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检索条件"任意字段=8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023"

共 442 条记录，以下是81-90 订阅

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Research on the Detection of Abnormal Cervical Cells Based on Improved YOLOv7 9

Research on the Detection of Abnormal Cervical Cells Based o...

引用

9th international conference on intelligent computing and signal processing, icsp 2024

作者： Wang, Xuewei Yuan, Shuang Yang, Lidong Niu, Dawei Inner Mongolia University of Science and Technology School of Digtial and Intelligence Industry Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing Inner Mongolia China

ISBN: (纸本)9798350376548

Cervical cytologic screening is clinically important for the prevention and diagnosis of cervical cancer. Aiming at the many challenges in the detection of abnormal cervical cells, including the difficult detection of small targets of abnormal cervical cells, complex backgrounds, and uneven cell morphology, a detection algorithm for abnormal cervical cells based on improved YOLOv7 was proposed. the algorithm utilizes Deformable Convolutional Networks v2 (DCNv2) that adaptively de-tunes the scale and receptive field size to more effectively cope with the complexity and diversity of cervical cell images. the experimental results show that the improved YOLOv7 algorithm mAP achieves 57.26%, up to 73.88% accuracy, and 46.90% recall on the cervical abnormal cell dataset. Compared with the benchmark model, they increased by 4.07%, 3.39%, and 5.69%, respectively. © 2024 IEEE.

关键词： Convolution

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Real-time pricing method through market auction based on multi-agent reinforcement learning 8

Real-time pricing method through market auction based on mul...

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8th international conference on Power and Renewable Energy, ICPRE 2023

作者： Hong, Peng He, Shuping Fang, Xiaohan Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electrical Engineering and Automation Hefei230601 China

ISBN: (纸本)9798350328813

With the development of distributed energy systems, pricing different energy sources in microgrids has become a significant challenge. To solve this problem, this paper proposes an real-time pricing method through market auction based on multi-agent reinforcement learning. the energy supply side provides different energy production and quotations, while consumers on the energy demand side freely quote and purchase the required energy in the energy market based on their own needs. the final transaction price of different energy sources is determined by the quotes of the buyer and seller who have reached the transaction. the simulation results indicate that the proposed pricing method have a good performance. © 2023 IEEE.

关键词： Market auction Multi-agent reinforcement learning Real-time pricing

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Research on intelligent decision-making mechanism of the elderly care system based on fuzzy neural network

Research on intelligent decision-making mechanism of the eld...

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6th international conference on intelligent computing and signal processing (icsp)

作者： Lijun Tang Big Data and Internet of Things School Chongqing Vocational Institute of Engineering Chongqing China

In order to solve the problem that the existing detection mechanism only using the fall sensors easily leads to the elderly care system receiving false fall help signals, an intelligent decision-making mechanism based on a fuzzy neural network is proposed. After receiving the fall help signal reported by the person label, the mechanism first reads the sensor data collected by the person label at that moment, then standardizes the sensor data, and finally inputs the standardized sensor data into the fuzzy neural network model to analyze and judge the authenticity of the fall help signal. the results show that the intelligent decision-making mechanism based on the fuzzy neural network can effectively eliminate the false fall help-seeking signal caused by the false judgment of the fall sensor, and the judgment accuracy of the fall help-seeking signal can reach 97. 5%.

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Research on risk assessment method of road risk grade assessment

Research on risk assessment method of road risk grade assess...

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6th international conference on intelligent computing and signal processing (icsp)

作者： Shaoxin Pu Chang’an Dublin International College of Transportation at Chang’an University Xi’an China

this article studies big data technology, analyzes the relationship between various factors of urban road traffic and the occurrence of traffic accidents, and establishes a prediction model based on this. By collecting and processing a large amount of traffic data, including traffic flow, speed, weather, and other information, and combining historical traffic accident records, a prediction model based on machine learning was constructed. the model can monitor road traffic conditions in real time and predict the probability of traffic accidents. In addition, we have also verified and evaluated the model, proving its accuracy and practicality. this research contributes to improving the efficiency of traffic management and road safety, and has important practical significance.

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Research and Design of Narrowband conference System Based on Hybrid Networking

Research and Design of Narrowband Conference System Based on...

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6th international conference on intelligent computing and signal processing (icsp)

作者： Zhikun Chen Yu Zhao Lu Wang Qianyun Ding Wenfang Yang Unit 91977 People Liberation Army of China Beijing China l Unit 91977 People Liberation Army of China Beijing China Sumavision Corporation in Beijing Beijing China

Based on the analysis of the current situation of video conferencing and the characteristics of satellite network environments, and in view of the environmental characteristics of ground satellite hybrid networking, this article proposes the research, design, and implementation of a narrowband conferencing system based on channel adaptation and modular processing ideas and methods, to improve the efficiency of remote audio and video communication in special network environments, and provide technical support for remote consultation, emergency relief, telemedicine, and mission support.

