Computer Engineering Commons^™

Improved Flower Pollination Algorithm Based Deployment Optimization Of Wireless Sensor Network, Zhendong Wang, Huamao Xie, Zhongdong Hu, Dahai Li, Junling Wang

Journal of System Simulation

Abstract: To optimize the coverage problem of wireless sensor networks (WSNs) Heterogeneous nodes with obstacles in the monitoring area, based on the flower pollination algorithm (FPA), an improved flower pollination algorithm (IFPA) is proposed. IFPA is used to improve the shortcomings of the original algorithm with slow convergence speed and low precision. The nonlinear convergence factor is designed to constrain the original scaling factor, the Tent mapping is used to maintain the diversity of the population in the late iteration, and the greedy crossover strategy is used to assist the poor individuals to search with better individuals. The experiment of …

Research On Agv Simulation System Based On Interactive Control, Juntao Xiong, Zhonghang Li, Guomao Lin, Shengwei Wu, Dongting Lin, Qiafeng Li, Wenchun Xiao

Journal of System Simulation

Abstract: During the process of actual tasks, automated guided vehicle may have will meet some problems, such as incomplete real-time monitoring, off-track, etc. An AGV simulation system based on interactive control is designed. The visual system guides the operation of real AGV, and the simulation system establishes the virtual AGV motion model according to the driving rules of the real AGV. By obtaining and processing the driving data of the real AGV, the operation of the real AGV are simulated in real time .The algorithm of track correction detects the operation status and performs remote synchronous correction when the real …

Simulation Platform For Source-Load Control Of Active Power Based On Modular Architecture, Hu Yang, Wenying Liu, Liping Zhu, Li Xiao, Weizhou Wang

Journal of System Simulation

Abstract: The integrated proportion of wind power is increasing year by year, and the source-load coordinated control of active power can effectively improve the level of wind power consumption. In order to ensure the effective application of the strategy, a simulation platform based on modular architecture is developed for source-load control of active power, including SQL Server database, timing control module of data interaction, calculation module of source-load control strategy, and output display module. The simulation platform solves the automatic control of data interaction timing in the process of source-load control, and visualizes the effect of the source-load control, so …

Path Designing Of Multi-Omnidirectional Wheel Collaborative Sorting Platform, Li Qi, Wang Wei

Journal of System Simulation

Abstract: Aiming at the problems of low efficiency, high labor cost and low flexibility of traditional logistics sorting system, an automatic logistics sorting system is designed. The improved A* algorithm and the artificial potential field method are used to realize the automatic path planning of the system by taking the transportation path as the research object. The A* algorithm is improved by adjusting the weights of actual cost and estimated cost, and the artificial potential field method is improved by adding virtual sub-target points and adjusting adaptive parameters, so as to complete the function of path planning of goods. Simulation …

Performance Evaluation Method For Load Control System Considering “Two Detailed Rules”, Yinsong Wang, Wang Kai

Journal of System Simulation

Abstract: With the promulgation of the "two detailed rules" of regional power grid,the requirements by power system thermal power units are more and more strict, and has greatly affected their economic development. In order to combine the performance evaluation theory of multivariable control system with the engineering practice, the covariance index of multivariable control system is improved, and the assessment method of AGC (Automatic Generation Control) is analyzed and summarized. The improved covariance index of load Control system and the economic index based on the "two detailed rules" are proposed, and the comprehensive evaluation of load Control system is made …

Research On Indoor Emergency Evacuation Simulation Of Multi-Exit Based On Social Force Model, Haixiang Guo, Zeng Yang, Weiming Chen

Journal of System Simulation

Abstract: With the frequent occurrence of emergencies, how to evacuate dense pedestrians safely from indoor space with limited export is the key and difficult point of emergency evacuation research. Taking a university auditorium as an example to simulate through Anylogic, and the degree of consciousness is introduced to comprehensively reflect the safety education, safety training and familiarity of pedestrians and the expected speed of pedestrians in the primary social force model is improved. To solve the problem of uneven utilization of exports in multi-exit indoor, optimization plans including partition guidance and change the structure of exports are proposed. Simulation results …

Intelligent Genetic Algorithm For Workforce Scheduling Considering Service Level In It Maintenance Service, Ruiying Chen, Chengtao Wang, Zhenyuan Liu

Journal of System Simulation

Abstract: Aiming at resolving the faults quickly and effectively with limited human resource,an IT maintenance service model with the consideration of service level is proposed, A knowledge model is proposed,a variety of mutation operators and crossover operators are designed. and the improved genetic algorithm (IGA), the intelligent genetic algorithm based on knowledge model (KIGA) and the adaptive intelligent genetic algorithm based on knowledge model (KAIGA) are formed. The results show that the adaptive mutation and crossover probability can accelerate the convergence speed of the solution, and the knowledge model can also improve the optimization effect of the solution

