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Journal articles on the topic 'Entity Grid Model'

Author: Grafiati

Published: 11 September 2023

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1

Deng, Xingye, Canwei Liu, Hualiang Liu, Lei Chen, Yuyan Guo, and Heding Zhen. "Enhanced Density Peak-Based Power Grid Reactive Voltage Partitioning." Energies 16, no. 17 (2023): 6125. http://dx.doi.org/10.3390/en16176125.

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Clustering-based reactive voltage partitioning is successful in reducing grid cascading faults, by using clustering methods to categorize different power-consuming entities in the power grid into distinct regions. In reality, each power-consuming entity has different electrical characteristics. Additionally, due to the irregular and uneven distribution of the population, the distribution of electricity consumption is also irregular and uneven. However, the existing method neglects the electrical difference among each entity and the irregular and uneven density distribution of electricity consu

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2

Yokono, Hikaru, and Manabu Okumura. "Local Coherence Model Based on Entity Grid Augmented with Text Cohesion." Journal of Natural Language Processing 17, no. 1 (2010): 161–82. http://dx.doi.org/10.5715/jnlp.17.1_161.

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Bao, Guang Bin, Ke Xia Zhang, and Hong Zhao. "Research on Information Technology with Modeling and Simulating of Video Grid." Advanced Materials Research 886 (January 2014): 655–59. http://dx.doi.org/10.4028/www.scientific.net/amr.886.655.

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Based on video grid structure, A Video Grid model was established using AnyLogic simulation software. First, the components required for modeling functions are introduced, and then create a model entity, video service processes, animation and analysis chart. Simulation results show that the AnyLogic-based video grid model, the model parameters can be adjusted, not only from the macroscopic dynamic observation of the entire system dynamics, but also from the microscopic measurement of the specified components. The construction of the actual video grid can provide a decision support.

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Yin, Didi, Siyuan Cheng, Boxu Pan, Yuanyuan Qiao, Wei Zhao, and Dongyu Wang. "Chinese Named Entity Recognition Based on Knowledge Based Question Answering System." Applied Sciences 12, no. 11 (2022): 5373. http://dx.doi.org/10.3390/app12115373.

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The KBQA (Knowledge-Based Question Answering) system is an essential part of the smart customer service system. KBQA is a type of QA (Question Answering) system based on KB (Knowledge Base). It aims to automatically answer natural language questions by retrieving structured data stored in the knowledge base. Generally, when a KBQA system receives the user’s query, it first needs to recognize topic entities of the query, such as name, location, organization, etc. This process is the NER (Named Entity Recognition). In this paper, we use the Bidirectional Long Short-Term Memory-Conditional Random

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Irawan, Dandan. "Positioning Koperasi Melalui Pendekatan ICA Grid Model." Coopetition : Jurnal Ilmiah Manajemen 12, no. 3 (2021): 465–76. http://dx.doi.org/10.32670/coopetition.v12i3.753.

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In order to know whether a cooperative organization is really a cooperative in a true sense, it is necessary to first look at its identity. The identity of a cooperative is a basic characteristic inherent in a cooperative since its birth. It undergoes a very long and crystalline process of growth and maturity, thus placing the cooperative as a business entity that has a positioning for its members. Cooperatives operate in a space that is limited by their identity and by the rules that apply to free market players such as corporations. Cooperatives also play in a competitive market economy and

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Luo, Jingtang, Shiying Yao, Changming Zhao, Jie Xu, and Jim Feng. "A Federated Named Entity Recognition Model with Explicit Relation for Power Grid." Computers, Materials & Continua 75, no. 2 (2023): 4207–16. http://dx.doi.org/10.32604/cmc.2023.034439.

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Sharma, Dolly, Shailendra Singh, and Mamta Mittal. "Trust Models in Grid Computing: A Review." Recent Patents on Engineering 13, no. 2 (2019): 94–100. http://dx.doi.org/10.2174/1872212112666180427143757.

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Background: Grid computing relates to a pool of resources to be shared by users in Grid Environment. Security of the resources from users and vice-versa is a significant issue. This is where the notion of trust comes into existence. A number of researchers have proposed models for evaluation of trust in grid computing, but they fail to spot one or the other parameters for trust evaluation. The essence of trust models in grid computing is that they offer autonomic trust management. An autonomic trust model has been patented by Z. Yan and C. Prehofer in 2009. Another patent was published by Anna

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Mirz, Markus, Lukas Razik, Jan Dinkelbach, et al. "A Cosimulation Architecture for Power System, Communication, and Market in the Smart Grid." Complexity 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/7154031.

