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Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty 24

Bayesian Active Learning by Soft Mean Objective Cost of Unce...

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24th international conference on Artificial Intelligence and Statistics (AISTATS)

作者： Zhao, Guang Dougherty, Edward R. Yoon, Byung-Jun Alexander, Francis J. Qian, Xiaoning Texas A&M Univ Elect & Comp Engn College Stn TX 77843 USA Texas A&M Univ Comp Sci & Engn College Stn TX 77843 USA Brookhaven Natl Lab Upton NY 11973 USA

To achieve label efficiency for training supervised learning models, pool-based active learning sequentially selects samples from a set of candidates as queries to label by optimizing an acquisition function. One category of existing methods adopts one-step-look-ahead strategies based on acquisition functions tailored with the learning objectives, for example based on the expected loss reduction (ELR) or the mean objective cost of uncertainty (MOCU) proposed recently. These active learning methods are optimal with the maximum classification error reduction when one considers a single query. However, it is well-known that there is no performance guarantee in the long run for these myopic methods. In this paper, we show that these methods are not guaranteed to converge to the optimal classifier of the true model because MOCU is not strictly concave. Moreover, we suggest a strictly concave approximation of MOCU-Soft MOCU-that can be used to define an acquisition function to guide Bayesian active learning with theoretical convergence guarantee. For training Bayesian classifiers with both synthetic and real-world data, our experiments demonstrate the superior performance of active learning by Soft MOCU compared to other existing methods.

关键词： Learning systems

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Estimating and Forecasting a German Term Structure

Estimating and Forecasting a German Term Structure

引用

ieee international Workshop on intelligent data acquisition and advanced computing systems: Technology and Applications

作者： Wolfgang Tysiak University of Applied Sciences and Arts Dortmund Dortmund Germany

To forecast a term structure means that you can not simply forecast the rates for the different times to maturity. By doing so one would neglect the dependencies within the term structure itself. Therefore you have to... 详细信息

关键词： Technology forecasting Economic indicators conferences intelligent structures data acquisition Costs

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EEAI: An End-edge Architecture for Accelerating Deep Neural Network Inference 23

EEAI: An End-edge Architecture for Accelerating Deep Neural ...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in Sensor, Cloud and Big data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Liu, Guozhi Dai, Fei Huang, Bi Qiang, Zhenping Li, LeCheng Wang, Shuai School of Big Data and Intelligent Engineering Southwest Forestry University Kunming China

ISBN: (纸本)9781665494571

Deep Neural Networks (DNNs), as a key technology for Artificial Intelligence (AI) applications in the 5G era, have been widely used in the field of mobile intelligence. However, it is challenging to run computation-intensive DNN-based applications on mobile devices due to the limited resources. What's worse, traditional cloud-assisted approach requires significant amounts of data to be uploaded to the cloud through wireless network, leading to poor real-time performance and low quality of user experience. To address these challenges, in this paper, we propose EEAI, a framework that end-edge collaborative DNN inference. Firstly, we analyze the characteristics of DNN-based applications. Then, we introduce edge computing, and design EEAI, a light-weight scheduler to automatically partition DNN computation between mobile devices and edge servers at the granularity of DNN layers. Finally, we verify the effectiveness of the EEAI under different network environments (4G, 5G, and Wi-Fi). Experiments show that the proposed method is effective and has good performance. © 2021 ieee.

关键词： Deep learning Performance evaluation Energy consumption 5G mobile communication Neural networks Collaboration Computer architecture

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Performance Analysis of V2X-based systems for Improved Vulnerable Road Users Safety 25

Performance Analysis of V2X-based Systems for Improved Vulne...

引用

ieee 25th international conference on intelligent Transportation systems (ITSC)

作者： Karoui, Mouna Mannoni, Valerian Denis, Benoit Mayrargue, Sylvie Univ Grenoble Alpes CEA Leti F-38000 Grenoble France

ISBN: (数字)9781665468800

ISBN: (纸本)9781665468800

With the support of Vehicle-To-everything (V2X) communications, connected and automated road safety systems could offer a revolutionary, complementary solution to standalone on-board sensors, while drastically reducing the probability of accidents, as well as the likelihood of fatal injuries for Vulnerable Road Users (VRUs). In this paper, we explore different options for such safety systems, in terms of overall architecture, V2X technology and network deployment, or sensor perception. First, in a decentralized architecture using Pedestrian-To-Vehicle (P2V) and Infrastructure-To-Vehicle (I2V) connectivity relying on C-V2X sidelink (e.k.a., PC5 Mode 4), we examine two concrete cases, with V2X-equipped and passive VRUs respectively. In addition, we consider a centralized solution involving Vehicle-to-Network (V2N) links based on the 5G New Radio (5G-NR) technology, where pedestrian detection relies on the fusion of vehicles' sensors data in a Multi-access Edge computing (MEC) system. An hybrid approach combining V2N and I2V links is also evaluated. All these use cases are simulated using a full-stack simulator, where we analyze the overall probability of driver awareness, which combines both probabilities of successful sensors operation and critical information reception via V2X at the vehicle (i.e., prior to the crash). Results emphasize the pros/cons of each system architecture independently, as well as the benefits from hybrid multi-technology approaches to raise the driver's awareness about the presence of non-equipped VRUs.

