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关键词： Electrical engineering   Computer science   Artificial intelligence  

关键词： User interface   Kinematics   Software   Rheology   Calibration   Sensors   Robots   Tendons   Taxonomy   Anthropomorphism   Morphology   Biomechanics   Fingers & toes   Robotics   Computer science   Cultural anthropology   Mechanics   Physics  

摘要： The human hand is able to perform various grasping and manipulation tasks, and can be seen as one of the most dexterous and versatile effectors known. The prehensile capabilities of the hand have already been analyzed. categorized and sum-marized in a taxonomy in numerous studies. In addition to the taxonomies, research on the biomechanical synergies of the human hand led to the following conceptions: The adduction/abduction movement is independent of the flexion/extension movement. Furthermore, the thumb is rather independent in its mobility from the other fingers, while those move synchronously within their corresponding joints. Lastly, the consideration of the synergies provides that the proximal and distal interphalangeal joints of a human finger are more intensely coordinated than those of the metacarpal joints. In this work, a soft robotic gripper was developed based on the knowledge from the literature on the taxonomy of human gripping abilities and the biomechanical synergies of the human hand. In the domain of robotic hands, tendon-driven mukractuated structures are widely used. Inspired by the tensegrity structure of the human hand, they offer passive adaptivity and robustness through their flexibility. A sensor system was implemented. consisting of FSRs. flex sensors and a current sensor, thus the system parameters can be characterized continously. The force sensors were integrated into the fingertips. Molds of silicone rubber were used as finger pads to provide higher friction and better adaptivity to the grasped object on the contact areas of the finger, to mimic human skin. Initial tests were carried out to evaluate the gripper. First, the functionality of the sensors, such as the force sensors selected as FSRs, was tested. In the further course, the gripping capabilities of the gripper were tested by manipulation of various different objects. Based on the findings from the practical experiments, it may be stated that the gripper has a high degree of d

关键词： Mathematics   Computer science   Theoretical physics   Crystal structure   Maps   Boxes   Algebra   Polynomials   Algorithms   Combinatorics  

关键词： Computer science   Mental health  

摘要： The COVID-19 pandemic has dramatically affected peoples’ daily lives all over theworld - physically, economically, and emotionally. Due to the virus, many people have died, and many hospitalized. A record number of people have lost their job, and many businesses have closed. The global economy is at risk. People are facing new realities of their lives. Studies have shown that the level of depression is three times higher than before this pandemic. Previous studies have shown that people use social media to express their emotions and feelings. The purpose of this study is to understand the depression during this COVID-19 pandemic using social media data. To study the depression-related tweets, I have used a COVID-19 related dataset that is made available by IEEE. Regarding methods,I have employed unsupervised techniques such as clustering and topic modeling. Besides, I have used sentiment analysis to understand the emotions and subjectivity in the *** result from the analysis shows the change of depression related discussions during this pandemic over a five and a half months period of time. It also shows the characteristics of the overall discussion around depression. The findings may be useful for future depression studies.

关键词： Computer science   Artificial intelligence  

摘要： Deep Learning has become one of the cornerstones of today’s AI advancement and research. Deep Learning models are used for achieving state-of-the-art results on a wide variety of tasks, including image restoration problems, specifically image denoising. Despite recent advances in applications of deep neural networks and the presence of a substantial amount of existing research work in the domain of image denoising, this task is still an open challenge. In this thesis work, we aim to summarize the study of image denoising research and its trend over the years, the fallacies, and the brilliance. We first visit the fundamental concepts of image restoration problems, their definition, and some common misconceptions. After that, we attempt to trace back where the study of image denoising began, attempt to categorize the work done till now into three main families with the main focus on the neural network family of methods, and discuss some popular ideas. Consequently, we also trace related concepts of over-parameterization, regularisation, low-rank minimization and discuss recent untrained networks approach for single image denoising, which is fundamental towards understanding why the current state-of-art methods are still not able to provide a generalized approach for stabilized image recovery from multiple perturbations.

