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检索条件"任意字段=Proceedings of the 6th International Conference on Algorithms, Computing and Systems"

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Simplified detection algorithm in STBC-MSK system over flat fading channel

Simplified detection algorithm in STBC-MSK system over flat ...

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6th international conference on Intelligent computing and Signal Processing (ICSP)

作者： Xueda Zhang Jinhua Sun Fang Wang Haoran Zheng YuTao Liu State Key Laboratory of Integrated Service Networks Xidian University Xi’an China The 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang China

ISBN: (纸本)9781665447300

Space-time block coding (STBC) improves the transmission performance of the MIMO communication system, but it also leads to high complexity at the receiver. In this paper, we propose a simplified detection algorithm using PAM decomposition of CPM for space-time block coded minimum frequency shift keying (STBC-MSK) transmission system. Intrafix symbols are inserted after the information bits to maintain the continuity of phase, and Laurent decomposition representation of MSK is performed on the signal before STBC, and matched filtering is used instead of maximum likelihood sequence detection (MLSD) at the receiver. Analysis and simulation results show that this simplified detection algorithm efficiently reduces the computation complexity with a very small degradation in error performance compared with the conventional MLSD.

关键词： Fading channels Degradation Maximum likelihood detection Filtering Simulation Signal processing algorithms Receivers

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proceedings - IEEE Congress on Cybermatics: 2020 IEEE international conferences on Internet of things, ithings 2020, IEEE Green computing and Communications, GreenCom 2020, IEEE Cyber, Physical and Social computing, CPSCom 2020 and IEEE Smart Data, SmartData 2020

Proceedings - IEEE Congress on Cybermatics: 2020 IEEE Intern...

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2020 IEEE Congress on Cybermatics: 13th IEEE international conferences on Internet of things, ithings 2020, 16th IEEE international conference on Green computing and Communications, GreenCom 2020, 13th IEEE international conference on Cyber, Physical and Social computing, CPSCom 2020 and 6th IEEE international conference on Smart Data, SmartData 2020

ISBN: (纸本)9781728176475

the proceedings contain 135 papers. the topics discussed include: real-time operating systems for cyber-physical systems: current status and future research;a semi-supervised dynamic ensemble algorithm for IoT anomaly detection;an efficient hybrid approach for brain tumor detection in MR images using Hadoop-MapReduce;drug-drug interaction extraction using pre-training model of enhanced entity information;breast cancer image classification based on CNN classifier;an assessment of the usability of machine learning based tools for the security operations center;machine learning recognition of gait identity via shoe embedded accelerometer;leveraging walking inertial pattern for terrain classification;multicast traffic throughput maximization through dynamic modulation and coding scheme assignment in wireless sensor networks;and X-DOG: an intelligent x-ray-based dangerous goods detection and automatic alarm system.

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EVOLUTION OF INNOVATIVE DEVELOPMENT OF FOREIGN ECONOMIC ACTIVITY OF thE REPUBLIC OF UZBEKISTAN 22

EVOLUTION OF INNOVATIVE DEVELOPMENT OF FOREIGN ECONOMIC ACTI...

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proceedings of the 6th international conference on Future Networks & Distributed systems

作者： Nigora Tulkunovna Talipova Luiza Sayfullovna Makhmutkhodjaeva Lola Normuminovna Khazratkulova Department of International Economy and Business Tashkent branch of Plekhanov Russian Economic University Uzbekistan Department of Finance and Business Analytics Tashkent State University of Economics Uzbekistan

