Reviewerly/exHarmony huggingface dataset:
Optimizing Neural Networks for Embedded Hardware

Neural networks are a pervasive technology, which is, however, still held back in the area of embedded systems by the high resource requirements, especially memory size, memory access time and power dissipation. In recent years, several different methods have been proposed to transform given neural networks in such a way that they can get by with much fewer resources while maintaining almost the same accuracy. This work reviews, categorizes and describes the state of the art in adapting and simplifying neural networks to make them better applicable to embedded systems. Even though we developed this study from a purely automotive context, the techniques described are also valid in other areas.
Translation Study on Terms and Sentences with Particular Chinese Features Based on a Micro-self-built Corpus

On the basis of two corpora of political and economic terms and sentences with particular Chinese features from China Daily (English version) and The New York Times, ranging from August 2019 to January 2020, a comparable analysis is made to find out the strategy of rendering those words in the news together with their lexical features. Statistics reveal an overall foreignization tendency, along with various factors imposing impacts on the process, which is examined from the perspective of both translation and linguistics.
CoreTrustSeal Trustworthy Data Repositories Requirements: Glossary 2020–2022

This Glossary of Terms supports the CoreTrustSeal Trustworthy Data Repository Requirements 2020–2022
Cross-language Comparison and Semantic Map Research in Explicit Causative Constructions

Cross-Language; Explicit Causative Constructions; Multifunctionality; Semantic Map
Sociotechnical translations of the axiological principles of the quantified self

Various researchers in the humanities and social sciences have recently focused their investigations on the Californian Quantified Self movement, to translate its major axiological principles and/or to discuss its foundations from an essentially critical perspective. In particular, Minna Ruckenstein and Mika Pantzar have highlighted four main families of arguments and metaphors that prevail in the discourse of the promoters of this movement: transparency, optimization, feedback loops and biohacking. Our article examines the conditions for the objectification of these major principles. What is retained of these axiological principles during the implementation phase of QS invention projects? How do they change as the innovative process is successively tested? What is the degree of diffusion of these major development axes in the current socio-technical landscape? These are the questions that have guided our documentary analysis of 614 US patents dedicated to the quantification and management of sleep time.
Some Reflections of Possible Activities and Trades for the Application of Law in a Society Based on Artificial Intelligence

The science of Law, in evolution, has followed and evolved through direct reporting to sociology the development of society. The social development and the society needed support by creating the legal instruments, the legal norms, the coercive systems of the administrative authority at one point. State guarantees to the individual are also important elements in the study of legal sociology. Our research topic tries to identify the challenges of the future regarding the transformation of the society and the need for adaptation and adaptability of the trades that support the execution of the order of law and of social justice and justice.Certainly many trades in the right field will adapt or specialize. There will be no trades. The intelligence society changes the legal relationships and modifies certain socio-economic parameters. Thus the documents passing through the institution of the notary public will be validated and recognized through a fairly advanced encryption system that has a security and certainty system at least the same as the public notary's archive. The electronic file to be applied in the litigation procedure changes the duties of the clerk, the duties of lawyers, experts and not least of the prosecutors, magistrates. It is hard to imagine an electronic judge, but artificial intelligence based on analyzes generated by big data algorithms and databases will generate solutions that will be an alternative to the classical court. The receipts will be based on information from the ubiquitous audio-video-telephone surveillance systems. The question is asked: How much remains of the classical procedures of the science of law that is currently applied. What validates the future of the present in the field of law?
Research on Smart Phone Assisted College English ESP Blended Teaching

As the main medium and carrier of mobile learning, Smart phone can become a powerful learning tool, change the teaching method, and reshape learning behavior. This paper analyzes the application of smart phones in College English ESP (English for Specific Purposes) hybrid teaching, as well as the learning behavior and learning effect of learners assisted by smart phones by collecting background data of MOOC (Massive Open Online Courses) course platform. The results show that, teachers can create a personalized language learning environment based on mobile phone MOOC provide learners with learning guidance and promotion services in multiple ways, provide learners with learning support anytime and anywhere, and ultimately improve learners' learning engagement and satisfaction with the help of smart phones.
What is the biggest social media platform in China

WeChat, which boasts 1 billion users, is also known as Weixin, which means micro message. Tencent is the Chinese tech company that runs WeChat.
Educational Theories of Mobile Teaching

