Reviewerly/exHarmony huggingface dataset:
Gesture recognition of sign language alphabet with a convolutional neural network using a magnetic positioning system

&lt;p class="Abstract"&gt;&lt;span lang="EN-US"&gt;Gesture recognition is a fundamental step to enable efficient communication for the deaf through the automated translation of sign language. This work proposes the usage of a high-precision magnetic positioning system for 3D positioning and orientation tracking of the fingers and hands palm. The gesture is reconstructed by the MagIK (magnetic and inverse kinematics) method and then processed by a deep learning gesture classification model trained to recognize the gestures associated with the sign language alphabet. Results confirm the limits of vision-based systems and show that the proposed method based on hand skeleton reconstruction has good generalization properties. The proposed system, which combines sensor-based gesture acquisition and deep learning techniques for gesture recognition, provides a 100% classification accuracy, signer independent, after a few hours of training using transfer learning technique on well-known ResNet CNN architecture. The proposed classification model training method can be applied to other sensor-based gesture tracking systems and other applications, regardless of the specific data acquisition technology.&lt;/span&gt;&lt;/p&gt;
Enhanced authentication and access control in Internet of Things: a potential blockchain-based method

With the rapid growth of Internet of Things (IoT), it can be foreseen that IoT services will be influencing several use-cases. IoT brings along the security and privacy issues that may hinder its wide scale adoption. The scenarios in IoT applications are quite dynamic as compared to the traditional internet. It is vital that only authenticated and authorised users get access to the services provided. Hence, there is a need for a novel authentication and access control technique that is compatible and practically applicable in diverse IoT scenarios to provide adequate security to devices and data communicated. This article aims to highlight the potential of blockchain for enhanced and secured authentication and access control in IoT. The proposed method relies on blockchain technology, which tends to eliminate the limitations of intermediaries for authentication and access control. As compared to existing systems, it has advantages of decentralisation, secured authentication, authorisation, adaptability, and scalability.
Korean Decimal Classification (KDC): Its History, Development, Characteristics, and Future Prospect

The Korean Decimal Classification (KDC) is a national standard classification system of the Korean library community published and maintained by the Classification Committee of the Korean Library Association. This article examines its general history from its advent to the latest edition (KDC 6), its usage, external characteristics including format and layout, internal principles and characteristics including outline and classificatory principles applied, general aspects of the schedule and the major tables, development and maintenance, and general evaluation. It concludes with some ideas and recommendations for future research and development.
Influence of Design and Application Management Information System on Performance at The Pengujan Fish Seed Center

The use of information systems is needed in increasing productivity in a company.The management information system is described as a pyramid building where the base layer consists of information, transaction explanations, status explanations, and so on.The Pengujan Fish Seed Center (BBI) is the Fish Seed Center of the Department of Maritime Affairs and Fisheries of the Riau Islands Province, which is located on Jalan Raya Selat, Bintan II, Pengujan Village, Teluk Bintan District, Bintan Regency.Pengujan Fish Seed Center has a fairly reliable information system as several years ago, community service was carried outand a database was designed in the form of an application that stores data on fish seed production in each cage every day during the fish harvest.This research is quantitative.The results of the data analysisfound that 1) the design variable has a partially significant effect on the Performance (Y) of the Pengujan Fish Seed Center.2) the application of (X2) has a partially significant effect on the Performance (Y) of the Pengujan Fish Seed Center and 3) the design and application simultaneously have a significant effect on the performance of the Pengujan Fish Seed Center.
Understanding Dependencies in Your ARM Template

In Chapter 8, we reviewed how to define the resources that will be part of your environment. This chapter will cover how to create multiple dependent resources to understand better the deployment order and how Azure Resource Manager (ARM) evaluates dependencies across various resources. This chapter will also focus on how you can define dependencies in your ARM template.
The Influence of Intellectual Intelligence and Learning Motivation Against Student’s Mathematics Learning Outcomes In Region 3 Kelurahan Pegadungan Jakarta Barat

