The controller area network (CAN) is the de-facto standard for in-vehicle communication. The growth of time-critical applications in modern cars leads to a considerable increase in the message trac on CAN. Hence, it is essential to determine ecient message schedules on CAN that guarantee that all communicated messages meet their timing constraints. The aim of this thesis is to develop oset scheduling strategies that

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Distances between dispersed locations may be largely overcome through efficient use of modern data transfer and communication systems. Unfortunately the conclusions drawn from research and surveys carried out in the industry show that companies generally fail in using information technologies properly and that there is a significant communication gap - therefore coordination and cooperation gap - between the site offices and the main office due to data transfer lags and lack of visualised information. How information is presented has a great bearing on quality of information and visualisation is one of the most important tools used to improve data presentation. The purpose of this thesis is to evaluate the extent of visualisation as a communication tool in construction industry and to determine potential benefits to be gained through implementation of visualisation. Therefore, available visualisation resources are investigated among Turkish AEC companies. The current status of visualisation use for communication in construction firms is mapped and described. Information flow contents and types are analysed to determine which information in the construction process can be visually represented. Finally, a QFD approach is used for a combined evaluation of the research findings together with the customer needs and requirements expected from visualised information.

The characteristics of the subcritical, critical and supercritical flows at the rectangular free overfall were studied experimentally to obtain a relation between the brink depth and the flow rate. A series of experiments were conducted in a tilting flume with wide range of flow rate and two bed roughness in order to find the relationship between the brink depth, normal depth, channel bed slope and bed roughnesses. An equation was proposed to calculate the flow rate if only the brink depth, roughness, and channel bed slope are known. An alternate iterative solution was offered to calculate discharges if the brink depth and uniform flow depth are known.

In this thesis, the latest developments in mobile telecommunications and mobile devices are investigated in order to integrate wireless connectivity and mobile computing in construction industry core business processes on site. The research includes current technologies and implementation in the construction industry and other industries. Wireless solutions are presented in order to improve information flow, quality of data, control and coordinate business processes in construction companies. The Marmaray project in Turkey is used as a project case study to present the necessary investment and benefits gained by the contractors. This study investigates and seeks to eliminate the barriers on the way to integrate mobile technologies in the construction industry business processes.

To make three dimensional measurements using a stereo camera system, the intrinsic and extrinsic calibration of the system should be obtained. Furthermore, to allow zooming, intrinsic parameters should be re-estimated using only scene constraints. In this study both manual and autocalibration algorithms are implemented and tested. The implemented manual calibration system is used to calculate the parameters of the calibration with the help of a planar calibration object. The method is tested on different internal calibration settings and results of 3D measurements using the obtained calibration is presented. Two autocalibration methods have been implemented. The first one requires a general motion while the second method requires a pure rotation of the cameras. The autocalibration methods require point matches between images. To achieve a fully automated process, robust algorithms for point matching have been implemented. For the case of general motion the fundamental matrix relation is used in the matching algorithm. When there is only rotation between views, the homography relation is used. The results of variations on the autocalibration methods are also presented. The result of the manual calibration has been found to be very reliable. The results of the first autocalibration method are not accurate enough but it has been shown that the calibration from rotating cameras performs precise enough if rotation between images is sufficiently large.

This thesis proposes a framework for determining the optimum location of an injection well by using an inference method, Artificial Neural Networks and a search algorithm to create a search space and locate the global maxima. Theoretical foundation of the proposed framework is followed by description of the field for case study. A complex carbonate reservoir, having a recorded geothermal production history is used to evaluate the proposed framework ( Kizildere Geothermal field, Turkey). In the proposed framework, neural networks are used as a tool to replicate the behavior of commercial simulators, by capturing the response of the field given a limited number of parameters (Temperature, pressure, injection location and injection flow rate) as variables. A study on different network designs is followed by introduction of a search algorithm to generate decision surfaces. Results indicate that a combination of neural networks and an optimization algorithm (explicit search with variable stepping) to capture local maxima can be used to locate a region or a location for optimum well placement. Results also indicate shortcomings and possible pitfalls associated with the approach. With the provided flexibility of the proposed workflow, it is possible to incorporate various parameters including injection flow rate, temperature and location. For the field of study (Kizildere), optimum injection well location is found to be in the south&amp / #8209 / eastern part of the field. Specific locations resulting from the workflow indicated a consistent search space, having higher values in that particular region. When studied with fixed flow rates (2500 and 4911 m 3 /day), search run through the whole field located two locations which are in the very same region / thus resulting with consistent predictions. Further study carried on by incorporating effect of different flow rates indicates that the algorithm can be run in a particular region of interest (south&amp / #8209 / east in the case of study) and different flow rates may yield different locations. This analysis resulted with a new location in the same region and an optimum injection rate of 4000 m 3 /day). It is observed that use of neural network as a proxy to numerical simulator is viable for narrowing down or locating the area of interest for optimum well placement.

Determination of contingency for international projects plays an important role for inclusion of risks taken by the contractor on the bid amount. Although determination of contingency is an important stage of bid preparation for international projects, the methods that are being used by Turkish contractors for quantification of contingency are very limited. In this thesis the factors affecting the contingency decisions of Turkish contractors for international projects will be investigated. The significance of these factors will be determined and a model determining the contingency will be developed.

It is agreed upon by many researchers that, although risk management (RM) is accepted as one of the critical success factors for construction projects, project participants generally do not have sufficient knowledge pertinent to risk management concept and the number of risk management support tools which facilitate the process is rather low. In order to facilitate risk management activities, decision support tools that will enable risk identification, analysis and response strategy formulation should be developed. Decision support tools are necessary for systematic identification of risks, scenario generation, proactive management of risk and integration of risk management activities with other project management functions such as planning, cost estimating and monitoring project success. The aim of this study is to introduce a conceptual risk management model and a prototype risk management decision support system (DSS) which is applicable to construction projects. The proposed decision support system, namely Integrated Risk Management System (IRMS), is designed to support the user at all phases of the risk management process and to integrate risk management activities with other project management functions in the bid preparation stage of international construction projects. A risk management process model has been developed as well as a risk information model so that IRMS can be used for systematic management of risk by all parties involved in a construction project. Major functions of IRMS include, risk identification by using a built-in Hierarchical Risk Breakdown Structure (HRBS), risk analysis by Monte Carlo (MC) simulation, risk assessment by risk rating, risk re-assessment, response generation, risk monitoring and corporate memory. The applicability of the system has been tested by a real case study and its functionality has been demonstrated using the data associated with the case study.

Coaxial jet flows have a considerable practical application area as water jet pumps. Efficiency of such systems is affected by complex turbulence mechanisms and large-scale vortex structures formed in the mixing regions. An experimental setup is constructed to estimate the momentum exchange rates and mixing of the two jet flows from the coaxial pipes. Pressure distributions along the mixing pipe wall are measured for different flow ratios of the jets. In addition to present experiments, numerical data of two experimental studies from the literature are considered as test cases. Numerical solutions for the test cases are obtained using FLUENT. Experimental and numerical results are compared and adequacy of FLUENT solution is illustrated.