Academic literature on the topic 'Entity Grid Model'
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Journal articles on the topic "Entity Grid Model"
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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 (August 22, 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 consumption, resulting in poor accuracy and adaptability of these methods. To address these problems, an enhanced density peak model-based power grid reactive voltage partitioning method is proposed in this paper, called EDPVP. First, the power grid is modeled as a weighted reactive network to consider entity electrical differences. Second, the novel local density and density following distance are designed to enhance the density peak model to address the problem that the traditional density peak model cannot adapt to weighted networks. Finally, the enhanced density peak model is further equipped with an optimized cluster centers selection strategy and an updated remaining node assignment strategy, to better identify irregular and uneven density distribution of electricity consumption, and to achieve fast and accurate reactive voltage partition. Experiments on two real power grids demonstrate the effectiveness of the EDPVP.
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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 (May 26, 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 Field (Bi-LSTM-CRF) model and introduce the SoftLexicon method for a Chinese NER task. At the same time, according to the analysis of the characteristics of application scenario, we propose a fuzzy matching module based on the combination of multiple methods. This module can efficiently modify the error recognition results, which can further improve the performance of entity recognition. We combine the NER model and the fuzzy matching module into an NER system. To explore the availability of the system in some specific fields, such as a power grid field, we utilize the power grid-related original data collected by the Hebei Electric Power Company to improve our system according to the characteristics of data in the power grid field. We innovatively make the dataset and high-frequency word lexicon in the power grid field, which makes our proposed NER system perform better in recognizing entities in the field of power grid. We used the cross-validation method for validation. The experimental results show that the F1-score of the improved NER model on the power grid dataset reaches 92.43%. After processing the recognition results by using the fuzzy matching module, about 99% of the entities in the test set can be correctly recognized. It proves that the proposed NER system can achieve excellent performance in the application scenario of a power grid. The results of this work will also fill the gap in the research of intelligent customer-service-related technologies in the power grid field in China.
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Irawan, Dandan. "Positioning Koperasi Melalui Pendekatan ICA Grid Model." Coopetition : Jurnal Ilmiah Manajemen 12, no. 3 (November 2, 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 also in an environment where market conditions sometimes do not apply. Therefore for cooperatives it is important to know where their position is at certain times in an effort to maintain and secure their identity, with the aim of maintaining their existence as a cooperative.
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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 (May 27, 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 University in 2010 to evaluate the trustworthiness of a resource provider in Grid environment. Objective: This paper firstly focuses and illustrates these essential parameters. Based on these parameters, further, a comparison of some existing models for trust evaluation is shown. Finally, common parameters missed out by various models have been highlighted giving way for improvements of Trust model. Methods: A Trust evaluation model has been proposed by us previously based on a number of real-world trust evaluation parameters. This model sees trust as a three-dimensional entity. Trust is based on Dempter Shafer’s theory in which trust is calculated mathematically. Results: Software trust needs to be calculated mathematically. There are a large number of real-world parameters that need to be included for evaluating trust. Conclusion: As trust models in research are based on simulation techniques, so it is important to include real-world factors that affect trust value of one entity on other. Some of those parameters, missed by most of the models have been identified for inclusion in future trust models.
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Mirz, Markus, Lukas Razik, Jan Dinkelbach, Halil Alper Tokel, Gholamreza Alirezaei, Rudolf Mathar, and Antonello Monti. "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 identified for typical use cases through a discussion of the recent literature. Based on the identified requirements and use cases, a joint representation of the smart grid ecosystem is facilitated by a comprehensive data model. The proposed data model is then integrated in a software architecture, where the domain-specific simulators for the power grid, the communication network, and the market mechanisms are combined in a cosimulation framework. The details of the software architecture and its implementation are presented. Finally, the implemented framework is used for the cosimulation of a virtual power plant, where battery storages are controlled by a novel peak-shaving algorithm, and the battery storages and the market entity are interfaced through a communication network.
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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 (September 3, 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 conducted for two cases in different spatial environments. The prototype system can be used to obtain grid object data with 3D model data, to compute and simulate the behavior of individuals, and to render individuals. The two cases involve goal-driven behavior in both indoor and outdoor environments as examples to evaluate the validity of the GOAM and to provide a reference for building individual behavior simulation with the GOAM in other scenarios.