ISBN: (纸本)9781450399050

the article examines the main stages of the liberalization of foreign economic activity in Uzbekistan, analyzes the features of the formation of a new policy at the present stage of development, characterizing the strengths and weaknesses of each of the stages passed. For this purpose, an overview and generalization of key provisions in the research of leading theoretical schools and directions in the field of foreign economic activity planning, logic and stages of strategic management of this process both at the meso and at the macro level is presented. the scientific novelty of this article lies in the comprehensive study of the theoretical and methodological foundations for the development of foreign economic activity (FEA) in Uzbekistan; theoretical substantiation of the feasibility and identification of specific features of the transition to innovative development of the foreign economic complex in the context of globalization. As a result of the study, the key function of the state in the development of foreign economic activity is revealed, the content side of which is a set of tools that ensure the harmonization of the interaction of methods and regulatory tools, which consists in realizing competitive advantages at the international level, ensuring the country's active participation in the system of world economic relations. In the conclusion, it is concluded that a correctly selected foreign economic policy has created conditions for the growth and development of the economy not only within the framework of the state, but also for the country's entry into world markets.

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Adversarial Training for Underwater Target Recognition in Complex Marine Conditions 22

Adversarial Training for Underwater Target Recognition in Co...

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22nd IEEE international conference on High Performance computing and Communications, 18th IEEE international conference on Smart City and 6th IEEE international conference on Data Science and systems, HPCC-SmartCity-DSS 2020

作者： Zeng, Xin Liu, Xingang Song, Gaoyu Wang, Dayu Luo, Hengguang Zhang, Boxuan University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China 54th Research Institute of Cetc Escc Shijiazhuang China

ISBN: (纸本)9781728176499

Studies on underwater target recognition have been making impressive progress recently due to the application of many deep learning methods. However, when the test set and training set contain different marine background noises, the performance of the trained model deteriorates. According to our observations, such problem cannot be solved by traditional noise reduction techniques and alleviating overfitting. Considering the complexity of marine background noise and the dissimilarity in transmission channels under different marine conditions, we first compare various marine conditions to different generalized channels so that this problem can be compared to channel mismatch in the field of speaker recognition. Inspired by domain adaptation and channel compensation, we propose a Generalized Channel-Invariant Network (GCIN), which uses a gradient reversal layer (GRL) and an adversarial training framework to eliminate the dissimilarity in the received data caused by various marine conditions and then a more robust model is obtained. Experiments on two multi-Target and multi-marine-condition datasets confirmed that compared with other CNN-based methods that do not use GRL, GCIN can not only effectively alleviate the mismatch problem under marine conditions within given range, increase by 15% when the training set and test set are mismatched, but also improve the accuracy by at least 2.2% when two sets are matched. © 2020 IEEE.

关键词： Deep neural networks

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VIRTUAL RESEARCH ENVIRONMENT NANOHLIT for HYBRID NANOSTRUCTURES RESEARCH on the HYBRILIT PLATFORM 9

VIRTUAL RESEARCH ENVIRONMENT NANOHLIT for HYBRID NANOSTRUCTU...

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9th international conference "Distributed computing and Grid Technologies in Science and Education", GRID 2021

作者： Butenko, Yuri Nechaevskiy, Andrey Rahmonv, Ilhom Streltsova, Oksana Meshcheryakov Laboratory of Information Technologies Joint Institute for Nuclear Research 6 Joliot-Curie St Dubna 141980 Russia Bogoliubov Laboratory of Theoretical Physics Joint Institute for Nuclear Research 6 Joliot-Curie St Dubna 141980 Russia

the paper describes the main components of the NANOHLIT virtual research environment (VRE), developed as part of the joint MLIT and BLTP JINR project, for physical processes modeling in complex systems based on Josephson Junctions. VRE is developed and deployed on the basis of the heterogeneous HybriLIT computing platform (LIT JINR). One of the features of the developed VRE is the use of high-performance calculations on heterogeneous computing platforms. the main goals of creating NANOHLIT were to create a convenient research environment for working with models, performing calculations by various groups of researchers and ensuring storage of simulation results. VRE combines convenient web-based tools for creating models, an interface for performing calculations on the heterogeneous computing platform HybriLIT and tools for results visualization and analysis. © 2021 CEUR-WS. All rights reserved.

关键词： Digital storage

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Analysis and Detection of Breast Cancer Using Various Machine Learning Strategies

Analysis and Detection of Breast Cancer Using Various Machin...

