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Leaf Detection: Techniques and applications

Leaf Detection: Techniques and Applications

引用

2023 international conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023

作者： Kumar, Rahul Pal, Arpit Singh, Tejendra Chauhan, Alok Singh School of Computing Science and Engineering Galgotias University Department of Computer Science and Engineering Greater Noida India School of Computing Science & Engineering Galgotias University Greater Noida India

ISBN: (纸本)9798350329186

Leaf detection is a critical task in various fields, including agriculture, ecology, and botany, with applications ranging from plant species identification to disease diagnosis. This research paper explores the techniques used for leaf detection, the applications where it is employed, and the challenges faced in this domain. Traditional image processing techniques, machine learning approaches, deep learning-based methods, and hybrid approaches are examined and compared. The applications of leaf detection include agriculture and crop monitoring, plant species identification, disease diagnosis and management, ecological studies, and remote sensing. The challenges in leaf detection arise from the variability in leaf shapes and textures, occlusion and complex backgrounds, realtime processing requirements, and robustness to environmental factors. Future directions and emerging trends in multi-modal leaf detection, domain adaptation, integration of remote sensing technologies, and advanced image analysis techniques are discussed. The findings of this research have implications for further research and practical applications, highlighting the need for more robust and accurate leaf detection techniques and the utilization of advanced technologies. The research contributes to a deeper understanding of plant ecosystems, optimization of agricultural practices, and improved management of natural resources. © 2023 ieee.

关键词： Remote sensing

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A Cloud-Edge-Terminal Collaborative System for image-Based Crowd Counting

A Cloud-Edge-Terminal Collaborative System for Image-Based C...

引用

2023 ieee international conference on Metaverse Computing, Networking and applications, MetaCom 2023

作者： Mo, Zijie Xia, Shuaifan Shen, Shuze Du, Siyuan Liu, Qingwen Tongji University Dept. of Computer Science and Technology Shanghai China

ISBN: (纸本)9798350333336

Crowd counting is of great importance for urban management and disaster relief. However, monitoring the whole situation of crowd density in a wide area such as a city will involve processing a great number of images or videos, which requires intensive computation. Transmission of images and videos also requires large bandwidth of network, which might not be satisfied under some circumstances. This work proposed a cloud-edge-terminal collaborative system to shift the computing load to edge devices and enlarge the monitor range via visual sensors installed on portable devices like unmanned aerial vehicles (UAVs). Also, we proposed a light-weight crowd counting neural network to satisfy the resource constraint scenarios. Experiments on realistic and challenging datasets and comparisons with contemporary approaches show that our method achieves competitive performance with less computation and storage costs. © 2023 ieee.

关键词： Edge computing

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Approximate Compressor for Efficient Multiplication in image processing applications

Approximate Compressor for Efficient Multiplication in Image...

引用

2023 ieee international conference on Next Generation Electronics, NEleX 2023

作者： Akshay, K.P. Jagadeeshkumar, N. Barusu, Madhusudhana Reddy Meganathan, D. Madras Institute of Technology Department of Electronics Engineering Chennai India Ravindra College of Engineering for Women Electronics and Communication Engineering Andhra Pradesh India

ISBN: (纸本)9798350319088

Approximate computing is a promising candidate for minimizing the energy consumption of various image processing Algorithms, which also have error tolerable characteristics. The image processing algorithm intensively consists of matrix multiplications where the approximate multiplier (positive compressor, Negative compressor) replaces the exact multipliers for energy reduction. This paper discusses the design and analysis of the two approximate multiplier by using the two approximate 4-2 compressors with reduced delay, area, power, and comparable accuracy with the existing multipliers. The NC based 8×8 multiplier (NM) consumes 30.17% and 3.85% less power than exact 8×8 and PC 8×8 multiplier (PM) respectively. Similarly the LUT utilization of NC based 8×8 multiplier is 5.4% lesser than exact 8×8 and 2.7% less than the PC based 8×8 multiplier. The proposed approximated multiplier is used in the Sobel edge detection algorithm by replacing complex normal multiplier operations. The core part of the edge detection algorithm with approximate multiplier is implemented using the Verilog HDL program and the MATLAB is used to give the input image to the Verilog code based approximate multiplier and then the edge detected output is again fed to MATLAB and finally the edge detected output is displayed using MATLAB too. © 2023 ieee.

关键词： MATLAB

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SPATIAL processing FRONT-END FOR DISTANT ASR EXPLOITING SELF-ATTENTION CHANNEL COMBINATOR 47

SPATIAL PROCESSING FRONT-END FOR DISTANT ASR EXPLOITING SELF...