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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 (March 1, 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 small sample of user interactions. In addition, the cumulative learning of user personalization during general retrieval results in a poor perception of potential interest. By constructing a power knowledge graph, this paper presents a power fault retrieval and recommendation model (PF2RM) based on user-polymorphic perception. This model includes two methods: the power fault retrieval method (PFR) and the user-polymorphic retrieval recommendation method (UPRR). First, we take the power grid fault dispatching business as the core and reconstruct the ontology layer of the power knowledge graph. The PFR method is used to design the graph-neighbor fault entity cluster to enhance the polymerization degree of a fault implementation scenario. This method can solve the search cold-start recommendation problem. At the same time, the UPRR method aims to form user retrieval subgraphs of the past-state and current-state and make a feature matching for the graph-neighbor fault entity cluster, and then realize the accurate prediction of the user’s general search intention. The model is compared with other current classical models through the evaluation of multiple recommendation evaluation metrics, and the experimental results show that the model has a 3–8% improvement in the cold-start recommendation effect and 2–10% improvement in regular retrieval. The model has the best average recommendation performance in multiple metrics and has good results in fault analysis and retrieval recommendation. It plays a helpful role in intelligent operation and maintenance of the power grid and auxiliary decision-making, and effectively improves the reliability of the power grid.
Dissertations / Theses on the topic "Entity Grid Model"
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Bsoul, Mohammad. "Economic scheduling in Grid computing using Tender models." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/3094.
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Economic scheduling needs to be considered for Grid computing environment, because it gives an incentive for resource providers to supply their resources. Moreover, it enforces efficient use of resources, because the users have to pay for their use. Tendering is a suitable model for Grid scheduling because users start the negotiations for finding suitable resources for executing their jobs. Furthermore, the users specify their job requirements with their requests and therefore the resources reply with bids that are based on the cost of taking on the job and the availability of their processors. In this thesis, a framework for economic Grid scheduling using tendering is proposed. The framework entities such as users, brokers and resources employ tender/contract-net model to negotiate the prices and deadlines. The brokers' role is acting on behalf of users. During the negotiations, the entities aim to maximise their performance which is measured by a number of metrics. In order to evaluate the entities' performance under different scenarios, a Java- based simulator, called MICOSim, supporting event-driven simulation of economic Grid scheduling is presented. MICOSim can perform a simulation of more than one hundred entities faster than real time. It is concluded from the evaluation that users who are interested in increasing the job success rate and paying less for executing their jobs have to consider received prices to select the most appropriate bids, while users who are interested in improving the job average satisfaction rate have to consider either received completion time or both price and completion time to select the most suitable bids when the submission of jobs is static. The best broker strategy is the one that doesn't take into account meeting the job deadlines in the bids it sends to job owners. Finally, the resource strategy that considers the price to determine if to reply to a request or not is superior to other resource strategies. The only exception is employing this strategy with price that is too low. However, there is a tiny difference between the performances of different user strategies in dynamic submission. It is also concluded from the evaluation that broker strategies have the best performance when the revenue they target from the users is reasonable. Thus, the broker's aim has to be receiving reasonable revenue (neither too low nor too high) from acting on behalf of users. It is observed from the results that the strategy performance is influenced by the behaviour of other entities such as the submission time of user jobs. Finally, it is observed that the characteristics of entities have an effect on the performance of strategies. For example, the two user strategies that consider the received completion time and both price and completion time to determine if to accept a broker bid have similar performance, because of the existence of resources with various prices from cheap to expensive and existence of resources which don't care about the price paid for the execution. So, the price threshold doesn't have a large effect on the performance.
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Eriksson, Pernilla, and Martin Sundell. "EXPLORING MARKET FORCES FOR TRANSMISSION EXPANSION AND GRID STORAGE INTEGRATION : A technical-economic thesis about variation moderators for intermittent renewable power generation in the developed country of Sweden and the developing country of China." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28560.
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SHAH, RAJIV RATN. "Automatic Evaluating Text Coherence using Discourse Relations." Thesis, 2013. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14260.
