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检索条件"丛书名=Lecture Notes in Electrical Engineering"

共 22048 条记录，以下是111-120 订阅

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Enhancing Short-Term Hydrothermal Scheduling: A Hybrid MGWOSCA Approach for Improved Efficiency and Reduced Fuel Costs

Enhancing Short-Term Hydrothermal Scheduling: A Hybrid MGWOS...

引用

2024 Electric Power and Renewable Energy Conference

作者： Iqbal, Shahid A. Raj, Saurav Inst Chem Technol Mumbai Jalna India

ISBN: (纸本)9789819779239;9789819779215;9789819779208

The complexity of the short-term hydrothermal scheduling (STHS) lies in its optimization problem, which considers the transmission losses and valve-point effect (VPE). This problem is characterized by nonlinearity and non-smoothness, which significantly enhance the level of complexity in finding a solution. In order to address the aforementioned issues, the authors have made enhancements to the GreyWolf Optimization (GWO) by integrating methods from the Sine Cosine Algorithm (SCA). This integration has resulted in the development of a hybrid Modified Grey Wolf Optimizer Sine Cosine Algorithm (MGWOSCA) algorithm, which aims to effectively solve the STHS problem. Proposed algorithm offers faster convergence and avoid local minima. Furthermore, the difficult equality restrictions of STHS are addressed using a specialized repair process, as opposed to use the penalty function approach. The efficacy of the methodology is shown by a test system that has been published in the research literature. The findings are also compared with those acquired by other evolutionary approaches. The suggested technique has shown impressive fuel cost and performance outcomes. The results obtained demonstrate that the MGWOSCA technique offers a superior solution with less computing time and effort.

关键词： Hydrothermal scheduling Grey Wolf Optimizer Sine Cosine Algorithm

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Unraveling Twitter Hate Speech: A Comparative Analysis Using LDA and QDA Techniques 5th

Unraveling Twitter Hate Speech: A Comparative Analysis Using...

引用

5th International Conference on Data Science, Machine Learning and Applications

作者： Udayan, J. Divya Addanki, Veerababu Moneesh, Nagireddy Pavan, Gandham Sai Ram Srinivas, Challamalla Satya Amrita Vishwa Vidyapeetham Dept Comp Sci & Engn Kollam Kerala India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

In today's digital age, understanding the tone of online chats, especially tweets is important. The goal of this study, is to investigate which tweets are of primary concern and which ones are just regular chats. We analyze and detect hate speech from tweets using tools like QDA, LDA. Our findings, helps in facilitating early detection of hate speech which can be used for policy reforms and awareness building in social media.

关键词： Twitter Chats Tweets QDA LDA

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Supporting in-Sensor Computing with Hardware-Aware Neural Architecture Search 55th

Supporting in-Sensor Computing with Hardware-Aware Neural Ar...

引用

55th Meeting of the Italian Electronics Society

作者： Garavagno, Andrea Mattia Ragusa, Edoardo Zunino, Rodolfo Frisoli, Antonio Gastaldo, Paolo Univ Genoa Dept Elect Elect Telecommun Engn Naval Architecture DITEN I-16126 Genoa GE Italy Scuola Super Sant Anna Dept Excellence Robot & AI Piazza Martiri Liberta 33 I-56127 Pisa Italy Scuola Super Sant Anna Inst Mech Intelligence I-56010 Pisa Italy

ISBN: (纸本)9783031715204;9783031715181;9783031715174

Hardware-aware neural architecture search (HW-NAS) is a powerful tool for the automatic design of tiny neural architectures able to fit the tight memory constraints of commodity electronics, like microcontroller units (MCU). However, new sensors equipped with neural processing units (NPUs) are reaching the market. In contrast to common MCUs, NPUs often do not feature the traditional division of the memory constraint between RAM and Flash usage. This is an issue for state-of-the-art HW-NAS, which are designed to fit the two constraints distinctly. This work proposes a novel HW-NAS for designing tiny Convolutional Neural Networks (CNNs) that can effectively deal with NPUs, achieving state-of-the-art results in just 5 h and 48 min on the Visual Wake Words dataset, a tinyML benchmark.

关键词： In-sensor computing hardware-aware neural architecture search tinyML

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Analysis of Non-linearity Sources in Piezoresistive Gyroscopic Systems 55th

Analysis of Non-linearity Sources in Piezoresistive Gyroscop...