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 …

Low-Cost Hardware-In-The-Loop (Hil) Simulator For Simulation And Analysis Of Embedded Systems With Non-Real-Time Applications, Chanuka S. Elvitigala

LSU Master's Theses

Hardware-In-the-Loop (HIL) simulation is an approach that is used for embedded systems testing which was popular in the early days of embedded systems. This technology was wrapped and was stored away for a long time. One of the main reasons is that the less use of embedded systems in society. Recent developments in embedded systems, data science, and control systems lead to a focus on testing these systems. The earliest method of testing these systems was by doing destructive testing which is a waste of money, resources, and time. The HIL provided a safe and economical way of testing the …

On-Device Deep Learning Inference For System-On-Chip (Soc) Architectures, Tom Springer, Elia Eiroa-Lledo, Elizabeth Stevens, Erik Linstead

Engineering Faculty Articles and Research

As machine learning becomes ubiquitous, the need to deploy models on real-time, embedded systems will become increasingly critical. This is especially true for deep learning solutions, whose large models pose interesting challenges for target architectures at the “edge” that are resource-constrained. The realization of machine learning, and deep learning, is being driven by the availability of specialized hardware, such as system-on-chip solutions, which provide some alleviation of constraints. Equally important, however, are the operating systems that run on this hardware, and specifically the ability to leverage commercial real-time operating systems which, unlike general purpose operating systems such as Linux, can …

Incomplete Images, Or Where Does The Art Happen?, Rebecca Uliasz

Journal of Network Music and Arts

No abstract provided.

Sync Variations: For Sixteen Isolated Electric Violin Players And A Programmed Network System, Elad Shniderman

Journal of Network Music and Arts

Sync Variations is a collaboration between the composer and sound artist Elad Shniderman, the physicist Moti Fridman, and his colleagues Nir Davidson and Shir Shahal. An article on the scientific research aspect of this project was published in Nature Communications². This article focuses on the musical performance and score.

The project is the product of a unique interaction between musicians through a custom-programmed network system. This system simulates the network environment of the internet in many ways. However, the piece has not yet been performed over the internet, which naturally will be the next step in this project. …

On Composing 5,000 Miles, Joe Sferra

Journal of Network Music and Arts

This article is my account of composing my first piece for telematic performance, a quartet called 5,000 Miles. The piece was commissioned by the ACCAD Sonic Arts Ensemble, directed by Marc Ainger, Ann Stimson, and Federico Cámara Halac. I performed the piece with the ensemble on two performances in November 2020: a performance for the NowNetArts Conference, and a second performance titled “Into the Multiverse” for the Wexner Center for the Arts at Ohio State University. I outline how I approached writing a specifically telematic piece, then present an analysis.

Live Electronics, Audiovisual Compositions, And Telematic Performance: Collaborations During The Pandemic, Danilo Rossetti, Cássia Carrascoza Bomfim

Journal of Network Music and Arts

We present a report of the experience of our remote musical collaboration during the Covid-19 pandemic regarding live electronic, audiovisual compositions, and telematic performance in the context of the project Sound Notebooks. We discuss the problems found and the solutions adopted in the performances, as well as the hypotheses of musical research raised by the remote environment. We argue that the variety of expressive modes, sonic modalities, and video possibilities in the Sound Notebooks repertoire we presented contributes to the construction of an aesthetics for remote performance. We additionally address practical and conceptual questions involving the composition, performance, and technical …

Electo Electro 2020, An Interactive Voting Booth Installation, Mike Richison

Journal of Network Music and Arts

Electo Electro 2020 was a project that was created specifically for the 2020 presidential election cycle. This paper is a follow-up to an article published in 2019 for the Journal of Network Music and Arts, “Voting Booths and Interactive Art Installations: The Diebold AccuVote-TS in Context.” In that paper, I discussed the original concept and goals for the project, several examples of work from other artists, and an earlier project from 2016 that served as the impetus for Electo Electro. This paper will discuss the outcomes and iterations of the project, specifically how it was adapted to an online …

Editorial, Sarah Weaver

Journal of Network Music and Arts

No abstract provided.

