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Deep learning-based quantitative steganalysis to detect motion vector embedding of HEVC videos 5

Deep learning-based quantitative steganalysis to detect moti...

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5th IEEE international conference on Data Science in Cyberspace, DSC 2020

作者： Huang, Xiongbo Hu, Yongjian Wang, Yufei Liu, Beibei Liu, Shuowei South China University of Technology School of Electronic and Information Engineering Guangzhou China Sino-Singapore International Joint Research Institute Guangzhou China

ISBN: (纸本)9781728195582

Generally, the purpose of a steganalysis algorithm is to establish the presence of secret messages in the stego data. However, quantitative steganalyzers can reveal more information about the secret communication by estimating the exact volume of embedded messages. Quantitative steganalysis is a crucial step for breaking secret codes in many practical scenarios. this work concerns about the quantitative steganalysis of videos. Most video steganographical algorithms embed secret messages by modifying the values of motion vector in the compressed domain. We propose a general framework for constructing video quantitative steganalyzers that are able to detect the embedding of motion vectors based on features learned by deep convolutional neural networks. Considering that video structure is quite different from that of image, we focus on the construction of input data matrix for deep convolutional neural network and the robustness of the detection network against different bitrates. Because videos at different embedding rates have different steganalysis features, we use multiple models to extract features for the construction of feature vector. Experimental results have validated the proposed method. Our deep learning-based steganalyzer obtained satisfactory estimation accuracy on testing HEVC videos at multiple embedding rates under different video bitrates. © 2020 IEEE.

关键词： Embeddings

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5th international Symposium on Ubiquitous Networking, UNet 2019

5th International Symposium on Ubiquitous Networking, UNet 2...

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5th international Symposium on Ubiquitous Networking, UNet 2019

ISBN: (纸本)9783030580070

the proceedings contain 20 papers. the special focus in this conference is on Ubiquitous Networking. the topics include: A congestion game analysis for route-parking selection with dynamic pricing policies;fast uplink grant for noma: A federated learning based approach;iterative decoding for scma systems using log-mpa with feedback ldpc decoding;iiot-based prognostic health management using a markov decision process approach;analysis of the coexistence of ultra narrow band and spread spectrum technologies in ism bands;msnd: Multicast software defined network based solution to multicast tree construction;dependency between the distance and international voice traffic;combined beam alignment and power allocation for noma-empowered mmwave communications;extended low rank parity check codes and their efficient decoding for multisource wireless sensor networks;initial centroid selection method for an enhanced k-means clustering algorithm;energy-efficient mimo multiuser systems: Nash equilibrium analysis;preface;a wearable iot-based fall detection system using triaxial accelerometer and barometric pressure sensor;iot platforms for 5g network and practical considerations: A survey;a fast tdma schedule based on greedy approach;comparison of multi-channel ranging algorithms for narrowband lpwa network localization;optical wireless transmission of electrocardiogram during effort;iot-based vital sign monitoring using uwb sensor.

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5th international conference on algorithms for Computational Biology, AlCoB 2018

5th International Conference on Algorithms for Computational...

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5th international conference on algorithms for Computational Biology, AlCoB 2018

ISBN: (纸本)9783319919379

the proceedings contain 12 papers. the special focus in this conference is on algorithms for Computational Biology. the topics include: Consensus decoding of recurrent neural network basecallers;Utilize imputation method and meta-analysis to identify DNA-methylation-mediated microRNAs in Ovarian cancer;reconciliation feasibility of non-binary gene trees under a duplication-loss-coalescence model;solving the tree containment problem for reticulation-visible networks in linear time;polynomial-time algorithms for phylogenetic inference problems;approximation algorithms for sorting permutations by fragmentation-weighted operations;heuristics for the sorting signed permutations by reversals and transpositions problem;sorting permutations by limited-size operations;Fast algorithm for vernier search of long repeats in DNA sequences with bounded error density;fixed parameter algorithms and hardness of approximation results for the structural target controllability problem.

