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Near-Optimal Scheduling for IC Packaging Operations Considering Processing-Time Variations and Factory Practices

IEEE Robotics and Automation Letters 2024年第4期9卷 3878-3885页

作者： Tsai, Tsung-Han Yan, Bing Luh, Peter B. Yang, Haw-Ching Bragin, Mikhail A. Cheng, Fan-Tien National Cheng Kung University Institute of Manufacturing Information and Systems Tainan701401 Taiwan Rochester Institute of Technology Department of Electrical and Microelectronic Engineering RochesterNY14623 United States University of Connecticut Department of Electrical and Computer Engineering StorrsCT06269 United States National Taiwan University Department of Electrical Engineering Taipei106329 Taiwan National Kaohsiung University of Science and Technology Department of Electrical Engineering Kaohsiung824005 Taiwan University of California Department of Electrical and Computer Engineering RiversideCA92507 United States

Due to the short life cycles of electronic products, trial run lots of new products are crucial in IC packaging for production verification and engineering adjustments. The processing time of trial run lots may differ significantly from production lots due to engineering adjustments and is difficult to predict without sufficient historical data. The purpose of this letter is to develop a framework for near-optimal scheduling of IC packaging considering processing time variations and factory practices. Using an orthogonal greedy algorithm and recurrent neural network, this framework extracts key features and predicts the processing times of trial run lots and production lots for each operation using these algorithms. After formulating the scheduling problem in an integer linear programming form, an ordinal optimization method is embedded within the decomposition and coordination framework to obtain dynamic and near-optimal schedules in a computationally efficient manner. This approach can improve the efficiency of IC packaging and potentially other operations by optimizing lot scheduling, reducing production tardiness, and increasing productivity in the factory, paving the way for self-optimizing factories in the future. © 2016 IEEE.

关键词： Integer programming

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Stability and bifurcation analysis of delayed tri-trophic food chain model in poisoned environment with fear effect and additional food

Stability and bifurcation analysis of delayed tri-trophic fo...

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作者： Ramasamy, Sivasamy Banjerdpongchai, David Park, PooGyeon Center of Excellence in Intelligent Control Automation of Process Systems Department of Electrical Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Department of Electrical Engineering Pohang University of Science and Technology Pohang Korea Republic of

One of the most important goals of theoretical ecologists is to find a strategy for controlling the chaos in ecological models to maintain healthy ecosystems. We investigate the influence of fear and the supply of additional food to predators in a delayed tri-trophic food chain model, where interference among the species is determined by Holling type-II functional response. The proposed model incorporates the fact that the growth rates of prey and middle predators are decreased due to the fear of middle and special predators, respectively. The additional food is supplied to both predators by either nature or external agencies. Furthermore, the poisoned prey in the predator's environment is taken into account. In the proposed model, we use two time delays: one for the growth term of the middle predator and another for the gestation delay of the special predator. We determine the conditions for the existence of ecologically feasible equilibrium points and their local and global stability. In addition, we establish the conditions for the existence of Hopf bifurcation around interior equilibrium to seek periodic behavior in nondelayed and delayed models. Numerical investigations are performed to justify the proposed theoretical findings through phase portraits, time series of solutions, and bifurcation diagrams. We observe that the chaotic dynamics of a tri-trophic food chain model can be controlled by the proper choice of the fear effect and by supplying additional food parameters. As a result, our findings provide more ecological insights into the dynamics of the delayed tri-trophic food chain model with the fear effect and additional food supply. © 2023 John Wiley & Sons, Ltd.

关键词： Hopf bifurcation

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Orbiting Optimization Model for Tracking Voltage Security Region Boundary in Bulk Power Grids

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CSEE Journal of Power and Energy systems 2022年第2期8卷 476-487页

作者： Xue Li Tao Jiang Linquan Bai Xiao Kou Fangxing Li Houhe Chen Guoqing Li the Department of Electrical Engineering Northeast Electric Power UniversityJilin 132012China the Department of Systems Engineering and Engineering Management University of North Carolina at CharlotteCharlotteNC28223 USA the Department of Electrical Engineering and Computer Science University of TennesseeKnoxvilleTN37996 USA

