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8th International conference on Energy System, Electricity, and Power, ESEP 2023

作者： Liu, Chang Ji, Xiu Li, Dexin Zhang, Jiajun Bai, Yang State Grid Jilin Electric Power Research Institute Jilin China ChangChun Institute of Technology Changchun China

ISBN: (数字)9781510679801

ISBN: (纸本)9781510679795

This paper establishes a three-layer centralized control architecture for transmission grid, distribution grid and local equipment and a multi-layer coordinated distributed control architecture for distribution system;exploring the "source-network-load-storage" comprehensive coordination and interaction mechanism of power distribution system;researching on the operation of equipment at the source, network, load and storage ends of the distribution network, and construct a coordinated centralized optimization model of "source-network-load-storage" and a zoned distributed optimization model based on the data-driven distribution robustness method, the CCG algorithm and ADMM algorithm are used to solve the problem effectively, and the method of this paper can realize the improvement of "source-network-load-storage" regulation ability. © 2024 SPIE.

关键词： Optimization

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An Integrated data Warehouse to Identify HIV/AIDS Prevalence

An Integrated Data Warehouse to Identify HIV/AIDS Prevalence

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2024 International conference on Horizons of Information technology and Engineering, HITE 2024

作者： Mehmood, Aneela University of Central Punjab Pakistan

ISBN: (纸本)9798331516055

Major advances in the medical domain have led to an increase in biological data. Hence it is becoming difficult to compile such data and use it to extract some beneficial information, A data warehouse is one of the solutions to compile massive amounts of data in one place and use it for strategic decision-making. The data warehouse development for an enterprise is also beneficial in the aspect that it is a permanent storage space for various data sources which, together in one place, support business intelligence functions, strategic decision-making, reporting, and analysis. Despite data warehouse advantages in the medical domain, there are a few challenges in its development. The prominent involves the fact that data in the medical domain is usually in text format. Different departments in healthcare organizations have unique records for patients. Also, doctors or nurses may use different medical terminologies to record patients' data. In the medical domain, historical data holds significant importance in predicting the future of diseases;hence it needs to be kept in a non-volatile storage i.e., a data warehouse. HIV (Human Immunodeficiency Virus) has been a deadly disease in human life for many years. Its eradication is a big challenge for physicians, and researchers are also looking for methods to save lives from HIV/AIDS (Acquired Immune Deficiency Syndrome). This paper presents a scalable data warehouse architecture designed for managing HIV/AIDS data. The system enables strategic decision-making by handling heterogeneous data sources and offers improved query performance through OLAP. The purpose of this paper is to build a data warehouse to help in strategic decision-making that is useful for the diagnosis and treatment of HIV patients. © 2024 IEEE.

关键词： data warehouses

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advances in the Hyperspectral Imager ANFA and It Is Role in the Colombian LEOPAR Satellite Mission

Advances in the Hyperspectral Imager ANFA and It Is Role in ...

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IEEE Aerospace conference

作者： Rojas-Rodriguez, Leandro Rodriguez-Ferreira, Julian Salgado-Meza, Pedro A. Rincon, Sonia Acero, Ignacio F. Hernandez, Francisco L. Palencia-Solano, Francisco Arciniegas-Arbelaez, Daniel Univ Ind Santander E3T Bucaramanga 680002 Colombia Fuerza Aeroespacial Colombiana CITAE Cali 760011 Colombia USA Bogota 111711 Colombia Univ Valle EIEE Cali 760042 Colombia

