Computer Engineering Commons^™

Digitalization In Practice: The Fifth Discipline Advantage, Siu Loon Hoe

Research Collection School Of Computing and Information Systems

Purpose The purpose of this paper is to provide advice to organizations on how to become successful in the digital age. The paper revisits Peter Senge's (1990) notion of the learning organization and discusses the relevance of systems thinking and the other four disciplines, namely, personal mastery, mental models, shared vision and team learning in the context of the current digitalization megatrend. Design/methodology/approach This paper is based on content analysis of essays from international organizations, strategy experts and management scholars, and insights gained from the author's consulting experience. A comparative case study from the health and social sector is also …

Implementing Security-Enhanced Phr System In The Cloud Using Fame, Zuobin Ying, Wenjie Jiang, Ximeng Liu, Shengmin Xu

Research Collection School Of Computing and Information Systems

Personal Health Record (PHR) plays an important role in realizing the exchange and interaction of medical information as well as in managing chronic diseases. In the recent decade, plenty of researches have been carried out to resolve the secure sharing issue of PHR in the cloud via access control schemes. Attribute-based Encryption (ABE) is a promising technique, which implements access control by introducing the access policy. When ABE is used to construct access control scheme in the cloud, hiding and updating access policy have always been two research hotspots. However, all of the existing solutions only consider one of these …

Seer: An Explainable Deep Learning Midi-Based Hybrid Song Recommender System, Khalil Damak, Olfa Nasraoui

Faculty and Staff Scholarship

State of the art music recommender systems mainly rely on either matrix factorization-based collaborative filtering approaches or deep learning architectures. Deep learning models usually use metadata for content-based filtering or predict the next user interaction by learning from temporal sequences of user actions. Despite advances in deep learning for song recommendation, none has taken advantage of the sequential nature of songs by learning sequence models that are based on content. Aside from the importance of prediction accuracy, other significant aspects are important, such as explainability and solving the cold start problem. In this work, we propose a hybrid deep learning …

Android And Web Application For Tracking Employees, Kaival Dholakia

Electronic Theses, Projects, and Dissertations

The purpose that this tracking system serves is to keep track of the employees of the company who have the nature of their job which involves a lot of traveling to various locations on a day to day basis. It is an amalgamation of Android as well as a Web application. The employee is supposed to pass the location and image as per the terms and conditions specified to use the Android application. The web application is used by the admin department to access the information which would help them monitor the location of the employee in a timely manner. …

Second-Order Fault Tolerant Extended Kalman Filter For Discrete Time Nonlinear Systems, Xin Wang, Edwin E. Yaz

Electrical and Computer Engineering Faculty Research and Publications

As missing sensor data may severely degrade the overall system performance and stability, reliable state estimation is of great importance in modern data-intensive control, computing, and power systems applications. Aiming at providing a more robust and resilient state estimation technique, this paper presents a novel second-order fault-tolerant extended Kalman filter estimation framework for discrete-time stochastic nonlinear systems under sensor failures, bounded observer-gain perturbation, extraneous noise, and external disturbances condition. The failure mechanism of multiple sensors is assumed to be independent of each other with various malfunction rates. The proposed approach is a locally unbiased, minimum estimation error covariance based nonlinear …

Comparison And Design Optimization Of A Five-Phase Flux-Switching Pm Machine For In-Wheel Traction Applications, Hao Chen, Xiangdong Liu, Nabeel Demerdash, Ayman M. El-Refaie, Jing Zhao, Jiangbiao He

Electrical and Computer Engineering Faculty Research and Publications

A comparative study of five-phase outer-rotor flux-switching permanent magnet (FSPM) machines with different topologies for in-wheel traction applications is presented in this paper. Those topologies include double-layer winding, single-layer winding, C-core, and E-core configurations. The electromagnetic performance in the low-speed region, the flux-weakening capability in the high-speed region, and the fault-tolerance capability are all investigated in detail. The results indicate that the E-core FSPM machine has performance advantages. Furthermore, two kinds of E-core FSPM machines with different stator and rotor pole combinations are optimized, respectively. In order to reduce the computational burden during the large-scale optimization process, a mathematical technique …