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Night Vision Bot using Dynamic IR and Object Detection

Night Vision Bot using Dynamic IR and Object Detection

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international conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT)

作者： Devesh Abhyankar Gurumoorty Suresh Hrithik Sambhaji Karjule Parth Bhardwaj Harish Muleva Anurag Mahajan Symbiosis Institute of Technology Symbiosis International (Deemed University) (SIU) Lavale Pune India Dell Technologies Bangalore India

ISBN: (纸本)9781665432733

Robotics as an extension to the field of Engineering has been of great support to the evolution of mankind. through robotics, even complex tasks can be simplified through simple automation and decreased human intervention. Robots even reduce the workload on humans and increase the level of efficiency and accuracy in doing any task. Robotics has branched out and helped in the development and evolution of many fields such as agriculture, defense, parenting, healthcare, industry, aerospace and, so on. the robots which are used for survey or exploration can be used for many purposes in the fields of Wildlife, Industry and, Defense. these robots are capable of going to the areas which are vulnerable for humans, and they can be controlled from a reasonable distance. this robot due to its small size and in-built night vision camera makes it a very useful tool for surveillance and exploration. this robot has the ability to be controlled from a distance and it will enable the users to view objects clearly at night (or in darkness). these types of robots have been in existence for a couple of years, only for new developments to be added to them. the very recent development involves the integration of IoT (Internet of things) to control the robot remotely and obtain information from it. the latest addition however is the addition of a new concept, known as Dynamic IR, which involves the control of the intensity of the IR light to produce better images. Moreover, with the addition of Object Detection using Machine Learning algorithms, it can predict what type of obstacle it may face.

关键词： Night vision Service robots Surveillance Wildlife Robot vision systems Object detection Aerodynamics

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5th international conference on Information, Communication and Computing Technology, ICICCT 2020

5th International Conference on Information, Communication a...

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5th international conference on Information, Communication and Computing Technology, ICICCT 2020

ISBN: (纸本)9789811596704

the proceedings contain 24 papers. the special focus in this conference is on Information, Communication and Computing Technology. the topics include: GANTOON: Creative Cartoons Using Generative Adversarial Network;time Series Missing Value Prediction: algorithms and Applications;Handling SQL Injection Attack Using Progressive Neural Network;a Novel Automated Method for Detection of Eye Diseases Using Image Processing on Retinal Images;Plant Disease Detection: An Augmented Approach Using CNN and Generative Adversarial Network (GAN);compilation of a Social Network Lexicon for Determining the Profile of Authors;Generalized Constraint Representation of Comparative Adjectives and Its Type-2 Fuzzy Modeling in PNL;homogeneous Pools to Heterogeneous Ensembles for Unsupervised Outlier Detection;FPGA Based Design of Speech Encryption and Decryption for Secure Communication;a Survey of Network Attacks in Wireless Sensor Networks;LiFi Based Scheme for Handover in VANET: A Proposed Approach;Dual-Level Security with Spiral Mapping [DLSSM] Scheme for Secure Covert Transmission of Speech Signals in Various Indian Languages;a Novel Energy Aware Resource Allocation Algorithm into a P2P Based Fog Computing Environment;Network Steganography Using Extension Headers in IPv6;partial Migration for Re-architecting a Cloud Native Monolithic Application into Microservices and FaaS;preface;mobility Aware Bandwidth Aggregation Scheme for Heterogeneous Links of Multi-Interface Mobile Node;hand Motion Capturing and Simulation in Medical Rehabilitation Applications;efficient Authentication Protocol for Heterogeneous Wireless Networks;a Novel Transformation Based Security Scheme for Multi-instance Fingerprint Biometric System;smart Parking System to Predict Occupancy Rates Using Machine Learning;analyzing Fuzzy Phrases for Emotion Detection Using Distance Based Approach.

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5th international conference on Interactive Collaborative Robotics, ICR 2020

5th International Conference on Interactive Collaborative Ro...