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Smart grids evolve rapidly towards a system that includes components from different domains, which makes interdisciplinary modelling and analysis indispensable. In this paper, we present a cosimulation architecture for smart grids together with a comprehensive data model for the holistic representation of the power system, the communication network, and the energy market. Cosimulation is preferred over a monolithic approach since it allows leveraging the capabilities of existing, well-established domain-specific software. The challenges that arise in a multidomain smart grid cosimulation are i

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Song, Niu, and Li. "Individual Behavior Simulation Based on Grid Object and Agent Model." ISPRS International Journal of Geo-Information 8, no. 9 (2019): 388. http://dx.doi.org/10.3390/ijgi8090388.

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For the simplicity of spatial modeling in Cellular Automaton (CA) and the complexity of vector spatial expression in the Multi-Agent System (MAS), the concept of grid object as the spatial model of individual behavior simulation was proposed with spatial information, semantic information, and connection relationship of geographic entity. Then, by incorporating the MAS, the method for individual behavior simulation with the Grid Object and Agent Model (GOAM) was demonstrated. Meanwhile, a prototype system including the three subsystems was developed based on the GOAM, and experiments were condu

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Liang, Kun, Baoxian Zhou, Yiying Zhang, Yiping Li, Bo Zhang, and Xiankun Zhang. "PF2RM: A Power Fault Retrieval and Recommendation Model Based on Knowledge Graph." Energies 15, no. 5 (2022): 1810. http://dx.doi.org/10.3390/en15051810.

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Energy saving and emission reduction have become common concerns in countries around the world. In China, with the implementation of the new strategy of “carbon peak and neutrality” and the rapid development of the new smart grid infrastructure, the amount of data of actual power grid dispatching and fault analysis show exponential growth, which has led to phenomena such as poor supervision effectiveness and difficulty in handling faults in the process of grid operation and maintenance. Existing research on retrieval recommendation methods has had a lower accuracy rate at cold-start due to a s

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11

Li, Jingye, Hao Fei, Jiang Liu, et al. "Unified Named Entity Recognition as Word-Word Relation Classification." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (2022): 10965–73. http://dx.doi.org/10.1609/aaai.v36i10.21344.

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So far, named entity recognition (NER) has been involved with three major types, including flat, overlapped (aka. nested), and discontinuous NER, which have mostly been studied individually. Recently, a growing interest has been built for unified NER, tackling the above three jobs concurrently with one single model. Current best-performing methods mainly include span-based and sequence-to-sequence models, where unfortunately the former merely focus on boundary identification and the latter may suffer from exposure bias. In this work, we present a novel alternative by modeling the unified NER a

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Chen, Ming, Xue Ding, and Limin Yuan. "Grid Data Inventory Model Based on Improved Redundancy Elimination and Label Extraction." Journal of Physics: Conference Series 2179, no. 1 (2022): 012029. http://dx.doi.org/10.1088/1742-6596/2179/1/012029.

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Abstract In view of the difficulty of data inventory caused by the large amount of accumulated data of the current grid business data, multiple data sources, and complex data, this paper proposes a data inventory scheme for structured data and unstructured data. Firstly, this paper uses the YOLOv3 deep learning network to label unstructured data to convert unstructured data into structured data; Secondly, the Semantic Hypergraph Clustering (SHC) method is used to realize the identification of the same entity of the power grid data and the elimination of redundancy. This method introduces seman

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Guo, Wenbo, and Jun Zhao. "Study on a Compatible Model Combining Point Cloud Model and Digital Elevation Model." Journal of Physics: Conference Series 2224, no. 1 (2022): 012086. http://dx.doi.org/10.1088/1742-6596/2224/1/012086.

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Abstract DEM is an important data source to describe the surface morphology, but it is not a real 3D model, which can not meet the requirements of true 3D description under the ground. LIDAR point cloud data is a new true 3D data with high precision and high density. Based on the analysis of the differences between DEM and point cloud data in acquisition method, data structure and model construction, this paper proposes a 3D point set data model based on regular grid 2D data field, as well as the idea of regional modeling, and tests the feasibility of the data model through the upper and lower

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14

Han, Qiu Fang, Qi Bai Huang, and Shan De Li. "Comparative Analysis of Static Strength of Traditional and Bionic Semi-Trailer Frame." Applied Mechanics and Materials 470 (December 2013): 320–24. http://dx.doi.org/10.4028/www.scientific.net/amm.470.320.