Comparative Study Of Winding Configurations Of A Five-Phase Flux-Switching Pm Machine, Hao Chen, Xiangdong Liu, Ayman M. El-Refaie, Jing Zhao, Nabeel Demerdash, Jiangbiao He

Electrical and Computer Engineering Faculty Research and Publications

This paper introduces a general method for determination of the most suitable winding configurations for five-phase flux-switching permanent magnet (FSPM) machines, associated with feasible stator/rotor-pole combinations. Consequently, the effect of winding configurations on the performance of a five-phase outer-rotor FSPM machine is thoroughly investigated, including non-overlapping concentrated windings (single-layer, double-layer, and multi-layer) as well as distributed winding. The electromagnetic characteristics in the low-speed region, the flux-weakening capability in the high-speed region, and the fault-tolerant capability under faulty situations are evaluated and compared in detail. This work shows that compared with the conventional single-layer or double-layer concentrated windings, the FSPM machine …

Socialization Of Veterans Using Virtual Reality, Joan M. Savage

Theses and Dissertations

Virtual reality, augmented reality, mixed reality, and video games are growing in popularity and fulfilling genuine human needs that the real world is currently unable to satisfy. Games are providing rewards that reality is not. They are teaching and inspiring and engaging us in ways that reality is not (McGonigal, 2011). The purpose of this study was to capture the essence of socialization in virtual reality as a Ph.D. dissertation topic at Florida Institute of Technology - Human-Centered Design. This study used a phenomenology methodology to capture the experiences of beneficial features of players who use virtual reality. The study …

Machine Learning In The State Design Pattern, Timothy Matthew Von Friesen

Theses and Dissertations

As the Internet of Things revolution continues to become more prevalent in humanity's daily routine, securing these devices is paramount. Society has seen a substantial increase in activity in the cyber-warfare battle space, resulting in an increasing amount of security breaches every year. The responsibility of securing our devices can no longer rely solely on cyber-security engineers keeping systems hardened through Security Technical Implementation Guides and vulnerability scans; it must shift towards the developer. Previous research has been done in this area of securing our devices. However, these solutions rely heavily on cloud computing resources to perform computationally expensive algorithms. …

Secure Two-Party Protocol For Privacy-Preserving Classification Via Differential Privacy, Manish Kumar

Boise State University Theses and Dissertations

Privacy-preserving distributed data mining is the study of mining on distributed data—owned by multiple data owners—in a non-secure environment, where the mining protocol does not reveal any sensitive information to the data owners, the individual privacy is preserved, and the output mining model is practically useful. In this thesis, we propose a secure two-party protocol for building a privacy-preserving decision tree classifier over distributed data using differential privacy. We utilize secure multiparty computation to ensure that the protocol is privacy-preserving. Our algorithm also utilizes parallel and sequential compositions, and applies distributed exponential mechanism to ensure that the output is differentially-private. …

Improved Study Of Side-Channel Attacks Using Recurrent Neural Networks, Muhammad Abu Naser Rony Chowdhury

Boise State University Theses and Dissertations

Differential power analysis attacks are special kinds of side-channel attacks where power traces are considered as the side-channel information to launch the attack. These attacks are threatening and significant security issues for modern cryptographic devices such as smart cards, and Point of Sale (POS) machine; because after careful analysis of the power traces, the attacker can break any secured encryption algorithm and can steal sensitive information.