关键词： C-V2X (PC5 mode 4) 5G-NR P2V I2V V2N camera perception VRU safety system-level simulation.

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Smart and Reliable Transportation System based on Message Queuing Telemetry Transport Protocol

Smart and Reliable Transportation System based on Message Qu...

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international conference on intelligent computing and Control systems (ICCS)

作者： Swarnamugi, M. Chinnaiyan, R. CMR Inst Technol Dept MCA Bengaluru India Jyoti Nivas Coll Autonomous Dept MCA Bengaluru India CMR Inst Technol Dept Informat Sci & Engn Bengaluru India

ISBN: (纸本)9781538681138

With the advancement of IoT, the traditional transportation system be wrap up with intelligence to provide smart and quick services to user and be better informed on road safety and make safer and coordinated transportation medium. This intelligent transportation system ITS uses wired and wireless connectivity to communicate among objects connected. Whatever the application usage of ITS is, it's development require more reliable and invulnerable communication among the objects connected and have to be free from connectivity problems like service outrages, signal loss, bandwidth issues, problems of high latency and loss of data communication. Considering all this, this paper addresses the use of MQTT, a light weight messaging protocol in the message transfer of ITS application. The effectiveness of MQTT in ITS is illustrated by discussing different use case scenarios.

关键词： intelligent transportation System (ITS) MQTT QoS Internet Communication Protocol

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Monitoring Design of Multi-cache Parallel acquisition System 3

Monitoring Design of Multi-cache Parallel Acquisition System

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3rd international conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2023

作者： Zhang, Ying Zhao, Qian Jiang, Chongwu Tao, Yizhu Wang, Shihui Beijing Aerospace Automatic Control Institute National Key Laboratory of Science and Technology on Aerospace Intelligent Beijing100854 China Yuying School Yuying Education Group Beijing100018 China

ISBN: (纸本)9798350302356

This paper uses parallel acquisition technology to complete the monitoring task of the system, and at the same time, the line measurement technology is not only limited to the parallel acquisition of multiple signals, but also includes the use of a platform with parallel computing functions to process the collected data in parallel, which greatly improves the real-time performance and processing efficiency of the data acquisition system. In addition to the parallel acquisition and parallel processing of analog signals, it also realizes the ability to test in parallel for a variety of communication interfaces, which can test a variety of different types of interfaces at the same time, which greatly increases the test ability and improves the test efficiency of the system. © 2023 ieee.

关键词： Electric power utilization

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advanced transaction scheduling protocol for multilevel secure database in wireless mobile network environment 4

Advanced transaction scheduling protocol for multilevel secu...

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Joint 4th ieee international conference on ATM (ICATM 01) and High Speed intelligent Internet Symposium

作者： Kim, HW Park, DS Rhee, HK Kim, UM Sung Kyun Kwan Univ Sch Comp Engn Suwon Kyungkido South Korea

ISBN: (纸本)0780370937

We propose an advanced transaction scheduling protocol to improve the degree of concurrency and to satisfy security requirements for multilevel secure database in wireless mobile network environment. Wireless communication is characterized by frequent spurious disconnections. So short-lived transaction must quickly access database without any delay by long-lived one. We adapted two-phase locking protocol to multilevel secure database. Altruistic locking, as an advanced protocol, has attempted to reduce delay effect associated with lock release moment by use of the idea of donation. An improved form of altruism has also been deployed for extended altruistic locking (XAL). This is in a way that scope of data to be early released is enlarged to include even data initially not intended to be donated. Our protocol is based on extended altruistic locking, but a new method, namely two-way donation locking for multilevel secure database (2DL/MLS), is additionally used in order to satisfy security requirements and concurrency. The efficiency of the proposed protocol was verified by experimental results.

关键词： database systems

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Outstanding People and Works in the Area of Computer Science Enhancing Quality of Life. The Evidence from Prestigious American, European and Asian Computer Science Awards 40th

Outstanding People and Works in the Area of Computer Science...

