Computer Engineering Commons^™

Design Of Multi -Port Converter For Dc Micro-Grid System With Wind-Photovoltaic Storage, Liu Hui, Tinglong Pan

Journal of System Simulation

Abstract: In order to coordinate energy, load and storage in DC micro-grid system and make efficient utilization of new energy, a multi-port converter for DC micro-grid hybrid energy storage is proposed. According to the composition rule of multi-port converter, by inserting the Buck-boost converter and bidirectional Buck-boost converter into the bootstrap converter of Luo-converter, the DC converter topology which can be used for complementation of wind-photovoltaic storage is produced. Two-way transmission of energy is realized. The analysis of all kinds of working conditions shows that each port of the converter is able to work independently and cooperatively. Different …

Research On Internal Resistance Monitor System Of Vehicle Fuel Cell Integrated With Dc/Ac/Dc, Deng Jian, Haiquan Lü, Liyan Zhang, Shuhai Quan

Journal of System Simulation

Abstract: In order to solve the problem of complicated and costly on-line impedance monitoring operation of vehicle fuel cells, a test method that can obtain the electrochemical impedance spectroscopy (EIS) of fuel cell by Fourier transformation against output voltage and output current of fuel cell through DC/DC generation of micro-current signal is proposed. This method is integrated in a cascaded system of parallel Boost and DC/AC/DC. The parallel Boost can realize the decoupling of power transmission and disturbance signal, the DC/AC/DC converters can achieve higher boost ratios, which makes the test system more suitable for higher voltage levels such as …

Research On Gear Transmission Error Based On Chaotic Ant Swarm Optimization, Xinrong Liu, Zhonghou Wang, Kubo Aizoh

Journal of System Simulation

Abstract: In this paper, the dynamic model of bending- torsion -axis- heat of cylindrical helical gear system is established by considering the time-varying meshing stiffness and meshing impulse excitation. The NURBS method is used to reconstruct the trimming surface through superimposing the theoretical tooth surface and trimming tooth surface, then the influence of different trimming on the gear transmission error is analyzed. The optimal trimming surface is obtained by Chaos Ant Colony Algorithm. The finite element method is used to analyze the transmission error of the modified gear and the unshaped gear. The numerical simulation analysis shows that the amplitude …

The Method Summary Of Generating Large-Scale Artificial Population In An Artificial Society, Yuanzheng Ge, Zhichao Song, Rongqing Meng

Journal of System Simulation

Abstract: The generation of large-scale artificial population is the fundamental data of high-resolution agent-based artificial society. By the comparison of typical artificial population models, the basic elements, generating methods, and evolving rules, the development of artificial society, generation of population database, the establishment of spatial-temporal relationship, evolving rules of behavior, and reconstruction of social relationship are analyzed. Furthermore, data-driven method and open interface framework of artificial population are discussed, and the future direction and development are listed.

Two Complementary Methods For Studying Complex Social Systems: Simulation And Game Theory, Laobing Zhang, Qiming Ruan, Xiaogang Qiu

Journal of System Simulation

Abstract: Alongside with scientific experiments and theoretic research, scientific computation is the third paradigm for studying our world. Modelling and simulation method is a main technique of scientific computation, focusing on resulting in a suitable model for the research subject. Game theory is a natural choice for modelling intelligent interactions among multiple decision makers, which can provide accurate interaction model for the simulation of complex systems. This paper investigates the application of game theory in military operation simulation and social system simulation. Bottlenecks of the use of game theory in these simulations are pointed out and some future research directions …

A Review Of Modeling Human Travel And Social Contacts For Public Health Management, Duan Wei, Guo Gang, Bin Chen, Duan Hong

Journal of System Simulation

Abstract: It is significant to understand the patterns of human mobility and social contacts for epidemic prevention and control. This paper analyses the regularities and the statistical properties of human behaviors at the perspective of human dynamics. Various models of human mobility and social contacts are comparatively investigated , including Brownian movement, random walks, spatial network, Motifs, bipartite graph model, gravity models, contact rate, the distribution of daily contact number, social networks, etc. The models of human behavior changes in the course of epidemic outbreak are also analyzed. The challenges of modeling human mobility and social contacts are discussed …