A voltage security region(VSR)is a powerful tool for monitoring the voltage security in bulk power grids with high penetration of *** can prevent cascading failures in wind power integration areas caused by serious over or low voltage *** bottlenecks of a VSR for practical applications are computational efficiency and *** bridge these gaps,a general optimization model for tracking a voltage security region boundary(VSRB)in bulk power grids is developed in this paper in accordance with the topological characteristics of the ***,the initial VSRB point on the VSRB is examined with the traditional OPF by using the base case parameters as initial ***,the rest of the VSRB points on the VSRB are tracked one after another,with the proposed optimization model,by using the parameters of the tracked VSRB point as the initial value to explore its adjacent VSRB *** proposed approach can significantly improve the computational efficiency of the VSRB tracking over the existing algorithms,and case studies,in the WECC 9-bus and the Polish 2736-bus test systems,demonstrate the high accuracy and efficiency of the proposed approach on exploring the VSRB.

关键词： Optimal power flow(OPF) stress direction voltage security critical point voltage security region voltage security region boundary

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Cyber Induced Harmonic Instability of Inverter-Based Renewable Generators 24

Cyber Induced Harmonic Instability of Inverter-Based Renewab...

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24th EEEIC International Conference on Environment and electrical engineering and 8th I and CPS Industrial and Commercial Power systems Europe, EEEIC/I and CPS Europe 2024

作者： Zadsar, Masoud Vavdareh, Masoud Babaei Ghafouri, Mohsen Ameli, Amir Concordia University Department of Information and Systems Engineering Montreal Canada Lakehead University Department of Electrical Engineering Thunder Bay Canada

ISBN: (纸本)9798350355185

Extensive integration of inverter-based resources (IBRs) has introduced stability challenges to power grids due to their low-inertia nature and grid-following control configuration. To address these challenges, recent IEEE standards, e.g., IEEE 1547.1-2020, recommended grid-connected IBRs to provide grid-supporting functions, necessitating communication with utility control centers through various protocols. However, deployment of communication protocols exposes grid-connected IBRs to various threats originated from cyber-layer, endangering overall system stability. To make IBRs resilient to cyber-threats, knowledge about possible attacks and relevant consequences is required. On this basis, this paper emphasizes on vulnerability of grid-connected IBRs to a new family of resonance cyber-attacks. In this attack, the adversary induces harmonic instability by launching a resonance false data injection attack (FDIA) on the IBR's communication layer. To this aim, the attacker can take advantage of impedance-based models or frequency scanning approaches to determine the resonance frequency of the IBR with the grid. Through injecting sinusoidal noise within the resonance frequency range into the signals communicating between sensors or grid-supporting functions and IBRs, the adversary excites the resonance modes of the IBR with the grid, leading to instability of the inverter. The simulation results on a LCL-type grid-connected inverter demonstrated that this resonance FDIA can cause extensive current and voltage harmonic distortion at the inverter's point of common coupling (PCC), which can triggers protection devices and lead to inverter trip. © 2024 IEEE.

关键词： Smart power grids

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Airstacknet: A Stacking Ensemble-Based Approach for Air Quality Prediction

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Computers, Materials & Continua 2023年第1期74卷 2073-2096页

作者： Amel Ksibi Amina Salhi Ala Saleh Alluhaidan Sahar A.El-Rahman Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia Electrical Engineering Department Faculty of Engineering-ShoubraBenha UniversityCairoEgypt

The quality of the airwe breathe during the courses of our daily lives has a significant impact on our health and well-being as ***,personal air quality measurement remains *** this study,we investigate the use of first-person photos for the prediction of air *** main idea is to harness the power of a generalized stacking approach and the importance of haze features extracted from first-person images to create an efficient new stacking model called AirStackNet for air pollution *** consists of two layers and four regression models,where the first layer generates meta-data fromLight Gradient Boosting Machine(Light-GBM),Extreme Gradient Boosting Regression(XGBoost)and CatBoost Regression(CatBoost),whereas the second layer computes the final prediction from the meta-data of the first layer using Extra Tree Regression(ET).The performance of the proposed AirStackNet model is validated using public Personal Air Quality Dataset(PAQD).Our experiments are evaluated using Mean Absolute Error(MAE),Root Mean Square Error(RMSE),Coefficient of Determination(R2),Mean Squared Error(MSE),Root Mean Squared Logarithmic Error(RMSLE),and Mean Absolute Percentage Error(MAPE).Experimental Results indicate that the proposed AirStackNet model not only can effectively improve air pollution prediction performance by overcoming the Bias-Variance tradeoff,but also outperforms baseline and state of the art models.

