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Submodular Maximization with Bounded Marginal Values 21st

Submodular Maximization with Bounded Marginal Values

引用

21st international conference on Parallel and distributed computing, Applications, and Technologies, PDCAT 2020

作者： Yang, Ruiqi Gao, Suixiang Wang, Changjun Zhang, Dongmei School of Mathematical Sciences University of Chinese Academy Sciences Beijing100049 China Department of Operations Research and Information Engineering Beijing University of Technology Beijing100124 China School of Computer Science and Technology Shandong Jianzhu University Jinan250101 China

ISBN: (纸本)9783030692438

We study the problem of maximizing non-monotone submodular functions subject to a p-independence system constraint. Although the submodularity ratio has been well-studied in maximizing set functions under monotonic scenario, the defined parameter may bring hardness of approximation for the maximization of set functions in the non-monotonic case. In this work, utilizing a lower bound for the marginal values, we investigate the Repeated Greedy introduced by (Feldman et al. 2017) and obtain a parameterized performance guarantee for the above constrained submodular maximization problem. © 2021, Springer Nature Switzerland AG.

关键词： Approximation algorithms

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Epileptic Seizure Detection using short time Fourier transform and Convolutional Neural Network

Epileptic Seizure Detection using short time Fourier transfo...

引用

The 3rd international conference on distributed Sensing and intelligent Systems (ICDSIS 2022)

作者： O. Alshaltone R. Shaikh N. Nasir F. Barneih M. Sameer T. Bonny M. A. Shabi A. A. Shammaa Research Institute of Science and Engineering University of Sharjah Sharjah UAE University of Mumbai Mumbai India National Institute of Technology Patna India

The progress of Artificial Intelligence (AI) has been the most remarkable in the 21st Century. However, how far AI must have gone, it works in healthcare remains a big challenge for great minds across the globe. Epilepsy is a neurological disorder that occurs in a human being at any stage in life. Thus, frequent to rare seizures are faced by an individual having epilepsy and sometimes lead to death. The electroencephalogram (EEG) signals help diagnose this ailment. However, often long EEG signal takes a day or more even for trained neurologists to detect this disorder and may even lead to human errors. Thus, it becomes imperative to develop a robust and computationally efficient system that can help detect this ailment without causing delays and human error. This paper aims to extract the time-frequency plane from time domain signals using Short-time Fourier transform (stFT) and develop a neural network model using CNN to classify seizures. This paper has achieved the highest classification accuracy of 100% for some of the experiments and 95-99% accuracy for a few of them, thus helping better classify health and seizures with less computation required.

关键词： electroencephalography Fourier transforms health care medical signal detection medical signal processing neural nets neurophysiology signal classification time-frequency analysis

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Low Latency Multi - Dimensional Offloading in intelligent Transportation System

Low Latency Multi - Dimensional Offloading in Intelligent Tr...

引用

international conference on Communication technology (ICCT)

作者： Zixian An Tingting Zhang Yunkai Wei Meie Peng Yangtze Delta Region Institue (Quzhou) and School of Communication and Information Engineering University of Electronic Science and Technology of China P. R. China

ISBN: (纸本)9781665432078

Artificial intelligence will play a vital role for autonomous and cooperative driving in future intelligent transportation systems (ITS). Whereas, it needs sufficient computing resource, data resource and elaborated models to provide powerful artificial intelligence for enhanced driving and cooperating in ITS. Current schemes, such as computation offloading, distributed data caching, and remote model training, usually focus on part of this problem, and cannot substantially solve the multidimensional burden in such intelligent system. In this paper, we propose a multi-dimensional offloading (MDO) scheme to realize efficient and joint offloading of computation, data cache and decision model in ITS. Specifically, an optimization model of MDO is presented and divided into two sub-problems to get the optimized resource allocation with extremely low latency, which is crucial for a time-sensitive system. Simulations are conducted to verify the performance of our proposed scheme, and the simulation results show MDO can decrease the time latency considerably compared with traditional schemes.

