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A Survey Of Edge Computing Resource Allocation And Task Scheduling Optimization, Wang Ling, Chuge Wu, Wenhui Fan 2021 Department of Automation, Tsinghua University, Beijing 100084, China;

A Survey Of Edge Computing Resource Allocation And Task Scheduling Optimization, Wang Ling, Chuge Wu, Wenhui Fan

Journal of System Simulation

Abstract: With the rapid development of Internet of Things (IoT) and mobile terminals, the concept of edge computing arises. By moving the computation and storage capacity to the edge of network, edge computing is able to deal with a large amount of data produced by IoT devices and the responsive request from IoT application. To improve the utility of edge resource, the quality of service and quality of user experience, resource allocation and task scheduling optimization problems under edge computing attract wide attention. It becomes more difficult due to the geographic separated and heterogeneous features of edge computing resource as …


Simulation Analysis Of Impact Of Complex Network On Herd Effect, Li Feng, Wei Ying 2021 1. School of Business Administration, South China University of Technology, Guangzhou 510640, China; ;

Simulation Analysis Of Impact Of Complex Network On Herd Effect, Li Feng, Wei Ying

Journal of System Simulation

Abstract: Herd behavior is valuable but complicated. The impact of different type complex network on herd effect is analyzed by multi-agent modeling and simulation. In the model, herd behavior of decision-maker is modeled based on the advanced evidences from empirical study. Through simulation, not only the conclusions drawn from traditional mathematical modeling are verified, but also the whole evolving process of herd effect is inspected and the evolving speed related features can be used to evaluate performances of herd effect. More important, simulation results show the network structure of different type complex networks is one of the key factors …


Technology Evolution Network Model And Simulation Based On Patent Citation Network, You Ge, Guo Hao, Liu Xiang 2021 1. School of Management, Jinan University, Guangzhou 510632, China; ;

Technology Evolution Network Model And Simulation Based On Patent Citation Network, You Ge, Guo Hao, Liu Xiang

Journal of System Simulation

Abstract: On the basis of on the patent citation network and complex networks, a technology evolution network model is constrcucted, which revealed the topology structure, evolution rules and dynamics of the technology evolution network. By introducing time and fitness preferential attachments mechanism, the effect of time factor and selection law of “survival of the fittest” on evolution of network structure during the technology evolution is studied. The results showed that the technology evolution network had the characteristic of scale-free, which is the result of global selection of “survival of the fittest” in the process of technology accumulation; The effect of …


Simulation Of Benefit Distribution In Platform Delivery Mode, Zheng Wen, Chenxi Dou, Zhe Zhang 2021 School of Management, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China;

Simulation Of Benefit Distribution In Platform Delivery Mode, Zheng Wen, Chenxi Dou, Zhe Zhang

Journal of System Simulation

Abstract: Aiming at the benefit distribution relationship of platform delivery mode(PDM), the multi-agents-based model is applied to construct the benefit distribution of PDM. The Swarm simulation platform is used to explore the trading status changes of the participants under different scales; Considering the cost-profit condition, the sense of relative deprivation is introduced as the index to express the individual perception in exploring the emergency of the co-effective relationship of the individual perception and the benefit distribution in systematic and emergence points. The model and its results can reveal the benefit distribution states of the existing PDM structure and the collective …


Network Traffic Anomaly Detection Method For Imbalanced Data, Shuqin Dong, Bin Zhang 2021 1. SSF Information Engineering University, Zhengzhou 450001, China; ;2. Henan Key Laboratory of Information Security, Zhengzhou 450001, China;

Network Traffic Anomaly Detection Method For Imbalanced Data, Shuqin Dong, Bin Zhang

Journal of System Simulation

Abstract: Aiming at the poor detection performances caused by the low feature extraction accuracy of rare traffic attacks from scarce samples, a network traffic anomaly detection method for imbalanced data is proposed. A traffic anomaly detection model is designed, in which the traffic features in different feature spaces are learned by alternating activation functions, architectures, corrupted rates and dropout rates of stacked denoising autoencoder (SDA), and the low accuracy in extracting features of rare traffic attacks in a single space is solved. A batch normalization algorithm is designed, and the Adam algorithm is adopted to train parameters of …


