Computer Engineering Commons^™

Chemical Cluster Cooperative Patrolling Strategy Based On Game Theory, Feiran Chen, Bin Chen, Zhengqiu Zhu, Xiaogang Qiu, Yiduo Wang, Zhao Yong

Journal of System Simulation

Abstract: Industrial production activities in the chemical cluster pose great threats to the surrounding atmospheric environment and human health. It is necessary for the management team to strictly supervise the chemical production processes and monitor the gas emissions to ensure the air quality. One of the effective means is to patrol chemical plants in the chemical cluster. The cooperative patrolling strategy of multiple patrol vehicles based on game theory is studied. A greedy deployment algorithm to determine the initial deployment of patrol vehicles is proposed. The static partition cooperation method is used to partition the chemical cluster into multiple small …

Research On Network Attack And Defense Situation Based On Game Theory Model And Netlogo Simulation, Xiaohu Liu, Hengwei Zhang, Yuchen Zhang, Ma Zhuang, Wenlei Lü

Journal of System Simulation

Abstract: Aiming at the problem that the existing modeling methods lack of the analysis on the behavior and trend of attack and defense game, the characteristics of network attack and defense game from the perspective of confrontation are analyzed Based on the static game theory of non- cooperative incomplete information, the network attack and defense game model is established, and the revenue quantification, game equilibrium calculation and decision-making of strategic confrontation result are given. The multi-agent simulation model of network attack and defense game is constructed. The simulation experiments under different strategy combinations and different initial numbers of players are …

Chaos Control Of Permanent Magnet Synchronous Motor Based On Finite Time Lasalle Invariant Set, Zhang Yun, Wang Cong, Hongli Zhang, Ma Ping

Journal of System Simulation

Abstract: In order to effectively restrain the chaotic behavior of permanent magnet synchronous motor, an adaptive controller is designed based on finite time theory and LaSalle invariant set theorem. The chaotic dynamics characteristics of the permanent magnet synchronous motor system are analyzed, and the parameter fields of the system in different motion states are determined. It is proved theoretically that the controller can stabilize to the equilibrium point in finite time and can automatically track the equilibrium point of the system. Simulation results show that the control scheme is concise, faster and more stable. The research results are of great …

Simulation On Spatial-Temporal Dynamic Change Of Ocean Environment In Marine Simulators, Qianfeng Jing, Helong Shen, Zhengli Gao, Yin Yong

Journal of System Simulation

Abstract: Marine structures are subject to environmental interference all the time, and the simulation of the ocean environment significantly affects the realism of the marine simulators. The ocean environmental fields are generated by the numerical wave model, and the real ocean databases are developed based on SQLite. The actual wind, current, and wave information are obtained from the databases to keep consistency with the actual sea. The environmental disturbances are modeled and both the spatiotemporal-varying features and the coupling effects are brought into the simulation. The real voyage cases are reproduced by the proposed simulation method. The measured data …

Prediction Of N-Acetylglucosamine Content Based On Rf-Ga-Bp Neural Network, Wenfeng Yang, Wang Yan, Zhichen Ji

Journal of System Simulation

Abstract: In order to solve the problem that the content of N-acetylglucosamine (GlcNAc) in the process of preparing glucocosamine (GlcN) by microbial fermentation is difficult to measure online, an improved prediction algorithm based on stochastic forest algorithm, genetic algorithm and neural network algorithm is proposed. The algorithm utilizes the feature of decreasing average impurity in random forest algorithm to analyze the relevance of the input characteristics. The initial weights and thresholds of the neural networks are optimized by the genetic algorithm. A prediction model based on the RF-GA-BP algorithm is established based on the data from the fermentation process of …

A Photovoltaic Power Forecasting Method Based On Da-Rkelm Algorithm, Mingqi Wei, Tianrui Zhang, Xiuxiu Gao, Shumei Wang

