Reviewerly/exHarmony huggingface dataset:
Who Let the $$\mathcal {DOGS}$$ Out: Anonymous but Auditable Communications Using Group Signature Schemes with Distributed Opening

Over the past two decades, group signature schemes have been developed and used to enable authenticated and anonymous peer-to-peer communications. Initial protocols rely on two main authorities, Issuer and Opener, which are given substantial capabilities compared to (regular) participants, such as the ability to arbitrarily identify users. Building efficient, fast, and short group signature schemes has been the focus of a large number of research contributions. However, only a few dealt with the major privacy-preservation challenge of group signatures; this consists in providing user anonymity and action traceability while not necessarily relying on a central and fully trusted authority. In this paper, we present $$\mathcal {DOGS}$$ , a privacy-preserving Blockchain-supported group signature scheme with a distributed Opening functionality. In $$\mathcal {DOGS}$$ , participants no longer depend on the Opener entity to identify the signer of a potentially fraudulent message; they instead collaborate and perform this auditing process themselves. We provide a high-level description of the $$\mathcal {DOGS}$$ scheme and show that it provides both user anonymity and action traceability. Additionally, we prove how $$\mathcal {DOGS}$$ is secure against message forgery and anonymity attacks.
The Library: IT & Digital Skills: Dissertation IT kit

Leeds Beckett University Skills for Learning Topic Guide covering IT and digital skills Leeds Beckett University Skills for Learning guide covering IT and digital skills. This page is about dissertation formatting in Word, tools in Word, Word dissertation guide, dissertation formatting checklist, and Leeds Beckett dissertation template.
Conventional Project Risk Management (PRM) Methodologies

Overview of the conventional PRM methodology is based on the introduction of a PRM system that comprises a PRM context, a PRM process, and PRM tools. Typical PRM process steps to identify, address, assess, monitor, etc risks are reviewed to comply with PRM context (i.e. features and challenges of a project). Main sorts of uncertainties related to risks as possible impacts on project objectives—uncertainties of identification, manageability, assessments of impacts and probabilities, and favourability—are discussed. Key PRM tools to support the PRM context and the process—a PRM plan, a bowtie diagram, a risk breakdown structure (RBS), a risk assessment matrix (RAM), and a risk register—are introduced. A role of psychological and organizational bias as a systematic error in the PRM process is elaborated.
CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information

The entire world is engulfed in the fight against the COVID-19 pandemic, leading to a significant surge in research experiments, government policies, and social media discussions. A multi-modal information access and data visualization platform can play a critical role in supporting research aimed at understanding and developing preventive measures for the pandemic. In this paper, we present a multi-faceted AI-based search and visualization engine, CovidExplorer. Our system aims to help researchers understand current state-of-the-art COVID-19 research, identify research articles relevant to their domain, and visualize real-time trends and statistics of COVID-19 cases. In contrast to other existing systems, CovidExplorer also brings in India-specific topical discussions on social media to study different aspects of COVID-19. The system, demo video, and the datasets are available at http://covidexplorer.in.
A new blind color watermarking based on a psychovisual model

Abstract In this paper, we address the problem of the use of a human visual system (HVS) model to improve watermark invisibility. We propose a new color watermarking algorithm based on the minimization of the perception of color differences. This algorithm is based on a psychovisual model of the dynamics of cone photoreceptors. We used this model to determine the discrimination power of the human for a particular color and thus the best strategy to modify color pixels. Results were obtained on a color version of the lattice quantization index modulation (LQIM) method and showed improvements on psychovisual invisibility and robustness against several image distortions.
Manajemen Kearsipan Di MAN 1 Deli Serdang

This research aims to describe the POAC (Planning, Organizing, Actuating, Controling) of archiving, namely: 1) Describe the process of archiving planning, 2) Describe the process of organizing archives, 3) Describe the process of implementing archives, 4) Describe the process of monitoring records at MAN 1 Deli Serdang. This research was conducted at MAN 1 Deli Serdang which is located in Medan Senembah Village, Tanjung Morawa District, Deli Serdang Regency, North Sumatra Province. The approach in this research uses a descriptive qualitative approach. The informants in this study were the Head of Madrasah, the Head of Administration and his Staff, and the Deputy Head of the School for Facilities and Infrastructure. Data collection techniques use methods, namely the observation method is carried out by the researcher observing and participating directly in the process of implementing, organizing, implementing and monitoring of archiving, interviews are conducted using a list of questions for resource persons according to the researcher's theme, and documentation is carried out by collecting data which has been available in the form of photos, reports or documents. The results of this study indicate that: archive planning includes (1) good archive creation which includes managing incoming mail, outgoing mail, archive retention schedules, and procurement of asip facilities. (2) organizing archives includes the preparation of classification patterns, recording and distribution of archives. (3) implementation of archives includes providing motivation to archive managers, maintaining communication with archive administrators. (4) supervision includes assignment direction to archive management, archive evaluation program, and supervision program after the archive is carried out
Distance Teaching Of Students During Insulation

