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MLPFormer: MLP-integrated transformer for colorectal histopathology whole slide image segmentation

Neural Computing and Applications 2025年第6期37卷 4651-4661页

作者： Wang, Yuxuan Li, Dan Li, Xuechen Guo, Yan Zuo, Yanfei Shen, Linlin Department of Computer Science Wenzhou-Kean University Wenzhou China School of Electronics and Information Engineering Wuyi University Jiangmen China Department of Histo Pathology Shanghai Histo Pathology Diagnostic Center Shanghai China College of Computer Sicence and Software Engineering Shenzhen University Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China

Colorectal intraepithelial neoplasia is a precancerous lesion of colorectal cancer, which is mainly diagnosed using pathological images. According to the characteristics of lesions, precancerous lesions can be classified into four different grades, i.e., background, normal, low and high level. However, due to the continuity of lesion development, tissue in different stages has high similarity. Recently, visual transformers have achieved impressive results in different visual tasks, due to their capacity of capturing long-range dependencies. However, due to computational cost, transformer cannot well extract detailed feature, which is important for lesion grading. To accurately segment pathological tissues with high similarity, in this work, we embed the multi-head MLP mixer module in the transformer network to extract cell and edge information. Furthermore, we propose a hierarchical MLP decoder to facilitate multi-scale feature fusion. The proposed transformer, namely MLPFormer, achieves remarkable results against competitive baselines on the Histo-CRC Biopsy dataset. The experimental results demonstrate that MLPFormer significantly outperforms the competitive baselines, i.e., a 3% dice improvement is achieved over the SegFormer series. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Image segmentation

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A Reverse Path Planning Approach for Enhanced Performance of Multi-Degree-of-Freedom Industrial Manipulators

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computer Modeling in engineering & Sciences 2024年第5期139卷 1357-1379页

作者： Zhiwei Lin Hui Wang Tianding Chen Yingtao Jiang Jianmei Jiang Yingpin Chen Key Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province School of Physics and Information EngineeringMinnan Normal UniversityZhangzhou363000China Department of Electrical and Computer Engineering University of NevadaLas Vegas89154USA College of Material Engineering Fujian Agriculture and Forestry UniversityFuzhou350000China

In the domain of autonomous industrial manipulators,precise positioning and appropriate posture selection in path planning are pivotal for tasks involving obstacle avoidance,such as handling,heat sealing,and *** Multi-Degree-of-Freedom(MDOF)manipulators offer kinematic redundancy,aiding in the derivation of optimal inverse kinematic solutions to meet position and posture requisites,their path planning entails intricate multiobjective optimization,encompassing path,posture,and joint motion *** satisfactory results in practical scenarios remains *** response,this study introduces a novel Reverse Path Planning(RPP)methodology tailored for industrial *** approach commences by conceptualizing the manipulator’s end-effector as an agent within a reinforcement learning(RL)framework,wherein the state space,action set,and reward function are precisely defined to expedite the search for an initial collision-free *** enhance convergence speed,the Q-learning algorithm in RL is augmented with ***,we formulate the cylindrical bounding box of the manipulator based on its Denavit-Hartenberg(DH)parameters and propose a swift collision detection ***,the motion performance of the end-effector is refined through a bidirectional search,and joint weighting coefficients are introduced to mitigate motion in high-power *** efficacy of the proposed RPP methodology is rigorously examined through extensive simulations conducted on a six-degree-of-freedom(6-DOF)manipulator encountering two distinct obstacle configurations and target *** results substantiate that the RPP method adeptly orchestrates the computation of the shortest collision-free path while adhering to specific posture constraints at the target ***,itminimizes both posture angle deviations and joint motion,showcasing its prowess in enhancing the operational performance of MDOF industrial manipulators.

关键词： Reverse path planning Dyna-Q bidirectional search posture angle joint motion

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Energy Aware Planning Approach Considering Cost of Electrical Energy for Sustainable Development 1

Energy Aware Planning Approach Considering Cost of Electrica...