关键词： Personal air quality prediction airstacknet ensemble learning feature extraction stacking

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Optimisation and Performance Computation of a Phase Frequency Detector Module for IoT Devices

Annals of Emerging Technologies in Computing

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Annals of Emerging Technologies in Computing 2024年第1期8卷 13-21页

作者： Hemel, Md. Shahriar Khan Reaz, Mamun Bin Ibne Ali, Sawal Hamid Bin Md Bhuiyan, Mohammad Arif Sobhan Miraz, Mahdi H. Department of Electrical Electronic and Systems Engineering Universiti Kebangsaan Malaysia Malaysia Department of Electrical and Electronic Engineering Independent University Bangladesh School of Electrical Engineering and Artificial Intelligence Xiamen University Malaysia Malaysia School of Computing and Data Science Xiamen University Malaysia Malaysia Faculty of Arts Science and Technology Wrexham University United Kingdom Faculty of Computing Engineering and Science University of South Wales United Kingdom

The Internet of Things (IoT) is pivotal in transforming the way we live and interact with our surroundings. To cope with the advancement in technologies, it is vital to acquire accuracy with the speed. A phase frequency detector (PFD) is a critical device to regulate and provide accurate frequency in IoT devices. Designing a PFD poses challenges in achieving precise phase detection, minimising dead zones, optimising power consumption, and ensuring robust performance across various operational frequencies, necessitating complex engineering and innovative solutions. This study delves into optimising a PFD circuit, designed using 90 nm standard CMOS technology, aiming to achieve superior operational frequencies. An efficient and high-frequency PFD design is crafted and analysed using cadence virtuoso. The study focused on investigating the impact of optimising PFD design. With the optimised PFD, an operational frequency of 5 GHz has been achieved, along with a power consumption of only 29 µW. The dead zone of the PFD was only 25 ps. © 2024 by the author(s).

关键词： Phase locked loops

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Low Power Wide Area Networks (LPWAN) Technologies for Bulk IoT: A Critical Review of Reliability and Energy Efficiency 4

Low Power Wide Area Networks (LPWAN) Technologies for Bulk I...

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4th International Multidisciplinary Information Technology and engineering Conference, IMITEC 2024

作者： Dlamini, Advisor Migabo, Emmanuel Mbuyu, Sumbwanyambe University of South Africa Department of Electrical and Smart Systems Engineering Johannesburg South Africa Tshwane University of Technology Department of Electrical Engineering Pretoria South Africa

ISBN: (纸本)9798350387988

Low Power Wide Area Network (LPWAN) technologies have emerged as a promising alternative for connecting most Internet of Things (IoT) devices over long distances with low power consumption. This paper presents a comprehensive analysis of the reliability and energy efficiency of LPWAN technologies in bulk water massive IoT applications. Reliability is a major challenge in IoT deployments since data transmission must be guaranteed even under harsh deployment conditions. LPWAN technologies such as the NB-IoT, LoRa and Sigfox have demonstrated remarkable reliability, with the ability to travel great distances and penetrate barriers. Energy efficiency is another important consideration when deploying IoT devices at scale. LPWAN technologies excel in this area because they use low-power communication protocols that allow devices to run for long periods of time without the need for regular battery replacements. Because of their reliability and energy efficiency, LPWAN technologies are an appealing option for Bulk water metering IoT deployments. More research and development efforts are required to address issues such as network scalability and security to fully realize the promises of the LPWAN technologies in the IoT ecosystem. © 2024 IEEE.

关键词： Bulk water Energy Efficiency Internet of Things (IoT) Metering Reliability

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Distributed Simulation Framework for Assesing Multipath Transport Protocols 32

Distributed Simulation Framework for Assesing Multipath Tran...

