检索结果-内蒙古大学图书馆

IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)

作者： Dongqing Shi Haiyan Mi Jerald Kralik Yiwu Industrial & Commercial College Zhejiang China Program of Brain and Cognitive Engineering College of Engineering Korea Advanced Institute of Science and Technology (KAIST) South Korea

Recently, scientists have found great similarities between human brains and those of primates. We propose a brain-like computational model after significantly studying the problem solving systems of the behavioral control in the primate brain. Instead of working on the specific roles of tens of billions of neurons and how they might be connected with each other, we mainly focus on the accumulative and overall performance of the brain subsystems, each of which is modeled by a computational system or a certain algorithm. We propose a four-level computational system, where the four levels of the model are independent with each other, at the same time, one level is also connected to the others. The connectivity among levels has been studied as well. The four parallel subsystems are different in many ways, such as the sensory inputs, computational power, model complexity, and so on. However, all systems share a same working memory which stores past experience in all states and helps to make better decision at a near future. The model has been simulated in a challenging foraging problem. The experimental results show that the model works well on various environments with spares or dense obstacles.

关键词： Cloud computing Computational modeling Conferences Decision making Neurons Memory management Big Data

来源：评论

学校读者我要写书评

暂无评论

Effect of digital anesthesia on multi-finger synergies during a sub-maximal constant force production task

Effect of digital anesthesia on multi-finger synergies durin...

引用

55th Human Factors and Ergonomics Society Annual Meeting, HFES 2011

作者： Karol, Sohit Shim, Jae Kun Department of Kinesiology University of Maryland College Park MD 20742 United States Neuroscience and Cognitive Science Graduate Program University of Maryland College Park MD 20742 United States Bioengineering Graduate Program University of Maryland College Park MD 20742 United States Department of Mechanical Engineering Kyung Hee University Global Campus Korea Republic of

ISBN: (纸本)9780945289395

The aim of this study was to investigate the effect of tactile feedback on multi-finger coordination, quantified by a synergy index using the uncontrolled manifold analysis. Twenty healthy, young volunteers were asked to press with all the four fingers on four, one dimensional sensors at 20% of their maximum voluntary force. A visual feedback of total force output was shown on a computer monitor. Tactile feedback was removed by administering ring block anesthesia. Results from this study suggest that the multi-finger synergies, the task errors as well as the flexibility of the motor system to produce the forces decrease significantly with the administration of anesthesia.

关键词： Computer monitors

来源：评论

学校读者我要写书评

暂无评论

Separation of fricatives and affricates

Separation of fricatives and affricates

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Guoning Hu DeLiang Wang Biophysics Program Ohio State Uinversity Columbus OH USA Department of Computer Science & Engineering and Center of Cognitive Science Ohio State Uinversity Columbus OH USA

ISBN: (纸本)0780388747

Separating speech from acoustic interference is a very challenging task. In particular, no system successfully addresses the separation of unvoiced speech. Fricatives and affricates are two main categories of consonants that contain a significant amount of unvoiced signal. We propose a novel system that separates fricatives and affricates from non-speech interference. The system first decomposes the input mixture into segments, each of which contains signal mainly from one source. Then it detects segments dominated by unvoiced portions of fricatives and affricates with a feature-based Bayesian classifier, and groups these segments with voiced speech separated by a previous system. The proposed system is evaluated with various types of interference and produces promising results.

关键词： Interference Speech analysis Bayesian methods Speech enhancement Biophysics Computer science Acoustical engineering cognitive science Robustness Speech recognition

来源：评论

学校读者我要写书评

暂无评论

Computational approaches to analyzing and generating comics 42

Computational approaches to analyzing and generating comics

引用

42nd Annual Meeting of the cognitive science Society: Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020

作者： Upadhyayula, Aditya Martens, Chris Cardona-Rivera, Rogelio E. Hendrickson, Andrew T. Cohn, Neil Department of Psychological and Brain Sciences Johns Hopkins University United States Department of Computer Science North Carolina State University United States School of Computing The Entertainment Arts and Engineering Program University of Utah United States Department of Cognitive Science and Artificial Intelligence Tilburg University Netherlands Department of Cognition and Communication Tilburg University Netherlands