Multi-Step-Ahead Exchange Rate Forecasting For South Asian Countries Using Multi-Verse Optimized Multiplicative Functional Link Neural Networks, Kishore Kumar Sahu, Sarat Chandra Nayak, Himansu Sekhar Behera

Karbala International Journal of Modern Science

The dynamic nonlinearity approach, coupled with the exchange rate data series, makes its future predictions difficult. Sophisticated methods are highly desired for effective prediction of such data. Artificial neural networks (ANNs) have shown their ability to model and predict such data. This article presents a multi-verse optimizer (MVO) based multiplicative functional link neural network (MV-MFLN) model to forecast the exchange rate data. Functional link neural network (FLN) makes use of functional expansion for input data with a fewer number of adjustable neuron weights, which makes it capable of learning the uncertainties accompanying the exchange rate data. In contrast to the …

Recent Advances In Terahertz Photonic Technologies Based On Graphene And Their Applications, Tianjing Guo, Christos Argyropoulos

Department of Electrical and Computer Engineering: Faculty Publications

Graphene is a unique 2D material that has been extensively investigated due to its extraordinary photonic, electronic, thermal, and mechanical properties. Excited plasmons along its surface and other unique features are expected to play an important role in many emerging photonic technologies with drastically improved and tunable functionalities. This review is focused on presenting several recently introduced photonic phenomena based on graphene, beyond its usual linear response, such as nonlinear, active, topological, and nonreciprocal effects. The physical mechanisms and various envisioned photonic applications corresponding to these novel intriguing functionalities are also reported. The presented graphene-based technologies promise to revolutionize the …

Predicting Vasovagal Responses: A Model-Based And Machine Learning Approach, Theodore Raphan, Sergei B. Yakushi

Publications and Research

Vasovagal syncope (VVS) or neurogenically induced fainting has resulted in falls, fractures, and death. Methods to deal with VVS are to use implanted pacemakers or beta blockers. These are often ineffective because the underlying changes in the cardiovascular system that lead to the syncope are incompletely understood and diagnosis of frequent occurrences of VVS is still based on history and a tilt test, in which subjects are passively tilted from a supine position to 20◦ from the spatial vertical (to a 70◦ position) on the tilt table and maintained in that orientation for 10–15 min. Recently, is has been shown …

On The Impact Of Gravity Compensation On Reinforcement Learning In Goal-Reaching Tasks For Robotic Manipulators, Jonathan Fugal, Hasan A. Poonawala, Jihye Bae

Electrical and Computer Engineering Faculty Publications

Advances in machine learning technologies in recent years have facilitated developments in autonomous robotic systems. Designing these autonomous systems typically requires manually specified models of the robotic system and world when using classical control-based strategies, or time consuming and computationally expensive data-driven training when using learning-based strategies. Combination of classical control and learning-based strategies may mitigate both requirements. However, the performance of the combined control system is not obvious given that there are two separate controllers. This paper focuses on one such combination, which uses gravity-compensation together with reinforcement learning (RL). We present a study of the effects of gravity …

Detection Of Myocardial Infarction Using Ecg And Multi-Scale Feature Concatenate, Jia-Zheng Jian, Tzong-Rong Ger, Han-Hua Lai, Chi-Ming Ku, Chiung-An Chen, Patricia Angela R. Abu

Department of Information Systems & Computer Science Faculty Publications

Diverse computer-aided diagnosis systems based on convolutional neural networks were applied to automate the detection of myocardial infarction (MI) found in electrocardiogram (ECG) for early diagnosis and prevention. However; issues; particularly overfitting and underfitting; were not being taken into account. In other words; it is unclear whether the network structure is too simple or complex. Toward this end; the proposed models were developed by starting with the simplest structure: a multi-lead features-concatenate narrow network (N-Net) in which only two convolutional layers were included in each lead branch. Additionally; multi-scale features-concatenate networks (MSN-Net) were also implemented where larger features were being …

Kegg2net: Deducing Gene Interaction Networks And Acyclic Graphs From Kegg Pathways, Sree K. Chanumolu, Mustafa Albahrani, Handan Can, Hasan H. Otu

Department of Electrical and Computer Engineering: Faculty Publications

The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database provides a manual curation of biological pathways that involve genes (or gene products), metabolites, chemical compounds, maps, and other entries. However, most applications and datasets involved in omics are gene or protein-centric requiring pathway representations that include direct and indirect interactions only between genes. Furthermore, special methodologies, such as Bayesian networks, require acyclic representations of graphs. We developed KEGG2Net, a web resource that generates a network involving only the genes represented on a KEGG pathway with all of the direct and indirect gene-gene interactions deduced from the pathway. KEGG2Net offers …

Analysis Of Recent Trends In Malware Attacks On Android Phone: A Survey Using Scopus Database, Sonali Kothari Tidke, Vijayshri Khedkar

Library Philosophy and Practice (e-journal)

In past few years, smartphone use has shifted from professional access to personal need. Smartphone has now become an essential requirement to perform day to day activities. This has made smartphones unsecured and vulnerable to cyber threats and malware attacks. This study is also focused on finding intersection between malware attacks and Android OS considering Android as the most widely used mobile OS. A comprehensive search is conducted on Scopus Database for peer-reviewed articles. The study is carried out on bibliometric data of the considered articles to generate a highly useful concept map.