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A three-dimensional entity model of storage grid semi-trailer frame was designed using the Pro/E software. The model was transferred into the ANSYS for static strength analysis. On this basis, bionic structure was introduced into design of semi-trailer frame. The static strength of bionic and traditional structure was contrasted under the same conditions of weight.

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15

Pang, Yueyong, Chi Zhang, Liangchen Zhou, Bingxian Lin, and Guonian Lv. "Extracting Indoor Space Information in Complex Building Environments." ISPRS International Journal of Geo-Information 7, no. 8 (2018): 321. http://dx.doi.org/10.3390/ijgi7080321.

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Indoor space information extraction is an important aspect of reconstruction for building information modeling and a necessary process for geographic information system from outdoor to indoor. Entity model extracting methods provide advantages in terms of accuracy for building indoor spaces, as compared with network and grid model methods, and the extraction results can be converted into a network or grid model. However, existing entity model extracting methods based on a search loop do not consider the complex indoor environment of a building, such as isolated columns and walls or cross-floor

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16

Chen, Yan, Dezhao Lin, Qi Meng, Zengfu Liang, and Zhixiang Tan. "Named Entity Identification in the Power Dispatch Domain Based on RoBERTa-Attention-FL Model." Energies 16, no. 12 (2023): 4654. http://dx.doi.org/10.3390/en16124654.

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Named entity identification is an important step in building a knowledge graph of the grid domain, which contains a certain number of nested entities. To address the issue of nested entities in the Chinese power dispatching domain’s named entity recognition, we propose a RoBERTa-Attention-FL model. This model effectively recognizes nested entities using the span representation annotation method. We extract the output values from RoBERTa’s middle 4–10 layers, obtain syntactic information from the Transformer Encoder layers via the multi-head self-attention mechanism, and integrate it with deep

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17

Alvarez, Gonzalo E. "Integrated modeling of the peer-to-peer markets in the energy industry." International Journal of Industrial Engineering Computations 13, no. 1 (2022): 101–18. http://dx.doi.org/10.5267/j.ijiec.2021.7.002.

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Over time, the number of smart grids installed worldwide is gradually increasing. However, the major portion of the required electricity is still being produced by traditional large-scale and centralized power systems. The main requirement, then, is to study and develop mathematical methods that attend the integration between the two systems previously announced. In this paper, a novel model that addresses this issue is presented. The model minimizes the total operating cost of the large-scale system considering the participation of the smart grid as a dynamic entity, entailing a close relatio

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18

Srinivasan, R., C. R.Balamurugan, and N. Shanmugasundaram. "Design & Simulation of Flexible Control For 3-phase Grid Connected Solar PV System." International Journal of Engineering & Technology 7, no. 2.25 (2018): 148. http://dx.doi.org/10.14419/ijet.v7i2.25.20496.

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A non-linear control progression for 3-stage (phase) lattice (grid) associated of PV generator is proposed here. This system is designed with PV arrays; grid filter; a voltage source inverter and a stimulating lattice or network. The regulator purposes are classified into three sections: i) making sure that the Most power point tracking (MPPT) are having photovoltaic boards, ii) assuring for power or control factor entity or unit in the grid plane iii) ensuring large-scale asymptotic constancy of the closed loop system. Lyapunov modelling approach is used by the controller and carried out by c

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19

Irawan, Dandan. "IDENTITY AND COOPERATIVE COMPETITIVENESS THROUGH THE ICA GRID MODEL APPROACH (Study on Cooperative of Cattle Farming)." International Journal of Research in Community Services 4, no. 2 (2023): 39–47. http://dx.doi.org/10.46336/ijrcs.v4i1.420.

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Cooperatives as a business entity are expected to have a competitive advantage compared to other business entities, thereby providing optimal service to members. In running this business, cooperatives are companies and organizations, so in carrying out their activities they consistently carry out a cooperative identity. For this reason, this study was conducted to find out how the competitive advantages of cooperatives consistently carry out cooperative identity by using the ICA Grid instrument. This research is a case study and was held in Koperasi Pertenak Sapi Bandung Selatan (The Cooperati

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20

Ortigueira-Sánchez, Luis Camilo, Manuel Ortigueira-Bouzada, and Dinaidys Gómez-Selemeneva. "Derived importance-performance analysis and diagonal model in a Spanish municipality." International Review of Administrative Sciences 83, no. 3 (2015): 481–502. http://dx.doi.org/10.1177/0020852315585510.