In our work, we study differential power analysis attack using two popular neural networks: Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN). Our work seeks to answer three research questions(RQs):

RQ1: Is it …

Robot Simulation Analysis, Jacob Miller, Jeremy Evert

Student Research

• Simulate virtual robot for test and analysis

• Analyze SLAM solutions using ROS

• Assemble a functional Turtlebot

• Emphasize projects related to current research trajectories for NASA, and general robotics applications

Voting Booths And Interactive Art Installations: The Diebold Accuvote Ts In Context, Mike Richison

Journal of Network Music and Arts

In 2016, I created an interactive installation called Video Voto Matic. This project was a mashup between the Votomatic voting system and a Roland TR-808 drum machine. To coincide with the 2020 election season, I am currently working on an update of the project that will include a touch screen voting interface and multiple networked stations that also produce audio and video output. The interface will be housed in the same voting booths that once housed the Diebold Accuvote TS. The Diebold Accuvote TS is a screen-based voting machine that does not utilize paper as a backup. Researchers have examined …

Being Together—Or, Being Less Un-Together—With Networked Music, Rebekah Wilson, Andrew Mcmillan

Journal of Network Music and Arts

When musicians cannot travel to another location where other musicians are, they generally assume that this means they cannot perform music together—even while the technology exists to allow them to do so. The perception that Internet technology is not suited for music performance is due to a lack of exposure on navigating the limitations specific to networked music, along with the cultural belief that latency is incompatible with music performance. Many groups, however, have successfully created networked music performance systems. Such systems are particularly interesting in affording new musical and social opportunities in cases when musicians cannot travel due to …

Considering Telematic Tools For Conferences, Scott Deal, Rodney Smith, Chuiyuan Meng, Matt Vice

Journal of Network Music and Arts

Participation in conferences is an elemental component of professional life throughout the world. Two problems offset the social synergy gained from attending a far-away gathering of like-minded people. The first is the highly pronounced carbon footprint from air travel, and the second is the expense involved to participate in a conference which may be on another continent. These factors prevent many from participating who could otherwise benefit as well as contribute. As videoconferencing becomes more common and more sophisticated, it will serve as an alternative that not only benefits constituencies, but will expand the reach of a conference to more …

Understanding The Telematic Apparatus, Patrick Muller, Benjamin Burger, Joel De Giovanni, Matthias Ziegler

Journal of Network Music and Arts

Under the conditions of its geographic distribution, the “telematic performance” can be regarded as a remediation of traditional concert, theater or dance formats. Conversely, and as this paper argues, the telematic performance can also be understood as an artistic format of its own right, one which then can serve as a trope for social interaction under the conditions of critical posthumanism. To gain a wider perspective, this paper analyzes Alan Turing’s “Imitation Game” from his seminal article Computing Machinery and Intelligence, 1950, proposing it as an early conceptualization of a telematic performance. This against-the-grain reading of Turing’s text reveals certain …

Sensing Place And Presence In An Intimal Long-Distance Improvisation, Ximena Alarcon Diaz, Paul Boddie, Cagri Erdem, Eigil Aandahl, Elias Sukken Andersen, Eirik Dahl, Mari Lesteberg, Alexander Refsum Jensenius

Journal of Network Music and Arts

INTIMAL is an interactive system for relational listening, which integrates physical-virtual interfaces for people to sonically improvise between distant locations. The aim is to embrace two key aspects in the context of human migration: the sense of place and the sense of presence. This paper reflects on the use of INTIMAL in a long-distance improvisation between the cities of Oslo, Barcelona and London in May 2019. This improvisation was performed by nine Colombian migrant women, who had been involved in a research process using the Deep Listening® practice developed by Pauline Oliveros. Here we describe the performance setting and the …

Telematic Music Vs. Networked Music: Distinguishing Between Cybernetic Aspirations And Technological Music-Making, Eric C. Lemmon

Journal of Network Music and Arts

No abstract provided.

Editorial, Sarah Weaver

Journal of Network Music and Arts

Welcome to the Journal of Network Music and Arts (JONMA). JONMA is a peer-reviewed open access digital research journal published by Stony Brook University. Network Music and Arts utilize the Internet and related technologies as an artistic medium for works created for this platform. JONMA will publish research by artists, technologists, educators, and related scholars. The journal content will include articles, audio and video documentation, and reviews for books and recordings.