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This thesis considers the problem of automatic evaluation of text coherence. The task of text coherence in linguistics is what makes a text semantically meaningful. Automatic Evaluating Text Coherence, the task of determining which text is more coherent between given pair of text and its sentence ordered permutation. This work has been at the core of the field of Natural Language Processing for the past few years. Natural Language Processing is often described as a discipline that relates to human ability with what computers can do. Study of Natural Language Processing helps us to achieve human level performance through computers. The task of determining which given text is more coherent is very important and challenging problem in Natural Language Processing. One famous application of text coherency can be applied to impose an order on sentences for multi-document summarization. With the tremendous growth of data, users are expecting more relevant and sophisticated information which may be determined by Text Summarization. Natural Language Processing is often described as a discipline to develop applications related to human linguistics. It involves different techniques and algorithms to determine which text is more coherent between given pair of text and its sentence ordered permutation and it can be applicable to NLP application of text summarization. The idea of modeling automatic evaluating text coherence may apply to differentiating a text from its permutation (i.e., the sentence ordering of the text is shuffled) and identifying a more well-written essay from a pair.
In this thesis, we propose a novel approach for determining the automatic evaluating text coherence which is the combination of the new and other related text coherency techniques. Also we prove its effectiveness over various previous techniques such as Entity Grid Relations and Discourse Relations over Entity Grid Model. Entity Grid
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Relations is the first popular technique for automatic evaluating text coherence but accuracy of this model is quite less than human level performance of task of evaluating text coherence. To improve the accuracy of Entity Grid Model, Discourse Relations imposed over Entity Grid Model have become popular (Lin et. al., 2011). (Lin et. al., 2011) have employed a Discourse Relation Matrix to determine discourse relation transitions of different length. However, the accuracy of Discourse Relations Model is still less than accuracy of human evaluator in evaluating text coherence task.
Our proposed model is able to decide which text is more coherent. We have presented a novel approach to combine few independent semantic features to determine the coherency of text. Our study of linguistics tells us that co-reference plays a vital role in determining the coherency of a text. In particular there exist model of the noun phrase syntax used for distance (named hobb distance) between noun phrase and its co-reference with statistical distribution of the discourse structure and relations. We have considered the text coherency problem as ranking learning problem because for a given pair a text is more coherent than the other. Our system ranks high coherent text with higher score. Our experiments have shown that combining these features together lead to improvement in accuracy of automatic evaluating text coherence. We apply Penn Discourse Treebank (PDTB) discourse relations values (Lin et. al., 2011) and Noun Phrase co-reference over the Entity Grid Model by Barzilay and Lapata (2005; 2008), a popular model of local coherence. Our experiments and results demonstrate that our model achieves higher accuracy than baseline model. The accuracy of our system is closest to the accuracy of human evaluators than other existing model for automatically evaluating text coherence.Mr. MANOJ KUMAR Associate Professor Delhi Technological University
Books on the topic "Entity Grid Model"
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Bianconi, Ginestra. Classical Percolation, Generalized Percolation and Cascades. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0012.
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This chapter characterizes the robustness of multiplex and multilayer networks using classical percolation, directed percolation and antagonistic percolation. Classical percolation determines whether a finite fraction of nodes of the multilayer networks are connected by any type of connection. Classical percolation can be affected by multiplexity since the degree correlations among different layers can modulate the robustness of the entire multilayer network. Directed percolation describes the propagation of a disease requiring cooperative infection from different layers of the multiplex network. It displays a rich phase diagram including both continuous and discontinuous phase transitions. Antagonist percolation on a duplex network describes the competition between two layers and can give rise to hysteresis loops corresponding to phases that either one layer or the other can percolate Avalanches generated by the generalized Sandpile Model and Watts–Strogatz Model are also discussed, emphasizing their relevance for studying the stability of power grids and financial systems.
Book chapters on the topic "Entity Grid Model"
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Montes, Jesús, Alberto Sánchez, Julio J. Valdés, María S. Pérez, and Pilar Herrero. "The Grid as a Single Entity: Towards a Behavior Model of the Whole Grid." In On the Move to Meaningful Internet Systems: OTM 2008, 886–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88871-0_62.
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Yokono, Hikaru, and Manabu Okumura. "Incorporating Cohesive Devices into Entity Grid Model in Evaluating Local Coherence of Japanese Text." In Computational Linguistics and Intelligent Text Processing, 303–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12116-6_25.
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Navigli, Roberto, Riccardo Orlando, Cesare Campagnano, and Simone Conia. "Universal Semantic Annotator." In European Language Grid, 349–54. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17258-8_28.