Research On Generation Technology Of Computer Generated Force In Lvc Training System, Gao Ang, Zhiming Dong, Guohui Zhang, Liang Tao, Qisheng Guo 2021 1. Army Armored Force Academy Drill and Training Center, Beijing 100072, China; ;

Research On Generation Technology Of Computer Generated Force In Lvc Training System, Gao Ang, Zhiming Dong, Guohui Zhang, Liang Tao, Qisheng Guo

Journal of System Simulation

Abstract: LVC training system of the combat equipment under the condition of confrontation is an effective means of training, aiming at the problem that in LVC training system, computer generated forces are difficult to meet the demand of training problems. The concept of LVC training and LVC training system is clarified, according to the relationship between model and system structure, the corresponding modeling technology requirements of three different hierarchical models, namely logical range entity configuration, command entity and combat entity, are expounded. According to the specific requirements, four computer-generated force generation methods are proposed, namely, logical target range virtual and …


Heterogeneous Performance Modeling With Applications In Healthcare And Reliability Engineering, Xuxue Sun 2021 University of South Florida

Heterogeneous Performance Modeling With Applications In Healthcare And Reliability Engineering, Xuxue Sun

USF Tampa Graduate Theses and Dissertations

In both health systems engineering and reliability engineering, individual units, such as patients and product units, often exhibit highly heterogeneous performance due to the influences of various observed individual characteristics and unobserved/unknown factors. Successful modeling of the heterogeneous performance of individual units is of great importance. It will not only facilitate the identification and quantification of influencing factors for improving performance of individual units, but also improve prediction accuracy of their future performance. This will further facilitate better decisions, such as cost-effective and adaptive healthcare resource planning decision, and proactive maintenance policy at reduced cost. However, due to the highly …


A Dynamic Programming Approach To Determine Optimum Modularity Level In Industrial Packaging, Marshal Louie, Kumar B 2021 Anna University

A Dynamic Programming Approach To Determine Optimum Modularity Level In Industrial Packaging, Marshal Louie, Kumar B

Journal of Applied Packaging Research

Modular packaging facilitate customization for accommodating variable product sizes in a product family. When determining package sizes for product variability, packaging engineers does not find difficulty to determine package dimension for less product variety whereas if the product variety is more, then determining the dimension of modular package involves complex decision-making and time-consuming process to find the optimal solution. This in turn directly impacts the overall lead time of the supply chain. Thus, in this paper a dynamic programming is developed to determine the quantity and dimension of modular packages for every demand of assorted products sizes. The program helps …


Do Your Projects Support Your Strategy? Applying Benefits Realization Management, Phil Jones 2021 University of Arkansas, Fayetteville

Do Your Projects Support Your Strategy? Applying Benefits Realization Management, Phil Jones

Operations Management Presentations

In this webinar, foundational concepts of Benefits Realization Management will be presented and discussed. Benefits Realization Management (BRM) is a both a discipline and a process used to align projects undertaken by an organization with the organization’s strategy and culture.


Energy Consumption And Tardiness Improvement For A Flexible Job Shop And A Warehouse, Ahmad Ebrahimi 2021 Louisiana State University and Agricultural and Mechanical College

Energy Consumption And Tardiness Improvement For A Flexible Job Shop And A Warehouse, Ahmad Ebrahimi

LSU Doctoral Dissertations

In recent years, energy consumption (EC) is studied to see its effects on monetary and non-monetary costs in manufacturing and warehousing. EC in manufacturing and warehousing, however, needs to be studied with conventional performance measures such as production/operation tardiness since there is a trade-off between EC and tardiness costs. Therefore, this research is conducted with four objectives to study EC and tardiness for a flexible job shop and a warehouse as follows. The first objective of this research is to integrate job scheduling and layout, which are interrelated in improving EC and tardiness for a flexible job shop. Thus, we …


Waste Collection Routing Problem: A Mini-Review Of Recent Heuristic Approaches And Applications, Yun-Chia LIANG, Vanny MINANDA, Aldy GUNAWAN 2021 Yuan-Ze University

