Reviewerly/exHarmony huggingface dataset:
Personalized fall detection monitoring system based on learning from the user movements

Personalized fall detection system is shown to provide added and more benefits compare to the current fall detection system. The personalized model can also be applied to anything where one class of data is hard to gather. The results show that adapting to the user needs, improve the overall accuracy of the system. Future work includes detection of the smartphone on the user so that the user can place the system anywhere on the body and make sure it detects. Even though the accuracy is not 100% the proof of concept of personalization can be used to achieve greater accuracy. The concept of personalization used in this paper can also be extended to other research in the medical field or where data is hard to come by for a particular class. More research into the feature extraction and feature selection module should be investigated. For the feature selection module, more research into selecting features based on one class data.
Distributional Analysis of Polysemous Function Words

In this paper, we are concerned with the phenomenon of function word polysemy. We adopt the framework of distributional semantics, which characterizes word meaning by observing occurrence contexts in large corpora and which is in principle well situated to model polysemy. Nevertheless, function words were traditionally considered as impossible to analyze distributionally due to their highly flexible usage patterns. We establish that contextualized word embeddings, the most recent generation of distributional methods, offer hope in this regard. Using the German reflexive pronoun sich as an example, we find that contextualized word embeddings capture theoretically motivated word senses for sich to the extent to which these senses are mirrored systematically in linguistic usage.
Pengembangan Kompetensi Literasi Digital Pada Guru Untuk Optimalisasi Pembelajaran Jarak Jauh (PJJ)

The purpose of this activity is to improve digital literacy competencies and optimize the ability of teachers to use e-learning media in the implementation of  Distance Learning (PJJ). The training materials are tailored to the needs of teachers as participants to overcome digital literacy problems that exist in schools. The method of implementation is carried out by the lecture method to deliver digital literacy competency material, training methods to provide direct experience in using e-learning applications, and dialogical methods. To measure the increase in participants' knowledge and understanding in this activity, questionnaires were given before and after training. The questionnaire contains tests for testing knowledge and understanding of digital literacy and the use of e-learning applications. Participants in this activity were all teachers of SMPN 2 Dewantara, North Aceh. This activity provides significant benefits of improving understanding of teachers' digital literacy competencies and skills in using e-learning applications that can be used in implementing Distance Learning.
Blockchain Technology in Tourism: Applications and Possibilities

The tourism industry is increasingly considered a critical part of the economy of many nations‚contributing to economic development‚ employment‚ and personal well-being. To sustain the activities of the tourism industry‚ the use of ICT and new technologies gives rise to a connected generation of smart tourists. Remarkably‚ tourism has been technologically-driven since the use of the Internet as a means to support all the phases of the travel process‚ from pre-trip decision making to the post-trip recollection. Despite propelling a paradigm shift‚ existing technologies and legacy systems present several challenges that need be addressed in order to benefit tourism developments and ensure an immersive travel experience. In this paper‚ we study the emergence of Blockchain technology and its possibilities in the tourism industry. This foundational paradigm raises high expectations because it empowers trust-building and promotes more disintermediation‚ secure travel-related transactions‚ creative loyalty programs‚ traceable tourism products and activities‚ and reliable online travel reviews.
Library Guides: Course Reserves - Library Reading Lists: 2g: Request copies from Interlibrary Loan

Learn about the Library Reading List tool, how it integrates with Brightspace, and how you can create your own.
Motion-Based Handwriting Recognition and Word Reconstruction

In this project, we leverage a trained single-letter classifier to predict the written word from a continuously written word sequence, by designing a word reconstruction pipeline consisting of a dynamic-programming algorithm and an auto-correction model. We conduct experiments to optimize models in this pipeline, then employ domain adaptation to explore using this pipeline on unseen data distributions.
The Lost of Virtual and Simulated Identity in Online/Virtual Platform Written Adaptation of a Game “Digimon Story Cyber Sleuth: Hacker’s Memory”