Robust And Self-Synchronous Steganography For Voice-Over-Ip Based On Ldpc Codes, Zhanzhan Gao, Guangming Tang, Haitao Song

Journal of System Simulation

Abstract: VoIP (Voice over IP) is a kind of voice communication technology based on UDP/IP protocols, so packet loss will inevitably happen when the channel environment deteriorates. Besides that, stego VoIP data flows are real-time and have no head or tail, which pose more challenges to accurately extract the secret messages. This paper proposes a robust and self-synchronous VoIP steganography method, which solves the above two problems under the premise of maintaining good imperceptibility. In this method, low density parity check (LDPC) codes are introduced to preprocess the secret data, and the encoded data are embedded into voice …

No-Collision Curling Trajectory Simulation System, Tian Yu, Xu Ming

Journal of System Simulation

Abstract: In just a few decades, China’s curling accomplished splendid work. But it’s scientific research falling behind a lot. Applying computer simulation technology in sports training can effectively help the athletes to understand the problems that exist in the training. When curling stone slides on the ice, it can be regarded as two-dimensional motion of rigid body, which can be decomposed into two parts: translation of the center of mass and rotation of a fixed axis around the center of mass. Using computer simulation technology to simulate the curling trajectory, and with the help of this system, the athletes can …

Ground Coverage Stitching Simulation Algorithm For Remote Sensing Satellite, Shuhao Liu, Wang Tong, Zhang Yue

Journal of System Simulation

Abstract: Ground coverage stitching is the base of remote sensing satellite mission simulation. A coverage stitching simulation algorithm is proposed, considering big time step and attitude maneuver simulation. Transient coverage region is computed by light of view intersection and tangent searching methods. Transient coverage boundaries of different simulation times are stitched by two-dimension convex hull algorithm. Between points of the stitched region polygon edges, new vertexes are interpolated. With the method proposed, limb coverage problem and coverage fusion when time step is large can be solved. Computer simulation results show that the algorithm achieves a fine accuracy and …

Locally Weighted Learning Control For Dynamic Restricted Manipulators, Wang Gang, Tairen Sun, Shengpei Ding

Journal of System Simulation

Abstract: This paper proposes a locally weighted learning control law for a manipulator with state and input constraints and modeling uncertainties. By visualizing the control input as an extended state, the control problem is converted into control design for a state-constraint uncertain nonlinear system. Barrier Lyapunov functions are introduced into a backstepping procedure and a locally weighted learning control is designed, which ensures the exponential convergence of the barrier functions to a small neighborhood of zero and then guarantees satisfaction of system constraints and the tracking error convergence. The control feasibility and effectiveness is validated by theoretical analysis and …

Simulation Analysis Of Vehicle Electromagnetic Environment Under Excitation Of Vhf Antenna, Xiaoying Sun, Hanqing Wang, Jinpeng Yang, Zhao Yu

Journal of System Simulation

Abstract: Aiming at the issue of distribution regularity of field strength in vehicle cab under excitation of vehicle-borne high-power VHF antenna, a method of numerical simulation combining with extreme value theory to predict maximum field strength is proposed, which minimizes sample collecting difficulty and fitting deviation. CST simulation software is applied to get field strength sample in vehicle cab, and generalized extreme value (GEV) is used to fitting entire field strength distribution. peak over threshold (POT) model based on Generalized Pareto distribution is used to research high field strength value sample statistical characteristics. Resultsshow that under antenna excitation of 92.5 …

Ti-A* Based Multi-Robot Dynamic Planning And Coordination Method, Zhao Ping, Xinyu Lei, Bozhi Chen, Jiaoyun Yang

