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Does Noise Really Matter? Investigation into the Influence of Noisy Labels on Bert-Based Question Answering system 17

Does Noise Really Matter? Investigation into the Influence o...

引用

17th IEEE international conference on Semantic computing (icsc)

作者： Alexandrov, Dmitriy Zakharova, Anastasiia Butakov, Nikolay ITMO Univ St Petersburg Russia

ISBN: (纸本)9781665482639

Recent works with the BERT-based models demonstrate their generalization ability and high performance on the new domain tasks. However, this kind of model requires a large amount of data. Collecting this data can be error-prone, and it is important to know: how the errors in data affect the quality of the model. In this work, we study the impact of data with different errors - noisy data on the training of the question answering-over-text BERT-model. We use the concept of random, structural, and irrelevant question noises. We study the robustness of QAT models during the training process with different settings, datasets, and noise types and discuss possible reasons. We also propose a real-world domain dataset to probe our findings in a real-world scenario. The results of an experimental study showed that following developed recommendations allowed performance improvement up to 3.6% in a real-world setting.

关键词： question-answering system BERT noisy data noise simulation

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Automatic Crop Irrigation system using Internet of Things and Machine Learning 9

Automatic Crop Irrigation System using Internet of Things an...

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9th international conference on Signal Processing and Communication, icsc 2023

作者： Sharma, Geetika Dimri, Sushil Chandra Negi, Harendra Singh Maheshwari, Moksh Sharma, Mithilesh Kumar Computer Science and Engineering Graphic Era Deemed to be University Dehradun India Computer Science and Engineering Bareilly International University Bareilly India

ISBN: (纸本)9798350383201

Excessive irrigation causes adverse effects on the physical, chemical, and biological properties of soil, resulting in a decrease in its fertility. Therefore, the appropriate selection of irrigation methods is very important. Among these, furrow irrigation is found to be the most suitable alternative because of its high efficiency and low water consumption. The present work deals with the design, development, and simulation studies of a low-cost, fully automated, crop-independent, IoT-based furrow irrigation system. The system is designed by placing an array of wireless sensor nodes to investigate an adequate quantity of furrow flow rate and optimize it as per the requirements using a cloud computing platform. The designed system is advantageous in terms of saving water, benefiting crops, and subsiding soil degradation. The moisture sensors were deployed in the crop field with the help of a signal conditioning circuit interfaced with a microcontroller-integrated Wi-Fi module (ESP8266-NodeMCU). The said module was also connected to a solenoid valve to regulate the inflow rate and the Thing Speak cloud computing platform. The WinSRFR 5.1.1 simulation tool was used to estimate the adequate amount of flow rate suitable for the crop and soil type. The cloud platform was used to acquire, store, and process data to forecast the ideal soil moisture levels for future crop development and soil health. The studies were carried out at a depth of 100 mm and by varying furrow length (50 to 150 m) in steps of 50m for four different soil types, namely coarse sand soil, sandy loam soil, silt loam soil, and black cotton-plowed soil, which are commonly observed in India. The simulation work in this paper indicates the effectiveness of this system that how we can reduce the water loss by low-cost, fully automated, crop-independent, IoT-based furrow irrigation system. © 2023 IEEE.

关键词： Crops

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Enhancing Large Scale Brain simulation with Optimized Parallel Algorithms on Fugaku Supercomputer

Enhancing Large Scale Brain Simulation with Optimized Parall...

引用

2024 international conference on Cluster computing

作者： Lyu, Tianxiang Sato, Mitsuhisa Aoki, Shigeki Himeno, Ryutaro Sun, Zhe Juntendo Univ Grad Sch Med Tokyo Japan Juntendo Univ Fac Hlth Data Sci Grad Sch Med Tokyo Japan RIKEN Ctr Computat Sci Kobe Hyogo Japan

ISBN: (纸本)9798350383461;9798350383454

The quest to understand the brain has progressed from experimental and theoretical phases to the burgeoning field of simulation neuroscience [1]. Driven by big data generated at multiple levels of brain organization, simulation neuroscience seems to be the only methodology for systematically investigation on multi-scale brain and the interactions within and across all these levels. However, simulating the whole human brain is one of the most ambitious scientific challenges in the 21st century [2], impeded by issues of scale and complexity. Current spiking neural networks based brain simulator, like the NEST simulator [3], face several operational challenges on high-performance computing systems, including low computing intensity, high memory consumption and so on. Addressing these challenges, we introduce an innovative framework optimized for the Fugaku computing system, demonstrating enhanced performance compared to the NEST simulator © 2024 IEEE.

关键词： Fugaku Supercomputer Large Scale Brain simulation Spiking Neural Networks Indegree Sub-Graph Decomposition HPC Application

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Improving LSTM-based Indoor Positioning via simulation-Augmented Geomagnetic Field Dataset 2

Improving LSTM-based Indoor Positioning via Simulation-Augme...