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international conference on computing, Communication & Automation (ICCCA)

作者： Janvi Umesh Mirchandani Siddhaling Urolagin Birla Institute of Technology & Science Pilani Dubai International Academic City Dubai UAE APP Centre for AI Research (APPCAIR) Birla Institute of Technology & Science Pilani Dubai International Academic City Dubai UAE

ISBN: (纸本)9781665447539

Identification of Breast Cancer cells as Benign or Malignant is an important task for the early stages of Cancer to reduce fatality caused by it. Using Machine learning, we can predict the type of cancer, which allows us to provide better treatment. To classify the tumors, we use 7 different models such as Logistic Regression, Decision Tree Classification, K-Nearest Neighbors, Stochastic Gradient Descent, Support Vector Machine, Gaussian Naive Bayes and Random Forest Classification. these models are then compared on various evaluation metrics such as Accuracy, Precision, Recall and F1-Score to choose the best model for the prediction. this way the data is analyzed and misdiagnosis in the future can be prevented.

关键词： Support vector machines Measurement Training Predictive models Prediction algorithms Breast cancer Classification algorithms

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Improving Quality of Seaport's Work Schedule: Using Aggregated Indices Randomization Method 4th

Improving Quality of Seaport's Work Schedule: Using Aggregat...

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4th international Scientific conference on Intelligent Information Technologies for Industry (IITI)

作者： Olga, Vasileva Vladimir, Kiyaev Artur, Azarov St Petersburg State Univ St Petersburg Russia St Petersburg State Univ Econ St Petersburg Russia Russian Acad Sci St Petersburg Inst Informat & Automat 39 14 Th Line VO St Petersburg Russia

ISBN: (纸本)9783030500979

Genetic algorithms can be used in combination with multi-agent monitoring and data collection technologies for compiling and adjusting the dynamically changing work schedule of an economic entity with complex internal infrastructure. In this case, the important issue is the quality of the drawn-up schedule and its monitoring. the article reviews the possibility of applying the method of randomized summary indicators for assessing the quality of the compiled and dynamically adjusted service schedules for ships in the seaport.

关键词： Scheduling Genetic algorithms Multi-agent technologies the method of summary indicators

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5th international conference on Emerging Research in computing, Information, Communication and Applications, ERCICA 2018

5th International Conference on Emerging Research in Computi...

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5th international conference on Emerging Research in computing, Information, Communication and Applications, ERCICA 2018

ISBN: (纸本)9789811360008

the proceedings contain 56 papers. the special focus in this conference is on Emerging Research in computing, Information, Communication and Applications. the topics include: A review on feature selection algorithms;a review on ensembles-based approach to overcome class imbalance problem;"college explorer" an authentication guaranteed information display and management system;activity-based music classifier: A supervised machine learning approach for curating activity-based playlists;new password embedding technique using elliptic curve over finite field;performance of wind energy conversion system during fault condition and power quality improvement of grid-connected wecs by facts (upfc);comprehensive survey on hadoop security;descriptive data analysis of real estate using cube technology;temporal information retrieval and its application: A survey;A feasibility study and simulation of 450 kw grid connected solar pv system at NMIT, Bangalore;a survey on multi-resolution methods for de-noising medical images;performance analysis of vedic multiplier with different square root bk adders;analysis of traffic characteristics of skype video calls over the internet;smart tourist guide (touristo);thefted vehicle identification system and smart ambulance system in VANETs;Performance study of openMP and hybrid programming models on CPU–GPU cluster;signature analysis for forgery detection;optimal sensor deployment and battery life enhancement strategies to employ smart irrigation solutions for indian agricultural sector;smart waste monitoring using wireless sensor networks;Digital filter technique used in signal processing for analysing of ECG signal;prediction of a dam’s hazard level: A case study from South Africa;geofencing-based accident avoidance notification for road safety;smart sensing for vehicular approach.

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6th international conference on Learning and Collaboration Technologies, LCT 2019, held as part of the 21st international conference on Human-Computer Interaction, HCI international 2019

6th International Conference on Learning and Collaboration T...

