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Articles 1 - 21 of 21
Full-Text Articles in Entire DC Network
F11rs Sgr No. 7 (Online Scheduling), Sullivan
F11rs Sgr No. 7 (Online Scheduling), Sullivan
Student Senate Enrolled Legislation
A RESOLUTION
To urge and request that the academic colleges of Louisiana State University implement an online scheduling system for students to make appointments with their academic advisors
The Pulled-Macro-Dataflow Model: An Execution Model For Multicore Shared-Memory Computers, Daniel Joseph Richins
The Pulled-Macro-Dataflow Model: An Execution Model For Multicore Shared-Memory Computers, Daniel Joseph Richins
Theses and Dissertations
The macro-dataflow model of execution has been used in scheduling heuristics for directed acyclic graphs. Since this model was developed for the scheduling of parallel applications on distributed computing systems, it is inadequate when applied to the multicore shared-memory computers prevalent in the market today. The pulled-macro-dataflow model is put forth as an alternative to the macro-dataflow model, having been designed specifically to accurately describe the memory bandwidth limitations and request-driven nature of communications characteristic of today's machines. The performance of the common scheduling heuristics DSC and CASS-II are evaluated under the pulled-macro-dataflow model and it is shown that their …
Distributed Algorithms For Initialization And Topology Control In Wireless Ad Hoc Networks., Subhasis Bhattacharjee Dr.
Distributed Algorithms For Initialization And Topology Control In Wireless Ad Hoc Networks., Subhasis Bhattacharjee Dr.
Doctoral Theses
Wireless ad hoc networking is an upcoming communication technology that makes exchange of information possible without any pre-existing infrastructure. Over the last decade it has grabbed tremendous interest in the research community due to its easy deployability and high flexibility, with numerous applications to social, industrial and personal uses. In this thesis, we designed effcient light weight distributed algorithms based on minimal local information to resolve the problems related to the initialization and topology configuration of wireless ad hoc networks with special emphasis on optimal utilization of limited resources. Once the ad hoc nodes with in-built radio transceivers are deployed …
Rationalising Public Service: Scheduling As A Tool Of Management In Rté Television, Ann-Marie Murray
Rationalising Public Service: Scheduling As A Tool Of Management In Rté Television, Ann-Marie Murray
Doctoral
Developments in the media industry, notably the increasing commercialisation of broadcasting and deregulation, have combined to create a television system that is now driven primarily by ratings. Public broadcast organisations must adopt novel strategies to survive and compete in this new environment, where they need to combine public service with popularity. In this context, scheduling has emerged as the central management tool, organising production and controlling budgets, and is now the driving force in television. Located within Weber’s theoretical framework of rationalisation, this study analyses the rise of scheduling as part of a wider organisational response to political and economic …
Finding Robust-Under-Risk Solutions For Flowshop Scheduling, Steven O. Kimbrough, Ann Kuo, Hoong Chuin Lau
Finding Robust-Under-Risk Solutions For Flowshop Scheduling, Steven O. Kimbrough, Ann Kuo, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
We propose and explore, in the context of benchmark problems for flowshop scheduling, a risk-based concept of robustness for optimization problems. This risk-based concept is in distinction to, and complements, the uncertainty-based concept employed in the field known as robust optimization. Implementation of our concept requires problem solution methods that sample the solution space intelligently and that produce large numbers of distinct sample points. With these solutions to hand, their robustness scores are easily obtained and heuristically robust solutions found. We find evolutionary computation to be effective for this purpose on these problems.
Modeling The Homeschool Timetabling Problem Using Integer Programming, Subhashini Srinivasan
Modeling The Homeschool Timetabling Problem Using Integer Programming, Subhashini Srinivasan
Theses and Dissertations
Home schooling has steadily been increasing in the past decade. According to a survey in 2007, about 2.5 million children were being home schooled in the US. Typically, parents provide education at the convenience of their home and in some cases an instructor is appointed for the same. The Home School Timetabling problem (HSTP) deals with assigning subjects, timeslots and rooms to every student. In doing so, there are certain hard and specialty constraints that are to be satisfied. Integer programming (IP) has been used in solving the HSTP as it has the advantage of being able to provide information …
Smart Dial-A-Ride For Demand-Responsive Transit Operations: Research And Development Of A Concept Of Operations, Cornelius Nuworsoo
Smart Dial-A-Ride For Demand-Responsive Transit Operations: Research And Development Of A Concept Of Operations, Cornelius Nuworsoo
City and Regional Planning
No abstract provided.
Understanding, And Developing, Audience Engagement With Dctv, Eddie Brennan
Understanding, And Developing, Audience Engagement With Dctv, Eddie Brennan
Other
This research explores community members’ perceptions of Dublin Community Television (DCTV), its programming and its programme schedule.