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This article presents and discusses empirical research into citizen satisfaction, conducted to measure the performance and management of local public policies. The object of the research is to evaluate the public safety policy of a Spanish city through a survey measuring citizen satisfaction with the local public services. Regression and ‘importance-performance analysis’ (IPA) were applied to the views expressed by a sample of citizens. One objective of the study reported is to use different derived importance values, from correlation and regression analysis, to compare the results of two ‘imp

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21

Goncearuc, Andrei, Nikolaos Sapountzoglou, Cedric De Cauwer, Thierry Coosemans, Maarten Messagie, and Thomas Crispeels. "Profitability Evaluation of Vehicle-to-Grid-Enabled Frequency Containment Reserve Services into the Business Models of the Core Participants of Electric Vehicle Charging Business Ecosystem." World Electric Vehicle Journal 14, no. 1 (2023): 18. http://dx.doi.org/10.3390/wevj14010018.

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The current paper defines a framework for the introduction of frequency containment reserve (FCR) services, enabled by vehicle-to-grid (V2G) technology, into the business model of an entity owning and operating electric vehicle (EV) charging infrastructure. Moreover, the defined framework can also be extrapolated, with minor adjustments, to the business models of different core participants of the EV charging business ecosystem. This study also investigates the financial factors impacted by this introduction, eventually evaluating its financial profitability under given assumptions and compari

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22

Jiang, Lanlan, Shengjun Yuan, and Jun Li. "A Discourse Coherence Analysis Method Combining Sentence Embedding and Dimension Grid." Complexity 2021 (November 5, 2021): 1–9. http://dx.doi.org/10.1155/2021/6654925.

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Discourse coherence is strongly associated with text quality, making it important to natural language generation and understanding. However, existing coherence models focus on measuring individual aspects of coherence, such as lexical overlap, entity centralization, rhetorical structure, etc., lacking measurement of the semantics of text. In this paper, we propose a discourse coherence analysis method combining sentence embedding and the dimension grid, we obtain sentence-level vector representation by deep learning, and we introduce a coherence model that captures the fine-grained semantic tr

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Sun, Feng Jie, Hui Juan Liu, and He Chen. "Implementation and Optimization of Transmission Line 3d Scene Based on VR." Applied Mechanics and Materials 668-669 (October 2014): 695–98. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.695.

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This paper describes the influences of transmission line on the safety and reliability of grid, and illustrates the necessary of visual management of transmission lines. Virtual 3d scene modeling method is introduced in detail, including Virtual 3d scene modeling and virtual 3d entity modeling. According to the characteristics of transmission line, the 3d scene of transmission line ia designed and implemented. At last, Virtual reality modeling language (VRML) is used to complete the optimization of the established model and the experimental results show that the data size of the optimized mode

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Zhao, Yan, Yu Feng Li, Song Wei Wang, and Yin Huan Zheng. "Analysis on Dynamic Piezoelectric Coupling Characteristics of PZT-4." Applied Mechanics and Materials 275-277 (January 2013): 2432–35. http://dx.doi.org/10.4028/www.scientific.net/amm.275-277.2432.

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Structural behavior of piezoelectric stacks has a great impact on electromechanical conversion efficiency of highway piezoelectric generators. In this paper, a single piezoelectric ceramic chip in piezoelectric stack structure was regarded as the object of study to construct the ANSYS model of a single piezoelectric ceramic entity. The selection of SOLID5 makes the piezoelectric ceramic chip into the grid cube and by the coupling field, maintains five aspects of static and dynamic piezoelectric coupling characteristic simulation analysis respectively, including static analysis, modal analysis,

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Li, Da, Dong Wang, Wei Jiang, et al. "An Effective Credit Evaluation Mechanism with Softmax Regression and Blockchain in Power IoT." Security and Communication Networks 2022 (February 14, 2022): 1–12. http://dx.doi.org/10.1155/2022/3842077.

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This paper is oriented to the credit investigation scenario of power grid supply chain enterprises and proposes a blockchain user credit assessment method based on improved Softmax regression in Power IoT. This method first designs a credit-rating mechanism that meets industry characteristics based on business needs. Second, it proposes a user credit evaluation model based on the blockchain architecture. Finally, the improved Softmax regression algorithm is used to train the proposed credit evaluation model, which effectively solves the credit rating. The multiclassification problem has achiev

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Sapkal, Medha, Ninaad Sarulkar, Kaif Shaikh, Prathmesh Sarode, and Prof A. A. Shirode. "A Captcha-Based Graphical Password with Strong Password Space and Usability Study." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 274–81. http://dx.doi.org/10.22214/ijraset.2023.49072.