Waste Collection Routing Problem: A Mini-Review Of Recent Heuristic Approaches And Applications, Yun-Chia Liang, Vanny Minanda, Aldy Gunawan

Research Collection School Of Computing and Information Systems

The waste collection routing problem (WCRP) can be defined as a problem of designing a route to serve all of the customers (represented as nodes) with the least total traveling time or distance, served by the least number of vehicles under specific constraints, such as vehicle capacity. The relevance of WCRP is rising due to its increased waste generation and all the challenges involved in its efficient disposal. This research provides a mini-review of the latest approaches and its application in the collection and routing of waste. Several metaheuristic algorithms are reviewed, such as ant colony optimization, simulated annealing, genetic …


Assessing The Effectiveness Of Afwerx Ability To Influence Regional Participation Rates And Capture Cluster Specific Technological Innovations, Colin M. Sandor 2021 Air Force Institute of Technology

Assessing The Effectiveness Of Afwerx Ability To Influence Regional Participation Rates And Capture Cluster Specific Technological Innovations, Colin M. Sandor

Theses and Dissertations

The 2018 National Defense Strategy (NDS) emphasized capturing innovation through partnerships with non-traditional defense contractors. Furthermore, the NDS outlined the need to rapidly acquire new technologies to maintain a competitive advantage against our adversaries. The AFWERX program is the Air Forces attempt to accomplish these goals. AFWERX seeks to capture innovations occurring within the private sector of the United States by placing itself geographically within top innovation ecosystems. An approach that creates a setting where the Air Force is one of many investors, who benefit from the learning and investments across the entire network. The research within this paper examines …


Training Subject Matter Experts To Make Better Estimates, Cameron R. Scott 2021 Air Force Institute of Technology

Training Subject Matter Experts To Make Better Estimates, Cameron R. Scott

Theses and Dissertations

Subject Matter Expert (SME) Elicitation is commonly used as a cost-estimation method when no historical data exists. The elicitation process assumes Subject Matter Experts are the resident experts in their individual fields of study. In addition, the process assumes SMEs provide reasonably trustworthy cost estimates that follow the tenets of probability theory. This last assumption is the subject of this study. A Navy sponsored e-learning course was created to help train SMEs in understanding probability distributions (O'Hagan, 2019). We conducted a study hypothesizing that taking the e-learning course would improve study participant accuracy in estimating confidence intervals for probability distributions.


An Analysis Of Application Type, Super Domain, And Productivity In Software Intensive Defense Acquisition, Evan P. Amato 2021 Air Force Institute of Technology

An Analysis Of Application Type, Super Domain, And Productivity In Software Intensive Defense Acquisition, Evan P. Amato

Theses and Dissertations

The productivity of software developers has been an area of interest in the private industry in an endeavor to more appropriately interpret pertinent software development cost drivers. In an effort to better predict the cost of developing software, many have focused on Application Type as an important factor. The Department of Defense (DoD) has recently adopted a similar focus. Studies on categorization schemes of Application Types have shown increasingly relevant cost and productivity driving characteristics recently in the DoD. Identification of factors associated with distinct productivity effects is important for the defense acquisition and software cost estimation domains. Distinct factors …


A Method For Visualizing The Structural Complexity Of Organizational Architectures, Jacob Michael B. King 2021 California Polytechnic State University, San Luis Obispo

A Method For Visualizing The Structural Complexity Of Organizational Architectures, Jacob Michael B. King

Master's Theses

To achieve a high level of performance and efficiency, contemporary aerospace systems must become increasingly complex. While complexity management traditionally focuses on a product’s components and their interconnectedness, organizational representation in complexity analysis is just as essential. This thesis addresses this organizational aspect of complexity through an Organizational Complexity Metric (OCM) to aid complexity management. The OCM augments Sinha’s structural complexity metric for product architectures into a metric that can be applied to organizations. Utilizing nested numerical design structure matrices (DSMs), a compact visual representation of organizational complexity was developed. Within the nested numerical DSM are existing organizational datasets used …


Reducing Military Personnel Flight Wait Times Using A Simulation, Matthew D. Cornman 2021 Air Force Institute of Technology