引用

55th Meeting of the Italian Electronics Society

作者： Laita, Gabriele Buffoli, Andrea Langfelder, Giacomo Politecn Milan Dipartimento Elettron Informaz & Bioingn Milan Italy Univ Grenoble Alpes CEA Leti F-38000 Grenoble France

ISBN: (纸本)9783031715204;9783031715181;9783031715174

Gyroscopes, essential in numerous navigation and stabilization tasks, are highly valued for their precision and reliability. However, achieving optimal accuracy remains a significant challenge, also due to inherent non-linearities. This study focuses on identifying sources of non-linearity in NEMS-based piezoresistive MEMS gyroscopes. A comprehensive Simulink model was developed and simulated to represent the entire gyroscope system, and the results were compared with experimental data. The model identified contributions from the AQC circuit and the Wheatstone bridge, but these did not align with experimental findings. Our investigation suggests that the dominant non-linearity contribution may be due to the CFIA or the piezoresistive effect, which will be thoroughly analyzed in future works.

关键词： Gyroscopes Piezoresistivity Non linearity sources

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Digital Recipe Sharing and Copyright Protection Using Blockchain 5th

Digital Recipe Sharing and Copyright Protection Using Blockc...

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5th International Conference on Data Science, Machine Learning and Applications

作者： Sowmya, G. Roja, G. Maheswari, G. Uma Nagini, Thota Prasanna, Potnuru Lakshmi MLR Inst Technol Dept CSE AIML Hyderabad India G Narayanamma Inst Technol Dept CSE AIML Hyderabad India VNRVJIET Dept CSE Hyderabad India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

In today's digital landscape, the surge in digital recipe sharing platforms has sparked concerns over copyright infringement and attribution of culinary creations. This paper delves into the innovative integration of blockchain technology to tackle these issues. We begin by examining the challenges faced by digital recipe sharing platforms, including rampant copyright violations. We then explore the transformative potential of blockchain, with its intrinsic characteristics of transparency, immutability, and decentralization, as a solution. The paper details the practical implementation of blockchain in recipe sharing platforms, emphasizing the role of smart contracts in automating copyright protection. Challenges like scalability and user adoption are addressed, along with strategies for mitigation. Ultimately, blockchain promises to revolutionize the culinary landscape, safeguarding creators' rights while nurturing a thriving digital culinary community.

关键词： Digital recipe sharing Copyright protection Blockchain technology Smart contracts Culinary creations Intellectual property Transparency Immutability Decentralization Culinary community

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Spatial and Temporal Analysis of Land Use and Land Cover (LU/LC) Analysis by Supervised Classification of Landsat Data 5th

Spatial and Temporal Analysis of Land Use and Land Cover (LU...

引用

5th International Conference on Data Science, Machine Learning and Applications

作者： Suneetha, Yedla Reddy, M. Anji Vidya Jyothi Inst Technol Dept Humanities & Sci Hyderabad Telangana India Jawaharlal Nehru Technol Univ Environm Sci & Technol & Director Admiss Hyderabad Telangana India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

The objective of the current work was to investigate LULC utilizing a Supervised classification method based on the MLC algorithm. Using images from Land sat 5 and 8, the quinquennial LULC for the previous 20 years (from 2000 to 2020) in the Hyderabad district of Telangana was determined. The LULC pattern in this area has been altered by recent significant development, which compelled the completion of this study using GIS (Geographical Information System) tools and RS (Remote Sensing) data. The rise in the built-up area (which expanded by 33%) contrasts with the change in the LULC every five years, vegetation (which reduced by 24%), and water body (which increased by 1%) all differed dramatically. As a result, it is determined that a possibility exists.

关键词： LULC Supervised classification Remote sensing Arc-GIS Landsat

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Anaerobic Co-digestion of Pineapple Wastes and Vinasse: Effect of Granular Activated Carbon as a Conductive Material for Enhancing Biomethane Potential 13th

Anaerobic Co-digestion of Pineapple Wastes and Vinasse: Effe...

引用

13th International Conference on Clean and Green Energy

作者： Avena-Ardeta, Louise Grace Almendrala, Michelle Sebastian, Nina Elaine Tuyay, Ma. Janell Mapua Univ Sch Chem Biol & Mat Engn & Sci Manila Philippines

ISBN: (纸本)9789819618149;9789819618125;9789819618118

The anaerobic co-digestion of pineapple wastes with vinasse presents a promising approach for addressing waste disposal issues while generating sustainable energy sources. The reactors R1, R2, R3, R4, R5, and R6 were subjected to H2O2 pretreatment and thermal pretreatment, while is pure vinasse. Addition of various amounts of granular activated carbon to the mixture in a 700 mL working volume was used to enhance biomethane production. Each reactor contains identical amounts of nutrients and inoculum. The present study showed that the highest biomethane yield of 78.7 mL/g VS was obtained in compared to the other batch reactors. After 30 days of anaerobic co-digestion, the content of the reactor producing the highest biomethane yield (R5) was tested for BOD and COD. Physico-chemical parameters such as TS and VS values decreased substantially with removal efficiencies of 0.55% to 42.33% and 71% to 77.7%, respectively.