引用

40th Anniversary international conference on Information systems Architecture and Technology (ISAT)

作者： Wiechetek, Lukasz Marie Curie Sklodowska Univ Fac Econ Lublin Poland

ISBN: (纸本)9783030304430;9783030304423

Information technology is one of the fastest developing business sector and research area. People use IT solutions based on computer science both for entertainment, education and work. Modern organizations cannot operate effectively without application of IT tools for data acquisition, storage, communication, visualization, but also for linking digital world with the real life or the real business processes. Works in the field of computer science are the foundation of fast and balanced development of IT sector. They are the accelerators of transformation from traditional, real economy into digital business and digital society. The main aim of the article is to explore what nations, people and works played the most significant role in development of information technology during the previous decades. Also what works are crucial today to ensure stability of present digital natives. The author analyzes the five prestigious awards in computer science to find out what works were honored for the past hundred years. In the first part of the article the characteristics of the explored awards is presented. The second part of the paper contains quantitative analysis of award recipients (n = 224) and prizes comparison. The performed literature review and the analysis of the awarded works allow to conclude that during the last decades the main drivers for IT development, noticed by awards committees were related both to the theory, hardware, software development and application areas. The vast majority of laureates came from (was born in) United States (62%), United Kingdom (8,5%) and Japan (4,9%). At the beginning of twenty first century huge amounts of data are generated not only by people but also autonomous objects, so the most crucial in computer science was to prepare systems and networks for secure processing (transferring) huge amounts of data in real time and find methods to assess the accuracy and quality of the information. Therefore, new awards like ieee Internet Aw

关键词： Computer science IT Award Turing Award Millennium Prize Kyoto Prize ieee Medal of Honor ieee Internet Award IT evolution Computer science evolution Important works in IT

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2008 4th international ieee conference intelligent systems, IS 2008

2008 4th International IEEE Conference Intelligent Systems, ...

引用

2008 4th international ieee conference intelligent systems, IS 2008

ISBN: (纸本)9781424417391

The proceedings contain 154 papers. The topics discussed include: human body parts tracking using pictorial structures and a genetic algorithm;from analysis of human-human phone calls to intelligent user interfaces;parallel processing of cooperative genetic algorithm for nurse scheduling;real-coded genetic algorithms and nonlinear parameter identification;a personalized music recommendation system with a time-weighted clustering;a methodological approach ball bearing damage prediction under fretting wear conditions;a concept for ant-routing with colored pheromones in wireless mesh networks;an extension of the relational model to intuitionistic fuzzy data quality attribute model;adaptive fuzzy clustering for improving classification performance in yeast data set;a hybrid method using PSO and NHL algorithms to train fuzzy cognitive maps;and granular computing for intelligent social network modeling and cooperative decisions.

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Deep Neural Architecture for Face mask Detection on Simulated Masked Face dataset against Covid-19 Pandemic

Deep Neural Architecture for Face mask Detection on Simulate...

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international conference on computing, Communication, and intelligent systems (ICCCIS)

作者： Negi, Alok Kumar, Krishan Chauhan, Prachi Rajput, R. S. Natl Inst Technol Uttarakhand Dept Comp Sci & Engn Srinagar 246174 Garhwal India GB Pant Univ Agr & Technol Coll Technol Pantnagar 263153 Uttar Pradesh India GB Pant Univ Agr & Technol Dept OfMath Stat & Comp Sci Pantnagar 263153 Uttar Pradesh India

ISBN: (纸本)9781728185293

The dangerous COVID-19 (SARS-CoV-2) is rising steadily and globally, with more than 72,851,747 confirmed cases observed to WHO including 1,643,339 deaths till 17 December 2020. The country's economy is now almost fully halted, people are stuck up and investment becomes deteriorating. So, this is turning to worry of the government for a development and health. Health organizations are often desperate for evolving decision-making innovations to overcome this viral virus and encourage people to receive rapid and effective responses in real-time. Thus, it is important to create auto-mechanisms as a preventive shield to ensure healthy humanity against SARS-CoV-2. advanced analytics methods and other strategies could also empower researchers, learners and the pharmaceutical industry to acknowledge the hazardous COVID-19 and speed it up care procedures by efficiently testing vast volumes of research data. The prevention method consequence is being used to effectively manage, calculate, forecast and monitor current infected people and future potential cases. Therefore, we proposed CNN and VGG16 based deep learning models to incorporate and enforce AI-based precautionary measures to detect the face mask on Simulated Masked Face dataset (SMFD). This technique is capable of recognizing masked and unmasked faces to help monitor safety breaches, facilitate the use of face masks, and maintain a secure working atmosphere.

关键词： CNN Deep Learning data Augmentation Face Mask Detection Simulated Masked Face dataset (SMFD) VGG 16 WHO

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