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共 15474 条记录，以下是211-220 订阅

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Data Entry Errors Detection for Industrial Quality control Variables Using Data-Driven Models 16th

Data Entry Errors Detection for Industrial Quality Control ...

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16th APCA international conference on automatic control and Soft computing, controlO 2024

作者： Salles, Rodrigo Leiria, Joana Mendes, Jérôme Institute of Systems and Robotics ARISE University of Coimbra Coimbra Portugal CEMMPRE ARISE Department of Mechanical Engineering University of Coimbra Coimbra Portugal

ISBN: (纸本)9783031817236

In modern industrial environments, quality control is imperative for ensuring product reliability and operational efficiency. Despite advancements in automatic data collection and data-driven models for quality processes, certain critical variables still require manual entry due to the branch of activity from which they originate, leading to potential errors from human involvement. This paper focuses on developing and applying two methodologies, Soft Sensors (SS) and Principal Component Analysis (PCA), to detect data entry errors in quality control variables. The developed methodologies were tested across three industrial datasets and the following error types were studied: blank spaces, duplicates, measurement errors, order errors, and extra number errors. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Model predictive control

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Comparative Analysis of Different control Strategies for Enhancing the Performance of automatic Voltage Regulator

Comparative Analysis of Different Control Strategies for Enh...

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international conference on electrical, Computer and Communication engineering (ECCE)

作者： Md Rezaul Karim Shoaib Rufsun Rakibul Hasan Hasan Monir Sunjida Sultana Department of Electrical Electronic and Communication Engineering Military Institute of Science and Technology Dhaka Bangladesh

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

In modern power systems, optimized automatic Voltage Regulators (AVRs) in synchronous machines has a crucial role to maintain voltage stability, to increase efficiency and to assure reliability. In optimizing the dynamic load changes and system parameters, previous studies have largely limited themselves to conventional methods. In this study, classical Proportional Integral Derivative (PID), fuzzy PID control and Genetic Algorithm (GA) techniques are integrated into an AVR model to analyze their output responses in the system. A detailed comparison of these methods basing on trial and error is illustrated where the findings show that the GA outperforms traditional methods by achieving improved control matrix and optimal performance.

关键词： PI control Regulators Power system dynamics Power system stability Stability analysis PD control Synchronous machines Optimization Tuning Genetic algorithms

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Adaptive Particle Swarm Optimization-Based Tuning of Fractional Order PID for Moisture control in an Industrial Rotary Dryer System 11th

Adaptive Particle Swarm Optimization-Based Tuning of Fractio...

引用

11th EAI international conference on Advancement of science and Technology, ICAST 2023

作者： Bosera, Adisu Safo Sori, Raji Ababe Bayesa, Ashebir Berhanu Department of Electrical Power and Control Engineering Adama Science and Technology University Adama Ethiopia

ISBN: (纸本)9783031641503

In this paper, a dynamic model of an industrial rotary dryer was formulated, and the model of the system was linearized using the Jacobian method. Adaptive particle swarm and gray wolf optimization-based tuning of parameters of fractional order proportional, integral, and derivative (FOPID) and conventional Ziegler-Nichols proportional, integral, and derivative (ZN-PID) was assessed with simulation for a solid moisture control rotary dryer system. The main feature of fractional order PID is that it may have a greater degree of freedom compared to conventional PID. Here, particle swarm and gray wolf optimization algorithms will be used for tuning the parameters of the FOPID controller against the kinds of disturbances that exist in this plant. The performance of the controller is compared to that of typical PID and gray wolf optimizer (GWO) tuning of fractional order PID controllers (FOPID). The performance of the developed controller is evaluated by assessing various time domain metrics. Using the application of the PSO-FOPID control, a satisfactory result was obtained with an integral time square error (ITSE) of 0.0032 compared to 0.0039 and 0.0366 in the cases of GWO-FOPID and ZN-FOPID, returning the expected and desired output moisture. In order to determine the robustness of the proposed control system, random linear density of solids and drying air, inlet temperature of solids, inlet moisture of solids, and linear velocity of solids are subjected to the controller. Therefore, from the simulation result, the performance of the PSO-FOPID controller will show good time domain specifications, such as an overshoot of 16.14%, a rise time of 0.1378 s and a settling time of 5.39 s. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Moisture control

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Conversational Explanations: Discussing Explainable AI with Non-AI Experts 25

Conversational Explanations: Discussing Explainable AI with ...

