Reviewerly/exHarmony huggingface dataset:
In theory-Sharing AI’s black box sounds great-But in reality it’s not

In theory, the concept of sharing scientific information and knowledge seems safe [1]. However, in reality those who seek to obtain that knowledge are not always so pure in motive – consider Nobel’s experience with dynamite (Patent # 78317) - something driven home at every meeting we present The Fleming Method for Tissue and Vascular Differentiation and Metabolism (FMTVDM) at [2], an example of which is shown in Figure 1.
Support Vector Machine-Based Focused Crawler

The Internet is an immense source of information. People use search engines to find desired web pages. All these web pages are gathered from the search engine by using web crawler. In traditional crawler, the information retrieval was based on the occurrence of keywords in a document due to which many irrelevant web pages were also retrieved. For the effective classification of web pages, support vector machine (SVM)-based crawler model is proposed in this paper. Various features of URL and web page are used for effective classification. SVM is trained by using these features and further tested. The proposed model is analyzed using precision and recall metrics. The experimental results exhibit optimized results by using this proposed approach.
Swarm Intelligence Models: Ant Colony Systems Applied to BNF Grammars Rule Derivation

Ant Colony Systems have been widely employed in optimization issues primarily focused on path finding optimization, such as Traveling Salesman Problem. The main advantage lies in the choice of the edge to be explored, defined using the idea of pheromone. This article proposes the use of Ant Colony Systems to explore a Backus-Naur form grammar whose elements are solutions to a given problem. Similar studies, without using Ant Colonies, have been used to solve optimization problems, such as Grammatical Swarm (based on Particle Swarm Optimization) and Grammatical Evolution (based on Genetic Algorithms). Proposed algorithm opens the way to a new branch of research in Swarm Intelligence, which until now has been almost non-existent, using ant colony algorithms to solve problems described by a grammar.
A Study on Development of Information and Communication Ethics Sensitivity Measurement for Elementary School Students

With advances in information and communication technologies and internet technologies,we have many benefits in our daily life.Most people have smart devices and use them for their work and leisure, and so on.However, these advances technologies brought us various side effects such as copyright violation, internet addiction, cybercrimes, personal information infringement, etc.In order to cope with those side effects, it is very important to teach information and communication ethics to students as early as possible.In addition, in order to teach young students, first, their awareness to information and communication ethics needs to be tested.In the literature, most awareness test tools are to test knowledge of information and communication ethics.In fact, those awareness tools have not consider sensitivity for information and communication ethics.In this work, an extensive and integrated sensitivity measurement tool is developed.At first sensitivity measurement standards are developed based on literature review works.Many elementary school teachers and ICT education experts survey the initial standards.Finally, sensitivity measurement standards are finalized with 6 areas and 19 standards.It is hoped that the proposed standards will be very helpful to diagnose awareness of elementary school students for information and communication ethics.
Development and Operation Result of Japanese Accent Perception Test Based on E-learning System

Main purpose of this study is to find and build a model of Japanese accent perception practice at Japanese lessons in regular classrooms and those based on utilization of network and multimedia. Until now, Japanese phonetic researchers and teachers had to spend a disproportionate amount of time and effort to conduct experiments or test, and to develop the means to process resulting data of the experiments conducted. With the proposed [AJ-phonetic Test] system, accent tests are conducted online. In this respect, Japanese learners can take part in the phonetics experiment in a time and location convenient to them. Also, researchers and teachers can work on the obtained data by using the database available. Moreover, AJ-phonetic test feedbacks provide not only test results but also a more comprehensive data analysis. Results of the 12-year operation of AJ-phonetic test in Korea proved to have a positive effect on students as well as teachers. This paper present general guidelines necessary to conduct the AJ-phonetic test. Firstly, in case of Korean learners of Japanese, a separate set of words accentless pitch and those with accent pitch is needed because the two sets present different difficulty levels for a learner. Secondly, as the number of moras in a word affects the difficulty, we introduced dummy words, which proved successful in controling the level of difficulty and increasing learning effect. Besides, dummy words worked well as a substitute for low tone (frequency) long words as well for long words in general. Thirdly, since there are only few cases with a distinctive long-short opposition in Korean, Korean learners of Japanese have difficulties recognizing accents in words with special moras. Such words therefore need special attention. Finally, the ability of Korean learners of Japanese to recognize accent in Japanese words differs based of the learners’ native dialects. Best results were obtained by learners from the Jeonla-do region, followed by those from Gyeongsang-do region, while learners from Seoul had most difficulties in recognizing the accent. From all the above findings we conclude that Japanese accent education is highly necessary, and that in the process of education, both Japanese accent characteristics as well as learners’ native dialects should be considered.
Knowledge Transfer Using User-Generated Data within Real-Time Cloud Services

