High-Performance and Scalable Agent-Based Simulation with BioDynaMo

Agent-based modeling plays an essential role in gaining insights into biology, sociology, economics, and other fields. However, many existing agent-based simulation platforms are not suitable for large-scale studies due to the low performance of the underlying simulation engines. To overcome this limitation, we present a novel high...

Building Design Approaches and Performance Under Predicted Climate Conditions

The building environment has high energy consumption and carbon emission which contributes to the rapid climate change. The changing climate condition not only impacts the natural environment but also our habitation. To improve the building performance in both energy and indoor comfort, performance-based design is commonly applied in...

Optimizing SGLR Parser Performance

The Scannerless Generalized-LR (SGLR) parsing algorithm allows parsing of declarative and modular syntax definitions. However, SGLR is notorious for having low performance, negatively impacting its adoption in practice. This paper presents several performance optimizations for JSGLR2, which is an implementation of SGLR. All optimizations are...

A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer

This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY,MAC and network. First, the related work and paper contributions are discussed, followed by providing...

A computational method to guide sustainable energy upgrading of school buildings in Greece through passive design interventions

A big part of the schools in Greece fails to align with the regulations suggested by The School Building Organization in Greece, regarding their energy performance as well as the thermal and daylight comfort they offer. This study aims to inform the retrofit process of these schools, by proposing guidelines concerning the most impactful...

Design parameter guidelines for purely passive cooling buildings in Tropical regions

Nowadays, the energy consumption has a significant role in the entire life cycle of a building. The energy demands keep rising due to growth in population, increasing demand for healthy, comfort and productive indoor environment, global climate changing, and so on. This rapid increase in energy use in buildings represents a major issue...

Placement optimization of Positioning Nodes: Maximizing the distinction of Indoor Zones

The performance of an Indoor Positioning System is highly related to the placement of the transmitting nodes that are used as references for the positioning estimations. Within this graduation project, we propose a methodology that can be used to optimize such a deployment and thus, increase the performance of an Indoor Positioning System that a...

Computational optimization for the facade design of a nearly zero-energy high-rise office building in the temperate climate

Recently, there has been a growing interest in the energy performance of high-rises, in order to increase their energy-efficiency. The graduation project focuses on the facade design of high-rises, studying the potential for a nearly Zero-Energy high-rise office building in the Netherlands, according to the BENG requirements. The research...

OPTIMUS: Self-Adaptive Differential Evolution with Ensemble of Mutation Strategies for Grasshopper Algorithmic Modeling

Most of the architectural design problems are basically real-parameter optimization problems. So, any type of evolutionary and swarm algorithms can be used in this field. However, there is a little attention on using optimization methods within the computer aided design (CAD) programs. In this paper, we present Optimus, which is a new...

Placement optimization of positioning nodes: Maximizing the distinction of indoor zones

The performance of an indoor positioning system is highly related to the placement of the transmitting nodes that are used as references for the positioning estimations. In this paper, we propose a methodology that can be used to optimize such a deployment and thus, increase the performance of an indoor positioning system that a) is based on...

A Modular SGLR Parsing Architecture for Systematic Performance Optimization

SGLR parsing is an approach that enables parsing of context-free languages by means of declarative, concise and maintainable syntax definition. Existing implementations suffer from performance issues and their architectures are often highly coupled without clear separation between their components. This work introduces a modular SGLR...

Investigations Towards Developing Automated Energy Diagnostics and Prediction Models, Based on BMS Sensor Data Analysis

An investigation into energy optimization techniques for buildings was initiated that led to the development of a Toolbox with several functions for analysis, optimization and prediction techniques for thermal energy demand of a school building. The HHS, or The Hague University of Applied Sciences in Delft, was the most sustainable building for...

Zero Energy Potential of a High Rise Office Building in a Mediterranean Climate

Zero energy high rise buildings aim for a more sustainable urban environment, by reducing energy use demand, producing energy from renewable systems, but at the same time maintaining high thermal comfort levels. This research aims to implement a new integrated strategy, by means of an integrated optimization of various design variables of a high...

Multi-objective and multidisciplinary design optimization of large sports building envelopes: A case study

Currently, in the conceptual envelope design of sports facilities, multiple engineering performance feedbacks (e.g. daylight, energy and structural performance) are expected to assist architectural design decision-making. In general, it is known as Building Performance Optimization in the conceptual architectural design phase. Essentially, it...

Detecting and Analyzing I/O Performance Regressions

Regression testing can be done by re-executing a test suite on different software versions and comparing the outcome. For functional testing, the outcome of such tests is either pass (correct behaviour) or fail (incorrect behaviour). For non-functional testing, such as performance testing, this is more challenging as correct and incorrect are...

Influence of Engineered Roughness on the Flow Instabilities in a Centrifugal Compressor

Centrifugal compressors form an integral part of automotive turbochargers. Strict emission regulations and increased engine downsizing in the automotive industry are pushing the turbocharger centrifugal compressors to provide the charged air at very lower mass flow rates. However, at low mass flow rates, the operation and application of...

Performance Optimization of Multi-Tenant Software Systems

Multi-tenant software systems are Software-as-a-Service systems in which customers (or tenants) share the same resources. The key characteristics of multi-tenancy are hardware resource sharing, a high degree of configurability and a shared application and database instance. We can deduct from these characteristics that they lead to challenges...

Increased Energy Yield using the Smart Rotor: Sizing and Control of Trailing Edge Flaps on a Smart Rotor for Maximum Power Generation in Low Fatigue Wind Regimes