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30th international conference on Intelligent User Interfaces, IUI 2025

作者： Zhang, Tong Zhang, Mengao Low, Wei Yan Yang, X. Jessie Li, Boyang Albert College of Computing and Data Science Nanyang Technological University Singapore Singapore Nanyang Technological University Singapore Singapore College of Engineering University of Michigan Ann ArborMI United States

ISBN: (纸本)9798400713064

Explainable AI (XAI) aims to provide insights into the decisions made by AI models. To date, most XAI approaches provide only one-time, static explanations, which cannot cater to users' diverse knowledge levels and information needs. Conversational explanations have been proposed as an effective method to customize XAI explanations. However, building conversational explanation systems is hindered by the scarcity of training data. Training with synthetic data faces two main challenges: lack of data diversity and hallucination in the generated data. To alleviate these issues, we introduce a repetition penalty to promote data diversity and exploit a hallucination detector to filter out untruthful synthetic conversation turns. We conducted both automatic and human evaluations on the proposed system, fEw-shot Multi-round ConvErsational Explanation (EMCEE). For automatic evaluation, EMCEE achieves relative improvements of 81.6% in BLEU and 80.5% in ROUGE compared to the baselines. EMCEE also mitigates the degeneration of data quality caused by training on synthetic data. In human evaluations (N = 60), EMCEE outperforms baseline models and the control group in improving users' comprehension, acceptance, trust, and collaboration with static explanations by large margins. Through a fine-grained analysis of model responses, we further demonstrate that training on self-generated synthetic data improves the model's ability to generate more truthful and understandable answers, leading to better user interactions. To the best of our knowledge, this is the first conversational explanation method that can answer free-form user questions following static explanations. © 2025 Copyright held by the owner/author(s).

关键词： Data assimilation

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An Integrated IoT and Wireless System for Energy Optimization and Real-Time Monitoring Towards Sustainable and Efficient Building Management in Smart Buildings

An Integrated IoT and Wireless System for Energy Optimizatio...

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2025 international conference on Intelligent control, computing and Communications, IC3 2025

作者： Singh, Someet Malik, Praveen Kumar Chauhan, Ashish Singh Kumar, Manoj Yamsani, Nagendar Singh, Parulpreet School of Electronics and Electrical Engineering Lovely Professional University Punjab Phagwara India Uttaranchal University Uttarakhand Dehradun India Mlr Institute of Technology Department of Electronics and Communication Engineering Hyderabad India School of Computer Science and Artificial Intelligence Sr University Warangal India

ISBN: (纸本)9798331527495

At a time when urbanization is increasing, and the world's energy need is growing, energy efficiency in building elements has become a key factor in the environment impact mitigation and operational cost reduction strategies. Building management is governed by traditional operational features that are often inadequate to contemporary occupation patterns, infrastructural demands, and environmental changes. Consequently, there is a growing tendency towards the implementation of integrated systems such as autonomous management systems which can oversee energy use and other resources without sacrificing comfort and safety. Cloud storage and wireless technologies have now made it possible to improve energy management like never before. By making use of such technologies, smart building systems are able to receive, transmit and monitor data from many networks in real time. This capability further enhances the control of energy-demanding devices and processes such as heating, ventilation, and lighting, which are controlled and manipulated by preset schedules and manual settings. In addition to this, predictive maintenance and detection of inefficiencies is possible due to real time data analysis trends, usage history and anticipation of external consumption forces. © 2025 IEEE.

关键词： Smart homes

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Urban Vertical Farming with IoT and Precision Monitoring for a Sustainable Future

Urban Vertical Farming with IoT and Precision Monitoring for...

