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检索条件"机构=Doctoral Program in Computer Science The Graduate Center"

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Deciding the closure of inconsistent rooted triples is NP-complete 29

Deciding the closure of inconsistent rooted triples is NP-co...

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29th International Symposium on Algorithms and Computation, ISAAC 2018

作者： Johnson, Matthew P. Department of Computer Science Lehman College Ph.D. Program in Computer Science Graduate Center City University of New York United States

ISBN: (纸本)9783959770941

Interpreting three-leaf binary trees or rooted triples as constraints yields an entailment relation, whereby binary trees satisfying some rooted triples must also thus satisfy others, and thence a closure operator, which is known to be polynomial-time computable. This is extended to inconsistent triple sets by defining that a triple is entailed by such a set if it is entailed by any consistent subset of it. Determining whether the closure of an inconsistent rooted triple set can be computed in polynomial time was posed as an open problem in the Isaac Newton Institute's "Phylogenetics" program in 2007. It appears (as NC4) in a collection of such open problems maintained by Mike Steel, and it is the last of that collection's five problems concerning computational complexity to have remained open. We resolve the complexity of computing this closure, proving that its decision version is NP-Complete. In the process, we also prove that detecting the existence of any acyclic B-hyperpath (from specified source to destination) is NP-Complete, in a significantly narrower special case than the version whose minimization problem was recently proven NP-hard by Ritz et al. This implies it is NP-hard to approximate (our special case of) their minimization problem to within any factor. © Matthew P. Johnson

关键词： Computational complexity

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Possibilities to use the practice of telemedicine in actual technological conditions to remote areas

Possibilities to use the practice of telemedicine in actual ...

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25th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

作者： Kmeteuk, O de Amorim, MF Graduate Program in Applied Computer Science Exact Sciences and Technology Center Pontifical Catholic University of Paraná Brazil

ISBN: (纸本)0780377893

One of the main factors that impede the practice of the telemedicine is not the lack of new technologies for the communication, but the lack of studies on the use of the technology already installed in the distant areas, in way to be used of a rational way. The objective of the telemedicine is to provide help to the cares with the health with quality the distant areas of the great attendance centers. Therefore, it cannot ignore the fact that these areas do not make use of point technologies for communication. Then, it is justified the need to accomplish studies that facilitate the practice of the independent telemedicine of the installed technology. Then, the objective of this work is to use as pilot an unit of remote health, contributing with a support system that allows the practice of the telemedicine using the technology of available transmission in the respective place, avoiding that the factor cost is a barrier for the telemedicine projects and can begin an improvement process in the quality of the attendance in units of distant health of the great centers of medical attendance.

关键词： telemedicine support system

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Sequence to Sequence Deep Learning Architecture for Forecasting Temperature and Humidity inside Closed Space 10

Sequence to Sequence Deep Learning Architecture for Forecast...

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10th International Conference on Cyber and IT Service Management, CITSM 2022

作者： Setiawan, Karli Eka Elwirehardja, Gregorius Natanael Pardamean, Bens Bina Nusantara University Binus Graduate Program Computer Science Program Computer Science Department Jakarta11480 Indonesia Bina Nusantara University Bioinformatics and Data Science Research Center Jakarta11480 Indonesia

ISBN: (数字)9781665460743

ISBN: (纸本)9781665460743

Solar Dryer Dome (SDD), an agricultural facility for drying and preserving agricultural products, needs a smart ability to predict the future indoor climate accurately, including indoor temperature and indoor humidity, in order to optimize electricity usage. To overcome these challenges, deep learning has been a widely adopted method. This research aims to forecast the future indoor climate using time series data by implementing a sequence-to-sequence (seq2seq) architecture, which is mostly used in Natural Language Processing (NLP) tasks. The two proposed seq2seq models, Long Short-Term Memory (LSTM) seq2seq and Gated Recurrent Unit (GRU) seq2seq, have proven to be superior to the adapted LSTM and GRU. The results show that the seq2seq GRU model outperforms the adapted GRU baseline model by an average difference of 0.03013 in MAE and the seq2seq LSTM model outperforms the adapted LSTM baseline model by an average difference of 0.00941 in MAE. To the best of our knowledge, this is the first implementation of seq2seq models for indoor climate forecasting on the Room Climate dataset. © 2022 IEEE.

关键词： Long short-term memory

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Variational quantum neural network with optimized ansatz for predicting malignant ventricular arrhythmias 9th

Variational quantum neural network with optimized ansatz for...