Reducing Military Personnel Flight Wait Times Using A Simulation, Matthew D. Cornman

Theses and Dissertations

A shortage of resources and system failures have put a strain on Military Personnel Flights (MPFs) being able to service their customers in a timely manner. Prolonged customer wait times are becoming a common problem in most MPFs creating problems between the relationship of the customers and leadership. This research uses historical data of an MPF to develop a simulation model of daily operations in an MPF. Subject matter expertise of current MPF operations and resource levels were used to provide a baseline model of the MPF queuing system. The analysis examines the effects of number of Defense Enrollment Eligibility …


Air Combat Maneuvering Via Operations Research And Artificial Intelligence Methods, James B. Crumpacker 2021 Air Force Institute of Technology

Air Combat Maneuvering Via Operations Research And Artificial Intelligence Methods, James B. Crumpacker

Theses and Dissertations

Within visual range air combat requires rapid, sequential decision-making to survive and defeat the adversary. Fighter pilots spend years perfecting maneuvers for these types of engagements, yet the emergence of unmanned, autonomous vehicle technologies elicits a natural question - can an autonomous unmanned combat aerial vehicle (AUCAV) be imbued with the necessary artificial intelligence to perform air combat maneuvering tasks independently? We formulate and solve the air combat maneuvering problem to examine this question, developing a Markov decision process model to control an AUCAV seeking to destroy a maneuvering adversarial vehicle. An approximate dynamic programming (ADP) approach implementing neural network …


An Examination Of Potential Training Regression Recognition Algorithms For Pilot Training Next, Alex R. Gaines 2021 Air Force Institute of Technology

An Examination Of Potential Training Regression Recognition Algorithms For Pilot Training Next, Alex R. Gaines

Theses and Dissertations

The initiative to reduce the Air Forces serious pilot shortage lead to the Pilot Training Next (PTN) program. Under PTN, student pilots progress at an individual rate while making increased use of simulator-based training resources. A previous thesis used data from the first PTN class to conceptualize and prototype a student training flight scheduler. This scheduler did not consider training events required to bring students back to achieved levels of performance if in fact that student performance had regressed. This thesis examines three classes of PTN student data to determine whether student regression in training progression can be detected. A …


Allocation Of Scarce Healthcare Resources In A Military Treatment Facility During A Pandemic: A Comparison Of Goal Programming And Portfolio Decision Analysis Methods, Donald B. Hale 2021 Air Force Institute of Technology

Allocation Of Scarce Healthcare Resources In A Military Treatment Facility During A Pandemic: A Comparison Of Goal Programming And Portfolio Decision Analysis Methods, Donald B. Hale

Theses and Dissertations

In a pandemic, healthcare decisionmakers face the challenge of allocating critical, but scarce healthcare resources in a dynamic, uncertain environment. Their decisions will not only affect the patients coming to the hospital for treatment, but also the Military Treatment Facility's personnel responsible. The decisionmaker must decide how to allocate these resources to achieve multiple, conflicting objectives under multiple constraints. In response, we propose a methodology for the implementation of both Portfolio Decision Analysis and Goal Programming. The steps of this methodology provide a framework with which the decisionmaker can develop optimal allocation of resources. This framework was then applied to …


Ccsfs/Ksc Total Lightning Warning Radii Optimization For Merlin Using Preexisting Lightning Areas, Kimberly G. Holland 2021 Air Force Institute of Technology

Ccsfs/Ksc Total Lightning Warning Radii Optimization For Merlin Using Preexisting Lightning Areas, Kimberly G. Holland

Theses and Dissertations

The purpose of this research is to optimize lightning warning radii specifications for the 45th Space Wing (45 SW), thus reducing the number of unnecessary warnings that delay ground processing needed for space launch execution at Kennedy Space Center and Cape Canaveral Space Force Station. This thesis sought to answer two key research questions addressing: 1) What radius reduction effectively balances both safety and operations and do reduction recommendations from previous research align with results from the new detection system? 2) What insights can be gained from comparing measurement results for seasonal lightning events as well as lightning types? This …


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