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2nd IEEE international conference on Mobility, Operations, Services and Technologies, MOST 2024

作者： Vinciguerra, Elio Russo, Enrico Palesi, Maurizio Ascia, Giuseppe Rafique, Hamaad University of Catania Department of Electrical Electronic and Computer Engineering Catania Italy

ISBN: (纸本)9798350307733

Indoor positioning systems are now extensively used, enabling the precise localization of a user within a predefined space. The effectiveness of these services, particularly through the use of the geomagnetic field as feature, is notable, primarily due to its widespread natural availability, bypassing the need for dedicated infrastructure. Algorithmically, to establish a unique correlation between the data obtained by sensors at a specific location and the reference data used by the system, even in environments where the geomagnetic field exhibits minimal variations, a Recurrent Neural Network has been employed. This involves inputting the user's path into the network. To avoid costly dataset collection we employ a simulation-augmented approach. Furthermore, we combine the output of the proposed algorithm with inertial measurement unit data. Therefore, the proposed system attains an average error of around 0.4 meters in simulations and 1.6 meters in real-world scenarios. © 2024 IEEE.

关键词： Long short-term memory

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Effective Access to the Committed Global State in Speculative Parallel Discrete Event simulation on Multi-core Machines 23

Effective Access to the Committed Global State in Speculativ...

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ACM SIGSIM international conference on Principles of Advanced Discrete simulation (ACMSIGSIM-PADS)

作者： Marotta, Romolo Montesano, Federica Quaglia, Francesco Univ Roma Tor Vergata DICII Rome Italy

ISBN: (纸本)9798400700309

Output production and predicate detection are critical in speculative parallel discrete event simulation, since they need to take place accessing past state values-which have become committed-rather than the current state of the simulation objects, which is possibly affected by causality errors related to speculative event processing. In this article, we present an architecture that enables an effective management of the access to the committed state of any simulation object while still guaranteeing: (i) minimal impact on the forward execution of the simulation in terms of synchronization (and roll-back generation) and (ii) highly balanced distribution of the tasks among all the threads running the simulation application. Our architecture is devised for speculative simulation engines running on top of shared-memory parallel machines, where worker threads full share the simulation workload. We exploit kernel-level facilities-targeting the Linux operating system-and user level ones, which work together for enabling a suited wall-clock-time collocation of the threads' activities for the access to the committed global state of the simulation. We integrated our proposal within the USE (Ultimate Share-Everything) open-source simulation platform, and provide an experimental assessment of it.

关键词： PDES load-sharing shared-memory multi-core committed-state reconstruction Linux kernel

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BER Performance Modeling and simulation of QPSK system in Multi-path Fading Channel 3

BER Performance Modeling and Simulation of QPSK System in Mu...

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3rd international conference on computing, Communication, Perception and Quantum Technology, CCPQT 2024

作者： Ma, Xiaoqing School of Information Engineer Xi’an Eurasia University Xi’an China

ISBN: (纸本)9798331528386

This paper studies the bit error rate (BER) performance of QPSK (four-phase shift keying) system in multipath fading channels. The mathematical model of multi-path fading channel is established, and the system simulation is carried out using MATLAB software platform. In this paper, the characteristics of multi-path fading channel and its influence on BER performance of QPSK system are analyzed first, and then the corresponding simulation model is established to complete the BER simulation design of QPSK in multi-path channel, and the simulation results under different fading scenarios are compared and analyzed. The results show that the BER performance of QPSK system is significantly affected under multi-path fading channels, in which frequency-selective fading has the most significant negative effect on the performance. © 2024 IEEE.

关键词： MATLAB

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simulation Study for An Adjustable Ejector Used in Solar Air-Conditioning systems 11

Simulation Study for An Adjustable Ejector Used in Solar Air...

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11th IEEE international conference on systems and Control, icsc 2023

作者： Elhub, B. Ibrahim, Abdulati M. M. Ammar, A.A. Elbreki, A.M. Agripi Farhat, Mustafa Mohamed, Fasil Elmergib University Dept. Mechanical Engineering and Industrial Department Alkhoms Libya Higher Institute of Science and Technology-Alkhoms Dep. Mechanical Engineering Alkhoms Libya Higher Institute of Science and Technology-Zawia Dep. Mechanical Engineering Zawia Libya Libyan Authority for Scientific Research Benghazi Libya Higher Institute of Refrigeration and Air Condition Technologies Sokna Libya

