Computer Engineering Commons^™

Detection Of Disease And Pest Of Kenaf Plant Based On Image Recognition With Vggnet19, Diny Melsye Nurul Fajri, Wayan Firdaus Mahmudy, Titiek Yulianti

Knowledge Engineering and Data Science

One of the advantages of Kenaf fiber as an environmental management product that is currently in the center of attention is the use of Kenaf fiber for luxury car interiors with environmentally friendly plastic materials. The opportunity to export Kenaf fiber raw material will provide significant benefits, especially in the agricultural sector in Indonesia. However, there are problems in several areas of Kenaf's garden, namely plants that are attacked by diseases and pests, which cause reduced yields and even death. This problem is caused by the lack of expertise and working hours of extension workers as well as farmers' knowledge …

Creation Of A Customized College Student Cybersecurity Awareness Online Learning Solution, Stanley Mierzwa, Iassen Christov, Bruno Lima

Center for Cybersecurity

Many businesses, agencies, for-profit and non-profit organizations have implemented cybersecurity awareness training programs for their staff.

Promoting Diversity In Academic Research Communities Through Multivariate Expert Recommendation, Omar Salman

Graduate Theses and Dissertations

Expert recommendation is the process of identifying individuals who have the appropriate knowledge and skills to achieve a specific task. It has been widely used in the educational environment mainly in the hiring process, paper-reviewer assignment, and assembling conference program committees. In this research, we highlight the problem of diversity and fair representation of underrepresented groups in expertise recommendation, factors that current expertise recommendation systems rarely consider. We introduce a novel way to model experts in academia by considering demographic attributes in addition to skills. We use the h-index score to quantify skills for a researcher and we identify five …

Privacy-Preserving Cloud-Assisted Data Analytics, Wei Bao

Graduate Theses and Dissertations

Nowadays industries are collecting a massive and exponentially growing amount of data that can be utilized to extract useful insights for improving various aspects of our life. Data analytics (e.g., via the use of machine learning) has been extensively applied to make important decisions in various real world applications. However, it is challenging for resource-limited clients to analyze their data in an efficient way when its scale is large. Additionally, the data resources are increasingly distributed among different owners. Nonetheless, users' data may contain private information that needs to be protected.

Cloud computing has become more and more popular in …

Efficient Yet Robust Privacy For Video Streaming, Luke Cranfill, Junggab Son

Master of Science in Computer Science Theses

MPEG-DASH is a video streaming standard that outlines protocols for sending audio and video content from a server to a client over HTTP. The standard has been widely utilized by the video streaming industry. However, it creates an opportunity for an adversary to invade users’ privacy. While a user is watching a video, information is leaked in the form of meta-data, the size and time that the server sent data to the user. This information is not protected by encryption and can be used to create a fingerprint for a video. Once the fingerprint is created, the adversary can use …

Visualizing Publication Trends In Webology Journal: A Bibliometric Review Based On The Scopus Database (2006-2020), Ayush Kumar Patel, Madan Singh, Kunwar Singh, Avadhesh Kumar Patel, Akhilesh Kumar Varma, Ramesh Kuri

Library Philosophy and Practice (e-journal)

This study aims to explore the publication trends in Webology Journal. The Scopus database was chosen for the extraction of bibliographic data for the period 2006 to 2020. Then, VOSviewer software was used to analyse the data and generate visualization network maps. A total of 295 publications were found during the study period. The various bibliometrics indicators have been applied to identify the publication trends of Webology Journal. The finding revealed that the highest number of papers (92) and the maximum number of citations (273) appeared in 2020. Among the most contributing nations, Iran has contributed 63 documents, followed by …

Website Based Library Service Development For Elementary School Library Services (Case Study: A Private Elementary School Library In Surabaya), Nasa Zata Dina, Iva Nur Annisya, Nyoman Juniarta

Library Philosophy and Practice (e-journal)