关键词： Training Privacy Computational modeling Simulation Transportation Data models Resource management

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Embodied Team Intelligence in Multi-Robot Systems 22

Embodied Team Intelligence in Multi-Robot Systems

引用

Proceedings of the 21st international conference on Autonomous Agents and Multiagent Systems

作者： Esmaeil Seraj Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)9781450392136

High-performing human teams leverage intelligent and efficient communication and coordination strategies to collaboratively maximize their joint utility. Inspired by teaming behaviors among humans, I seek to develop computational methods for synthesizing intelligent communication and coordination strategies for collaborative multi-robot systems. I leverage both classical model-based control and planning approaches as well as data-driven methods such as Multi-Agent Reinforcement Learning (MARL) to provide several contributions towards enabling emergent cooperative teaming behavior across both homogeneous and heterogeneous (including agents with different capabilities) robot teams. In future work, I aim to investigate efficient ways to incorporate humans' teaming strategies for robot teams and directly learn team coordination policies from human experts.

关键词： collaborative decision making multi-agent systems marl heterogeneous teaming distributed control and planning

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Multiple Projections Learning for Dimensional Reduction 1

引用

21st international conference on Parallel and distributed computing, Applications, and Technologies, PDCAT 2020

作者： Jiang, Lin Fang, Xiaozhao Han, Na School of Computer Science and Technology Guangdong University of Technology Guangzhou51006 China

ISBN: (数字)9783030692445

ISBN: (纸本)9783030692438

Locality Preserving Projection (LPP) is a dimensional reduction method that has been widely used in various fields. While traditional LPP only uses a single projection matrix to reduce the dimension and preserve the locality structure of data, it may cause the single matrix may not handle these two tasks well at the same time. Therefore, in this paper, we proposed relaxed sparse locality presenting projection (RSLPP) which introduces two different projection matrices to better accomplish the two tasks. The addition of another projection matrix can help the original projection matrix has more freedom to select the appropriate feature for preserving the local structure of data. The experimental results on two data sets prove the effectiveness of the method. © 2021, Springer Nature Switzerland AG.

关键词： Matrix algebra

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intelligent recognition English translation system based on machine learning algorithm

Intelligent recognition English translation system based on ...

引用

The international conference on Forthcoming Networks and Sustainability (FoNeS 2022)

作者： Y. Han S. Hou Haojing College of Shaanxi University of Science and Technology Xi'an Shaanxi People's Republic of China

Since the beginning of the 21st century, in training, life and work, people have become more and more aware of the increasing frequency of communication between different languages. Whether they are idiosyncrasies or forms of communication, there are rigorous issues and increasing demands on the accuracy of translation communication. The main purpose of this paper is to design and research a system for intelligent recognition of English translation based on machine learning algorithms. Rapid advances in computing power, growth and adoption of the Internet, and multilingual knowledge bases in both countries and the United Nations have given us millions of bilingual institutions. More and more researchers are devoted to computational engineering training with success. Experiments show that the NP-sequencing pattern library plays the most important role, and its translation results are improved by 3 percentage points compared to the baseline system Moses. And about 2876 English terms in the whole test corpus can find the same syntactic structure in the pattern library, accounting for about 88.7% of the test corpus.

关键词： Internet knowledge based systems language translation learning (artificial intelligence) natural language processing

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Adaptive Tensor-Train Decomposition for Neural Network Compression 1

引用

21st international conference on Parallel and distributed computing, Applications, and Technologies, PDCAT 2020

作者： Zheng, Yanwei Zhou, Yang Zhao, Zengrui Yu, Dongxiao School of Computer Science and Technology Shandong University Qingdao266237 China Shenzhen Institutes of Advanced Technology Chinese Academy of Science Shenzhen518055 China

ISBN: (数字)9783030692445

ISBN: (纸本)9783030692438

It could be of great difficulty and cost to directly apply complex deep neural network to mobile devices with limited computing and endurance abilities. This paper aims to solve such problem through improving the compactness of the model and efficiency of computing. On the basis of MobileNet, a mainstream lightweight neural network, we proposed an Adaptive Tensor-Train Decomposition (ATTD) algorithm to solve the cumbersome problem of finding optimal decomposition rank. For its non-obviousness in the forward acceleration of GPU side, our strategy of choosing to use lower decomposition dimensions and moderate decomposition rank, and the using of dynamic programming, have effectively reduced the number of parameters and amount of computation. And then, we have also set up a real-time target network for mobile devices. With the support of sufficient amount of experiment results, the method proposed in this paper can greatly reduce the number of parameters and amount of computation, improving the model’s speed in deducing on mobile devices. © 2021, Springer Nature Switzerland AG.

