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Leveraging Neural Networks to Enhance Large-Scale data processing Performance 3

Leveraging Neural Networks to Enhance Large-Scale Data Proce...

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3rd international conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Pandey, Megha Vinay Kumar, S.B. Khurana, Jatin Kalpana, B. Pathak, Kishor R. Kumar, Mukesh Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India 1 Electronics and Communication Engineering Faculty of Engineering and Technology Karnataka Bangalore India Chitkara University Institute of Engineering and Technology Chitkara University Centre of Interdisciplinary Research in Business and Technology Punjab India Prince Shri Venkateshwara Padmavathy Engineering College Department of Science and Humanities Chennai127 India Vishwakarma Institute of Information Technology Department of Information Technology Pune India Vivekananda Global University Department of Mechanical Engineering Jaipur India

ISBN: (纸本)9798350319125

Recent advances in neural networks have enabled them to become powerful tools in data processing for tasks such as pattern recognition and classification. This has enabled neural networks to be applied to large-scale data processing problems, where they have been shown to perform very well. However, due to the large amount of data involved in such tasks, it is essential that the processing performance is also improved. This paper presents several methods to leverage available resources such as distributed computing and improved algorithmic techniques to improve the performance of large-scale data processing tasks using neural networks. Examples of such techniques are given for both supervised and unsupervised learning tasks, which can significantly enhance the performance of large-scale data processing applications. The results of several experiments are presented, demonstrating the effectiveness of the proposed techniques. The authors also provide insights for future work that could further enhance the capabilities of neural networks when applied to large-scale data processing applications. © 2023 IEEE.

关键词： Applications data Networks presented processing

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A new traffic signal detection system with high robustness and real-time requirements 3

A new traffic signal detection system with high robustness a...

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3rd international conference on signal Image processing and Communication, ICSIPC 2023

作者： Tang, Junjie Li, Yicun State Key Laboratory of Disaster Prevention & Mitigation of Explosion & Impact Army Engineering University of PLA Jiangsu Nanjing210007 China Business School Hangzhou City College Hangzhou Yiyuan Technology Co. Ltd. Hangzhou China

ISBN: (纸本)9781510670945

Automatic traffic signal detection has great significance to the development of autonomous driving technology and vehicle warning of dangerous driving behavior. Detecting traffic lights by analyzing images obtained from mobile device cameras is a feasible solution. In this paper, a new traffic signal detection system with high robustness and real-time requirements. Firstly, the HSV color segmentation method is used to segment the original map. Then, the aspect ratio information and area information of traffic lights are utilized for secondary filtering. The morphological processing method is used to filter the background in the image. Finally, intercept the crucial area to obtain the final significance segmentation image of preprocessing. Combining the salient feature preprocessing based on traditional image processing methods with the target detection model based on deep learning, the algorithm of traffic signal detection and recognition is improved. © 2023 SPIE.

关键词： signal detection

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Dynamic data Transfer with Color QR Codes 3

Dynamic Data Transfer with Color QR Codes

引用

3rd IEEE international conference on Problems of Informatics, Electronics and Radio Engineering, PIERE 2024

作者： Yusupova, Shohida B. Faxriddin, Bekchanov Urgench Branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Department of Information Technology Urgench Uzbekistan Non-state educational institution 'Mamun University' Xiva Uzbekistan

ISBN: (纸本)9798331516321

The result of this research is the development of algorithms for generating and reading color code patterns for dynamic low-bit-rate data transmission to generate color QR code. This new model will also use existing techniques such as compaction, multiplexing and layering. A new type of color QR code is generated through this study, which will improve its efficiency. Color codes are usually created to encode digital data, but they can also be used as color calibration charts by applying different color distributions. In this dataset, we provide several thousand QR code illustrations generated using two different color processing methods (accident and backward-compatible), each with different parameter settings in color identification. These QR codes were subjected to three different channel conditions: unmodified, augmented and real environments. In addition, we calculate the signal-to-noise ratio (SNR) and bit error rate (BER) for these QR codes, comparing them with traditional black and white versions. Finally, we evaluate the ability of ZBar, a commercial QR code scanner, to accurately read color codes. © 2024 IEEE.

关键词： Color codes

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Performance of BOK-MPSK chirp modulation for data transmission 3

Performance of BOK-MPSK chirp modulation for data transmissi...