This study was conducted to develop library services at a private elementary school by developing a system using the waterfall method and PHP framework. It is developed to provide website based library. Many users, especially librarian, experience restlessness in cataloging, processing and lending services because all the services had been processed manually. Librarian’s workload increased because there is limited number of people work in the library. The purpose of this research is to make librarian easier to provide library services which are packaged in a website based library services. This study uses the waterfall method to develop library services. The …

Modernization Of Scienttific Mathematics Formula In Technology, Iwasan D. Kejawa Ed.D, Prof. Iwasan D. Kejawa Ed.D

Department of Mathematics: Faculty Publications

Abstract
Is it true that we solve problem using techniques in form of formula? Mathematical formulas can be derived through thinking of a problem or situation. Research has shown that we can create formulas by applying theoretical, technical, and applied knowledge. The knowledge derives from brainstorming and actual experience can be represented by formulas. It is intended that this research article is geared by an audience of average knowledge level of solving mathematics and scientific intricacies. This work details an introductory level of simple, at times complex problems in a mathematical epidermis and computability and solvability in a Computer Science. …

Users’ Reception Of Product Recommendations: Analyses Based On Eye Tracking Data, Feiyan Jia, Yani Shi, Choon Ling Sia, Chuan-Hoo Tan, Fiona Fui-Hoon Nah, Keng Siau

Research Collection School Of Computing and Information Systems

Based on eye tracking technology, we study consumers’ overall attention to recommendations appearing at different time settings (i.e., early, mid, and late) and their attention to different information contained in each recommendation, such as recommendation signs, product descriptions, and reviews. By investigating consumers’ eye movement patterns and attention distributions on recommendations, we open the “black box” of why consumers’ reception to recommendations appearing at different time settings varies. The product preference construction literature and mindset theory help to explain why the early recommendations receive the most attention. The need for justification helps to explain why the late recommendations should receive …

Scholarly Communication On Web 3.0: An Analysis Based On Web Of Science, Arunkumar V R

Library Philosophy and Practice (e-journal)

For investigating the structure and process of academic communication, bibliometrics provides an excellent set of methodologies and measures. Web 3.0 is a concept that incorporates artificial intelligence and other advanced technologies and brings forth new opportunities and challenges to information scientists. The present study provides an evaluation of the scientific productivity related to Web 3.0 technologies in Web of Science (WoS) during the period of 2007 to 2020. The country-wise distribution of the literature revealed that the majorities (22.330%) of the documents were published from the USA, followed by Spain, and scholarly output of Web 3.0 literature received a total …

Development Of A Reference Design For Intrusion Detection Using Neural Networks For A Smart Inverter, Ammar Mohammad Khan

Graduate Theses and Dissertations

The purpose of this thesis is to develop a reference design for a base level implementation of an intrusion detection module using artificial neural networks that is deployed onto an inverter and runs on live data for cybersecurity purposes, leveraging the latest deep learning algorithms and tools. Cybersecurity in the smart grid industry focuses on maintaining optimal standards of security in the system and a key component of this is being able to detect cyberattacks. Although researchers and engineers aim to design such devices with embedded security, attacks can and do still occur. The foundation for eventually mitigating these attacks …

Interrelation Of Thermal Stimulation With Haptic Perception, Emotion, And Memory, Mehdi Hojatmadani

USF Tampa Graduate Theses and Dissertations

Haptics is an interdisciplinary field of science that deals with how humans perceive and respond to different sensory cues perceived through touch. Thermal haptics as a branch deals with how humans perceive the temperature sensation and respond to that. The process in which thermal perception occurs is well known to researchers. What seems missing in the literature is how temperature interacts or sometimes intervenes in other physiological and psychological aspects of our lives. In this research, a series of studies are presented where the main focus was how temperature and brain interact with each other to impede or enhance our …

Vibransee: Enabling Simultaneous Visible Light Communication And Sensing, Ila Nitin Gokarn, Archan Misra