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2025 international conference on Intelligent control, computing and Communications, IC3 2025

作者： Unni Krishnn, A. Dutt, Amit Singh, Jay Bhavana, Munugapati Baswaraju, Swathi Mohammed, Baydaa Fathil Venkatraman, Akila Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India Lovely Professional University Phagwara India Gl Bajaj Institute of Technology and Management Dept. of Eee U.P. Gr. Noida India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India New Horizon College of Engineering Department of Computer Science-Data Science Bangalore India College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq Griet Department of Information Technology Bachupally Telangana Hyderabad India

ISBN: (纸本)9798331527495

The fast expansion of population worldwide and urbanisation had been estimated to have 80 % of the population in urban areas in the upcoming 50 years leads to an exponential rise in demand of food. These needs provide an urgent call for developing novel approaches to achieve global food demands amid sustainability problems. Urban Vertical Farming (UVF) offers an attractive solution for growing crops in the vertical dimension of structures, the urban skyscrapers, where land use is limited. However, it is fairly limited research which applies the current state of art in cutting edge technologies such as the Internet of Things, to try to automate and monitor farm processing. Thus, in this review paper, gaps in existing research, the potential for IoT enabled vertical farming, as well as challenges such as energy use, economic feasibility and urban policy integration are examined. Vertical farming can be enhanced through resource efficiency, scalability and level of sustainability through the use of IoT systems and AI driven data analytics which will also help promote urban food security. The research gives a summary of the current state, technological capabilities, and potential way forward in the process of successful vertical farming implementation in urban sets. © 2025 IEEE.

关键词： Food security

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Deep Neural Network Solver for HJB Equations 16th

Deep Neural Network Solver for HJB Equations

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16th APCA international conference on automatic control and Soft computing, controlO 2024

作者： Davey, Ashley Zheng, Harry Department of Mathematics Imperial College LondonSW7 2BZ United Kingdom

ISBN: (纸本)9783031817236

This paper proposes a deep learning algorithm for solving stochastic control problems, with a focus on the utility maximisation problem. The algorithm solves Markovian problems via the Hamilton Jacobi Bellman (HJB) equation. We solve this highly nonlinear partial differential equation (PDE) with a second order backward stochastic differential equation (2BSDE) formulation. The convex structure of the problem allows us to describe a dual problem that can either verify the original primal approach or bypass some of the complexity. We apply the algorithm to problems with power, log and non-HARA utilities in the Black-Scholes model. Numerical experiments show highly accurate results with low computational cost, supporting our proposed algorithm. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Stochastic control systems

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Enhancing the Efficiency of Lead-Less Cs2TiBr6 Solar Cells through Dual Hole Transport Layer Integration 4

Enhancing the Efficiency of Lead-Less Cs2TiBr6 Solar Cells t...

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4th international conference on Power, control and computing Technologies, ICPC2T 2025

作者： Agarwala, Raja Sabbir, Safra Binte Tanim, Mehedi Hasan Kumar, Prince Department of Electrical and Electronic Engineering Hajee Mohammad Danesh Science and Technology University Dinajpur Bangladesh Department of Electrical Engineering National Institute of Technology Silchar India

ISBN: (纸本)9798331530402

The potential of lead-free perovskite solar cells (PSCs) has garnered prominent interest, particularly due to concerns surrounding the toxicity and instability of lead halide compounds. Enhancing the performance of lead-free, ecologically friendly PSCs utilizing the perovskite absorber layer (PAL) Cs2TiBr6, is the goal of this endeavor. This simulation investigation reveals comprehensive findings from particular modeling techniques for PSCs. The proposed study incorporates an innovative dual-hole transport layer (HTL) to enhance the power conversion efficiency (PCE) of the device. The PSC achieves the highest PCE by combining two HTLs, notably Copper Antimony Sulfide (CuSbS2) and Copper Barium Thiostannate (CBTS). The proposed device structure, FTO/TiO2/Cs2TiBr6/CuSbS2/CBTS/Ni, is analyzed using SCAPS-1D simulations to compare and optimize key parameters, including energy band alignment, current-voltage (J-V), and quantum efficiency (QE) properties, absorber and transport layer thickness, parasitic resistances, interface defects, and temperature. Our findings reveal that the dual HTL configuration performs better than previously cited single HTL-based structures. The proposed Cs2TiBr6-based PSC structure improves the device's photovoltaic (PV) parameters, achieving an enhanced open-circuit voltage (Voc) of 1.34 V, a short-circuit current density (Jsc) of 21.28 mA/cm2, and a fill factor (FF) of 86.24%, culminating in PCE of 24.64%. This research demonstrates the efficacy of employing dual HTLs in enhancing the performance and stability of PSCs, providing promising insights for the future advancement of high-efficiency PV devices. © 2025 IEEE.

