computation-to-communication ratio leading to low hardware utilization. To address these challenges, we propose a hardware mapping framework following the recently proposed GNN design principle of model depth-receptive field decoupling. We show that Decoupled GNNs enjoy significantly higher computation-to-communication ratio, therefore, are more suitable for hardware acceleration. To efficiently map Decoupled GNNs onto CPU-FPGA heterogeneous platforms, we propose the following model-architecture co-optimizations: (1) Model instantiation: according to the bandwidth and computation resources, we determine the number of GNN layers to achieve high hardware utilization; (2) Neighbor selection: to meet the application constraint, we select a small number of important neighbors surrounding the target vertices to improve the throughput without sacrificing accuracy; (3) Hardware mapping: given the model and neighborhood defined above, we determine the accelerator parameters based on our novel hardware templates, enabling fast computation of GNN inference workloads. We evaluate our framework on two state-of-the-art FPGA platforms, using two models (GCN, GraphSAGE). Experiments show that the resulting designs achieve high hardware utilization 88%-94% and significant speedup (1.1x-2.5x) compared with the implementations on state-of-the-art CPU-GPU platform.
Study shows environmental nonprofits making progress on diversity, inclusion

Board & Administrator for Administrators OnlyVolume 38, Issue 7 p. 12-12 Articles Study shows environmental nonprofits making progress on diversity, inclusion First published: 10 February 2022 https://doi.org/10.1002/ban.31358Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume38, Issue7March 2022Pages 12-12 RelatedInformation
Innovative Educational Activity of a Teacher as a Result of Working with Gifted Children

The article is devoted to the study of innovative educational activities of teachers as a result of working with gifted students.The national goal of the Russia until 2030 states that it is necessary to create all conditions for self-realization and disclosure of the talent of each student.It is necessary to keep in mind the fact that many students do not have possible potential (hidden) giftedness due to the lack of a built-up system for ensuring the effectiveness of working with gifted students to reveal the talent of each of them.The article focuses on identifying the" innovativeness " of teachers, on determining the possession of an emotional and evaluative attitude to innovations, as well as on innovative competence, which ensures the effectiveness of using the latest technologies while working with gifted students.The following research methods were used: analysis of special (psychological and pedagogical) literature; survey; observation.The research involved 50 teachers who took advanced training courses "Psychological and pedagogical technologies for working with gifted children".To identify the readiness of teachers for innovative pedagogical (educational) activities, a questionnaire consisting of 6 blocks was conducted.According to the results of the survey, the readiness (full and partial) of teachers working successfully with gifted studentsparticipants of the survey for innovative pedagogical activities was established.
Foreign Teaching Experience Addressing Literacy Deficiency in the ICT Era

The last decade witnessed a decline in the level of reading literacy among Russian students according to the result of the PISA International study.World social changes of 2021 stipulate new approaches to functional literacy, require the modernization of both pedagogical activities and the development of a long-term educational strategy.International pedagogical experience demonstrates a significant role of non-profit literacy organizations that provide online resources for students and schoolteachers.The purpose of the study is to reveal specific features and functions of literacy organizations in the UK, the USA, and Australia.In this paper, the authors explore the possibility of subsequent implementation of relevant foreign experience in Russia to increase the level of students' functional literacy.The study is based on the data obtained in foreign methodological and pedagogical sources.The leading approaches include systematic and comparative analysis, methods of definition and classification.The results of this study can be further used for the development of a non-profit literacy organization with the purpose of functional literacy improvement of school students in Russia.The materials of the article will be useful for researchers of foreign pedagogics, educators and schoolteachers, extra-curriculum courses developers.
Image Retrieval of Tourism Landscape in Rural Revitalization Based on Wireless Communication Network

With the rapid development of information technology, people's acquisition of tourism and other information is increasingly dependent on images and other information. Aiming at the low efficiency of traditional image retrieval methods in processing massive image data, an image retrieval method based on wireless communication network is proposed. Based on the salient area and wireless communication network combined with the hash method to extract local CNN features, simulate INRIA Holidays Data set and Oxford Buildings Data set, and calculate the accuracy and recall rate of search results based on the returned results of tourist attractions pictures. This article designs an experiment to verify the accuracy and recall rate of search results. By comparing the feature hash function to generate the hash code and the Hamming distance between each hash code in the image library, the image is queried, and the final search result is obtained: The more searches, the lower the accuracy and recall rate. This also proves to a certain extent that the CNN feature extraction technology can be used for travel image search, improving the search accuracy by 20%.The wireless communication network is still of great significance to the future social development. It is necessary to conduct in-depth research, not only the image retrieval of tourist attractions proposed in this article but also the potential value of wireless communication networks from multiple angles and more comprehensively.
Data Anonymous Authentication for BIoMT with Proxy Group Signature

Along with the increase of wearable medical device, the privacy leakage problem in the process of transmission between these edge medical devices. The blockchain-enabled Internet of Medical Things (BIoMT) has been developed to reform traditional centralized medical system in recent years. This paper first introduces a data anonymous authentication model to protect user privacy and medical data in BIoMT. Then, a proxy group signature (PGS) scheme has been proposed based on lattice assumption. This scheme can well satisfy the anonymous authentication demand for the proposed model, and provide anti-quantum attack security for BIoMT in the future general quantum computer age. Moreover, the security analysis shows this PGS scheme is secure against the dynamical-almostfull anonymous and traceability. The efficiency comparison shows the proposed model and PGS scheme is more efficient and practical.
Application of Educational Decision based on Artificial Intelligence in Subject Construction