The purpose of the article is to study the organization of distance learning in Reshetnev Siberian State University of Science & Technology e-learning environment under the regime of isolation to prevent the spread of coronavirus infection (COVID-2019). For the analysis, the results of the main participants of distance learning process – teachers and students online questionnaire are used. The questions that define the levels of distance education: accessibility, convenience, quality, positive and negative sides of distance learning, forms of interaction of students with teachers were proposed by the authors of the study. These characteristics are correlated with basic categories of sociological research. Based on the analysis of literary sources and statistical data, the authors conclude that distance education technologies cannot be limited only to the transition to a virtual environment by replacing the live communication with teachers by means of online courses or create digital copies of textbooks, it is necessary to change the approach to education. Taking the data obtained, we formulated the key directions of transformation of the digital educational environment: the development of digital infrastructure; teachers of new formation training, who are aware of the importance and specifics of digital learning technologies in modern conditions; inventory of specialties and areas of training in which the transition to digitalization is impossible or limited due to their nature; the practical implementation of the concept of lifelong learning.
Designing a Chat-bot for College Information using Information Retrieval and Automatic Text Summarization Techniques

Background:: In the era of information overload it is very difficult for a human reader to make sense of the vast information available on the internet quickly. Even for a specific domain like a college or university website, it may be difficult for a user to browse through all the links to quickly get the relevant answers. Objective:: In this scenario, the design of a chat-bot which can answer questions related to college information and compare between colleges will be very useful and novel. Methods:: In this paper, a novel conversational interface chat-bot application with information retrieval and text summarization skill is designed and implemented. Firstly, this chat-bot has a simple dialog skill; when it can understand the user query intent, it responds from the stored collection of answers. Secondly, for unknown queries, this chat-bot can search the internet, and then perform text summarization using advanced techniques of natural language processing (NLP) and text mining (TM). Results:: The advancement of NLP capability of information retrieval and text summarization using machine learning techniques of Latent Semantic Analysis (LSI), Latent Dirichlet Allocation (LDA), Word2Vec, Global Vector (GloVe) and TextRank is reviewed and compared in this paper first before implementing them for the chat-bot design. This chat-bot improves user experience tremendously by getting answers to specific queries concisely which takes less time than to read the entire document. Students, parents and faculty can get the answers for a variety of information like admission criteria, fees, course offerings, notice board, attendance, grades, placements, faculty profile, research papers, patents, etc. more efficiently. Conclusion:: The purpose of this paper was to follow the advancement in NLP technologies and implement them in a novel application.
Perception Learning For Deep Visuomotor Control Of A Robotic Arm

This thesis studies the problem of estimating the necessary information about the environment in order to make a robotic arm being able to learn autonomously simple control tasks. The state is esti ...
Dragnet Surveillance

This chapter discusses dragnet surveillance, which is the collection and analysis of information on everyone, rather than merely those under suspicion. Dragnet surveillance—and the data it produces—can be useful for law enforcement to solve crimes. Dragnet surveillance widens and deepens social oversight: it includes a broader swath of people and can follow any single individual across a greater range of institutional settings. It is associated with three key transformations in the practice of policing: the shift from query-based to alert-based systems makes it possible to systematically surveil an unprecedentedly large number of people; individuals with no direct police contact are now included in law enforcement systems, lowering the threshold for inclusion in police databases; and institutional data systems are integrated, with police now collecting and using information gleaned from institutions not typically associated with crime control. However, dragnet surveillance is not an inevitable result of mass digitization. Rather, it is the result of choices that reflect the social and political positions of the subjects and the subject matter under surveillance.
The significance of conscious self-regulation and labor motivation in adapting to the situation of changing the type of professional activity

Data on the types of labor motivation, features of conscious selfregulation and adaptive abilities of subjects who are in a situation of changing the type of professional activity are presented. The role of these indicators in adapting to the situation of changing the type of professional activity is revealed. The purpose of the series of empirical studies is to test the model of the relationship between regulatory and motivational predictors of successful adaptation. The hypothesis of the research is the assumption that conscious self-regulation makes a significant contribution to the adaptation of the subject to a change in the type of professional activity and mediates the influence of motivational predictors. We discuss the empirical materials collected on a sample of subjects in a situation of changing the type of professional activity (unemployed, students of professional retraining programs, undergraduates) (N = 137). The analysis of the obtained data showed that the respondents, in the situation of changing the type of professional activity, have a predominant instrumental type of motivation (the validity of the labor price is important) and a predominantly low level of adaptive abilities. Conscious self-regulation is a system-forming factor in the system of predictors of adaptation. On the one hand, it allows you to compensate and overcome some limitations of work motivation, on the other — to act as a mediator of the influence of motivation on the results of adaptation
Simulation for Predicting Condition of Plant Equipment

