Reviewerly/exHarmony huggingface dataset:
Automatic Recognition of the Lighting Whistler waves from the Wave Data of SCM Boarded on ZH-1 satellite

&amp;lt;p&amp;gt;Lightning whistlers, found frequently in electromagnetic satellite observation, are the important tool to study electromagnetic environment of the earth space. With the increasing data from electromagnetic satellites, a considerable amount of time and human efforts are needed to detect lightning whistlers from these tremendous data. In recent years, algorithms for lightning whistlers automatic detection have been conducted. However, these methods can only work in the time-frequency profile (image) of the electromagnetic satellites data with two major limitations: vast storage memory for the time-frequency profile (image) and expensive computation for employing the methods to detect automatically the whistler from the time-frequency profile. These limitations hinder the methods work efficiently on ZH-1 satellite. To overcome the limitations and realize the real-time whistler detection automatically on board satellite, we propose a novel algorithm for detecting lightning whistler from the original observed data without transforming it to the time-frequency profile (image).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The motivation is that the frequency of lightning whistler is in the audio frequency range. It encourages us to utilize the speech recognition techniques to recognize the whistler in the original data \of SCM VLF Boarded on ZH-1. Firstly, we averagely move a 0.16 seconds window on the original data to obtain the patch data as the audio clip. Secondly, we extract the Mel-frequency cepstral coefficients&amp;amp;#160;(MFCCs) of the patch data as a type of&amp;amp;#160;cepstral&amp;amp;#160;representation of the&amp;amp;#160;audio&amp;amp;#160;clip. Thirdly, the MFCCs are input to the Long Short-Term Memory (LSTM) recurrent neutral networks to classification. To evaluate the proposed method, we construct the dataset composed of 10000 segments of SCM wave data observed from ZH-1 satellite(5000 segments which involving whistler and 5000 segments without any whistler). The proposed method can achieve 84% accuracy, 87% in recall, 85.6% in F1score.Furthermore, it can save more than 126.7MB and 0.82 seconds compared to the method employing the YOLOv3 neutral network for detecting whistler on each time-frequency profile.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Key words: ZH-1 satellite, SCM,lightning whistler, MFCC, LSTM&amp;lt;/p&amp;gt;
Development of XYZ University's Student Admission Site Using Waterfall Method

The purpose for this research is to make a blueprint of State University Of Jakarta website for admission of new students. This site using RestFul API Web Service technology that split in between data processing logic system and user interface so that if the system are in development, developer no need to rebuild or reorganize the whole part of system. The research done at Information and Technology Center (PUSTIKOM) University of XYZ on February until May 2016. Developing method that used are software method development. i.e. spiral development method. Overall there’s 3 main stages of this research and development. There are (1) early research; (2) product development; (3) test and revision of the product. Early research done for identify the problem and search the easy solution for solve that matter. Testing process for the prototype of the product done with media expert test. Data collecting process done by using questionaire which then analyzed with desciptive and quantitative technique. Based on research, testing result show that prototype have 100% score on Validation Test. Based the test result, the blueprint of University Of XYZ website for admission of new students that have been developed declared eglible for use as a milestone of admission of new students system for University of XYZ in a next year.
Automatic Identification of Dataset Names in Scholarly Articles of Various Disciplines

Although the number of freely accessible scholarly articles is increasing, it is difficult for non-experts to understandthem since they are written for experts and require background knowledge. Our big goal is to facilitate open innovation based on scholarly articles, developing methods to automatically extract essential elements in them. Once we could understand articles, they would be primary resources for institutional research. To this end, this paper is devoted to developing automatic identification of datasets in articles. Because a dictionary of datasets is necessary for evaluation, existing methods focused on some specific discipline. To achieve applicability to any disciplines, a machine learning approach with huge amounts of papers is adopted. Treating papers in multi-disciplines, the authors are not familiar with all dataset names in them. Therefore we quantitatively evaluate experimental results with precision@N, which does not require to know all the datasets in the papers, and qualitatively check if candidate tokens are dataset names or not using a GUI tool we have developed. Experimental results show precision@N is 0.450 and nDCG is 0.458. However, outputs include names of methods and software. It is an importantfuture work to remove these noise tokens.
A Novel Digital Watermarking Technique for Video Copyright Protection: An Advanced Study