关键词： Operating systems   Software   Wide area networks   Algorithms   Virtual private networks   Fault tolerance   Cloud computing   Servers   Bandwidths   Flexibility   Computer science   Electrical engineering   Engineering  

摘要： A forma como os recursos computacionais são geridos, mais propriamente os alojados nos grandes centros de dados, tem vindo, nos últimos anos, a evoluir. As soluções iniciais que passavam por aplicações a correr em grandes servidores físicos, comportavam elevados custos não só de aquisição, mas também, e principalmente, de manutenção. A razão chave por trás deste facto prendia-se em grande parte com uma utilização largamente ineficiente dos recursos computacionais disponíveis. No entanto, o surgimento de tecnologias de virtualização de servidores foi o volte-face necessário para alterar radicalmente o paradigma até aqui existente. Isto não só levou a que os operadores dos grandes centros de dados pudessem passar a alugar os seus recursos computacionais, criando assim uma interessante oportunidade de negócio, mas também permitiu potenciar (e facilitar) negócios dos clientes. Do ponto de vista destes, os benefícios são evidentes: poder alugar recursos, num modelo pay-as-you-go, evita os elevados custos de capital necessários para iniciar um novo serviço. A este novo conceito baseado no aluguer e partilha de recursos computacionais a terceiros dá-se o nome de computação em nuvem (“cloud computing”). Como referimos anteriormente, nada disto teria sido possível sem o aparecimento de tecnologias de virtualização, que permitem o desacoplamento dos serviços dos utilizadores do hardware que os suporta. Esta tecnologia tem-se revelado uma ferramenta fundamental na administração e manutenção dos recursos disponíveis em qualquer centro de dados. Por exemplo, a migração de máquinas virtuais facilita tarefas como a manutenção das infraestruturas, a distribuição de carga, a tolerância a faltas, entre outras primitivas operacionais, graças ao desacoplamento entre as máquinas virtuais e as máquinas físicas, e à consequente grande mobilidade que lhes é assim conferida. Atualmente, muitas aplicações e serviços alojados na nuvem apresentam dimensão e complexidade considerável. O serviço

关键词： Computer science   Biology   Applied mathematics   Bioinformatics   Immunology  

摘要： T-cells are an integral component of the immune system, enabling the body to distinguish between pathogens and the self. The primary mechanism which enables this is their T-cell receptors (TCR) which bind to antigen epitopes foreign to the body. This detection mechanism allows the T-cell to determine when an immune response is necessary. The computational prediction of TCR-epitope binding is important to researchers for both medical applications and for furthering their understanding of the biological mechanisms that impact immunity. Models which have been developed for this purpose fail to account for the interrelationships between amino acids and demonstrate poor out-of-sample performance. Small changes to the amino acids in these protein sequences can drastically change their structure and function. In recent years, attention-based deep learning models have shown success in their ability to learn rich contextual representations of data. To capture the contextual biological relationships between the amino acids, a multi-head self-attention model was created to predict the binding affinity between given TCR and epitope sequences. By learning the structural nuances of the sequences, this model is able to improve upon existing model performance and grant insights into the underlying mechanisms which impact binding.

关键词： Electrical engineering   Electromagnetics   Computer engineering   Propagation   Simulation   Computer science   Investigations   Bandwidths   Dissertations & theses   Eigen values   Circuits   Teaching assistants   Phase transitions   Design   Radiation  

关键词： Alternative Energy   Computer science   Energy   Mathematics   South Asian Studies  

摘要： With the current awareness on slowing down global warming through global emission control strategies, renewable energy integration in marine power systems is gaining spotlight. Using onboard renewable energy resources, the marine fuel consumption can be optimized to yield emission reduction and fuel cost savings. However, unlike a land power system, maximizing benefits through renewable energy integration in a marine power system is more challenging due to the limited space and weight constraints. Also, for an accurate estimation of the benefits and for a more realistic investigation of the renewable energy integration, an accurate system data has to be used. This work proposes a comprehensive investigation of integrating PV and battery energy storage to a marine vessel by using publicly available real-time datasets to obtain the annual vessel demand and annual PV power generation data. Using the annual demand and PV generation data, the onboard fuel consumption is optimized using PV and battery energy storage through an optimal dispatch scheme that includes a minimum generator operation (MGO) with N-1 safety constraint. Finally, based on the optimal dispatch results, factors that affect the fuel savings are examined and the overall investigation findings are summarized.

关键词： Computer science   Artificial intelligence   Hispanic American studies  

摘要： Researchers have worked on modeling and predicting the likelihood of developingchronic diseases, such as diabetes and high blood pressure, using medical data (e.g.,heart-rate, blood sugar). However, many of these diseases demonstrate strong linkswith demographics and socio-economic status (e.g., race, gender, income). It is alsoless time-consuming to retrieve demographic and socio-economic data, some of whichare publicly available through US Census Bureau, than to carry out medical ***, demographic data can give a quicker estimate of the susceptibility of a personto a chronic disease. In this work, we study the effect of using medical vs. demographics data formodelling and predicting two chronic diseases: diabetes and high blood *** proposed an updated deprivation index to build disease models that considerdemographic data. Our results indicate demographic data are as good or betterindicators for predicting chronic diseases.