A Modeling Approach to Characterize the Demand Flexibility of the Air Distribution System in Commercial Buildings

Commercial VAV systems have been a studied as potential flexible power consumption resources to provide these services. A significant limitation is the development of control oriented models for these systems that accurately control power consumption across timescales. To this end, we develop a modeling approach that characterizes the demand flexibility of the air distribution system in commercial buildings. The model maps all feasible terminal zone damper configurations to power consumption by identifying a system resistance model connected to a pressure-flow model of the supply fan. Under this model structure, the operational range of an installed system can be quantitatively bounded by the extreme resistance curves the air distribution system encounters. We also propose a simplified control algorithm that leverages this model structure to emulate a demand flexibility event. We validate this approach by calibrating a model in an experimental testbed and additionally testing the results in a simulation environment. A brief discussion of important properties and observations that can be derived from this approach as well as avenues for improvements is presented

Towards Automated Defect Detection: Object-oriented Modeling of Construction Specifications

This paper describes an ongoing research on the representation and reasoning about construction specifications, which is part of a bigger research project that aims at developing a formalism for automating the identification of deviations and defects on construction sites. We specifically describe the requirements on product and process models and an approach for representing and reasoning about construction specifications to enable automated detection and assessment of construction deviations and defects. This research builds on the previous research on modeling design specifications and extends and elaborates concept of contexts developed in that domain. The paper provides an overview of how the construction specifications are being modele d in this research and points out future steps that need to be accomplished to develop the envisioned automated deviation and defect detection system

Devlet Ic Borclanma Senetleri Icin Getiri Egrisi Tahmini

Piyasa katilimcilarinin faiz beklentilerini yansitan getiri egrisinin tahmini mali analizin temel taslarindandir. Bu makalede getiri egrilerinin temel ozelliklerini tanitip, bilgimiz dahilinde ilk defa, Turkiye için uzun vadeli sabit kuponlu bonolarin da tahmine dahil edildigi yuksek frekansta getiri egrisi tahminleri sunuyoruz. Gunluk olarak tahmin edilen bu getiri egrileri piyasa katilimcilarinin makroekonomik gelismelere tepkilerini olcmek için uygun araclardir. Bu makalede getiri egrilerinden elde edilen sabit vadeli faizlerin para politikasi, enflasyon verisi açiklamasi, stopaj oranlarinin degismesi gibi olaylara verdikleri tepkiler vaka calismasi ornekleri olarak sunulmustur.

An Approach for Planning Sensor-Based Inspection of the Built Environment

The promise of lower costs for sensors that can be used for construction inspection means that inspectors will continue to have new choices to consider in creating inspection plans. However, these emerging inspection methods can require different activities, resources, and decisions such that it can be difficult to compare the emerging methods with other methods that satisfy the same inspection needs. Furthermore, the context in which inspection is performed can significantly influence how well certain inspection methods are suited for a given set of goals for inspection. Context information, such as weather, security, and the regulatory environment, can be used to understand what information about a component should be collected and how an inspection should be performed. The research described in this paper is aimed at developing an approach for comparing and selecting inspection plans. This approach consists of (1) refinement of given goals for inspection, if necessary, in order to address any additional information needs due to a given context and in order to reach a level of detail that can be addressed by an inspection activity; (2) development of constraints to describe how an inspection should be achieved; (3) matching of goals to available inspection methods, and generation of activities and resource plans in order to address the goals; and (4) selection of an inspection plan from among the possible plans that have been identified. The authors illustrate this approach with observations made at a local construction site

SiDaCoS: Product and Process Models on Construction Sites

Site superintendents performing project management tasks on construction sites need to access project documents and need to collect information that they observe while inspecting the site. Often, information that is observed on a construction site needs to be integrated into electronic documents or project control systems. In the future, we expect integrated product and process models to be the medium for storing and handling construction project management information. Even though mobile computing devices today are already capable of storing and handling such integrated product and process data models, the user interaction with such large and complex models is difficult and not adequately addressed in the existing research. In this paper, we introduce a system that supports project management tasks on construction sites effectively and efficiently by making integrated product and process models accessible. In order to effectively and efficiently enter or access information, site superintendents need visual representations of the project data that are flexible with respect to the level of detail, the decomposition structure, and the type of visual representation. Based on this understanding of the information and data collection needs, we developed the navigational model framework and the application Site Data Collection System (SiDaCoS), which implements that framework. The navigational model framework allows site superintendents to create customized representations of information contained in a product and process model that correspond to their data access and data collection needs on site

Towards Domain-Oriented Semi-Automated Model Matching for Supporting Data Exchange

The process of matching data represented in two different data models is a longstanding issue in the exchange of data between different software systems. While the traditional manual matching approach cannot meet today’s demands on data exchange, research shows that a fully automated generic approach for model matching is not likely, and generic semi-automated approaches are not easy to implement. In this paper, we present an approach that focuses on matching data models in a specific domain. The approach combines a basic model matching approach and a version matching approach to deduce new matching rules to enable data transfer between two evolving data models

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

To ensure the safety and the serviceability of civil infrastructure it is essential to visually inspect and assess its physical and functional condition. This review paper presents the current state of practice of assessing the visual condition of vertical and horizontal civil infrastructure; in particular of reinforced concrete bridges, precast concrete tunnels, underground concrete pipes, and asphalt pavements. Since the rate of creation and deployment of computer vision methods for civil engineering applications has been exponentially increasing, the main part of the paper presents a comprehensive synthesis of the state of the art in computer vision based defect detection and condition assessment related to concrete and asphalt civil infrastructure. Finally, the current achievements and limitations of existing methods as well as open research challenges are outlined to assist both the civil engineering and the computer science research community in setting an agenda for future research

Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

This publication is the Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering from July 6-8, 2022. The EG-ICE International Workshop on Intelligent Computing in Engineering brings together international experts working on the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolution of challenges such as supporting multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways. &nbsp

Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

This publication is the Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering from July 6-8, 2022. The EG-ICE International Workshop on Intelligent Computing in Engineering brings together international experts working on the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolution of challenges such as supporting multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways. &nbsp