The Effect Of Scheduling Models For Introductory Algebra On 9th-Grade Students, Test Scores And Grades, Angela L. O'Hanlon
The Effect Of Scheduling Models For Introductory Algebra On 9th-Grade Students, Test Scores And Grades, Angela L. O'Hanlon
Student Work
The purpose of the study was to determine the effect of pacing and scheduling of algebra coursework on assigned 9th-grade students who traditionally would qualify for pre-algebra instruction and same course 9th-grade students who traditionally would qualify for standard algebra instruction. Students were selected based on completion of first-year algebra by the end of their 9th-grade year. This study will compare all students’ math EXPLORE test scores, PLAN test scores, algebra common summative assessments (CSAs), geometry CSAs, fall grade point averages (GPAs) and spring GPAs.
Scheduling Procedures For A Family Practice Doctor's Office., Gabriel Barron
Scheduling Procedures For A Family Practice Doctor's Office., Gabriel Barron
Electronic Theses and Dissertations
In order to allow quality healthcare to be available to more people, healthcare must be as affordable as possible. Ideally this will be done through the elimination of the waste that is built into the current healthcare system. One area that is ready for waste reduction is the manner in which family practice doctors’ offices and hospitals schedule patients. Despite hospitals being incredibly sophisticated and employing very intelligent individuals, their scheduling is often very old fashioned and does not take into account walk-in patients or no-show patients. Fortunately, some more advanced scheduling methods have been developed. One of these scheduling …
Random Keys Genetic Algorithms Scheduling And Rescheduling Systems For Common Production Systems, Elkin Rodriguez-Velasquez
Random Keys Genetic Algorithms Scheduling And Rescheduling Systems For Common Production Systems, Elkin Rodriguez-Velasquez
Engineering Management & Systems Engineering Theses & Dissertations
The majority of scheduling research deals with problems in specific production environments with specific objective functions. However, in many cases, more than one problem type and/or objective function exists, resulting in the need for a more generic and flexible system to generate schedules. Furthermore, most of the published scheduling research focuses on creating an optimal or near optimal initial schedule during the planning phase. However, after production processes start, circumstances like machine breakdowns, urgent jobs, and other unplanned events may render the schedule suboptimal, obsolete or even infeasible resulting in a "rescheduling" problem, which is typically also addressed for a …
Optimization Models And Approximate Algorithms For The Aerial Refueling Scheduling And Rescheduling Problems, Sezgin Kaplan
Optimization Models And Approximate Algorithms For The Aerial Refueling Scheduling And Rescheduling Problems, Sezgin Kaplan
Engineering Management & Systems Engineering Theses & Dissertations
The Aerial Refueling Scheduling Problem (ARSP) can be defined as determining the refueling completion times for fighter aircrafts (jobs) on multiple tankers (machines) to minimize the total weighted tardiness. ARSP can be modeled as a parallel machine scheduling with release times and due date-to-deadline window. ARSP assumes that the jobs have different release times, due dates, and due date-to-deadline windows between the refueling due date and a deadline to return without refueling. The Aerial Refueling Rescheduling Problem (ARRP), on the other hand, can be defined as updating the existing AR schedule after being disrupted by job related events including the …
Computational Intelligence In Wireless Sensor Networks: A Survey, Raghavendra V. Kulkarni, Anna Förster, Ganesh K. Venayagamoorthy
Computational Intelligence In Wireless Sensor Networks: A Survey, Raghavendra V. Kulkarni, Anna Förster, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
Wireless sensor networks (WSNs) are networks of distributed autonomous devices that can sense or monitor physical or environmental conditions cooperatively. WSNs face many challenges, mainly caused by communication failures, storage and computational constraints and limited power supply. Paradigms of computational intelligence (CI) have been successfully used in recent years to address various challenges such as data aggregation and fusion, energy aware routing, task scheduling, security, optimal deployment and localization. CI provides adaptive mechanisms that exhibit intelligent behavior in complex and dynamic environments like WSNs. CI brings about flexibility, autonomous behavior, and robustness against topology changes, communication failures and scenario changes. …
Due-Date Assignment And Optional Maintenance Activity Scheduling Problem With Linear Deterioreting Jobs, Chou-Jung Hsu, Suh-Jenq Yang, Dar-Li Yang
Due-Date Assignment And Optional Maintenance Activity Scheduling Problem With Linear Deterioreting Jobs, Chou-Jung Hsu, Suh-Jenq Yang, Dar-Li Yang
Journal of Marine Science and Technology
The focus of this work is to analyze linear deteriorating jobs in a single-machine scheduling problem with due-date assignment and maintenance activity. The linear deteriorating jobs means its processing time is an increasing function of their starting time. The objective is to minimize the total of earliness, tardiness and due-date cost. To solve the scheduling problem addressed in this work, we have to determine the job sequence, the common due-date, and the location of a maintenance activity. We show that the problem can be solved optimally in O(n2 log n) time.