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AbstractExplicit semantic knowledge has often been considered a necessary ingredient to enable the development of intelligent systems. However, current stateof- the-art tools for the automatic extraction of such knowledge often require expert understanding of the complex techniques used in lexical and sentence-level semantics and their linguistic theories. To overcome this limitation and lower the barrier to entry, we present the Universal Semantic Annotator (USeA) ELG pilot project, which offers a transparent way to automatically provide high-quality semantic annotations in 100 languages through state-of-the-art models, making it easy to exploit semantic knowledge in real-world applications.
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Makri, Chaymae, Said Guedira, Imad El Harraki, and Soumia El Hani. "Predicting the Energy Demand for Micro-grids in an Industrial Entity Using EEMD-LSTM-AM Model." In Science, Engineering Management and Information Technology, 3–22. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40398-9_1.
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"Strategic Review of the Organisation for Public Service Delivery in the Digital Era." In Information Systems Strategic Planning for Public Service Delivery in the Digital Era, 117–34. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-9647-9.ch006.
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This chapter initiates the pathway through the ISSP framework described in the previous chapter. The chapter focuses on three aspects. It provides the approach for conducting the organisational information systems strategic review applying McFarlan's Strategic Grid. This model helps an organisation to determine the focus of its current application systems, where the entity wishes to be in the future, and generally assess where the competition (or best practice benchmark entity) is currently positioned. The chapter then provides a method to carry out the organisational data usage strategic review applying Marchand's Area of Information Use model. This model aids management to determine to what purpose the current available information is being utilised. Finally, the chapter illustrates how a government entity may conduct a review of its customer persona profiles to enable it to explicitly know its customers, thus enabling it to promote and target its specific services. All the models and techniques applied in this chapter are supported by examples.
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Conover, Adam J. "A Simulation of Temporally Variant Agent Interaction via Belief Promulgation." In Handbook of Research on Agent-Based Societies, 261–74. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-236-7.ch018.
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This chapter concludes a two part series which examines the emergent properties of multi-agent communication in “temporally asynchronous” environments. Many traditional agent and swarm simulation environments divide time into discrete “ticks” where all entity behavior is synchronized to a master “world clock”. In other words, all agent behavior is governed by a single timer where all agents act and interact within deterministic time intervals. This discrete timing mechanism produces a somewhat restricted and artificial model of autonomous agent interaction. In addition to the behavioral autonomy normally associated with agents, simulated agents should also have “temporal autonomy” in order to interact realistically. This chapter focuses on the exploration of a grid of specially embedded, message-passing agents, where each message represents the communication of a core “belief”. Here, we focus our attention on the how the temporal variance of belief propagation from individual agents induces emergent and dynamic effects on a global population.
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Conover, Adam J. "A Simulation of Temporally Variant Agent Interaction via Belief Promulgation." In Machine Learning, 913–27. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch411.
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This chapter concludes a two part series which examines the emergent properties of multi-agent communication in “temporally asynchronous” environments. Many traditional agent and swarm simulation environments divide time into discrete “ticks” where all entity behavior is synchronized to a master “world clock”. In other words, all agent behavior is governed by a single timer where all agents act and interact within deterministic time intervals. This discrete timing mechanism produces a somewhat restricted and artificial model of autonomous agent interaction. In addition to the behavioral autonomy normally associated with agents, simulated agents should also have “temporal autonomy” in order to interact realistically. This chapter focuses on the exploration of a grid of specially embedded, message-passing agents, where each message represents the communication of a core “belief”. Here, we focus our attention on the how the temporal variance of belief propagation from individual agents induces emergent and dynamic effects on a global population.
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Singh, Ranjit Singh Sarban, and Maysam Abbod. "Self-Assistive Controller Using Voltage Droop Method for DC Distributed Generators and Storages." In Cases on Green Energy and Sustainable Development, 379–405. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-8559-6.ch014.
