Reviewerly/exHarmony huggingface dataset:
3D Map Generation from Omnidirectional Images Using Sphere Mapping of Features

In this paper, we propose a robust and fast 3D data reconstruction method for large FoV(Field-of-View) cameras. Large FoV cameras are beneficial in many vision systems because they increase visual overlap and capture more pixels of data from the environment. However, most vision systems operate based on the pinhole camera model. This leads to problems when using large FoV cameras, such as distortion or decreased resolution. Other methods address this problem by using different camera models (e.g., mapping overall images onto a cube surface), but this increases the amount of data processing required, and distortion is not completely eliminated. To address these issues, we propose a method in which 3D data is generated from large FoV images using sphere mapping of features. The proposed method has two advantages. The first is robustness since the sphere model uses the full FoV without distorting the images. The second is speed, arising from the fact that only the feature points are mapped and not the entire image. The proposed system is compared with others on various image sequences. The results show that, within the same amount of processing time, our system can generate a greater number of successful mappings, with greater accuracy, compared to the other approaches.
An Approach to the Computation of the Euler Number by means of the Vertex Chain Code

We present an approach to compute the number of holes in binary images using the Vertex Chain Code (VCC); the VCC was developed for representing and analyzing 2D shapes composed of cells. Using this code, it is possible to relate the outer to inner vertices of any 2D shape and to find interesting properties. Now, in this paper, we describe more properties of the VCC, such as the computation of the connected regions in a hole, the analysis of complementary chains, the computation of the number of holes in a binary shape or image, the computation of the Euler number, and the detection of convex and concave shapes. Finally, in order to illustrate the capabilities of proposed methods, we present the computation of topological properties of examples of objects of the real world.
Organizational Transformation Readiness Attributes: A Development of Self-Assessment Tool for Thai Private Universities Transformational Readiness Assessment towards Strategic Positioning

Organizational transformation is a complex and important issue for many organizations. It is associated with all organizational operations and requires systematic management. Developing a transformational readiness assessment tool is essential for university transformation because it enables university administrators to understand current readiness status and gain useful information for transformation planning. It also helps to reduce problems caused by lacks of significant factors and create synergy among university personnel, which leads to the achievement of organizational transformation goals. The objective of this research was to study the characteristics of key readiness categories in order to develop a self-assessment tool for the organizational transformation towards strategic position of Thai private universities. The qualitative method was used to study related documents and collect information from the key informants. The typological analysis, analytic induction, and content analysis techniques were applied to analyze the data. The research results showed that there are 8 readiness categories that are important for the assessment of transformational readiness: university profile, university’s size, environment underpinning, target market and core business, resource, strategic focus, management, and cultural. Universities can use the transformational readiness assessment tool to assess their transformation readiness, determined strategic plans, and develop readiness factors in various categories in order to accelerate organizational operations, which contributes to the success of organizational transformation towards strategic position and the achievement of organizational competitiveness under changing external circumstances.
Training Young Cybersecurity Talents – The Case of Estonia

The harsh reality of the online world today is that the survival of companies - and even countries - depends on the availability of adequate cybersecurity talent pool. Different countries run programs like CyberPatriot or the European Cyber Security Challenge to spark overall interest towards cybersecurity, but also to find those suitable for a cybersecurity career and start building it from an early age. Despite this, lack of qualified cybersecurity personnel is a growing problem as many educational facilities regard cybersecurity as a ‘second-tier’ field and keep targeting those who already come from IT background. As seen from Estonian experience, even if there is a growing trend of introducing robotics and programming at schools this is not sufficient. This paper describes the Estonian experience with the CyberOlympics/CyberSpike program from 2017–2019 and reflects on the lessons learned about talent building in cybersecurity. The data was collected using mixed methods, using both qualitative and quantitative analysis; it includes results from the competition, self-evaluation, external evaluation, discussion, and personal stories. The findings show the importance of building up security culture, the substantial impact from “bad/good neighborhoods” and role models as well as the importance of training (with a special notion on gamification), chances to test one’s skills and also safely report bugs and security holes in online services. In addition, the results show that at the Capture the Flag (CTF) type of competitions, the younger age group outpaced their older peers, regardless of the latter having the advantages of the university and/or work experience.
Unraveling Data Science, Artificial Intelligence, and Autonomy