ISBN: (纸本)9798350304626

Colombia is an emerging space nation currently transitioning from being an operator of space systems to becoming a satellite manufacturer. The LEOPAR mission represents Colombia's fourth satellite development endeavor. It entails a 3U CubeSat platform equipped with a hyperspectral camera known as ANFA, designed for remote sensing in the spectral range of 450 to 900 nm. Its primary objective is to identify vegetation and deforested areas across Colombian territory. The design and implementation of ANFA, in its initial phase as a laboratory prototype, underwent multiple iterations to align with mission requirements based on the state of the art. Rigorous laboratory tests have successfully validated the payload's proper operation in terms of optical, mechanical, and electronic aspects of operational concepts. The ANFA laboratory prototype was developed using Commercial Off-The-Shelf (COTS) devices to emulate the optical subsystem and integrate it with the electronic subsystem. This prototype achieved scene capture, data transmission through the SPI protocol to the instrument's main microcontroller, data processing, storage in an SD memory card, and image reconstruction to identify spectral signatures across each pixel in the hyperspectral data cube. Simultaneously, significant progress has been made in designing the optoelectronic detection chain for ANFA, based on the development of a radiometric model for analyzing a reference scene and transforming scene reflectance to Top of the Atmosphere (TOA). Subsequently, we plan to calculate the Signal-to-Noise Ratio (SNR) performance parameter as a tool to select a suitable detector for our hyperspectral camera, meeting the requirements of the LEOPAR mission. Once this process is completed, the goal is to scale the prototype to an engineering model and, ultimately, a flight model. The vision is for ANFA to become the first Colombian hyperspectral instrument launched into space, thereby aligning this development with ongoing

关键词： Image reconstruction

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Research on power ecological data service model based on privacy computing and computing power network technology

Research on power ecological data service model based on pri...

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2024 International conference on Cloud Computing, Performance Computing, and Deep Learning, CCPCDL 2024

作者： Song, Yinghua Fan, Qiaoyun Nanjing211106 China NARI Technology Co. Ltd. Nanjing211106 China China Mobile Group Jiangsu Co. Ltd. Jiangsu Nanjing210006 China

ISBN: (纸本)9781510683044

data has become an important factor of production, and the collection, storage and value sharing of data have become increasingly important. At present, there is a difficult problem of how to realize data value mining and sharing on the premise of ensuring data security. In order to solve these problems, this article conducts relevant research on the key technologies of the "data+cloud" power ecological data service model based on privacy computing and computing power network technology, and proposes to use privacy computing technology and computing power network to build a "data+cloud" power ecological data service realizes multi-party data joint modeling and analysis, thereby building a safer and more reliable data application solution. © 2024 SPIE.

关键词： data modeling data privacy data processing Distributed computing Computer security Clouds Industry Network security Network architectures Real-time computing

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Integrated energy low-carbon economic dispatch considering electricity-carbon price correlation and hydrogen energy storage 3

Integrated energy low-carbon economic dispatch considering e...

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3rd International conference on Electronic Information Engineering, Big data, and Computer technology, EIBDCT 2024

作者： Jiang, Xue Xu, Weimao Lin, Junru Pan, Jin Zhang, Ping State Grid Liaoning Electric Power Company Limited Economic Research Institute Liaoning China

ISBN: (纸本)9781510680449

In order to improve the control of carbon emissions and energy consumption in the integrated energy system under the dual-carbon background, and to reduce the proportion of wind abandonment costs, the article establishes a low-carbon economic dispatch model for the integrated energy system that takes into account the correlation between electricity and carbon prices and hydrogen energy storage. Firstly, considering the fluctuation and interaction between electricity and carbon prices, the Copula function is determined according to the Euclidean distance and the rank correlation coefficient is obtained, and the electricity-carbon price data with correlation are simulated and sampled using the linear transformation method;secondly, hydrogen energy storage is introduced to improve the energy storage configuration of the system, and the integrated energy optimal dispatch model is established with the objectives of minimizing the cost of carbon trading, purchased energy and wind abandonment, and the mixed integer linear problem uses the CPLM method to solve the mixed integer linear problem and reduce the proportion of wind abandonment cost. The mixed-integer linear problem is solved by CPLEX;finally, the validity of the proposed model is verified through the comparative analysis of different scenarios. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Carbon

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Application of wind energy resource assessment system based on big data storage 5

Application of wind energy resource assessment system based ...