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With the rapid growth of distributed generation currently, DC microgrids energy system structure is being deployed in parallel with, or independently from, the main power grid network. The DC microgrids energy system structure is designed to provide an effective coordination with the aggregating distributed generators, energy storage, and connected loads. In this sense, the DC microgrids energy system structure can be connected to the grid network or can be off-grid network. In the mode of grid network connected, DC microgrids energy system structure is presented as a controllable entity. When it is necessary, DC microgrids energy system is connected in islanded mode to deliver reliable power to the grid network during the interrupted power supply from the grid network system. Having said that, the DC microgrids energy system structure is encompassed of renewable energy sources, energy storages and loads, and not excluding the grid network transmission. Hence, this chapter proposes to focus on designing and modelling a self-assistive controller using voltage droop method for DC distributed generators and storages which is a part of the DC microgrids energy system structure.
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Chang, Victor, Chung-Sheng Li, David De Roure, Gary Wills, Robert John Walters, and Clinton Chee. "The Financial Clouds Review." In Grid and Cloud Computing, 1062–83. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0879-5.ch503.
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This paper demonstrates financial enterprise portability, which involves moving entire application services from desktops to clouds and between different clouds, and is transparent to users who can work as if on their familiar systems. To demonstrate portability, reviews for several financial models are studied, where Monte Carlo Methods (MCM) and Black Scholes Model (BSM) are chosen. A special technique in MCM, Least Square Methods, is used to reduce errors while performing accurate calculations. Simulations for MCM are performed on different types of Clouds. Benchmark and experimental results are presented for discussion. 3D Black Scholes are used to explain the impacts and added values for risk analysis. Implications for banking are also discussed, as well as ways to track risks in order to improve accuracy. A conceptual Cloud platform is used to explain the contributions in Financial Software as a Service (FSaaS) and the IBM Fined Grained Security Framework. This study demonstrates portability, speed, accuracy, and reliability of applications in the clouds, while demonstrating portability for FSaaS and the Cloud Computing Business Framework (CCBF).
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Kumar, Manoj Prabhakaran, and Manoj Kumar Rajagopal. "Facial Emotion Recognition System Using Entire Feature Vectors and Supervised Classifier." In Deep Learning Applications and Intelligent Decision Making in Engineering, 76–113. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2108-3.ch003.
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This chapter proposes the facial expression system with the entire facial feature of geometric deformable model and classifier in order to analyze the set of prototype expressions from frontal macro facial expression. In the training phase, the face detection and tracking are carried out by constrained local model (CLM) on a standardized database. Using the CLM grid node, the entire feature vector displacement is obtained by facial feature extraction, which has 66 feature points. The feature vector displacement is computed in bi-linear support vector machines (SVMs) classifier to evaluate the facial and develops the trained model. Similarly, the testing phase is carried out and the outcome is equated with the trained model for human emotion identifications. Two normalization techniques and hold-out validations are computed in both phases. Through this model, the overall validation performance is higher than existing models.
Conference papers on the topic "Entity Grid Model"
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Worighi, Imane, and Abdelilah Maach. "Virtualization of the smart grid using entity/relation model." In 2018 International Conference on Advanced Communication Technologies and Networking (CommNet). IEEE, 2018. http://dx.doi.org/10.1109/commnet.2018.8360263.
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Filippova, Katja, and Michael Strube. "Extending the entity-grid coherence model to semantically related entities." In the Eleventh European Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2007. http://dx.doi.org/10.3115/1610163.1610187.
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Jastrow, Torben, and Thomas Preuss. "The Entity-Attribute-Value Data Model in a Multi-tenant Shared Data Environment." In 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC). IEEE, 2015. http://dx.doi.org/10.1109/3pgcic.2015.189.
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Han, Xia, and Rao Ruonan. "The Method of Medical Named Entity Recognition Based on Semantic Model and Improved SVM-KNN Algorithm." In 2011 Seventh International Conference on Semantics Knowledge and Grid (SKG). IEEE, 2011. http://dx.doi.org/10.1109/skg.2011.24.
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Sukoriansky, Semion, and Boris Galperin. "A Quasi-Normal Scale Elimination Theory of Turbulent Flows With Stable Stratification." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59149.