Artificial intelligence decision is the most commonly used method to deal with AI conflict. The advantages brought by AI are efficiency, accuracy, science and coordination. Educational decision is the process of behavior design and decision carried out by educational administrative departments, institutions or individuals in order to achieve specific educational goals. Taking computer science as an example, this paper gives the application of artificial intelligence decision making in the field of education, and summarizes the ideas of educational decision making based on specific courses and the actual construction process and conclusions.
Імідж і професійне зростання педагога в сучасних умовах суспільства

International scientific conference «Innovative projects and programs on psychology, pedagogy and education» : conference proceedings, December 10–11, 2021. Riga, Latvia : “Baltija Publishing”, 2021. 212 pages.
Learning Design Cooperative Learning Inside-Outside Circle in Indonesian Language Lessons at Madrasah Ibtidaiyah: A Literature Review

The writing of this article aims to find out the design of the inside-outside circle cooperative learning learning design, namely, 2. The advantage of the Inside Outside Circle technique is that there is a clear structure and allows students to share with different partners briefly and regularly. In addition, students work with fellow students in a cooperative atmosphere and have many opportunities to process information and improve communication skills. The steps for the design of the inside-outside circle cooperative learning technique in Indonesian lessons are that half of the students form a small circle facing out, the other half form a large circle facing in, students facing each other share information simultaneously, students who are in the outer circle rotate then share information with their (new) friends in front of them, and so on.This research method uses the library method by analyzing various books and journals related to the application of the Inside-Outside Circle cooperative learning technique. The conclusions concluded that: 1. learning techniques with the system of inner and outer circles (Inside-Outside Circle) where students share information with each other at the same time with different pairs briefly and regularly.2. The advantage of using the IOC method is that students will easily get different and varied information at the same time. Meanwhile, the steps for implementing the inside-outside circle cooperative learning design in Indonesian lessons are: as follows: 1) The first step, half the class stands in a small circle and faces out. 2) The second step, the other half of the class forms a circle outside the first circle and faces inward. 3) The third step, then two students in pairs from small and large circles share information. This information exchange can be done by all partners at the same time. 4) The fourth step, students in the small circle stay in place, while students in the large circle move one or two steps clockwise, so that each student gets a new partner. 5) The last step, it is the turn of students who are in the big circle to share information. And so on.&#x0D; Keywords: cooperative learning, Inside Outside Circle, Indonesian Lesson, speaking skills
Discuss the differences in economic development and policies for Niger and Norway

Economic development is an important indicator of a country's progress. A high degree of development shows the happiness of the country's people, the development of the industrial aspect, and the improvement of the social level, while a low degree of development shows the opposite. In order to propose some recommendations for Niger and Norway that are relevant to their national context, we start with the analysis of their economic development. We start with the analysis of the reasons for the differences in their economic development and end with the proposed policies.
Pronunciation Error Analysis on 4th Semester Students of English Education in IAIN Takengon

&lt;p class="abstrak" align="center"&gt;&lt;strong&gt;Abstrak &lt;/strong&gt;&lt;/p&gt;&lt;p class="abstrak"&gt;&lt;em&gt;Pelafalan masih menjadi tantangan bagi guru dan siswa dalam belajar bahasa Inggris. Penelitian ini bertujuan untuk menganalisis kesalahan mahasiswa saat melafalkan bunyi vokal dan konsonan dalam bahasa Inggris. 14 mahasiswa TBI semester 4 IAIN Takengon menjadi object penelitian ini. Penulis menggunakan metode penelitian deskriptif kualitatif dengan studi kasus. Data diambil dari presentasi berbicara mahasiswa, di mana mereka memiliki tugas untuk mempresentasikan topik yang mereka sukai dan penulis mencatatnya. Data dianalisis dengan menggunakan prosedur analisis kesalahan, mengidentifikasi kesalahan dan menggambarkan kesalahan. Penulis menemukan bahwa kesalahan terbanyak yang dibuat oleh siswa terjadi pada vokal dengan 66 kesalahan sedangkan pada konsonan dengan 41 kesalahan. Jumlah kesalahan vokal tertinggi muncul pada bunyi /&lt;/em&gt;&lt;em&gt;ә&lt;/em&gt;&lt;em&gt;/ dengan 8 kesalahan atau 57,1%. Sedangkan pada konsonan, kesalahan terbanyak terjadi pada bunyi /v/ dengan 11 kesalahan atau 78,5% dari total kesalahan.&lt;/em&gt;&lt;/p&gt;&lt;p class="abstrak"&gt;&lt;strong&gt;&lt;em&gt;Kata Kunci: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;Error, pronunciation, analysis&lt;/em&gt;&lt;/p&gt;&lt;p class="abstrak" align="center"&gt;&lt;strong&gt;Abstract&lt;/strong&gt;&lt;/p&gt;&lt;p class="abstrak"&gt;&lt;em&gt;Pronunciation is still become a challenge for teacher and learners in English. This study aims to analyze students’ error while pronouncing the English vowels and consonants. 14 students of TBI 4&lt;sup&gt;th&lt;/sup&gt; semester in IAIN Takengon were the participants of this study. The writer applied descriptive qualitative with case study as the method of research. The data were taken from students’ speaking presentation, where they have task to present the topic they like and the writer recorded it. The data were analyzed by using error analysis procedure, identifying the error and describing the error. The writers found that the most error made by the students occurs in vowel with 66 errors while in consonants with 41 errors. The highest number of errors in vowels appears in sound /&lt;/em&gt;&lt;em&gt;ә&lt;/em&gt;&lt;em&gt;/ with 8 errors or 57.1%. While in consonants, the highest number of errors occurs in sound /v/ with 11 errors or 78.5% from the total errors. .&lt;/em&gt;&lt;/p&gt;&lt;p class="abstrak"&gt;&lt;strong&gt;Keywords:&lt;/strong&gt; Content, Formatting, Article.&lt;/p&gt;