Protecting digital data is becoming increasingly important due to the rapid growth of the internet and technology.A novel watermarking technique is proposed in this paper, which involves embedding both visible and invisible watermarks in a video.Since digital data can be easily replicated without loss of quality, it is important to protect the data. Digital watermarking is a technique for embedding additional information into the host signal to ensure multimedia data security and privacy.Since both watermarks are present in the video frames, it is more resistant to attacks.The watermarking scheme listed here deals with watermark embedding and extraction. The invisible watermark is embedded using the Discrete Wavelet Transform (DWT), and the Peak Signal to Noise Ratio (PSNR) is measured to assess the method's efficacy.The visible watermark is embedded using compound mapping, which improves the video's robustness.
An improved vigener algorithm based on circular-left-shift key and MSB binary for data security

Cryptography is a significant study area at present since it can be vital to protect exceedingly sensitive and secret information from illegal fraud during network transmission. One of the basic cryptographic algorithms is the Vigenere cipher, which is a very easy encryption method to be used as an alternative to Caesar cipher for encrypting the text of the message. In this paper, we enhance the Vigenere algorithm and propose a new method by shifting the key in each message to prevent repeating the messages. Also, it converts the messages into binary form rather than an alphabet. Furthermore, it adds a few bits of random padding to each block of outputs to send a series of bits. The proposed algorithm is named “Circular-Left-Shift Key-based Vigener Algorithm using MSB Binary (CLS-V-MSB)”. Finally, this technique slightly raises the size of the ciphertext, but substantially increases the cipher's protection, achieves the security objectives (authentication, confidentiality, integrity, freshness, and non-repudiation), and avoids Kasiski and Friedman.
PROMOTING GRAMMATICAL AWARENESS IN ENGLISH LANGUAGE TEACHING: ESP CONTEXT

Recently, English Specific Purposes is taking a crutial issue to be considered. Since the implementation of ESP is apropriate to the need of its studies, the English skills which required by students is getting growth. Indeed, grammar as one of language components which supports the language skills also changing as its usage. However, the implementation of the grammar usage in ESP, is not really proper to its context. This paper presents the possibilities factors behind its unproper usage and also some activities which raises students’ grammar awarenes . By knowing more about those issue will not only help the teacher to lead the students more effectively and properly in using the grammar, but it will also provide the teacher with a means of evaluating the teaching learning process and help the teacher to produce activities that will actually motivate the students to learn. Keywords: Grammatical Awareness, ESP, English Language Teaching
Distance Learning In The Universities Of The Republic Of North Ossetia-Alania

The transition to distance learning in higher education during the 2020 pandemic became a new stage in the development of this education model in Russia.Distance learning and the creation of a digital educational environment as priorities for the modernization of the educational process have both federal and regional dimensions.The purpose of this study is to analyze the practice of using distance learning technologies in the universities of North Ossetia in the period from March to June 2020 and to develop proposals for enhancing the potential of distance learning in the region.The authors conducted a sociological study in June 2020 by the method of formalized interviews with 35 students and 19 teachers of the North Ossetian State University, the North Caucasian Mining and Metallurgical Institute and the Vladikavkaz Institute of Management.In the course of the study, some of the already known advantages and disadvantages of distance learning technologies were confirmed.At the same time, general and specific assessments of the potential and prospects for the development of distance learning were identified and formulated in the opinion of the main participants-students and teachers.The comparison of assessments of the respondents on the effectiveness of distance educational technologies enables deeper understanding of the main problems of distance learning and clearer view on the prospects of its development.In particular, distance learning, which provides for the cooperation of several universities in the republic, can improve the quality of education.
Assessing Blockchain In Supply Chain Management

Blockchain technology which is establishment of bitcoin, has been used in numerous fields with its fast development resulting in the beginning of new innovation. Supply chain data is not always noticeable, accessible or trusted. Supply chains contain complex networks of suppliers, manufacturers, distributors, retailers, auditors, and consumers. A blockchain's shared data innovation foundation would modernize work processes for all gatherings; it doesn't make a variation in the size of the business organization. Furthermore, a shared framework would give examiners more noteworthy visibility into participantsâ€™ activities along the block chain. Blockchain in Supply Chain Management empowers simple execution of safer and straightforward tracking of all kinds of transactions pertaining to areas such as product traceability, supplier payments, logistic transaction details, contract bids, and execution. This paper is a survey on blockchain in supply chain management. This paper focuses on the benefits of applying blockchain in supply chain management. It also discusses the issues faced in supply chain management and existing work in the related area.
Penerapan Metode Promethee Pada Rekomendasi Prasarana Aset Irigasi

