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Research on communication Signals Optimization based on Deep Learning 8

Research on Communication Signals Optimization based on Deep...

引用

8th international conference on Intelligent computing and Signal Processing, ICSP 2023

作者： Li, Maosen Zhang, Xiyu Li, Tianhao Chengdu Jincheng College College of Electronic Information Chengdu China Wuchang University of Technology School of Artificial Intelligence Wuhan China

ISBN: (纸本)9798350302455

At present, communication signals has become an essential component in privacy information transmission and social media establishment. The quality and noises of communication signals has crucially influenced on information transmission. Therefore, the optimization for communication signal is an essential method to enhance transmission ability and improve the communication channels. However, existing optimization mechanism are concentrated on digital signals processing techniques and wavelet transform, which are primarily based on the Fourier transform theory and leak the basic function for optimization process. In this paper, we utilize the advanced deep learning method to train an automatic optimization model to eliminate the noises in communication signals. The model is consisted by a pro-processing module, which is a residual network to simulate as filter and full-connected layer to reduce output dimensions. Subsequently, we add the white Gaussian noise into communication signals 4ASK and 4PSK to evaluate the proposed with existing optimization methods. From our extensive experimental simulation results, we can conclude that our model can achieve approximately 90% optimization accuracy in the different signal-to-noise ratios with reasonable computation costs. © 2023 IEEE.

关键词： Signal to noise ratio

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Embedded Assistive Cane for Visually Impaired Persons 15

Embedded Assistive Cane for Visually Impaired Persons

引用

15th international conference on advances in computing, Control, and Telecommunication Technologies, ACT 2024

作者： Dhanalakshmi, S. Poongothai, M. Department of Electronics and Communication Engineering Coimbatore Institute of Technology Coimbatore India

ISBN: (纸本)9798331300579

The second leading cause of death in the elderly and severe injury for the visually impaired is due to falls. Many studies, reveals that the usage of conventional assistive cane devices is critical in reducing the risk of falls. The conventional aids exhibit serious adverse effects that contribute to falls, even though it provides physical support as well as supplementary sensing feedback to patients. The visually impaired people mostly use white cane or guide dogs to provide directions while walking. In order to enhance the features of existing white cane, a smart assisting cane is designed to achieve the goals of obstacle avoidance and fall detection efficiently. The existing smart cane informs the user whether the obstacle is present or not, but the user have no idea about what type of obstacle it is. Thus, in this work, a system which detects elevated and depressed surface and aids the user while approaching a staircase is designed. This system also detects overhead or hanging obstacles. In addition to that to prevent fall, a moisture sensor is placed at the end of the stick to detect slippery surfaces and an additional ultrasonic sensor is placed for identifying pit. These sensors are interfaced with Arduino. Elevated surface and drop off surfaces are also detected by comparing the difference in delay of signals from the two sensors. The main objective of this work is to design a smart cane which helps the blind user to get aware of what type of obstacle he/she is approaching and alerting them with voice output. The systems also gives alerts the user's relative position by sending the location of the user in case of any abnormal or emergency situations. © Grenze Scientific Society, 2024.

关键词： Ultrasonic sensors

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An Android based Automatic Irrigation System for Home Gardening 14

An Android based Automatic Irrigation System for Home Garden...

引用

14th international conference on advances in computing, Control, and Telecommunication Technologies, ACT 2023

作者： Modak, Akshay Mondal, Anwesha Goon, Surajit Department of Computer Science Eminent College of Management and Technology India

The Internet of Things (IoT) is a system that connects devices, either directly or indirectly, to the internet. These devices can be controlled remotely. IoT systems can be used in irrigation for sustainable growth and development of plants. In this paper, we introduce an Internet-of-Things-based smart plant watering and monitoring system. This equipment comes with a soil moisture measurement sensor that serves as a benchmark for determining soil moisture levels. Watering of plants is done when the soil moisture is below desired range. An Android-based application's screen will display information as long as the gadget is turned on. In this project, we use a soil moisture sensor, and an ultrasonic sensor. These sensors are combined with a well-established android application as a wireless sensor network. © Grenze Scientific Society, 2023.

关键词： Irrigation

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Intrusion Detection System in Networks Employing a Double-Layer Architecture Using Machine Learning Algorithms 14

Intrusion Detection System in Networks Employing a Double-La...

