Thesis (M.S.C.E.)--University of Toledo, 2006. / Typescript. "Submitted as partial fulfillment of the requirements for Masters of Science degree in Civil Engineering." Bibliography: leaves 53-55.

Thesis (M.S.V.)--University of Toledo, 2004. / Typescript. "A thesis [submitted] as partial fulfillment of the requirements of the Master of Science degree in Civil Engineering." Includes bibliographical references (leaves 87-91).

Thesis (Ph.D.)--University of Delaware, 2005 . / Principal faculty advisor: Biliana Cicin-Sain, College of Marine Studies. Includes bibliographical references.

Process monitoring aims to provide transparency over operational aspects of a business process. In practice, it is a challenge that traces of business process executions span across a number of diverse systems. It is cumbersome manual engineering work to identify which attributes in unstructured event data can serve as case and activity identifiers for extracting and monitoring the business process. Approaches from literature assume that these identifiers are known a priori and data is readily available in formats like eXtensible Event Stream (XES). However, in practice this is hardly the case, specifically when event data from different sources are pooled together in event stores. In this paper, we address this research gap by inferring potential case and activity identifiers in a provenance agnostic way. More specifically, we propose a semi-automatic technique for discovering event relations that are semantically relevant for business process monitoring. The results are evaluated in an industry case study with an international telecommunication provider.

The need for a green clean living environment is increasing today, with the boom of the socioeconomic development, educational level. However, the environmental pollution becomes an alerted global issue due to the large amount of wastes discharged making this need to be not easily met at the moment. Greenhouse gas emission mainly from energy, transport and agricultural land use is causing climate change because of their long atmospheric lifetime and trapping the heat in the atmosphere. Harmful effects and damages caused by environment pollution and climate change are unpredictable. It was reported that every year millions of people die because of fine particles when exposing to air pollution and other millions die from water-born diseases. Management and monitoring of air and water pollution by using GIS technology is an effective method. The measured data can be obtained continuously, quickly and accurately at stations in any regions even with complex terrain. This helps reduce the required number of employees, manage automatically and continuously a large number of data. / Ngày nay nhu cầu về một môi trường sống xanh, sạch đang gia tăng, với sự bùng nổ của phát triển kinh tế - xã hội và trình độ dân trí. Tuy nhiên, ô nhiễm môi trường đang trở thành một vấn đề cảnh báo toàn cầu do số lượng lớn các chất thải được xả ra môi trường làm cho nhu cầu này không dễ dàng được đáp ứng tại thời điểm này. Phát thải khí nhà kính chủ yếu là từ sử dụng năng lượng, giao thông vận tải và đất nông nghiệp đang gây ra biến đổi khí hậu vì thời gian tồn tại của cúng dài và giữ nhiệt trong khí quyển. Các ảnh hưởng xấu và thiệt hại gây ra bởi ô nhiễm môi trường và biến đổi khí hậu là không thể đoán trước. Thông tin báo cáo chỉ ra rằng mỗi năm có hàng triệu người chết vì hít các hạt bụi mịn khi tiếp xúc với ô nhiễm không khí; và hàng triệu người khác chết vì bệnh do nước sinh ra. Quản lý và giám sát ô nhiễm không khí và nước bằng cách sử dụng công nghệ GIS là một phương pháp hiệu quả. Các dữ liệu đo có thể được lấy liên tục, nhanh chóng và chính xác tại các trạm ở bất kể khu vực nào, ngay cả nơi có địa hình phức tạp. Điều này giúp làm giảm số lượng lao động cần thiết, quản lý tự động và liên tục một số lượng lớn dữ liệu.

Diss. (sammanfattning). Uppsala : Sveriges lantbruksuniv. / Härtill 5 uppsatser.

Thesis (M.S.)--Missouri University of Science and Technology, 2008. / Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed May 27, 2008) Includes bibliographical references (p. 84-86).

Thesis (M. Eng.)(Industrial)--University of Pretoria, 2002. / Includes bibliographical references.

Thesis (M.A.)--Ohio University, June, 2002. / Title from PDF t.p.

