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Robust and Imperceptible Region Based Watermarking on Medical Images 2nd

Robust and Imperceptible Region Based Watermarking on Medica...

引用

2nd international conference on Data Science, Machine Learning and Applications, ICDSMLA 2020

作者： Swaraja, K. Meenakshi, K. Kora, Padmavathi Karuna, G. Electronics and Communications Engineering GRIET Hyderabad India Computer Science and Engineering GRIET Hyderabad India

ISBN: (纸本)9789811636899

Telemedicine is the remote delivery of health care services to evaluate, diagnose and treat patients using common technology, such as video conferencing and smart phones, without the need for an in-person visit. There is likelihood in altering the medical images purposely or unintentionally while transmitting over covert channel. The Physician confirms the diagnosis region obtained from the medical image as region of interest (ROI), prior to interpreting any report on evaluation. Watermarking scheme for medical images exploring DCT domain is conferred in this proposal. Fuzzy c algorithm is utilized in segmenting the assessment region (ROI) and non-interest region (RONI), further the watermark is inserted through modulation scheme termed as M-ary. The scheme efficacy is determined for MRI medical images through simulation by computation of quality metrics such as PSNR and NCC. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Diagnosis

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Research on Physically-based computer Animation

Research on Physically-based Computer Animation

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Information Technology and computer Application (ITCA), international conference on

作者： Yanhao Cao Yingfeng Zhao Yulu Hu Bin Lin National Key Laboratory of Science and Technology on Vacuum Electronics Academy of Computer Simulation Technology University of Electronic Science and Technology of China Chengdu China

In order to estimate the physical characteristics of the mechanical system and shorten the development cycle, this paper studies the principles and related technologies of the generation of physically-based animations, and combines the Bullet physics engine to simulate the dynamics of rigid bodies, and produce physically-based animations. The basic principle of physics animation is based on dynamic equations. The numerical solution technology is used to solve the dynamic equations. The actual motion of the rigid body will not penetrate, and collision detection is required. The Bullet physics engine is used to calculate the motion process of a rigid body, and OpenGL is used for rendering, and the two are combined to realize the simulation process.

关键词： Solid modeling Computational modeling Heuristic algorithms Dynamics Animation Mathematical model Synchronization

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Information Technology and computer Application (ITCA), international conference on

作者： Tao Yu Fengqin He Hohhot Vocational College Hohhot China

Support vector machine (SVM) has excellent learning performance, has become a popular research method in the field of machine learning, and has been successfully applied in many fields. In recent years, more and more modeling methods have been put forward by relevant scholars to solve problems such as classification identification, risk prediction, and effectiveness evaluation. This article briefly introduces the support vector machine (SVM), and expounds the algorithm of support vector machine in graph database similarity search and computer application for readers' reference.

关键词： Support vector machines Machine learning algorithms Databases Image retrieval Neural networks computer applications Predictive models

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Fuzzy Adaptive Tuning PI Control Based MPPT Method for Variable Speed Wind Turbine System 1

引用

2nd international conference on Information Control, Electrical Engineering and Rail Transit, ICEERT 2022

作者： Li, S.S. Li, Y.G. He, J. Chen, Q.Y. Department of Computer Science Qinghai University Qinghai Xining China Qinghai Telecom Qinghai Xining China

ISBN: (数字)9789819964314

ISBN: (纸本)9789819964307

The wind turbine system is in a harsh natural environment, and the output power is not optimal due to the rapid change of wind speed. Therefore, it is of great significance for the development and utilization of wind energy to study the maximum power tracking control algorithm of wind turbine and improve the generation efficiency of wind turbine. This paper presents a fuzzy adaptive tuning PI control (FATPI) algorithm to achieve the maximum power output of wind turbine. The maximum power output can be achieved by tracking the optimal speed of the wind turbine and adjusting the torque of the squirrel cage induction generator (SCIG). In order to verify the effectiveness of the algorithm in MATLAB/Simulink simulation, compared with traditional PI control and FATPI control, the results show that FATPI algorithm has better robustness and adaptability in maximum power point tracking (MPPT) of wind turbine. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wind turbines

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2nd international conference on Clean Energy Materials and Technology, ICCEMT 2019

2nd International Conference on Clean Energy Materials and T...