Survey On Modeling And Simulation Of Internet Public Opinion In China, Mingxin Zhang

Journal of System Simulation

Abstract: Modeling and Simulation of Internet public opinion can analyze the causes of public opinion and its transmission path, track and predict the trend of public opinion, so as to improve the ability of public opinion guidance for its control departments. This paper reviews and analyses the existing research on Modeling and simulation of Internet public opinion. From the point of view of research directions, the current research covers many directions, mainly including the evolution mechanism of Internet public opinion and the effectiveness of guidance mechanism. From the point of view of research methods, domestic research on Internet public opinion …

A Generation Method Of Amf General Files For Heterogeneous Nurbs Volume Parametric Model, Chen Long, Wenyu Han, Xu Gang

Journal of System Simulation

Abstract: Aiming at the three-dimensional printing technology of heterogeneous NURBS (Heterogeneous Non-Uniform Rational B-spline, HNURBS) volume parametrization model, a method of generatingthe AMF (Additive Manufacturing File Format) of the three dimensional printing general file is proposed. For the continuous visual expression of material information, theHNURBS volume parametric model is constructed with the control points containing material information which is represented with gray value.According to the subdivision of the NURBS volume parametric model, the HNURBS volume parametric model is subdivided into Isoparametric mesh element. In order to get the triangular mesh for the generation of the AMF files, each …

Research On Topology Mapping Method For Multiscale Integration Network Emulation, Liu Yuan, Changling Qiu, Xiaofeng Wang, Jiang Min

Journal of System Simulation

Abstract: For large-scale and scalable network emulation requirements, multi-scale integration emulation based on lightweight virtualization and full virtualization is the trend. In order to take into account the advantages of both virtualizations and enhance the performance of network emulation, a topology mapping method (TMMI) is proposed for multi-scale integration network emulation. This method divides the network topology into lightweight virtualization mapping area and integration virtualization mapping area, and according to different mapping areas uses the optimized multi-level partitioning method to map the network topology reasonably. Experiments show that the proposed method can effectively balance the load and communication overhead …

A Hierarchical Integrated Soft Sensing Modeling Method For Gauss Process Regression, Zhao Shuai, Xudong Shi, Weili Xiong

Journal of System Simulation

Abstract: Chemical processes are often characterized by nonlinearity and multi-phase, a soft sensor model based on the hierarchical ensemble of Gaussian process regression is proposed. First, the Gaussian mixture model is used to divide the process data into different operation phases. Then, the principal component analysis of each stage is carried out, and the model data are divided into several subspaces, according to the contribution of each auxiliary variable in the principal component space, and the corresponding Gaussian process regression model is built. The subspace model output is fused by means to obtain the first level ensemble output. Finally, the …

Study On Ecological Compensation Of Three Gorges Basin Based On Evolutionary Game Theory, Guangming Yang, Yanjun Shi

Journal of System Simulation

Abstract: Under the background of the green development of the Yangtze River Economic Belt, based on the evolutionary game theory, the game model of the upstream and downstream governments of the Three Gorges Basin and the central ecological compensation behavior are constructed to analyze the interests appeal and compensation behaviors among the three parties, so as to have a complex interest game relationship in the Yangtze River and analyze the cases of ecological compensation in the Three Gorges Basin. The research shows that without the restriction of central government, it is difficult for the upstream and downstream governments in the …

Research On Vibration Characteristics And Parameters Influence Of A Nonlinear Vibration Absorber, Lilan Liu, Bolin Ren, Guodong Zhu

Journal of System Simulation

Abstract: The bistable nonlinear electromagnetic vibration energy harvester (BNEVEH) is used as a vibration absorber to absorb harmful vibration and transfer it into useful electric energy. The mechanical model and governing equation of the main system with BNEVEH are established. The effect of Gauss white noise intensity on large amplitude motion is analyzed by simulations. And the effect law of mass ratio and tuning frequency ratio on the vibration reduction of the main system and power generation of bistable vibration absorber under Gauss white noise excitation is analyzed from the point of vibration reduction and vibration energy harvesting. The optimal …