关键词： Bromine compounds

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Exploring the Influence of Kesterites as Hole Transport Layers in Cs2TiBr6-Based Eco-Friendly Solar Cells 4

Exploring the Influence of Kesterites as Hole Transport Laye...

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4th international conference on Power, control and computing Technologies, ICPC2T 2025

ISBN: (纸本)9798331530402

Lead-free, eco-friendly perovskites have gained significant attention for their non-toxicity, addressing environmental concerns while enhancing the sustainability of photovoltaic (PV) technologies and maintaining high power conversion efficiency (PCE). Through detailed numerical simulations this study investigates the impact of kesterite materials as hole transport layers (HTLs) in perovskite solar cells (PSCs), utilizing Caesium Titanium Bromide (Cs2TiBr6) as the perovskite absorber layer (PAL) and Titanium Dioxide (TiO2) as the electron transport layer (ETL). The objective is to enhance performance, and stability and reach a PCE greater than 25%. Various kesterite compounds, including copper zinc tin selenide (CZTSe), copper manganese tin sulphide (CMTS), copper iron tin sulphide (CFTS), copper nickel tin sulphide (CNTS), copper zinc tin sulphide (CZTS), and copper barium tin sulphide (CBTS), were analyzed to evaluate their effectiveness as HTLs. Using the SCAPS-1D tool, key factors such as band alignment, optimal layer thickness, and current-voltage (J-V) characteristics, along with quantum efficiency (QE), were evaluated to identify the most effective HTL. Additional simulations investigated the impact of series resistance (Rs), shunt resistance (Rsh) and temperature on device performance. The findings demonstrated that CZTSe outperformed other kesterites as HTL due to its superior absorption coefficient, favorable band alignment, and higher charge carrier formation and extraction capabilities. The configuration resulted in an open-circuit voltage (VOC) of 0.78 V, a short-circuit current density (JSC) of 40.19 mA/cm2 and a fill factor (FF) of 80.30%, leading to an overall PCE of 25.36% These findings highlight the potential of CZTSe as a promising HTL for high-PCE, lead-free PSCs, advancing sustainable solar technology. © 2025 IEEE.

关键词： Titanium dioxide

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A Novel Approach for Bridging the Gap Between SDN and MITRE for Agile Incident Response 5th

A Novel Approach for Bridging the Gap Between SDN and MITRE ...

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5th international conference on computing and Network Communications, CoCoNet 2023

作者： Jimmington, Anjana Alfas Hakeem, P. Mukherjee, Preetam Thampi, Sabu M. Connected Systems and Intelligence Lab School of Computer Science and Engineering Digital University Kerala Technopark Phase IV Kerala Thiruvananthapuram India

ISBN: (纸本)9789819745395

The growing complexity of potential attacks in network infrastructure demands advanced incident response (IR) techniques. With organization adopting the Software-Defined Networks the response capabilities can be improved to a greater extend. SDN’s centralized control is utilized in this process. However the lacking of a list of possible defense mechanisms in the SDN, effects the swift respondence against the occurrence of a security incident. To address this challenge, we studied the MITRE D3FEND knowledge base, which provides various standard defense mechanisms. Later, within the knowledge base the defense mechanisms that can be implemented in SDN were identified. A valid list of possible implementable defense mechanisms in SDN was created. With the help of the developed implementer tool ANTq, which runs on top of the Ryu controller the suggested MITRE defense mechanisms were automatically implemented. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cyber attacks

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