Learning theories of the Nineteenth century are all related to mobile learning, even if they are diversified and attributable to different years. Each of them has specific characteristics influencing the mobile approach, from classic and contemporary to innovative mobile teaching. Educational theories of mobile learning converge around key features concerning the learning processes and environments, as well as teachers professional behaviour, students developing skills, and mobile technological affordances. In this chapter, three main metaphors developed during the Nineteenth century are analyzed. The metaphor of acquisition has influenced the classic teaching of behaviorism and cognitivism, in which the research focus is on the amount and the quality of information transmitted from teachers to students. The metaphor of participation has seen learning as a process rooted in cultural practices and shared activities and has been adopted by contemporary teaching. The metaphor of knowledge creation is the last one and emphasizes mediated activities of co-creation, which leverage innovative teaching. These three metaphors still co-exist and for this reason the re-thinking of pedagogical practices for mobile learning also needs a recognition of significative educational theories of the Nineteenth century to understand which of their characteristics are still surviving to address mobile teaching.
SMART ATTENDANCE SYSTEM USING FACE RECOGNITION

The use of technology has revolutionized almost every sector of society.In this competitive world, the education sector also needs modernization to keep pace with the changing situations.The attendance management system has seen critical change over a brief period from manual registers to hi-tech smart attendance tracking mechanisms.Generally the traditional methods of attendance are by calling roll numbers or by taking the sign of students on the paper.But both these methods are time consuming and difficult to maintain the records.So the system we have developed takes attendance by recognizing faces .This project is based on python and Local Binary Patterns Histogram algorithm.The faces of students are captured and stored, the recognizer is trained by using that training dataset and then marks attendance by recognizing the faces.The system displays the details of students who are present , absentee details and the cumulative attendance till day.And this project also organizes the attendance information in excel files.
The Epistemological Aspects of Investigative Hypotheses

This paper is about the philosophical and epistemological aspects of investigative hypotheses.Criminal investigation is a kind of cognition, so it is important to know the basic philosophic conceptof knowledge and truth. Different schools and traditions of philosophy have given different answers tothese.One of the basic elements of investigative thinking is, in addition to being reconstructive andretrospective, thinking in hypotheses. Logical, semantic, syntactic, epistemological, and ontologicalprinciples must be taken into account when formulating hypotheses. Choosing between the hypothesesshould be based on preference and indifference criteria. These criteria of preference and indifferencewill also be logical and epistemological.Testing, validating, and rejecting hypotheses is an essential element of investigative work. Theplausibility, credibility, and accuracy of competing hypotheses are constantly changing dependingon the investigative data obtained. It is a basic principle that all hypotheses should be tested and, ifpossible, the testing should be performed in parallel.
From Analytical Аnthropology to Generative Anthropology

This article discusses the role of the technical in V.A. Podoroga&amp;apos;s project of studying the literature worlds as archives of human experience. On the level of content, among many other components of these worlds he distinguished working and non-working machines, “gizmos” and various optical devices, including the mechanic eye, camera, mounting, etc. Formally, the action of these machines can be assessed as alienation, though in the context of modern media studies and exploration of the perspectives of anthropology, they can also be described as a problematic contact zone between the human and non-human, with a bias towards breaking the already historically disrupted bodily-affective interaction with the “outside”. Studies of Andrei Platonov&amp;apos;s show the most radical interaction with the technical, in this case causing dissimilation of the human. However, even for this “inhuman” material, Podoroga chooses a form of human-measured approximation and distancing, which allows defending the position of an active researcher, observer, anthropologist. His efforts produce a kind of reconstruction, which at a certain time distance reveals the “seams”, “folds”, “cuts”, “plexuses”, “gaps” that formed at once the experience of the body and experience of writing. This is how the components of literature worlds are extracted, and from them “a picture of the universe can be deduced”. Although an external position to technics is considered to be the only guarantee of the human, even if it is strange, symptomatic, seizure-like, a different understanding of the technical is possible. Without claiming that a “machine” can assemble components in the absence of the observer&amp;apos;s (reader&amp;apos;s) comprehension ability, it seems nevertheless possible to relate the technical to more general principles: the methods of dispersion and gathering that form the form, the principles of intervalization and binding the heterogeneous, and most importantly, the principle of generating conditions for detecting an event. Then it will be necessary to clarify the relationship between techne and literature in the broader sense of poiesis, in the process of which elements can be formed from the indivisible “compressed”.
Study on Dual Bi-Directional Heuristic Development Framework