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5th international conference on Interactive Collaborative Robotics, ICR 2020

ISBN: (纸本)9783030603366

the proceedings contain 31 papers. the special focus in this conference is on Interactive Collaborative Robotics. the topics include: A Combination of theta*, ORCA and Push and Rotate for Multi-agent Navigation;evaluation of Image Synthesis for Automotive Purposes;collision Detection in the Work of Collaborative Robots Using an Intelligent System;method of Formation of Reference Movement Speed of Working Tool of Multilink Manipulator;icr 2020 preface;A Concept for a HRC Workspace Using Proximity Sensors;distributing Tasks in Multi-agent Robotic System for Human-Robot Interaction Applications;a*-Based Path Planning Algorithm for Swarm Robotics;modeling of Human-Machine Interaction in an Industrial Exoskeleton Control System;gesture-Based Intelligent User Interface for Control of an Assistive Mobile Information Robot;distributed Methods for Autonomous Robot Groups Fault-Tolerant Management;planning to Score a Goal in Robotic Football with Heuristic Search;q-Learning of Spatial Actions for Hierarchical Planner of Cognitive Agents;modeling of Increased Rigidity of Industrial Manipulator;Accurate Autonomous UAV Landing Using Vision-Based Detection of ArUco-Marker;Spatial Resolution-Independent CNN-Based Person Detection in Agricultural Image Data;approach to Obstacle Localization for Robot Navigation in Agricultural Territories;fast Face Features Extraction Based on Deep Neural Networks for Mobile Robotic Platforms;an Estimation of Distributed algorithms of the Fault-Tolerant Management in the Robot Groups;Comparison of ROS-Based Monocular Visual SLAM Methods: DSO, LDSO, ORB-SLAM2 and DynaSLAM;Cooperative Guidance for Waypoint Following of Distributed Multi-UAV System;indoor vs. Outdoor Scene Classification for Mobile Robots;Mathematical Modelling of Control and Simultaneous Stabilization of 3-DOF Aerial Manipulation System.

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Bot detection using machine learning algorithms on social media platforms 5

Bot detection using machine learning algorithms on social me...

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5th IEEE international conference on Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2020

作者： Gannarapu, Sainath Dawoud, Ahmed Ali, Rasha S. Alwan, Ali Study Group Australia IT Department Sydney Australia AL Nisour University College Department of Computer Techniques Engineering Baghdad Iraq International Islamic University Malaysia Faculty of Information and Communication Technology Malaysia

ISBN: (纸本)9781728194370

Using bots in social media is a significant concern for information validity and authenticity. Currently, there are several solutions for bots detection. However, the accuracy of the detection still needs improvement. the main aim of this paper is to introduce an automatic mechanism for the detection and removal of bots that exist on social media platforms. the research has the purpose of removing the non-genuine accounts, their related information, and the data which are posted by them and to make these platforms free of misleading information. Bots detection and removal will increase the authenticity of the contents presented on different social media platforms. Also, It will improve the level of privacy and authenticity of these platforms and related users. the research uses the bot detection technique based on machine learning algorithms. the components of the study are data, feature selection, and bot detection. the research performs web development and hosting on the collected data with a machine-learning algorithm to perform bot detection in social media networks. the proposed system provides a more accurate and effective system for bot detection using machine learning. the research utilizes various approaches and mechanisms that lead to the enhanced efficiency of bot detection and removals. © 2020 IEEE.

关键词： Supervised learning

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Optimization of SMC-R Control based Rotor Current using Bird Swarm Algorithm for the Distorted DFIG-WPS

Optimization of SMC-R Control based Rotor Current using Bird...

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international conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)

作者： Omar Busati Alzain Xiangjie Liu Ayman Ali School of Control and Computer Eng. North China Electric Power Univ. Beijing China International Univ. of Africa Khartoum Sudan

this work offers developed control of the rotor outlet current relying on the online gains adaptation of Sliding Mode Control (SMC) with resonant function regulator using discrete adapted Bird Swarm Optimization (ABSA) for the Doubly Fed Induction Generator (DFIG) based wind power system (WPS) during distorted main voltage. the resonant function involved in SMCR-ABSA handle (5^th- and 7^th-grade) harmonics on the quantities system with different regulation targets without an extra account for the harmonics items succession. the simulated SMCR-ABSA dynamic reaction computational analysis evinces that the ABSA algorithm gave highly preferential results mitigating the harmonic ratio associated with quantities compared to the reported SMCR-BAT, SMC, PI+R and PI controllers. Furthermore, the ABSA algorithm improved the global solutions search and convergence within 1e-2 tolerance range during iterations compared to ordinary BAT algorithm.