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stract: Security for authentication is required to give a superlative secure users’ personal information. This paper presents a model of the Graphical password scheme under the impact of security and ease of use for user authentication. We integrate the concept of recognition with re-called and cued- recall based schemes to offer superior security compared to existing schemes. Click Symbols (CS) Alphabet combine into one entity: Alphanumeric (A) and Visual (V) symbols (CS-AV) is Captcha-based password scheme, we integrate it with recall- based n×n grid points, where a user can draw the shape o

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Gao, Ying, Juan Wei, Xing Chun Yang, and Qiang Li. "Simulation of Air Distribution on Inlet Section of Wet-ESP." Applied Mechanics and Materials 437 (October 2013): 231–35. http://dx.doi.org/10.4028/www.scientific.net/amm.437.231.

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Based on the theory of two-phase flow, the flow field of dust particles inside the wet electrostatic precipitator with SIMPLE algorithm was modeled used a standard turbulence model and simulated numerically. Establishment of finite element model for the entity porous plate was done with grid refined locally. The number and installation position of porous plates, the diverging angle of the horn inlet and the opening rate of air distribution plates were changed in this simulation. And the studies on the airflow distribution of the inlet section were performed, in which the flow of key parameters

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He, Lanfei, Xuefei Zhang, Zhiwei Li, et al. "A Chinese Named Entity Recognition Model of Maintenance Records for Power Primary Equipment Based on Progressive Multitype Feature Fusion." Complexity 2022 (February 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/8114217.

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Presently, the State Grid Corporation of China has accumulated a large amount of maintenance records for power primary equipment. Unfortunately, most of these records are unstructured data which lead to difficultly analyze and utilize them. The emergence of natural language processing technology and deep learning methods provide a solution for unstructured text data. This paper proposes a progressive multitype feature fusion model to recognize Chinese named entity of unstructured maintenance records for power primary equipment. Firstly, the textual characteristics and word separation difficult

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Herbert, Eti Best. "Application of Electricity Federalism in Nigeria: Drawing Inspiration from America." African Journal of International and Comparative Law 29, no. 2 (2021): 223–43. http://dx.doi.org/10.3366/ajicl.2021.0361.

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This paper examines the theory and practice of electricity federalism in the Nigerian federation. Although Nigeria is an American-styled federal entity, its practice does not reflect the true principles of federalism as practiced in America. Nigeria's electricity sector is a reflection of its imperfect practice of federalism. The effect is felt in the poor performance of the electricity sector, especially off-grid undertakings. Thus, this study turns to the practice of electricity federalism in the United State of America as a model federalist system from which Nigeria can draw inspiration tow

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Hu, Diandian, and Tao Wang. "Optimizing Power Demand Side Response Strategy: A Study Based on Double Master–Slave Game Model of Multi-Objective Multi-Universe Optimization." Energies 16, no. 10 (2023): 4009. http://dx.doi.org/10.3390/en16104009.

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In the pilot provinces of China’s electricity spot market, power generation companies usually adopt the separate bidding mode, which leads to a low willingness of demand-side response and poor flexibility in the interaction mechanism between supply and demand. Based on the analysis of the demand response mechanism of the power day-ahead market with the participation of power sales companies, this paper abstracted the game process of the “power grid-sales company-users” tripartite competition in the electricity market environment into a two-layer (purchase layer/sales layer) game model and prop

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31

Ji, Jian, Zhihao Ma, Jiajun He, Yingjun Xu, and Zhiqiang Liu. "Research on Risk Evaluation and Dynamic Escape Path Planning Algorithm Based on Real-Time Spread of Ship Comprehensive Fire." Journal of Marine Science and Engineering 8, no. 8 (2020): 602. http://dx.doi.org/10.3390/jmse8080602.

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As an independent building entity on the sea, the ship has a large number of internal electrical equipment and a compact space structure, which is prone to fire. This paper proposes a key technology of virtual dynamic escape of ships based on the fire spread prediction model for research. Taking the 63,500 DWT(Dead Weight Tonnage) tanker cabin as a research entity, the mathematical and physical models of ship fire simulation are established. Through the graphical analysis of the experimental data of the fire spread simulation, the temperature, CO concentration, and smoke concentration change r

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Gebeyehu, Seffi, Worke Wolde, and Zelalem S. Shibeshi. "Information extraction model from Ge’ez texts." Indonesian Journal of Electrical Engineering and Computer Science 30, no. 2 (2023): 787. http://dx.doi.org/10.11591/ijeecs.v30.i2.pp787-795.

