Reviewerly/exHarmony huggingface dataset:
Optimal Path Planning of a Redundant Robot in Food Industry

In food industry, the market demand for product customization is increasing. However, this task is mostly demanded to skilled operators that are very difficult to find in peak production periods. Fortunately, some tasks, such as writing customized text and drawings on food, can be fulfilled by industrial robots.In this paper, we propose to perform such tasks by installing a special equipment (dispenser) off-axis with respect to the last joint of the robot, thus introducing redundancy in the robotic task: by rotating the dispenser along the axis of the nozzle, the same writing point on food can be reached by infinite different robot configurations. A path planning optimization technique that considers redundancy is presented, which allows to minimize cycle time or reduce energy consumption. To validate the method proposed, simulations of text decoration of cakes by a SCARA robot have been carried out.
Benefits of Digital Technical Information

In our daily work life, we use a wealth of information, including a category of information produced as a part of products and their life-cycle phases, named digital technical information (DTI). Ma ...
LibGuides: Campus Study Spaces: Merkert-Tracy Hall

Find places to study or to take a class remotely in one of the many spaces available on campus.
The Elektrichestvo Journal Turns 140

The article briefly outlines four publishing stages of the journal, the first number of which wasissued an Juli 1880. The first stage cvers the period from the time Elektrichestvo journal began to be publiched to the revolution in 1917; the second stage covers the period from 1922 (the year which the publishing of the jpurnal was resumed) yo the beginning of the Great Patriotic War; the third (post-war) stage covers the period from 1944 to 1984 (before the Gorbachev's reforms in the former Soviet Union, commonly known as perestroika), and the fourth stage covers the period from 1985 to nowadays. The iournals 140-year history is considered in the context of social and cultural realities of each stage, which are reflected in the publiched materials. Special attention is paid to the participation of members of the Russian Academy of Sciences in the journal activities and to publications on education to electrical engineering.
LibGuides: Campus Study Spaces: Home

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An Improved Approach for Human Motion Simulation and Sports Analysis based on Dynamic Image Analysis

With the development of computer vision technology, human motion capture can accurately analyse the mobile state of human body and transform it into accurate data report, so as to achieve better physical training effect. In this paper, the author makes an improved approach for human motion simulation and sports analysis based on dynamic image analysis. In the virtual reality, the most intuitive application of motion capture is the 3D animation film. The motion capture algorithm is used to estimate the body's posture and body shape by taking the action posture of the human being.The results showed that the proposed design can improve the accuracy of motion estimation, it can also effectively analyse the sports movement. At the same time, through the analysis of the motion state, the action capture can achieve better physical training effect.
PIIRTO PYRAMID OF TALENT DEVELOPMENT AS A FRAMEWORK FOR UNDERSTANDING FUNCTIONAL LITERACY

The paper is dedicated to issues of creativity within several models with a special focus on the Piirto model of creativity. Creativity and innovation are seen as a fundamental competence that enables participation in all forms of social life and work. Creativity in the service of man means being able to solve problems in environments that are becoming increasingly complex. Creativity as such requires a certain degree of literacy. The Piirto model offers a conceptual framework for understanding talent and/or creativity. The model can serve as a framework for interpreting functional literacy that emphasizes the role of family environment, culture and community, school, gender identity, and the factors of chance, ie happiness. In this paper, we will offer the basic starting points of the Piirto model of talent development, and try to interpret this model as a framework in understanding functional literacy.
DR. ANNIE BESANT AND HER CONTRIBUTION TO EDUCATION IN INDIA