High-Order Reconstruction Of Maneuvering Decision-Making Process In Close Air Combat, Ya’Nan Kou, Longting Jiang, Wang Dong

Journal of System Simulation

Abstract: Aiming at the reconfiguration of maneuvering decision-making in air combat, an extraction model of key maneuvering decision-making points is constructed. Based on the actual aircraft flight status data, by introducing the concept of jerkiness degree in physics, four indexes of pitching Angle, yaw Angle, roll Angle and speed jerkiness, are selected to construct evaluation index system of key maneuvering decision point. By using the theory of information entropy , the relevant indexes are reduced and the comprehensive evaluation value are obtained. Then maneuvering area is divided according to time domain, the decision points are extracted, and maneuvering decision-making refactoring …

Optimized Linear Adrc Control For A Class Of Fractional-Order Chaotic Systems, Huang Yu, Xie Tian, Wu Rui

Journal of System Simulation

Abstract: Linear active disturbance rejection control has many parameters and it is difficult to obtain appropriate parameters. Therefore, a quantum-behaved particle swarm optimization algorithm based on cosine decreasing function is proposed in this article for searching optimal LADRC parameters. In this algorithm, cosine decreasing function and updated equation of quantum-behaved particle swarm optimization algorithm are combined. By using the variable characteristic of cosine decreasing function with the increase of iteration times, the original global optimization ability of quantum particle swarm optimization is retained and its poor local optimization ability is overcome. And the simulation results show that the LADRC optimized …

Gcps Adaptive Scheduling Model Based On Cooperative Executor, Zhang Jing, Chen Yao, Sun Jun, Hongbo Fan

Journal of System Simulation

Abstract: Aiming at the problem that the uncertainty of grid cyber physical systems leads to chain failure, an adaptive GCPS dispatching model based on co-actuator is established. First, the constraint conditions of the system are analyzed. A model constraints of GCPS system is presented to describe the constraint conditions of the power system, and it is proved that it meets the consistency of the measure and representing methods. Second, the optimal value of approximation error is solved by PILOT, and the framework of CA-SADM is described. Finally, the performance index, output power accuracy and the influence of fault on the …

Simulation Of Axial Vibration Characteristics Of Marine Riser Under Suspension Mode, Chuan Wang, Li Jun, Zhenqiang Xie, Guorong Wang

Journal of System Simulation

Abstract: The mechanical simulation model of vertical vibration of Marine riser under suspension mode has been established based on the basic principle of dynamics theory. In the model, the influence of heave movement and top tensioner is considered. The vibration equation is solved by the finite difference method to obtain the distribution of axial stress and displacement. Besides, the effects of suspension mode, buoyancy block,water depth, wall thickness and LMRP on the vertical vibration of riser are discussed. According to the results, the soft suspension mode is superior to the hard suspension mode. The buoyancy blocks will increase the …

Simulation Of The Resistance Of Superhydrophobic Microchannel In Turbulent Regime, Chunxi Li, Qingze Cui, Xuemin Ye

Journal of System Simulation

Abstract: VOF model and the Realizable k-ε turbulent model are used to simulate the three-dimensional flow field of superhydrophobic microchannels with longitudinal and transverse microstructures in turbulent regime, the effects of structural parameters on the resistance characteristics of superhydrophobic surface are analyzed. The results show that the superhydrophobic microchannels with longitudinal microgrooves exhibit significant reductions in drag; with the increase of the free shear area ratio and the width of the microchannel, the ratio of pressure drop increases, and the average friction factor decreases, as well as the drag reduction effect is highly significant; with the increase of …

Localized Dielectric Loss Heating In Dielectrophoresis Devices, Tae Joon Kwak, Imtiaz Hossen, Rashid Bashir, Woo-Jin Chang, Chung-Hoon Lee