Journal of System Simulation

Abstract: Aiming at the power grid safety problems caused by the fluctuation and randomness of photo-voltaic power generation, a method for predicting photo-voltaic power generation of a regular nuclear limit learning machine based on the optimization of a dragonfly algorithm was proposed. Through correlation analysis, the key factors affecting the photo-voltaic power generation are determined, and the photo-voltaic power prediction model is constructed. Dragonfly algorithm is used to obtain the optimal weight and threshold value of the network, and regularization function and kernel function are introduced based on the standard limit learning machine to avoid the over …

Research On Simulation Optimization Of Intelligent Storage Robot Configuration Under Multiple Constraints, Guo Di, Danlan Xie, Ji Yuan

Journal of System Simulation

Abstract: Aiming at the intelligent warehouse storage robot configuration, a discrete event simulation model based on queuing theory is constructed. Considering the influence of faults and the reliability and service intensity of the system, aiming at minimizing the total cost of distance cost, time cost, idle cost and purchase cost, a based on FlexSim simulation model is proposed. Discrete event simulation optimization method of the platform. By analyzing the system average team length, order average stay time and other indicators, the intuitionistic bottleneck of the system is combined with the actual operation data, and the configuration strategy of minimum system …

Optimization And Simulation Of Offshore Edge Computing Network For E-Pilotage, Bin Lin, Chenchen Song, Yajing Zhang, Jianli Duan

Journal of System Simulation

Abstract: In order to improve the safety of the ship's piloting process, an INA-based offshore edge computing network (IOECN) architecture is proposed to provide navigation assistance information. The Layout Optimization Problem (LOP) of network element nodes in the network is mainly studied. The mathematical model is used to convert the LOP into an Integer Linear Programming (ILP) problem. On condition of the required network coverage and connectivity, aiming to minimize the network cost, being solved by Gurobi and simulated and demonstrated by Matlab, the network optimization on different scales is obtained and the correctness and scalability of …

Dbknot: A Transparent And Seamless, Pluggable Tamper Evident Database, Islam Khalil

Theses and Dissertations

Database integrity is crucial to organizations that rely on databases of important data. They suffer from the vulnerability to internal fraud. Database tampering by internal malicious employees with high technical authorization to their infrastructure or even compromised by externals is one of the important attack vectors.

This thesis addresses such challenge in a class of problems where data is appended only and is immutable. Examples of operations where data does not change is a) financial institutions (banks, accounting systems, stock market, etc., b) registries and notary systems where important data is kept but is never subject to change, and c) …

A Bibliometric Analysis Of Face Anti Spoofing, Swapnil Ramesh Shinde, Shraddha Phansalkar, Sudeep D. Thepade

Library Philosophy and Practice (e-journal)

Face Recognition Systems are used widely in all areas as a medium of authentication, the ease of implementation and accuracy provides it with a broader scope. The face recognition systems are vulnerable to some extent and are attacked by performing different types of attacks using a variety of techniques. The term used to describe the measures taken to prevent these types of attacks is known as face anti spoofing. Research has been carried on since decades to design systems that are robust against these attacks. The focus of the work in this paper is to explore the area of face …

A User Study Of A Wearable System To Enhance Bystanders’ Facial Privacy, Alfredo J. Perez, Sherali Zeadally, Scott Griffith, Luis Y. Matos Garcia, Jaouad A. Mouloud

Information Science Faculty Publications

The privacy of users and information are becoming increasingly important with the growth and pervasive use of mobile devices such as wearables, mobile phones, drones, and Internet of Things (IoT) devices. Today many of these mobile devices are equipped with cameras which enable users to take pictures and record videos anytime they need to do so. In many such cases, bystanders’ privacy is not a concern, and as a result, audio and video of bystanders are often captured without their consent. We present results from a user study in which 21 participants were asked to use a wearable system called …

A Bibliometric Analysis Of Online Extremism Detection, Mayur Gaikwad, Swati Ahirrao, Shraddha Pankaj Phansalkar, Ketan Kotecha

Library Philosophy and Practice (e-journal)

