Operations Research, Systems Engineering and Industrial Engineering Commons^™

The Empathetic Car: Exploring Emotion Inference Via Driver Behaviour And Traffic Context, Shu Liu, Kevin Koch, Zimu Zhou, Simon Foll, Xiaoxi He, Tina Menke, Elgar Fleisch, Felix Wortmann

Research Collection School Of Computing and Information Systems

An empathetic car that is capable of reading the driver’s emotions has been envisioned by many car manufacturers. Emotion inference enables in-vehicle applications to improve driver comfort, well-being, and safety. Available emotion inference approaches use physiological, facial, and speech-related data to infer emotions during driving trips. However, existing solutions have two major limitations: Relying on sensors that are not built into the vehicle restricts emotion inference to those people leveraging corresponding devices (e.g., smartwatches). Relying on modalities such as facial expressions and speech raises privacy concerns. By contrast, researchers in mobile health have been able to infer affective states (e.g., …

Routing Policy Choice Prediction In A Stochastic Network: Recursive Model And Solution Algorithm, Tien Mai, Xinlian Yu, Song Gao, Emma Frejinger

Research Collection School Of Computing and Information Systems

We propose a Recursive Logit (STD-RL) model for routing policy choice in a stochastic time-dependent (STD) network, where a routing policy is a mapping from states to actions on which link to take next, and a state is defined by node, time and information. A routing policy encapsulates travelers’ adaptation to revealed traffic conditions when making route choices. The STD-RL model circumvents choice set generation, a procedure with known issues related to estimation and prediction. In a given state, travelers make their link choice maximizing the sum of the utility of the outgoing link and the expected maximum utility until …

A Learning And Optimization Framework For Collaborative Urban Delivery Problems With Alliances, Jingfeng Yang, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

The emergence of e-Commerce imposes a tremendous strain on urban logistics which in turn raises concerns on environmental sustainability if not performed efficiently. While large logistics service providers (LSPs) can perform fulfillment sustainably as they operate extensive logistic networks, last-mile logistics are typically performed by small LSPs who need to form alliances to reduce delivery costs and improve efficiency, and to compete with large players. In this paper, we consider a multi-alliance multi-depot pickup and delivery problem with time windows (MAD-PDPTW) and formulate it as a mixed-integer programming (MIP) model. To cope with large-scale problem instances, we propose a two-stage …

Enterprise Resource Allocation For Intruder Detection And Interception, Adam B. Haywood

Theses and Dissertations

This research considers the problem of an intruder attempting to traverse a defender's territory in which the defender locates and employs disparate sets of resources to lower the probability of a successful intrusion. The research is conducted in the form of three related research components. The first component examines the problem in which the defender subdivides their territory into spatial stages and knows the plan of intrusion. Alternative resource-probability modeling techniques as well as variable bounding techniques are examined to improve the convergence of global solvers for this nonlinear, nonconvex optimization problem. The second component studies a similar problem but …

Deep Learning For Weather Clustering And Forecasting, Nathaniel R. Beveridge

Theses and Dissertations

Clustering weather data is a valuable endeavor in multiple respects. The results can be used in various ways within a larger weather prediction framework or could simply serve as an analytical tool for characterizing climatic differences of a particular region of interest. This research proposes a methodology for clustering geographic locations based on the similarity in shape of their temperature time series over a long time horizon of approximately 11 months. To this end an emerging and powerful class of clustering techniques that leverages deep learning, called deep representation clustering (DRC), are utilized. Moreover, a time series specific DRC algorithm …

Collaborative All-Source Navigation With Integrity, Jonathon S. Gipson

Theses and Dissertations

The novel ARMAS-SOM framework fuses collaborative all-source sensor information in a resilient manner with fault detection, exclusion, and integrity solutions recognizable to a GNSS user. This framework uses a multi-filter residual monitoring approach for fault detection and exclusion and is augmented with an additional "observability" EKF sub-layer for resilience. We monitor the a posteriori state covariances in this sub-layer to provide intrinsic awareness when navigation state observability assumptions required for integrity are in danger. This is used to selectively augment the framework with offboard information to preserve resilience. By maintaining split parallel collaborative and proprioceptive estimation instances and employing a …

Wavelet Methods For Very-Short Term Forecasting Of Functional Time Series, Jared K. Nystrom

Theses and Dissertations

Space launch operations at Kennedy Space Center and Cape Canaveral Space Force Station (KSC/CCSFS) are complicated by unique requirements for near-real time determination of risk from lightning. Lightning forecast weather sensor networks produce data that are noisy, high volume, and high frequency time series for which traditional forecasting methods are often ill-suited. Current approaches result in significant residual uncertainties and consequentially may result in forecasting operational policies that are excessively conservative or inefficient. This work proposes a new methodology of wavelet-enabled semiparametric modeling to develop accurate and timely forecasts robust against chaotic functional data. Wavelets methods are first used to …