ISBN: (纸本)9798350304886

This paper explores the potential of ejector refrigeration systems as sustainable cooling solutions driven by low-grade energy sources like waste heat or solar collectors. The focus is on adjustable ejectors, vital for enhancing efficiency in these systems. simulations examine their performance within solar air-conditioning setups. In typical ejector refrigeration systems, a generator, condenser, evaporator, ejector, pump, and expansion valve form the core components. The generator initiates the refrigeration process using low-grade energy, with high-pressure vapor entering the ejector nozzle, inducing the release of low-pressure vapor from the evaporator. Mixing and pressure recovery within the ejector are key to optimizing system performance. Using the k-ϵ turbulence model in CFD simulation, the study conducts 2D steady flow analysis under varying conditions, including generator temperature, back pressure, and evaporator temperature, with R134a as the working fluid. Validation experiments confirm results accuracy, particularly regarding the entrainment ratio, the optimum Er value obtained from the simulation is 1.2, highlighting the significance of generator temperature and back pressure in enhancing coefficient of performance (COP), among other findings. © 2023 IEEE.

关键词： Computational fluid dynamics

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Crop Irrigation and monitoring system using Programmable logic Controller 15

Crop Irrigation and monitoring System using Programmable log...

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15th international conference on Advances in computing, Control, and Telecommunication Technologies, ACT 2024

作者： Gupta, Hardik Patel, Nital Electrical Engineering Department Nirma University Ahmedabad India Electronics & Instrumentation Engineering Department Nirma University Ahmedabad India

ISBN: (纸本)9798331300579

Now a days automation and monitoring of crop irrigation is required for quality production of the crop. In this paper wheat, tomato and rice are considered for the study. A PLC based system is developed for monitoring and automation of these crops at various stages of growth. For the simulation of the system TwinCatTM software is used. For wheat crop temperature is monitored at germination, growth, and grain filling stages. Also, for wheat irrigation schedule is simulated. For tomato temperature is monitored at various growth stages. For rice crop temperature, soil moisture and humidity content are considered. The monitoring system helps the farmers to maintain the desired conditions for the respective crop. © Grenze scientific Society, 2024.

关键词： Fruits

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Neko: A Modern, Portable, and Scalable Framework for Extreme-Scale Computational Fluid Dynamics

Neko: A Modern, Portable, and Scalable Framework for Extreme...

引用

2024 international conference on Cluster computing

作者： Jansson, Niclas Karp, Martin Markidis, Stefano Schlatter, Philipp KTH Royal Inst Technol Stockholm Sweden Friedrich Alexander Univ Erlangen Germany

ISBN: (纸本)9798350383461;9798350383454

Recent trends and advancements in including more diverse and heterogeneous hardware in High-Performance computing are challenging scientific software developers in their pursuit of good performance and efficient numerical methods. As a result, the well-known maxim "software outlives hardware" may no longer necessarily hold true, and researchers are today forced to re-factor their codes to leverage these powerful new heterogeneous systems. We present Neko - a portable framework for high-fidelity spectral element flow simulations. Unlike prior works, Neko adopts a modern object-oriented Fortran 2008 approach, allowing multi-tier abstractions of the solver stack and facilitating various hardware backends ranging from general-purpose processors, accelerators down to exotic vector processors and Field Programmable Gate Arrays (FPGAs) via Neko's device abstraction layer. Focusing on Neko's performance and exascale readiness, we outline the optimisation and algorithmic work necessary to ensure scalability and performance portability across a wide range of platforms. Finally, we present performance measurements on a wide range of accelerated computing platforms, including the EuroHPC pre-exascale system LUMI and Leonardo, where Neko achieves excellent parallel efficiency for an extreme-scale direct numerical simulation (DNS) of turbulent thermal convection using up to 80% of the entire LUMI supercomputer.

关键词： Accelerators Spectral element method Direct numerical simulation

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Performance Evaluation of CHB and NPC Inverters for High Voltage Applications using simulation and Hardware Implementation 15

Performance Evaluation of CHB and NPC Inverters for High Vol...

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15th international conference on Advances in computing, Control, and Telecommunication Technologies, ACT 2024

作者： Srikakulam, Aditya Jayaprakash, Ananya Ranganath, Raksha Narayan, Sidharth Venugopal, N. PES University Dept. of EEE Bangalore India

ISBN: (纸本)9798331300579

The Cascaded H-Bridge (CHB) and Neutral Point Clamped (NPC) multilevel inverter topologies are compared in this research with an emphasis on how well-suited they are for high-voltage applications. The study uses hardware implementation in conjunction with simulation as its two main methodologies. Initially, MATLAB/Simulink was used to model both inverters in order to assess important performance parameters such as efficiency, harmonic content, and output voltage quality. The CHB inverter showed better properties based on the simulation findings, especially in terms of reduced harmonic distortion and increased efficiency. As a result, the CHB inverter was chosen for hardware deployment. The CHB inverter requires isolated DC voltage levels, which were created and built using a flyback DC-DC converter. The complete system, including the DC converter and the CHB inverter, was then built and tested on a hardware platform. © Grenze scientific Society, 2024.

关键词： MATLAB

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