Messner J I, Sanvido V E
An organization based information architecture to support upper level construction organization decisions
Abstract: This paper presents an Organization Based Information Architecture (OBIA). This
architecture has been developed to support the upper level decision ding
processes of construction organizations. The information in the OBIA is separated
into five main categories: Organization, commitment, process, environment, and
facility. These categories were identified through expert interviews and case study
evaluation. The main categories of inform provide an information structure
which supports strategic level decisions within a construction organization such as
project risk assessment, selection of future projects and strategic planning
functions. These decisions require information which is not well defined by project
specific information structures developed in previous research efforts.
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Owor Asodo Jamess
A BRIEF CIRRULUM VITAE FOR OWOR ASODO JAMES SUBMITED FOR AJOB SEARCH
Abstract: Professional Curriculum Vitae
Name: Owor Asodo JamesMobile Telephone Number:075-2-953-237/075-2-693-618 Address: P.O.Box 7575, Kampala City: KAMPALA State/Province: UGANDA
Section Title:Career Objective
Description: · To obtain a challenging position in Human resource and development in order to maximize my potential.
Section title:Work Experience
Company:Alarm protection Service Limited Location: Plot 53 Lumumba Avenue Dates:2001 — 2003
Job Title: Training officer
Work Description: · Developed the company wide annual training program, and designing training curricula for different target groups.· Provided guidance to staff in the area of training and development.· Managed the implementation of training and development strategy for the company.· Ensured that the company has an effective personal development system that meets the overall business strategies.· Maintaining documents in personnel files: hiring, NSSF registration, change of status, termination forms, medical leave, CVs, warning letters, disciplinary reports, etc.
Company:Alarm protection Service Limited Location: Plot 53 Lumumba Avenue Dates: 2003 — 2004
Job Title:Security Manager
Work Description: · Ensuring safety of company assets and preventing crime in line with the company’s corporate strategy and policies.
Section Title:Education School or Program Name:BA Social ScienceLocation: Makerere UniversityDegree/Level Attained:Second Class Upper Dates:2000 — 2003
School or Program Name:Diploma in personnel and industrial Relations.Location:London College of Professionalism Degree/Level Attained:High Merit Dates: March1999 — Oct. ‘99
School or Program Name:Uganda advanced certificate of EducationLocation: St. Francis SSS Dates:1997 — 1998
School or Program Name:Uganda Certificate of EducationLocation: Rock HighDegree/Level Attained: Division III Dates:1991 — 1994
Description:Career development, and acquiring new skills
Section Title:Academic Reference
Name:1. Mr. Arojo O.O StephenP.O.Box 7062, KampalaTelephone Number: +256-077-2-429-922 / 041-540-650Personal ReferenceName: 2. Mr. Mbongo M. MichaelTelephone Number:+256-075-2-200-264 / 041-2359453. Mr. Othieno Charles KakunguruTelephone Number:+256-078-2-833-201Signature:……………………………… Company: Department of Sociology, Makerere University Job Title: Senior Lecturer Company: JRNET Company Job Title: Marketing OfficerDate: ……………………………..
Keywords: personal details, Employment Background, Education Background, and Referees
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Suraj Ravindran, Prakash Kripakaran, Ian F. C. Smith
Evaluating reliability of multiple-model system identification
Abstract: This paper builds upon previous work by providing a statistical basis for multiple-model system identifica-tion. Multiple model system identification is useful because many models representing different sets of modeling as-sumptions may fit the measurements. The presence of errors in modeling and measurement increases the number of possible models. Modeling error depends on inaccuracies in (i) the numerical model, (ii) parameter values (constants) and (iii) boundary conditions. On-site measurement errors are dependent on the sensor type and installation condi-tions. Understanding errors is essential for generating the set of candidate models that predict measurement data. Pre-vious work assumed an upper bound for absolute values of composite errors. In this paper, both modeling and meas-urement errors are characterized as random variables that follow probability distributions. Given error distributions, a new method to evaluate the reliability of identification is proposed. The new method defines thresholds at each meas-urement location. The threshold value pairs at measurement locations are dependent on the required reliability, char-acteristics of sensors used and modeling errors. A model is classified as a candidate model if the difference between prediction and measurement at each location is between the designated threshold values. A timber beam simulation is used as example to illustrate the new methodology. Generation of candidate models using the new objective function is demonstrated. Results show that the proposed methodology allows engineers to statistically evaluate the performance of system identification.