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3rd international conference on Advanced Algorithms and signal Image processing, AASIP 2023

作者： Liu, Jichao Zhao, Xu Zhang, Yubing Gan, Jie Li, Dejian Cui, Bingfeng Beijing Smart-Chip Microelectronics Technology Co. Ltd Beijing China

ISBN: (纸本)9781510668522

This paper presents a binary orthogonal keying (BOK) incorporating M-Ary phase shift keying (MPSK) modulation for Chirp transmission system. The BOK-MPSK symbol applies both BOK and phasing shift keying as modulation schemes, rather than using chirp as a spreading sequence. The system model and receiving algorithm of BOK-MPSK are presented in this paper. A BOK-MPSK signal is recovered by chirp correlation and judgement. The performance of bit error rate for BOK-MPSK has been analysed in contrast with MPSK. Simulations of bit error rate comparison between BOK-MPSK and MPSK are assessed, which are in accordance with theoretical analysis. It indicates that BOK-MPSK has advantageous of demodulation performance as well as bandwidth spectrum efficiency. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Spectrum efficiency

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VEL@LT-EDI-2023: Detecting Homophobia and Transphobia in Code-Mixed Spanish Social Media Comments 3

VEL@LT-EDI-2023: Detecting Homophobia and Transphobia in Cod...

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3rd Workshop on Language Technology for Equality, Diversity and Inclusion, LTEDI 2023

作者： Kumaresan, Prasanna Kumar Ponnusamy, Kishore Kumar Shanmugavadivel, Kogilavani Navaneethakrishnan, Subalalitha Chinnaudayar Priyadharshini, Ruba Chakravarthi, Bharathi Raja Insight SFI Research Centre for Data Analytics University of Galway Ireland Guru Nanak College Tamil Nadu Chennai India Kongu Engineering College Tamil Nadu India Department of Computer Science & Engineering SRM Institute of Science and Technology Tamil Nadu India Gandhigram Rural Institute-Deemed to be University Tamil Nadu India Insight SFI Research Centre for Data Analytics School of Computer Science University of Galway Ireland

ISBN: (纸本)9789544520847

Our research aims to address the task of detecting homophobia and transphobia in social media code-mixed comments written in Spanish. Code-mixed text in social media often violates strict grammar rules and incorporates non-native scripts, posing challenges for identification. To tackle this problem, we perform pre-processing by removing unnecessary content and establishing a baseline for detecting homophobia and transphobia. Furthermore, we explore the effectiveness of various traditional machine-learning models with feature extraction and pre-trained transformer model techniques. Our best configurations achieve weighted F1 scores of 0.86 on the test set and 0.86 on the development set for Spanish, demonstrating promising results in detecting instances of homophobia and transphobia in code-mixed comments. © 2023 LTEDI 2023 - 3rd Workshop on Language Technology for Equality, Diversity and Inclusion, associated with the 14th international conference on Recent Advances in Natural Language processing, RANLP 2023 - Proceedings. All rights reserved.

关键词： Social networking (online)

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Alzheimer's Disease Classification Detection Based on Brain Electrical signal Graph Structure 3

Alzheimer's Disease Classification Detection Based on Brain ...

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3rd international conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2023

作者： Wang, Zhuozheng Song, Jingru Wang, Yuyang Liu, Wei Beijing University of Technology Faculty of Information Technology Beijing China

ISBN: (纸本)9798350302356

Alzheimer's disease (AD) is a neurodegenerative disease that cannot be reversed once it occurs, and there is currently no cure. However, early detection of AD can lead to earlier control of the patient's condition, thus maximizing their quality of life. This study constructed a brain network graph based on the disease characteristics of AD and scalp electroencephalogram (EEG) data, and extracted topological features. These features were then input into machine learning and deep learning models for training, achieving a maximum accuracy rate of 97.27%. This suggests that brain network structures can be used to identify AD, which may help doctors diagnose AD earlier. © 2023 IEEE.

关键词： Neurodegenerative diseases

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LED Lighting Modern Furniture Decoration System with Computer 3D Modeling Technology: A Review 3

LED Lighting Modern Furniture Decoration System with Compute...

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2023 IEEE 3rd international conference on data Science and Computer Application, ICDSCA 2023

作者： Zhicheng, Yu Abidin, Shahriman Zainal Toyong, Natrina Mariane P. Universiti Teknologi Mara College of Creative Arts Selangor Shah Alam40450 Malaysia

ISBN: (纸本)9798350341546

A monitoring system of LED upholstery lights based on TCP/IP and DMX512 is a common feature. The objective of the paper is to describe a hardware circuit design of the device, and its main software process. The issue here is that lighting system of the LED street light is optimized from the perspectives of the light source of the street light, the control circuit, the optimal tilt angle of the battery components, and the volume size of the battery components and batteries. The review of the existing literature and systems is used as a methodology for the studies. The LED light can be turned on and off and the brightness can be adjusted according to the surrounding environmental conditions. The device can achieve wide dimming range, high power output, and good signal transmission performance. As a result, while ensuring smooth and reliable operation of the system, it reduces the size and cost of the system as much as possible. © 2023 IEEE.