来源：评论

学校读者我要写书评

暂无评论

Assessing Directed Information as a Method for Inferring Functional Connectivity in Neural Ensembles

Assessing Directed Information as a Method for Inferring Fun...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Kelvin So Michael Gastpar Jose M. Carmena Department of Electrical Engineering and Computer Sciences University of California Department of Electrical Engineering and Computer Sciences the Program in Cognitive Science and the Helen Wills Neuroscience Institute University of California

ISBN: (纸本)9781424441211

Neurons in the brain form complicated networks through synaptic connections. Traditionally, functional connectivity between neurons has been analyzed using simple metrics such as correlation, which do not provide direction of influence. Recently, an information theoretic measure known as directed information has been proposed as a way to capture directionality in the relationship, thereby moving towards a model of effective connectivity. This measure is grounded upon the concept of Granger causality and can be estimated by modeling neural spike trains as point process generalized linear models. However, the added benefit of using directed information to infer connectivity over conventional methods such as correlation is still unclear. Here, we propose a novel estimation procedure for the directed information. Using physiologically realistic simulations, we demonstrate that directed information can outperform correlation in determining connections between neural spike trains while also providing directionality of the relationship, which cannot be assessed using correlation.

关键词： Neurons Correlation Topology Computational modeling Accuracy Brain modeling Measurement

来源：评论

学校读者我要写书评

暂无评论

Unvoiced Speech Segregation

Unvoiced Speech Segregation

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： DeLiang Wang Guoning Hu Department of Computer Science & Engineering and Center of Cognitive Science Ohio State Uinversity Columbus OH USA Biophysics Program Ohio State Uinversity Columbus OH USA

Speech segregation, or the cocktail party problem, has proven to be extremely challenging. While efforts in computational auditory scene analysis have led to considerable progress in voiced speech segregation, little attention has been given to unvoiced speech which lacks harmonic structure and has weaker energy, hence more susceptible to interference. We describe a novel approach to address this problem. The segregation process occurs in two stages: segmentation and grouping. In segmentation, our model decomposes the input mixture into contiguous time-frequency segments by analyzing sound onsets and offsets. Grouping of unvoiced segments is based on Bayesian classification of acoustic-phonetic features. The proposed model yields very promising results

关键词： Speech

来源：评论

学校读者我要写书评

暂无评论

Exploration of interaction techniques for graph-based modelling in Virtual Reality

arXiv

引用

arXiv 2020年

作者： Coppens, Adrien Bicer, Berat Yilmaz, Naz Aras, Serhat Software Engineering Lab University of Mons Mons Belgium Department of Computer Engineering Bilkent University Ankara Turkey Cognitive Science Program Bogazici University Istanbul Turkey

Editing and manipulating graph-based models within immersive environments is largely unexplored and certain design activities could benefit from using those technologies. For example, in the case study of architectural modelling, the 3D context of Virtual Reality naturally matches the intended output product, i.e. a 3D architectural geometry. Since both the state of the art and the state of the practice are lacking, we explore the field of VR-based interactive modelling, and provide insights as to how to implement proper interactions in that context, with broadly available devices. We consequently produce several open-source software prototypes for manipulating graph-based models in VR. Copyright © 2020, The Authors. All rights reserved.