Journal of System Simulation

Abstract: Multiple robots path planning problem in dynamic environment is one of the significant and basic problems of cluster robot perception and coordination. The planning problem is decomposed into two modules: the path planning and the conflict coordination. By introducing time-cost function, the Time Integrated A* algorithm (TI-A*) is introduced. Variable speed is employed simultaneously to coordinate the motion and hereby to avoid the deadlock and conflict. By adjusting the timing when the coordination phase is involved, two different coordination TI-A* algorithms are presented, including the speed-changing algorithm and path-changing algorithm. The two algorithms are compared and the respective …

Travel Time Reliability Of Inside Area Of Roundabouts, Yuzhou Duan, Tingting Chai, Jian Jie

Journal of System Simulation

Abstract: Based on the travel time reliability, this paper analyzes the traffic states in the inside area of the roundabout. The travel time reliability model is established from three aspects: route path, entrance and system, and the practicability of the model is verified by the VISSIM simulation. On this basis, the correlation analysis is made on between the adjacent paths of the same entrance and adjacent paths of the adjacent entrances, and the fitting equations are obtained. Taking the number of lanes, traffic volumes, proportion of left-turns and the rate of heavy vehicles as variables, a sensitivity analysis …

Integrated Simulation Optimization Of Hard Shoulder Running Combined With Speed Harmonization, Ruimin Li, Ye Zhen, Bin Li

Journal of System Simulation

Abstract: We have a study on hard shoulder running (HSR) combined with speed harmonization. The breakdown events were screened out during the study period from massive detector data. The impact of hard shoulder volume on breakdown probabilities was analyzed. The nonparametric breakdown probabilities distribution model and logistic regression model were put forward based on highway mainline traffic volume, hard shoulder volume and ramp volume from the study case which was divided into three factors-basic segment, on-ramp merging segment and off-ramp diverging segment. The speed harmonization and HSR were optimized through reducing the traffic breakdown probabilities of a congested traffic network. …

Dynamic Interference Detection Algorithm For Bearing With Scar, Jinyuan Jia, Naihao Zheng

Journal of System Simulation

Abstract: To solve the dynamic interference detection problem of scar bearing in visual assembly, an efficient dynamic interference inspection algorithm for scar bearing is proposed. The first step is to perform vertex management on the 3D reconstructed scar bearing model through the quad-tree; the second step is to select the appropriate algorithm for the calculation of the maximum interference distance by considering bearing shape and its motion characteristics. The research shows that the algorithm can quickly and efficiently test the dynamic interference and calculate the interference distance for the bearing with scar, which can effectively improve the efficiency of bearing …

Optimal Compensation Control Strategy For Four-Axle Vehicle With All-Wheel Steering System, Baohua Wang, Yu Chao

Journal of System Simulation

Abstract: Aiming at the problem of poor stability of traditional multi-axle commercial vehicles, an optimal control strategy for multi-axle steering wheel is proposed. Through the establishment of the four-axis vehicle model, the wheel angle proportional feed-forward control algorithm and the yaw rate feedback control algorithm are studied. The optimal compensating control algorithm of the wheel angle proportional feed-forward and yaw rate feedback is proposed, and the control strategy is also verified through joint simulation. The results show that the full-wheel steering optimal compensation control strategy can keep the center-of-mass skew angle close to zero at all vehicle speeds, …

Simulation Estimation On Directional Green-Wave Traffic Control In Nanning City, Yiman Du, Hongfan Su, Chen Yu, Longfei Liu, Jianping Wu

Journal of System Simulation

Abstract: Due to the noticeable development of Nanning city, traffic congestion has become a serious problem, especially during the peak hours along the Binhu road. The development of Nanning city is restricted by the imbalance distribution of traffic flow. In order to ease the overload burden of traffic along the Binhu road during the peak hours, the current problems are analyzed and some solutions with directional green-wave traffic control are proposed. Traffic microscopic simulation software is used to estimate the improvement between before and after implementations of the solutions.