The Internet has become an essential part of modern communication. People are sharing ideas, thoughts, and beliefs easily, using social media. This sharing of ideas has raised a big problem like the spread of the radicalized extremist ideas. The various extremist organizations use the social media as a propaganda tool. The extremist organizations actively radicalize and recruit youths by sharing inciting material on social media. Extremist organizations use social media to influence people to carry out lone-wolf attacks. Social media platforms employ various strategies to identify and remove the extremist content. But due to the sheer amount of data and …

A Bibliometric Survey On The Reliable Software Delivery Using Predictive Analysis, Jalaj Pachouly, Swati Ahirrao, Ketan Kotecha

Library Philosophy and Practice (e-journal)

Delivering a reliable software product is a fairly complex process, which involves proper coordination from the various teams in planning, execution, and testing for delivering software. Most of the development time and the software budget's cost is getting spent finding and fixing bugs. Rework and side effect costs are mostly not visible in the planned estimates, caused by inherent bugs in the modified code, which impact the software delivery timeline and increase the cost. Artificial intelligence advancements can predict the probable defects with classification based on the software code changes, helping the software development team make rational decisions. Optimizing the …

A Bibliometric Survey On Cognitive Document Processing, Dipali Baviskar, Swati Ahirrao, Ketan Kotecha

Library Philosophy and Practice (e-journal)

Heterogenous and voluminous unstructured data is produced from various sources like emails, social media tweets, reviews, videos, audio, images, PDFs, scanned documents, etc. Organizations need to store this wide range of unstructured data for more and longer periods so that they can examine information all the more profoundly to make a better decision and extracting useful insights. Manual processing of such unstructured data is always a challenging, time-consuming, and expensive task for any organization. Automating unstructured document processing using Optical Character Recognition (OCR) and Robotics Process Automation (RPA), seems to have limitations, as those techniques are driven by rules or …

The Influence Of Information Technology Governance Audit Using Cobit 5 For The Development Public Library : (Case Study : Public Library In East Java ), Ilham M, Anis Eliyana, Indrianawati Usman

Library Philosophy and Practice (e-journal)

This study current technological developments have entered almost into the lines of people's lives. Currently, many public library have grown even bigger. And this development does not escape the good management of information technology governance. To maximize management to a better level, public library need information technology governance audits. The information technology audit used in this study uses the COBIT 5 framework which focuses on the APO04 and DSS01 domains. This study aims to improve the quality of services owned and to increase its competitiveness. The results of this study refer to the vision and mission of the public library …

Analysis Effect Of Audit Information Technology : Green Technology, Smart System And Innovation Behavior Working For Improving Business Services University In Indonesia, Merlin Apriliyanti, Ilham M, Tanti Handriana, Indrianawati Usman

Library Philosophy and Practice (e-journal)

This study was conducted to determine the effectiveness and efficiency of the use of technology and integrated information systems and recommend the development of new systems at PTKIN (UIN Sunan Ampel Surabaya and UIN Maulana Malik Ibrahim Malang). The study of information technology management in tertiary institutions aims to measure the extent to which the application of information technology is able to support the activities of the Tri Dharma College in order to achieve world class universities. In measuring the results of the audit of information technology management the tertiary institution will conduct evaluation, monitoring and further development of information …

A Novel Energy-Efficient Sensor Cloud Model Using Data Prediction And Forecasting Techniques, Kalyan Das, Satyabrata Das, Aurobindo Mohapatra

Karbala International Journal of Modern Science

An energy-efficient sensor cloud model is proposed based on the combination of prediction and forecasting methods. The prediction using Artificial Neural Network (ANN) with single activation function and forecasting using Autoregressive Integrated Moving Average (ARIMA) models use to reduce the communication of data. The requests of the users generate in every second. These requests must be transferred to the wireless sensor network (WSN) through the cloud system in the traditional model, which consumes extra energy. In our approach, instead of one second, the sensors generally communicate with the cloud every 24 hours, and most of the requests reply using the …

Supply Chain Analysis To Determine E-Commerce Distribution Center Locations, Fatima Chebchoub

Masters Theses & Specialist Projects

Supply chain management is the key success for each business. Having a robust supply chain will help the business to improve service, quality, reduce the costs, improve the speed, and be more flexible. Organizations need to look at data and deploy plans to move the product from operation to logistics to manage a global chain. In this paper we will use E-Comm shipment data to identify the best locations to build a new distribution center (DC).