关键词： analog signal control Average current value brightness control LED lamp system design

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Received signal Strength based Proficient Clustering in Mobile Wireless Sensor Network 3

Received Signal Strength based Proficient Clustering in Mobi...

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3rd international conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Suresh, G. Anandan, P. Kumaratharan, N. Anbuselvan, N. Sri Indu College of Engineering and Technology Department of Electronics and Communication Engineering Telangana Hyderabad India Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Electronics and Communication Engineering Tamil Nadu Chennai India Sri Venkateswara College of Engineering Department of Electronics and Communication Engineering Tamil Nadu Chennai India Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Electrical and Electronics Engineering Tamil Nadu Chennai India

ISBN: (纸本)9781665462167

A Mobile Wireless Sensor Network (MWSN) is self-configuring because of its dynamic nature, and each node functions with inadequate energy. MWSN lacks the Static nodes and these indications to unrestrained the dissemination of a transmission packet. Thus, increasing processing energy and the efficient link is a significant challenge since nodes are movable. This approach proposes Received signal Strength based Proficient Clustering (RS2PC) in Mobile WSN. This strategy is comprised of three stages: the selection of the Cluster Head (CH), the construction of clusters, and the transmission of data. In this case, the node with the lowest link lifespan (LFT) and the maximum residual energy is chosen to serve as a CH. Here, the cluster is formed by the node Received signal Strength (RSS). The CH separates the adjacency nodes into regions based on the node RSS. This approach is utilized for minimizing both the rebroadcast redundancy and congestion. Simulation results demonstrate that this approach improves the network lifespan and reduces the network delay. © 2023 IEEE.

关键词： Sensor nodes

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Layout optimization and signal integrity analysis of high-speed differential via 3

Layout optimization and signal integrity analysis of high-sp...

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3rd international conference on Advanced Algorithms and signal Image processing, AASIP 2023

作者： Zhou, Lusha Liu, Guangfu Zeng, Aijing Ding, Yifu Liu, Zhe She, Haijun Co Ltd. 39#. Xiangshan Avenue Guangzhou511340 China

ISBN: (纸本)9781510668522

With the rapid development of automobiles towards electrification and intelligence, 5nm Qualcomm 8295 flagship chip has been gradually applied to traditional and new energy vehicles, which brings higher requirements for high-quality signal transmission. In this study, the signal quality evaluation methods of the insertion loss to crosstalk ratio and the integrated crosstalk noise are explored. In addition, two kinds of differential via optimization schemes with the signal-ground ratio of 1:2 and 2:3 are proposed, respectively. The results show that the performance of the new differential via structure is improved significantly, which provides a reliable solution for high-quality signal transmission. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Crosstalk

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A Wireless In-Shoe Plantar Pressure Sensing System with Embedded Sensor Condition Analysis 3

A Wireless In-Shoe Plantar Pressure Sensing System with Embe...

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3rd international conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Mondal, Mousumi Majumder, Shromana Chandra, Soumyak Pal, Debasmita Gupta, Rajarshi Mukhopadhyay, Sumitra University of Calcutta Radio Phyics and Electronics Kolkata India University of Calcutta Electrical Engg. Applied Physics Kolkata India

ISBN: (纸本)9798350319125

Early detection of diabetic foot ulcer (DFU) can prevent foot amputation, related health complications and even early death. Research has shown that plantar pressure analysis can provide early predictions of DFU. In this paper, an indigenous wearable plantar pressure sensing system with embedded reliability analysis is presented. The sensing module can be controlled from a mobile phone user interface for continuous data acquisition from six Flexiforce pressure sensors attached to the insole of a shoe. The entire development consists of sensors, an indigenous front end DAQ, and a mobile phone. The signal conditioning consists of pressure to voltage conversion up to 3.3V to feed a multi-channel ADC and an ARM v6 microcontroller, which communicate the data stream to the mobile phone using a Bluetooth communication for continuous storage. An embedded sensor condition analysis (ESCA) also detects the sensor loose contact, sensor detachment which may occur in continuous monitoring applications. Accordingly, the Bluetooth transmission of the corresponding channel is replaced by a fixed character to save battery power. The processing flow consists of deep autoencoder based feature extraction, and random forest classifier for prediction, with the accuracy of 91% over 720 number of blind trials. The standalone deployment of processing pipeline in the ARM v6 controller required 10.39 kbytes of memory and 1.21 s to process 3 s sensor data for embedded reliability analysis. Future end-to-end connectivity of the sensing and analysis system can be useful for wearable health monitoring. © 2023 IEEE.

关键词： data acquisition diabetic foot ulcer plantar pressure prediction

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