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Wave Simulation of SAR signal for Two-Dimensions Sea Surface

Wave Simulation of SAR Signal for Two-Dimensions Sea Surface

引用

IEEE Circuits and systems international conference on Testing and Diagnosis, ICTD

作者： Ding Guo Xingfa Gu Tao Yu Xiaoyin Li Hui Xu Hongtao Ma University of Electronic Science and Technology Chengdu China State key Laboratory of Remote Sensing Science Institute of Remote Sensing Applications Chinese Academy and Sciences Beijing China

The paper describes a synthetic aperture radar (SAR) image simulation for ocean surface. It's In order to study the SAR image of the ocean wave and the wave modulation of the RCS (radar cross section). The simulation is based on the velocity bunching (VB) theory and is developed in the Matlab programming language. The software has been conceived and implemented modularly and its use can also assist microwave remote sensing courses. The way is an available method of studying the sea surface wave image by SAR.

关键词： Surface waves Sea surface Ocean waves Synthetic aperture radar Remote sensing Backscatter Space technology Radar cross section Mathematical model signal generators

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Research on Urban Photoelectric Sensing Environment Sensor based on Big Data technology of Computer internet of Things

Research on Urban Photoelectric Sensing Environment Sensor B...

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image Processing and Computer Applications (ICIPCA), IEEE international conference on

作者： Chuantao Ma Jing Lu School of Physics and Electronic Engineering Taishan University Tai'an China

This paper designs and implements the perception layer, network layer and application layer in the framework of environmental monitoring system. To minimize the bit error rate of free space optical communication (FSO) system under the limitation of multi-mode Gaussian background optical noise field and the energy efficiency of the received optical signal, an adaptive photoelectric array signal processing algorithm for intensity modulation/direct detection (IM/DD) is proposed. Design and implement sensor data acquisition circuit, main control processor and peripheral circuit, system communication interface circuit in environmental monitoring system hardware. The data storage part mainly realizes the storage and processing of data, which involves cloud platform technology. The server platform realizes the final webpage display and large screen display, and the key technologies are communication technology. The analysis and simulation results show that the system can greatly reduce the computational complexity while the performance loss is almost negligible.

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Day color transfer based night video enhancement for surveillance system

Day color transfer based night video enhancement for surveil...

引用

IEEE international conference on signal Processing, Informatics, Communication and Energy systems (SPICES)

作者： T Soumya Sabu M Thampi LBS Centre for Science and Technology Trivandrum India Department of Computer Science and Engineering College of Engineering Trivandrum India Indian Institute of Information Technology and Management-Kerala (IIITM-K) India

A dark video captured during night surveillance is insufficient to recognize an action. In order to perform various video analysis operations, a night time video enhancement approach is required. A daytime coloring approach is proposed to improve the visual perception of night video. The day image is down sampled and its color features are applied to the night fusion video. The experimental results are compared with context enhancement fusion methods and objective metrics are used to evaluate the performance of the algorithm. The quality measures show that edge pixel strength and contrast of the surveillance videos are enhanced compared to other methods.

关键词： image color analysis Lighting Surveillance Histograms Mathematical model Visualization Streaming media

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A PDA-based Human-Robot Interaction using EMG-based Modified Morse code

A PDA-based Human-Robot Interaction using EMG-based Modified...

引用

international conference on Computational Intelligence for Modelling, Control and Automation, and international conference on Intelligent Agents, Web Technologies and internet Commerce

作者： P. Nilas King Mongkut''s Institute of Technology Bangkok Thailand

The paper presents an innovative human-robot communication paradigm for people with disability using electromyography (EMG) signals via a personal digital assistant (PDA). The paper proposes a novel human-robot interaction architecture where the disabled people could interact with the robot using an EMG-based Morse code-inspired communication from portable devices. The user employs EMG signals to issue high-level commands to the robot that decomposes these commands into low-level primitive subtasks. Then, the robot dynamically constructs an action selection network to form the operational plan. The architecture is developed on a PDA that offers small and lightweight mobile interaction devices. Utilizing the PDA with EMG-based modified Morse code could provide flexibility, mobility, and durability for handicapped people to control the robot-aid system. The proposed paradigm has been implemented to develop a prototypical system, and the experiments also illustrate the conventionality, and the robustness of such a human-robot framework

关键词： Electromyography Personal digital assistants Robot control signal generators Robotics and automation Rehabilitation robotics Muscles Control systems Senior citizens Biomedical signal processing

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An optimized region-based color transfer method for night vision application

An optimized region-based color transfer method for night vi...