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Nowadays, voluminous and unstructured textual data is found on the Internet that could provide varied valuable information for different institutions such as health care, business-related, training, religion, culture, and history, among others. A such alarming growth of unstructured data fosters the need for various methods and techniques to extract valuable information from unstructured data. However, exploring helpful information to satisfy the needs of the stakeholders becomes a problem due to information overload via the internet. This paper, therefore, presents an effective model for extr

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Singla, Pardeep, Manoj Duhan, and Sumit Saroha. "Review of Different Error Metrics: A Case of Solar Forecasting." AIUB Journal of Science and Engineering (AJSE) 20, no. 4 (2021): 158–65. http://dx.doi.org/10.53799/ajse.v20i4.212.

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Renewable energy systems (RES) are no longer confined to being used as a stand-alone entity in the modern era. These RES, especially solar panels are also used with the grid power systems to supply electricity. However, precise forecasting of solar irradiance is necessary to ensure that the grid operates in a balanced and planned manner. Various solar forecasting models (SFM) are presented in the literature to produce an accurate solar forecast. Nevertheless, each model has gone through the step of evaluation of its accuracy using some error measures. Many error measures are discussed in the l

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Kumari, Namita, Ankush Sharma, Binh Tran, Naveen Chilamkurti, and Damminda Alahakoon. "A Comprehensive Review of Digital Twin Technology for Grid-Connected Microgrid Systems: State of the Art, Potential and Challenges Faced." Energies 16, no. 14 (2023): 5525. http://dx.doi.org/10.3390/en16145525.

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The concept of the digital twin has been adopted as an important aspect in digital transformation of power systems. Although the notion of the digital twin is not new, its adoption into the energy sector has been recent and has targeted increased operational efficiency. This paper is focused on addressing an important gap in the research literature reviewing the state of the art in utilization of digital twin technology in microgrids, an important component of power systems. A microgrid is a local power network that acts as a dependable island within bigger regional and national electricity ne

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Pu, Fei, Zhongwei Zhang, Yan Feng, and Bailin Yang. "Learning Context-based Embeddings for Knowledge Graph Completion." Journal of Data and Information Science 7, no. 2 (2022): 84–106. http://dx.doi.org/10.2478/jdis-2022-0009.

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Abstract Purpose Due to the incompleteness nature of knowledge graphs (KGs), the task of predicting missing links between entities becomes important. Many previous approaches are static, this posed a notable problem that all meanings of a polysemous entity share one embedding vector. This study aims to propose a polysemous embedding approach, named KG embedding under relational contexts (ContE for short), for missing link prediction. Design/methodology/approach ContE models and infers different relationship patterns by considering the context of the relationship, which is implicit in the local

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Pu, Fei, Zhongwei Zhang, Yan Feng, and Bailin Yang. "Learning Context-based Embeddings for Knowledge Graph Completion." Journal of Data and Information Science 7, no. 2 (2022): 84–106. http://dx.doi.org/10.2478/jdis-2022-0009.

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Abstract Purpose Due to the incompleteness nature of knowledge graphs (KGs), the task of predicting missing links between entities becomes important. Many previous approaches are static, this posed a notable problem that all meanings of a polysemous entity share one embedding vector. This study aims to propose a polysemous embedding approach, named KG embedding under relational contexts (ContE for short), for missing link prediction. Design/methodology/approach ContE models and infers different relationship patterns by considering the context of the relationship, which is implicit in the local

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Mahajan, Rini, and Dr Dheerendra Singh. "Cloud Computing Issues." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 2 (2005): 626–30. http://dx.doi.org/10.24297/ijct.v4i2c2.4185.

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Abstract- Cloud computing is Internet-based computing, whereby shared resources, software and information, are provided to computers and devices on-demand, like the electricity grid. It aims to construct a perfect system with powerful computing capability through a large number of relatively low-cost computing entity, and using the advanced business models like SaaS (Software as a Service), PaaS (Platform as a Service), IaaS (Infrastructure as a Service) to distribute the powerful computing capacity to end usersâ€™ hands. Cloud Computing represents a new computing model that poses many demandi

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Li, Yuantian, and Xiaojing Wang. "Community Integrated Energy System Multi-Energy Transaction Decision Considering User Interaction." Processes 10, no. 9 (2022): 1794. http://dx.doi.org/10.3390/pr10091794.