引用

14th international conference on computing communication and Networking Technologies, ICCCNT 2023

作者： Mohapatra, Amrit Jain, Natasha Rudra, Bhawana National Institute of Technology Information Technology Karnataka Surathkal575025 India

ISBN: (纸本)9798350335095

Monitoring both the activities of the system itself and the traffic on the network is the job of an intrusion detection system, which is more commonly referred to by its acronym, IDS. The IDS works by analyzing the network traffic or system logs, looking for patterns and signatures of known threats, or deviations from normal behavior that may indicate an attack. This may be done in response to the activity or traffic being deemed suspicious or destructive. IDS can take many different shapes, but regardless of its appearance, their primary purpose is to identify potentially harmful traffic in a number of different ways. There are primarily two types of intrusion detection systems: those that monitor networks and those that monitor individual computers. The anti - virus program and the firewall are two examples of defensive mechanisms used by the systems that detects intrusion. IDS plays a major role in providing protection to systems and computer networks out of various types of attacks, such as malware infections, hacking attempts, and unauthorized access. It alerts security administrators to potential threats, provide detailed information about the attack, and help to prevent or mitigate the damage caused by the attack. © 2023 IEEE.

关键词： Personal computing

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From Bullshit to Bull's Eye - story of persuasive argument winning us a big pie 14

From Bullshit to Bull's Eye - story of persuasive argument w...

引用

14th international conference on computing communication and Networking Technologies, ICCCNT 2023

作者： Arora, Sakshi Sinha, Sapna Monga, Himanshu Amity Institute of Information Technology Amity University Uttar Pradesh Noida India Government Hydro Engineering College Department of Technical Education Himachal Pradesh Bilaspur India

ISBN: (纸本)9798350335095

Argument persuasiveness applications are becoming increasingly popular in today's digital age. These applications are designed to assist users in developing and delivering effective arguments, with the aim of persuading others to their point of view. The purpose of this research is to explore the applicability and effectiveness of argument persuasiveness prediction model. Specifically, this study aims to predict the argument's ability to influence the opinions of others using sentiment analysis on various argument components. © 2023 IEEE.

关键词： Sentiment analysis

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An Analysis of Transform Coding Techniques in Image and Video Compression 15

An Analysis of Transform Coding Techniques in Image and Vide...

引用

15th international conference on computing communication and Networking Technologies, ICCCNT 2024

作者： Goyal, Shobhit Kuppuraj, T. Bahri, Dimple Arora, Mithhil Dongre, Y.V. Chitra, S. Quantum University Research Center Quantum University India Department of Computer Applications Karpagam Academy of Higher Education Coimbatore India Karnataka Bangalore India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Vishwakarma Institute of Information Technology Pune India Department of Electronics and Communication Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai India

ISBN: (纸本)9798350370249

this paper c the numerous transform coding strategies used for image and video compression when it comes to their effectiveness, implementation problems, and ability packages. Transform coding is an information compression approach that reduces the number of statistics by exploiting redundancies such as spatial and spectral correlations within the data. The primary remodel coding strategies mentioned encompass the discrete cosine rework (DCT), discrete wavelet remodel (DWT), block-based movement compensation (BMC), and changed discrete cosine remodel (MDCT). Furthermore, the paper compares the extraordinary remodel coding strategies in phrases in their performance, performance, and complexity. The paper starts by introducing the motivation at the back of rework coding techniques and their position in records compression. It then discusses how the numerous rework coding techniques compare to each other and why one technique can be favored over the alternative. The paper examines the overall performance of the special strategies by thinking about parameters including top sign-to-noise ratio (PSNR), compression fee, and objective/subjective nice. Finally, the paper affords an overview of the unique applications in which transform coding may be used. Standard, this paper affords an insightful evaluation of the diverse transform coding strategies used for information compression. ©2024 IEEE.

关键词： Image compression

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A Technique for Improving High-Speed Dynamic Networks using IoT 14

A Technique for Improving High-Speed Dynamic Networks using ...

引用

14th international conference on advances in computing, Control, and Telecommunication Technologies, ACT 2023

作者： Alam, Md Mohtab Sachi, Savya Ansari, Md Shahnawaz Eklavya University Madhya Pradesh Damoh India Department of Information Technology Lalit Narayan Mishra College of Business Management Bihar Muzaffarpur India

Digital India campaign has been launched emphasizing the electronic usage or online services for digital empowerment. Wireless Sensor Network (WSN) is an rising innovation within the investigate gather since of the later improvements in WSN. The advancement of innovations in IOT, RFID and so on increments the WSN applications with the later upgrades. The enhancements in WSN applications such as sun powered prepared WSN, rechargeable WSN and so on appears the require of WSN. In expansion, applications for military, domestic security and other day by day utilizing applications are in creating organize in WSN. WSN comprises of sensor nodes which are grouped to make clusters to gather and forward the information to the base station. Sensor hubs are consist of battery which is for the most part non-rechargeable, memory, processor and so on. The longer term upgrade in this convention is to including multihop communication and IOT based cluster arrangement demonstrate. Filter convention didn't take the leftover vitality of hubs into consideration when choosing the cluster heads, which may result within the hub with or maybe moo energy to be chosen as a cluster head. In this way, it'll cause the cluster made by this low-energy hub to be dead at an early arrange, which squanders the complete network's asset. We present an vitality calculate when choosing a cluster head, which can maintain a strategic distance from a hub with exceptionally low-energy to be a cluster head. In the mean time, we conduct a reenactment particular to Filter convention and this moved forward calculation in terms of arrange lifetime, arrange solidness, collecting information bundles and vitality utilization. Recreation comes about appear that our moved forward calculation has superior execution compared with Filter convention in these angles. © Grenze Scientific Society, 2023.