Performance Improvement Through Better Understanding Of Supply Chain Resilience, Amanda L. Femano

Theses and Dissertations

Businesses operate every day in a disruptive environment. Supply and demand uncertainty, natural disasters, global pandemics, and mishaps can all cause chaos to a supply chain’s flow. It is impossible to predict every disruption a supply chain may encounter. The best an organization can do to protect network performance is to build resilience in the supply chain and life-blood of its operations. Ensuring that a supply chain has the proper built-in mechanisms to resist and recover from disruptions is referred to as Supply Chain Resilience (SCR). While it is generally agreed that SCR can be improved through the implementation of …

Multi-Stage Stochastic Optimization And Reinforcement Learning For Forestry Epidemic And Covid-19 Control Planning, Sabah Bushaj

Dissertations

This dissertation focuses on developing new modeling and solution approaches based on multi-stage stochastic programming and reinforcement learning for tackling biological invasions in forests and human populations. Emerald Ash Borer (EAB) is the nemesis of ash trees. This research introduces a multi-stage stochastic mixed-integer programming model to assist forest agencies in managing emerald ash borer insects throughout the U.S. and maximize the public benets of preserving healthy ash trees. This work is then extended to present the first risk-averse multi-stage stochastic mixed-integer program in the invasive species management literature to account for extreme events. Significant computational achievements are obtained using …

Stochastic Programming And Agent-Based Simulation Approaches For Epidemics Control And Logistics Planning, Xuecheng Yin

Dissertations

This dissertation addresses the resource allocation challenges of fighting against infectious disease outbreaks. The goal of this dissertation is to formulate multi-stage stochastic programming and agent-based models to address the limitations of former literature in optimizing resource allocation for preventing and controlling epidemics and pandemics. In the first study, a multi-stage stochastic programming compartmental model is presented to integrate the uncertain disease progression and the logistics of resource allocation to control a highly contagious infectious disease. The proposed multi-stage stochastic program, which involves various disease growth scenarios, optimizes the distribution of treatment centers and resources while minimizing the total expected …

Constructive Solution Methodologies To The Capacitated Newsvendor Problem And Surrogate Extension, Pinyuan Shan

Dissertations

The newsvendor problem is a single-period stochastic model used to determine the order quantity of perishable product that maximizes/minimizes the profit/cost of the vendor under uncertain demand. The goal is to fmd an initial order quantity that can offset the impact of backlog or shortage caused by mismatch between the procurement amount and uncertain demand. If there are multiple products and substitution between them is feasible, overstocking and understocking can be further reduced and hence, the vendor's overall profit is improved compared to the standard problem. When there are one or more resource constraints, such as budget, volume or weight, …

Problems Of Modeling And Control Of The Technological Process Of Ore Grinding, Djalolitdin Pakhritdinovich Mukhitdinov, Sanjar Boybutayev

Chemical Technology, Control and Management

The article analyzes the methods of mathematical modeling of the closed-loop process of fine grinding of ore in order to predict the composition of the crushed raw material. Analyzed modeling methods that consider the control of classification of crushed raw materials and finished products by the size of the recirculating load, simulation modeling methods, methods that use neuro-phase netthe research apparatus, in which the fuzzy logic apparatus serves as a fundamental component for the formation of conclusions. The materials presented in the article reflect the theoretical substantiation and generalization of the accumulated practical experience in modeling and control of the …

Structural-Parametric Analysis And Synthesis Of Control Systems With Two Degrees Of Freedom, Azizbek Nodirbekovich Yusupbekov, Khurshid Salim Ugli Turayev

Chemical Technology, Control and Management

Automatic tuning of the parameters of PID - regulators is proposed by means of a modified experiment that takes into account the influence of elements and circuits in the form of additive uncertainty. The use of a multiply connected control scheme with two degrees of freedom for decoupling is proposed in order to facilitate the implementation of a mechanism for combating the phenomenon of integral saturation. Equations are derived for the transition from a circuit with one degree of freedom to a circuit with two degrees of freedom for the general and special cases of a two-dimensional system, which makes …

Algorithm For The Synthesis Of The Control System Of A Double Mass Elastic Dynamic Object, Isomiddin Khakimovich Siddikov, Gulchekhra Rakhimjonovna Alimova, Davronbek Abdalimovich Khalmatov