The study creates a multi-start heuristic framework. The heuristic development approach accelerates heuristic convergence to high-quality optimum solutions. The Dual Bi-Directional (DBD) heuristic is a multi-start heuristic that searches for the global optimum solution (GOS) in four concurrent directions using a pair search starting from both the beginning and ending nodes. When the four optimum tours connect to form an optimum round tour of all the search space nodes, the search ends. The DBD heuristic then begins to improve the discovered optimum round tour in a unidirectional approach by employing a global search metaheuristic. By introducing the unidirectional heuristic to improve the multi-start heuristic constructed optimum round tour, the multi-start heuristic framework reduces the non-convergence of the bi-directional approach. The approach of the multi-start heuristic framework will allow the convergence of the bi-directional heuristic.&nbsp
PENGGGUNAAN ZOOM MEETING DALAM PEMBELAJARAN JARAK JAUH PADA MASA PANDEMI COVID-19 DI SMPN 164 JAKARTA

This research is motivated by the results of case studies in the world of education during the Covid-19 pandemic, the education system is faced with a situation that requires teachers to be able to master distance learning media. During the Covid-19 pandemic, every school implemented a distance learning system. An application that is widely used during distance learning is Zoom Meeting. The purpose of this research is to find out 1) student responses in easy access to the Zoom Meeting application, 2) understanding of the material in learning using the Zoom Meeting application, 3) the effectiveness of using the Zoom Meeting application in online learning, 4) Use of Zoom Meeting in mathematics learning. This research method uses descriptive research methods using survey techniques. The research instruments used were questionnaires and online interviews which were given to 38 students of SMPN 164 Jakarta consisting of 3 generations in the even semester. The results showed that 52.93% of students expressed disagreement in the ease of accessing the Zoom Meeting application, 62.63% of students agreed in understanding the learning material using the Zoom Meeting application, 60.42% of students agreed on the effectiveness of using the Zoom Meeting application , and 46.74% of students agreed to use the Zoom Meeting application in learning mathematics. The results of this study indicate that the use of the Zoom Meeting application is not very effective for students of SMPN 164 Jakarta. However, the Zoom Meeting application is better because in the Zoom Meeting application communication between individuals is carried out orally compared to the use of learning applications that carry out communication activities in writing according to educational communication theory.
The Design and Implementation of the Bidding Strategy in the Dou Dizhu Game

The Dou Dizhu game is a popular game in China, which has been accepted as a competition in China Computer Game Championship in recent years. The key step of the game is to bid the card, which directly determines the result of the game. In this paper, the related techniques of deep learning have been deeply studied, and the Dou DiZhu game bidding strategy based on deep learning is put forward. Basing on the real game data of a famous online game company in China, this paper gives an innovative method of data calibration and a card representation model and selects the CNN model to train the bidding model. Finally, the bidding system will give a score according to the given initial hand card, and the program is used as AI program to participate in the Chinese University Computer AI Game Championship in 2020. The results show that the bidding strategy proposed in this paper is feasible.
Speech processing in the age of machine learning: not all models and solutions are created equal

The speech processing field has evolved dramatically in the last decade, especially for non-specialists using speech technology tools. Machine learning based on various neural networks (DNNs, GANs, CNNs, LSTMs, etc.), have emerged as a way of leveraging available training data to formulate new algorithms which have revolutionized performance for many challenging tasks including speech recognition, speaker identification, speech enhancement, etc. However, with such improved modeling capabilities, greater care is needed to ensure resulting solutions take into account fundamental properties of speech production, language, and perception. This talk provides a brief overview of current speech processing advancements using model based/supervised solutions. In particular, after briefly highlighting several approaches to speech processing, three examples are considered that highlight challenges/flaws/issues in applying supervised model-based concepts and machine learning without factoring in underlying foundations present in the original data context. These areas include: (i) word-count estimation for language assessment of child-adult speech—comparing with LENA language system, (ii) dialect identification using available corpora (e.g., “is the secret in the silence?”), and (iii) speech features for forensic audio analysis with noise and nonlinear distortion mismatch conditions. Suggestions for best practices will be highlighted in speech, speaker, and language based processing.
Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought

The iris flower dataset is a ubiquitous benchmark task in machine learning literature. With its 150 instances, four continuous features, and three balanced classes, of which one is linearly separable from the others, iris is generally considered an easy problem. Hence researchers usually rely on other datasets when they need more challenging benchmarks. A similar situation happens with computer vision datasets such as MNIST and ImageNet, which have been widely explored. The state of the art models essentially solves these problems, motivating the search for more challenging tasks. Therefore, this paper introduces a new computer vision toy dataset featuring iris flowers. Users of a nature photography application took the pictures, thus they include noisy background information. Additionally, certain desirable features are not guaranteed, such as single, similarly-sized objects at the center of each picture, which makes the task more challenging. Our benchmark results show that the dataset can be challenging for traditional machine learning algorithms without any pre-processing steps, while state of the art deep learning architectures achieve around 82% accuracy, which means some effort will be necessary to drive this accuracy closer to what has been accomplished for MNIST and ImageNet.
¿CÓMO ESTAMOS EVALUANDO LA ALFABETIZACIÓN DIGITAL? UNA REVISIÓN SISTEMÁTICA DE LOS INSTRUMENTOS UTILIZADOS PARA EVALUAR LAS COMPETENCIAS DIGITALES BÁSICAS : ¿CÓMO ESTAMOS EVALUANDO LA ALFABETIZACIÓN DIGITAL?