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1st IEEE International Conference on Smart Power Control and Renewable Energy, ICSPCRE 2024

作者： Hossain, Md. Sabbir Shovon, Sazzadul Islam Islam Shayon, Md. Siamul Rumpa, Ummay Khadiza Hasan, Mahamudul Reza, Ahmed Wasif East West University Department of Computer Science and Engineering Dhaka Bangladesh Central Michigan University Department of Information System MI United States

ISBN: (纸本)9798350377002

Given the rising cost of power and growing environmental concerns, optimizing energy utilization in manufacturing workshops has become increasingly significant. However, conventional approaches often neglect the potential for cost reduction within the power segment. This study proposes a linear programming model specifically designed for optimizing electrical costs. By strategically shifting production to off-peak hours, the model aims to minimize electricity costs while adhering to time constraints. A case study illustrates that this approach can achieve significant cost reductions and contribute to environmental sustainability by reducing greenhouse gas emissions during peak periods. Energy-aware planning is a crucial concept for achieving better utilization of resources and improving the quality of life in modern cities. This research represents a valuable step towards economical production and dependable environmental stewardship within the manufacturing industry. © 2024 IEEE.

关键词： Clean energy

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Smart Home Automation system controlling Through computer Vision 2

Smart Home Automation System controlling Through Computer Vi...

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2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things, AIBThings 2024

作者： Hossain, Md. Sabbir Rumpa, Ummay Khadiza Sharma, Shatabdi Rashid, Mamunur Rahman, Habibur Shovon, Sazzadul Islam East West University Department of Computer Science and Engineering Dhaka Bangladesh Central Michigan University Department of Information System MI United States

ISBN: (纸本)9798331529529

We are dwelling in the golden age of science development. Smart domestic automation has now ended up in the middle of enchantment in the lookup field. The guide machine of switching every so often motives an excessive strength loss. Keeping that in mind, we tried to make a computerized domestic which will now not require any remote, Bluetooth, or any kind of controlling device. In this paper, we have introduced a benchmark contrast of current some hardware the usage of the equal algorithm. For that, we tried to use some sensors, haar cascade documents, and some OpenCV codes for our design. After doing some processes we have chosen a layout that is convenient. In our chosen layout we tend to use a camera, laptop, ARDUINO and made human detection feasible the use of laptop vision. Through the digital camera, rooms are being monitored always, and from that actual time, the image processing presence of human beings is being determined by using the machine automatically. Finally, the microcontroller triggers in accordance with the decision, when it no longer locates any human in the room, it turns the lights, followers, off and on the opposite, it turns the lights, followers, on. © 2024 IEEE.

关键词： Microcontrollers

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Research on Adversarial Sample Attack Defense Methods for Speech Recognition 7

Research on Adversarial Sample Attack Defense Methods for Sp...

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7th International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2024

作者： He, Chunlan Bi, Yujian Liu, Xingwei Wang, Qi Sun, Hong School of Computer and Software Engineering Xihua University Chengdu China Chengdu Jiuzhou Electronic Information System Co. Ltd Chengdu China

ISBN: (纸本)9798350350890

Recently, deep learning has achieved significant success in various fields such as image classification, speech recognition, and natural language understanding. However, the security issues associated with deep learning are becoming increasingly apparent, particularly the challenges posed byad-versarial sample attacks. These attacks, which are both covert and potentially harmful, pose substantial security threats to deep learning models. In response to this, we propose a novel defense method against adversarial sample attacks tailored for speech recognition. This method involves constructing an audio reconstruction model that restores adversarial speech samples back to their normal state. The model incorporates an im-proved Wavenet residual network structure based on dilated convolutions, and utilizes Mel Frequency Cepstral Coefficients to enhance audio reconstruction. Experimental results indicate that the proposed audio reconstruction model exhibits superior reconstruction capabilities, effectively restoring and defending against various adversarial sample attacks. © 2024 IEEE.