The paper manages the profound education with uncommon reference to Dr. Annie Besant's perspectives on education wherein her life and social way of thinking impact on Indian educational system. The paper additionally manages her theosophical way of thinking dependent on the standards of 'The Unity of God' and of 'The Universal Brotherhood' which are the fundamental piece of profound education. An endeavour has been made to perceive, grasp, discover, break down, combine, assess and fundamentally look at the prevailing variables answerable for reinforcing otherworldly education with respect to Dr. Annie Besant's perspectives. It is education which assists with satisfying the intrinsic limit of people through the Theosophical Idea of Education dependent on Universal Brotherhood, Self-control, Self-investigation, Self-regard, Control of psyche, self-acknowledgment, self-talk with otherworldly arrangement, Love and Sympathy, Service, Freedom, Patience, Peace and Tolerance and to set them up to take care of the ordinary issues. Annie Besant was an Irish political dissident, independent person and Fabian communist. In the wake of grasping Theosophy under the tutelage of Helena Petrovna Blavatsky, a Russian spiritualist, Besant set out on her strategic spreading theosophical standards, and arrived at the shores of India in 1893. In India Hinduism entranced her to such a degree, that she gave herself to advancing Hinduism. She visited the length and broadness of India, and addressed seriously on the grand beliefs of Hinduism. In any case, Besant was of the supposition that nonattendance of strict education in government schools and universities and instructing of Christianity in preacher educational organizations was answerable for strict lack of bias and doubt among Hindu youth, and subsequently the fallen territory of Hinduism. To cure this state, she underlined the requirement for its recovery, and spread the possibility that strict education of Hindu young people should turn into a necessary piece of their education. So as to concretise these thoughts, Besant set up a school for the strict education of Hindu youth in the heavenly city of Benares, in India, in 1898. Besant is generally known in India for her political exercises as author of Home Rule Movement and as the main ladies President of Indian National Congress, the boss ideological group engaged with the battle for national opportunity. Despite the fact that Besant's political profession in India has been widely investigated, little is thought about her educational thoughts and exercises. “She loved India with a fervour and devotion all her own. Our country’s philosophy, our history or legends, our spiritual heritage, our achievements in the past, our sorrows in the present, our aspirations for the future were part and parcel of Mrs Annie Besant’s own life.” – Sri Prakasa in Indian Political Thought.
LibGuides: Learning at WAB: Learner Model

Bringing our definition of learning to life through our FLoW21 Targets and relationship with other organisations.
Study on Detection of Public Opinion and Its Methods in We Media

Abstract In the era of We Media, the timely and comprehensive monitoring of online public opinion by means of computer technology has become an urgent necessity. The paper first discusses the new changes of online public opinion brought by We Media, then proposes strategies for monitoring and managing online public opinion, and finally introduces the design idea of the online public opinion monitoring system based on Web Crawler and Lucene.
Lite Training Strategies for Portuguese-English and English-Portuguese Translation

Despite the widespread adoption of deep learning for machine translation, it is still expensive to develop high-quality translation models. In this work, we investigate the use of pre-trained models, such as T5 for Portuguese-English and English-Portuguese translation tasks using low-cost hardware. We explore the use of Portuguese and English pre-trained language models and propose an adaptation of the English tokenizer to represent Portuguese characters, such as diaeresis, acute and grave accents. We compare our models to the Google Translate API and MarianMT on a subset of the ParaCrawl dataset, as well as to the winning submission to the WMT19 Biomedical Translation Shared Task. We also describe our submission to the WMT20 Biomedical Translation Shared Task. Our results show that our models have a competitive performance to state-of-the-art models while being trained on modest hardware (a single 8GB gaming GPU for nine days). Our data, models and code are available at this https URL.
High-resolution elastic thickness variation across Tharsis and Valles Marineris: Results from a space-domain convolution method and the implications for the structure and evolution of the lithosphere

Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Journal of Geophysical Research - Planets. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]High-resolution elastic thickness variation across Tharsis and Valles Marineris: Results from a space-domain convolution method and the implications for the structure and evolution of the lithosphereAuthorsR.T. KumarRatheesh-KumariDDhananjayRavatiDSee all authors R.T. Kumar Ratheesh-KumariDCorresponding Author• Submitting Author1. University of Kentucky & 2. Cochin University of Science and TechnologyiDhttps://orcid.org/0000-0002-1014-3043view email addressThe email was not providedcopy email addressDhananjay RavatiDUniversity of KentuckyiDhttps://orcid.org/0000-0003-1962-4422view email addressThe email was not providedcopy email address
LibGuides: Library Virtual Arcade: Activities

A collection of virtual games and activities the library staff have put together. A collection of crosswords, word searches, and other materials largely for solo activity
Research Guides: ADV 208: The Big Idea in Advertising (Fall 2020): Advertising Examples

An SU Libraries research starting points guide for students enrolled in ADV 208 (course sections taught by Profs Brian Sheehan and Mel White)
PENGEMBANGAN KEMAMPUAN BERBAHASA ANAK USIA DINI MELALUI PENDEKATAN WHOLE LANGUAGE DALAM ERA REVOLUSI 4.0