This chapter explains the commonalities and differences in the fields of data science, artificial intelligence, and autonomy. It provides a historical perspective for each of these fields, followed by an exploration of common technologies and trends in each field. Data collection and analysis have been around long before the advent of the computer. A notable example is the work of Matthew Fontaine Maury, who was known as the “Scientist of the Seas.” A primary focus of new products was expert systems built upon rule-based engines. This was short-lived, as expert systems never achieved full acceptance due to the narrowness of the problems they could solve. So, the field experienced another winter in the early 1990s. They provided high-speed polygon rendering and were optimized for mathematical processing instead of general-purpose computing. The field of autonomy is dominated by modern robotics, driverless cars, and drones. Three main components of an autonomous system include sensors, reasoning, and actuators.
The Development of the Wireframes Design for Usability under the ISO 9241-151 Standard

This research aims to design a wireframe according to the usability test and the ISO 9241-151 standard. The procedure starts with collecting data from 400 website users with questions under the ISO 9241-151 standard and collecting data from interviews with Design Thinking technique from 20 web designers with evaluation interviews based on the System Usability Scale from 3 websites chosen as the sample space for data collection; namely sanook.com, kapook.com and dex-d.com. After analyzing the data from the sample group, a wireframe and site map is then built. Then, 5 experts will test the wireframe design based on the hypothesis created by the research. The results show that analysis of sample sites usage has a significant statistical relationship with wireframe design at level 0.05. With the System Usability Scale, wireframes and site maps have been designed to be assessed by 5 design specialists. Results appear that Header and Content design have been rated as Good by 3 specialists and Satisfactory by 2. Navigation and Information search was rated as Very Good by 2 and Good by 3. The content display has been rated as Very Good by 2 and Good by 3. Other topics have been rated as Very Good by 3 and Good by 2. Compiling those results conclude that this wireframe design is efficiently operational under the ISO 9241-151 standard, allowing design enthusiasts to collect information from this research to guide their future site designs. In the future, there should be some additional of other types of website design to cover more of the website designers' needs.
HYBRID AND BLIND WATERMARKING APPROACH FOR THE SECURITY OFDIGITAL IMAGES IN RIDGELETDOMAIN

AbstractIn this paper, hybrid and visually impaired watermarking plan is proposed for the assurance of copyright ofcomputerized pictures. The plan dependent on hybridization of two development changes with the end goalthat Ridgelet change and strong rule part examination (RPCA) are utilized in which edge let coefficients areutilized installing process in the wake of going them through SVD deterioration. The inspiration drivingutilizing these two strategy's blend is to improve the indistinctness of the watermarking plan. The subtletyprerequisite of the plan is accomplished utilizing half breed coefficients which are accomplished by applyingRPCA to power part of HSI changed over host picture. Them L framework of RPCA is utilized to removethe high recurrence ridgelet coefficients of the spread picture. The watermark data is embedded by resizingthe watermark to 128*128 sizes. The security of the proposed plot is accomplished by applying Arnoldscrambling to watermark picture before implanting. SVD is applied to both mixed watermark and Ridgelethigh recurrence coefficients. Examinations of the proposed plot are led on different sorts of commonpictures. Examinations results show that, contrasted and existing plans, the proposed conspire is hearty todifferent assaults while having high intangibility. Additionally, the proposed plot is performed superior tomany existing plans.
A Cyclogram of an Energy Efficient Step of a Mobile Robotic System with Wheel-Walking Propulsion

Mobile robotic systems are employed to perform a wide range of transportation and technological tasks. One of the main requirements to these systems is their high capability to traverse complex terrains and surfaces. Future applications of wheel-walking mobile systems largely define the problem of their energy efficiency. This paper presents a mobile robotic system with wheel-walking propulsion that can increase the system’s traverse capability on support surfaces with low bearing properties due to a new chassis layout and algorithms controlling the walking module. A cyclogram of the energy efficient step of the mobile robotic system with wheel-walking propulsion is developed, which provides high indicators of traverse capability on support bases with low bearing capacity.
Analytical Solutions for Entanglement A Superposition of Spin Coherent States with Non-Phase Coherence Parameters

In this work, the entanglement of a superposition of bipartite qubit coherent states with non-phased coherent parameters is studied. We use Generalized-concurrence as the measure to quantify the entanglement and drive analytical results in terms of the effective parameters involved. Analyzing the results, we conclude that such states may attain maximum entanglement or no entanglement at all, depending on the choice of the parameters involved.
Initial Analysis of Simple Where-Questions and Human-Generated Answers