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With the gradual liberalization of China’s energy market, the distributed characteristics of each entity in the community integrated energy system are more and more obvious, and the traditional centralized optimization is difficult to reveal the interaction between the entities. This paper aims to improve the profit of the community operator and the users’ value-added benefit of energy use, and proposes a multi-energy transaction decision of a community integrated energy system considering user interaction. First, a refined model of user interaction, including energy conversion, is established

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Bazmohammadi, Najmeh, Amjad Anvari-Moghaddam, Ahmadreza Tahsiri, Ahmad Madary, Juan C. Vasquez, and Josep M. Guerrero. "Stochastic Predictive Energy Management of Multi-Microgrid Systems." Applied Sciences 10, no. 14 (2020): 4833. http://dx.doi.org/10.3390/app10144833.

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Next-generation power systems will require innovative control strategies to exploit existing and potential capabilities of developing renewable-based microgrids. Cooperation of interconnected microgrids has been introduced recently as a promising solution to improve the operational and economic performance of distribution networks. In this paper, a hierarchical control structure is proposed for the integrated operation management of a multi-microgrid system. A central energy management entity at the highest control level is responsible for designing a reference trajectory for exchanging power

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Martínez-Villaseñor, Lourdes, Hiram Ponce, José Antonio Marmolejo-Saucedo, Juan Manuel Ramírez, and Agustina Hernández. "Analysis of Constraint-Handling in Metaheuristic Approaches for the Generation and Transmission Expansion Planning Problem with Renewable Energy." Complexity 2018 (October 2, 2018): 1–22. http://dx.doi.org/10.1155/2018/1438196.

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A multiperiod generation and transmission expansion planning (G&TEP) problem is considered. This model integrates conventional generation with renewable energy sources, assuming a stochastic approach. The proposed approach is based on a centralized planned transmission expansion. Due to the worldwide recent energy guidelines, it is necessary to generate expansion plans adequate to the forecast demand over the next years. Nowadays, in most energy systems, a public entity develops both the short and long of electricity-grid expansion planning. Due to the complexity of the problem, there are

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Yang, Shenbo, Zhongfu Tan, Liwei Ju, et al. "An Income Distributing Optimization Model for Cooperative Operation among Different Types of Power Sellers Considering Different Scenarios." Energies 11, no. 11 (2018): 2895. http://dx.doi.org/10.3390/en11112895.

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To alleviate the shortcomings of large-scale grid connections for clean energy, which require stable thermoelectric units to provide backup services, a stable cooperative alliance among different energy types of power sellers must be established. Consequently, a reasonable method to distribute income is required, due to different contributions of each entity in the alliance. Therefore, this paper constructs a comprehensive correction algorithm for income distribution using an improved Shapely value method. We analyze the operating mode of the power seller, and establish the net income calculat

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Prieto Cerón, Carlos E., Luís F. Normandia Lourenço, Juan S. Solís-Chaves, and Alfeu J. Sguarezi Filho. "A Generalized Predictive Controller for a Wind Turbine Providing Frequency Support for a Microgrid." Energies 15, no. 7 (2022): 2562. http://dx.doi.org/10.3390/en15072562.

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The power system is moving away from the centralized generation paradigm. One of the current trends is the microgrid concept, where loads, small generators and renewable energy resources (RERs) that are in close proximity are controlled as one entity. Microgrids also allow for an increase in power availability as they can continue to supply electric power to loads even in the absence of a connection to the main grid. During the transition to islanded operation, microgrids may be subject to frequency disturbances caused by the power imbalance between load and generation. When microgrids contain

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Faia, Ricardo, Pedro Faria, Zita Vale, and João Spinola. "Demand Response Optimization Using Particle Swarm Algorithm Considering Optimum Battery Energy Storage Schedule in a Residential House." Energies 12, no. 9 (2019): 1645. http://dx.doi.org/10.3390/en12091645.

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Demand response as a distributed resource has proved its significant potential for power systems. It is capable of providing flexibility that, in some cases, can be an advantage to suppress the unpredictability of distributed generation. The ability for participating in demand response programs for small or medium facilities has been limited; with the new policy regulations this limitation might be overstated. The prosumers are a new entity that is considered both as producers and consumers of electricity, which can provide excess production to the grid. Moreover, the decision-making in facili

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Zwally, H. Jay, Mario Giovinetto, Mike Craven, Vin Morgan, and Ian Goodwin. "Areal distribution of the oxygen-isotope ratio in Antarctica: comparison of results based on field and remotely sensed data." Annals of Glaciology 27 (1998): 583–90. http://dx.doi.org/10.3189/s0260305500018097.