Abstract Condition-based maintenance (CBM) is a maintenance program that recommends maintenance decisions based on maintenance information by condition monitoring. To apply CBM to industrial systems, it is important to diagnose condition of equipment appropriately based on the knowledge of abnormal condition of the equipment. In nuclear power plant, however, it is quite difficult to obtain the knowledge of abnormal condition. For this reason, simulation is expected to be an effective approach to estimate conditions of equipment instead of data acquisition. In this study, we focused on and built models for a motor operated valve and a pump, since the inspection cost is generally expensive due to the number of them in nuclear power plant. We considered a pump system and analyzed the measurement values in normal and abnormal conditions. Our analytical result reproduces the behavior of the measurement values and shows the characteristic deviation from normal condition in abnormal conditions.
Library Guides: Engineering: Finding Resources

This is a curated list of databases and resources relevant to the various fields of engineering. To see all databases, please go to the Library's A-Z Databases page.
A Study on Machine Learning Branches

Machine Learning has evolved over the past few decades from a few computer enthusiasts exploring the prospect of machines learning to play games and a part of mathematics statistics that seldom considered computational approaches to an independent research field that used text analysis, pattern recognition and other commercial purposes. Machine learning has contributed to a separate data mining research interest in finding secret regularities or anomalies in social data that are that by a second. This paper discusses the principle of Machine Learning as well assome of the common branches of Machine Learning.
Traceable Signatures using Lattices

Traceable Signatures is an extension of group signatures that allow tracing of all signatures generated by a particular group member without violating the privacy of remaining members. It also allows members to claim the ownership of previously signed messages. Till date, all the existing traceable signatures are based on number-theoretic assumptions which are insecure in the presence of quantum computers. This work presents the first traceable signature scheme in lattices, which is secure even after the existence of quantum computers. Our scheme is proved to be secure in the random oracle model based on the hardness of Short Integer Solution and Learning with Errors
Comparative Study of Vietnamese Part-of-Speech Tagging Tools

Vietnamese part-of-speech tagging is one of the most fundamental practices in Vietnamese language processing. Unfortunately, no attempt has been made to empirically compare different Vietnamese part-of-speech tagging software. Therefore, in this paper, the authors experiment upon several Vietnamese part-of-speech tagging software such as VnTagger, RDRPOSTagger (Java Version), JvnTextPro, VNCoreNLP in terms of accuracy, consistency and computational time. In addition, the brief descriptions of the models are discussed in detail. The results help researchers comprehend the models' strengths and weaknesses. The tools are tested on 4 different data sets of number of sentences and different word types such as date, number, special characters, connected characters, double words, compound words, proper names, etc... The results show that the accuracy of the JvnTextPro tool is high and stable with an accuracy of 80.08 to 97.84%, and the RDPRPOSTagger tool has faster processing time and relatively good accuracy from 88.41 to 96.84%.
PROFESSIONAL PRACTICE - INDICATIVE COMPONENT PROFESSIONAL TRAINING OF THE FUTURE TEACHER

The relevance of the problem under study is due to the formation of knowledge, skills, and abilities of future teachers in the process of their professional training; the essence of pedagogical practice as an integral process is considered. The article is aimed at theoretical and practical justification, actualization of the importance of professional practice in the course of professional training and training of teachers, which should be considered as one of the priority goals and important prerequisites for the socio-economic and spiritual progress of a multicultural society. It is pedagogical practice that is an important means of preparing a future teacher for innovative activities and in the professional formation and development of a future specialist. The leading approach to the study of this problem is a systematic approach that allows you to identify, justify and group the scientific, theoretical and practical prerequisites for students ' readiness for professional activity in the multicultural educational space of the school. The study showed that pedagogical practice provides students with training not only for practical work with students, but also for an innovative style of their professional activity. The materials of the article can be useful for specialists in the field of improving the quality of professional education.
Sistem Pendukung Keputusan Perekrutan Karyawan Online Untuk Penerimaan Karyawan Dengan Metode MOORA