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The Quasi-Normal Scale Elimination (QNSE) theory is a second order spectral closure capable of dealing with host of complicated factors introduced by nonlinearity and stable stratification. The theory is based upon a mapping of the actual velocity field to a quasi-Gaussian field whose modes are governed by the Langevin equation. The parameters of the mapping are calculated using a systematic process of successive averaging over small shells of velocity and temperature modes that eliminates them from the momentum and temperature equations. Turbulence and waves are treated as one entity and the effect of waves is easily identifiable. The model shows that there exists a range of Richardson numbers, between, approximately, 0.1 and 1, in which turbulence and heat transfer undergo remarkable anisotropization; the vertical mixing becomes suppressed while the horizontal mixing is enhanced. The theory yields analytical expressions for various 1D and 3D kinetic and potential energy spectra that reflect the effects of waves and anisotropy. The model’s results are suitable for immediate use in practical applications. Partial scale elimination gives sub-grid-scale viscosities and diffusivities that can be used in large eddy simulations. The elimination of all fluctuating scales results in RANS models.
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Wang, J. H., H. Z. Xu, Y. L. Liu, Z. N. Du, and S. J. Yang. "Experimental and Numerical Investigations on Turbine Airfoil Cooling Designs: Part I—An Investigation on Flow Features by Particle Image Velocimetry." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-50673.
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Experimental and numerical investigations are conducted to understand the features of the fluid dynamics within double-wall film-cooled configurations. Based on the similarity principle of the Reynolds number, a large-scale similar configuration made of transparent material is used as specimen, and the fluid velocity distributions over several typical cross sections within the specimen channel are captured by a particle image velocimetry (PIV) system. The experiments are carried out at a density ratio of fluid medium to tracer particle 1.05. The flow features are respectively calculated by different turbulence models and numerical grids. To confirm turbulence models and numerical grids, the numerical results are compared with the experimental data obtained by the PIV system. Through the comparisons, recommendations have been made with regard to the best model and numerical grid which best predict such velocity fields. The influences of inlet Reynolds numbers and the geometrical device of the double-wall film-cooled configurations on the features of flow field are numerically simulated by the recommended model and grid. The simulation results predicate that the flow features are mainly dominated by the geometrical device, the inlet Reynolds number can only result in a magnitude change of velocity fields, and this change is almost linear. This is the first part of the entire investigations on the double-wall film-cooled configurations, and the objective of this part is to confirm a suitable mathematical model and numerical grid for describing the flow features. In the next part, the overall heat transfer characteristics of these configurations will be studied.
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Zhu, Mengmeng, Defang Zhao, and Juan Yang. "A Cognitive-Related Entity and Relation Extraction Model for Online Tutoring Systems." In 2017 13th International Conference on Semantics, Knowledge and Grids (SKG). IEEE, 2017. http://dx.doi.org/10.1109/skg.2017.00026.
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Bergant, Marko, and Helena Gabrijelčič Tomc. "Display of interactive 3D models in augmented reality on mobile devices." In 11th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design, 2022. http://dx.doi.org/10.24867/grid-2022-p19.
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This paper study is related to two research areas, namely 3D computer graphics and augmented reality with a combination of their display on mobile devices. It presents the creation of three different interactive 3D models based on a realistically drawn image of domestic animals and can be displayed on mobile devices using augmented reality. The textured animals' models are displayed in the application Augmented animals (slo. Obogatene živali) with a simple user interface. The usability of the application is demonstrated by the detection of the image target, i.e., a printed interactive card, which proves the interaction between the mobile device and the augmented paper. When the mobile device camera recognizes the target, it displays the selected animal on the screen. The result is the enhancement of the real environment with animated 3D characters. By displaying a 3D character on the screen and interacting with the user interface, the presentation of each animal in three different animated movements is enabled. The first empirical part of this work was done with the help of the Blender program, in which we created all three animal 3D characters. First, we had to model all the animals from the initial templates into a recognizable 3D mesh, which we then mapped the textures on. This was followed by the construction of a system of bones and animation controls, based on which we could create the animal animations. After this step, we transferred the project to the Unity program. Then it followed the construction of an application that allows the representation of characters in augmented reality. The results of the entire work are appropriately made animal characters in the form of animated 3D models that can be displayed in augmented reality mode on mobile devices using interactive cards. The selected testing parameters showed that there are certain differences in rendering between the two tested mobile devices depending on the selected subdivision level of the 3D character. However, for recognition based on lighting conditions, distance and slope between the image target and the mobile device, the best user experience is obtained when the image target is captured from a distance of 15-20 cm and from a bird's eye view under good lighting conditions.
