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21st IEEE International Conference on Mechatronics and Automation (IEEE ICMA)

作者： Xiao, Yuanyuan Guo, Xin Li, Zengyong Hebei Univ Technol Sch Artificial Intelligence & Data Sci Tianjin Peoples R China Minist Educ Engn Res Ctr Intelligent Rehabil Device & Detect Tianjin Peoples R China Qinhuangdao Res Inst Natl Rehabil Aids Res Ctr Qinhuangdao Hebei Peoples R China Natl Res Ctr Rehabil Aids Beijing Peoples R China

ISBN: (纸本)9798350388084;9798350388077

Transcranial electrical stimulation refers to the transmission of weak electrical currents to the brain through scalp electrodes to induce neuromodulatory effects. Current usually passes through two large electrodes, generating a diffusion electric field. In this article, we propose a new paradigm where multiple small electrodes with independent current control are systematically optimized to generate targeted and effective stimuli under safety constraints. We used finite element method combined with a model based on human head magnetic resonance imaging to develop a linear system that correlates the applied scalp current with the generated electric field. Then apply optimization techniques to derive yield increasing parameters that maximize intensity or focus at the target location. The results indicate that the optimal electrode structure is closely related to the required electric field orientation and optimization criteria. The two optimization methods used have achieved good results.

关键词： Transcranial electrical stimulation real head model electric field simulation algorithm optimization

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Research on Supermarket Vegetable Product Management based on Time Series and optimization Models 2

Research on Supermarket Vegetable Product Management based o...

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2nd IEEE International Conference on Integrated Circuits and Communication Systems, ICICACS 2024

作者： Zhu, Julie Li, Peijie Zhu, Chenjia Shanxi University of Finance and Economics Faculty of International Trade Shanxi Taiyuan China Shanxi University of Finance and Economics School of Business Administration Shanxi Taiyuan China

ISBN: (纸本)9798350317558

To address the diverse challenges faced by supermarkets in managing vegetable products, such as accurately predicting sales trends and formulating suitable pricing strategies, this study employs techniques like ARIMA seasonal decomposition and grey correlation analysis for sales data forecasting. These methods have the potential to enhance sales revenue, reduce inventory costs, and improve customer satisfaction for supermarkets. Furthermore, the paper establishes ARIMA-based pricing optimization models and utilizes genetic algorithms to optimize restocking plans. The implemented strategies are geared towards addressing various challenges inherent in the management of vegetable products. These challenges encompass the vital need for precise prediction of sales trends and the development of well-founded pricing strategies. The paper concludes by subjecting these strategies to a meticulous examination, conducting an in-depth analysis of the data to assess their effectiveness. Through its findings, the research significantly contributes to the enhancement of business outcomes in vegetable product management for supermarkets, thereby reinforcing their pivotal role in the contemporary economy. Supermarkets can enhance performance and adapt to changing consumer needs by employing advanced forecasting techniques and optimization algorithms in the modern marketplace. © 2024 IEEE.

关键词： algorithm optimization Correlation Analysis Mixed-Integer Programming Time Series

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DECISION-MODELS FOR AIDING FMS SCHEDULING AND CONTROL

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IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS 1988年第5期18卷 744-756页

作者： AMMONS, JC GOVINDARAJ, T MITCHELL, CM GEORGIA INST TECHNOL CTR HUMAN MACHINE SYST RESATLANTAGA 30332

Control of flexible manufacturing systems (FMS) requires the complex interaction of two components: (1) computers to perform automated control and routing activities, and (2) humans to supervise the automation, to monitor system flows and outputs, and to intervene to diagnose and either correct or compensate for unanticipated events. Current academic FMS scheduling research has focused mainly on the first component in the control loop, development of scheduling algorithms for optimization and control. Here, the second component is included in both the definition of the FMS control problem and the corresponding control approach. A more realistic definition of the FMS control environment is presented using a supervisory control framework. Within this context, the concept of aiding a human operator who supervises the predominantly automated FMS operations is developed.

关键词： algorithm optimization Supervisory control Decision Modeling Automation Scheduling algorithms

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Speeding-up convolutional neural networks: A survey

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BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES 2018年第6期66卷 799-811页

作者： Lebedev, V Lempitsky, V Skolkovo Insitute Sci & Technol Moscow Russia Yandex Moscow Russia

Convolutional neural networks (CNN) have become ubiquitous in computer vision as well as several other domains, but the sheer size of the modern CNNs means that for the majority of practical applications, a significant speed up and compression are often required. Speeding-up CNNs therefore have become a very active area of research with multiple diverse research directions pursued by many groups in academia and industry. In this short survey, we cover several research directions for speeding up CNNs that have become popular recently. Specifically, we cover approaches based on tensor decompositions, weight quantization, weight pruning, and teacher-student approaches. We also review CNN architectures designed for optimal speed and briefly consider automatic architecture search.