One company that always gets a lot of prospective employees is PT. Fullmoon Jaya Abadi is engaged in the wholesale trade of special CCTV material. At PT. Fullmoon Jaya Abadi data obtained from the employee recruitment process still use manual methods, so the HRD (Human Resource Development) division must sort and select applicants one by one. A large number of candidates make the HRD division often have difficulty in choosing prospective employees, and subjectivity occurs when they want to decide so that the company accepts employees who do not fit the criteria set by the company. To overcome the problem of making decisions on employee acceptance at PT. Jaya Fullmoon Abadi is using the Multi-Objective Optimization method based on ratio analysis (MOORA). In research data collected based on the position of prospective employees. The results obtained in this study determine each position to receive as many as three prospective employees, namely Arianto Wibowo, Deny Saputra, and Irdha Febriani Awaliyah Ibrahim in the Sales position. Ilham Akbar N.S, Johan Salim, and Alfi Muhayyar in the Graphic Design position. Agustin Sulistyani, Sri Mulyani, and Serli Damayanti in the Accounting Staff position. Hendri Tanu, Adinda Helena, and Wajum Rodi in the IT Support position. Hartopo and Taufik Hidayat in the position of Sales Project.
AUTOMATSKO SAŽIMANJE HRVATSKOG TEKSTA

The prototype of the application presented in the paper was created during final batchelor exam of the first author. This article briefly lists the basic currently available methods of automatic text summarization while highlighting the challenges of using texts in the Croatian language. A very concise overview of the web application prototype is given. With an explanation of the architecture, the modules are explained and the end result is shown. In the final part, the identified challenges and guidelines for further development are discussed.
Sistem Pakar Berbasis Android Untuk Diagnosa Penyakit Mata Pada Manusia

The eye is one of the most valuable gifts of the creator. Besides being used for looking, senses of vision are also very influential in various human activities. It takes a healthy eye to avoid being disturb. One of them is an eye disease, and we often forget to treat it well because of less public knowledge to prevent eye diseases. That's why it’s needed an expert system for diagnosing and classify diseases eye of humans, which play a role in replacing and imitate the reasoning process of an expert in solving a problem. And can give the right and fast solution to be able to help an expert to diagnosing diseases stored in the database system. In this research, an expert system was built based on Android Mobile with the use of programming language Android Studio. This application exerts system uses the forward chaining method, aims to trace the symptoms that appear in the form of questions to diagnose the type of disease that can recognize the type of disease after consulting with answering questions displayed, known disease data adjusted the rules made to match the symptoms of eye disease and gave a percentage value and can conclude the type of eye disease suffered by patients to know the value of the approach type of the patient's illness.
The effect of hot chair strategy in modifying the attention deficit of the third class, private education , especially in Reading

The present research aims at identifying the effect of using the hot chair strategy in modifying the attention deficit of third class pupils, especially in reading. In order to achieve the objectives of the research, two hypotheses have been formulated, The researcher used the experimental design with two equal groups, an experimental group and another control group. The number of the research sample reached (20) pupils by (10) pupils of the experimental group who studied according to the strategy of the hot chair and (10) pupils of the experimental group who studied according to the traditional method. The researcher has balanced between the two groups in the following variables: (The chronological age is calculated in months, the grade of reading for the second grade of primary school and the pre-test for the scale of attention deficit.) The researcher adopted the attention deficit scale prepared by (Al-Obaidy, 1999) and the validity of the scale was confirmed by presenting it to a group of arbitrators to find out its validity.Its validity has been confirmed by using the Pearson correlation equation, and the validity coefficient is (0.82). by using the Mann, Tennessee, and Coxen test results showed the following that there was a statistically significant difference between the average degrees of post-application of the motivation scale for the experimental group students who studied using the traffic lights strategy and the control group students who studied using the usual method.
ESP STUDENTS’ NEEDS ANALYSIS BASED ON THE LEARNING-CENTRED APPROACHED

English for Specific Purposes, known as ESP, has been a requirement in the field of English Language Teaching ,especially in the vocational college level. This case study aims at investigating the ESP language needs of students at Politeknik Tonggak Equator in Pontianak. The need analysis was based on the Hutchinson &amp; Waters model, The Learning-Centered Approach Model, which is classified into two: target situation needs and learning needs. This study focused on the target need that includes “necessities”, “lacks” and “wants”aspects. Interviews to infer information for qualitative analysis were conducted with 10 students at the sixth semester of English Business and Management program. The findings revealed that students who were working at various companies confirmed that their necessities was to learn a much better skilled english to support their works. In term of lacks, some learners admitted that they had to improve their communication skills and the wants were to be able to communicate in the form of speaking and writing. Keywords : ESP, need analysis, the learning centred approach