Electrical and Computer Engineering Faculty Research and Publications

Temperature increases during dielectrophoresis (DEP) can affect the response of biological entities, and ignoring the effect can result in misleading analysis. The heating mechanism of a DEP device is typically considered to be the result of Joule heating and is overlooked without an appropriate analysis. Our experiment and analysis indicate that the heating mechanism is due to the dielectric loss (Debye relaxation). A temperature increase between interdigitated electrodes (IDEs) has been measured with an integrated micro temperature sensor between IDEs to be as high as 70 °C at 1.5 MHz with a 30 V_pp applied voltage to our ultra-low …

Founding The Domain Of Ai Forensics, Ibrahim Baggili, Vahid Behzadan

Electrical & Computer Engineering and Computer Science Faculty Publications

With the widespread integration of AI in everyday and critical technologies, it seems inevitable to witness increasing instances of failure in AI systems. In such cases, there arises a need for technical investigations that produce legally acceptable and scientifically indisputable findings and conclusions on the causes of such failures. Inspired by the domain of cyber forensics, this paper introduces the need for the establishment of AI Forensics as a new discipline under AI safety. Furthermore, we propose a taxonomy of the subfields under this discipline, and present a discussion on the foundational challenges that lay ahead of this new research …

Using Machine Learning Classification Methods To Detect The Presence Of Heart Disease, Nestor Pereira

Dissertations

Cardiovascular disease (CVD) is the most common cause of death in Ireland, and probably, worldwide. According to the Health Service Executive (HSE) cardiovascular disease accounting for 36% of all deaths, and one important fact, 22% of premature deaths (under age 65) are from CVD.

Using data from the Heart Disease UCI Data Set (UCI Machine Learning), we use machine learning techniques to detect the presence or absence of heart disease in the patient according to 14 features provide for this dataset. The different results are compared based on accuracy performance, confusion matrix and area under the Receiver Operating Characteristics (ROC) …

Robot Motion Planning In Dynamic Environments, Hao-Tien Lewis Chiang

Computer Science ETDs

Robot motion planning in dynamic environments is critical for many robotic applications, such as self-driving cars, UAVs and service robots operating in changing environments. However, motion planning in dynamic environments is very challenging as this problem has been shown to be NP-Hard and in PSPACE, even in the simplest case. As a result, the lack of safe, efficient planning solutions for real-world robots is one of the biggest obstacles for ubiquitous adoption of robots in everyday life. Specifically, there are four main challenges facing motion planning in dynamic environments: obstacle motion uncertainty, obstacle interaction, complex robot dynamics and noise, and …

Factor Analysis Of Mixed Data (Famd) And Multiple Linear Regression In R, Nestor Pereira

Dissertations

In the previous projects, it has been worked to statistically analysis of the factors to impact the score of the subjects of Mathematics and Portuguese for several groups of the student from secondary school from Portugal.

In this project will be interested in finding a model, hypothetically multiple linear regression, to predict the final score, dependent variable G3, of the student according to some features divide into two groups. One group, analyses the features or predictors which impact in the final score more related to the performance of the students, means variables like study time or past failures. The second …

Hardware Implementation Of Assistive Technology Robot, Joycephine Li

Publications and Research

SuperHERO is an on-going research project in Computer Engineering Technology department which involves upgrading Heathkit Education Robot (HERO) hardware circuits and features by using modern hardware devices and sensors. The current phase of the project will focus on upgrading the motor drive system hardware as well as implementation and testing of features such as mobile robot obstacle detection and other assistive technologies to help people with disabilities. This involves the reattachment of the robot arm after repairing and updating with 3D printing and using modern hardware and software technology. We observed that the robotic arm has rotary and translation movements …

Amodal Instance Segmentation And Multi-Object Tracking With Deep Pixel Embedding, Yanfeng Liu

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

This thesis extends upon the representational output of semantic instance segmentation by explicitly including both visible and occluded parts. A fully convolutional network is trained to produce consistent pixel-level embedding across two layers such that, when clustered, the results convey the full spatial extent and depth ordering of each instance. Results demonstrate that the network can accurately estimate complete masks in the presence of occlusion and outperform leading top-down bounding-box approaches.