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5th International conference on Computer Vision and data Mining, ICCVDM 2024

作者： Shi, Qi Lv, Guannan Ai, Bo Li, Benshuai Wang, Peipei Feng, Wenjun Shang, Hengshuai College of Geodesy and Geomatics Shandong University of Science and Technology Qingdao266590 China Qingdao Yuehai Information Service Limited Qingdao266555 China Qilu Institute of Technology College of Civil Engineering Shandong Province Jinan273100 China

ISBN: (纸本)9781510682863

This paper constructs an interactive offshore wind power resource assessment system based on the 30-year data of ERA5 wind farm from the European Center for Medium-Range Weather Forecasts (ECMWF), combined with the offshore wind power big data storage technology of Apache Cassandra database and the wind energy resource assessment model, and following the current national standards and technical specification documents. In this paper, 6 wind turbines in Changyi wind farm are randomly selected for authenticity, reasonableness and completeness analysis and verification, which verifies the feasibility of constructing wind farms in this sea area, and provides scientific site selection basis and wind resource assessment reference for the construction of offshore wind farms in China. © 2024 SPIE.

关键词： Offshore wind farms

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Structural, morphological, optical, and electrochemical studies of α-Bi2O3 and CuBi2O4 photocathode materials

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MRS advances 2024年第21期9卷 1649-1657页

作者： Naher, Mst. Irin Tanvir, Nazmul Islam Bitu, Nur Amin Khatun, Nazia Islam, Suravi Islam, Md. Saidul Shaikh, Md. Aftab Ali Farhad, Syed Farid Uddin BCSIR BCSIR Dhaka Labs Ind Phys Div Energy Convers & Storage Res Sect Dhaka Bangladesh BCSIR Cent Analyt & Res Facil CARF Dhaka 1205 Bangladesh Bangladesh Council Sci & Ind Res BCSIR Dhaka 1205 Bangladesh

Herein, we synthesized tetragonal CuBi2O4 powder from raw Bi2O3 and CuO powders by the combination of hand-milling and ball-milling and subsequent sintering at 750 degrees C for 4 h in air. The structural, morphological, optical, and physicochemical properties of Bi2O3 and CuBi2O4 powder samples were examined by a variety of characterization tools including X-ray diffraction (XRD), Raman spectroscopy, Scanning electron microscopy (SEM), UV-Vis-NIR spectroscopy, X-ray photoelectron spectroscopy (XPS), and electrochemical workstation. The combined XRD and Raman data analyses confirmed the monoclinic (P2(1)/c) and tetragonal (P4/ncc) phases of alpha-Bi2O3 and CuBi2O4, respectively. The average crystallite domain size was estimated to be similar to 72 nm for alpha-Bi2O3 and similar to 50 nm for CuBi2O4. SEM micrographs exhibit microrod-like morphologies for alpha-Bi2O3 and spherical nanograin-like morphologies for CuBi2O4. XPS studies revealed the Bi 4f peak split into Bi 4f(5/2) and Bi 4f(7/2) and the presence of Bi3+ valence states for both alpha-Bi2O3 and CuBi2O4, whereas Cu2+ valence state for CuBi2O4. The optical bandgap was estimated from diffuse reflection data and found to be similar to 2.62 and similar to 1.77 eV for alpha-Bi2O3 and CuBi2O4, respectively. Finally, Cyclic Voltammetry and (Photo)Electrochemical Impedance studies of alpha-Bi2O3 and CuBi2O4 slurries atop the screen-printed gold electrode with aqueous Na2SO4 electrolyte were conducted and compared to demonstrate a quick assessment technique of their photocatalytic performance.

关键词： X ray photoelectron spectroscopy

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Design and implementation of content confidentiality check system 3

Design and implementation of content confidentiality check s...

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3rd International conference on Electronic Information Engineering, Big data, and Computer technology, EIBDCT 2024

作者： Song, Yanyan Chen, Menghong Pi, Chunying Nie, Peng College of Computer Science Nankai University Tianjin300350 China College of Cyber Science Nankai University Tianjin300350 China College of Cyber Science Tianjin Key Laboratory of Network and Data Security Technology Nankai University Tianjin300350 China

ISBN: (纸本)9781510680449

Nowadays, companies use databases for information storage and it is inevitable that there will be confidential information which can cause severe crises and public relations problems if leaked. In order to solve this problem, we designed and implemented a content confidentiality check system for database. In this paper, the first section introduces the module design of the system. The second section introduces the key technology implementation of the system, which includes how to detect sensitive words and user password strength. The third section shows the running interface and detection results of the system. In short, this system helps users to realize a more convenient self inspection of the confidential content stored in their database, aiming to provide a strong guarantee for data storage security. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： database systems

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MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-storage Processing 51

MegIS: High-Performance, Energy-Efficient, and Low-Cost Meta...