When automatic speech recognition (ASR) is provided as a cloud service, it is easy to collect voice and application domain data from users.Harnessing these data will facilitate the provision of more personalized services.In this paper, we demonstrate our transfer learning-based knowledge service that built with the user-generated data collected through our novel system that deliveries personalized ASR service.First, we discuss the motivation, challenges, and prospects of building up such a knowledge-based service-oriented system.Second, we present a Quadruple Transfer Learning (QTL) method that can learn a classification model from a source domain and transfer it to a target domain.Third, we provide an overview architecture of our novel system that collects voice data from mobile users, labels the data via crowdsourcing, utilises these collected user-generated data to train different machine learning models, and delivers the personalised real-time cloud services.Finally, we use the E-Book data collected from our system to train classification models and apply them in the smart TV domain, and the experimental results show that our QTL method is effective in two classification tasks, which confirms that the knowledge transfer provides a value-added service for the upper-layer mobile applications in different domains.
First-order justification logic with constant domain semantics

Abstract Justification logic is a term used to identify a relatively new family of modal-like logics. There is an established literature about propositional justification logic, but incursions on the first-order case are scarce. In this paper we present a constant domain semantics for the first-order logic of proofs with the Barcan Formula (FOLPb); then we prove Soundness and Completeness Theorems. A monotonic semantics for a version of this logic without the Barcan Formula is already in the literature, but constant domains require substantial new machinery, which may prove useful in other contexts as well. Although we work mainly with one system, we also indicate how to generalize these results for the quantified version of JT45, the justification counterpart of the modal logic S5. We believe our methods are more generally applicable, but initially examining specific cases should make the work easier to follow.
On Polyatomic Tomography over Abelian Groups: Some Remarks on Consistency, Tree Packings and Complexity

Abstract The paper deals with an inverse problem of reconstructing matrices from their marginal sums. More precisely, we are interested in the existence of $$r\times s$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>r</mml:mi> <mml:mo>×</mml:mo> <mml:mi>s</mml:mi> </mml:mrow> </mml:math> matrices for which only the following information is available: The entries belong to known subsets of c distinguishable abelian groups, and the row and column sums of all entries from each group are given. This generalizes Ryser’s classical problem of characterizing the set of all 0–1-matrices with given row and column sums and is a basic problem in (polyatomic) discrete tomography. We show that the problem is closely related to packings of trees in bipartite graphs, prove consistency results, give algorithms and determine its complexity. In particular, we find a somewhat unusual complexity behavior: the problem is hard for “small” but easy for “large” matrices.
Effect on Probabilistic Language Model for Cross-Domain Corpus

Probabilistic language model has been widely used in the field of natural language processing and it should be based on a suitable data corpus. Limited data is a permanent problem of probabilistic language model. Original data corpus can no longer meet requirements as time goes by, the emergence of new terms and technical terminologies. Therefore, cross-domain training is often needed. In this paper, a probabilistic language model is built with $$<UNK>$$ filtering and linear interpolation based on N-grams of words. Then, for three different data domain corpus which each has unique word distribution, based on perplexity analysis, data corpus with similar word distribution can be got. With all this information, the accuracy of cross-domain probabilistic model can be promoted.
ANÁLISE DAS CONVENÇÕES DISCIPLINARES EMPREGADAS PELA ORGANIZAÇÃO CRIMINOSA, AUTODENOMINADA PRIMEIRO COMANDO DA CAPITAL, EM SEMELHANÇA AOS ASPECTOS DOUTRINÁRIOS DE INTELIGÊNCIA DE SEGURANÇA PÚBLICA

The purpose of this article is to present and describe the disciplinary actions and attitudes guided by the self-styled criminal organization Primeiro Comando da Capital (PCC), regarding its persuasion among its members, as well as within communities previously inserted.Still, aspects of effectiveness in relation to employment are analyzed -In analogy and similarity -, with respect to elements existing in the National Doctrine of Intelligence of Public Security (2009), although in an experimental and unconscious way.The conceptions presented in the present article, these, examined on the concepts based on the legal understanding of crime and criminal organization, were put in similarity to the judgments dispensed by the aforementioned criminal organization, in order to promote a constructive and reflective parallel, in order to demonstrate the pending and necessary State intervention in the matter.
How can Scope utilise the critical success factors of Scope One to gain market share

