Exploring The Efficiency Of Self-Organizing Software Teams With Game Theory,
2021
University of Nebraska - Lincoln
Exploring The Efficiency Of Self-Organizing Software Teams With Game Theory, Clay Stevens, Jared Soundy, Hau Chan
School of Computing: Conference and Workshop Papers
Over the last two decades, software development has moved away from centralized, plan-based management toward agile methodologies such as Scrum. Agile methodologies are founded on a shared set of core principles, including self-organizing software development teams. Such teams are promoted as a way to increase both developer productivity and team morale, which is echoed by academic research. However, recent works on agile neglect to consider strategic behavior among developers, particularly during task assignment–one of the primary functions of a self-organizing team. This paper argues that self-organizing software teams could be readily modeled using game theory, providing insight into how agile …
Method And System For Region Proposal Based Object Recognition For Estimating Planogram Compliance,
2021
Tata Consultancy Services Ltd
Method And System For Region Proposal Based Object Recognition For Estimating Planogram Compliance, Avishek Kumar Shaw, Rajashree Ramakrishnan, Shilpa Yadukumar Rao, Pranoy Hari, Dipti Prasad Mukherjee, Bikash Santra
Patents
This disclosure relates generally to a system and method to identify various products on a plurality of images of various shelves of a retail store to facilitate compliance with respect to planograms. Planogram is a visual plan, which designates the placement of products on shelves and merchandising display fixtures of a retail store. Planograms are used to create consistency between store locations, to provide proper shelf space allocation, to improve visual merchandising appeal, and to create product-pairing suggestions. There are a few assumptions considering one instance per product class is available beforehand and the physical dimension of each product template …
Differential Privacy For Industrial Internet Of Things: Opportunities, Applications And Challenges,
2021
Shenzhen University
Differential Privacy For Industrial Internet Of Things: Opportunities, Applications And Challenges, Bin Jiang, Houbing Song, Jianqiang Li, Guanghui Yue
Publications
The development of Internet of Things (IoT) brings new changes to various fields. Particularly, industrial Internet of Things (IIoT) is promoting a new round of industrial revolution. With more applications of IIoT, privacy protection issues are emerging. Specially, some common algorithms in IIoT technology such as deep models strongly rely on data collection, which leads to the risk of privacy disclosure. Recently, differential privacy has been used to protect user-terminal privacy in IIoT, so it is necessary to make in-depth research on this topic. In this paper, we conduct a comprehensive survey on the opportunities, applications and challenges of differential …
A Bibliometric Analysis Of Plant Disease Classification With Artificial Intelligence Based On Scopus And Wos,
2021
Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University) (SIU), Pune, India
A Bibliometric Analysis Of Plant Disease Classification With Artificial Intelligence Based On Scopus And Wos, Shivali Amit Wagle, Harikrishnan R
Library Philosophy and Practice (e-journal)
The maneuver of Artificial Intelligence (AI) techniques in the field of agriculture help in the classification of diseases. Early prediction of the disease benefits in taking relevant management steps. This is an important step towards controlling the disease growth that will yield good quality products to fulfill the global food demand. The main objective of this paper is to study the extent of research work done in this area of plant disease classification. The paper discusses the bibliometric analysis of plant disease classification with AI in Scopus and Web of Science core collection (WOS) database in analyzing the research by …
A Bibliometric Analysis Of Distributed Incremental Clustering On Images,
2021
Ph.D. Guide and Associate Professor, Symbiosis Institute of Technology (SIT) affiliated to Symbiosis International (Deemed University), Pune, India.
A Bibliometric Analysis Of Distributed Incremental Clustering On Images, Ayushi Agrawal, Preeti Mulay, Krithika Iyer, Saloni Sarbhai
Library Philosophy and Practice (e-journal)
Unstructured information is continuously irregular and streaming information from such a sequence is tedious because it lacks labels and accumulates with time. This is possible using Incremental Clustering algorithms that use previously learned information to accommodate new data and avoid retraining. This paper therefore seeks to understand the status of "Distributed Incremental Clustering" on images with text and numerical values, its limitations, scope, and other details to devise a better algorithm in future. To further enhance the analysis, we have also included methodology, which can be used to perform clustering on images or documents based on its content.