Irrigation is the use of water in agriculture to divide water into agricultural land, this is one of the factors that support the success of plant productivity. The success rate of implementing the irrigation function is measured from the performance of the existing irrigation system, so it is necessary to conduct an irrigation performance assessment. Performance appraisal based on Permen PU No. 32/2007 is carried out on 6 (six) parameters, namely; Physical Infrastructure, Planting Productivity, Supporting Facilities, Personnel Organization, Documentation and Water User Farmer Association (P3A). Currently, performance appraisal still depends on the experience of field officers or observers. For that we need a method that can measure the performance assessment of irrigation networks. One method that can be used to assess the performance of irrigation networks is by using the Promethee method which aims to reduce subjectivity with the method used by the center which is based on the PUPR Regulation No. 12 / PRT / M / 2015 concerning Guidelines for Exploitation and Maintenance of Irrigation Networks. The input data used is secondary data from the results of the irrigation network performance assessment in 2017 in several Irrigation Areas which still cover the work area of the Irrigation Management UPT Bah Bolon, Dinas Sumber Daya Air, Cipta Karya and Tata Ruang in Sumatera Utara province. The final results of the tests carried out on 14 alternatives and 6 criteria show that the alternative DI. Bah Kapul (179 Ha) (Code A005) is in the first rank with the highest net flow value of 0.9048 while the 14th or last rank is occupied by the alternative DI. Javacolonisasi / Purbogondo (1,030 Ha) (Code A009) with a net flow value of -1.4286.
Studying the Speсifiсs of Distаnсe Eduсаtion Using а Synergetiс Approасh to Leаrning

This article discusses the specifics of distance learning using a synergetic approach to education. Because today, one of the new areas that are closely related to the goals of methodological, pedagogi- cal, didactic training and developmental education is synergetics. Synergetics performs a key function in ensuring the development and promotion of the entire human being as an intellectual and biological ob- ject. This indicates that it is at the forefront compared to other industries, synergetics performs and imple- ments human behavior and its tracking and targeted activities. This function of synergetics-in the process of learning, it reveals parallels between different phenomena. Working remotely using a synergistic ap- proach, groups of teachers use various online platforms for asynchronous, synchronous communication. Google Docs and spreadsheets, open for sharing in group work, are very convenient. They allow you to work at the same time, write reviews of works and improve. Thanks to this, teachers support each other and gain experience in distance learning and learning. The joint activity of teachers in the planning and control of lessons will contribute to the selection and dissemination of effective pedagogical practices for distance learning using a synergistic methodology. Key words: synergetics, distance learning, Case technology, asynchronous, Synchronous learning.
COLOR BLIND DETECTION AT STUDENTS GORONTALO STATE UNIVERSITY

One of the disorders that occur in the eye is color blindness. Color blindness is a condition where one can not distinguish a certain color that can be distinguished by a person with a normal eye. The purpose of this study was to find out whether the probandus tested suffered from color blindness. This research uses observation method that is collecting data by performing observation and direct documentation on matters relating to color blind test, so that obtained a clear picture about the object under study. Data analysis is done by using descriptive method. The results show that from 97.5% test probandus can read numbers and colors and 2.5% have color blindness and are included in partial color blindness. Conclusion in this research that some probandus have been tested by ishihara method have normal eye and partial partial blindness probandus.
Validation Rules for Blockchain Research International Workshop on Scholarly Blockchain Research Priorities

In December 2018, we organised a two-day workshop dedicated to blockchain scholarly research. The workshop brought together teams from four different projects: the Blockchain&Society Policy Research Lab from Amsterdam, P2P Models from Madrid, MoneyLab from Amsterdam, and Weizenbaum Institute’s Trust in Distributed Environments research group from Berlin. The workshop’s overall goal was to incite interactions between the projects, to explore common research possibilities intersecting between distinct projects, and to provide a breeding ground for discussions on each project’s research focus.In this document we summarize the findings of the workshop. The discussions concluded that (dis)trust in institutions and the abolishment of intermediaries present issues of particular legal, governance and technological interest; knowledge transfer for interdisciplinary scholarly research in these topics is necessary. What's more, decentralized technological infrastructure an cryptocurrencies could be used in the context of commons-based communities. The preconditions, effects, and implications of this model require further attention and empirical research. Finally, translating legal norms into code and creating autonomous governance systems on-chain is a particular research challenge; it is related not solely to smart contract regulation but also to decentralized platforms with potential to create enforceable agreements.
Theses supervised by Prof. Shaaban Abdel Aziz Khalifa: A Bibliometric Study