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Zhou, Shuai, Huili Yu, Caichao Zhu, and Huaiju Liu. "Load Simulation of the Impact Road under Durability and Misuse Conditions." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0775.
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<div class="section abstract"><div class="htmlview paragraph">Road load data is an essential input to evaluate vehicle durability and strength performances. Typically, load case of pothole impact constitutes the major part in the development of structural durability. Meanwhile, misuse conditions like driving over a curb are also indispensable scenarios to complement impact strength of vehicle structures.</div><div class="htmlview paragraph">This paper presents a methodology of establishing Multi-body Dynamics (MBD) full vehicle model in Adams/Car to acquire the road load data for use in durability and strength analysis. Furthermore, load level between durability and misuse conditions of the same Impact road was also investigated to explore the impact due to different driving maneuvers.</div><div class="htmlview paragraph">Curved Regular Grid (CRG) road model established by the help of Mobile Road Scanning (MRS) system, Flexible Ring Tire (FTire) model verified by a virtual tire test rig, dynamic deflection-force bump stop model acquired by the drop test rig and Craig-Bampton flexible vehicle body model transformed from simplified FEA entity were integrated in Adams/Car to fulfill the road load simulation task. In order to check the accuracy, a real Road Load Data Acquisition (RLDA) test was carried out by a SUV equipped with Six-axes Wheel Force Transducer (WFT) and certain acceleration sensors.</div><div class="htmlview paragraph">In both durability and misuse conditions, the simulation results are in good agreement with measured data, thus showing a good acceptance of the method. Compared to durability condition, most load levels are increased in misuse condition, but the ratio of increase is different. Wheel center longitudinal force shows a 5.4 times increase while the vertical has not even achieve 2 times. Vertical acceleration of wheel center shows a dramatic 4 times increase, but the amount of body comes to a more aggressive of 7.6 times.</div></div>
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Antoniu, G., L. Cudennec, and S. Monnet. "Extending the entry consistency model to enable efficient visualization for code-coupling grid applications." In Sixth IEEE International Symposium on Cluster Computing and the Grid. IEEE, 2006. http://dx.doi.org/10.1109/ccgrid.2006.46.
Full textReports on the topic "Entity Grid Model"
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Elshurafa, Amro, Hatem Al Atawi, Fakhri Hasanov, and Frank Felder. Cost, Emission, and Macroeconomic Implications of Diesel Displacement in the Saudi Agricultural Sector: Options and Policy Insights. King Abdullah Petroleum Studies and Research Center, August 2022. http://dx.doi.org/10.30573/ks--2022-dp03.
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The Saudi agricultural sector relies on diesel for irrigation, which is provided to farmers at a much lower price than the average global price, implying significant opportunity costs. With the aid of soft-coupled power and macro-econometric models, we assess the cost and macroeconomic implications of electrifying irrigation activities in the Saudi agricultural sector. Three electrification scenarios are considered: electrifying each individual farm with a dedicated hybrid renewable micro-grid, electrifying the entire farm cluster with central generation and connecting the entire cluster via transmission to the national grid. Compared with the base-case, connecting the farm cluster to the national grid is found to be the most economical but the least environmentally friendly. The renewable and central generation scenarios are costlier (compared with the transmission scenario) due, respectively, to the high battery costs and gas infrastructure needed.
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Sinclair, Samantha, and Sally Shoop. Automated detection of austere entry landing zones : a “GRAIL Tools” validation assessment. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45265.
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The Geospatial Remote Assessment for Ingress Locations (GRAIL) Tools software is a geospatial product developed to locate austere entry landing zones (LZs) for military aircraft. Using spatial datasets like land classification and slope, along with predefined LZ geometry specifications, GRAIL Tools generates binary suitability filters that distinguish between suitable and unsuitable terrain. GRAIL Tools combines input suitability filters, searches for LZs at user‐defined orientations, and plots results. To refine GRAIL Tools, we: (a) verified software output; (b) conducted validation assessments using five unpaved LZ sites; and (c) assessed input dataset resolution on outcomes using 30 and 1‐m datasets. The software was verified and validated in California and the Baltics, and all five LZs were correctly identified in either the 30 or the 1‐m data. The 30‐m data provided numerous LZs for consideration, while the 1‐m data highlighted hazardous conditions undetected in the 30‐m data. Digital elevation model grid size affected results, as 1‐m data produced overestimated slope values. Resampling the data to 5 m resulted in more realistic slopes. Results indicate GRAIL Tools is an asset the military can use to rapidly assess terrain conditions.