Chemical Technology, Control and Management

There are dealt with the creation of a control system for a dynamic object with an elastic property, described by a system of second-order differential equations, further transformed into two polynomial equations in matrix form in a paper. In order to solve the problem of synthesizing the control system, two matrix polynomials with unknown parameters were introduced into the system of equations, which is the transfer function of the controller, the order of which is two, giving the system the properties of astatism. To solve the delivered problem posed, the matrix polynomial equation was transformed into a matrix linear equation …

Preparation Of Meta-Nitrobenzoylhydrazone Ferrocenoylacetone And Synthesis On Its Basis, Zilola Abduraxmonovna Sulaymonova, Bako Bafayevich Umarov Doctor Chemical Science, Professor

Chemical Technology, Control and Management

β-diketone-ferrocenoylacetone was obtained by Claisen condensation. Meta-nitrobenzoylhydrazone of ferrocenoylacetone (H₂L) was synthesized by the interaction of meta-nitrobenzoic acid hydrazide with ferrocenoylacetone. On its basis, complexes with copper(II) and nickel(II) ions were synthesized. The obtained compounds were characterized by the methods of elemental analysis, IR-, ¹H NMR andelectronic spectroscopy. The research results showed that H₂L in solution exists in the form of a tautomeric mixture: hydrazone, α-hydroxyazine, and cyclic 5-hydroxypyrazoline forms. According to the results of IR and ¹H NMR spectra, the complexes were assigned a planar-square structure, and in them the doubly deprotonated …

Application Of Methods Of Intermittent Ventilation Of Industrial Premises Using A Digital Data Transmission System, Yuriy Shipulin, Abdullayev Temur, Jamolidin Usmanov, Shahnoza Ergasheva

Chemical Technology, Control and Management

The article is devoted to topical applied issues, the application of methods of intermittent ventilation of industrial buildings using a digital data transmission system. The requirements for the parameters of the environment are determined, which include: composition, purity, temperature, air humidity, the content of positive and negative ions, the presence of fields of various origins (thermal, optical, biological, gas, and electromagnetic). The authors of the article argue that some of the listed parameters can be supported by ventilation and air conditioning (SCA) systems.

It is shown that when the controlled parameters are limited to a multidimensional area, the SCA control …

Algorithms For Controlling The State Of Executive Mechanisms, Farkhod Kasimov, Mirkhalil Ismailov

Chemical Technology, Control and Management

When constructing automatic control systems, the main attention often is paid to determining the optimal parameters of system regulators than other elements that make up the system. The executive mechanisms also significantly affect the function quality of the control system. In this article, the actuators were considered as a sub-system within the control system and control algorithms with open and closed-loop communication relative to the actuators were investigated. To assess the real state of the actuators, and improved control structure with sensors installed on the moving parts has been developed. For this structure, an algorithm for evaluating and controlling the …

Artificial Neural Networks For Measuring The Moisture Of Bulk Materials, Erkin Uljaev, Shohrux Nurali O‘G‘Li Narzullayev

Chemical Technology, Control and Management

One of the urgent tasks of industrial production is improving the quality of verification of received, manufactured, and stored products, reducing energy consumption in the production of a final product. The solution to this problem is impossible without the creation of devices that control the quality indicators of materials within the limits of the permissible error. One of the most common indicators of the quality of bulk materials is moisture. In the national economy and industrial production, it is required to determine the moisture content of more than 500 different substances and materials. The paper shows the possibility of using …

Analysis Of Errors Of The Ultrasonic Level And Increasing The Accuracy Of Measuring The Level Of Liquid Materials In Non-Stationary Media, Azamat Alijonovich Yusupov

Chemical Technology, Control and Management

This article is devoted to the analysis of the total error of an ultrasonic level meter designed to measure the level of liquid materials in order to improve the accuracy of the measuring system in tanks. The components of the total error of the process of measuring transformation of the liquid level are determined and the analysis of the main characteristics is carried out, to reduce the random error of the measurement system, the task of ensuring the accuracy of measurement and control of the level using an ultrasonic level gauge is presented, by averaging the measurement results when calculating …

Formalization Of The Procedure For Choosing The Optimality Criterion And Formulation The Problem Of Ammonium Nitrate Production Control, Husan Zakirovich Igamberdiev, Uktam Farkhodovich Mamirov

Chemical Technology, Control and Management

The article discusses the questions of formalization of the procedure for choosing an optimality criterion and setting the problem of controlling the production of ammonium nitrate. The analysis of the technical and economic features of the considered production is carried out. As a criterion for the efficient operation of ammonium nitrate production, such a technological indicator as specific technological costs for the main stages, determined by the interval of quasi-stationarity of the object, is used, i.e. the time of its stable work. To solve the control problem, it is proposed to use the decomposition of the control problem into a …