Computer Engineering Commons^™

Analyzing And Assisting Patient Decision-Making In Online Health Communities, Mingda Li

Dissertations

In recent years, many users have joined online health communities (OHC) to seek information, suggestions and social support. However, little has been studied about the roles of OHCs in patients' decision-making processes. The aim of this research is to analyze OHC data to better understand patient decision-making processes, and to provide assistance to OHC users in their decision-making.

In order to analyze or assist patients in their decision-making, a novel classification model is designed to identify discussion threads in OHC that are related to decision making. This is achieved by building a two-step combined deep learning model. Empirical evaluation shows …

Cyber Social Threats 2020 Workshop Meta-Report: Covid-19, Challenges, Methodological And Ethical Considerations, Ugur Kursuncu, Yelena Mejova, Jeremy Blackburn, Amit Sheth

Publications

Online platforms have been increasingly misused by ill-intentioned actors, affecting our society, often leading to real-world events of social significance. On the other hand, recog-nizing the narratives related to harmful behaviors is challeng-ing due to its complex and sensitive nature. The Cyber SocialThreats Workshop 2020 aimed to stimulate research for thechallenges on methodological and ethical considerations indeveloping novel approaches to analyze online harmful con-versations, concerning social, cultural, emotional, commu-nicative, and linguistic aspects. It provided a forum to bringtogether researchers and practitioners from both academiaand industry in the areas of computational social sciences, so-cial network analysis and mining, natural language process-ing, …

Numerical Study Of Paraffin Wax Melting In A Cavity With A Gradient Of Hot Wall Inclination, Agus Dwi Korawan

Makara Journal of Technology

The melting of a phase change material (PCM) in a cavity with a gradient of hot wall inclination was simulated numerically using five models, namely, Model-A, Model-B, Model-C, Model-D, and Model-E with gradients of −2, −4, ∞, 4, and 2, respectively. The PCM was paraffin wax, which was melted using an enthalpy porosity technique with a pressure-based method. Model-A was found to be the best model. For the completion of the melting process, the models were assigned with the liquid fraction of 1. Model-A required the shortest time, followed by Model-B, Model-C, Model-E, and Model-D, respectively. Compared with Model-C, Model-A …

Synchrony: Music Of Sarah Weaver And Collaborations (2006–2019), Sarah Weaver

Journal of Network Music and Arts

Synchrony is a prominent lens in works by composer Sarah Weaver and collaborations from the years 2006 to 2019 for solo, chamber, large ensemble, and network music pieces. “Synchrony,” defined as perceptual alignment of distributed time and space components, has a practical motivation for transcending both latency and technology mediation in the network music medium. Synchrony also functions as a deep realm of artistic expression for both network and localized music. This essay outlines the technological context of performances, artistic strategies for synchrony, examples from the pieces, and new directions for the work going forward.

Low-Latency Networked Music Collaborations: Does “Good Enough” Do Enough Good?, Gareth Dylan Smith, Zack Moir, Paul Ferguson, Gill Davies

Journal of Network Music and Arts

LoLa is a cutting-edge technology that enables low latency, real-time collaborations across vast distances using high-bandwidth, low-jitter networks. It has the capacity to transform how music is made and experienced. It has been utilized on a relatively small scale to date, primarily for teaching and performances associated with music colleges and concert halls. In this article we discuss various ways in which LoLa technology is “good enough” by describing examples of recent networked music performances “anchored” at Edinburgh Napier University, Scotland. We discuss the ways in which processes and outcomes were “good enough” for the sound engineer, participating musicians, and …

A Quantum-Classical Network For Beat-Making Performance, Scott Oshiro, Omar Costa Hamido

Journal of Network Music and Arts

In recent years, quantum computing has emerged as the next frontier in computational and information technologies. Even though it has found potential applications in solving complex problems in fields such as chemistry, machine learning, and cryptography, among other fields, there has been little research conducted on its applications for music and acoustic technologies. This paper will discuss the use of a quantum internet protocol in the context of networked music performance in which quantum computing could play a role in processing musical data via a cloud-based music software application. We also propose an example model for a beat-making performance network …