关键词： Dynamic programming

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Analysis of Data Transforming technology for Malware Detection

Analysis of Data Transforming Technology for Malware Detecti...

引用

Software Engineering, Artificial Intelligence, Networking and Parallel/distributed computing (SNPD-Winter), ACIS international Winter conference on

作者： Sung-Hwa Han ITPM Soongsil University Seoul Korea

As AI technology advances and its use increases, efforts to incorporate machine learning for malware detection are increasing. However, for malware learning, a standardized data set is required. Because malware is unstructured data, it cannot be directly learned. In order to solve this problem, many studies have attempted to convert unstructured data into structured data. In this study, the features and limitations of each were analyzed by investigating and analyzing the method of converting unstructured data proposed in each study into structured data. As a result, most of the data conversion techniques suggest conversion mechanisms, but the scope of each technique has not been determined. The resulting data set is not suitable for use as training data because it has infinite properties.

关键词： Deep learning Data conversion Training data Learning (artificial intelligence) Malware Software engineering

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international Network conference: New Technologies of Interaction for the Development of Engineering Education 21st

International Network Conference: New Technologies of Intera...

引用

21st international conference on Interactive Collaborative Learning (ICL) / 47th IGIP international conference on Engineering Pedagogy - Teaching and Learning in a Digital World

作者： Ivanov, Vasiliy Barabanova, Svetlana Galikhanov, Mansur Kaybiyaynen, Alla A. Suntsova, Maria Kazan Natl Res Technol Univ Kazan Russia

ISBN: (纸本)9783030119324;9783030119317

Today’s global processes of post-industrial society and digital economy development are closely related engineering education. Vigorous growth of technology and communications tools implies mobility and reducing national barriers in professional interaction. Globalization processes lead to integrating and unifying national economies, policies, and cultures. © 2020, Springer Nature Switzerland AG.

关键词： Engineering education

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Construction of a Sharing Mode Based on VR technology in the Context of Big Data 2

Construction of a Sharing Mode Based on VR Technology in the...

引用

2nd international conference on computing and Data Science, CONF-CDS 2021

作者： Chen, Fei School of Big Data Chongqing Vocational College of Transportation Chongqing China

With the advancement of science and technology in recent years, the era of big data has gradually matured, and the era of intelligence has gradually penetrated into ordinary life. The improvement of technology around the world not only promotes the improvement of the quality of human life, but also has a direct impact on the operating mode of companies in all walks of life. intelligent products are gradually replacing simple manual work projects. As the core technology of computers, VR technology has been widely used in various fields of social life. As the most imaginative and promising industry in the 21st century, virtual reality technology will completely change people's lifestyles. Virtual reality technology (English name: Virtual Reality, abbreviated as VR) is a new practical technology developed in the 20th century, including computers, electronic information and simulation. Including all technologies, the basic realization method is the computer VR environment to make people feel immersed in the environment. With the development of social productivity and science and technology, the demand for VR technology in various fields also increases. VR technology has made considerable progress and has become a new field of science and technology, and a proposal to establish a shared model system has been proposed. It aims to improve the state of the technology research and development industry and solve its pain. By combining VR technology with sharing, we will promote the reform of the sharing model, open public scientific and technological knowledge resources to those in need, expand the depth of access to technical knowledge, and increase the difficulty of current Internet knowledge. It aims to solve and improve the quality and satisfaction of people's knowledge needs. © Published under licence by IOP Publishing Ltd.

关键词： Big data

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