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An updated compilation of oxygen-isotope ratio data for 562 sites in Antarctica shows a significant increase in the number of sites and an improvement in the representation of the coastal zone oyer previous versions. The data hase consists of ratio values (δ18O; multi-year mean 18O/16O relative to Standard Mean Ocean Water, in ‰) compiled as the dependent variable, together with data for the so-called independent variables: latitude, surface elevation, mean annual surface temperature and mean annual shortest distance to open ocean denoted by the 20% sea-ice concentration boundary. The problem

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Donges, Jonathan F., Jobst Heitzig, Wolfram Barfuss, et al. "Earth system modeling with endogenous and dynamic human societies: the copan:CORE open World–Earth modeling framework." Earth System Dynamics 11, no. 2 (2020): 395–413. http://dx.doi.org/10.5194/esd-11-395-2020.

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Abstract. Analysis of Earth system dynamics in the Anthropocene requires explicitly taking into account the increasing magnitude of processes operating in human societies, their cultures, economies and technosphere and their growing feedback entanglement with those in the physical, chemical and biological systems of the planet. However, current state-of-the-art Earth system models do not represent dynamic human societies and their feedback interactions with the biogeophysical Earth system and macroeconomic integrated assessment models typically do so only with limited scope. This paper (i) pro

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Sukoriansky, S., B. Galperin, and V. Perov. "A quasi-normal scale elimination model of turbulence and its application to stably stratified flows." Nonlinear Processes in Geophysics 13, no. 1 (2006): 9–22. http://dx.doi.org/10.5194/npg-13-9-2006.

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Abstract. Models of planetary, atmospheric and oceanic circulation involve eddy viscosity and eddy diffusivity, KM and KH, that account for unresolved turbulent mixing and diffusion. The most sophisticated turbulent closure models used today for geophysical applications belong in the family of the Reynolds stress models. These models are formulated for the physical space variables; they consider a hierarchy of turbulent correlations and employ a rational way of its truncation. In the process, unknown correlations are related to the known ones via "closure assumptions'' that are based upon phys

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Heugenhauser, J., S. Herbst, T. Drucks, et al. "P13.06.A RADIOMIC FEATURES FOR RISK-STRATIFICATION IN PATIENTS WITH BRAIN METASTASES." Neuro-Oncology 25, Supplement_2 (2023): ii101—ii102. http://dx.doi.org/10.1093/neuonc/noad137.340.

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Abstract BACKGROUND Recently, non-invasive characterization of brain tumors on MRI has emerged as a promising field of research. The identification of quantitative imaging biomarkers, also known as radiomics, may complement molecular characterization and thereby improve clinical management of neuro-oncologic patients. In this study we aimed to identify imaging predictors with improved performance over clinical parameters in order to stratify patients with brain metastases into high and low risk groups for overall survival (OS). MATERIAL AND METHODS 422 patients (allocated in a 3:1 ratio to a d

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Riznyk, V. V. "FORMALIZATION CODING METHODS OF INFORMATION UNDER TOROIDAL COORDINATE SYSTEMS." Radio Electronics, Computer Science, Control, no. 2 (July 7, 2021): 144–53. http://dx.doi.org/10.15588/1607-3274-2021-2-15.

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Contents. Coding and processing large information content actualizes the problem of formalization of interdependence between information parameters of vector data coding systems on a single mathematical platform. Objective. The formalization of relationships between information parameters of vector data coding systems in the optimized basis of toroidal coordinate systems with the achievement of a favorable compromise between contradictory goals. Method. The method involves the establishing harmonious mutual penetration of symmetry and asymmetry as the remarkable property of real space, which a

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Youngsam Kim, 김홍기, and Hyopil Shin. "A comparative study of Entity-Grid and LSA models on Korean sentence ordering." Korean Journal of Cognitive Science 24, no. 4 (2013): 301–21. http://dx.doi.org/10.19066/cogsci.2013.24.4.001.

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Dzyuba, Anatolyy, Irina Solovyeva, and Aleksandr Semikolenov. "Raising the Resilience of Industrial Manufacturers through Implementing Natural Gas-Fired Distributed Energy Resource Systems with Demand Response." Sustainability 15, no. 10 (2023): 8241. http://dx.doi.org/10.3390/su15108241.

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The use of relatively small-scale distributed electric power generation sources is one of the key focus areas in the development of global industry and regional power generation. By integrating distributed generation sources into their on-site energy infrastructure, industrial consumers gain new characteristics and possibilities as entities of the power system that do not only consume power, but in fact can flexibly generate and deliver electricity to local and even centralized grids. This type of entity is called a distributed energy resource system with demand response (Russian: ‘active ener

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