This creative project is a written adaptation of a video game entitled Digimon story Cyber Sleuth: Hacker’s Memory (2017). This adaptation will retell a story from the aforementioned video game title about an alternate Japanese society where technology has evolved so much that people can dive into a cyber space called EDEN. By using a set of computers and a special device called Digivice. In this virtual cyberspace, a physical manifestation can be achieved by having a virtual account and many people at the beginning of the story have been using EDEN for years to do many things. The story begins with a young man who lost his virtual account. In order to get his account back he has to get involved in the world of hackers which are individuals who are able to temper the programming codes of EDEN just like how it used to be in regular computers to achieve a certain purpose. In this involvement the protagonist also encounters creatures known as Digimon which will then play a major role in the story moving forward. The protagonist also meets a hacker group called Hudie which the protagonist ends up joining in order to gain support in searching for his missing account. The theme of this adaptation is how a missing a virtual identity ends up shaping another identity for the main protagonist. This adaptation also serves as a journey for the main protagonist who at the beginning falls under the category of “hacker” which is a bad term into a “hero” at the end. Key words: Virtual, cyber space, hacker, mental data, avatar, account, identity.
Robotic Hand Controlled by Glove Using Wireless Communication

The interest in the research and development of humanoid robots has been steadily growing in recent years. The application of such robotic systems are many and wide. In this bachelor’s thesis in me ...
Estudio de sistemas físicos reales asistido por video análisis favorece el desempeño investigativo experimental

Video analysis is one of the computer resources used to develop experimental activities in the teaching of Physics. It carries particular features that enables users to examine real physical systems in a virtual environment and model the changes that take place in such real physical systems. This current research paper aimed to design and implement experimental investigations assisted by video analysis in order to enhance learner performance through the exploration of real physical systems with the aid of the systematization of an experimental research procedure. As an example, the modeling of an activity is offered which is based on the need of determining the water consumption of a real-world physical system. The methodology used consisted of assessing learner performance using different assessment activities such as pedagogical tests and observations. The statistical processing of results showed significant differences regarding learner performance comparing the learning results before and after the execution of the designed experimental activities.
Policy issues on crypto-assets

This paper describes the economic characteristics of crypto-assets and the regulation of the exchanges and custodian wallet providers adopted in various jurisdictions. The possible accounting and prudential treatments are then analysed. The paper provides a taxonomy of DLT digital tokens based on mutually exclusive classes. Bitcoin belongs to the class of private digital tokens with no underlining claim or liability against an issuer, exchangeable at a floating rate, which operate through an electronic protocol called permissionless distributed ledger technology (DLT). The literature on the subject shows that this type of crypto-assets do not fall within the category of money and financial instruments. The instability of their price must be considered when evaluating these instruments from an accounting and prudential point of view. The paper describes the basic features of initial coin offerings (ICOs), smart contracts, and other related aspects.
ANALISIS NORMALISASI PENGENDALIAN BANJIR DI SUNGAI BATANG ULAKAN KABUPATEN PADANG PARIAMAN

Batang Ulakan is a river located in the Padang Pariaman Regency with a length of 14.35 Km. Batang Ulakan is an area that is prone to flooding, especially in the Sic Cincin area, 2x11 Sic ring sub-district, due to the dense population living on the edge of Batang Ulakan which causes no catchment storage locations. Therefore, the dimensions of Batang Ulakan are planned. In planning the Batang Ulakan dimension, the calculation of the average rainfall uses the Average method of 2 (two) rainfall stations, namely the cage rain station IV and Paraman Talang station. The calculation of the 20 (twenty) annual rainfall plan uses the average of the Normal Distribution method, the Log Normal method, the Log Person III method and the Gumbel method. After that, the conformity test was carried out with Chi Square. In Batang Ulakan River normalization planning through literature studies, data collection, hydrological analysis and hydraulic analysis. The Hasper, Weduwen and Rational methods are used to calculate the planned discharge. From the results of the three methods, the flood discharge used is the Rational method with a return period of 20 years, namely (Q20) 1690.94 m3 / sec. The river cross section is trapezoidal. For the trapezoidal section, the base width is 20 meters, the top width is 38.2 meters with a height of 7.7 meters with a slope of 45 °.
COVID-19 and Privacy in the European Union: A Legal Perspective on Contact Tracing

When disease becomes a threat to security, the balance between the need to fight the disease and obligation to protect the rights of individuals often changes. The current COVID-19 crisis shows that the need for surveillance and contact tracing poses challenges to the right of privacy. We focus on the European Union (EU), which has some of the strongest fundamental rights and data protection regimes, yet requires its member states at the same time to exchange personal data gathered through contact tracing. While public authorities may limit the right to privacy in case of threats to public health, the EU provides little guidance when such limitations are proportionate. To define standards, we analyse existing EU case law regarding national security measures. We conclude that on the proportionality of contact tracing in the EU it is difficult to reconcile public health measures and individual rights, but guidance can be taken from understandings of proportionality in the context of security, particularly in the current COVID-19 emergency.
A Review on Gesture-To-Voice Recognition System based on Facial Expressions &amp; Hand Gestures

