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Heating energy consumption prediction based on improved GA-BP neural network model

Energy 2025年 328卷

作者： Jie, Pengfei Zhou, Yuan Zhang, Zhijie Wei, Fengjun School of Mechanical Engineering Beijing Institute of Petrochemical Technology Beijing102617 China China Construction Carbon Technology Co. Ltd. Beijing 100176 China Engineering and Technology R&D Center of Clean Air Conditioning in Colleges of Shandong Shandong Huayu University of Technology Dezhou253000 China

An improved genetic algorithm-back propagation (GA-BP) neural network model with fixed seeds, reasonable training sample size (TSS) and total number of nodes in hidden layer (TNNHL), as well as metabolism was established to predict heating energy consumption, thereby optimizing district heating (dH) operating strategies. Error variance, mean absolute percentage error (MAPE), and coefficient of determination (r2) were used as evaluation indicators. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and entropy weight methods were employed to comprehensively evaluate the prediction accuracy and acquire the optimal combination of TSS and TNNHL. A dH system in Beijing, China was used as the case study. results show that the prediction results under fixed seeds are better and more stable compared with random initialization. Error variance, MAPE, and r2 vary between 0.0016 and 0.0202, 2.43% and 5.18%, and 0.590 and 0.967, respectively, when TSS and TNNHL change from 2 to 9 and 2 to 14, respectively. Error variance is positively correlated with MAPE and negatively correlated with r2. When TSS and TNNHL are both 2, the best prediction accuracy can be obtained, with error variance, MAPE, and r2 of 0.0016, 2.43%, and 0.967, respectively, verifying the accuracy of the proposed model. © 2025 Elsevier Ltd

关键词： Genetic algorithms

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The Improved Sparger Enhances Bioleaching of Arsenic-Bearing Gold Concentrate in a Stirred Tank

SSRN

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SSrN 2025年

作者： Lei, Zheng Jiayu, Xin Changliu, He Aijun, Zhang ranting, Tao Xu, Zhang Beijing Key Lab of Bioprocess National Energy R&D Center for Biorefinery College of Life Science and Technology Beijing University of Chemical Technology Beijing China College of Mechanical and Electrical Engineering Beijing University of Chemical Technology Beijing China Analysis and Test Center Beijing University of Chemical Technology Beijing China

Bioleaching is often used for low-grade ores, mixed-strain leaching can be affected by factors like temperature and substrates. This research compared the coorperative leaching effects of mesophilic and thermophilic strains, including Leptospirillum ferrooxidans(L.f), Acidithiobacillus caldus(A.c), and Sulfobacillus thermosulfidooxidans(S.t). An efficient strain combination of (L.f+A.c): S.t = 1:1 was determined and large-scale fermenter experiments were conducted to optimize parameters. Subsequently, the original sparger was replaced with a nano-aeration pipe(NAP) to investigate its impact on dissolved oxygen and leaching effect. The arsenic leaching rates of different spargers were compared. The results showed that NAP significantly increased the OUr and kLa of the microorganisms in the reaction system. From the experimental results, the leaching efficiency was increased by 3.61% and the daily energy consumption was reduced by 1.59%. Comparing the dissolved oxygen levels, it was found that the dissolved oxygen content of NAP remained stable, while that of the original sparger showed a significant decrease in the early stage. On the 8th day of leaching, the dissolved oxygen level of the improved sparger was 2.87% higher than that of the original sparger. Scanning electron microscopy also confirmed that NAP enhanced microbial leaching. This study not only improves leaching efficiency and demonstrates certain economic value but also provides a new perspective for the optimization of stirred-tank technology in bioleaching. © 2025, The Authors. All rights reserved.

关键词： Gold deposits

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FedCSpc: A Cross-Silo Federated Learning System with Error-Bounded Lossy Parameter Compression

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IEEE Transactions on Parallel and distributed Systems 2025年第7期36卷 1372-1386页

作者： Zhang, Zhaorui di, Sheng Zhao, Kai Jin, Sian Tao, dingwen Ji, Zhuoran Liu, Benben Alharthi, Khalid Ayed Cao, Jiannong Cappello, Franck The Hong Kong Polytechnic University Department of Computing Hong Kong Florida State University Department of Computer Science United States Temple University Department of Computer and Information Sciences United States Indiana University Bloomington Luddy School of Informatics Computing and Engineering United States Shandong University School of Cyber Science and Technology China The University of Hong Kong LSCM R&D Center Hong Kong University of Bisha Department of Computer Science College Of Computing And Information Technology Saudi Arabia Argonne National Laboratory United States