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9th International Conference on computer science and Computational Intelligence, ICCSCI 2024

作者： Dominic, Nicholas Pardamean, Bens Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Computer Science Program Bina Nusantara University Jakarta11480 Indonesia

Preventive strategies should be the utmost priority when dealing with diverse patients suffering from malignant ventricular arrhythmia (MVA) that can lead to sudden cardiac death (SCD). Electrocardiogram (ECG) data is commonly used as a predictor for MVA predictive models. In this study, all ECG signals from MIT-BIH databases were fragmented into five-minute durations with a frequency sampling of 128 Hz. To solve the absence of hybrid optimizations in Machine Learning (ML) models, a novel Variational Quantum Neural Network (VQNN) was invented. Empowered by deep learning capabilities and optimized quantum circuits design, VQNN achieved remarkable performances designated by an accuracy of up to 95.1%, a perfect 100% recall, and a 95.2% score of the area under the Receiver Operating Characteristic curve (AUC ROC) with Conjugate Gradient as an optimizer and EfficientSU2 as a quantum ansatz. Despite the susceptibility to quantum noise, this research settles a new trajectory of utilizing quantum variational algorithms to predict and expand its applicability for MVA cases. © 2024 The Authors.

关键词： Quantum computers

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Cross-camera vehicle tracking via affine invariant object matching for video forensics applications

Cross-camera vehicle tracking via affine invariant object ma...

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2013 IEEE International Conference on Multimedia and Expo, ICME 2013

作者： Hsu, Chao-Yung Kang, Li-Wei Mark Liao, Hong-Yuan Institute of Information Science Academia Sinica Taipei Taiwan Graduate School of Engineering Science and Technology-Doctoral Program Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan

ISBN: (纸本)9781479900152

The recent deployment of very large-scale camera networks consisting of fixed/moving surveillance cameras and vehicle video recorders, has led to a novel field in object tracking problem. The major goal is to detect and track each vehicle within a large area, which can be applied to video forensics. For example, a suspected vehicle can be automatically identified for mining digital criminal evidences from a large amount of video data. In this paper, we propose an efficient cross-camera vehicle tracking technique via affine invariant object matching. More specifically, we formulate the problem as invariant image feature matching among different viewpoints of cameras. To achieve vehicle matching, we first extract invariant image feature based on ASIFT (affine and scale-invariant feature transform) for each detected vehicle in a camera network. Then, to improve the accuracy of ASIFT feature matching between images from different viewpoints, we propose to efficiently match feature points based on our observed spatially invariant property of ASIFT, as well as the min-hash technique. As a result, cross-camera vehicle tracking can be efficiently and accurately achieved. Experimental results demonstrate the efficacy of the proposed algorithm and the feasibility to video forensics applications. © 2013 IEEE.

关键词： Tracking (position)

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Evaluating a dynamic timewarping based scoring algorithm for facial expressions in asl animations 6

Evaluating a dynamic timewarping based scoring algorithm for...

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6th Workshop on Speech and Language Processing for Assistive Technologies, SLPAT 2015

作者： Kacorri, Hernisa Huenerfauth, Matt Center CUNY Doctoral Program in Computer Science United States Rochester Institute of Technology Golisano College of Computing and Information Sciences United States

ISBN: (纸本)9781941643792

Advancing the automatic synthesis of linguistically accurate and natural-looking American Sign Language (ASL) animations from an easy-To-update script would increase information accessibility for many people who are deaf by facilitating more ASL content to websites and media. We are investigating the production of ASL grammatical facial expressions and head movements coordinated with the manual signs that are crucial for the interpretation of signed sentences. It would be useful for researchers to have an automatic scoring algorithm that could be used to rate the similarity of two animation sequences of ASL facial movements (or an animation sequence and a motioncapture recording of a human signer). We present a novel, sign-language specific similarity scoring algorithm, based on Dynamic Time Warping (DTW), for facial expression performances and the results of a user-study in which the predictions of this algorithm were compared to the judgments of ASL signers. We found that our algorithm had significant correlations with participants comprehension scores for the animations and the degree to which they reported noticing specific facial expressions. © SLPAT 2015 - 6th Workshop on Speech and Language Processing for Assistive Technologies, Proceedings.

关键词： Animation

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Synthesizing and evaluating animations of american sign language verbs modeled from motion-capture data 6

Synthesizing and evaluating animations of american sign lang...