Geographic questions are among the most frequently asked questions in Web search and question answering systems. While currently responses to the questions are machine-generated by document/snippet retrieval, in the future these responses will need to become more similar to answers provided by humans. Here, we have analyzed human answering behavior as response to simple where questions (i.e., where questions formulated only with one toponym) in terms of type, scale, and prominence of the places referred to. We have used the largest available machine comprehension dataset, MS-MARCO v2.1. This study uses an automatic approach for extraction, encoding and analysis of the questions and answers. Here, the distribution analysis are used to describe the relation between questions and their answers. The results of this study can inform the design of automatic question answering systems for generating useful responses to where questions.
Corrections to “No-Reference Stereoimage Quality Assessment for Multimedia Analysis Towards Internet-of-Things”

In the above article <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> , there is minor mistake caused by numerical type position. The number 6.4912 in TABLE 4 should be typed as 0.7577. The number 0.5777 in TABLE 5 should be typed as 6.4912.
Cubic Law and MAP Compensation Techniques for Robust Text-Independent Speaker Identification

Automatic speaker recognition is drastically degraded in presence of noise. This paper focuses on the application of the cubic law and histogram mapping for the text-independent speaker recognition task. Our aim of this study is the application of these two methods in the feature extraction stage of the Power-Normalized Cepstral Coefficients (PNCC) and the conventional Mel Frequency Cepstral Coefficients (MFCC) techniques. Recognition results show that the cubic law combined with the histogram mapping improve the recognition rates.
A Clinical Decision Support System for COVID-19 Severity Risk Prediction

Risk assessment of COVID-19 patients in a quantitative, nonsubjective way is extremely important for the management of individual patients and for
From Information to Assistance

When Johnson was writing this, said libraries were very exclusive, inaccessible to most. When I was growing up the library was a favorite place to find information with the help of expert assistants, trained librarians. Nowadays, while libraries are still one of my favorite institutions, we have powerful digital information search, retrieval, and assemblage services, bundled into easily accessible tools at our fingertips. As information proliferates and human information needs remain high, information retrieval will continue to be a central area of investigation. We will also need better and better tools to access, assemble, and represent that information in ways that can be understood and applied-tools that ensure information turns into knowledge that is useful and used. In this talk, I will focus on how people find information, and how the tools we build aid in that finding. Using case studies, I will outline some that remain challenging, and offer some case studies and edge cases where more work is needed. I will share thoughts on how emerging assistant devices and services are and are not meeting the challenge of becoming expert information assistant
SISTEM INFORMASI PEMBAYARAN SEKOLAH DENGAN MEMANFAATKAN TEKNOLOGI BARCODE BERBASIS MULTIUSER DI SMP MUHAMMADIYAH 3 SEMARANG

Along with the development of information technology that is increasingly rapid, the use of information technology at this time is an important requirement in every agency or company An educational institution requires good administrative management with the aim to improve services to students, the school payment system in the form of Education Provision Contribution (SPP) and Donation of Institutional Development (SPI) at SMP Muhammadiyah 3 Semarang is still done conventionally, where the recording of data and the payment process of SPP and SPI are written into diaries, ledgers and spreadsheet applications which results in the accumulation of data in the form of archives. In the data collection of students and the payment process takes a relatively long time, so that during the payment process results in long queues in the administration and requires a long time to make payment reports and arrears SPP and SPI which are needed quickly.Developments in the field of science and technology were developed with the aim of solving problems and making it easier for users to complete work tasks. The use of barcode technology is one of the technologies that can respond to the provision of fast, accurate and accurate information. Barcode technology is applied to student cards that function as student IDs and also as student payment cards
Fault Diagnosis System of New Energy Vehicle Based on Hidden Markov Model

Information technology has been developed rapidly, but various types of network attacks are constantly emerging, ensuring the security of information networks has become an urgent need. Starting from network security situation awareness, this paper expounds Markov theory and designs Markov game model. In the model, the system security is improved through security reinforcement and risk repair. The experiments verify that the algorithm in this paper is superior to the risk assessment model of propagation.
Enhancing Data Security Using DNA Algorithm in Cloud Storage

