Reviewerly/exHarmony huggingface dataset:
Probabilistic Fault Identification Based on Maximum Likelihood Method in Distribution Networks

Fault identification is a vital function of advanced applications in distribution networks. This paper proposes a method for clustering fault types using von Mises-Fisher(VMF) distribution and using Maximum Likelihood Estimation(MLE) for fault identification. First, when a fault occurs, sampling is performed at a fixed update time, the three-phase voltage phasors are calculated by the DFT algorithm, and the typical fault vectors are extracted to form a vector set. The obtained vector set will be used as a training set for the vMF model, According to different fault types, a variety of single vMF models are formed, and then multiple single models are formed into a mixture of vMF model. The MLE method is used to solve the parameters of the model, and fault identification is realized by using the method of probability. Finally, the simulation results show that the method proposed in this paper can obtain reliable identification results under different fault conditions.
Defending against Thru-barrier Stealthy Voice Attacks via Cross-Domain Sensing on Phoneme Sounds

The open nature of voice input makes voice assistant (VA) systems vulnerable to various acoustic attacks (e.g., replay and voice synthesis attacks). A simple yet effective way for adversaries to launch these attacks is to hide behind barriers (e.g., a wall, a window, or a door) and give unauthorized voice commands without being observed by legitimate users. In this work, we develop an automated, training-free defense system that can protect VA systems from such thru-barrier acoustic attacks. Our study finds that acoustic signals passing through the barriers generally present a unique frequency-selective effect in the vibration domain. Thus, we propose to devise a system to capture this unique effect of barriers by leveraging low-cost, cross-domain sensing available in users’ wearables. The system replays the audio-domain signals with the wearable’s speaker and captures the conductive vibrations caused by the audio sounds in the vibration domain via the built-in accelerometer. To improve the proposed system’s reliability, we develop a unique vibration-domain enhancement method to extract the phonemes most sensitive to the frequency-selective effect of barriers. We identify effective vibration-domain features that capture the barriers’ effects in the vibration domain. A 2D-correlation-based method is developed to examine the speech similarity between the recordings from the VA system and the user’s wearable and detect thru-barrier attacks. Extensive experiments with various barriers and environments demonstrate that the proposed defense system can effectively defend random, replay, synthesis, and hidden voice attacks with less than 4% equal error rates.
Web technology in developing countries: The pathway for academic libraries in Nigeria

This paper surveyed the impact of Web developmental stages on academic libraries in Nigeria. Literature regarding technological advancements in Web developmental stages with the associated innovations in library services were collected and utilized for the paper. The literature was provided a baseline data for the paper. Library services which could leverage on information communication technology (ICT) were identified. The paper highlighted the technological innovations and tools associated with each Web developmental stage and outlined how these could be adopted and integrated into the mainstream of library operations in-order to ensure improved service delivery especially in academic libraries. It concluded that technology has proven to be the future of information management and dissemination. It, therefore, urged librarians/libraries to embrace technologies and move with the trend in the information industry. The paper recommended the incorporation of computer science in library schools to train librarians who are ICT-competent to drive the course of ICT-compliant libraries.
CATALOG AS A FORM OF REPRESENTATION OF UKRAINIAN CHILDREN'S PERIODICALS OF THE 1920'S - EARLY 1940'S OF THE XX CENTURY FROM THE FUND OF THE V. SUKHOMLYNSKYI STATE SCIENTIFIC AND PEDAGOGICAL LIBRARY OF UKRAINE

The information review of the recently published catalog "Ukrainian children's periodicals of the 20s – early 40s of the 20th century in the fund of the V. Sukhomlynskyі State Scientific and Pedagogical Library of Ukraine", in which an array of Ukrainian periodicals for children of the mentioned chronological period is comprehensively presented as part of the source complex on the history of education, upbringing, pedagogical thought, children's literature to enrich the source base of scientific studies is done in article. The state of research of children's periodicals is analyzed. The updating of the arrangement of reference and bibliographic publications are determined.The purpose of the article is definition of the structure, thematic range, and information content of the catalog, which systematizes bibliographic information about 9 children's magazines: "Little Bolsheviks" ("Bilshovycheniata"), "Be alert!" ("Bud Napohotovi! "), "Happy team" ("Vesela Bryhada"), “Children’s movement” (“Dytiachy Rukh”), "A friend of children” ("Druh Ditey"), "October shoots" ("Oktiabrskie vskhody"), "Pioneria", "Red Flowers" ("Chervoni kvity"). Information certificates about the investigated journals are created. Their content is analyzed. The characteristic and specific features are determined. It was established that the informational content of the publications presented in the catalog illustrates the influence of ideological propaganda on the education of a person in the Soviet era, the formation of a citizen's personality in the conditions of one-sided coverage of the events of social-political and public-cultural life.The importance of the catalog in the information provision of scientific studies for the objective coverage and rethinking of the history of education in the Soviet period is argued. Further prospects for popularization of the catalog and creation of digital content of the magazines presented in it are described. The article is supplemented with systematized information about the availability of children's magazines by year and number in the fund of the V. Sukhomlynskyі State Scientific and Pedagogical Library of Ukraine.
Yi Characters Online Handwriting Recognition Models Based on Recurrent Neural Network: RnnNet-Yi and ParallelRnnNet-Yi