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international conference on signal and image Processing (ICSIP)

作者： Tanish Zaveri Mukesh Zaveri Ishit Makwana Harshit Mehta Department of Electronics and Communication Engineering Nirma University Ahmedabad Gujarat India Department of Computer Engineering Sardar Vallabhbhai National Institute of Technology Surat Gujarat India

Modern night-vision systems like image intensifiers and thermal cameras enable operations at night and in adverse weather conditions. Modern night vision camera provides false-colored fused image as an output which is unnatural in appearance and it is therefore hard to interpret. In this paper, a region-based natural color mapping method for night vision imagery is presented. The proposed method colorizes the night vision imagery by using a combined framework consisting of hill-climbing algorithm for color-based segmentation, non-linear diffusion, region recognition and fuzzy based image fusion techniques. The proposed method is an optimized region-based approach and allows selective color transfer from the natural target color image. The simulation results show that the color fused image obtained by proposed method resembles the natural color appearance and will help the observer by making it more recognizable appearance for better scene interpretation.

关键词： image color analysis image segmentation Night vision Gray-scale Color Histograms Pixel

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Temperature Sensor Integration into the Node-RED Platform for Transformer Monitoring 4

Temperature Sensor Integration into the Node-RED Platform fo...

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4th Engineering Physics international conference 2023, EPIC 2023

作者： Nugraha, H. Hermawan, A.D. Mulya, M.A.J. Firmansyah, I. Suryadi Research Center for Energy Conversion and Conservation BRIN KST BJ Habibie Serpong Banten Tangerang Selatan Indonesia Research Center for Electronics BRIN KST BJ Habibie Serpong Banten Tangerang Selatan Indonesia Research Center for Telecommunication BRIN KST Samaun Samadikun Jawa Barat Bandung Indonesia Research Center for Photonics BRIN KST BJ Habibie Serpong Banten Tangerang Selatan Indonesia

Transformers must be continuously monitored to guarantee dependable and effective performance. The combination of internet of Things (IoT) technology and sophisticated data processing systems opens up new possibilities for improved transformer monitoring in this context. To enable real-time monitoring of transformer conditions, this study focuses on the integration of IoT temperature sensors into the Node-RED platform. The suggested method gathers temperature information from several locations inside the scale laboratory transformer using IoT temperature sensors. The Node-RED platform receives the collected data and processes, analyzes, and visualizes it in real time. Comprehensive monitoring is made possible by the platform, allowing operators to quickly identify any unusual temperature swings or potential problems inside the transformer. For older transformers built with normal Kraft paper, the rated hot spot temperature is either 90°C according to IEEE or 97°C according to IEC. The Node-RED platform's incorporation of IoT devices not only provides real-time monitoring capabilities but also offers the flexibility to implement predictive maintenance strategies. By harnessing the power of data analytics and visualization, operators can make informed decisions to optimize transformer performance, extend its lifespan, and minimize downtime. The results of this study demonstrate the effectiveness of the IoT temperature sensor integration into the Node-RED platform for laboratory transformer monitoring. based on the measurement winding temperature at the transformer has reached 90 °C at full load, and then the system starts to activate the blower to cool the transformer. The approach contributes to the advancement of transformer management practices, ensuring the reliability and efficiency of critical energy infrastructure. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： internet of things

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Brain tumor detection and classification in MRI images using image and data mining

Brain tumor detection and classification in MRI images using...