Gis-Based Irrigation District Flow Routing/Scheduling, Charles M. Burt, Beau Freeman
Gis-Based Irrigation District Flow Routing/Scheduling, Charles M. Burt, Beau Freeman
BioResource and Agricultural Engineering
In 2007, the Irrigation Training and Research Center (ITRC) at California Polytechnic State University, San Luis Obispo undertook to develop a prototype of an intelligent and scalable real-time GIS-based water scheduling and routing software system for irrigation districts, capable of integrating multiple data sources into an information access and management facility featuring collaborative tools with automatic reasoning and analytical capabilities. Improving the infrastructure and management capabilities of irrigation districts in order to provide flexible delivery schedules and increase participation in peak demand reduction programs has been identified as having a significant potential to achieve energy conservation and resource efficiencies.
The …
Leveraging Multi-User Diversity, Channel Diversity And Spatial Reuse For Efficient Scheduling In Wireless Relay Networks, Shen Wan, Jian Tang, Brendan Mumey, Richard S. Wolff, Weiyi Zhang
Leveraging Multi-User Diversity, Channel Diversity And Spatial Reuse For Efficient Scheduling In Wireless Relay Networks, Shen Wan, Jian Tang, Brendan Mumey, Richard S. Wolff, Weiyi Zhang
Electrical Engineering and Computer Science - All Scholarship
Relay stations can be deployed in a wireless network to extend its coverage and improve its capacity. In this paper, we study a scheduling problem in OFDMA-based wireless relay networks with consideration for multi-user diversity, channel diversity and spatial reuse. First, we present a Mixed Integer Linear Programming (MILP) formulation to provide optimum solutions. It has been shown by previous research that performance of a wireless scheduling algorithm is usually related to the interference degree δ, which is the maximum number of links that interfere with a common link but do not interfere with each other. Therefore, we then show …
Integrating Multiple Clusters For Compute-Intensive Applications, Zhifeng Yun
Integrating Multiple Clusters For Compute-Intensive Applications, Zhifeng Yun
LSU Doctoral Dissertations
Multicluster grids provide one promising solution to satisfying the growing computational demands of compute-intensive applications. However, it is challenging to seamlessly integrate all participating clusters in different domains into a single virtual computational platform. In order to fully utilize the capabilities of multicluster grids, computer scientists need to deal with the issue of joining together participating autonomic systems practically and efficiently to execute grid-enabled applications. Driven by several compute-intensive applications, this theses develops a multicluster grid management toolkit called Pelecanus to bridge the gap between user's needs and the system's heterogeneity. Application scientists will be able to conduct very large-scale …
Probabilistic Models For Patient Scheduling, Adel Alaeddini
Probabilistic Models For Patient Scheduling, Adel Alaeddini
Wayne State University Theses
In spite of the success of theoretical appointment scheduling methods, there have been significant failures in practice primarily due to the rapid increase in the number of no-shows and cancelations from the individuals in recent times. These disruptions not only cause inconvenience to the management but also has a significant impact on the revenue, cost and resource utilization. In this research, we develop a hybrid probabilistic model based on logistic regression and Bayesian inference to predict the probability of no-shows in real-time. We also develop two novel non-sequential and sequential optimization models which can effectively use no-show probabilities for scheduling …
Optimal Advertisement Scheduling In Breaks Of Random Lengths, Ajay Srinivasan Aravamudhan
Optimal Advertisement Scheduling In Breaks Of Random Lengths, Ajay Srinivasan Aravamudhan
Dissertations and Theses Collection (Open Access)
Broadcasters generate a large part of their revenue through advertising, especially in live sports. Scheduling advertisements can be challenging in live broadcasting, however, for sports such as Cricket that have breaks of random lengths and number during which the ads are shown. This uncertainty, coupled with the high price of spots for major competitions, means that improving ad scheduling can add significant value to the broadcaster. This problem shares similarities with the stochastic cutting stock problem and the dynamic stochastic knapsack problem, with applications in the wood, steel and paper industry and the transportation industry respectively.
This dissertation adds to …
Project Management Training, Bob Mccullouch, Walter Land
Project Management Training, Bob Mccullouch, Walter Land
JTRP Technical Reports
In 2005 the Indiana Department of Transportation (INDOT) went through a complete reorganization of its operations going from centralized to decentralized (District) management. This reorganization gave Districts autonomy to manage construction projects with one exception all added capacity projects are managed in the central office by the office of project management. Following in 2006 INDOT initiated a program named “Major Moves.” This is a ten year major road building program that was funded partially through a $4 billion lease of the Indiana Toll Road. Through Major Moves annual new construction will go from $213 million in FY 2006 to $1.2 …
Quality Of Service Based Data-Aware Scheduling, Archit Kulshrestha
Quality Of Service Based Data-Aware Scheduling, Archit Kulshrestha
LSU Doctoral Dissertations
Distributed supercomputers have been widely used for solving complex computational problems and modeling complex phenomena such as black holes, the environment, supply-chain economics, etc. In this work we analyze the use of these distributed supercomputers for time sensitive data-driven applications. We present the scheduling challenges involved in running deadline sensitive applications on shared distributed supercomputers running large parallel jobs and introduce a ``data-aware'' scheduling paradigm that overcomes these challenges by making use of Quality of Service classes for running applications on shared resources. We evaluate the new data-aware scheduling paradigm using an event-driven hurricane simulation framework which attempts to run …