As the sixth largest minority language in China, the Yi language is used by 8 million people and records the development of human civilization. Deep learning has been widely used and effective in mainstream characters' recognition, but there are few achievements in recognition of Yi characters, particularly online handwriting recognition. Most of the Yi strokes are curved, and the writing is irregular. Consequently, there are some problems, such as arbitrarily change for the writing order, multiple strokes concatenated or abbreviated, stroke position offset, and so on. Due to different sample collection equipment, there is also dimensional diversity and sampling frequency diversity between sample collection devices, which will bring more significant interference to the identification. In this paper, we construct a Yi online handwriting recognition database and propose two Yi online handwriting recognition models based on different usage scenarios: RnnNet-Yi (for high accuracy requirements) and ParallelRnnNet-Yi (for resource-constrained lightweight requirements), merging deep learning and feature extraction methods. The experimental results verify the effectiveness of the models proposed in this paper in upgrading the accuracy and training speed of Yi online handwriting recognition, which fills the gap in Yi online handwriting recognition research.
The Digital Divide in Education - Macrocultural Comparative Analysis between Ireland and Romania

The past decades have presented societies with numerous challenges which have resulted in profound changes in how society operates. The technological revolution, globalization, and the Sars-Cov2 pandemic are examples of global events that have accelerated the need for digitization. A shift towards remote education arising from the Sars-Cov2 pandemic has facilitated a greater uptake in enhanced remote learning options. However, a greater reliance on remote learning technologies has resulted in a widening of the digital divide, primarily due to existing inequalities specific to communities. In order to analyze comparatively the interest of the Romanian and Irish community towards education and technology, we studied the advertisements paid on the social platform Facebook during the pre-pandemic period, during the pandemic and after it. The resulting figures were interpreted from the perspective of the macroeconomic characteristics of the two communities.
Graduate studies in acoustics at the University of Nebraska – Lincoln within the College of Engineering

Those interested in pursuing graduate studies and conducting research in acoustics are invited to learn more about opportunities at the University of Nebraska – Lincoln (UNL) within the College of Engineering. Dr. Lily Wang and Dr. Erica Ryherd work on architectural acoustics and noise control topics (http://nebraskaacousticsgroup.org ) within the Durham School of Architectural Engineering and Construction, based at UNL's Scott Campus in Omaha. Dr. Jinying Zhu in Civil and Environmental Engineering (also based on UNL’s Scott Campus in Omaha) is active in structural acoustics, using ultrasonic waves for concrete evaluation (https://engineering.unl.edu/cee/faculty/jinying-zhu/). Dr. Joseph Turner in Mechanical and Materials Engineering (based at UNL’s City Campus in Lincoln) focuses on ultrasound propagation through complex media for quantitative characterization of materials/microstructure (http://quisp.unl.edu ). This poster presents the graduate-level acoustics courses and lab facilities at UNL within the College of Engineering, and highlights the research interests and achievements of our faculty, graduates, and students. Extracurricular experiences are available through an Acoustical Society of America student chapter based on the Scott Campus and collaborations with Boys Town National Research Hospital.
Impact of Online Teaching on Motivation to Learn

The Covid 19 pandemic has changed all spheres of both private and public life. It has not spared education either. Varna Medical University quickly reorganised and mobilised new technological and human resources. The present survey examines how online teaching during pandemic affects students’ motivation to study and learn. The theoretical formulation is based on the idea of the students’ social learning and typologization, depending on their expectations of the training process. An inquiry card was set up, and a survey of forty nurse and midwifery students at the Veliko Tarnovo Subsidiary of Varna Medical University was conducted. The snapshot reveals that online training is a challenge to the students and requires a new attitude and skills to structure time.
The Role of Information and Communication Technology in Supporting Economic Development With Special Reference to Iraq