关键词： Anaerobic Digestion Activated Carbon Waste to Energy Biofuel Pineapple Wastes Vinasse

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IoT Enabled Smart Emergency Response System 5th

IoT Enabled Smart Emergency Response System

引用

5th International Conference on Data Science, Machine Learning and Applications

作者： Padmaja, C. GNITS ECE Dept Hyderabad Telangana India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

With the boom within the wide kind of automobiles in the urban cities, the huge kind of health uncertainties/accidents has multiplied manifold. The want for ambulances is therefore growing at an alarming price. Which will increase the survival rate of sufferers, effective communique among ambulances and the hospital and the routing of ambulances at signal stations can be very necessary. For this reason, the proposed structure guarantees powerful conversation a number of the ambulance and the sanatorium about the delivery of beds, in order that the affected person may be transferred from this ambulance to the closest medical institution and also permits the ambulance to ship a sign to the close by visitors sign. The pillars open in order that the ambulance can skip effortlessly, which saves a number of time. The proposed device has the ability to improve the general overall performance and effectiveness of emergency services and in the end shop lives.

关键词： Ambulance detection and traffic control Ambulance communication system Hospital side health center software

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Efficient Human Activity Recognition: Machine Learning at the Sensor Level 55th

Efficient Human Activity Recognition: Machine Learning at th...

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55th Meeting of the Italian Electronics Society

作者： De Vecchi, Arianna Scandelli, Alice Bossi, Federica Casadei, Benedetta Caterina Shalby, Hazem Hesham Yousef Boschi, Marco Villa, Federica Politecn Milan I-20133 Milan Italy STMicroelectronics I-20010 Cornaredo MI Italy

ISBN: (纸本)9783031715204;9783031715181;9783031715174

Wearables equipped with Inertial Measurement Units (IMUs) can be used for Human Activity Recognition (HAR) in reallife scenarios. Typically, activity classification occurs within the microcontroller embedded in the wearable device. In this paper, we demonstrate the feasibility of performing real-time HAR at the extreme edge, hence directly within the smart sensor. The evaluation has been carried out on two 6-axis IMUs developed by STMicroelectronics, namely the LSM6DSV16BX and the LSM6DSO16IS, featuring a Machine Learning Core (MLC) and an Intelligent Sensor Processing Unit (ISPU), respectively. In this study, data were collected by using an earbud, and two tasks were analyzed. The first one focused on dynamic activities (go upstairs, go downstairs, sit on a chair, stand up from a chair, walk, stay still), while the second one led to the recognition of a subject's posture (sitting still, standing still). The best results for the first task were achieved by the ISPU of the LSM6DSO16IS programmed with a Convolutional Neural Network (CNN) having an accuracy of 99.2% with 3 s long windows as input. The second task was better handled by a decision tree in the MLC of the LSM6DSV16BX, with an accuracy of 79.1% with 4 s long inputs. The two IMUs showed an energy consumption per inference of 930 nWh and 1180 nWh, respectively.

关键词： Human Activity Recognition (HAR) Inertial Measurement Units (IMU) earable devices edge computing

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The Safety Monitoring System for the SND@LHC Experiment at CERN 55th

The Safety Monitoring System for the SND@LHC Experiment at C...

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55th Meeting of the Italian Electronics Society

作者： Fienga, Francesco Marrazzo, Vincenzo Romano Riccio, Michele Di Crescenzo, Antonia De Lellis, Giovanni Buontempo, Salvatore Irace, Andrea Breglio, Giovanni Univ Naples Federico II Dept Elect Engn & Informat Technol Naples Italy Ist Nazl Fis Nucl INFN Rome Italy European Org Nucl Res CERN Meyrin Switzerland Univ Naples Federico II Dept Phys Ettore Pancini Naples Italy

ISBN: (纸本)9783031715204;9783031715181;9783031715174

At the forefront of particle physics research, the SND@LHC experiment stands, strategically positioned 480 m downstream of the ATLAS interaction point within the LHC tunnel. Within this pioneering experiment, the SND Security Monitoring System (SND-SMS) acts as a vigilant guardian, employing IoT technology to safeguard the experiment's integrity and operational stability. Utilizing a network of Arm Cortex-M7 MCU and Sensirion SHT31D sensors, SND-SMS meticulously monitors environmental parameters such as temperature, humidity, and smoke levels across the experimental apparatus. Powered by ARM RTOS Mbed OS firmware and MQTT protocol, this system orchestrates real-time data collection, alarm classification, and initiative-taking safety measures, ensuring prompt responses to anomalies, from minor deviations to critical events, thereby upholding the SND@LHC's safety standards and operational efficiency.

关键词： Safety Monitoring System IoT node Sensor network CERN

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