The present study seeks to collect the scientific theses supervised byProf. Shaaban Abdel Aziz Khalifa in order to identify the numerical and qualitativefeatures of them, and identify the features of the networks of scientific supervisionof the professor. A bibliographic and bibliometric approach was used. The studyused the Egyptian Universities Libraries Catalog in order to collect theses, thedata collected during the period from 15/8/2019 to 20/8/2019.The results of the study showed that there are 269 theses supervised bythe professor. The percentage of female was 59% while the percentage of malewas 41%. The theses supervised by the professor were approved from 12Egyptian universities, Cairo University came first with 25% followed by TantaUniversity, Menoufia and Banha with 15%, 14% and 10% respectively.The first academic theses approved for the professor was in 1986 fromCairo University, the period of time 2013 - 2015 witnessed the largest number oftheses supervised by the professor, which amounted to 21%. The number ofresearchers supervised by the professor reached 215 researchers, 52% of themreceived the master's degree only, while 25% obtained the master's and doctoraldegrees, while the percentage of researchers who obtained the doctoral degreeonly under the supervision of the professor 23%. The percentage of researcherscoming from the Arab world was 12% of the total number of researcherssupervised by the professor.This percentage belongs to eight Arab countries, led by Syria and Libya.Bilateral supervision is the dominant pattern of 73%, while the individualsupervision pattern constituted only 27%. The scientific supervision network ofthe professor consisted of 36 co-supervisors, led by Prof. Tharwat Youssef ElGhalban, Tanta University, followed by Prof. Hasnaa Mahmoud Mahgoub,Menoufia University. Information sources came in the top of the libraries andinformation science axes by 35%, information institutions came in the secondplace with 22%, followed by information technology by 20%, followed byinformation operations and information services by 12% and 11% respectively
A QoE Evaluation of Augmented and Virtual Reality Speech and Language Treatment Applications

The availability of affordable head-mounted displays has resulted in renewed interest in augmented reality (AR) and virtual reality (VR). This in turn has led to research into users’ perceptions of quality in AR and VR environments. In this paper, the authors report the results of an experimental study that compared the user quality of experience (QoE) of an interactive and immersive speech and language assessment implemented in both AR and VR. To the best of the authors’ knowledge, this is the first work that compares user QoE of VR and AR applications, in particular with a focus on applications in the speech and language domain. Subjective and objective data was captured to assess a user’s QoE. Objective data, such as heart rate and electrodermal activity (EDA) was collected using consumer electronic devices such as the Smartwatch biosensor. Subjective data was captured using a user’s self-reported ratings in a post-test questionnaire. The findings of this study demonstrate similar QoE ratings for both the AR and VR environments. The findings also suggest that users acclimatized to the AR environment more quickly than the VR environment.
The Role of “Digital Forensic Photography”- In the Indian Criminal Justice System

Photography is one of the most critical factors in any crime scene solving cases. Crime Scene photography or forensic photography is an important role depending on the crime scene as well as its a photo in the criminal justice system as a scene of crime evidence. In the 21st century all over the world, all respective forensic science authorities used high-resolution camera, lens and modern instrumentation technology to capture crime scene occur photos. Evidence collection and preservation using digital forensic photography is a crucial aspect of a future legal proceeding. In this paper, we summarize the modern aspects of digital forensic photography in the Indian criminal justice system
Robust entanglement preparation through spatial indistinguishability quantified by entropic measure

Initialization of composite quantum systems into highly entangled states is important to enable their use for quantum technologies. However, unavoidable noise in the preparation stage makes the system state mixed, hindering the achievement of this goal. We address this problem in the context of identical particle systems adopting the operational framework of spatially localized operations and classical communication (sLOCC). After a brief description of the formalism, we define the entanglement of formation for an arbitrary state (pure or mixed) of two identical qubits, valid for both bosons and fermions. We then introduce an entropic measure of spatial indistinguishability as an information resource, tunable by the shapes of spatial wave functions. We finally apply these tools to a situation of experimental interest, that is noisy entangled state preparation. We find that spatial indistinguishability, even partial, can be a property shielding nonlocal entanglement from preparation noise, independently of the exact shape of spatial wave functions. These results prove that quantum indistinguishability is an inherent control for noise-free entanglement generation.
Introduction to Blockchain Systems

This chapter presents the background of ledgers and highlighted how distributed ledger technology evolved with the passage of time. We then focus on blockchain (a distributed ledger) and mention features of a blockchain system. To demonstrate the effectiveness of blockchain technology, we present a food supply chain example and use of blockchain in it.