The spread of information and communication technology has been linked to economic development due to the new development benefits that it has provided in terms of means and technologies and the services it is characterized by.This has led to the consideration of information and communication technology as one of the basic pillars for achieving economic development in the era of the digital economy.Therefore, the research aimed at highlighting the role of information and communication technology in economic development and standing on the most important development gains achieved under it, studying the role of information and communication technology in promoting development in the Iraqi economy.The research emphasizes that information and communication technology has great potential in achieving economic development that the Iraqi economy can benefit from and strengthening its development efforts.
Clays and Carbonates Absorption Bands for Heavy Metal Content Prediction Around the Abandoned Mine of Jebel Ressas in the North of Tunisia

Heavy metal contamination is a worldwide environmental safety issue, directly threatening ecosystem security and human health, especially near abandoned mines. Reflectance spectroscopy has proven its capabilities for the identification and the prediction of the toxic metals. The current study evaluates the performance of field hyperspectral spectroscopy for lead (Pb), Zinc (Zn) and cadmium (Cd) heavy metal contents in soils around the Jebel Ressas mine site in the north of Tunisia. A total of fifty-two soil samples were collected and surface reflectance was measured in situ. Continuum removal (CR) method was used as a normalization function to determinate spectral characteristics. The linear regression method was used to correlate the spectral absorption depth of both bands at 2202 nm and 2338 nm, related respectively to clays and carbonates, with heavy metal contents, which were determined by geochemical analysis. Results indicated that the prediction was of greater accuracy and appear sensitive to spectral characteristics of clay and carbonate absorption features.
Covariance Controlled Bayesian Rose Trees

This paper aims to present a modified version of Bayesian Rose Trees (BRT). The classical BRT approach performs data clustering without restricting the resulting hierarchy to the binary tree. The proposed method allows for constraining the resulting hierarchies on the basis of additional knowledge. Thanks to this modification, it is possible to analyse not only the raw structure of the data but also the nature of a cluster. This allows an automatic interpretation of the resulting hierarchies while differentiating between clusters of different magnitudes, or those that extend significantly through one pair of dimensions while being coherent in a different one. On the basis of the resulting modifications, it is possible to analyse the depth level as a function of likelihood. The developed method allows maximising customisation possibilities and comparative analysis between the nature of clusters. It can be applied to the clustering of different types of content, e.g. visual, textual, or in a modern approach to the construction of container databases.
Aggregated Performance Measures for Multi-class Classification

This paper aims to present an approach to generalisation of performance measures commonly used in binary classification to the field of multinomial classification to use them in hyperparameter estimation for various machine learning methods and similar techniques. The classical approach is to use a binary classification wherein each representative of any incorrect class is considered as a representative of an umbrella class being a union of all incorrect classes. Such an approach leads to the removal of important information from the classification process and therefore to the lower value of each experiment for the determination of the gradient when trying to optimise hyperparameters. We propose aggregated performance measures that can be thought of as an analogue of classical ones. The proposed measures better represent the multinomial nature of such algorithms and obtain more valuable information that allows selecting the correct direction while analysing the gradient of the resulting measures.
KEMAMPUAN PENGGUNAAN HURUF KAPITAL DALAM MENULIS KARANGAN BERDASARKAN POKOK PIKIRAN PESERTA DIDIK KELAS V SDN BALUNGKIDUL 02 JEMBER

The purpose of this study was to describe, to determine the factors that influence, and to find out the efforts to increase the ability to use capital letters for fifth grade students at SDN Balungkidul 02 Jember in writing essays based on the main idea. This research uses interview and documentation method. The results and conclusions of this study is that the average value of the ability to use capital letters is 9 or 33% belonging to the sufficient category. These results are influenced by factors of student interest in reading, use of learning tools and media, encouragement from parents and the level of intelligence of students. Furthermore, efforts were made to improve by means of teachers using multimethods in learning, teachers guiding students gradually, teachers providing motivation and encouragement to students, and the family environment providing motivation and encouragement for students
Macro and Micro Level Analysis of Indonesian Business E-mail Written By Minangkabau and Javanese Speakers

The comparison of the approach totally different individuals with different language backgrounds adopt the Indonesian in their e-mails will yield useful findings and may illuminate the extent to that the e-mail messages or influenced by the interlingual and intercultural transfer. This analysis aims to explain the interrelatedness among genre analysis of Indonesian business e-mails written by Minangkabau and Javanese Speakers. The method used descriptive qualitative. The information was obtained from ten business e-mails written by Minangkabau (five business e-mails) and Javanese Speaker (five business e-mails) and analyzed those supported 2 major stages, namely: macro-level and micro-level analysis consistent with Santos (2002). The results obtained from this analysis were Minangkabau speaker had additional complete structure than Javanese speaker. Because, in business e-mails written by Minangkabau had additional complete in move than Javanese speakers. And in lexico-grammatical options, the Javanese prefer to use proper noun, and therefore the Minangkabau prefer to use function word “you”.
Iraqi EFL University Learners' Performance in Key Phonetic Processes