引用

47th ieee international conference on Acoustics, Speech and signal processing (ICASSP)

作者： Sharma, Dushyant Gong, Rong Fosburgh, James Kruchinin, Stanislav Yu Naylor, Patrick A. Milanovic, Ljubomir Nuance Commun Inc Res & Dev Burlington MA 01803 USA Nuance Commun GmbH Res & Dev Vienna Austria Imperial Coll London Elect & Elect Engn London England

ISBN: (纸本)9781665405409

We present a novel multi-channel front-end based on channel shortening with the Weighted Prediction Error (WPE) method followed by a fixed MVDR beamformer used in combination with a recently proposed self-attention-based channel combination (SACC) scheme, for tackling the distant ASR problem. We show that the proposed system used as part of a ContextNet based end-to-end (E2E) ASR system outperforms leading ASR systems as demonstrated by a 21.6% reduction in relative WER on a multi-channel LibriSpeech playback dataset. We also show how dereverberation prior to beamforming is beneficial and compare the WPE method with a modified neural channel shortening approach. An analysis of the non-intrusive estimate of the signal C50 confirms that the 8 channel WPE method provides significant dereverberation of the signals (13.6 dB improvement). We also show how the weights of the SACC system allow the extraction of accurate spatial information which can be beneficial for other speech processing applications like diarization.

关键词： Speech Recognition Spatial processing

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Efficient Design and Implementation of Conditional Full Adder-Based Truncation Multipliers for High-Performance applications 2

Efficient Design and Implementation of Conditional Full Adde...

引用

2nd ieee international conference on Emerging Research in Computational Science, ICERCS 2024

作者： Kumar, C. Sritha, P. Elango, S. Poongodi, C. Karpagam College of Engineering Department of EEE Coimbatore641032 India Bannari Amman Institute of Technology Department of EEE Sathyamangalam638401 India Bannari Amman Institute of Technology Department of ECE Sathyamangalam638401 India

ISBN: (纸本)9798331534950

This paper presents a novel approach to designing high-performance, low-power truncation multipliers by utilizing a conditional Full Adder (FA) circuit. The proposed design simplifies traditional FA structures using a combination of multiplexers and XOR gates to reduce power consumption, area, and delay without compromising computational accuracy. The proposed FA design was integrated into truncation multipliers and evaluated against existing designs, including conventional, almost, and approximate Full Adders. Comparative analysis reveals that the proposed design achieves a 23.8% reduction in area, a 16.7% improvement in delay, and a 30% reduction in the power-delay product (PDP) compared to conventional designs. These enhancements are demonstrated through FPGA and ASIC implementations, achieving superior performance for 16-bit and 32-bit multipliers in terms of LUT utilization, power efficiency, and speed. The proposed architecture is particularly suited for applications in signal processing and embedded systems, where energy efficiency and high-speed computation are critic. © 2024 ieee.

关键词： Multiplying circuits

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A Survey on applications and Performance of Deep Convolution Neural Network Architecture for image Segmentation 4

A Survey on Applications and Performance of Deep Convolution...

引用

4th ieee international conference on Emerging Techniques in Computational Intelligence, ICETCI 2024

作者： Bhargavi, K. Krishna, Ch.V.Phani IFHE-ICFAI Cse Dept Shankarpally Hyderabad India Teegala Krishna Reddy Engineering College Cse Dept Hyderabad India

ISBN: (纸本)9798350387063

image segmentation constitutes a critical component within the realm of medical image processing and analysis, bearing profound implications on treatment efficacy and patient survival rates. This technique serves as a foundational preprocessing step, facilitating the partitioning of images into meaningful structures or components pivotal for object representation, detection, recognition, measurement, and visualization. Given its paramount significance, a plethora of research endeavors have been dedicated to this domain, yielding a myriad of segmentation approaches predicated on intensity, color, texture, and other modalities. Numerous computational paradigms encompassing supervised, unsupervised, parametric, and probabilistic region-based techniques have emerged in pursuit of refining segmentation accuracy and efficiency. Of late, the landscape has witnessed a surge in leveraging machine learning methodologies, particularly deep learning utilizing convolutional neural networks (CNNs), to develop robust and automated image segmentation models. This paper eschews conventional segmentation strategies, instead focusing squarely on scrutinizing deep neural convolution networks and their variants for automated image segmentation. By delving into the state-of-the-art algorithms proposed between 2015 and 2017, we meticulously assess their efficacy, performance, advantages, and limitations vis-à-vis prevailing research challenges and objectives. Through this critical evaluation, we discern nuanced insights into the current state of affairs, identifying gaps, limitations, and potential avenues for advancement. By juxtaposing contemporary methodologies against the backdrop of evolving research paradigms, we offer a comprehensive delineation of the landscape's trajectory, thereby elucidating the future scope and imperatives for further advancement. © 2024 ieee.