Cross-Silo federated learning is widely used for scaling deep neural network (dNN) training over data silos from different locations worldwide while guaranteeing data privacy. Communication has been identified as the main bottleneck when training large-scale models due to large-volume model parameters and gradient transmission across public networks with limited bandwidth. Most previous works focus on gradient compression, while limited work tries to compress parameters that can not be ignored and extremely affect communication performance during the training. To bridge this gap, we propose FedCSpc: an efficient cross-silo federated learning system with an XAI-driven adaptive parameter compression strategy for large-scale model training. Our work substantially differs from existing gradient compression techniques due to the distinct data features of gradient and parameter. The key contributions of this paper are fourfold. (1) Our designed FedCSpc proposes to compress the parameter during the training using the state-of-the-art error-bounded lossy compressor – SZ3. (2) We develop an adaptive compression error bound adjustment algorithm to guarantee the model accuracy effectively. (3) We exploit an efficient approach to utilize the idle CPU resources of clients to compress the parameters. (4) We perform a comprehensive evaluation with a wide range of models and benchmarks on a GPU cluster with 65 GPUs. results show that FedCSpc can achieve the same model accuracy as FedAvg while reducing the data volume of parameters and gradients in communication by up to 7.39× and 288×, respectively. With 32 clients on a 4Gb size model, FedCSpc significantly outperforms FedAvg in wall-clock time in the emulated WAN environment (at the bandwidth of 1 Gbps or lower without loss of generality). © 1990-2012 IEEE.

关键词： Bandwidth compression

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Proposed Integrated Control Mechanisms Between Computing and Network resources by Online Monitoring

Proposed Integrated Control Mechanisms Between Computing and...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Yuuki Hatanaka Tetsuya Yokotani Takeshi Suehiro Kenichi Nakura Shigenori Tani Seiji Kozaki Atsuko Yokotani Hiroshi Mineno Graduate School of Engineering Kanazawa Institute of Technology Nonoichi Ishikawa Japan Information Technology R&D Center Mitsubishi Electric Corporation Kamakura Kanagawa Japan Communication System Enginnering Center Mitsubishi Electric Corporation Tokyo Japan Graduate School of Science and Technology Shizuoka University Hamamatsu Shizuoka Japan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

In the IoT mature stage, a huge number of devices are deployed in various fields. Particularly, in consumer electronics fields, various purpose devices are deployed, e.g., for energy management, crime prevention, monitoring home electric appliances, etc. In this situation, these devices are associated with servers through heterogenous networks. Conventionally, the architectures for distribution processing have been discussed actively. e.g., Common Object request Broker Architecture (COrBA). However, these architectures did not consider transfer network types and their resources. This paper proposes the architecture of resource management, considering networking and computing resources to connect massive number of devices and servers. It proposes a framework of the architecture and mechanisms for enabling architecture. Then, it describes a use case based on this architecture, and discusses its implementation.

关键词： Wide area networks Computer architecture Traffic control resource management Servers Internet of Things Monitoring Consumer electronics Thermal stability Centralized control

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257 W/cm2 power-density laser-driven white-light source for high-speed inspection in semiconductor packaging

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Optics and Lasers in engineering 2025年 191卷

作者： Won, Seungjai Kim, Taewon Ji, Wonsoo Jung, Sejin Kim, Seung-Woo Kim, Young-Jin Department of Mechanical Engineering Korea Advanced Institute of Science and Technology 291 Daehak-ro Daejeon Korea Republic of Solution R&D Center Envision Co. Ltd 98 Gasan digital 2-ro Seoul Geumcheon-gu Korea Republic of

The demand for high-power-density white-light sources has been increased for high-speed inspection of semiconductor and display products. However, focusing the conventional halogen lamps or light-emitting diodes (LEds) remains challenging due to the large emission area at the light sources, which is governed by the étendue limit. Here, we report a high-power-density light illumination of the laser-driven white-light with a small focal spot size of 25 μm. By using a laser diode (Ld) instead of an LEd, the strong optical power can be concentrated on to the phosphor in a small spot size near the diffraction limit, enabling the emission of low-étendue luminescence. The blue Ld pump (λ=445 nm) and broad yellow luminescence (λ=480–750 nm) were focused together on to the sample with a small spot diameter of 25 μm (full width at half maximum, FWHM), producing a record-high power-density of 257 W/cm2. The speckle constants of the blue Ld, yellow luminescent light, and combined white-light after passing through the diffuser plate were carefully evaluated to 0.28, 0.02, and 0.14, respectively. Furthermore, the power scalability was demonstrated by spatially combining the independently generated white-light sources, which did not show any noticeable coherent speckle increase. This tightly-focusable laser-driven white-light will find its strong potential in next-generation high-speed inspection of advanced semiconductor packaging. © 2025