This study aims to prove the influence of intellectual intelligence and learning motivation on students' math learning results partially or simultaneously. Defenisi learning results in this study is the acquisition of the student's learning process in accordance with the objectives of teaching in the cognitive sphere covering aspects of C1 (remember), C2 (understand), and C3 (applying). Intellectual intelligence or IQ is often referred to as intelligence that refers to a person's cognitive abilities, namely high thinking ability in an effort to improve a student's abilities, the ability to reason to plan problems, understand ideas, use language and learn. Learning motivation is a mental drive or strength that encourages, moves, and directs students to learn. This research uses quantitative approach with survey method. The sampling technique uses propotional random sampling techniques. The sample of this study was grade 6 students with a total of 92 students. Instruments used in the form of IQ test data, questionnaires and tests. Data analysis using multiple linear regression regression. The results showed that (1) Intellectual intelligence has a significant influence on students' math learning outcomes, (2) learning motivation has a significant influence on students' math learning outcomes, (3) Intellectual intelligence and learning motivation have a significant influence on students' math learning outcomes. The results of this study can be used as a reference for schools that want to get maximum student math learning results.
Analog Signals and Digital Time Series

A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual and all the figures from the book as PowerPoints for course instructors.
VacoPie: Visualizing Variance and Covariance Information onto Categorical Distribution of Data

Visualization of data is considered to be an important area of Data Science. Data visualization symbolizes the efforts that help people in understanding the significance of data in a better way through representing it in a visual context. The patterns, trends, and correlations that might go undetected in raw data can be exposed and recognized effectively with data visualization methods. Here our aim is to recognize the limitations of the existing visualization approaches and to present a novel data visualization method.
UAV Test Data Generation Method based on CycleGAN

Unmanned aerial vehicles (UAV) have developed rapidly in recent years. With the popularity of artificial intelligence, UAV has been closely related to the military, economic and life fields. However, there are still security concerns with intelligent software. If these hidden dangers appear in reality, they will cause economic losses and even endanger people&#x2019;s lives. Thus, intelligent software must be tested and verified before they can be put into service. To ensure the effectiveness of testing, we need to generate high-quality, large-scale and low-cost datasets. However, due to weather, technical conditions and other factors, the existing datasets are difficult to meet the demand. Accordingly, we propose a novel method to generate dataset for UAV software testing based on Cycle-Consistent Adversarial Networks (CycleGAN) in this paper. In addition, We conduct experiments and verification on the real dataset of Google Maps. The results show that even if the dataset is disturbed, the images we generate are still of high quality.
Development of a Reinforcement Learning System for Mobile Robots with ROS

We propose a ROS (Robot Operating System) based reinforcement learning system for mobile robots. Previous ROS based reinforcement learning systems have a problem that a mobile robot state does not change by the mobile robot action. For example, if the mobile robot state is an image, learning the mobile robot action is difficult because the image does not change though the mobile robot action changes. To address the problem, the proposed system returns a reward and a next state when a mobile robot action, for example linear and angular velocity, is done by observing the wheel odometry of the mobile robot. We evaluate the proposed system in the simple visual navigation task that is implemented in ROS and Gazebo. Experiment results show that the proposed system works well and improves sample efficiency.
Feature Extraction from Classical Dance Motions using Sparse Modeling

In the service field, it is important not only for efficiency but also for the impression that the interaction with the robot gives to people. Therefore, the purpose of this study is to generate meaningful motions for communication robots. In this study, we extract the features of motions that express a certain meaning from classical dance motions that have different characteristics depending on the region. We are trying to solve the difficulty of data analysis, including small number of data and many dimensions, using sparse modeling. By extracting features using sparse modeling and classifying the dance motion data using the features, we examined the validity of the extracted features. First, we tried to extract the features of the motions that express the meaning, but we have not yet succeeded in extracting them. On the other hand, it was found that it is possible to extract common features between dances with regional characteristics.
Building Your First Azure Resource Manager Template

This chapter will cover how to build your first Azure Resource Manager (ARM) template that will create a storage account in Azure. We will go over the core elements of an ARM template to better understand what the Azure Resource Manager capabilities are and how you can leverage ARM templates based on your organization’s needs.
Face Recognition Techniques: A Survey

A lot of research work and development is taking place in being carried in field of face recognition, now a days. A face recognition process has two pillars: face detection and face recognition. A number of techniques are being used these purposes. The accuracy of all those techniques vary and separate techniques for detection and recognition are in practice at present. In this paper we will give an insight to accuracies of different face detection and recognition techniques which are being widely used by researchers and developers.
The Ethics of Data Sharing