The case study assesses the question ‘how can Scope best utilise the critical success factors of Scope One to gain market share?’, by focusing on identifying and analysing the critical success factors of Scope One. A framework was devised from four project management theories and two agile software development theories to present 11 potential success factors for Scope One: Defined Direction, Schedule, Organisation and Support, Personnel, Management Approach, Communication, Client Consideration, Risk Awareness and Avoidance, Technical, Delivery, and Performance Measurement.Seven questions consider the criticality of each factors based around the six theories in the framework, along with two other theories, a Scope One user survey and two separate interviews with the project manager and also a business analyst involved with Scope One. The one major limitation of the study is the limited access to the market and external users of Scope One, partially due to the data privacy restrictions of the General Data Protection Regulation (GDPR).As a result of the study, Client Consideration is found to be the most critical success factor, appearing as critical in response to six of the seven questions, followed by Defined Direction and Schedule.The paper identifies three recommendations for the Scope One project, which addresses the limited external client and user involvement in the study. The first suggestion entails gaining greater insight into external user perceptions of project success in order to understand what clients consider as success factors and how the Scope One project can cater these success perceptions. Secondly, gaining feedback from both internal and external users will continually provide the organisation with relevant feedback. This can be achieved by creating very short and periodic user satisfaction surveys; another idea is to highlight new features to users upon signing in and request feedback on it with a simple thumbs up/thumbs down option. This would ideally increase the amount of users providing feedback by generating quick and easy mechanisms to do so.Finally, the criticisms from potential clients that decline the service provide interesting intelligence on the market’s perception of the service and whether the company can facilitate individual needs. Moreover, by identifying the individual needs of potential clients and translating and integrating that into the Scope One service can contribute towards a competitive advantage. The information received can aid with task prioritisation, altering the scope, maintaining quality, measuring performance and assessing risk. Expanding the detail and amount of responses received will offer new ideas and alternatives to consistently improve the service. Most importantly, it will assure that the client’s expectations, requirements and opinions are kept at the forefront of the strategy and direction of the project.LinkedIn: https://www.linkedin.com/in/joe-mackenzie-996436b3/
Natural Language Toolkit based Morphology Linguistics

In the current scenario, there are different apps, websites, etc. to carry out different functionalities with respect to text such as grammar correction, translation of text, extraction of text from image or videos, etc.There is no app or a website where a user can get all these functions/features at one place and hence the user is forced to install different apps or visit different websites to carry out those functions.The proposed system identifies this problem and tries to overcome it by providing various text-based features at one place, so that the user will not have to hop from app to app or website to website to carry out various functions.The proposed system will provide users with various functions such as grammar checking, text extraction from an image, text summarization, translation of text into different languages, etc. which will help them in their daily life.I.
PENERAPAN KNOWLEDGE MANAGEMENT SYSTEM (Studi Kasus: Spesialis Penyakit Jantung dan Spesialis Penyakit Dalam di RSUD ABDUL MOELOEK)

Knowledge management is a concept that converts information into knowledge that can be followed up and available with easy means so that everyone can access it. The k nowledge of information technology is very important for the community, as one of the software and forums providing information about stom and heart disease, which is located in Dr. H. Abdul Moeloek. In order to develop and maintain the process of learning, innovation and renewal must continue to develop and be sustainable and required facilities or activities that are able to provide information about health, website knowledge management system that is specific to heart and heart disease is designed using the waterfall model method. This website is built using the PHP programming language and MySQL as the database. This research resulted in a knowledge management system website. The use of this website can help the public in obtaining information , provide a forum for discussion and exchange of experiences regarding ulcer disease and heart disease .
A Study on Visualization of Task Progress in Skills Competition

The section of “IT Network Systems Administration” (“ITNSA” for short) is one of the sections in formal domestic and international skills competitions. The ITNSA section has a problem that task progress states during the competition cannot be understood by audience. Therefore, this paper reports the development of the visualization system for ITNSA competitions. This system consists of additional softwares and hardwares to show the task progress states during the competition to audience. Moreover, this paper reports its practical use on some formal national skill competitions, and its effectiveness.
The Unclear Meaning of Open Scientific Data