关键词： Semiconductor lasers

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Advancing giga-strength and high-modulus aluminum matrix composites via nitrogen-induced self-forming process

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Journal of Materials research and technology 2025年 36卷 8876-8894页

作者： Kanhu C. Nayak Se-Hoon Kim Jin-Won Lee donghyun Bae Jae-Pyong Ahn Kon-Bae Lee Hyun-Joo Choi Department of Materials Science and Engineering Kookmin University Seoul 02707 Republic of Korea Advanced Materials R&D Department Korea Automotive Technology Institute (KATECH) Cheonan 31214 Republic of Korea Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea Data Center Korea Institute of Science and Technology (KIST) Seoul 02792 Republic of Korea

Giga-strength Al/SiC composites with exceptional strength (>1 GPa) and stiffness (>200 GPa), yet low density (<3.0 g/cm 3 ), are produced through a simple yet transformative process that utilizes nitrogen's critical influence on the matrix-reinforcement interface, known as Nitrogen-Induced Self-Forming Aluminum Composites (NISFAC). The Al matrix, reinforced with 20–50 vol% microsized SiC particles, exhibited significant enhancements of mechanical properties, with a 471.93 % increase in compressive strength and a 189.33 % improvement in Young's modulus compared to monolithic aluminum. These improvements are attributed to the formation of aluminum nitride (AlN) and aluminum oxynitride (Al(O)N), which originate on the Al powder surface and integrate into the matrix and Al–SiC interface during the nitrogen-induced self-sintering process. detailed microstructural analysis revealed the critical role of these phases in load transfer from the matrix to the reinforcement. Mechanistic insights and novel predictive models further validated the contributions of reinforcements to the yield strength and Young's modulus. The Al/50 %SiC composite achieved compressive strength over 1 GPa and Young's modulus over 200 GPa, highlighting its potential for advanced structural applications.

关键词： Al/SiC composite Nitrogen-induced self-sintering Interface Giga-strength Nanoindentation Strengthening mechanism

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Sustainable catalytic strategies for methyl methacrylate synthesis: Mechanistic-guided design of high-efficiency catalysts

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Materials Today Chemistry 2025年 46卷

作者： Yue, Yifan Wang, Baohe Wang, Aiping Zhu, Qianwen Zhao, Fuying Zhang, Zhaobang Geng, Zhongfeng Ma, Jing Key Laboratory for Green Chemical Technology of Ministry of Education R&D Center for Petrochemical Technology Tianjin University Tianjin300072 China School of Energy and Chemical Engineering Tianjin Renai College Tianjin301636 China Technology Center China Tobacco Henan Industrial Co. Ltd. Zhengzhou450000 China

Methyl methacrylate (MMA) is a significant chemical raw material with various applications. The main industrial production processes are the acetone cyanohydrin (ACH) process and the isobutene process. The former suffers from toxic feedstocks, while the latter highly depends on oil. A viable alternative is using low-toxicity and abundant ethylene or methyl acetate as a raw material. This review examines the development of catalysts in the ethylene (C2) and methyl acetate processes. In these green processes, aldol condensation is a key reaction, which is crucial in organic synthesis for the formation of C–C bonds in carbonyl compounds. However, there is currently no research that systematically reports on the catalysts used in aldol condensation within these processes. Here, we discuss the catalytic mechanism of aldol condensation. Furthermore, the effects of key factors on the acid/base catalysts used in aldol condensation are systematically elucidated, including acid-base cooperative interactions, structural integrity, and active sites distribution. Additionally, the methods that enhance catalytic activity and stability through modification are discussed. We aim to propose a comprehensive paradigm for the rational design and optimization toward sustainable catalytic systems. © 2025 Elsevier Ltd

关键词： Acetone

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Importance of dosing: Analysis of touch-free hand hygiene dispensers for consistency

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American Journal of Infection Control 2025年第6期53卷 696-700页

作者： Smith, Nicole M. Bánsághi, Száva Chen, Nanshan Neal, Travis B. McNulty, John J. Haidegger, Tamás P. Arbogast, James W. R&D Department GOJO Industries Akron OH United States University Research and Innovation Center (EKIK) Obuda University Budapest Hungary Department of Microsystems Faculty of Technology Natural Sciences and Maritime Sciences University of South-Eastern Norway Porsgrunn Norway Department of Integrated Systems Engineering The Ohio State University Columbus OH United States JW Arbogast Advanced Science Consulting LLC Prinicpal Consultant Division Akron OH United States