Purpose And Well-Being Through Administering Network Performances, Andrew Mcmillan, Fabio Morreale

Journal of Network Music and Arts

Due to the COVID-19 crisis, music communities who found themselves in social and physical isolation have been trying to find alternative solutions to keep some form of connection. Network performance is one of these solutions, one that is specifically aimed at enhancing communities’ connectivity beyond one’s intimate surroundings. In order for network performances to properly work, there are numerous roles that need to be filled; these include performers, administrators, technicians, and event organizers. This paper presents new discussions aimed at understanding these evolving roles and the way in which they are intertwined. These discussions are based on the autobiographical reflections …

Networked Music Performance In Virtual Reality: Current Perspectives, Ben Loveridge

Journal of Network Music and Arts

The ability for musicians to interact face-to-face has been highly impacted by the COVID-19 pandemic. Physical distancing and travel restrictions have forced teaching, rehearsals, and performances to be moved online. The use of videoconference platforms designed for conversation has also meant accepting their limitations when used in musical contexts. For example, in networked music performance (NMP), low-latency audio is usually transmitted alongside a separate video image. Since videoconference systems usually have a higher degree of in-built delay, the result is that performers often ignore the video image of each other in order to maintain a steady rhythm. If musicians usually …

Editorial, Sarah Weaver

Journal of Network Music and Arts

No abstract provided.

A Study Of Static And Dynamic Characteristics Of Multifunctional Signal Converters, Akmal Abdumalikov

Chemical Technology, Control and Management

The issues of continuity, accuracy, speed and reliability of signal conversion, which are the main problems of quality control and management of production processes, remain relevant. Research shows that in practice there are different signal variables, the study of which is highly formalized in a number of modeling tasks and basic classification studies, in particular transients in converters, its sources and elements requires a unified mathematical approach, that is, visual, highly formalized modeling and research based on it. The paper presents a graph model of multifunctional signal converters that provide microprocessor and electronic devices with signals in the form of …

Navigating In Numerous Video Data: User Interface Design For An On-Camera Video Analytics Engine, Sabriya Maryam Alam

The Journal of Purdue Undergraduate Research

Video analytics powered by artificial intelligence shows high promise in making our society smarter. Harnessing large amounts of video data, however, requires the development of processing systems demonstrating high performance and high efficiency. To this end, this work has contributed to a video analytics system powered by artificial intelligence for object detection and recognition. Rather than streaming all the video frames to the cloud, the system analyzes images on-camera and only returns those of interest to the cloud. This edge analytics research-grade software is available, but it lacks a simple web interface for general use by scientists, engineers, and other …

A Fortran-Keras Deep Learning Bridge For Scientific Computing, Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi

Engineering Faculty Articles and Research

Implementing artificial neural networks is commonly achieved via high-level programming languages such as Python and easy-to-use deep learning libraries such as Keras. These software libraries come preloaded with a variety of network architectures, provide autodifferentiation, and support GPUs for fast and efficient computation. As a result, a deep learning practitioner will favor training a neural network model in Python, where these tools are readily available. However, many large-scale scientific computation projects are written in Fortran, making it difficult to integrate with modern deep learning methods. To alleviate this problem, we introduce a software library, the Fortran-Keras Bridge (FKB). This two-way …

Zero-Bias Deep Learning For Accurate Identification Of Internet Of Things (Iot) Devices, Yongxin Liu, Houbing Song, Thomas Yang, Jian Wang, Jianqiang Li, Shuteng Niu, Zhong Ming