关键词： convolutional neural networks resource-efficient computation algorithm optimization

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On fast running max-min filtering

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING 1997年第8期44卷 660-663页

作者： Coltuc, D Pitas, I UNIV THESSALONIKI DEPT INFORMATGR-54006 THESSALONIKIGREECE

The problem of fast running max/min filters for arbitrary-size windows is addressed, The size of the filter window is increased to the least power of two greater than the given size and, the input sequence is expanded, The running max/min computation uses a fast algorithm for power of two window sizes, The computational complexity (comparisons per sample) of the proposed algorithm is very close to log(2)n, where n is the size of the given window, A flexible hardware implementation for n ranging between two consecutive powers of two is discussed.

关键词： algorithm optimization fast algorithms max-min filtering

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Nested Wave Function Collapse Enables Large-Scale Content Generation

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IEEE TRANSACTIONS ON GAMES 2024年第4期16卷 892-902页

作者： Nie, Yuhe Zheng, Shaoming Zhuang, Zhan Togelius, Julian NYU Dept Comp Sci Game Innovat Lab Brooklyn NY 11201 USA Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England Southern Univ Sci & Technol Dept Comp Sci & Engn Shenzhen 518055 Peoples R China

The Wave Function Collapse (WFC) algorithm is a widely used tile-based algorithm in procedural content generation, including textures, objects, and scenes. However, the current WFC algorithm and related optimized algorithms based on it lack the ability to generate commercial-scale or infinite content due to constraint conflicts and high time complexity. This article proposes the Nested WFC algorithm framework to reduce time complexity. To avoid conflict and backtracking problems, we offer a complete and subcomplete tileset preparation strategy, which requires only a small number of tiles to generate infinite, aperiodic, and deterministic content. We use Mario and Carcassonne as two game examples to describe their application and discuss potential research value. Our contribution addresses WFC's challenge in massive content generation and provides a theoretical basis for implementing concrete games.

关键词： Games Wave functions Backtracking Time complexity Three-dimensional displays Task analysis Indexes algorithm optimization constraint satisfaction problem procedural content generation (PCG) tessellation Wave Function Collapse (WFC)

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Improved Quantum algorithm: A Crucial Stepping Stone in Quantum-Powered Drug Discovery

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JOURNAL OF ELECTRONIC MATERIALS 2024年第5期54卷 3434-3443页

作者： Bikku, Thulasi Malligunta, Kiran Kumar Thota, Srinivasarao Surapaneni, Phani Praveen Amrita Vishwa Vidyapeetham Amrita Sch Comp Amaravati Dept Comp Sci & Engn Amaravati 522503 Andhra Pradesh India Koneru Lakshmaiah Educ Fdn Dept Elect & Elect Engn Vaddeswaram 522302 AP India Amrita Vishwa Vidyapeetham Amrita Sch Phys Sci Dept Math Amaravati 522503 Andhra Pradesh India PVP Siddhartha Inst Technol Dept Comp Sci & Engn Vijayawada 520007 Andhra Pradesh India

Quantum algorithms which were derived from quantum mechanics principles are further revolutionizing this process with their potential for detailed simulation of molecular interactions. Highly notable observations can be made by delving into quantum chemistry and molecular dynamics, which facilitates the identification of suitable candidates for drug synthesis. This capability enables the identification of potential drug candidates with greater efficiency and accuracy. The critical challenges that must be addressed to realize the potential of quantum computing in drug discovery are suppression of noise due to the susceptibility of quantum structures, enhancing the scalability of tests, and design optimization for complex algorithms. These requirements necessitate the design and implementation of improved quantum algorithms with guaranteed positive computational consistency. This will empower precise simulations of molecular interactions, establishing the groundwork for more sophisticated, world-class, and selective drug discovery methodologies. The proposed quantum algorithm model was tested with PubChem, BindingDB, Tox21, and Maximum Unbiased Validation (MUV) datasets. The performance was compared to existing machine learning algorithms in terms of accuracy, precision, recall, F1 score, qubit fidelity, quantum volume, measurement time, error rate, success rate, scalability, variational quantum eigensolver convergence, entanglement entropy, resource requirements, chemical accuracy, and parallelism, which improved outcomes in most of the parameters. The experimental study shows the transformative potential of integrating quantum algorithms in the pharmaceutical industry, paving the way for the development of more effective and targeted therapeutic solutions.