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intelligent anti-jamming methods for wireless networks

Intelligent anti-jamming methods for wireless networks

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6th international conference on intelligent computing and signal processing (icsp)

作者： Kaitian Cao Haonan Zhengkong School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai China

In wireless networks, interference is always present and traditional anti-jamming methods are no longer able to cope with the more intelligent and dynamic interference. therefore, there is an urgent need to improve anti-jamming technology in order to combat intelligent interference and ensure communication transmissions against the increasing number of intelligent and malicious jams. In this paper, we focus on the task of intelligent anti-jamming of wireless networks systems. Specifically, we first model the wireless networks system under interferer attacks, the signal to interference plus noise ratio and the reward function by using deep reinforcement learning, and then design a double deep Q network to simulate the confrontation between the symbiotic radio network and the interferer. Furthermore, the Q network is constructed using a Swin Transformer Block. Simulation results show that our approach outperforms Q-networks using other machine learning.

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Social and Emotion AI: the Potential for Industry Impact 8

Social and Emotion AI: The Potential for Industry Impact

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8th international conference on Affective computing and intelligent Interaction (ACII)

作者： Perepelkina, Olga Vinciarelli, Alessandro Neurodata Lab Moscow Russia Univ Glasgow Glasgow Lanark Scotland

ISBN: (纸本)9781728138916

the goal of this paper is to provide an account of the current progress of Social and Emotion AI, from their earliest pioneering stages to the maturity necessary to attract industrial interest. After defining the scope of these domains and showing that they overlap to a substantial extent with pre-existing computing areas (e.g., Social signal processing and Affective computing), the article tries to measure the industrial interest they attract through several publicly available market forecasts. these show that the volume of the market in Social and Emotion AI is expected to grow considerably in the next years and, hence, the companies active in the field are likely to attract increasingly more attention and investment. Finally, the paper shows that the very appearance of products driven by Social and Emotion AI might be a likely reason for the extensive current debate on AI and ethics. Besides ensuring that the development of AI follows a path that ensures the greatest possible advantage for society, such a debate might actually define the next research avenues in the field.

关键词： Social AI Emotion AI Affective computing Social signal processing Market Forecast

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UAV Passive Location Model Based on Azimuth Optimization Algorithm

UAV Passive Location Model Based on Azimuth Optimization Alg...

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6th international conference on intelligent computing and signal processing (icsp)

作者： Zhaofeng Zhang Siyuan Wang Rui Liu Jingjin Wu Faculty of Science and Technology BNU- HKBU United International College Zhuhai China

To solve the problem of passive localization in Unmanned Aerial Vehicles (UAV) formation, a UAV passive localization model based on formation azimuth optimization algorithm is proposed. By solving the equation based on the formation characteristics, the model can achieve relatively accurate positioning and adjustment of the UAV with position deviation in the formation. this paper demonstrates the specific model and adjustment steps of the method in the scenario of 15 UAVs cone-shaped formation and 10 UAVs circular formation, and the simulation and error analysis of the model are carried out. According to the analysis, the positioning accuracy is obviously improved after optimization, which proves that the method is feasible.

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intelligent transportation operation and maintenance integrated processing data collection and information analysis

Intelligent transportation operation and maintenance integra...

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6th international conference on intelligent computing and signal processing (icsp)

作者： Lijuan Yao Xiandong Li Institute of Information Innovation and Network Security Industry Shandong Institute of Commerce & Technology Jinan Shandong CHN

During an observation season, for the representative of the transportation infrastructure, the intelligent monitoring of strain, deformation, cable force and mode of the urban river-crossing super large bridge will be carried out, and the information collection points will be arranged at the key parts to analyze the collected big data, which will serve as the proof that the bridge operation and maintenance are in a safe and controllable state, and ensure the smooth operation of the bridge. According to the monitoring information, the comprehensive evaluation of bridge health needs a reasonable evaluation method. In this paper, the evaluation system of bridge technical condition is established by using analytic hierarchy process (AHP) for extra-large bridges. this method is simple, practical and effective, and can also be used for intelligent operation and maintenance management of small and medium-sized bridges, slopes, tunnels and other transportation infrastructure.

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Robots Expressing Dominance: Effects of Behaviours and Modulation 8

Robots Expressing Dominance: Effects of Behaviours and Modul...

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8th international conference on Affective computing and intelligent Interaction (ACII)

作者： Peters, Rifca Broekens, Joost Li, Kangqi Neerincx, Mark A. Delft Univ Technol Intelligent Syst Delft Netherlands Leiden Univ LIACS Leiden Netherlands

ISBN: (纸本)9781728138886

A mayor challenge in human-robot interaction and collaboration is the synthesis of non-verbal behaviour for the expression of social signals. Appropriate perception and expression of dominance (verticality) in non-verbal behaviour is essential for social interaction. In this paper, we present our work on algorithmic modulation of robot bodily movement to express varying degrees of dominance. We developed a parameter-based model for head tilt and body expansiveness. this model was applied to a variety of behaviours. these behaviours were evaluated by human observers in two different studies with respectively static pictures of key postures (N=772) and real-time gestures (N=31). Overall, specific behaviours proved to communicate different levels of dominance. Further, modulation of body expansiveness and head tilt robustly influenced perceived dominance independent of specific behaviours and observer viewing height and angle. the modulation did not influence perceived valence, but it did influence perceived arousal. Our study shows that dominance can be reliably expressed by both selection of specific behaviours and modulation of behaviours.

关键词： Human-robot Interaction Social Robotics Body Language Dominance Power Non-verbal Behaviour Expression Social signal processing Perception Synthesis Modulation

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