Research Collection School Of Computing and Information Systems

Driven by the ubiquitous proliferation of low-cost LED luminaires, visible light communication (VLC) has been established as a high-speed communications technology based on the high-frequency modulation of an optical source. In parallel, Visible Light Sensing (VLS) has recently demonstrated how vision-based at-a-distance sensing of mechanical vibrations (e.g., of factory equipment) can be performed using high frequency optical strobing. However, to date, exemplars of VLC and VLS have been explored in isolation, without consideration of their mutual dependencies. In this work, we explore whether and how high-throughput VLC and high-coverage VLS can be simultaneously supported. We first demonstrate the existence of …

Addressing The ‘Unseens’: Digital Wellbeing In The Remote Workplace, Holtjona Galanxhi, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

The ubiquity of sophisticated devices, along with uninterrupted access to the Internet and organizational computerized systems, allows for the “anyplace” workplace to be established. Technology has the potential to deliberately or inadvertently impact psychological wellbeing. Specific psychological demands are inadvertently imposed on remote employees whose permanent online presence is required. Hence, it is important to understand factors affecting digital wellbeing and steps that can be taken to maximize the wellbeing of remote employees. This paper provides suggestions for future research on studying the digital wellbeing of (fully or partially) remote employees. A research framework is proposed to demonstrate the different …

Data-Driven Studies On Social Networks: Privacy And Simulation, Yasanka Sameera Horawalavithana

USF Tampa Graduate Theses and Dissertations

Social media datasets are fundamental to understanding a variety of phenomena, such as epidemics, adoption of behavior, crowd management, and political uprisings. At the same time, many such datasets capturing computer-mediated social interactions are recorded nowadays by individual researchers or by organizations. However, while the need for real social graphs and the supply of such datasets are well established, the flow of data from data owners to researchers is significantly hampered by privacy risks: even when humans’ identities are removed, or data is anonymized to some extent, studies have proven repeatedly that re-identifying anonymized user identities (i.e., de-anonymization) is doable …

Web Services In Cloud Computing Research: Insights From Scientometric, Sivankalai S, Virumandi A

Library Philosophy and Practice (e-journal)

The research is the outcome of the investigation of 4035 papers on web services and cloud study, as covered in the Web of Knowledge core collection database during 2010 - 2019, going through an overall group author contribution of 29.00% during the period, Iosup, Alexandru, et al with a citation impact per paper of 44.10% and a journal impact per paper of 5.768 by Future generation computer systems-the international journal of science. The world's web services and cloud research output is diverse, with the top three open access research journals accounting for 66.59% (All Open Access 44.03%, DOAJ Gold 17.41%, …

Fasten: An Iot Platform For Supply Chain Management In A Covid-19 Pandemic Scenario, Fernando Lemos, Thays Do Nascimento, Gustavo Dalmarco

Markets, Globalization & Development Review

This paper points out the major disruptions caused by the COVID-19 pandemic. It proposes an automated Internet-of-Things (IoT) based manufacturing and supply chain system, termed FASTEN, that can deal with such severe disruptions.

Hydration Automation: Smart Tank, Peter Ferguson

Computer Science and Engineering Master's Theses

Agriculture is a huge field that can benefit from Internet of Things (IoT) with many solutions focused around the monitoring and management of water in irrigation or storage systems. Different types of sensors to measure water quality, amount, flow and pressure are used to monitor the health of these systems and actuators are deployed like pumps or valves to manage the water in theses systems. The Hydration Automation (HA) automated water monitoring and management system utilizes low cost, small form factor, and sustainable Sensing Units (SUs) to collect water level reading of water storage systems through the use of an …

Research Of Super-Resolution Processing Of Invoice Image Based On Generative Adversarial Network, Xinli Li, Changming Zou, Guotian Yang, Liu He

Journal of System Simulation

Abstract: Automatic identification of invoices can effectively improve financial efficiency. But low-resolution invoice image reduces the accuracy of automatic identification, an ESRGAN (Encoder Super-resolution Generative Adversarial Network) network for super-resolution processing of invoice images is proposed. The ESRGAN network is based on a conditional generative adversarial network. An auxiliary encoder is designed to guide the network to generate a more realistic super-resolution image. Based on the actual invoice image, the ESRGAN network and the conventional image processing, SRCNN (Super-resolution Convolutional Neural Networks) network and SRGAN (Super-resolution Generative Adversarial Network) network. The model is evaluated through two evaluation indicators of peak …