MODERATORS: Jennifer N Workman Editorial Client Manager J&J Editorial, LLC Cary, North Carolina Jennifer Lee Mahar Managing Editor Origin Editorial, Massachusetts SPEAKERS: Shelley Stall Sr. Director, Data Leadership American Geophysical Union Washington, DC Matthew Cannon Head of Open Research Taylor & Francis Group Abingdon, United Kingdom Trevor Lane Education Consultant, AsiaEdit Council Member, Committee on Publication Ethics REPORTER: Simona Fernandes Quality Lead Enago, Mumbai Promoting data sharing among the scientific community is important; it helps in the advancement of science in small increments rather than through single blockbuster studies. Data sharing ensures replicability and thereby, helps confirm a study’s findings. It accelerates the time taken to progress from one breakthrough to the next and reduces the time and costs required to gain confidence about a particular discovery. However, many authors are reluctant to share their data, and editors, publishers, societies, and individual journals need to be able to access these data to promote transparency and fair practices in their publications. The panel comprised Shelley Stall, Matthew Cannon, and Trevor Lane. Using cases and polls, these experts shared examples of the ethics-related muddle one often finds themselves in when it comes to data sharing and responsibility. The importance of verifying data and investigating them in case of ethical issues was emphasized. The session proceedings will particularly benefit individuals in scholarly publishing who would like to learn more about editor responsibilities, investigations when ethical issues arise, and the verification process. Trevor Lane opened this session by discussing data problems, the practices […]
THE MEDIATING EFFECT OF ORGANIZATIONAL LEARNING IN THE RELATIONSHIP BETWEEN ENTREPRENEURIAL ORIENTATION AND SOCIAL CAPITAL: EVIDENCE FROM TUNISIA 

This research investigates the mediation process and shows how each dimension of the social capital (SC) either -structural, cognitive and relational-affects entrepreneurial orientation through organizational learning.This study was conducted on 235 Tunisian firms.The results of the empirical analysis indicate that only the cognitive dimension of the social capital has a positive and a significant effect on the entrepreneurial orientation (EO), and that the mediating effect of organizational learning in this relationship is insignificant as it remains partial.Thus, organizational learning partially leads the cognitive social capital to enhance a firm's entrepreneurial orientation.Therefore when actors share the same vision, culture and goals, they can avoid any potential misunderstandings in their communication, they are able to exchange ideas, resources, and information.This means they proactively seize opportunities favoring the creation of new creative products and services while being more inclined to take risks.
Quantum Gates and Circuits

In the previous chapter, I discussed the state of a qubit and what putting that qubit in superposition does to its state. You learned about the complex nature of that state and how to represent it using some linear algebra and the Bloch sphere.
Preface

Information, knowledge, and technology occupy significant space in the information and knowledge society and ongoing debates on development such as sustainable development goals (SDGs) agenda 2030 and the fourth industrial revolution (4IR). Disruptive technologies and cyber-physical systems, obscuring the lines between the physical, digital and biological, escalated by the COVID-19 pandemic, present a ‘new normal’ that profoundly affects the nature and magnitude of responses required to sustain and benefit from the new developments. Africa, known for its late adoption of new technologies and innovations, is leapfrogging development stages in several enviable ways. This book, Information knowledge and technology for development in Africa’, written by eminent African scholars, comprises chapters that satisfactorily address information access, artificial intelligence, information ethics, e-learning, library and information science education (LISE) in the 4IR, data literacy and e-scholarship, and knowledge management, which are increasingly essential for information access, services, and LISE in Africa. We expect the book to support research, teaching and learning in African higher education and worldwide for comparative scholarship.
Mathematics for Quantum Computing

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Development of an educational resource for studying the graphic editor Adobe Photoshop

The paper analyzes the most popular Internet resources for educational services. Particular attention is paid to the study of the web platform Moodle, which was used to develop an educational resource for learning the graphic editor Adobe Photoshop. The advantages and disadvantages of this platform are established. Based on the analyzed web platform, documentation of the educational web resource was provided, as well as steps to develop the web resource using the Moodle web platform. With the help of the goal tree, the main tasks in creating an educational resource are identified. Information and functional models of the educational web resource are built, which will help to determine the stages of its development and filling with educational materials. The optimal structure of the course for studying the graphic editor Adobe Photoshop is offered and the prospects of introduction of the educational web resource are given
GDScript in a Nutshell

Behind every game, there is a programming language that powers it. GDScript is the one that’s custom-made for Godot. It is simple, clutter-free, and tightly integrated with the engine, with its creators deeming it easy for beginners to learn. It was created with the intent of helping users focus on the engine rather than on spending time learning how to integrate code written in other languages. It also enables developers to easily get rid of bugs in the engine code and effortlessly introduce new features. That being said, Godot also has support for other languages such as C++ and C#, among others, which are primarily supported by the Godot community.
Using ASTER Remote Sensing Data Set for Geological Mapping around Wadi Umm Ashira and Wadi Tilal Al-Qulieb, Northwestern Part of Wadi Allaqi, South Eastern Desert, Egypt