Voice is a medium through which one communicates ideas, interest, personality and alot more. Deaf-mute people use sign-language to communicate with others but some people don't know sign-language in order to communicate back. Gesture recognition is a growing field which helps those who aren't able to talk but rather use gestures in order to communicate with people around them. In this paper, an in depth research is performed on various systems that are developed for the various features for making a robust system that helps mute people to communicate more freely and easily using computer vision and natural language processing.
Library: Education - Tutorial Videos: Library Instruction Sessions (longer)

This guide hosts short tutorial videos and longer videos of online sessions that have been recorded.
Subduction Zones Geodynamics and Geochemistry of Porphyry Systems in Mongolia

Summary Mongolia is a part of Central Asian Orogenic Belt (CAOB), a giant orogen with a long Phanerozoic evolution, formed by accretion of Cambrian, Ordovician, Devonian and Carboniferous arcs, back-arcs, accretionary wedges and microcontinents ( Badarch et al., 2002 ; Ruzhentsev &amp; Pospelov, 2002 ). Subduction is favorable process for forming large and superlarge ore deposits: late Devonian (Oyu Tolgoi, Tsagaan Suvarga), Carboniferous (Shuteen, Kharmagtai), and Mesozoic (Erdenet). We summarize our research done on example of Cu-Au mineralized Shuteen porphyry system in South Mongolia and Erdenet Cu-Mo porphyry deposit in North Mongolia which are related to subduction zones
A two-stage data association approach for 3D Multi-object Tracking

Multi-object tracking (MOT) is an integral part of any autonomous driving pipelines because itproduces trajectories which has been taken by other moving objects in the scene and helps predicttheir future motion. Thanks to the recent advances in 3D object detection enabled by deep learning,track-by-detection has become the dominant paradigm in 3D MOT. In this paradigm, a MOT systemis essentially made of an object detector and a data association algorithm which establishes track-to-detection correspondence. While 3D object detection has been actively researched, associationalgorithms for 3D MOT seem to settle at a bipartie matching formulated as a linear assignmentproblem (LAP) and solved by the Hungarian algorithm. In this paper, we adapt a two-stage dataassociation method which was successful in image-based tracking to the 3D setting, thus providingan alternative for data association for 3D MOT. Our method outperforms the baseline using one-stagebipartie matching for data association by achieving 0.587 AMOTA in NuScenes validation set.
Do Future Mathematics Teachers Need the Course „Integration of Digital Technologies in Teaching Mathematics“, and if so, what exactly can it help them with?

In the current research we analysed our teaching experience in the course “Integration of digital technologies in teaching mathematics”. The students were mathematics student teachers. The main goal of the course was to demonstrate the potential of digital technologies in teaching mathematics and to provide the students with basic skills in the intellectual use of these technologies. During the course the students, after getting acquainted with various mathematical software packages, build and present their own teaching units. We were interested to analyse the students’ attitudes towards the course. A multiple-choice questioner was formulated, and the collected data were analysed. We observed that most of the students found the course being helpful for their future teaching. The obtained results indicated that the described course provided them a didactic model to emulate.
Analysis of Bitcoin Prices Using Market and Sentiment Variables

This paper proposes an empirical model for analyzing the dynamics of Bitcoin prices. To do this, we consider a vector error correction model over two overlapping periods: 2010-2017 and 2010-2019. Price discovery is achieved through the Gonzalo-Granger permanent-transitory decomposition. The pricing factors are endogenous linear combinations of the S&P 500 index, gold price, a Google search variable associated to Bitcoin, and a fear index proxied by the FED Financial Stress Index. Our empirical analysis shows that during the first period a linear combination of four pricing factors describes the efficient Bitcoin price. The S&P 500 index and Google searches have a positive effect whereas gold prices and the fear index have a negative effect. In contrast, during the second period, the efficient price behaves idiosyncratically and can be only rationalized by individuals’ search for information on the cryptocurrency. These findings provide empirical evidence on the presence of a correction in Bitcoin prices during the period 2018-2019 uncorrelated to market fundamentals. We also show that standard empirical asset pricing models perform poorly for explaining Bitcoin prices.
TOWARD COLLABORATIVE VIRTUAL ARCHITECTURE DESIGN STUDIO

