Withthe growing focus on buildings9; energy efficiency and sustainability, it is critical to model the energy consumption of residential buildings accurately. this study focuses on using EnergyPlus, a powerful bui...
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ISBN:
(数字)9798331530778
ISBN:
(纸本)9798331530785
Withthe growing focus on buildings' energy efficiency and sustainability, it is critical to model the energy consumption of residential buildings accurately. this study focuses on using EnergyPlus, a powerful building energy simulation software, to conduct an in-depth analysis of the energy performance of a chosen residential building prototype. Accurate building models are constructed with detailed input of key information such as the buildings' geometry, envelope characteristics, HVAC system parameters, personnel activities, and indoor and outdoor climate conditions. through simulation using EnergyPlus, the impacts of different design parameters and operational strategies on energy consumption can be studied, such as window materials, shading facilities on lighting and cooling or heating loads, and the association of ventilation system efficiency with indoor air quality and energy consumption. In this research, literature review has been done on why residential building energy consumption plays an important role, the significance of integrating building energy modeling tools with building design process, and why EnergyPlus is chosen as the simulation tool. A case study has been conducted to investigate how changing temperature set-point can impact the building's energy performance, hence demonstrating the significance of optimizing design factors, such as temperature set- point schedule to minimize building energy consumption.
the proceedings contain 17 papers. the special focus in this conference is on knowledge Discovery, knowledgeengineering and knowledge Management. the topics include: Automatic Categorization of software Reposito...
ISBN:
(纸本)9783031875687
the proceedings contain 17 papers. the special focus in this conference is on knowledge Discovery, knowledgeengineering and knowledge Management. the topics include: Automatic Categorization of software Repository Domains with Minimal Resources;personalized Book Recommendations for Adults Using Deep Learning and Sophisticated Filtering Approaches;dimensionality Reduction in Environmental Data;is there an Optimal Depth of Residual Networks?;modeling Interdependencies and Cascading Effects of Disasters on Critical Infrastructures;mechanical Fault Prediction based on Event knowledge Graph and Deep Learning;BioSTransformers for Health Ontologies Merging;methodology for Real Estate Recommendation based on Customer Behavior knowledge as Context-Approach;UpKG: A Framework for Integrating and Evaluating Novel Domains into knowledge Graphs;an Approach based on the Multifaceted Ontology to Development of Event Series Processing Tools;A Study of the Perceived Quality and Functionality of DEMO Process and Fact Models in the Health Domain and Improvements on Its Action Model;Revolutionary Synergy: the Fusion of Data Mesh and Data Fabric for Strategy Analytics in GRAPHYP knowledge Graph;an Innovative Framework for threshold Exceedance Forecasting in Timeseries Using Survival Analysis;promoting Sustained Use of Assistive Technology Among the Elderly: A User Experience and Causal Attribution theory Perspective on Caregiver Utterances;knowledge Management in Financial software Support Team: A Prototype based on Ontology.
Cross-domain sequential recommendation (CDSR) is proposed to alleviate the data sparsity issue while capturing users’ sequential preferences. However, most existing methods do not explore the item transition patterns...
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We present DeepSAT, a novel end-to-end learning framework for the Boolean satisfiability (SAT) problem. Unlike existing solutions trained on random SAT instances with relatively weak supervision, we propose applying t...
ISBN:
(纸本)9798350323481
We present DeepSAT, a novel end-to-end learning framework for the Boolean satisfiability (SAT) problem. Unlike existing solutions trained on random SAT instances with relatively weak supervision, we propose applying the knowledge of the well-developed electronic design automation (EDA) field for SAT solving. Specifically, we first resort to logic synthesis algorithms to pre-process SAT instances into optimized and-inverter graphs (AIGs). By doing so, the distribution diversity among various SAT instances can be dramatically reduced, which facilitates improving the generalization capability of the learned model. Next, we regard the distribution of SAT solutions being a product of conditional Bernoulli distributions. based on this observation, we approximate the SAT solving procedure with a conditional generative model, leveraging a novel directed acyclic graph neural network (DAGNN) with two polarity prototypes for conditional SAT modeling. To effectively train the generative model, withthe help of logic simulation tools, we obtain the probabilities of nodes in the AIG being logic '1' as rich supervision. We conduct comprehensive experiments on various SAT problems. Our results show that, DeepSAT achieves significant accuracy improvements over state-of-the-art learning-based SAT solutions, especially when generalized to SAT instances that are relatively large or with diverse distributions.
Antimicrobial resistance is a global health challenge, complicating the treatment of bacterial infections and leading to higher patient morbidity and mortality. Rapid and reliable identification of resistant pathogens...
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this paper proposes a knowledge-based system for supporting the software specification process. It generates a plan for achieving the design goals, manages the tools according to the generated plan, and provides the n...
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ISBN:
(纸本)9789955258445
this paper proposes a knowledge-based system for supporting the software specification process. It generates a plan for achieving the design goals, manages the tools according to the generated plan, and provides the necessary suggestions and suitable graphical tools. the results of the experimental application of our system are also presented.
Parkinson’s disease (PD) is a brain dysfunction condition that affects thousands of people across the globe. Early detection of Parkinson’s disease is crucial for effective treatment and control of symptoms. this st...
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We provide a procedure which takes an SQL statement as input and makes the clamshell diagram which looks like a symmetrical, double tree. the program based on the procedure was able to create the diagrams for SQL stat...
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ISBN:
(纸本)9789955258445
We provide a procedure which takes an SQL statement as input and makes the clamshell diagram which looks like a symmetrical, double tree. the program based on the procedure was able to create the diagrams for SQL statements including a complicated one.
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