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检索条件"任意字段=2nd International Conference on Art, Science, and Engineering of Programming, Programming 2018"

共 1802 条记录，以下是1771-1780 订阅

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Design of Multi-function Signal Generator with Adjustable Square Wave Interference Based on DDS Technology

Design of Multi-function Signal Generator with Adjustable Sq...

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2010 2nd international conference on Intellectual Technology in Industrial Practice (ITIP2010)

作者： Zeguang Hana, Min Hub, Ruiqin Haoc School of Transportation and Mechanical engineering Shenyang Jianzhu University Shenyang, China

This paper aims to design a multi-function signal generator in which adjustable square wave interference can be added to output complex signal waveforms. Based on single- chip microcomputer, goals like generating signals and adding interference were realized by programming, which focus on simulating the basic working principle of Direct Digital Frequency Synthesis (DDS) technology. Instead of using DDS ROM waveform inquiry form, an external memory was used to realize the phase-amplitude conversion. With AT89C51 MCU to control, DAC0832 to convert signal, a 4×4 keyboard to set waveform parameters and 12864 LCD to display waveform parameters and operating tips, the system realized such functions as generating sine, square and triangle wave signals, adjusting signal amplitude and frequency, adding square wave interference and so on. Experiment results show that this system can generate not only regular but also complex signal waveforms. The advantages of this method are lower-cost, easy to use and having practical significance.

关键词： Signal Generator DDS Single-Chip Microcomputer Adjustable Interference

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A General Collision Tree Protocol for RFID Tag Identification to Handle the Capture Effect in RFID System

A General Collision Tree Protocol for RFID Tag Identificatio...

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2018 2nd international conference on Modeling, Simulation and Optimization Technologies and Applications(MSOTA 2018)

作者： Xiao-lin JIA Miodrag BOLOC Yu-hao FENG Ya-jun GU School of Computer Science and Technology Southwest University of Science and Technology School of Electrical Engineering and Computer Science University of Ottawa School of Social & Behavior Science University of Arizona

This paper presents a simple and efficient anti-collision protocol, named General Collision Tree Protocol(GCT), that was designed to cope with the capture effect in RFID system. The goal is to ensure that all tags are completely identified including the hidden tags and missing read tags which exist in conventional anti-collision protocols because of capture effect and other uncertainty factory in RFID system. Analysis and simulation results indicate that the performance of GCT outperforms that of the other state-of-the-art general RFID tags identification anti-collision protocols. The identification efficiency of it is always above 50% no matter what the capture probability of the RFID system is.

关键词： Uncertainty factor Capture effect Capture probability Hidden tag problem

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Experiences on Grid Shared Data programming

Experiences on Grid Shared Data Programming

引用

2nd international conference on Complex, Intelligent and Software Intensive Systems (CISIS 2008)

作者： Dacian Tudor Vladimir Cretu Computer Science and Engineering Department E2809CPolitehnicaE2809D University of Timisoara Timisoara Romania

Despite the continuous advances of the last years in grid computing, the grid computing programming paradigms are dominated by the message passing concept. There is little support for other paradigms such as shared data or associative programming. In this paper we analyze why previous attempts did not have a significant impact in the grid computing community. We start by assessing the landscape of grid programming solutions with a focus on shared data concepts. Next, we introduce an original idea to attack shared data programming on the grid by making use of both relaxed consistency models and user specified type consistency in an object oriented model.

关键词： programming Peer to peer computing Data models Adaptation model Object oriented modeling Synchronization Protocols

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Heart Disease Prediction Using Machine Learning

Heart Disease Prediction Using Machine Learning

引用

artificial Intelligence in Education and Industry 4.0 (IDICAIEI), DMIHER international conference on

作者： Haram Kamal Bakhtawar Muhammad Zunnurain Hussain Muhammad Zulkifl Hasan Muzzamil Mustafa Muhammad Atif Yaqub Hooria Umar Hoor Fatima Usama Nasir Computer Engineering Department Information Technology University Lahore Pakistan Department of Computer Science Bahria University Faculty of Information Technology University of Central Punjab Lahore Department of Artificial Intelligence University of Management & Technology Lahore Department of Computer Science National College of Business Administration and Economics Lahore Pakistan Software Developer Pakistan Bahria University