Publications

The Internet of Things (IoT) provides applications and services that would otherwise not be possible. However, the open nature of IoT makes it vulnerable to cybersecurity threats. Especially, identity spoofing attacks, where an adversary passively listens to the existing radio communications and then mimic the identity of legitimate devices to conduct malicious activities. Existing solutions employ cryptographic signatures to verify the trustworthiness of received information. In prevalent IoT, secret keys for cryptography can potentially be disclosed and disable the verification mechanism. Noncryptographic device verification is needed to ensure trustworthy IoT. In this article, we propose an enhanced deep learning framework …

Paralleling Simulation Of Operation Plan Based On Decision Point Controlling, Zhanguang Cao, Pinggang Yu, Kuo Wang

Journal of System Simulation

Abstract: Operation plan simulation traditionally uses serial and static method. It can't be fulfilled for the military need of swift simulation and real-time decision in the modern complicated and dynamically battle field. So, the higher complexity and dynamical decision according to situation of the operation plan bring new challenge to the simulation. Operation Plan Paralleling Simulation Based on Decision Point Controlling (P2SDPC) can realize the operation plan's dynamic adjusting and cutting impossible branch based on decision point controlling technology. From then on, the efficiency of operation plan's simulation could be improved by the way of paralleling simulation. Thus the problem …

Model And Simulation Of Virtual Character Based On Real-Time Sensor Data-Driven, Lufeng Luo, Xiangjun Zou, Zhang Cong, Xie Lei

Journal of System Simulation

Abstract: The real-time control of virtual character behavior is a challenge in simulating virtual exercise. A kind of virtual character running behavior control method based on real-time data-driven was proposed, the real-time data acquisition with the help of sensor was expounded, the time-series law of human body running was analyzed, the human body posture mathematics expression was modeled, and a limb movement parts and rotation degrees of freedom computing model was proposed. By use of rotation angle method, the space and time relationship of each part of human movement chains was established and the movement process frame when moving was …

Method For Auto-Generating Cartoon Based On A Set Of Portrait Dictionary, Jingjing Sun, Jiajun Yu, Li Bei, Zhifeng Xie, Youdong Ding

Journal of System Simulation

Abstract: An efficient method of auto-generating portrait cartoon based on true portrait pictures was proposed. The first step was to establish a set of portrait dictionary. As a result, the portrait was divided into six components including eyebrows, eyes, nose, mouth, face, hair, so that the material library of cartoon corresponding to each component could be established. The next was to collect some real portrait images and synthesize them using the component material, meanwhile to calculate the facial shape features and the texture features of hair corresponding to each portrait. The second step was to input a real portrait image …

Neural Network Model Of Information Fusion For Coal Storage And Kinetic Energy Of Ball Mill, Bai Yan, He Fang

Journal of System Simulation

Abstract: A dynamic mathematical model of coal pulverizing system was analyzed. Simulation experiments on mill operation process were conducted by PFC3D software platform based on discrete element method. The associated data between different coal quality, coal storage and balls' motion were obtained under certain quantitative optimized operating parameters configuration. Neural network model of information fusion for coal storage and kinetic energy of ball mill was established by using an adaptive combination learning algorithm. Coal storage in mill cylinder was predicted from the energy point of view. The results indicate that there is a close relationship between coal storage, pulverizing efficiency …

Modeling Of High-Speed Railway Operation Informational Interaction Process Using Oopn, Liping Feng, Qiyuan Peng, Wen Chao

Journal of System Simulation

Abstract: High-speed railway transportation is an informational interaction process involving multi-levels and multiple subsystems. The majority of the present study focuses on the local system, causing some limitations to the overall control of high-speed rail traffic command. The high-speed railway operation process covering traffic control subsystem, train control subsystem, computer interlocking subsystem were researched with the key point of information interaction. Then the future directions were proposed, modeling and application respectively, which could remind of the deepen research on high-speed railway operation. Based on OOPN, the HTOIIP model with the formalized definition was built.