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international conference on Recent Innovations in signal processing and Embedded systems (RISE)

作者： Saumya Chauhan Aayushi More Ritumbhra Uikey Pooja Malviya Asmita Moghe Department of Information Technology UIT RGPV BHOPAL India Department of IT UIT RGPV BHOPAL India

ISBN: (纸本)9781509047611;9781509047604

Brain tumor is a perilous disease which causes brain damage. So, detection and classification of brain tumor in early stage is necessary. In the proposed work MRI brain images are pre-processed by median filtering. To segregate lesion from image, color based segmentation and edge detection is performed. Multiple feature extraction schemes, namely histogram of oriented gradients and gray level co-occurrence matrix are used to represent the images. All the extracted features are stored in a transactional database to which IBkLG classifier (Instance based K-Nearest using Log and Gaussian weight Kernels) has been applied using WEKA 3.9 tool, to classify the tumor into normal benign or malignant. The classification accuracy is observed found to be 86.6%.

关键词： Feature extraction Tumors image segmentation image color analysis image edge detection Data mining Clustering algorithms

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Space curve recognition based on the wavelet transform and string-matching techniques

Space curve recognition based on the wavelet transform and s...

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IEEE international conference on image Processing

作者： Quang Minh Tieng W.W. Boles M. Deriche Signal Processing Research Centre Queensland University of Technology Brisbane QLD Australia

A technique for representing and recognising 3-D or space curves is presented. In the proposed algorithm, the space curves are represented by a set of two zero-crossing representations which are constructed based on the dyadic wavelet transform. These representations are then described in the form of an ordered set of complex numbers which is referred to as the compact representation of the space curves. A string-matching technique is adapted for comparing two curves using their compact representations. Experimental results show that the proposed technique can be used for recognising space curves under similarity transformation with and without additive noise.

关键词： Wavelet transforms Space technology signal processing algorithms Object recognition Australia Additive noise Robot vision systems image recognition Robustness Biological cells

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A unification of linear, median, order-statistics and morphological filters under mathematical morphology

A unification of linear, median, order-statistics and morpho...

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international conference on Acoustics, Speech, and signal Processing (ICASSP)

作者： P. Maragos R. Schafer School of Electrical Engineering Georgia Institute of Technology Atlanta GA USA

This paper presents a summary of a unified theory, based upon mathematical morphology, of all translation-invariant and increasing systems. Examples of such systems are morphological transformations of signals, order-statistics filters and some linear shift-invariant filters. Our theoretical research showed that every such system can be uniquely represented by the minimal elements of its kernel and realized as a minimal combination of morphological erosions.

关键词： Nonlinear filters Morphology Kernel signal processing Filtering theory Paper technology image analysis Contracts Circuit topology Convergence

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A compressive sensing-based data processing method for massive IoT environments

A compressive sensing-based data processing method for massi...

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international conference on Information and Communication technology Convergence (ICTC)

作者： Hyungkeuk Lee NamKyung Lee Institute of Nuclear Medicine and Allied Sciences Defense Research and Development Organisation New Delhi India

ISBN: (纸本)9781509013265

Compressive Sensing (CS) is a stable and robust technique that allows for the sub-sampling of data at a given data rate: `compressive sampling' or `compressive sensing' at rates smaller than the Nyquist sampling rate. It makes it possible to create standalone and net-centric applications with fewer resources required in internet of Things (IoT). CS-based signal and information acquisition/compression paradigm combines the nonlinear reconstruction algorithm and random sampling on a sparse basis that provides a promising approach to compress signal and data in information systems. In this paper, we investigates how CS can provide new insights into coexisting heterogeneous IoT environments. First, we briefly introduce the CS theory with respect to the sampling through providing a compressed sampling process with low computation costs. Then, a CS-based framework is proposed for IoT, in which the hub nodes measure, transmit, and store the sampled data into the fusion center. Then, an efficient cluster-sparse reconstruction algorithm is proposed for in-network compression aiming at more accurate data reconstruction and lower energy efficiency. Therefore, compression should be performed locally at each Access Point (AP) and reconstruction is executed jointly to consider dependencies in the acquired data by the final fusion center.

关键词： signal reconstruction compressed sensing internet of Things signal detection

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