ISBN: (数字)9798331528713

ISBN: (纸本)9798331528720

The heart plays a pivotal role in the functioning of living organisms, making its diagnosis and prediction of related diseases a matter of utmost importance. Approximately 17.9 million individuals succumb to cardiovascular disease, accounting for 32% of worldwide fatalities. This global concern highlights the importance of early detection, as timely treatment can significantly reduce heart disease-related mortality. Errors in diagnosis can lead to severe consequences, including fatigue or even death. The increasing prevalence of heart-related diseases necessitates the development of precise prediction systems to enhance awareness. Machine learning, a subset of artificial Intelligence (AI), offers robust tools for predicting various events based on patterns learned from natural occurrences. This research paper evaluates the accuracy of machine learning algorithms, specifically k- nearest neighbor, decision tree, linear regression, and support vector machine (SVM), in predicting heart disease. We utilize the UCI repository dataset for training and testing and employ the Python programming language through the Anaconda Jupyter notebook for implementation and the experimental findings indicate an accuracy rate of 95.7% using the heart disease prediction model, leveraging its extensive libraries and header files to ensure accuracy and precision in our analysis.

关键词： Heart Support vector machines Training Accuracy Machine learning algorithms Predictive models Prediction algorithms Reliability Diseases Testing

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A Deep Learning Approach for Face Detection and Location on Highway

A Deep Learning Approach for Face Detection and Location on ...

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2018 2nd international conference on artificial Intelligence Applications and Technologies (AIAAT2018)

作者： Yang Zhang Peihua Lv Xiaobo Lu School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University

Face detection and location technique is a hot research direction during recent years. Especially, driver face detection on highway is still a challenging problem in social safty deserving research. This paper proposes a novel algorithm based on the improved Multi-task Cascaded Convolutional Networks(MTCNN) and Support Vector Machine(SVM) to realize accurate face region detection and feature location of driver's face on highway, predicting face and feature location via a coarse-to-fine pattern. The proposed algorithm is verified under various complex highway conditions. Experimental results show that the proposed model shows satisfied performance compared to other state-of-the-art techniques used in driver face detection and alignment, keeping robust to the occlusions, varying pose and extreme illumination on highway.

关键词： Driver face detection Face alignment Convolutional Networks Support Vector Machine

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Behind the Scenes of Successful Metaverse User Traversal

Behind the Scenes of Successful Metaverse User Traversal

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Intelligent Metaverse Technologies & Applications (iMETA), international conference on

作者： Alireza Famili Tolga Atalay Angelos Stavrou Department of Electrical & Computer Engineering Virginia Tech Virginia USA WayWave Inc Virginia USA

ISBN: (数字)9798350351514

ISBN: (纸本)9798350351521

The evolution of augmented and virtual reality (AR/VR) technologies has created the Metaverse, a digital ecosystem that provides an interactive environment in an immersive manner. Ensuring precise and reliable user localization is crucial for seamless experiences and maintaining the integrity of this virtual environment. High-accuracy localization in the Metaverse relies on a robust system of anchors, which provide real-time positioning data using radio frequency (RF) signals. This beacon-based approach offers greater precision and reliability compared to traditional visual-based methods. In this article, we present GUIDE: Geolocation in the Metaverse Using Intelligent Deployment of 5G Femtocells, a novel framework that determines the optimal number and placement of femtocells in a Metaverse environment for providing users with high-accuracy localization. To solve the NP-hard problem of femtocell placement, we transform it into a mixed integer programming (MIP) problem. Next, using evolutionary algorithms (EAs), GUIDE determines the minimal number of 5G femtocells required to achieve complete coverage and accurate real-time tracking of Metaverse users. Our evaluation presents simulation results that validate the effectiveness of the proposed system. Ultimately, the findings demonstrate that GUIDE provides a cost-effective solution for high-resolution localization of Metaverse users (MUs) in a three-dimensional indoor environment by determining the minimum number of femtocells required to support a given action space.

关键词： Location awareness Metaverse 5G mobile communication Simulation RF signals Transforms Real-time systems Femtocells Reliability Optimization

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Controlling Electric Switches Using IoT Devices as a Smart Switch via Android Application

Controlling Electric Switches Using IoT Devices as a Smart S...

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Emerging Trends in engineering and Medical sciences (ICETEMS), international conference on

作者： Pradnyawant M. Gote Rasika Hajare Karan Urkude Mohan Warbhe Yash Pachghare Tejas Pisal Department of Computer Science & Design Faculty of Engineering and Technology Datta Meghe Institute of Higher Education and Research (DU) Wardha Maharashtra India

ISBN: (数字)9798331529352

ISBN: (纸本)9798331529390

The Home automation project is to make a Smart home using an application that connects another device online using another web-based application, e.g., Sinric Pro. The evolution of smart homes has spurred the demand for accessible and cus-tomizable solutions that empower individuals to create their home automation applications. This project integrates components such as a relay module and NodeMCU for seamless control of electrical devices. The app enables remote operation, allowing users to manage their smart home environment from a smartphone or tablet. In this way, the electric switches can control a variety of sensors through the IoT-based application. The proposed outcome of the Node MCU board is to work properly with the linked devices. It can be controlled through a laptop or mobile device. We aim to demonstrate the viability and educational value of MIT App Inventor in democratizing the creation of personalized home automation applications. Home automation is easy when you are working with a Node MCU microcontroller because it is easy to use and comes with a built-in Wi-Fi module. The required components are to make a portable device. These components are connected. Each component has its application, advantages and disadvantages. Home automation project provides security, accessibility and environmental monitoring. The program runs as per algorithm, which is based on C++ language, where to control the home automation project needs input such as 0 is my OFF condition and 1 is my ON condition. According to the program, the output will be given if the condition is satisfied.