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6th Workshop on Speech and Language Processing for Assistive Technologies, SLPAT 2015

作者： Huenerfauth, Matt Lu, Pengfei Kacorri, Hernisa Rochester Institute of Technology Golisano College of Computing and Information Sciences United States Center CUNY Doctoral Program in Computer Science United States

ISBN: (纸本)9781941643792

Animations of American Sign Language (ASL) can make information accessible for many signers with lower levels of English literacy. Automatically synthesizing such animations is challenging because the movements of ASL signs often depend on the context in which they appear, e.g., many ASL verb movements depend on locations in the signing space the signer has associated with the verb s subject and object. This paper presents several techniques for automatically synthesizing novel instances of ASL verbs whose motion-path and hand-orientation must accurately reflect the subject and object locations in 3D space, including enhancements to to prior state-of-The-Art models. Using these models, animation generation software could produce an infinite variety of indicating verb instances. Using a corpus of motion-capture recordings of multiple performances of eight ASL indicating verbs, we modeled the signer s hand locations and orientations during each verb, dependent upon the location in the signing space where the subject and object were positioned. In a user study, ASL signers watched animations that included verbs synthesized from these models, and we found that they had similar quality to those produced by a human animator. © SLPAT 2015 - 6th Workshop on Speech and Language Processing for Assistive Technologies, Proceedings.

关键词： Animation

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An information-theoretic approach to extraction in competitive learning

An information-theoretic approach to extraction in competiti...

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IASTED International Conference on Artificial Intelligence and Applications, AIA 2008

作者： Kamimura, Ryotaro Taniguchi, Tadanari Kitajima, Ryozo Information Science Education Center Japan Doctoral Program in Computer Sciences Tokai University 1117 Kitakaname Hiratsuka Kanagawa 259-1292 Japan

ISBN: (纸本)9780889867093

In this paper, we propose a new information-theoretic approach to competitive learning and self-organizing maps. We use several information-theoretic measures such as conditional information and information losses to extract main features in input patterns. For each competitive unit, conditional information content is used to show how much information on input patterns is contained. In addition, for detecting the importance of each variable, information losses are introduced. The information loss is defined by difference between information with all input units and information without an input unit. We applied the method to an artificial data, the Iris problem and a student survey. In all cases, experimental results showed that main features in input patterns were clearly detected.

关键词： Self organizing maps

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Time-series Analysis of Correlation between Climatic Parameters and Dengue Fever in Indonesia 4

Time-series Analysis of Correlation between Climatic Paramet...

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4th International Conference on Informatics, Multimedia, Cyber and Information System, ICIMCIS 2022

作者： Nirwantono, Rudi Trinugroho, Joko Pebrianto Sudigyo, Digdo Hidayat, Alam Ahmad Pardamean, Bens Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Bina Nusantara University Binus Graduate Program Master of Computer Science Program Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781665473279

Dengue fever is mainly caused by female mosquitoes from the genus Aedes. It predominantly occurs in equatorial to sub-tropical regions. The weather factors play a significant role in the mosquito life cycle, so a study on the impact of climate parameters on dengue incidence is required. This study aimed to understand the statistical association between the annual fluctuation of dengue cases with climate factors in Indonesia. Climatic data, annual rainfall, and annual mean ambient temperature of Indonesia were obtained from *** from 2010 to 2020, while the data on the annual incidence of dengue fever in Indonesia were collected from the Indonesian Health Profile by the Ministry of Health of Indonesia from 2010 to 2020. The association between climatic factors with dengue cases was calculated with Spearman statistical test after the data was indicated as not normally distributed. In addition, we performed Poisson regression analysis to examine how the changes in climatic parameters affect the dengue cases. The rain precipitation was insignificantly correlated with the dengue incidence in Indonesia during the study time. In contrast, the ambient temperature statistically showed a strong association with the dengue cases. The association between climatic factors and the number of dengue cases suggests that the model would likely be prospectively applied to the dengue early warning system as a nationwide intervention to reduce the epidemic impact in Indonesia. © 2022 IEEE.

关键词： Data mining

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Decision theory and risk simulation analysis for optimizing profit in paylater services

Decision theory and risk simulation analysis for optimizing ...

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2022 International Conference on ENTERprise Information Systems, centerIS 2022 - International Conference on Project MANagement, ProjMAN 2022 and International Conference on Health and Social Care Information Systems and Technologies, HCist 2022

作者： Dominic, Nicholas Pardamean, Bens Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia

The projected increase in PayLater utilization reaches up to five million people by 2025. To optimize the yearly profit from their PayLater service, fintech companies must examine all possible risks before a unanimous decision is taken. Therefore, we proposed a unified decision framework derived from decision theory and the Monte Carlo simulation technique. Two schemes were coined: (1) a decision-making scheme, and (2) a risk simulation scheme. Throughout experiments, the framework was able to estimate several alternative decisions and their impacts, analyze the causes of failure and delays in the development of the PayLater service, and execute Monte Carlo simulations in up to 10,000 trials. Outputs of this study will benefit decision-makers in the fintech initiative before launching their PayLater products. © 2023 Elsevier B.V.. All rights reserved.

关键词： Fault tree analysis

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