Review And Analysis Of Failure Detection And Prevention Techniques In It Infrastructure Monitoring, Deepali Arun Bhanage, Ambika Vishal Pawar, K Kotecha

Library Philosophy and Practice (e-journal)

Maintaining the health of IT infrastructure components for improved reliability and availability is a research and innovation topic for many years. Identification and handling of failures are crucial and challenging due to the complexity of IT infrastructure. System logs are the primary source of information to diagnose and fix failures.

In this work, we address three essential research dimensions about failures, such as the need for failure handling in IT infrastructure, understanding the contribution of system-generated log in failure detection and reactive & proactive approaches used to deal with failure situations.

This study performs a comprehensive analysis of existing literature …

A Bibliometric Analysis Of Authentication Based Access Control In Cloud Using Blockchain, Yogesh Gajmal, Udayakumar R.

Library Philosophy and Practice (e-journal)

Access Control is mentioned to as the imprisonment of particular activities of an individual to carry out an action. Cloud storing similar to any other untrusted surroundings wants the capacity to protect the shared data. The one of the apparatus of access mechanism is ciphertext-policy attribute-based encryption system over and done with dynamic characteristics. With a blockchain based distributed ledger, the scheme offers immutable log of whole significant safety events, for example key generation, change or revocation, access policy assignment, access request etc. Number of different problems similar to single point of failure, security and privacy etc. were targeted through …

Towards A Blockchain Assisted Patient Owned System For Electronic Health Records, Tomilayo Fatokun, Avishek Nag, Sachin Sharma

Articles

Security and privacy of patients’ data is a major concern in the healthcare industry. In this paper, we propose a system that activates robust security and privacy of patients’ medical records as well as enables interoperability and data exchange between the different healthcare providers. The work proposes the shift from patient’s electronic health records being managed and controlled by the healthcare industry to a patient-centric application where patients are in control of their data. The aim of this research is to build an Electronic Healthcare Record (EHR) system that is layered on the Ethereum blockchain platform and smart contract in …

Pomegranate: Procedural 3d Tree Creation Via User-Defined L-Systems, Jeremy Berchtold

Computer Science and Software Engineering

Pomegranate creates procedural 3D trees based on a user-specified template. The template supports randomness and allows users to generate an entire forest of unique trees from a single template. The output trees are a single closed mesh without intersecting geometry (with the exception of leaves). Additionally, the output contains a skeletal rig used for animating the trees. Pomegranate produces textured trees that can use either a realistic or stylized look, as well as supporting different mesh densities for games or film. Since this project uses a procedural workflow, artists can quickly create and make edits to their trees. This increase …

Color-Compressive Bilateral Filter And Nonlocal Means For High-Dimensional Images, Christina Karam, Kenjiro Sugimoto, Keigo Hirakawa

Electrical and Computer Engineering Faculty Publications

We propose accelerated implementations of bilateral filter (BF) and nonlocal means (NLM) called color-compressive bilateral filter (CCBF) and color-compressive nonlocal means (CCNLM). CCBF and CCNLM are random filters, whose Monte-Carlo averaged output images are identical to the output images of conventional BF and NLM, respectively. However, CCBF and CCNLM are considerably faster because the spatial processing of multiple color channels are combined into a single random filtering process. This implies that the complexity of CCBF and CCNLM is less sensitive to color dimension (e.g., hyperspectral images) relatively to other BF and NLM methods. We experimentally verified that the execution time …

Deep Learning For Anisoplanatic Optical Turbulence Mitigation In Long-Range Imaging, Matthew A. Hoffmire, Russell C. Hardie, Michael A. Rucci, Richard Van Hook, Barry K. Karch

Electrical and Computer Engineering Faculty Publications

We present a deep learning approach for restoring images degraded by atmospheric optical turbulence. We consider the case of terrestrial imaging over long ranges with a wide field-of-view. This produces an anisoplanatic imaging scenario where turbulence warping and blurring vary spatially across the image. The proposed turbulence mitigation (TM) method assumes that a sequence of short-exposure images is acquired. A block matching (BM) registration algorithm is applied to the observed frames for dewarping, and the resulting images are averaged. A convolutional neural network (CNN) is then employed to perform spatially adaptive restoration. We refer to the proposed TM algorithm as …

Simulating A Mobile Wireless Sensor Network Monitoring The Air Force Marathon, Matthew D. Eilertson

Theses and Dissertations

This thesis explores the feasibility of deploying a mobile Wireless Sensor Networks (WSN) to the Air Force (AF) Marathon in support of Air Force Research Laboratory (AFRL) research of sensor and networking infrastructure in denied or degraded environments. A simulation called MarathonSim is developed in the Objective Modular Network Testbed in C++ (OMNeT++) Discrete Event Simulator to test the performance of a mobile WSN. A full factorial design using numbers of runners, transmission powers, and routing protocols is executed to measure Packet Delivery Ratio (PDR) to a central database, average end-to-end delay of application packets, and average power consumed per …