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32nd Telecommunications Forum, TELFOR 2024

作者： Turkmanovic, Haris El Mezeni, Dragomir Cica, Zoran Saranovac, Lazar University of Belgrade School of Electrical Engineering Department of Electronics and Digital Systems Belgrade Serbia University of Belgrade School of Electrical Engineering Department of Telecommunication Belgrade Serbia

ISBN: (纸本)9798350391053

Several simulation frameworks have been developed to evaluate multipath transport protocols. However, only a few enable interaction with protocols implemented on real hardware, such as FPGA platforms. This paper proposes a Distributed Simulation Framework (DSF) that features two distinct software components, which can run on separate platforms: the Hybrid User Terminal (HUT) and the Device. The HUT generates data, configures devices, and provides insights into system behavior during simulations. In contrast, the Device is designed to operate on real hardware, such as FPGA boards. To demonstrate the potential of the DSF, the HUT was run on a PC-based machine, and the Device was run on a Zynq UltraScale+ RFSoC ZCU111 Evaluation Kit. The results showed that the DSF delivers a wide range of data that can be used to evaluate multipath transport protocols effectively. © 2024 IEEE.

关键词： Digital elevation model

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Techno-economic analysis of green hydrogen as an energy-storage medium for commercial buildings

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Clean Energy 2023年第1期7卷 84-98页

作者： Rahul Rajeevkumar Urs Assia Chadly Ameena Al Sumaiti Ahmad Mayyas Department of Industrial and Systems Engineering Khalifa UniversityAbu Dhabi 127788UAE Department of Electrical Engineering and Computer Science Advanced Power and Energy CenterKhalifa UniversityAbu Dhabi 127788UAE

Green-hydrogen production is vital in mitigating carbon emissions and is being adopted *** its transition to a more diverse energy mix with a bigger share for renewable energy,United Arab Emirates(UAE)has committed to investing billions of dollars in the production of green *** study presents the results of the techno-economic assessment of a green-hydrogen-based commercial-building microgrid design in the *** microgrid has been designed based on the building load demand,green-hydrogen production potential utilizing solar photovoltaic(PV)energy and discrete stack reversible fuel cell electricity generation during non-PV *** the current market conditions and the hot humid climate of the UAE,a performance analysis is derived to evaluate the technical and economic feasibility of this *** study aims at maximizing both the building microgrid’s independence from the main grid and its renewable *** results indicate that the designed system is capable of meeting three-quarters of its load demand independently from the main grid and is supported by a 78%renewable-energy *** economic analysis demonstrates a 3.117-$/kg levelized cost of hydrogen production and a 0.248-$/kWh levelized cost for storing hydrogen as ***,the levelized cost of system energy was found to be less than the current utility costs in the *** analysis shows the significant impact of the capital cost and discount rate on the levelized cost of hydrogen generation and storage.

关键词： fuel cell electrolyser green hydrogen microgrid photovoltaic

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Online Power System Voltage Stability Index for LCC HVDC Using Local Measurements

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CSEE Journal of Power and Energy systems 2023年第1期9卷 100-110页

作者： David Li Conghuan Yang Ying Xue Xiao-Ping Zhang Department of Electronic Electrical and Systems EngineeringSchool of EngineeringUniversity of BirminghamBirmingham B152TTUK Guangzhou Maritime University GuangzhouChina School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China

This paper proposes an online power system voltage stability index(PVSI Online)that quantifies power system voltage stability in real time between an AC network and LCC HVDC using only local *** methods relied on using telecommunications to inform a change in a predetermined AC network *** proposed method uses local measurements of voltage and current from the HVDC using a newly developed,numerically robust technique called Moving Window Covariance to detect a change in the AC network in real *** network parameters are fed to a newly devised index that accurately models and captures the dynamics of the interaction between an LCC HVDC and AC *** index is used to quantify stability,but also to advise network *** an onset of instability due to network degradation,the proposed index can provide a power order value for the HVDC to restore *** as a self-contained module that can be implemented within a HVDC scheme.

关键词： LCC HVDC local measurements Moving Window Covariance numerical drift online PVSI PVSI Online real time SCR SCL self-contained

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