The assessment of digital literacy has gained relevance in recent years. Therefore, this systematic review had as a main purpose to identify which population has been evaluated the most in terms of digital literacy and to describe how this construct has been assessed. In terms of methodology, the phases of the process followed were those described by Bettany-Saltikov and Zawacki-Richter, Kerres, Bedenlier, Bond and Buntis. The systematic review was performed through the Redalyc, Dialnet, SciELO and ERIC data bases and were chosen a total of 33 studies which met the eligibility requirements. The results indicated that nine out of ten instruments evaluate digital literacy based on typical performance tests and that the most evaluated population was university students. The importance of assess digital literacy using objective instruments such as tests of maximum performance is concluded. It also stands out as an area of opportunity the assess of high-school and secondary-school students' digital literacy.
Quantum Computing - The Future of Computing

Quantum theory is one of the most successful theories that have influenced the course ofscientific progress during the twentieth century. It has presented a new line of scientific thought, predicted entirely inconceivable situations and influenced several domains ofmodern technologies. There are many different ways for expressing laws of science ingeneral and laws of physics in particular. Similar to physical laws of nature, informationcan also be expressed in different ways. The fact that information can be expressed indifferent ways without losing its essential nature, leads for the possibility of the automaticmanipulation of information.Quantum computing is a study area that focuses on developing computers based on the properties of “quantum theory” & “quantum physics”. Quantum theory defines the behavior & nature of energy and matter on the “atomic” and “subatomic” levels also known as the quantum levels. A quantum computer is a computational device that utilizes the phenomena of quantum mechanics with its quantum properties to structure & process data. A large-scale quantum computer is capable of performing operations in exponentially enormous speed compared to a classical computer. Development of such computers is considered a massive leap for mankind in computing abilities with huge performance gains for simulations or brute force for example.All ways of expressing information use physical system, spoken words areconveyed by air pressure fluctuations: “No information without physical representation”.Quantum computers are not meant to replace typical computers. In practice, they will be separate instruments used to solve complex, data-heavy problems, particularly those that make use of machine learning, where the system can make predictions and improve over time.
대학 영어강좌에서 학습자 실재감과 강의 만족도의 관계성: 대면/비대면 경험차를 중심으로

The purpose of this study is to investigate the effects of the learner’s perception regarding the teaching, cognitive, and social presence on the course satisfaction of university language lectures in the COVID-19 non-face-to-face situation. The differences in the level of presence by each grade were also examined based on the lecture experience. Data for this research were collected from 370 participants. The result revealed that when teaching, cognitive and social presence were high, the level of course satisfaction was high accordingly. In addition, the level of course satisfaction increased with statistical meaningfulness in relation to the year of the students. The fact that the level of the presence in the freshmen was comprehensively low might shed light on the necessity for professors to provide more information and interaction opportunities in non-contact lectures. (Gyeongsang National University)
SQL in C

This chapter introduces the reader to the way the database language, Structured Query Language (SQL), can be accessed and used from a C program. It will be demonstrated how to create the database file. When this is done, the reader will be able to create database tables. Then, it will be shown how to insert data into the table, how to amend data in the table, how to delete data from the table, and how to print out data held in the table.
A Pragmatic Analysis of "V了V" Verb Reduplication in Modern Chinese

The verb reduplication of “V了V” is a common expression in modern Chinese. However, there are not many studies on this structure in the field of grammar. This paper mainly analyzes the verb reduplication of “V了V” from the perspective of pragmatic function, and summarizes its pragmatic function: First, it can express a soothing and relaxed feeling; Second, it has the function of marking foreground events in sentences; Third, it is equivalent to the State Adjective to enhance the descriptive nature of discourse. In addition, this paper also discusses the pragmatic constraints of the verb reduplication of “V了V”: it can not appear in imperative sentence, negative sentence, sentence using Modal verb, question sentence, exclamatory sentence, but can only appear in affirmative statement sentence, but also be limited to some extent. This is also the difference between this structure and “VV” verb reduplication in terms of pragmatic function.