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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Time Series Classification Using Deep Learning For Process Planning: A Case From The Process Industry, Nijat Mehdiyev, Johannes Lahann, Andreas Emrich, David Lee Enke, Peter Fettke, Peter Loos
Time Series Classification Using Deep Learning For Process Planning: A Case From The Process Industry, Nijat Mehdiyev, Johannes Lahann, Andreas Emrich, David Lee Enke, Peter Fettke, Peter Loos
Engineering Management and Systems Engineering Faculty Research & Creative Works
Multivariate time series classification has been broadly applied in diverse domains over the past few decades. However, before applying the classification algorithms, the vast majority of current studies extract hand-engineered features that are assumed to detect local patterns in the time series. Therefore, the efficiency and precision of these classification approaches are heavily dependent on the quality of variables defined by domain experts. Recent improvements in the deep learning domain offer opportunities to avoid such an intensive hand-crafted feature engineering which is particularly important for managing the processes based on time-series data obtained from various sensor networks. In our paper, …
Evaluating Forecasting Methods By Considering Different Accuracy Measures, Nijat Mehdiyev, David Lee Enke, Peter Fettke, Peter Loos
Evaluating Forecasting Methods By Considering Different Accuracy Measures, Nijat Mehdiyev, David Lee Enke, Peter Fettke, Peter Loos
Engineering Management and Systems Engineering Faculty Research & Creative Works
Choosing the appropriate forecasting technique to employ is a challenging issue and requires a comprehensive analysis of empirical results. Recent research findings reveal that the performance evaluation of forecasting models depends on the accuracy measures adopted. Some methods indicate superior performance when error based metrics are used, while others perform better when precision values are adopted as accuracy measures. As scholars tend to use a smaller subset of accuracy metrics to assess the performance of forecasting models, there is a need for a concept of multiple accuracy dimensions to assure the robustness of evaluation. Therefore, the main purpose of this …
Determination Of Rule Patterns In Complex Event Processing Using Machine Learning Techniques, Nijat Mehdiyev, Julian Krumeich, David Lee Enke, Dirk Werth, Peter Loos
Determination Of Rule Patterns In Complex Event Processing Using Machine Learning Techniques, Nijat Mehdiyev, Julian Krumeich, David Lee Enke, Dirk Werth, Peter Loos
Engineering Management and Systems Engineering Faculty Research & Creative Works
Complex Event Processing (CEP) is a novel and promising methodology that enables the real-time analysis of stream event data. The main purpose of CEP is detection of the complex event patterns from the atomic and semantically low-level events such as sensor, log, or RFID data. Determination of the rule patterns for matching these simple events based on the temporal, semantic, or spatial correlations is the central task of CEP systems. In the current design of the CEP systems, experts provide event rule patterns. Having reached maturity, the Big Data Systems and Internet of Things (IoT) technology require the implementation of …
A Matter Of Priorities: Effects Of Increased Opportunities For Extracurricular And Non-Traditional Learning Experiences On Student Time Management And Attitudes, David Spurlock, Daniel J. Bailey, Susan L. Murray, Andrew S. Ricke
A Matter Of Priorities: Effects Of Increased Opportunities For Extracurricular And Non-Traditional Learning Experiences On Student Time Management And Attitudes, David Spurlock, Daniel J. Bailey, Susan L. Murray, Andrew S. Ricke
Engineering Management and Systems Engineering Faculty Research & Creative Works
Many schools are emphasizing non-traditional and extracurricular learning experiences for undergraduate engineering students. These include activities such as incorporating servicelearning projects into the classroom, involving students in design competitions (e.g., solar car, formula car races), and promoting involvement in traditional campus organizations. Often this emphasis is in response to changes in ABET requirements, desires of future employers, and needs to improve student retention. What are the effects of emphasizing these sorts of activities on student attitudes and time management decisions? We examine the influences on students' priorities for allocating their time and their perceptions of the relative importance of available …
Retention Of Female Faculty Members, Susan L. Murray, Mariesa Crow, Suzanna M. Rose
Retention Of Female Faculty Members, Susan L. Murray, Mariesa Crow, Suzanna M. Rose
Engineering Management and Systems Engineering Faculty Research & Creative Works
The recruitment and the retention of female undergraduate and graduate students into engineering courses is discussed. A similar challenge lies in recruiting female faculty member from the limited pool of candidates in several fields at most universities. It is found that about half the females who were hired did not stay at the university. It is suggested that programs should be introduced to encourage mentoring and career development as such improvements would benefit all faculty members both female and male.
The Effectiveness Of An On-Line Graduate Engineering Management Course, Rosemarie Maffei Evans, Madison Daily, Susan L. Murray
The Effectiveness Of An On-Line Graduate Engineering Management Course, Rosemarie Maffei Evans, Madison Daily, Susan L. Murray
Engineering Management and Systems Engineering Faculty Research & Creative Works
In the summer of 1997, the Engineering Management Department of the University of Missouri-Rolla's (UMR) began offering its first Internet-based graduate level course. This course, Advanced Production Management, was designed to utilize a combination of Internet-based tools, such as EMail and Chat rooms to create a alternative means for the delivery of course material. This paper will draw these following conclusions from more than a year of research, which included over 100 students in six different course offerings. First, the Internet-based students performed equally as well as the control group students. Second, students tend to have exaggerated time requirement expectations …
A Technology Assessment Survey For Web Based Higher Education Programs, Earl A. Evans, Susan L. Murray
A Technology Assessment Survey For Web Based Higher Education Programs, Earl A. Evans, Susan L. Murray
Engineering Management and Systems Engineering Faculty Research & Creative Works
Advances in communications and computer technology, as well as in human-computer interfaces, have enabled concurrent advances in Web-based education. A number of case studies concerning applications of Web-based education for both distance learning and on-campus programs have been published. Primarily, these studies have focused on individual assessments of the web-based technologies. In contrast, this paper will provide a broad based assessment of applied web-based technology for higher education. This research was conducted via a survey completed by university and college faculty from numerous 4-year institutions. To gain an effective assessment, eleven categories of web-based course delivery tools, such as chatrooms …