Early childhood education to develop moral potential and religious, social, emotional, independence, cognitive, language, motoric and artistic values for children's readiness connects elementary school level. Language development is one of the developments that need to be developed in early childhood. Through language that is permitted by children to translate experiences into symbols that can be used to communicate and think. Language development for kindergarten children based on reference to early childhood education standards No. 58 of 2009, developed three aspects, namely accepting language, expressing language, and literacy; (2) whole language is a learning approach that teaches language in class or school in a whole and fun way. Learning to hear, speak, read and write is not carried out separately but is carried out together in an integrated manner in all areas of ability in kindergarten. (3) Early childhood language development has a very close relationship with children's readiness in facing the 4.0 revolution era, because optimal child development will be able to stimulate all child development so that later when they are adults they will be ready to face the industrial revolution 4.0.
LibGuides: Campus Study Spaces: College Center

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Research Guides: Pedagogical Resources : Summer 2020 Library Services

This guide was created collaboratively with the Summer Pedagogical Development Committee (Summer 2020)
Artificial Intelligence and Cyber Security: A New Pathway for Growth in Emerging Economies via the Knowledge Economy?

For emerging economies, artificial intelligence (AI) and cyber security play a vital role as a catalyst to accelerate growth while providing mechanisms to protect and support critical infrastructure. In this chapter, we examine a critical question of what the implications are of the use and growth of AI and cyber security in the context of emerging economies. The chapter finds that that the application of AI tools and techniques to specific cyber security issues, such as intelligent malware and the rapid evolution of cyber-attacks, offers solutions to complex challenges faced by emerging economies. It could potentially underpin solutions for the protection of critical sectors such as education and health (cyber security) when offering a new pathway to innovation and entrepreneurship (AI), enabling co-operation and communication in the new knowledge economy. We make the first attempt to conceptualize the AI–cyber security relationship in the context of economic growth. We distil and connect the specific elements of AI and cyber security that offer an advantage to emerging countries through improved output and increased income through a conceptual framework and explain the impact it would have on specific economic factors and economic performance.
COVID 19 IMPACTS MITIGATION STRATEGIES AND LEARNING EFFICIENCY IN PRIVATE UNIVERSITIES IN KENYA

Globally, and Kenya in particular, economic growth has been and will be negatively impacted by COVID-19 shocks with direct consequences to the poor, vulnerable and marginalized households who rely on informal employment and businesses to fend for their children. The education sector in particular has been on the worrying side since the schools were closed from March 2020. Nonetheless, a number of private universities in Kenya have adopted some strategies to ensure that learning continues which was the gist in this reflective paper. The specific objectives of this study was to assess the impact of digital Education and financing strategies on online learning in Private Universities in Kenya. The study was guided by online collaborative learning theory and theory of change. Both descriptive research design and a case study approach were adopted. The target population of this study was 1460 students from Kiriri University. The qualitative data was analyzed using content analysis while quantitative data was analyzed using descriptive statistics and inferential statistics. Digital education had a significant influence on learning efficiency. Financial strategies adopted to mitigate the impact of COVID 19 had a significant influence on learning efficiency. There is need for universities to ensure that all the students have access to the digital education. The government could also provide incentives for the private universities. Key words; Digital Education, Financing Strategies, Learning Efficiency CITATION: Lagat, R. K. (2020). Covid 19 impacts mitigation strategies and learning efficiency in private universities in Kenya. The Strategic Journal of Business &amp; Change Management , 7(3), 809 – 817.
Security as a Service (SecaaS)

Security is freedom from, or resilience against, potential harm caused by others Enterprises need to protect their assets, but they also need to be profitable to stay in business. Protecting information assets has become a priority for enterprises that need to meet compliance requirements or need to protect sensitive data. The challenge for these enterprises is implementing robust security practices while keeping investment and operational costs contained. Security as service offers a way for enterprises to access security services that are robust, scalable and cost effective. When An enterprise chooses SECaaS, they are essentially choosing to relinquish control over their security to a third-party specialist. As a result, the enterprise’s overall security posture improves because security systems are maintained and administered by security specialists. SECaaS is typically delivered on the basis of a subscription, which for many companies means replacing the one-time licensing costs of security software with a reoccurring subscription. With reward comes risk, and enterprises should consider benefits and risk when evaluating Security as service products and providers. And also, enterprises need to understand that they can outsource responsibility but they cannot outsource accountability; therefore, enterprises should implement an assurance plan that includes assessing the services obtained from SecaaS providers. Security as a service enables enterprises that do not have the security expertise in-house, or the ability to recruit the required expertise, to license a professionally managed service.
Hosting Social Touch in Public Space of Merging Realities.