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Berney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman, and John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40401.
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The ability to remotely assess road and airfield pavement condition is critical to dynamic basing, contingency deployment, convoy entry and sustainment, and post-attack reconnaissance. Current Army processes to evaluate surface condition are time-consuming and require Soldier presence. Recent developments in the area of photogrammetry and light detection and ranging (LiDAR) enable rapid generation of three-dimensional point cloud models of the pavement surface. Point clouds were generated from data collected on a series of asphalt, concrete, and unsurfaced pavements using ground- and aerial-based sensors. ERDC-developed algorithms automatically discretize the pavement surface into cross- and grid-based sections to identify physical surface distresses such as depressions, ruts, and cracks. Depressions can be sized from the point-to-point distances bounding each depression, and surface roughness is determined based on the point heights along a given cross section. Noted distresses are exported to a distress map file containing only the distress points and their locations for later visualization and quality control along with classification and quantification. Further research and automation into point cloud analysis is ongoing with the goal of enabling Soldiers with limited training the capability to rapidly assess pavement surface condition from a remote platform.
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Wozniakowska, P., D. W. Eaton, C. Deblonde, A. Mort, and O. H. Ardakani. Identification of regional structural corridors in the Montney play using trend surface analysis combined with geophysical imaging, British Columbia and Alberta. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328850.
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The Western Canada Sedimentary Basin (WCSB) is a mature oil and gas basin with an extraordinary endowment of publicly accessible data. It contains structural elements of varying age, expressed as folding, faulting, and fracturing, which provide a record of tectonic activity during basin evolution. Knowledge of the structural architecture of the basin is crucial to understand its tectonic evolution; it also provides essential input for a range of geoscientific studies, including hydrogeology, geomechanics, and seismic risk analysis. This study focuses on an area defined by the subsurface extent of the Triassic Montney Formation, a region of the WCSB straddling the border between Alberta and British Columbia, and covering an area of approximately 130,000 km2. In terms of regional structural elements, this area is roughly bisected by the east-west trending Dawson Creek Graben Complex (DCGC), which initially formed in the Late Carboniferous, and is bordered to the southwest by the Late Cretaceous - Paleocene Rocky Mountain thrust and fold belt (TFB). The structural geology of this region has been extensively studied, but structural elements compiled from previous studies exhibit inconsistencies arising from distinct subregions of investigation in previous studies, differences in the interpreted locations of faults, and inconsistent terminology. Moreover, in cases where faults are mapped based on unpublished proprietary data, many existing interpretations suffer from a lack of reproducibility. In this study, publicly accessible data - formation tops derived from well logs, LITHOPROBE seismic profiles and regional potential-field grids, are used to delineate regional structural elements. Where seismic profiles cross key structural features, these features are generally expressed as multi-stranded or en echelon faults and structurally-linked folds, rather than discrete faults. Furthermore, even in areas of relatively tight well control, individual fault structures cannot be discerned in a robust manner, because the spatial sampling is insufficient to resolve fault strands. We have therefore adopted a structural-corridor approach, where structural corridors are defined as laterally continuous trends, identified using geological trend surface analysis supported by geophysical data, that contain co-genetic faults and folds. Such structural trends have been documented in laboratory models of basement-involved faults and some types of structural corridors have been described as flower structures. The distinction between discrete faults and structural corridors is particularly important for induced seismicity risk analysis, as the hazard posed by a single large structure differs from the hazard presented by a corridor of smaller pre-existing faults. We have implemented a workflow that uses trend surface analysis based on formation tops, with extensive quality control, combined with validation using available geophysical data. Seven formations are considered, from the Late Cretaceous Basal Fish Scale Zone (BFSZ) to the Wabamun Group. This approach helped to resolve the problem of limited spatial extent of available seismic data and provided a broader spatial coverage, enabling the investigation of structural trends throughout the entirety of the Montney play. In total, we identified 34 major structural corridors and number of smaller-scale structures, for which a GIS shapefile is included as a digital supplement to facilitate use of these features in other studies. Our study also outlines two buried regional foreland lobes of the Rocky Mountain TFB, both north and south of the DCGC.