Virtual Training System For Spacecraft Maintenance Based On Desktop Virtual Reality, Shisong Wei, Zhengdong Zhou, Xuling Zhang, Mao Ling, Junshan Jia, Chuanle Liu

Journal of System Simulation

Abstract: In order to shorten the training period of aerospace maintenance personnel and improve their operation proficiency, a spacecraft maintenance simulation system based on the desktop virtual reality technology is designed and developed. It is superior to the head-mounted display, which is bulky, isolated from the real world, easy to make users dizzy and hard to be shared. The assembly management scheme based on XMind and SqlServer database is proposed to realize the visualization of assembly rule editing, which makes assembly and disassembly flexible and convenient.

Deep Peak-Shaving Transformation Planning Of Thermal Power Units Based On Approximate Dynamic Programming, Weiqing Sun, Song He, Han Dong, Kunpeng Tian

Journal of System Simulation

Abstract: The generation of renewable energy has great randomness. The lack of flexibility of thermal power unit leads to the problem of peak adjustment. Three reformation schemes for thermal power units, including the thermal power unit internal transformation, configurating energy storage, and joint transformation of the two are proposed. Taking into account the additional cost of thermal powerunit in the deep peak regulation, the planning model of thermal power units depth peak-shaving transformation considering the unit combination is proposed, and the strategy iteration approximate dynamic programming algorithm to decouple the model is presented. The “curses of dimensionality” can be avoided …

Dynamic Control Of Twin-Workshop Model Of Circuit Breaker Considering Takt Time Constraints, Shu Liang, Zhang Jie, Yanfang Yang, Yang Miao, Ziran Wu

Journal of System Simulation

Abstract: The production takt time greatly impact on the twin system modeling of assembly line. A dynamic control method of the twin workshop model is proposed, which considers the takt time constraints is proposed. Detecting the motion of the circuit breaker unit and the assembly line system, and the dynamic motion model of the circuit breaker twins are developed based on the takt time calculation. Through driving force loading, motion logic script controlling and switching, the twin mapping of the assembly line system is realized with fixed and flexible takt time as well. The circuit breaker’s directional bounding boxes and …

Prediction Method For Health Degree Of Front Bearing Of Wind Turbine Generator And Implementation, Yin Shi, Guolian Hou, Chi Yan, Linjuan Gong, Xiaodong Hu

Journal of System Simulation

Abstract: Aiming at the deterioration trend of front bearing of doubly-fed wind turbine generator, a new combined modeling method is proposed to predict health degree of front bearing of generator. The GMM is used to identify operating conditions of wind turbines. The temperature model of front bearing based on ELM is established respectively in each sub-condition. Combining with temperature residual characteristics and time-frequency characteristics of vibration signal, the health degree of front bearing is calculated. Based on attention mechanism, the Bi-LSTM neural network is proposed to model and predict health degree of front bearing. The result shows that the …

Development Of Semi-Physical Simulation Platform For Monitoring Municipal Solid Waste Incineration Process, Aijun Yan, Xia Heng, Xizhi Liu

Journal of System Simulation

Abstract: In order to research and test the modeling, control and optimization of MSW (Municipal Solid Waste) incineration process, a semi-physical simulation platform with three-layer structure by combining the physical control system with the virtual object is developed. The physical control system of the platform is composed of an intelligent control optimization layer and basic control layer; and the virtual object layer includes simulated instrument, actuator and incineration process model. The software for man-machine interface with OPC (Object Linking and Embedding (OLE) for Process Control), equipment/parameter monitoring, and incineration process model are developed. The functions of intelligent control optimization layer …