关键词： Convolutional neural networks

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Underwater image processing with Normalized AttUNet

Underwater Image Processing with Normalized AttUNet

引用

2023 international conference on Computer, Electronics and Electrical Engineering and their applications, IC2E3 2023

作者： Soorma, Mandeep Singh Chaudhary, Anushka Sonali, Sonali Pal, Sarthak Upadhyay, Dharmendra Kumar Netaji Subhas University of Technology Electronics and Communication Engineering New Delhi Delhi India

ISBN: (纸本)9798350338003

The goal is enhancement of images with different water types and to achieve visual quality improvement of the underwater images. Poor visibility in underwater images is a result of color casts, low contrast, and particle dispersion, all of which are caused by wavelength-dependent and distance-dependent attenuation. To address these degradation issues and to learn water type desensitized features, normalization is applied along both spatial and channel dimensions. In the spatial dimension, instance whitening is applied, to decorrelate activations. Moreover, channel-wise normalization is used to manipulate the first two moments of the channel activations. Then, attention is used to provide weights to certain features based on their importance. We proposed a lightweight model named Normalised AttUNet to provide fast processing time for diverse water type images, while still maintaining comparable PSNR. © 2023 ieee.

关键词： image enhancement

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A New Deception Jamming signal Detection Technique Based on YOLOv7 23

A New Deception Jamming Signal Detection Technique Based on ...

引用

23rd ieee international conference on Communication Technology, ICCT 2023

作者： Zhu, Xuan Wu, Hao He, Fangmin Meng, Jin School of Electrical Engineering and Automation Wuhan University Wuhan China Institute of Military Electrical Science and Technology Naval University of Engineering Wuhan China

ISBN: (纸本)9798350325959

In order to improve the jamming recognition and anti-jamming capability of cognitive intelligent radar in modern warfare, this paper proposes a radar deception jamming signal detection method based on YOLOv7. Firstly, four typical jamming signals including distance deception jamming (DDJ), dense false target jamming (DFTJ), interrupted sampling and repeating jamming (ISRJ), smart noise jamming (SNJ) and linear frequency modulation (LFM) signal commonly used in radar are obtained by digital signal processing simulation. Then, the LFM and four jamming signals are transformed into time-frequency spectrum by short-time Fourier transform (STFT) to construct the radar jamming signal image dataset. Finally, the YOLOv7 object detection algorithm is used to detect the jamming signals. The experimental results show that the detection accuracy (mAP) of the proposed method is 99.63%, which can accurately detect the radar deception jamming signal. © 2023 ieee.

关键词： Cognitive intelligent radar jamming signal detection short-time Fourier transform (STFT) YOLOv7

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Highly Accurate Approximate Ternary Multipliers for Error Resilient applications 11

Highly Accurate Approximate Ternary Multipliers for Error Re...

引用

11th international conference on Intelligent Systems and Embedded Design, ISED 2023

作者： Burri, Shalini Kudulla, Gowtham Sri Harsha Jogi, Pavan Kumar Vysyaraju, Anantha Sai Satwik Kumar, Uppugunduru Anil Ahmed, Syed Ershad Veeramachaneni, Sreehari Gokaraju Rangaraju Institute of Engineering & Technology Electronics and Communication Engineering Hyderabad India Bits Pilani Electrical and Electronics Engineering Hyderabad India Hyderabad India

ISBN: (纸本)9798350318159

Approximate computing is a technique to obtain notable improvement in power and power-delay product parameters where accurate computation is not necessary. This paper presents a simple and energy-efficient approximate 1-blt ternary multiplier and approximate ternary half adder, which are used to implement 6×6 approximate ternary multipliers. The 6×6 ternary multipliers are implemented by introducing errors in generation or reduction stages. The proposed approximate ternary 6×6 multipliers show good accuracy-power trade-off compared to existing designs;it exhibits an improvement up to 99.6% in terms of NMED∗Power parameter compared to existing approximate multiplier designs. Further proposed ternary multipliers are evaluated using image processing applications. © 2023 ieee.

关键词： image processing

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ieee 802.1AS clock synchronization algorithm based on Kalman filtering 3

IEEE 802.1AS clock synchronization algorithm based on Kalman...

引用

3rd ieee international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Lu, Fangpeng Liu, Panwang Liu, Songyan Heilongjiang University Harbin China

ISBN: (纸本)9798350398410

Clock synchronization accuracy refers to the accuracy of clock synchronization achieved through various clock synchronization protocols and techniques. In practical applications, the clock deviation problem is inevitable. For ieee802.1AS clock synchronization process of the common clock deviation problem, a Kalman filter-based clock synchronization optimization algorithm is proposed. First, according to the signal transmission recurrence relationship between master and slave clocks to establish the clock model;then based on the master clock and slave clock one-way message transmission to establish the observation model, while the existence of deviation of the clock signal processing;finally based on the optimized Kalman filter algorithm for clock deviation problem optimization. Experimental results show that the algorithm can to a certain extent eliminate the impact of the instability of the slave clock on the clock synchronization, so as to achieve high precision synchronization of the clock. Compared with the traditional ieeeE1588 protocol synchronization method, the method proposed in this paper has higher accuracy, lower latency, better stability and wider application range. © 2023 ieee.

关键词： Synchronization

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