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6th international conference on Learning and Collaboration Technologies, LCT 2019, held as part of the 21st international conference on Human-Computer Interaction, HCI international 2019

ISBN: (纸本)9783030218133

the proceedings contain 60 papers. the special focus in this conference is on Learning and Collaboration Technologies. the topics include: the Neuro-Subject: A Living Entity with Learnability;information and Communication Science Challenges for Modeling Multifaceted Online Courses;Let’s Talk About Tools and Approaches for Teaching HCI;four-Dimensional Learning, a Response to Social Responsibility in Learning;learning Translation in Geometric Transformations through Digital and Manipulative Artefacts in Synergy;fables for Teachers and Pupils: Incrementally Defined Scenario-Based, Interactive and Spatial Stories;proposing an Estimation Method of Mental Fatigue by Measuring Learner’s Leg Movement;collaborative Meaning Construction in Socioenactive systems: Study with the mBot;gender Difference in Language Learning with Technology;Measuring Students’ Acceptance to AI-Driven Assessment in eLearning: Proposing a First TAM-Based Research Model;cognitive Load Levels While Learning with or Without a Pedagogical Agent;where the User Does Look When Reading Phishing Mails – An Eye-Tracking Study;automated Behavioral Modeling and Pattern Analysis of Children with Autism in a Joint Attention Training Application: A Preliminary Study;student Emotion Recognition in Computer Science Education: A Blessing or Curse?;creative Learning and Artefacts Making: Promises and Challenges in Practice;effects of Teaching Methodology on the Students’ Academic Performance in an Introductory Course of Programming;Adaptive Learning Case Studies Implementation at Architectural BIM Construction Courses;case Studies of Applications to Encourage Students in Cyber-Physical Environment;supporting the Teaching and Learning for Subject of Computer Sciences;Programming Teaching Tools Feature Assessment Associated with Brazilian Curriculum Base Obtained through BPL Platforms Analysis.

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6th international conference on Geo-informatics in Sustainable Ecosystem and Society, GSES 2018

6th International Conference on Geo-informatics in Sustainab...

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6th international conference on Geo-informatics in Sustainable Ecosystem and Society, GSES 2018

ISBN: (纸本)9789811370243

the proceedings contain 46 papers. the special focus in this conference is on Geo-informatics in Sustainable Ecosystem and Society. the topics include: Research on ICS intrusion success rate algorithm based on attack and defense countermeasures;the review of task scheduling in cloud computing;Prediction model of river water quality time series based on ARIMA model;a Review of Gait Behavior Recognition Methods Based on Wearable Devices;k-Means Optimization Algorithm Based on Tightness Mutation;Study of Coal Integrated Network Decision Support System Based on GIS;analysis on Spatio-Temporal Changes of the Land Covers in Shenyang;hierarchical Decision Tree for Change Detection Using High Resolution Remote Sensing Images;surface Features Classification of Airborne Lidar Data Based on TerraScan;Enhancement of Class Separability for Polarimetric TerraSAR-X Data and Its Application to Crop Classification in Leizhou Peninsula, Southern China;the Regionalization of Eco-Geological Environment System and Brief Function Evaluation of Luoyang City;cloud Detection in Landsat Imagery Using the Fractal Summation Method and Spatial Point-Pattern Analysis;extraction of Target Geological Hazard Areas in Loess Cover Areas Based on Mixed Total Sieving Algorithm;research on Heat and Humidity Transfer Performance Evaluation of Spraying Mine Exhaust Air Heat Exchanger;land Cover Change Analysis in Wuhan, China Using Google Earth Engine Platform and Ancillary Knowledge;overview of Speed Sensorless Control of Permanent Magnet Synchronous Motors;experimental Study on Lateral Compaction Characteristics of Filled Gangue Under Limited Roof Condition;using Improved Genetic Algorithm to Solve the Equations;design of Security Alarm System Based on LoRa Technology.

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