Application Of Domain Knowledge Representation In Simulation Tutoring For Weapon Utilization, Zhang Chi, Danhua Peng, Kedi Huang

Journal of System Simulation

Abstract: According to the requirements and characteristics of the simulation tutoring system for weapon utilization, a knowledge base depending on the domain ontology was designed. The knowledge for weapon utilization, the knowledge representation, and the method of knowledge representation were introduced. Through a combination of the ontology technology and various existing models, the key points of using specific weapon could be mastered by processing the date, information, and experience from expert. The conceptual model of knowledge was built. A knowledge base for weapon utilization was designed and implemented. The structure and function of the simulation tutoring system and rule-based expert …

Method For Auto-Detection Of Tracking Moving Objects In Complicated Dynamic Environment, Yanling Wang, Guanglun Li, Lin Xiao

Journal of System Simulation

Abstract: An approach was proposed to solve the problem of not accurately identifying the moving targets in the complex dynamic environment. The moving objects were detected by utilizing the method based on the HSV color space and auto-updating the background. The background subtraction method based on the HSV color space was used to solve the problem that the objects could not be accurately identified for the color similarity of objects and background and the influence of the shadow of the moving targets. The background change was divided into the temporary stability and the rapid change, and an automatically updating double …

Robust Image Cloning With Color Harmonization, Li Bei, Wang Hao, Jiajun Yu, Zhifeng Xie, Youdong Ding

Journal of System Simulation

Abstract: Image cloning has always been an important part of image editing. In general, it can be divided into three methods, based on a component, based on gradient domain, and based on coordinate respectively, but the color discordant and boundary distortion problems have not been well solved. In order to solve the color discordant problem in the method based on mean value coordinate, a method of image cloning was proposed based on local affinity propagation. The affinity considered the location information of pixels, color information, background information comprehensively, thus it could ease the color discordant and reach color harmonization. The …

Multi-Objective Cuckoo Search Algorithm, Xingshi He, Li Na, Xinshe Yang, Yu Bing

Journal of System Simulation

Abstract: It is challenging to solve multi-objective optimization problems with getting high-quality Pareto fronts accurately. The multi-objective Cuckoo Search algorithm (MOCS) was designed by firstly applying the recently developed Cuckoo Search Algorithm (CS) in solving Multi-objective optimization problems, and the fitness function based Pareto definiteness was improved, and the Gradual archive reduction method based on niche technology was proposed to improve the Archive solutions quality. The simulation test results and related performance indicators of nine test problems show that, MOCS algorithm is obviously improved in the aspect of the convergence, the diversity and the uniformity compared with the classic NSGA-II …

Simulation Analysis Of Rutting Length Based On Driving Safety Under Condition Of Road Waterlogging, Zhang Min, Xinxin Guo, Zhang Chi

Journal of System Simulation

Abstract: Rutting is one of the important factors for vehicle hydroplaning in raining days. Based on the analysis of vehicle driveability and lateral stability on the pavement covered by water, the rutting safety evaluation method considering driving safety under the condition of road waterlogging was put forward. Using the CarSim software to simulate vehicle lateral offset and lateral acceleration with different speeds, the rutting evaluation indicators on driving safety were set up. It shows that vehicle lateral offset and lateral acceleration increase quickly and exceed the safety threshold easily when more than 80km/h speed. On the rutting pavement covered by …

Security Model For Multi-Level Interaction Based On Portable Devices, Xuesi Zhang, Bin Yu

Journal of System Simulation

Abstract: Aiming at the problem of information interaction between multi-security-level devices, a security model based on portable devices was proposed. In use of portable storage device partitions, this model established a security communication channel that transmitted the multi-level interaction problem to the problem of controlling ordered read-write operation sequences. By setting the condition of security level as well as the recognition of partitions and operation, the read-write function for partition was designed to control the read and write operation towards the interactive partition. Based on the above, by designing operation control rules between interaction devices, an effective and bidirectional controlled …

Research Of Multi-Factor Identity Authentication Scheme For Zigbee Network Nodes, Weiwei Zhou, Yuntian Yue, Bin Yu