关键词： Adversarial Defense Adversarial Speech Samples Audio Reconstruction Deep Learning Mel Frequency Cepstral Coefficients

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Deployment of Polar Codes for Mission-Critical Machine-Type Communication Over Wireless Networks

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computers, Materials & Continua 2022年第4期71卷 573-592页

作者： Najib Ahmed Mohammed Ali Mohammed Mansoor Rodina Binti Ahmad Saaidal Razalli Bin Azzuhri Department of Software Engineering Faculty of Computer Science and Information TechnologyUniversity of Malaya50603Kuala Lumpur Malaysia 2Department of Computer System&TechnologyFaculty of Computer Science and Information TechnologyUniversity of Malaya50603Kuala LumpurMalaysia

Mission critical Machine-type Communication(mcMTC),also referred to as Ultra-reliable Low Latency Communication(URLLC),has become a research *** is primarily characterized by communication that provides ultra-high reliability and very low latency to concurrently transmit short commands to a massive number of connected *** the reduction in physical(PHY)layer overhead and improvement in channel coding techniques are pivotal in reducing latency and improving reliability,the current wireless standards dedicated to support mcMTC rely heavily on adopting the bottom layers of general-purpose wireless standards and customizing only the upper *** mcMTC has a significant technical impact on the design of all layers of the communication protocol *** this paper,an innovative bottom-up approach has been proposed for mcMTC applications through PHY layer targeted at improving the transmission reliability by implementing ultra-reliable channel coding scheme in the PHY layer of IEEE 802.11a standard bearing in mind short packet transmission *** achieve this aim,we analyzed and compared the channel coding performance of convolutional codes(CCs),low-density parity-check(LDPC)codes,and polar codes in wireless network on the condition of short data packet *** Viterbi decoding algorithm(VA),logarithmic belief propagation(Log-BP)algorithm,and cyclic redundancy check(CRC)successive cancellation list(SCL)(CRC-SCL)decoding algorithm were adopted to CC,LDPC codes,and polar codes,***,a new PHY layer for mcMTC has been *** reliability of the proposed approach has been validated by simulation in terms of Bit error rate(BER)and packet error rate(PER)***-to-noise ratio(SNR).The simulation results demonstrate that the reliability of IEEE 802.11a standard has been significantly improved to be at PER=10−5 or even better with the implementation of polar *** results also show that the general-purpose wireless net

关键词： Machine-type communication mission-critical applications MTC URLLC M2M wireless networks polar codes

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Dynamical system in Wavelet Chaotic Neuron with Delay and Its Application in Color Image Encryption 41

Dynamical System in Wavelet Chaotic Neuron with Delay and It...

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第41届中国控制会议

作者： Yaoqun Xu Xinxin Zhen Zhenhua Yang School of Computer and Information Engineering Harbin University of Commerce Institute of System Engineering Harbin University of Commerce

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Wavelet chaotic neuron combines Gauss wavelet function and Sigmoid function as non-monotonic excitation function.A new wavelet chaotic neuron with delay is proposed based on wavelet chaotic *** effect of different parameters on chaotic dynamics of neuron are analyzed by using bifurcation *** sensitivity and randomness of time series generated by wavelet chaotic neuron with delay are analyzed.A color image encryption algorithm based on wavelet chaotic neuron with delay is *** security of the proposed encryption algorithm is *** the experimental results,we can see the chaotic sequences generated by wavelet chaotic neuron with delay are feasible and effective in encryption.