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2nd international conference on Clean Energy Materials and Technology, ICCEMT 2019

ISBN: (纸本)9783035716405

The proceedings contain 21 papers. The special focus in this conference is on Clean Energy Materials and Technology. The topics include: Study on application performance of instrument valve body formed by selective laser melting for nuclear power plant;the development of alumina forming austenitic alloy for core application in advanced nuclear reactors;dynamic compression performance of reaction sintering sic/b4c composite;preparation of functionalized graphene multilayer composite films supported pt catalyst and its electro-oxidation for methanol;deposition of sio2/sic coating on carbon fiber to enhance the oxidation resistance;first-principles study on electronic structure, elasticity, debye temperature and anisotropy of cubic kcaf3;rul prediction of lithium ion battery based on arima time series algorithm;computer simulation of horizontal vpe grown aln;electronic properties of thermoelectric pbse2 compound by density functional theory method;preparation and properties of nano coir cellulose whiskers enhanced cs/pva composite film;investigation on the synergistic effect of surfactants for silylation of montmorillonite;effects of direct coal liquefaction residue additions on low-rank pulverized coal during co-pyrolysis;metal sulfide assisted coal catalytic hydrogenated microwave pyrolysis;in situ synthesis of vo2 embedded in graphite/si as a high performance anode for lithium-ion batteries;studies of iron-doped carbon material from carbonization of soy protein/polyaniline composite and its electrical capacitance;ni-mno2 synthesized by one-step liquid phase coprecipitation as promising electrode materials for supercapacitor;research about the hydrogen removal verification method through porous medium of silver zeolite in nuclear power station;effects of neutron, ion and proton irradiation on nano-indentation hardness of rpv steels.

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Application of text clustering in automatic scoring of College English composition

Application of text clustering in automatic scoring of Colle...

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Information Technology and computer Application (ITCA), international conference on

作者： Juanjuan Wang Jiangxi Open University Nanchang China

Writing is an important way to measure the examinees' language knowledge and word organization ability in large-scale language examination. However, the method based on manual scoring has the disadvantages of consuming huge manpower, material and financial resources, strong subjectivity and large error in scoring. In this paper, through the algorithm modeling, clear clustering steps, feature vector extraction, clustering calculation, empirical analysis and other steps, the analysis shows that in the case of College Students' English composition is not completely off topic, text clustering algorithm can well identify the degree of composition in line with the meaning of the topic, and through the establishment of threshold value, teachers can set the judgment authority of the algorithm, which can solve the problem of manual work to improve the accuracy of College English automatic scoring.

关键词： Analytical models Clustering algorithms Manuals Organizations computer applications Writing Feature extraction

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The Application of Fuzzy Neural Network Based on Network of Ships in Heterogeneous Network

The Application of Fuzzy Neural Network Based on Network of ...

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international conference on Artificial Intelligence and Advanced Manufacturing (AIAM)

作者： Jing Li Yunxiang Liu School of Computer Science and Information Engineering Shanghai Institute of Technology Shanghai China

With the rise of network of ships, the vertical switching technology of heterogeneous networks is studied in view of the coexistence of various heterogeneous networks, and a vertical switching algorithm based on fuzzy neural network is proposed. The fuzzy neural network processing is carried out by comprehensively considering the signal strength, moving speed, available bandwidth and other factors. The simulation results show that this algorithm can better guarantee the QoS of user's service quality on the basis of reducing ping-pong effect, and verify that this algorithm can effectively improve the accuracy of prediction signal and is suitable for shipboard terminal.

关键词： simulation Neural networks Switches Bandwidth Quality of service Prediction algorithms Fuzzy neural networks

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Design of big data technology prototype for classification of village status based on village development index involves k-means algorithm to support village ministry Pdtt work programs 2

Design of big data technology prototype for classification o...