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ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA)

作者： Ghiasi, Nika Mansouri Sadrosadati, Mohammad Mustafa, Harun Gollwitzer, Arvid Firtina, Can Eudine, Julien Mao, Haiyu Lindegger, Joel Cavlak, Meryem Banu Alser, Mohammed Park, Jisung Mutlu, Onur Swiss Fed Inst Technol Zurich Switzerland POSTECH Pohang South Korea

ISBN: (纸本)9798350326598;9798350326581

Metagenomics, the study of the genome sequences of diverse organisms in a common environment, has led to significant advances in many fields. Since the species present in a metagenomic sample are not known in advance, metagenomic analysis commonly involves the key tasks of determining the species present in a sample and their relative abundances. These tasks require searching large metagenomic databases containing information on different species' genomes. Metagenomic analysis suffers from significant data movement overhead due to moving large amounts of low-reuse data from the storage system to the rest of the system. In-storage processing can be a fundamental solution for reducing this overhead. However, designing an in-storage processing system for metagenomics is challenging because existing approaches to metagenomic analysis cannot be directly implemented in storage effectively due to the hardware limitations of modern SSDs. We propose MegIS, the first in-storage processing system designed to significantly reduce the data movement overhead of the end-to-end metagenomic analysis pipeline. MegIS is enabled by our lightweight design that effectively leverages and orchestrates processing inside and outside the storage system. Through our detailed analysis of the end-to-end metagenomic analysis pipeline and careful hardware/software co-design, we address in-storage processing challenges for metagenomics via specialized and efficient 1) task partitioning, 2) data/computation flow coordination, 3) storage technology-aware algorithmic optimizations, 4) data mapping, and 5) lightweight in-storage accelerators. MegIS's design is flexible, capable of supporting different types of metagenomic input datasets, and can be integrated into various metagenomic analysis pipelines. Our evaluation shows that MegIS outperforms the state-of-the-art performance-and accuracy-optimized software metagenomic tools by 2.7x-37.2x and 6.9x-100.2x, respectively, while matching the accuracy of

关键词： Metagenomic Analysis Near-data Processing storage

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GreenMov: A Fiware Based Interoperable Solution to Reduce the Environmental Impact of Mobility 7th

GreenMov: A Fiware Based Interoperable Solution to Reduce th...

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7th IFIP WG 5.5 International Cross-Domain conference on Internet of Things

作者： Couraud, Benoit Nafkha, Mehdi Dechavanne, Franck El Youssfi, Azeddine Moura, Paulo Univ Cote Azur IMREDD Nice France Univ Glasgow James Watt Sch Engn Glasgow Lanark Scotland

ISBN: (纸本)9783031819025;9783031819001;9783031818998

The recent advancements in the Internet of Things (IoT) have facilitated the deployment of numerous applications that enhance urban intelligence by improving the monitoring and control of city assets, such as lighting systems, traffic signals, and public transportation. However, these applications are often tailored to the specific needs of individual cities, limiting their replicability in other locations primarily due to the lack of interoperability in communication signals between assets. Despite various initiatives to establish standards for interoperability, real-world implementations frequently fall short of achieving fully interoperable systems that can be universally replicated, largely due to the absence of comprehensive solutions and implementation examples. This paper presents a fully interoperable use case for Green Mobility solutions in a smart city, utilizing air quality, traffic, and noise intensity data to provide transport recommendations to end-users. The implementation employs the NGSI-LD standard, Fiware data storage tools, and developed artificial intelligence-based algorithms to predict the transport situation for the following day and offer relevant traffic recommendations. This work has resulted in the development of several data models and standardized forecast algorithms with accuracy exceeding 75% on the noise and traffic datasets at our disposal, thereby enabling the potential for replication in other locations.

关键词： data models forecasting services green mobility Fiware

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