This chapter aims to shed light on the meaning of open scientific data-a term problematic to conceptualise in both policy and practice of open data.The discussion is structured as follows:1. What is data?2. What is scientific data?3. What falls outside the scope of 'research data'?4. What is missing in the scope of 'research data'? What makes research data 'open'?6.The limits of openness Among the earliest and most commonly used definitions is that which appeared in 1999 in the National Academies of Science report:Data are facts, numbers, letters, and symbols that describe an object, idea, condition, situation, or other factors. 5 In 2011, the academies clarified that-in addition to all digital representation of literature (whether text, still or moving images, sound, models, games, or simulations)-the term also applies to:… forms of data and databases that generally require the assistance of computational machinery and software in order to be useful, such as various types of laboratory data including spectrographic, genomic sequencing, and electron microscopy data; observational data, such as remote sensing, geospatial, and socioeconomic data; and other forms of data either generated or compiled, by humans or machines.
Interactive Face Liveness Detection Based on OpenVINO and Near Infrared Camera

For the security of face recognition, this paper proposes an interactive face liveness detection method based on OpenVINO and near infrared camera. Firstly, the face feature points are normalized and the faces are aligned in the environment of OpenVINO and near infrared camera. Secondly, the Euclidean Distance between the mouth feature vectors is calculated. When the distance is greater than a threshold, the system will judge it as a smile. Finally, the system will send random smile commands to the authenticated users to realize liveness detection. According to the results, the proposed method can effectively distinguish between real people and printed photos, and the running time of the liveness detection system based on OpenVINO can reach 14–30 ms, the recognition accuracy can reach 0.977, which has outstanding generalization ability in practical project applications.
Processes of digitalization in the context of philosophical-technical interpretation

Based on the analysis of transformations of the technical reality of the last century related to the development of computers and digital technologies, the article discusses the processes of digitalization and digital transformations. It has been established that digitalization can be understood as the process of creating, through digital technologies, a specific real or virtual digital product with information, communication, production, economic and other purposes. It is noted that the digitalization process leads to digital transformations – processes of a qualitative change in the structural elements of reality associated with the development and use of digital technologies and digital products. The study also establishes that digitalization processes, due to the advent of computer devices and digital technologies, are transforming technical reality.
A Study on Effect of Working Conditions on Employee Performance

Employees’ performance in any organization depends on the productivity level because it is a vital and major concept to evaluate organization. As a matter of fact, no organization would be able to achieve its goals if the matter of productivity is neglected. While good corporate citizens may take efforts to help struggling employees, ultimately poor performers who cannot find success anywhere in the company need to be removed for the overall well-being of the organization. It is worthy of mention that industrialization is an advancement of work. Work makes life meaningful and gives the feeling of self actualization and acceptance to the worker in an industrial environment.
Cancer Cell Detection Using ANN and Deep Learning Method: A Survey

Improvement in data and technology made an ultra-effect on medical science and which makes the researchers to come up with new methods to improve the classification rate of various diseases. Cancer is a dreadful disease which kills lots of people in the world and also diagnosing this disease in early stage makes a vast impact on its treatment. We survey the usage of deep learning methods and ANN to detect cancer because Deep learning is used for pattern recognition and classification. We end the advantages of ANN, efficiency of deep learning methods for classification of cancer and directions to the future research.
Adding identity numbers to deep neural networks

Amid the maturity of machine learning, deep neural networks are gradually applied in the business sector rather than be restricted in the laboratory. However, its intellectual property protection encounters a significant challenge. In this paper, we aim at embedding a unique identity number (ID) to the deep neural network for model ownership verification. To this end, a scheme of generating DNN ID is proposed, which is the criterion for model ownership verification. After embedding, the model can complete the original performance and own a unique ID of this model as well. DNN ID can only be generated by the owner to check the model authorship. We evaluate this method on MNIST. Experiment results demonstrate that the DNN ID can accurately verify the ownership of our trained model.
An efficient approach for video retrieval by spatio-temporal features

The rapid development of video capture and information sharing technology has resulted in an overwhelming number of online video archives. This makes it difficult to retrieve videos from a large database using a traditional text-based system. The only solution to this problem is to retrieve videos based on their content. Ample algorithms have been hypothesized to reclaim videos from an enormous data base. Besides they could not diminish the time consumption and their coherence couldn’t satisfy the users. We postulated the new approach which clubs the spatial features along with temporal features by making use of widespread video data and this amplifies the efficiency of video retrieval. In this regard, we move oncolour and motion features to get full data of video. Comparing the features of a demand video to those of a video to be retrieved from a server is easy, rather than comparing the entire content of the video. Therefore, designers of CBVR systems will follow two major steps to balance extraction and similarity of features [24].