关键词： Graphic methods

来源：评论

学校读者我要写书评

暂无评论

Conscious Intelligence Requires Lifelong Autonomous programming For General Purposes

arXiv

引用

arXiv 2020年

作者： Weng, Juyang Department of Computer Science and Engineering Cognitive Science Program Neuroscience Program Michigan State University East LansingMI48824 United States GENISAMA LLC East LansingMI48824 United States

Universal Turing Machines [29, 10, 18] are well known in computer science but they are about manual programming for general purposes. Although human children perform conscious learning (learning while being conscious) from infancy [24, 23, 14, 4], it is unknown that Universal Turing Machiness can facilitate not only our understanding of Autonomous programming For General Purposes (APFGP) by machines, but also enable early-age conscious learning. This work reports a new kind of AI—conscious learning AI from a machine’s "baby" time. Instead of arguing what static tasks a conscious machine should be able to do during its "adulthood", this work suggests that APFGP is a computationally clearer and necessary criterion for us to judge whether a machine is capable of conscious learning so that it can autonomously acquire skills along its "career path". The results here report new concepts and experimental studies for early vision, audition, natural language understanding, and emotion, with conscious learning capabilities that are absent from traditional AI systems. Copyright © 2020, The Authors. All rights reserved.

关键词： Turing machines

来源：评论

学校读者我要写书评

暂无评论

Quantifying Collective Identity Online from Self-defining Hashtags

Research Square

引用

Research Square 2021年

作者： Barron, Alexander T.J. Bollen, Johan Luddy School of Informatics Computing & Engineering Indiana University Bloomington United States Cognitive Science Program Indiana University Bloomington United States

Mass communication over social media can drive rapid changes in our sense of collective identity. Hashtags in particular have acted as powerful social coordinators[1], playing a key role in organizing social movements like the Gezi park protests, Occupy Wall Street, #metoo, and #blacklivesmatter[2, 3, 4]. Here we quantify collective identity from the use of hashtags as self-labels in over 85,000 actively-maintained Twitter user profiles spanning 2017-2019. Collective identities emerge from a graph model of individuals’ overlapping self-labels, producing a hierarchy of graph clusters. Each cluster is bound together and characterized semantically by specific hashtags key to its formation. We define and apply two information-theoretic measures to quantify the strength of identities in the hierarchy. First we measure collective identity coherence to determine how integrated any identity is from local to global scales. Second, we consider the conspicuousness of any identity given its vocabulary versus the global identity map. Our work reveals a rich landscape of online identity emerging from the hierarchical alignment of uncoordinated self-labeling actions. © 2021, CC BY.

关键词： User profile

来源：评论

学校读者我要写书评

暂无评论

The Utilization of Fuzzy Logic and Bollinger Bands to Enhance Trading Decision-Making During the Bitcoin Halving Phase

引用

Procedia Computer science 2024年 245卷 272-281页

作者： Oscar Adam Darmawan Yaya Heryadi Lukas Lili Ayu Wulandhari Ilvico Sonata Computer Science Department Binus Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta 11480 Indonesia Cognitive Engineering Research Group (CERG) Universitas Katolik Indonesia Atma Jaya Jakarta 12930 Indonesia

The volatile behavior of Bitcoin's price, especially during its halving periods, poses considerable obstacles for forecasting and decision-making in cryptocurrency trading. This paper presents a novel method that combines application fuzzy logic with Bollinger Bands to improve trading decision-making in times of high market volatility. This study conducted an experiment utilizing three fuzzy logic controllers and Bollinger Bands (BB) to determine the strength of buy, hold, and sell signals. This dataset includes the initial and final prices that are used to calculate the BB. The raw and computed values serve as the precise input parameters for the Fuzzy Inference System (FIS). The membership functions were categorized into four levels: very low, low, high, and very high, based on the input default settings utilized by traders. Rulesets were created using fuzzy logic to produce signals that indicate the level of strength of a trading advice. This study evaluate the effectiveness of this hybrid method in comparison to the traditional utilization of the Bollinger Band only indicator and Moving Average Convergence Divergence (MACD) indicator, which is widely favored by traders to identify possible market fluctuations. This methodology involves creating a trading simulation that is based on past Bitcoin halving events. The objective is to assess the efficacy of these strategies in managing heightened volatility. The application of fuzzy logic with the Bollinger Bands model yielded a success rate of 92.47% while analyzing 93 daily data points from the previous Bitcoin halving event on May 11, 2020.

关键词： fuzzy logic crypto price prediction bitcoin bollinger bands macd cryptocurrency

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：