The model is further extended to produce consistent pixel-level embeddings across two consecutive image frames from a video to simultaneously perform amodal instance segmentation and multi-object tracking. No post-processing …

Hardware-Entangled Software Execution Using Dynamic Pufs, Wenjie Xiong

Yale Day of Data

Low-end computing devices are becoming increasingly ubiquitous, especially due to the widespread deployment of Internet-of-Things products. There is, however, much concern about sensitive data being processed on these low-end devices which have limited protection mechanisms in place. This paper proposes a Hardware-Entangled Software Protection (HESP) scheme that leverages hardware features to protect software code from malicious modification before or during run-time. It also enables implicit hardware authentication. Thus, the software will execute correctly only on an authorized device and if the timing of the software, e.g., control flow, was not changed through malicious modifications. The proposed ideas are based on …

The Fog Development Kit: A Platform For The Development And Management Of Fog Systems, Colton Powell

Computer Science and Engineering Master's Theses

With the rise of the Internet of Things (IoT), fog computing has emerged to help traditional cloud computing in meeting scalability demands. Fog computing makes it possible to fulfill real-time requirements of applications by bringing more processing, storage, and control power geographically closer to end-devices. How- ever, since fog computing is a relatively new field, there is no standard platform for research and development in a realistic environment, and this dramatically inhibits innovation and development of fog-based applications. In response to these challenges, we propose the Fog Development Kit (FDK). By providing high-level interfaces for allocating computing and networking resources, …

Aluminum/Carbon Composites Materials Fabricated By The Powder Metallurgy Process, Amélie Veillère, Hiroki Kurita, Akira Kawasaki, Yongfeng Lu, Jean-Marc Heintz, Jean-François Silvain

Department of Electrical and Computer Engineering: Faculty Publications

Aluminum matrix composites reinforced with carbon fibers or diamond particles have been fabricated by a powder metallurgy process and characterized for thermal management applications. Al/C composite is a nonreactive system (absence of chemical reaction between the metallic matrix and the ceramic reinforcement) due to the presence of an alumina layer on the surface of the aluminum powder particles. In order to achieve fully dense materials and to enhance the thermo-mechanical properties of the Al/C composite materials, a semi-liquid method has been carried out with the addition of a small amount of Al-Si alloys in the Al matrix. Thermal conductivity and …

Chapman Ambassador Tour Robot, Alexandra Lewandowski, Yanni Parissis, Khiry Carter, Hilary Lee

Student Scholar Symposium Abstracts and Posters

Being a student ambassador improves a student's confidence and leadership skills. With an increasing demand for technology skills, our project will display how the ambassador robot can assist student ambassadors while improving upon their efficiency, by discussing information during college campus tours and familiarizing students with robot applications and their technology. The ambassador robot can support students during tours by answering a question about specific knowledge that may have slipped an ambassador's mind. The robot will also be able to create a group-focused atmosphere that will allow ambassadors to have the opportunity to lean on a dependable teammate for specific …

How Degrees Of Freedom Affects Sense Of Agency, Akima Connelly, Jungsu Pak, Tian Lan, Uri Maoz

Student Scholar Symposium Abstracts and Posters

Can the rubber-hand illusion be extended to a moving robotic arm in different degrees of freedom (DOF), inducing sense of ownership & agency over the arm? We hypothesize that DOF closer to what humans possess will result in a stronger sense of ownership and agency.

Advanced Security Analysis For Emergent Software Platforms, Mohannad Alhanahnah

School of Computing: Dissertations, Theses, and Student Research

Emergent software ecosystems, boomed by the advent of smartphones and the Internet of Things (IoT) platforms, are perpetually sophisticated, deployed into highly dynamic environments, and facilitating interactions across heterogeneous domains. Accordingly, assessing the security thereof is a pressing need, yet requires high levels of scalability and reliability to handle the dynamism involved in such volatile ecosystems.

This dissertation seeks to enhance conventional security detection methods to cope with the emergent features of contemporary software ecosystems. In particular, it analyzes the security of Android and IoT ecosystems by developing rigorous vulnerability detection methods. A critical aspect of this work is the …