关键词： Automation Portable computers Operating systems Smart homes Control systems Security Relays Wireless fidelity Remote control programming profession

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The rational regression of high-end consumer market

The rational regression of high-end consumer market

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2017 2nd international conference on Education,Sports,arts and Management engineering(ICESAME 2017)

作者： Rao Xueling Wang Kunqiang Sanya Polytechnic Vocational College

Along with the rapid development of Chinese Economy, people’s disposable personal income and life quality are escalating. More and more customer put their focus on high end market, especially on luxury goods market. Unfortunately, Chinese customer are always denounced overseas because they always stake tens of thousands of cash in one throw of the dice. This type of irrational purchase is not what a mature high end market should have. In this article, we try to find a rational purchase method through the analysis of high end customer purchase behavior, and thus could help Chinese consumer to cultivate a healthy consumer psychology. Along with the rapid development of Chinese Economy, people’s disposable personal income and life quality are escalating. More and more customer put their focus on high end market, especially on luxury goods market. It gives no cause for much criticism to pursue high qualified life, and actually it is the ultimate goal for human society development. But in recent years, Chinese customer are always denounced overseas because they always stake tens of thousands of cash in one throw of the dice and refresh the purchase record. This type of irrational purchase is not what a mature high end market should have. So we must research about how to establish a mature high end market to attract the increasing high-end consumer group. And it is also important to the development of Chinese market economy.

关键词： High end consumption Luxury goods Motivation

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Evaluation and Classification of Black Soil Structure Degradation in Jilin by Factor Analysis & Dynamic Clustering Analysis

Evaluation and Classification of Black Soil Structure Degrad...

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2011 2nd international conference on Advanced Measurement and Test (AMT 2011)

作者： Niu Cencen Wang Qing Zhang Wen Wang Ke Guo Zhen College of Construction Engineering Jilin University

The black soil in Jilin Province, famous for providing significant amount of commodity grain to entire China, had already begun to regress to disappear on different degrees. To study the structure degradation of black soil in Jilin Province, We used SPSS and matlab programming on data information processing, thirty indexes were chosen, factor analysis on twenty-three samples from different sites and depths in Jilin Province was carried out, and dynamic clustering analysis taking the score of main factor as the variable was performed in turn. Combining them together, as a result, then the degradation mechanism was evaluated and classified. The results showed that eight factors from thirty indexes were found as the principal factors by factor analysis. By dynamic clustering analysis, the areas where twenty-three samples came from could be classified into three types: high degradation, medium degradation and light degradation. Finally, the differences among index scores were analyzed respectively, and reasonable suggested measures to prevent the black soil degradation were stated.

关键词： factor analysis black soil degradation dynamic clustering analysis

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Ensemble Sensitivity Analysis Applied to a Heavy Rainfall Event in Beijing

Ensemble Sensitivity Analysis Applied to a Heavy Rainfall Ev...

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2019 2nd international conference on Sustainable Energy, Environment and Information engineering(SEEIE 2019)

作者： Yunqian Guo Yi Wang Kan Dai Xiaomei Zhang Yueting Shen Chinese Meteorological Administration National Meteorological Center Chinese Meteorological Administration Public Meteorological Service Center Chinese Meteorological Administration Huairou Meteorological Bureau

A high-impact heavy rainfall event occurred in Beijing, China on 16 July 2018, which is a typical warm sector heavy rainfall associated with Mesoscale Convective System（MCS） of multi cells. To clarify the key factors influencing the heavy rainfall, ensemble sensitivity analysis（ESA） is conducted using the state-of-the-art European Centre for Medium-Range Weather Forecasts（ECMWF） ensemble prediction system. The ESA is a new efficient tool utilizing the information contained in ensemble forecast to calculate a linear relationship between a forecast metric and model perturbation variable. Results show that the low-level southwestly moist flow plays a significant role in the heavy rainfall in Beijing which is favorable for abundant water vapor and dynamic lifting.

关键词： ensemble sensitivity analysis heavy rainfall ensemble prediction system

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