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2nd international conference on Sciences and Technology Applications, ICOSTA 2020

作者： Hasugian, Paska Marto Hutahaean, Harvei Desmon Sinaga, Bosker Sriadhi Silaban, Saronom Informatics Engineering Study Program STMIK Pelita Nusantara Medan Indonesia Computer Science and Informatics Education Study Program Faculty of Engineering Universitas Negeri Medan Medan20221 Indonesia Departement of Chemistry Universitas Negeri Medan Medan20221 Indonesia

Big data technology is the overall technology that can handle the processing associated with analyzing the data to explore the potential that is in it. Some of the uses of big data are based on the biggest data traffic sources, such as social media, financial transactions, public data, censorship data, and company data. The problem found in the accumulation of village status data that has not been utilized in the decision-making process to determine the status of the next village and the absence of an application to process the data stored in the data database so that a tool is developed to analyze the buildup. The results of this study are to produce a prototype design that is Unified modeling Language (UML) design, Form Design, and Database Design that will be used to develop Big Data Technology in determining the classification of village status based on the Village Build index. © Published under licence by IOP Publishing Ltd.

关键词： Decision making

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Interference minimized slot scheduling for coexisting WBANs: delay and priority-based approach 2nd

Interference minimized slot scheduling for coexisting WBANs:...

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2nd international conference on Optical and Wireless Technologies, OWT 2018

作者： Pradhan, Prajna Paramita Bhattacharjee, Sanghita Department of Computer Science and Engineering National Institute of Technology Durgapur Durgapur India

ISBN: (纸本)9789811361586

Nowadays wearable body sensors are widely used for monitoring the physiological signs of the human body. A Wireless Body Area Network (WBAN) usually consists of a single coordinator and multiple computational constraint body sensors. In WBANs, mitigation of interference is an important issue to improve the network throughput. Interference occurs when multiple WBANs come within the proximity of each other, and every one wants to send their data at the same time. In this paper, we mainly focus on interference minimization for coexisting WBANs. The main objective is to schedule all nodes in the network in an interference free manner so that the spatial reuse factor is improved. We use both Protocol and Physical interference model to capture the interference at a WBAN. Moreover, a Delay-Aware Priority-based Scheduling algorithm (abbreviate shortly as DAP) is proposed where the priority of nodes and interfering nodes are taken into account to schedule the body sensors. simulations are performed in different network scenarios and compared with ID, degree and ITLS based scheduling. The simulation results show that the priority based scheduling has better performance than ID, degree, and ITLS-based scheduling algorithm. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Scheduling algorithms

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Energy-Efficient Multi-UAV-Enabled Computation Offloading for Industrial Internet of Things via Deep Reinforcement Learning 2nd

Energy-Efficient Multi-UAV-Enabled Computation Offloading fo...

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2nd EAI international conference on Artificial Intelligence for Communications and Networks, AICON 2020

作者： Shi, Shuo Wang, Meng Gu, Xuemai School of Electronic and Information Engineering Harbin Institute of Technology Harbin Heilongjiang150001 China Network Communication Research Centre Peng Cheng Laboratory Shenzhen Guangdong518052 China International Innovation Institute of HIT in Huizhou Huizhou Guangdong516000 China

ISBN: (纸本)9783030690656

Industrial Internet of things (IIoT) has been envisioned as a key technology for Industry 4.0. However, the battery capcity and processing ability of IIoT devices are limited which imposes great challenges when handling tasks with high quality of service (QoS) requirements. Toward this end, in this paper we first use multiple unmanned aerial vehicles (UAVs) equipped with computation resources to offer computation offloading opportunities for IIoT devices due to their high flexibility. Then we formulate the multi-UAV-enabled computation offloading problem as a mixed integer non-linear programming (MINLP) problem and prove its NP-hardness. Furthermore, to obtain the energy-efficient solutions for IIoT devices, we propose an intelligent algorithm called multi-agent deep Q-learning with stochastic prioritized replay (MDSPR). simulation results show that the proposed MDSPR converges fast and outperforms the normal deep Q-learning (DQN) method and other benchmark algorithms in terms of energy-efficiency and tasks’ successful rate. © 2021, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Reinforcement learning

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