This study aims at investigating Iraqi EFL university students' use of phonetic processes concerning their performance (recognition and production) of phonetic processes, that is to say, the research focuses on those learners' cognitive and productive abilities when using phonetic processes of English. As a consequence, one hundred 4th year students, as a representative sample, are subject to a questionnaire exclusively prepared for this purpose with the hope of discovering their performance in this concern. Since phonetic processes are a daunting challenge and insurmountable problem for all foreign learners, including Iraqi EFL learners, this research emphasizes the learners' performance (recognition and production) in this regard. Accordingly, the problem so far identified is to be discussed thoroughly and the findings of this work will be of use for foreign learners of English in general. The current research is first approached theoretically by drawing upon phonetic and phonological differences in conjunction with the key phonetic processes and discussing their peculiarities with respect to the way linguistic forms are pronounced. Later on, a test is conducted to detect the learners' abilities to use the phonetic processes when producing English forms. At last, the research terminates with an appendix containing the questionnaire that involves the questions designated for this end and arrived at some conclusions in this regard.
Wavelet-Based Order Independent Transparency

Rendering transparent objects in real-time is an important factor in improving the realism of the game screen. In order to improve the speed of rendering transparent objects while maintaining the quality, an order-independent transparency (OIT) rendering algorithm is proposed which uses wavelet series to reconstruct the transmittance of transparent objects. Firstly, all transparent fragments corresponding to each pixel are obtained by rasterization when rendering transparent objects. Then, according to the depth value, the absorption rate of the transparent fragments is projected to the wavelet scaling function, and the coefficients are calculated and accumulated to get the information needed to reconstruct the transmittance function per pixel. Finally, the wavelet coefficients saved at the pixel are taken out to reconstruct the transmittance function, and the transmittance is calculated by substituting the depth value to the reconstructed function. And the color of the fragment is accumulated to the final pixel according to the transmittance. The experiment uses transparent Utah teapot, Stanford dragon and other data to test on the GTX 980 graphics card. The results show that compared with the moment-based OIT algorithm, our algorithm has an efficiency improvement of about 10% to 40% in different scenes. Taking the OIT algorithm based on the concurrent linked list as ground truth, the root mean square error (RMSE) of the rendering results in this paper are no more than 1.5%.
A Zero-Day Cloud Timing Channel Attack

The Intrusion Detection and Prevention System (IDPS) services of a North American cloud service provider were ineffective against a simulated network timing channel attack. During the tests, three conspiring white hat agents exchanged a total of 33,024 network packets. As the proxy based attack executed, the vendor’s intrusion detection service did not generate a warning, nor did its intrusion prevention service drop packets. Throughout the experiment, 4,096 bytes of randomized data (simulating covert traffic) were exchanged over a 2.06 hour period (4.4 bits-per-second); however, the vendor’s Artificial Intelligence (AI) enabled threat detection service did not issue an alert. A Wilcoxon Ranked Sum test on the before-and-after throughput confirmed none of the vendor’s countermeasures triggered/intervened to a statistically significant degree (threat intel: <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</i> = 0.703, IDPS: <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</i> = 0.998, threat intel + IDPS: <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</i> = 0.118). These results indicate those accountable for data-oriented Service Organization Control (SOC) 2/3 reports (e.g., auditors, cybersecurity executives, etc.) should carefully examine the assurances offered by cloud service providers with regard to their network steganography defenses.
PERSUASIVE COMMUNICATION USED BY INSURANCE AGENTS OF SELLING PROSPECT IN PRESTASI AGENCY BINJAI

The persuasive language used by agents is able to change the thoughts and feelings of the prospective customer until the opinion that conveyed by the agent is carried out reaches its main purpose, closing. The researcher sees a phenomenon among agents where they have offices in the same place, then have the same coach and training model, but in the end of the day the results seen from their sales figures vary from one another. This research aims to analyze what persuasive strategies are used in sales and the relationship between persuasive language and speech acts. The theories used in this research are pragmatics and communication. Speech acts in this research used as the support theory of the pragmatics. The researcher used qualitative research methods to analyze the data. The result, the researcher got 14 data in analysis of persuasive strategies and illocutionary act. There are, 6 data of enhancing credibility, 4 data of using logic and evidence to persuade and 4 data of using emotion to persuade. The researcher found the most frequently used strategy is Using logic and evidence and Enhancing credibility with competence. From the analysis the researcher also found there two sales methods, soft selling and hard selling.