Der Betrieb von prozesstechnischen Produktionsanlagen wird stetig von verschiedenen Aufgaben begleitet, zum Beispiel der Steuerung und Optimierung der Produktion und der Aufrechterhaltung der Verfügbarkeit. Alle Gewerke, die sich mit dem Zustand der Anlage und des darin ablaufenden Prozesses beschäftigen, sind auf Daten angewiesen, die in der Anlage erfasst werden. Ein Großteil dieser Daten werden für die automatische Steuerungs-, Regelungs- und Sicherheitstechnik erfasst und darin in Echtzeit verarbeitet. Apparate und anderes Equipment sind zumeist nicht mit für deren Zustandsüberwachung dedizierter Messtechnik ausgestattet. Um Qualitätsmerkmale, Anlagenzustände oder Wartungsbedarfe erkennen zu können, müssen andere in der Anlage vorhandene Daten kombiniert und in Berechnungsmodellen kondensiert werden. Diese Methodik teilt sich in unterschiedliche Schritte auf: Datenakquise, Entwurf von Auswertemodellen, Modellintegration und Auswertung von Ergebnissen mit Ableitung von Aufgaben. Die vorliegende Arbeit ordnet sich in die Softwareaspekte dieser Methodik ein. Dabei versucht sie, die zentrale Frage „Wie könnte eine Infrastruktur auf Basis von verbreiteten Standardtechnologien aussehen, welche alle Schritte des Engineeringprozesses für freie Apparatemodelle automatisieren kann?“ anhand eines Vorschlags für eine Infrastruktur zu beantworten. Es wird eine Möglichkeit dargelegt, im Betrieb ohne Änderungen am bestehenden System kontinuierlich Daten für die Weiterverwendung in Apparatemodellen auszulesen. Der Entwurf und die Implementierung von Auswertemodellen wurde mit Hilfe eines entwickelten Werkzeugs unterstützt und dadurch die Struktur der Apparatemodelle vorgegeben, um eine einheitliche Modellintegration zu ermöglichen. Die Durchführung der Modellintegration erfolgte über die automatische Auswertung von Planungsdaten. Eine auf offenen Technologien basierende Ausführungsplattform für die Bewertungsmodelle wurde implementiert. Die Auswertung von Berechnungsergebnissen wurde über die Integration der Modelle in verbreitete, für Feldgeräte vorgesehene Standardwerkzeuge ermöglicht. Diese Infrastruktur ermöglicht es den verschiedenen Gewerken des Anlagenbetreibers, generische Bewertungsmodelle auf die Apparateinstanzen in der Anlage anzuwenden, und mit deren Berechnungsergebnissen ihre Aufgaben einfacher oder besser bearbeiten zu können. Nach einer Analyse der technischen Rahmenbedingungen wurde ein Konzept zur Modellintegration entwickelt und dessen Automatisierbarkeit diskutiert. Dieses Konzept wurde prototypisch umgesetzt. Es wurden Softwarekomponenten für den Betrieb sowie Softwarewerkzeuge für die Unterstützung sowohl der Erstellung als auch der Integration von Apparatemodellen entwickelt. Anhand dieser wurde Umsetzbarkeit des Konzepts überprüft / Operating process plants goes along with different tasks, e. g. control and optimization of the production and maintaining availability of the plant. There are several subsections of operations who deal with the state of the plant and the processes it runs. They are all dependent on information which is gathered throughout the plant. Most of this data is acquired for the automatic control, regulation, and safety gear and is processed in real-time. Apparatuses and other equipment are usually not equipped with measurement devices which are dedicated to monitor their state. For being able to recognize specific quality attributes, states of the plant, or maintenance needs, the existing measurements have to be combined and condensed by calculations. This methodology can be split into the following steps: data acquisition, design of evaluation models, integration of these models, and assessment of findings including inferring actions. This thesis addresses software aspects of this methodology. It tries to answer the key question „How to build an infrastructure, which shall be based on common standard technologies, in which all steps to engineer equipment models may be automated?“ by proposing a concrete infrastructure. A technique has been designed to continuously acquire data for further processing in equipment models without any changes to existing systems. The process of design and implementation of equipment models has been supported by a purpose-built tool. This tool puts out the designed models in a uniform structure to allow uniform model integration. This integration has been automated using the plant’s engineering data. An execution platform has been developed based on open technologies. Infrastructure and model structure have been designed to easily integrate calculation results into standard tools for being able to use them in common work environments. It enables the different subsections of operations in a plant to apply generic equipment assessment models on concrete equipment instances. Using the output of the models, they shall be enabled to perform their task in an easier or better manner. The technical requirements and prerequisites have been analyzed. Using the resulting conclusions, a concept to integrate models has been developed and the options to automate it have been discussed. This concept has been implemented prototypically. This implementation includes a runtime component and two tools to support development of models and their instantiation. It has been used to prove the feasibility of the concept.