关键词： Military applications

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Improved UNet for Semi-Supervised Multi-Scale CMRI Right Ventricular Segmentation Method 9

Improved UNet for Semi-Supervised Multi-Scale CMRI Right Ven...

引用

9th international conference on Intelligent computing and Signal Processing, ICSP 2024

作者： Cui, Hongzhen Wang, Shichao Zhu, Xiaoyue Peng, Yunfeng School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China School of Electronics and Information Engineering Liaoning University of Technology Liaoning China

ISBN: (纸本)9798350376548

Segmentation of the right ventricle (RV) holds significant clinical implications for the assessment of cardiac function in conditions such as pulmonary hypertension. Precise delineation of the right ventricle from cardiac magnetic resonance images (CMRI) is crucial in the diagnosis of various cardiac conditions. It provides clinicians with essential information for patient evaluation, treatment planning, and subsequent rehabilitation strategies. Currently, the development of fully automated segmentation models for the right ventricle heavily relies on deep learning techniques, necessitating meticulous manual annotation of CMRI data to achieve optimal segmentation results. However, the labor-intensive nature of labeling CMRI data requires significant medical expertise and consumes considerable time and resources. In response to these challenges, this study proposes a semi-supervised multi-scale segmentation approach for the right ventricle in CMRI. The method leverages unlabeled data to enhance segmentation accuracy while minimizing the reliance on annotated data. Experimental findings demonstrate the effectiveness of the proposed method in accurately delineating the right ventricle from CMRI datasets. © 2024 IEEE.

关键词： Magnetic resonance imaging

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Simulation of Underwater Photo Counting Wireless Optical communication System with DPIM Modulation and Array SIPM Detector 2

Simulation of Underwater Photo Counting Wireless Optical Com...

引用

2nd international conference on computing, communication, Perception and Quantum technology, CCPQT 2023

作者： Yang, Lvling Yan, Qiurong Zhao, Youzhe Guo, Huang Du, Hua Nanchang University School of Information Engineering Nanchang China North Lianchuang Communication Co. Ltd Doctoral Research Innovation Center Nanchang China North Lianchuang Communication Co. Ltd Information Equipment Department Nanchang China

ISBN: (纸本)9798350342697

Although there have been many discussions on the application of SIPM detectors in underwater photon counting wireless optical communication systems, the working distance is also limited due to the limited detection range of a single SIPM detector. In order to achieve longer-distance communication, this paper uses 4∗4 array SIPM to detect optical signals, and compares the communication performance of single-photon avalanche diode (SPAD), SIPM and array SIPM. In addition, recently, in order to overcome the bandwidth waste caused by PPM redundant time slots, many communication systems have begun to use pulse-interval position modulation (DPIM), but rarely use it in the field of underwater wireless optical communication. In this context, a system model under DPIM modulation and array SIPM detector is established in this paper, the data frame design of DPIM modulation is carried out, and the system communication performance of different time slot frequencies and different receiver detectors is compared. The experimental results demonstrate that when the time slot frequency is set at 1 Mhz, the communication performance of a 4∗4 array of SiPM surpasses that of individual SiPM and Single Photon Avalanche Diodes (SPAD). Furthermore, with a photon threshold of 8 within the time slot, the system's error-to-time gap ratio remains at 7.8x10-3, and the theoretical communication distance reaches 192 meters. © 2023 IEEE.

关键词： Photons

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Classification of Cervical Images Based On Deep Neural Network With Attention Mechanism 6

Classification of Cervical Images Based On Deep Neural Netwo...

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6th IEEE international conference on Electronic information and communication technology, ICEICT 2023

作者： Feng, Yun Chen, Lan Zhang, Xia Li, Yingsong Li, Liping Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education China

ISBN: (纸本)9798350399059

In this paper, we propose a DenseNet-CBAM model that utilizes DenseNet121 as the backbone network for feature extraction. The features are then weighted using the Convolutional Block Attention Module (CBAM), which incorporates both channel and spatial attention mechanisms. The features are further processed with ReLU activation and adaptive average pooling operations. Finally, a linear classifier is applied to output the final category predictions. Experiment results show that the proposed model performs the best in terms of the ability in detecting patients with high-grade squamous intraepithelial lesions (HSIL). © 2023 IEEE.

关键词： Image classification

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