A Mathematical Framework For Estimating Risk Of Airborne Transmission Of Covid-19 With Application To Face Mask Use And Social Distancing, Rajat Mittal, Charles Meneveau, Wen Wu

Faculty and Student Publications

© 2020 Author(s). A mathematical model for estimating the risk of airborne transmission of a respiratory infection such as COVID-19 is presented. The model employs basic concepts from fluid dynamics and incorporates the known scope of factors involved in the airborne transmission of such diseases. Simplicity in the mathematical form of the model is by design so that it can serve not only as a common basis for scientific inquiry across disciplinary boundaries but it can also be understandable by a broad audience outside science and academia. The caveats and limitations of the model are discussed in detail. The model …

Applying The Principle Of Least Privilege To System Management Interrupt Handlers With The Intel Smi Transfer Monitor, Brian Delgado, Tejaswini Vibhute, Karen L. Karavanic

Computer Science Faculty Publications and Presentations

Recent years have seen a growing concern over System Management Mode (SMM) and its broad access to platform resources. The SMI Transfer Monitor (STM) is Intel’s most powerful executing CPU context. The STM is a firmware-based hypervisor that applies the principle of least privilege to powerful System Management Interrupt (SMI) handlers that control runtime firmware. These handlers have traditionally had full access to memory as well as the register state of applications and kernel code even when their functionality did not require it. The STM has been been enabled for UEFI and, most recently, coreboot firmware, adding protection against runtime …

Analysis Of Cloud Bursting On Openstack Infrastructure To Aws, Bao Pham, Ronald C. Jones, Majid Shaalan

Other Student Works

Cloud computing is the development of distributed and parallel computing that seeks to provide a new model of business computing by automating services and efficiently storing proprietary data. Cloud bursting is one of the cloud computing techniques that adopts the hybrid cloud model which seeks to expand the resources of a private cloud through the integration with a public cloud infrastructure. In this paper, the viability of cloud bursting is experimented and an attempt to integrate AWS EC2 onto an Openstack cloud environment using the Openstack OMNI driver is conducted.

Enginews, Fall 2020, School Of Computer Science & Engineering

News, Magazines and Reports

In this issue:

COVID Adjustments • Summer Internship + COVID study with Gabriel Bitencourt • IDEA Lab News with Chelsea Coelho • Recent Publications and Press Releases • Student Quotes.

Poland’S Challenge To Eu Directive 2019/790: Standing Up To The Destruction Of European Freedom Of Expression, Michaela Cloutier

Dickinson Law Review (2017-Present)

In 2019, the European Parliament and Council passed Directive 2019/790. The Directive’s passage marked the end of a fouryear- long legislative attempt to impose more liability for copyright violations on Online Service Providers, an effort which was controversial from the start. Online Service Providers fear that the 2019 Directive, especially its Article 17, will completely change the structure of liability on the Internet, forcing providers to adopt expensive content filtering systems. Free speech advocates fear that ineffective filtering technology will infringe upon Internet users’ rights to express themselves, and legal scholars have pointed out the Directive’s inconsistency with prior European …

Predicting General Aviation Accidents Using Machine Learning Algorithms, Bradley S. Baugh

Doctoral Dissertations and Master's Theses

No abstract provided.

A Novel Framework Using Neutrosophy For Integrated Speech And Text Sentiment Analysis, Florentin Smarandache, Kritika Mishra, Ilanthenral Kandasamy, Vasantha Kandasamy W.B.