Background: We investigated 5 touch-free automatic foam alcohol-based handrub (ABHr) hand hygiene dispensers common in US hospitals. Output dosing was evaluated for consistency to comply with the Leapfrog 2022 guidance requirement of ≥ 1.0 mL per ABHr dispense. Methods: Fifteen dispensers and 32 distinct refills were tested, with > 10,000 dispenses analyzed for 5 different dispensing systems. Automated testing used computer programming and mechatronics to activate the dispensers and capture output weights at predetermined delay patterns. Low, medium, and high usage patterns per day were set with dispense delay patterns. In another laboratory, dispensers were activated manually for measurements;50 doses were collected and weighed within an hour for each refill. results: Three of the dispenser systems had mean output > 1.0 mL, and 2 were < 1.0 mL. Two dispensers have significantly greater variability, which is driven by the foam pump design. Conclusions: It was discovered that usage/testing patterns impact dosing performance. The dispenser design and engineering cause significant differences in volume dispensed and consistency across dispenses. Using sufficient ABHr to cover hands completely and keeping hands wet long enough to significantly reduce pathogens is an important requirement. Facilities should assess ABHr dispenser outputs and consider consistent dosing as an essential performance criterion for effective hand hygiene policies and practices. © 2025 Association for Professionals in Infection Control and Epidemiology, Inc.

关键词： Alcohol-based handrubs dispenser quality

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Formation of electron-deficient Ni in a Nb/NiFe-layered double hydroxide nanoarray via electrochemical activation for efficient water oxidation

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Nanoscale 2025年第13期17卷 7825-7829页

作者： Boyu ding Zheheng Jiang Xinlong Guo Shukai Wen Kairui Wang Shihang Li Yongqiang Yang Qihao Sha Bo Li Liang Luo Zhaowang dan Yaping Li Xiaoming Sun State Key Laboratory of Chemical Resource Engineering College of Chemistry Beijing University of Chemical Technology Beijing 100029 China. sunxm@***. Ocean Hydrogen Energy R&D Center Research Institute of Tsinghua University in Shenzhen Shenzhen 518057 China. danzw@***.

The intrinsically sluggish kinetics of the oxygen evolution reaction (OEr) at the anode poses a formidable challenge to the industrial application of water electrolysis, although NiFe-based oxides and hydroxides have emerged as promising anodic candidates. Within this framework, we report the synthesis of Nb-doped NiFe-layered double hydroxides (Nb/NiFe-LdH) a straightforward one-step hydrothermal approach. Notably, Nb doping maintained the structural integrity of the NiFe-LdH framework and it enhanced the valence state of the active Ni species during the electrochemical activation process, which accelerated the concomitant reconstruction kinetics of the LdH phase. As a result, Nb/NiFe-LdH demonstrated a remarkable overpotential of 198 mV to attain a current density of 10 mA cm in an alkaline electrolyte. This work proposes a novel doping strategy for enhancing the performance of OEr electrocatalysts.

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BCdAN: A balanced method for community detection in attributed networks

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Neurocomputing 2025年 644卷

作者： Liu, Yuchen Peng, Yabin Chen, Hongchang Zhang, Jianpeng Li, Shaomei Institute of Information Technology Information Engineering University Henan Zheng Zhou450002 China National Digital Switching System Engineering and Technological R&D Center Henan Zheng Zhou450002 China School of Cyber Science and Engineering Southeast University Jiangsu Nanjing211189 China

Community detection in attribute networks is a fundamental problem in complex network analysis, aiming to identify well-connected communities based on both topology and node attributes. Although numerous methods for community detection in attribute networks have been proposed, they often fail to balance the use of structural and attribute information. In these approaches, attribute information typically plays a dominant role, while higher-order structural information, such as motif structures, is often neglected. To address this issue, we propose a balanced method for community detection in attribute networks (BCdAN). First, for structural information, we construct structural vectors for each node and employ a structure autoencoder to learn the nodes’ structural embeddings. Concurrently, for attribute information, we use an attribute autoencoder and a graph convolution module to jointly learn the nodes’ attribute embeddings, linking the two types of neural networks via a delivery operator. Furthermore, we introduce a self-supervised module that integrates both structural and attribute information from the target distribution to guide iterative updates of the model, thereby facilitating the community detection task. This approach enables a balanced utilization of both attribute and structural information, improving the identification of community features in attribute networks. Extensive experimental results demonstrate that BCdAN outperforms most baseline algorithms. © 2025 Elsevier B.V.

关键词： Graph neural networks

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