Journal of System Simulation

Abstract: To solve the problem of the man-in-the-middle attack and impersonation attack in ZigBee networks, a scheme based on multi-factor identity authentication for ZigBee network nodes was proposed. The scheme bound the fresh factor updated in a particular cycle with hardware information via a one-way hash function to generate hardware information factor. On this basis, the scheme achieved the authentication mechanism for the nodes through the comparison among key factor, hardware information factor and configuration information factor received by control center. Meanwhile, the nodes completed control center authentication through the signature verification of the message received. Thus, the bidirectional authentication …

Spatio-Temporal Correlation Described And Analysis Method Of Video Event Based On Case Frame, Ke Jia, Yongzhao Zhan, Xiaojun Chen, Manrong Wang

Journal of System Simulation

Abstract: In the mass of video resources, how to describe and represent video event content is one of hot issues in the current multimedia information processing. The original theory of case grammar for natural language understanding was extended; Case Frame was designed to describe the relationships between the structures of complex events in the sub-events. In Ref_Asso, which is one of relationships, spatio-temporal correlation was analyzed and reasoned among sub-events. In the experimental part, Case Semantic Frame Net was used to describe and understand the typical complex events in surveillance video. And results of users' retrieval were compared; in which …

Digital Analysis For Van Gogh's Painting, Yuqing Liu, Yuanyuan Pu, Yangfu Ren, Xu Dan

Journal of System Simulation

Abstract: Usually, Sparse Coding can be used to extract image characteristics for analyzing the style of visual art works, while researchers always don't do deep data mining on the trained basis function. The basic functions that could reflect the interior characteristics of a stylish image were trained based on Sparse Coding on art works. The spatial and higher-order characteristic statistics were figured out. Van Gogh's art works of different periods were analyzed through normalized mutual information computing using trained basis function's Gabor transform power, in order to find the diversity of style. The simulation results show that data mining on …

Research On High Usability Based On Cloud Simulation Platform, Limin Zhou, Yanfang Fu, Wuqi Gao, Gao Xiang, Cheng Bing

Journal of System Simulation

Abstract: With the increasing complexity of the simulation system, the reliability requirement is also growing. In order to ensure the reliability of the simulation system, a cloud simulation platform was built. Through the research of virtualization and high availability, a set of cloud simulation platform client management program was designed and developed according to the simulation needs. In the process of running, virtual simulation system node migration and analog off network operations were proposed to verify the reliability of the platform disaster. This ensures that the simulation system runs efficiently and stably.

Fluid Simulation Of Sph Based On Opencl, Miaomiao Xiao, Liu Zhen, Jiabin Shi, Tingting Liu, Cuijuan Liu, Bangquan Liu

Journal of System Simulation

Abstract: Fluid plays an important role in the Virtual Reality Scene. Physics-based fluid animation can enhance the reality of numerical simulation. The efficiency of fluid animation based on physical computing usually is not real-time rendering without parallel computing. Fluid simulation was proposed based on SPH using OpenCL, which could make full use of the data interoperability of OpenCL and the graphics API, and use the coordination work of CPU and GPU to increase the potential of the hardware; when physics computing, the surface particles and normals based on the Coulomb's law were solved out. The preliminary experiment shows that the …

Research On Augmented Reality Of Library's Navigation System, Zhou Wei, Lilong Chen, Jianwen Song

Journal of System Simulation

Abstract: Library science is an interdisciplinary or multidisciplinary field, classifying and retrieving books is very tedious and complex, librarians spend a lot of time on tidying books, readers on searching as well. AR (Augmented Reality) was used in library's book searching and navigation. Encoding a book's Id to a two-dimension code marker, using a AR software development kit, and Wi-Fi localization using RSSI(received signal strength), and combining the virtual mark of navigator with the scene of library, the procedure of book searching and borrowing was simplified. The test results indicate that this system benefits to locate the right place of …