关键词： Wavelet chaotic neuron with delay Dynamical behavior Image encryption Security analysis

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Interference Suppression and Jitter Elimination Ability-Based Adaption Tracking Guidance for Robotic Fishes

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 126-137页

作者： Dongfang Li Jie Huang Rob Law Xin Xu Limin Zhu Edmond Q.Wu IEEE the School of Electrical Engineering and Automation Fuzhou University the Key Laboratory of System Control and Information Processing Ministry of Education the School of Electrical Engineering and Automation Fuzhou University 5G+Industrial Internet Institute Fuzhou University the University of Macau the College of Mechatronics and Automation National University of Defense Technology the School of Mechanical Engineering Shanghai Jiao Tong University the Department of Computer Science and Engineering Shanghai Jiao Tong University

This work presents an adaptive tracking guidance method for robotic fishes. The scheme enables robots to suppress external interference and eliminate motion jitter. An adaptive integral surge line-of-sight guidance rule is designed to eliminate dynamics interference and sideslip issues. Limited-time yaw and surge speed observers are reported to fit disturbance variables in the model. The approximation values can compensate for the system's control input and improve the robots' tracking ***, this work develops a terminal sliding mode controller and third-order differential processor to determine the rotational torque and reduce the robots' run jitter. Then, Lyapunov's theory proves the uniform ultimate boundedness of the proposed method. Simulation and physical experiments confirm that the technology improves the tracking error convergence speed and stability of robotic fishes.

关键词： Adaptive integral surge line-of-sight approximation robotic fish speed observer

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Benefit Allocation of Maize Industrial Chain Coalition Based on Modified Shapley Value 41

Benefit Allocation of Maize Industrial Chain Coalition Based...

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第41届中国控制会议

作者： Yaoqun Xu Yi Zheng Yinglong Xin School of Computer and Information Engineering Harbin University of Commerce Institute of System Engineering Harbin University of Commerce

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

It is important to fairly allocate revenue to promote the integrated development of the whole industrial chain of agricultural products and to promote the sustainable and healthy development of the agricultural *** paper investigates the maize industry chain,which is composed of farmers-processors-logistics enterprises as the object,and takes resource contribution,cost degree,risk resistance and ecological devotion into consideration as factors influencing the distribution of *** results show that farmers,as maize producers,are dominant in the maize chain,so their ultimate benefits are higher than those of other *** the improved Shapley method,the benefits can be distributed more fairly and cooperative alliances can be ***,the overall benefits of the maize industry chain are greatest when all the maize industry chain players participate in full cooperation.

关键词： Maize industrial Supply chain Benefit allocation Cooperative game Shapley value

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Stackelberg-Game Computation Offloading Scheme for Parked Vehicle-Assisted VEC and Experiment Analysis

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年第9期9卷 1-12页

作者： Liu, Chunhong Zhao, Mengdi Wang, Huaichen Cheng, Bo Liu, Jialei Yuan, Peiyan Engineering Lab of Intelligence Business & Internet of Things and School of Computer and Information Engineering Henan Normal University Xinxiang China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle and School of Computer Engineering Hubei University of Arts and Science Xiangyang China

Vehicle edge computing (VEC) offers users low-latency and high-reliability services by using computational resources at the network's edge. Nevertheless, because of inadequate infrastructure and limited resources, computation-intensive and delay-sensitive vehicle applications cannot be performed efficiently at the edge. Therefore, several studies have used the idle resources of parked vehicles to assist in computation offloading. In this paper, we propose a parked vehicle-assisted vehicle edge computing architecture considering multi-agent collaboration, including intelligent vehicles and edge servers. Additionally, we propose a framework for a parallel Internet of Vehicles (IoV) utilizing computational experiment. The service provider is assigned the role of owning VEC resources and recruiting parking vehicle resources. The model was constructed by using the resource consumption-service relationship of both offloading parties to ensure service quality. First, a Stackelberg game model was constructed based on the interaction between requesting vehicles and a service provider. The latter was the leader, and the requesting vehicles were the followers. The Nash equilibrium for optimal pricing and offloading allocations was attained and verified, and a distributed gradient-based equilibrium algorithm was designed to solve the Stackelberg game model and obtain the final decision through mutual communication. The method also protects the privacy of participants and respects the willingness of requesting vehicles to offload. Finally, the simulation experiments confirmed that the proposed algorithm can achieve game equilibrium. Furthermore, it outperformed state-of-the-art algorithms in improving the service provider's utility. IEEE

关键词： Vehicles

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