Keywords: system identification, multiple models, error characterization, reliability, measurements, model predic-tion
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Unfeng Chen, Hazar Dib, Clark Cory
Using an Object Oriented Database Approach to Enable Students in Learning Industry Practices
Abstract: Building Information Modeling (BIM) has earned its credibility in the construction industry as an efficient medium for life cycle project management planning, communication, and documentation. Engineering and Construction management programs are introducing BIM in upper level classes to familiarize the students with this technology. In order to better prepare the students understand and implement this technology; this project proposes an Object Oriented Database (OODB) approach to incorporate the teaching of BIM throughout the curriculum starting with lower level classes. Building a complete BIM model is a humongous task to be achieved in one class even at the upper or graduate level. The objective from this approach is to educate the students in the data collection and organization. Students will collect elements relative to design guidelines, code application, quality and resources throughout the various classes in the curriculum. The collected data is incorporated into the visual model at the upper level classes to constitute working BIM models.The paper will highlight the benefits of the proposed method, and discuss the results of the evaluation of the studentsâ€™ learning experience.
Keywords: BIM, Education, Construction, Object Oriented Database, Information Management
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Yang Ji, Andre Borrmann, Johannes Wimmer, Willibald A. Gunthner
Bidirectional Coupling of Macroscopic Optimization and Microscopic Simulation Of Earthwork Processes
Abstract: In the research project â€śForBAU â€“ The Virtual Construction Siteâ€ť [Bormann et al. 2009], an integrated 3D model-based framework for simulating earthwork processes has been developed. This simulation framework consists of two major parts: an earthwork modeling and assessment tool ForBAU Integrator which integrates road, subsoil and terrain model in a holistic model and provides high-accurate quantity takeoffs of the earth movement as simulation source data [Ji et al. 2009]; The second important part is a discrete event-based simulation tool used to model and simulate earthwork processes in detail [Wimmer et al. 2010]. Both tools communicate via an XML interface. In addition of generating quantitative simulation source data, the ForBAU Integrator has been extended by the ability to model earthwork optimization problems using bipartite graphs and to solve these problems with linear programming techniques [Ji et al. 2010]. One of these problems is the Earthwork Allocation Problem (EAP). Here, the optimization objective is determining the optimal assignments of cut to fill areas such that minimal transportation costs incur. Beyond these research results, this paper presents a bidirectional coupling concept between microscopic simulation and macroscopic earthwork optimization. The aim of this approach is iteratively increasing the accuracy of the simulation results in the entire framework. On the one hand, the exactly optimized cut-to-fill assignments are subjected to the mathematical equations which describe upper and lower capacity limitation of respective cut or fill areas as well as the efficient distance between them. This optimization result implies the most effective way for the earth movement from a global point of view, regardless of any resource restrictions. On the other hand, the resource assignments and processing details are modeled on the simulation platform. The actual transportation time of the cut-to-fill earth movement (excavation, load, transportation, compaction, etc.) can be closely estimated in the simulation environment. The key issue behind this concept is to define an iterative parameter exchange between the two different subsystems. Obviously, two possible coupling-parameters can be applied in this case: the cut-to-fill assignments and the corresponding processing time. The iteration starts by initializing the cost function with an average processing time. The optimizer calculates based on this trivial cost function the optimal cut-to-fill assignments as input data for the simulator. After the simulation is finished, the simulated processing times will be re-imported for updating the cost function in the optimizer. The iteration process should end with a converging processing time of earthwork movements. This concept is already implemented and will soon be evaluated by means of a federal high-way construction project in Germany.REFERENCESA. Borrmann, Y. Ji, I-C. Wu, M. ObergrieĂźer, E. Rank, C. Klaubert, W. GĂĽnthner: ForBAU - The Virtual Construction Site Project. In: Proc. of the 26th CIB-W78 Conference on Managing IT in Construction. Istanbul, Turkey, October 2009. Y. Ji, A. Borrmann, E. Rank, J. Wimmer, W. GĂĽnthner: An Integrated 3D Simulation Framework for Earthwork Processes. In: Proc. of the 26th CIB-W78 Conference on Managing IT in Construction. Istanbul, Turkey, October 2009. J. Wimmer, Y. Ji, T. Horenburg, A. Borrmann, W. GĂĽnthner, E. Rank: Evaluation of the 3D Model-based Earthwork Process Simulation in Practice. In: Proc. of the 14th ASIM-Conference Simulation in Production and Logistic (ASIM2010), Karlsruhe, Germany, October 2010, (to appear).Y. Ji, F. Seipp, A. Borrmann, S. Ruzika, E. Rank: Mathematical Modeling of Earthwork Optimization Problems. In: Proc. of the International Conference on Computing in Civil and Building Engineering 2010 (ICCCBE 2010), Nottingham, UK, Juli 2010.
Keywords: bidirectional coupling, earthwork, optimization, simulation, road construction
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