Design Of Lvc Simulation Test Middleware For Saas, Du Nan, Yaxin Tan

Journal of System Simulation

Abstract: LVC (Live-Virtual-Constructive) technology provides a new technical means for equipment test. In view of the large number of heterogeneous simulation resource objects and complex interaction in the LVC system test, which can not meet the test task requirements of quick response of the weapon system, the middleware and application model framework is reformed according to the remote method invocation based on TENA. The functional modules of LVC simulation middleware including model running component, publishing and ordering component, message processing component and real-time running component are designed to provide efficient real-time communication mechanism for LVC simulation and support the application …

Research On Component-Based Modeling Of Simulation Entity For Logistics And Equipment Support, Cao Qi, Qun Xiang, Wenzheng Wang

Journal of System Simulation

Abstract: There has been a lack of efficient and advanced simulation training means and systems for logistics and equipment support. Aiming at the characteristics of non-antagonism, uncertainty, timeliness, parallelism and discontinuity in the simulation of support operation, the abstraction of three entities, three interaction relations and three organization relations is put forward. By using component-based modeling, the entity for logistics and equipment support is further decomposed into several attribute components and behavior components for modeling, which effectively solves the problem of entity modeling in simulation training of support operation. In this way, the conceptual modeling tool, simulation model …

Research On Intrusion Detection Based On Stacked Autoencoder And Long-Short Memory, Lin Shuo, An Lei, Zhijun Gao, Shan Dan, Wenli Shang

Journal of System Simulation

Abstract: As network attacks increasingly hidden, intelligent and complex. Simple machine learning cannot deal with attacks timely. A deep learning method based on the combination of SDAE and LSTM is proposed. Firstly, the distribution rules of network data are extracted intelligently layer by layer by SDAE, and the diverse anomaly features of high-dimensional data ate extracted by using coefficient penalty and reconstruction error of each coding layer. Then, LSTM’ s memory function and the powerful learning ability of sequence data are used to classify learning depth. Finally, the experiments are carried out with the UNSW-NB15 data set, which is analyzed …

Technical Characteristics Of Digital Twins And Application Prospects In The Field Of Flight Testing, Liu Yu, Xie Qiang

Journal of System Simulation

Abstract: For the application of digital twins in flight tests, the connotation and technical characteristics of digital twins were studied and analyzed. Six flight test digital twins typical application scenarios, such as the requirements development and overall planning of flight test, the flight test mission designing, the integrated testing and modification of flight test, the flight test organization and implementation, the fast maintenance and support and the training of flight test engineers have been designed by mapping the behavior and performance of flight test objects. The synchronize updates, parallel validation and spiral evolution were achieved between the digital models …

Simulation On The Development Of Residential Distributed Photovoltaic Power Generation Under The Declining Trend Of Feed-In-Tariff, Libo Zhang, Lulu Ge, Changqi Chen, Mingduan Tang

Journal of System Simulation

Abstract: Residential Distributed Photovoltaic Generation (R-DPVG) has become the important developing force of PV generation in China. As the declining of Feed-in-Tariff (FIT), system dynamics method is used to construct a causal loop model for R-DPVG’s development, and relevant factors and their feedback mechanism are qualitatively analyzed. Then a stock-flow model is build, and the ROI, installed capacity, and policy subsidy costs of R-DPVG are simulated under some combined scenarios based on declining FIT. The simulation proves R-DPVG’s FIT will be reduced to 0.05 ~ 0.1 yuan/(kW?h) in the next three years till cancelled. FIT cutting amplitude, capacity and targets …

Energy Management Of Marine Current Power Generation System Based On Fuzzy Logical Control, Jingang Han, Li Xu

Journal of System Simulation

Abstract: The fluctuation of marine current velocity leads to the fluctuation of power generation. The hybrid energy storage system composed of vanadium redox flow battery and super capacitor is used to improve the power quality and smooth the marine current power generation. With the research and commercialization of large scale power marine current power generation system, the capacity of energy storage system has been increasing. To reduce the rated capacity of super capacitor banks in energy storage system, an energy management strategy based on low-pass filter optimization algorithm of fuzzy control is proposed and the simulation model of 3 MW …