The application of Virtual Reality (VR) is important on higher education level; it is also imperative to explore how this style of interaction could be used to help students in understanding and exploring more proper mental models of complex systems and processes, abstract models and other non-intuitive material.The hypothesis is that VR can successfully be used to support such complex understanding by stimulating and exploring all human senses whereas traditional notions of learning tend to focus on purely intellectual skills.The study will examine the constructive philosophy of learning and discuss how it may be supported by the use of VR to provide examples of different classes of VR applications that, for educational purposes, focus on learning.The research subject which is the impact of information of communication technology (ICT) on architectural form of higher educational spaces focus on the future of architectural Educational studio and the new generation of paperless design studio.The purpose of the paper is expecting the transformation in the form of architectural educational spaces with response to the wide range of ICT and use of VR applications especially in Architecture Design Studio (ADS).It is also identifying the new configurations and characteristics of (ADS) in Communication Era.
Using Blockchain and Smart Contracts for Marine Seismic Data Integrity and Contract Control

Summary There are opportunities using blockchain combined with smart contracts to enhance data integrity and contract control within the marine seismic industry for individual contracts. Further an implementation of blockchain and smart contracts at the industry level will redefine industry standards and create a payment platform for the industry, and associated subcontractors, making contracts easier to administer and control.
Continuously improving energy and water management

Author(s): Liu, J; Bourassa, N | Abstract: High performance computing (HPC) centers are unique in certain aspects such as task scheduling and power consumption patterns. However, they also share commonalities with other data centers, for example, in the infrastructure systems and opportunities for saving energy and water. The success and lessons learned at LBNL's National Energy Research Scientific Computing Center (NERSC) can be useful for other data centers with proper adoption considerations.
Thoreau’s Militant Vegetables

This chapter takes as its starting point contemporary new materialist approaches to Henry David Thoreau’s writing, especially the work of scholars such as Branka Arsić and Jane Bennett. Complicating the Deleuzian- and neo-Spinozan-influenced forms of democratic vitalism attributed to Thoreau, this chapter traces a competing mode of materialism in Thoreau’s thought, one that is inherently dialectical and, by all standards, illiberal. Building loosely on the speculative ecological work of scholars such as Monique Allewaert and Michael Marder, it argues that Thoreau’s vision of nature in his early works is allied with his subsequent radical political pronouncements in the mid- and late-1850s. The chapter traces the structural aspects of Thoreau’s unique dialectical approach toward materiality and historical reality, examining the types of political ontologies and actants that emerge within these dynamic material relations as well as their specific stakes for antebellum society.
Pewacanaan Pembelajaran Tari Prawira Watang Berbasis Media Sosial Sebagai Langkah Seni Menjawab Digitalisasi

Digital culture is now entering a lifestyle of the community from children to parents. Its development is so rapid, it must be followed by various breakthroughs including art education which also enlivens the digital world as a concrete interpretation of the development of art, democracy and digitalization of social media.               One of them is the step of learning Prawira Watang Dance through social media youtube and instagram. Turning the educational model of the classroom and books into digital based, the step is to offer a new model of art education to answer the challenges of Indonesia who experience a demographic bonus.               The form of art education for Prawira Watang Dance Learning based on social media can be done by making tutorials on the stages of dance learning ranging from warming up, explaining the material, to a series of dance patterns and moves, which are carried out by visuals and synthesizers. The achievement of this step is to create an education climate oriented towards digital media which is now accessed by the melenial generation, as well as efforts to conserve art through digital media, the expansion of education, in order to educate the life of the nation.
ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks

With the development of deep learning techniques and large scale datasets, the question answering (QA) systems have been quickly improved, providing more accurate and satisfying answers. However, current QA systems either focus on the sentence-level answer, i.e., answer selection, or phrase-level answer, i.e., machine reading comprehension. How to produce compositional answers has not been throughout investigated. In compositional question answering, the systems should assemble several supporting evidence from the document to generate the final answer, which is more difficult than sentence-level or phrase-level QA. In this paper, we present a large-scale compositional question answering dataset containing more than 120k human-labeled questions. The answer in this dataset is composed of discontiguous sentences in the corresponding document. To tackle the ComQA problem, we proposed a hierarchical graph neural networks, which represents the document from the low-level word to the high-level sentence. We also devise a question selection and node selection task for pre-training. Our proposed model achieves a significant improvement over previous machine reading comprehension methods and pre-training methods. Codes and dataset can be found at \url{https://github.com/benywon/ComQA}.