This study is an attempt to apply ASTER (VNIR & SWIR) data and fieldwork to identifying variations in rock units and structural elements.The study area is located in the northwestern segment of the Wadi Allaqi, South Eastern Desert, Egypt.Color Ratio Composites, band math, false color composites and principal component analysis techniques are used to refine the different lithologic units in the area.These methods showed the discrimination of different types of metamorphic and igneous rocks as well as dykes.The False color band combinations (b4, b5, b3) in RGB, Color Ratio Composites (4/1, 6/2, 8/2) and (4/7, 3/4, 2/1 respectively) for RGB are showing a good composite which separated between the different rock types in the study area especially, serpentinites, talc carbonate and marble.The Principal Component Analysis technique of ASTER (PC3, PC1, PC4 in RGB respectively), (PC2, PC3, PC1 in RGB respectively) and (PC4, PC2, PC1 in RGB respectively) enhances the main structural trends affecting the area under investigation.These images are considered good for lithologic and structural edge enhancements for both visual interpretation and field mapping.FCC image 4, 5, 3 in RGB is showing a large open fold as well as the major left-strike slip fault and restraining (augen) shape as a result of being affected by the Allaqi Heiani shear zone.The axial plane of an anticlinal fold-oriented NW-SE and is plunging with a moderate angle to the SE.The major strike-slip fault is wadi Um Arka sinistral fault that runs subparallel to Um Ashira major fault that led to lateral movement of metasediment and the marble bands horizontal displacements of about 100 m to 747 m.Restraining bend structure (sigmoidal=augen shape) formed a result of a sinistral fault.The final map according to field study and remote sensing methodology showing the lithological composition and structure localities.
Usability Evaluation of Mobile Applications in Indonesia

&lt;div&gt;Indonesia has one of the world&#039;s fastest-growing mobile applications&lt;/div&gt;&lt;div&gt;markets.Due to the increasing population of Indonesia and with the growing number of&lt;/div&gt;&lt;div&gt;mobile applications in Indonesia, a user-friendly interface is important to stay in the&lt;/div&gt;&lt;div&gt;competition . In this study, we evaluated three big mobile applications for various&lt;/div&gt;&lt;div&gt;purposes. We conducted a separate experiment for each application. The first&lt;/div&gt;&lt;div&gt;experiment evaluated DANA, one of the most-used e-wallet. There were seven subjects&lt;/div&gt;&lt;div&gt;recruited with ages ranging from 35 to 53 years for the first experiment. The second&lt;/div&gt;&lt;div&gt;experiment recruited eight subjects aged 20 to 50 years to evaluate GOJEK, the leading&lt;/div&gt;&lt;div&gt;taxi booking, delivery, and payment application. The third experiment evaluated Blibli,&lt;/div&gt;&lt;div&gt;one of the biggest e-commerce applications. A total of 7 subjects with ages ranging&lt;/div&gt;&lt;div&gt;from 53 to 63 years were recruited in the third experiment. Think aloud protocol and&lt;/div&gt;&lt;div&gt;system usability scale (SUS) questionnaire were used to evaluate the usability of the&lt;/div&gt;&lt;div&gt;applications. From the collected data, the SUS scores were found as 65.71%, 70.63%,&lt;/div&gt;&lt;div&gt;and 76.07% for DANA, GOJEK, and Blibli, respectively. The evaluation results&lt;/div&gt;&lt;div&gt;showed the mobile applications we tested to be acceptable. However, the applications&lt;/div&gt;&lt;div&gt;need to undergo further improvement in order to increase their acceptability.&lt;/div&gt;
A Theoretical Review of Information Technology as Capital Goods

This paper attempt to present theoretical discussion related to information technology (IT) growth and its economic impact towards profitability to financial institutions. Classical theories, production and management theories and profit and profitability theories in relation to IT were discussed.
What's New Online

Recent narrative reviews have described the potential efficacy of providing individuals infected with COVID-19 with additional micronutrients to reduce disease severity.The objective of this scoping review is to explore and describe the literature examining the effect of providing additional micronutrients or conditional amino acids (glutamine, arginine) in adults with conditions or infections similar to COVID-19 infection on COVID-19 related health outcomes.