With exponential growth of data, it is hard to store the data locally. To overcome this issue, the individuals and organizations move forward to store their data in cloud. In some cloud storage systems, like electronic health record system, the cloud contains several sensitive information that should not be exposed to unauthorized users. To ensure this, we propose a strong encryption technique using an efficient DNA encryption algorithm. To secure the data, even if an attack occurred it is not possible for an attacker to leak the sensitive information of the user, because of the strongly proposed DNA algorithm. In this scheme, a private key generator is used for an individual’s authentication process to generate a unique key to log in. For sanitizing the sensitive information, the sanitizer verifies the corresponding data and signature of the EHR to be a valid one to store them in the cloud. Third-party auditor is used to verify and audit the integrity of the signature stored in cloud on behalf of the organization. To ensure the encrypted data is safe, we propose a decrypting tool, where if the attacker tries to attack or decrypt the sensitive information, the data could not be decrypted and will not be in a user-readable format.
Coherence Enhancement Based on Recursive Anisotropic Scale-Space with Adaptive Kernels

The reduction of unnecessary details is important in a variety of imaging tasks. Image denoising can be generally formulated as a diffusion process that iteratively suppresses undesirable image features with high variance. We propose a recursive diffusion process that simultaneously computes the local geometrical property of the image features and determines the size and shape of the diffusion kernel, leading to an anisotropic scale-space. In the construction of the proposed anisotropic scale-space, image features due to undesirable noise are suppressed while significant geometrical image features such as edges and corners are preserved across the scale-space. The diffusion kernels are iteratively determined based on the local geometrical properties of the image features. We demonstrate the effectiveness and robustness of the proposed algorithm in the detection of curvilinear features using simple yet effective synthetic and real images. The algorithm is quantitatively evaluated based on the identification of fissures in lung CT imagery. The experimental results indicate that the proposed algorithm can be used for the detection of linear or curvilinear structures in a variety of images ranging from satellite to medical images.
Trend analysis combined with expert system applied to real-time monitoring of motor running status and warning of abnormal status

With the advancement of technology, industrial automation makes power equipment play an indispensable role in the industry.Power equipment is an indispensable source of power for manufacturing.Therefore, if the equipment is under high pressure, high temperature and high load for a long time, if there is an unwarned shutdown, it will cause huge economic losses.Although regular maintenance is used for maintenance work, it can reduce the occurrence of unwarned downtime, but it also consumes a lot of waste of human and material resources.Therefore, if you can know the real-time running status of the power equipment and the possible causes of the fault, early maintenance personnel can perform machine maintenance and troubleshooting to help improve the reliability of the system.Predictive maintenance is a kind of pre-warning and planning correction behavior.Through the analysis of the data, it can detect the initial abnormal reduction of the equipment's additional energy consumption caused by the failure and improve the maintenance efficiency.According to the U.S. Department of Energy, "Operations and Maintenance Best Practices", it can save about 5%~20% energy.In this study, the acceleration amplitude is used as the basis for instant detection.Collect the acceleration amplitude of the motor in the normal running state, and count the acceleration amplitude threshold of the motor in the normal running state.Monitor the amplitude of acceleration in real time to observe the running trend of the motor.When the running trend exceeds the normal range, the vibration spectrum characteristics combined with the expert's rule are used to determine the possible abnormal types of the motor.
A Comprehensive Study on Analytics of Social Media Text using Deep Learning

Text Analytics has likewise been called text mining, and is a subcategory of the Natural Language Processing (NLP) field, which is one of the establishing parts of Artificial Intelligence, harking back to the 1950s, when an enthusiasm for understanding content initially created. At present Text Analytics is regularly considered as the following stage in Big Data examination. Text Analytics has various developments: Information Extraction, Named Entity Recognition, Semantic Web commented on area's portrayal, and some more. This study shows detailed description of text analytics with their concepts & techniques. This study helps to identify various methods that can improve its performance. This work provides an detailed description of various methods related to text analytics.
Hybrid Development of Teaching and Reading Online Course Based on FA Algorithm

The rapid development of information technology and storage technology provides a realistic possibility for the construction of Japanese interpretation corpus. Based on the platform of antConc, a database retrieval software, this study chooses the 20 representative texts in the Qing Kong corpus This is a Japanese novel. The lines in the novel are processed by data, and a small Japanese Corpus is built to provide useful reference for Japanese classroom teaching.
Tested Perceptual Difference Between UHD-1/4K and UHD-2/8K

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">The screen size and the resolution of the displays available to the consumer market have been steadily increasing. According to established vision science, there are limits to the human visual system for the perceptibility of resolution at typical viewing distances. This paper discusses a subjective evaluation that was performed to assess the perceptual difference between UHD-1/4K and UHD-2/8K for various types of content on an UHD-2/8K consumer display. It also performs a detailed frequency and visibility analysis of the content to determine the characteristics of the most perceptual content and establishes a relationship between the subjective test results and the vision science</i> .