Is human hosting essential to social touch in the public space of merging realities? This paper explores the role of hosting in art and design for mediating social touch in public space, social robotics, virtual reality and tele-matic environments. The question of whether human hosting is essential to social touch was the focus of three experiments held during performance of artistic orchestrations designed for social touch in public space for which the effects of different hosting designs have been analyzed. These internationally presented orchestrations, Saving Face (2012) and Master Touch (2013), purposefully disrupt and re-orchestrate multi-sensory connections in unfamiliar and unpredictable ways, to evoke shared reflection and shared sense making in public space, mediated by a host.
Quantum node swapping

The focus of this work is the evolution of a quantum network where each node is initialized with a unique data entry encoding classical information such as a serial number. Each node is then probabilistically swapped with one of its immediate neighbors in a specific, but undisclosed order, resulting in a redistribution of entries across the network. In foreseeable practice, Quantum systems prevent the reliable swap of quantum states due to decoherence and imperfect circuit fidelity, but in this network model we require that if each node is measured, all data entries remain unique. Originally motivated by the desire to develop a method which results in all entries only being able to move to their immediate neighbors, we present aspects of the underlying combinatorics, and solutions to either mitigate or potentially minimize the effects of larger travel distances.
The next generation personal virtual assistant

Virtual Personal assistants are changing the way that we interact with our environment. The rise of voice-enabled devices, such as Amazon Alexa and Google Home, offer a natural and intuitive way to interact with machines to speed up and improve daily tasks.  Today’s Smart Speakers are marketed as intelligent assistants able to understand, take decisions and support people in several tasks. However, this vision has yet to fully materialize.  The next generation of VPA will be capable of carrying out complex tasks and non-routine work. They will to be able to follow entire professional conversations, formulate replies to business messages and seek documents in a company information system related to specific requests, follow up and manage users’ task and help plan meetings accordingly. The new generation should bring a paradigm change of how VPAs are designed and used, that could have profound implications on the way the business in conducted in the era of Voice computing.
Enhancing sentiment analysis using enhanced whale optimisation algorithm

Sentiment analysis is discovers the opinion of users with respect to some sentimental topics commonly available at the online social platforms. Twitter is one of the popular social networking sites where people express their views about any topic in the form of tweets. These Twitter posts are analysed to obtain the viewpoints of users by using clustering-based methods. However, due to the subjective nature of the sentimental datasets metaheuristic clustering methods outruns the conventional methods for sentiment analysis. Therefore, in this paper, a new metaheuristic method based on the whale optimisation method has been introduced. The proposed method finds the optimal cluster centres from sentimental data. The performance of proposed method has been tested on Twitter datasets and compared in respect to mean accuracy, mean recall, and mean precision, mean fitness with state-of-the-art approaches. The proposed method attains the highest accuracy for most of the datasets compared to the state-of-the-art.
Dealing with Keyvault errors due to an expired refresh token

I haven't been able to find a truly simple guide to fixing this issue so I'm posting my own:Ensure you have the Azure Command Line installedLogin
Structured learning and prediction in face sketch gender classification and recognition

Structured prediction methods have become an attractive tool for many machine-learning applications. For this reason, the objective of this paper is to identify the gender of the human being by using their face sketch applying a structured learning approach. We used a deep geometric descriptor as features and the gender as labels, and structured learning and prediction approach as matching. The basic idea is to extract perfect face ratios for the face sketch as a feature and the labels are the gender. To extract perfect face ratios, we use the landmarks point in the face then sixteen features will be extract. The training and the testing tasks are applied to CUHK face sketch dataset (CUFS). An experimental evaluation demonstrates the satisfactory performance of our approach on CUFS and the recognition rate reaches more than 98%.
A Night before the Exam

Author(s): Ohnishi, Satomi | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.