关键词： Quantum computing drug discovery noise mitigation scalability algorithm optimization

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Steady-state and dynamic control of hydrocracking tail oil distillation process for high-valued products

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ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING 2024年第4期19卷 e3079-e3079页

作者： Li, Min Liu, Wenzhi Gao, Yan Huang, Zhuocheng Li, Gaoyang Pan, Hui Ling, Hao East China Univ Sci & Technol State Key Lab Chem Engn Sch Chem Engn Shanghai 200237 Peoples R China Shanghai Univ Elect Power Coll Environm & Chem Engn Shanghai Key Lab Mat Protect & Adv Mat Elect Power Shanghai 200090 Peoples R China

The maximum utilization of hydrocracking tail oil becomes increasingly important for petrochemical industry. The aim of this work is to develop optimized distillation processes to achieve various high-valued qualified oil products from hydrocracking tail oil. Six different oil products is produced and the steady-state distillation process, which aims to fractionate six qualified narrow distillates is established. The algorithm method incorporating divided-wall column (DWC) configuration was introduced into the steady-state design. Compared with traditional separation sequences, the DWC configuration leads to an energy-saving potential up to 11.17%. Furthermore, effective dynamic control strategies were proposed, demonstrating precise and efficient control performance. In the presence of a 15% feed disturbance, the dynamic control structure is capable of maintaining the product distillation range near the set value. This comprehensive study provides a thorough investigation into the efficient utilization of hydrocracking tail oil, establishing a robust theoretical foundation for its industrial application.

关键词： algorithm optimization dynamic simulation hydrocracking tail oil steady-state simulation

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A 660-μW 50-Mops 1-V DSP for a hearing aid chip set

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IEEE JOURNAL OF SOLID-STATE CIRCUITS 2000年第11期35卷 1705-1712页

作者： Mosch, P van Oerle, G Menzl, S Rougnon-Glasson, N Van Nieuwenhove, K Wezelenburg, M Phonak AG CH-8712 Stafa Switzerland Frontier Design CH-3001 Bern Switzerland

This article presents the flow and techniques used to design a low-power digital signal processor chip used in a hearing aid system implementing multiband compression in 20 bands, pattern recognition, adaptive filtering, and finescale noise cancellation. The pad limited 20 mm(2) chip contains 1.3 M transistors and operates at 2.5 MHz under 1.05-V supply voltage, Under these conditions, the DSP consumes 660 muW and performs 50 million 22-bit operations per second, therefore achieving 0.013 mW/Mops (milliwatts per million operations), which is a factor of seven better than prior results achieved in this field. The chip has been manufactured using a 0.25-mum 5-metal 1-poly process with normal threshold voltages. This low-power application-specific integrated circuit (ASIC) relies on an automated algorithm to silicon flow, low-voltage operation, massive clock gating, LP/LV libraries, and low-power-oriented architectural choices.

关键词： algorithm optimization digital signal processing gated clock techniques low power design.

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A Reconfigurable Metasurface Enhancing Signal Coverage for Wireless Communication Using Reduced Numbers of p-i-n Diodes

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IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES 2024年第3期72卷 1964-1978页

作者： Xue, Hao Lu, Zeqing Ma, Xiangjin Wang, Zhiding Zhu, Lihao Yue, Shuyao Han, Jiaqi Liu, Haixia Li, Long Xidian Univ Sch Elect Engn Key Lab High Speed Circuit Design & EMC Minist Educ Xian 710071 Peoples R China

This article proposes a reflective reconfigurable metasurface design that can reduce the number of p-i-n diodes required by up to 60% for enhancing wireless communication signal coverage. The metasurface is also optimized from two aspects of element and array and can achieve enhanced signal coverage in a variety of regions, which proposes a low-cost general-purpose scheme and device. The reconfigurable element with a relative bandwidth of 8.2% is designed in a "subarray" form to reduce the p-i-n diode loading by half, and the array is sparsely designed, resulting in a further reduction of 20%. The genetic algorithm (GA) optimization method suitable for the digital coding metasurface is proposed to optimize the element's phase discretization scheme and the array's sparse method. The proposed metasurface is loaded in familiar T-shaped corridor models, and the coverage enhancement is verified based on the co-simulation of different software, showing the device can be applied in different scenes. For the first time, systematic measurement in a realistic environment using a reconfigurable metasurface with a reduced number of p-i-n diodes is performed, which proves that it can achieve signal coverage improvement in the corridor and in the actual 5G communication environment. The results indicate that this design greatly reduces system complexity and cost, which can be compatible with existing communication optimization methods, providing a practical, scalable scheme and device for enhancing signal coverage in various scenes.

关键词： & nbsp algorithm optimization low diode loading ratio low-cost general-purpose scheme reflective reconfigurable meta-surface signal coverage wireless propagation measurements

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