关键词： Heuristic algorithms Power system dynamics Doubly fed induction generators Rotors Power system harmonics Wind power generation Harmonic analysis

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5th international conference on Computational Intelligence in Data Mining, ICCIDM 2018

5th International Conference on Computational Intelligence i...

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5th international conference on Computational Intelligence in Data Mining, ICCIDM 2018

ISBN: (纸本)9789811386756

the proceedings contain 66 papers. the special focus in this conference is on Computational Intelligence in Data Mining. the topics include: Prediction of Breast Cancer Recurrence: A Machine Learning Approach;rating Prediction of Tourist Destinations Based on Supervised Machine Learning algorithms;an Automatic Intent Modeling Algorithm for Interactive Data Exploration;prediction of Arteriovenous Nicking for Hypertensive Retinopathy Using Deep Learning;ANFIS-Based Modeling for Prediction of Surface Roughness in Powder Mixed Electric Discharge Machining;trendingtags—Classification & Prediction of Hashtag Popularity Using Twitter Features in Machine Learning Approach Proceedings;enhancement of Identification Accuracy by Handling Outlier Feature Values Within a Signature Case Base;a Comparison Study of Different Privacy Preserving Techniques in Collaborative Filtering Based Recommender System;artificial Intelligence Based Multi-object Inspection System;PSO Based Path Planning of a Six-Axis Industrial Robot;RRF-BD: Ranger Random Forest Algorithm for Big Data Classification;selection of Industrial Robot Using Fuzzy Logic Approach;efficient Analysis of Clinical Genomic Database;database Intrusion Detection Using Adaptive Resonance Network theory Model;medical Image Classification through Deep Learning;novel Wavelet Domain Based Adaptive thresholding Using Bat Algorithm for Image Compression;prototype Selection of Online Handwritten Telugu Characters Recognition Using Voronoi Tessellation;assessment of Cosmetic Product Awareness Among Female Students Using Data Mining Technique;evolutionary Games for Cloud, Fog and Edge Computing—A Comprehensive Study;ACRRFLN: Artificial Chemical Reaction of Recurrent functional Link Networks for Improved Stock Market Prediction;graph-Based Crime Reports Clustering Using Relations Extracted from Named Entities;survey on Plagiarism Detection Systems and their Comparison;ioT in Home Automation.

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A Solution of Distribution Network Reconfiguration with Wind Power Using Improved ACO Algorithm

A Solution of Distribution Network Reconfiguration with Wind...

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IEEE conference on Energy Internet and Energy System Integration (EI2)

作者： Sicheng Liu Libao Shi National Key Laboratory of Power Systems in Shenzhen Shenzhen International Graduate School Tsinghua University Shenzhen China

ISBN: (纸本)9781665434263

the issue of distribution network reconfiguration has always been the focus of attention from industry and academia. In particular, the integration of large number of distributed wind farms brings new problems and severe challenges to the network reconfiguration of active distribution network. the paper presents a solution pertinent to the optimal network reconfiguration of distribution network considering wind power integration. this optimization model is composed of three objectives: minimum power loss, minimum average value of voltage deviation, and minimum variance of voltage deviation, whilst satisfying a series of system constraints. Regarding the established multi-objective optimization model, a kind of super-efficiency data envelopment analysis (SEDEA) model is applied to convert the muti-objective optimization model into a single-objective optimization model, and the scenario-based analysis method is utilized to handle the uncertainty of distributed generation. In addition, the reactive power characteristics of wind turbines are also considered during solutions. Taking into account the complex nonlinear characteristics of the established optimization model, an improved ant colony optimization (ACO) algorithm is applied to find the optimal decision solution. Finally, the simulations are performed on the IEEE 33-bus system as an example to validate the effectiveness of the proposed model and method.

关键词： Analytical models Reactive power Uncertainty Distribution networks Voltage Wind power generation Approximation algorithms

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