Branch Mathematics and Statistics Faculty and Staff Publications

With increasing data on the Internet, it is becoming difficult to analyze every bit and make sure it can be used efficiently for all the businesses. One useful technique using Natural Language Processing (NLP) is sentiment analysis. Various algorithms can be used to classify textual data based on various scales ranging from just positive-negative, positive-neutral-negative to a wide spectrum of emotions. While a lot of work has been done on text, only a lesser amount of research has been done on audio datasets. An audio file contains more features that can be extracted from its amplitude and frequency than a …

Peer-Inspired Student Performance Prediction In Interactive Online Question Pools With Graph Neural Network, Haotian Li, Huan Wei, Yong Wang, Yangqiu Song, Huamin. Qu

Research Collection School Of Computing and Information Systems

Student performance prediction is critical to online education. It can benefit many downstream tasks on online learning platforms, such as estimating dropout rates, facilitating strategic intervention, and enabling adaptive online learning. Interactive online question pools provide students with interesting interactive questions to practice their knowledge in online education. However, little research has been done on student performance prediction in interactive online question pools. Existing work on student performance prediction targets at online learning platforms with predefined course curriculum and accurate knowledge labels like MOOC platforms, but they are not able to fully model knowledge evolution of students in interactive online …

Camera Placement Meeting Restrictions Of Computer Vision, Sara Aghajanzadeh, Roopasree Naidu, Shuo-Han Chen, Caleb Tung, Abhinav Goel, Yung-Hsiang Lu, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

In the blooming era of smart edge devices, surveillance cam- eras have been deployed in many locations. Surveillance cam- eras are most useful when they are spaced out to maximize coverage of an area. However, deciding where to place cam- eras is an NP-hard problem and researchers have proposed heuristic solutions. Existing work does not consider a signifi- cant restriction of computer vision: in order to track a moving object, the object must occupy enough pixels. The number of pixels depends on many factors (how far away is the object? What is the camera resolution? What is the focal length?). …

From Inductive To Deductive Learning, Mikhail Mayers, Brian Henson

Maseeh Summer Undergraduate Research Experience

Using Machine Vision as a way to give information to Prolog. Using Prolog to solve deductive problems and analogical problems without having to manually enter all facts and information.

The Influence Of Marking Methods On Mobility, Survivorship, And Field Recovery Of Halyomorpha Halys (Hemiptera: Pentatomidae) Adults And Nymphs, Danielle M. Kirkpatrick, Kevin B. Rice, Aya Ibrahim, Shelby J. Fleischer, John F. Tooker, Amy Tabb, Henry Medeiros, William R. Morrison Iii, Tracy C. Leskey

Electrical and Computer Engineering Faculty Research and Publications

Halyomorpha halys (Stål), the brown marmorated stink bug, is an invasive and highly polyphagous insect that has caused serious economic injury to specialty and row crops in the United States and Europe. Here, we evaluated the effects of marking adult and nymphal H. halys with four different colors of fluorescent powder (Blaze Orange, Corona Pink, Horizon Blue, and Signal Green) on mobility and survivorship in laboratory bioassays. Adults and nymphs were marked using liquified fluorescent powder solutions and allowed to dry prior to bioassay. The presence of the marking solution had no significant effects on adult or nymphal mobility, adult …

Memory Foreshadow: Memory Forensics Of Hardware Cryptocurrency Wallets – A Tool And Visualization Framework, Tyler Thomas, Mathew Piscitelli, Ilya Shavrov, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

We present Memory FORESHADOW: Memory FOREnSics of HArDware cryptOcurrency Wallets. To the best of our knowledge, this is the primary account of cryptocurrency hardware wallet client memory forensics. Our exploratory analysis revealed forensically relevant data in memory including transaction history, extended public keys, passphrases, and unique device identifiers. Data extracted with FORESHADOW can be used to associate a hardware wallet with a computer and allow an observer to deanonymize all past and future transactions due to hierarchical deterministic wallet address derivation. Additionally, our novel visualization framework enabled us to measure both the persistence and integrity of artifacts produced by the …