Parking Recommender System Privacy Preservation Through Anonymization And Differential Privacy,
2021
Telecom SudParis
Parking Recommender System Privacy Preservation Through Anonymization And Differential Privacy, Yasir Saleem Shaikh, Mubashir Husain Rehmani, Noel Crespi, Roberto Minerva
Publications
Recent advancements in the Internet of Things (IoT) have enabled the development of smart parking systems that use services of third-party parking recommender system to provide recommendations of personalized parking spot to users based on their past experience. However, the indiscriminate sharing of users’ data with an untrusted (or semitrusted) parking recommender system may breach the privacy because users’ behavior and mobility patterns could be inferred by analyzing their past history. Therefore, in this article, we present two solutions that preserve privacy of users in parking recommender systems while analyzing the past parking history using k-anonymity (anonymization) and differential privacy …
Sparc: Statistical Performance Analysis With Relevance Conclusions,
2021
Air Force Institute of Technology
Sparc: Statistical Performance Analysis With Relevance Conclusions, Justin C. Tullos, Scott R. Graham, Jeremy D. Jordan, Pranav R. Patel
Faculty Publications
The performance of one computer relative to another is traditionally characterized through benchmarking, a practice occasionally deficient in statistical rigor. The performance is often trivialized through simplified measures, such as the approach of central tendency, but doing so risks a loss of perspective of the variability and non-determinism of modern computer systems. Authentic performance evaluations are derived from statistical methods that accurately interpret and assess data. Methods that currently exist within performance comparison frameworks are limited in efficacy, statistical inference is either overtly simplified or altogether avoided. A prevalent criticism from computer performance literature suggests that the results from difference …
Fault Analysis And Debugging Of Microservice Systems: Industrial Survey, Benchmark System, And Empirical Study,
2021
Fudan University
Fault Analysis And Debugging Of Microservice Systems: Industrial Survey, Benchmark System, And Empirical Study, Xiang Zhou, Xin Peng, Tao Xie, Jun Sun, Chao Ji, Wenhai Li, Dan Ding
Research Collection School Of Computing and Information Systems
The complexity and dynamism of microservice systems pose unique challenges to a variety of software engineering tasks such as fault analysis and debugging. In spite of the prevalence and importance of microservices in industry, there is limited research on the fault analysis and debugging of microservice systems. To fill this gap, we conduct an industrial survey to learn typical faults of microservice systems, current practice of debugging, and the challenges faced by developers in practice. We then develop a medium-size benchmark microservice system (being the largest and most complex open source microservice system within our knowledge) and replicate 22 industrial …
Plasmonic Waveguides To Enhance Quantum Electrodynamic Phenomena At The Nanoscale,
2021
Nanjing University of Information Science and Technology
Plasmonic Waveguides To Enhance Quantum Electrodynamic Phenomena At The Nanoscale, Ying Li, Christos Argyropoulos
Department of Electrical and Computer Engineering: Faculty Publications
The emerging field of plasmonics can lead to enhanced light-matter interactions at extremely nanoscale regions. Plasmonic (metallic) devices promise to efficiently control both classical and quantum properties of light. Plasmonic waveguides are usually used to excite confined electromagnetic modes at the nanoscale that can strongly interact with matter. The analysis of these nanowaveguides exhibits similarities with their low frequency microwave counterparts. In this article, we review ways to study plasmonic nanostructures coupled to quantum optical emitters from a classical electromagnetic perspective. These quantum emitters are mainly used to generate single-photon quantum light that can be employed as a quantum bit …
Role Of Artificial Intelligence In The Internet Of Things (Iot) Cybersecurity,
2021
Old Dominion University
Role Of Artificial Intelligence In The Internet Of Things (Iot) Cybersecurity, Murat Kuzlu, Corinne Fair, Ozgur Guler
Engineering Technology Faculty Publications
In recent years, the use of the Internet of Things (IoT) has increased exponentially, and cybersecurity concerns have increased along with it. On the cutting edge of cybersecurity is Artificial Intelligence (AI), which is used for the development of complex algorithms to protect networks and systems, including IoT systems. However, cyber-attackers have figured out how to exploit AI and have even begun to use adversarial AI in order to carry out cybersecurity attacks. This review paper compiles information from several other surveys and research papers regarding IoT, AI, and attacks with and against AI and explores the relationship between these …
Quantifying The Impact Of Uncertainty In Embedded Systems Mapping For Noc Based Architectures,
2021
Marquette University
Quantifying The Impact Of Uncertainty In Embedded Systems Mapping For Noc Based Architectures, Wenkai Guan, Milad Ghorbani Moghaddam, Cristinel Ababei
Electrical and Computer Engineering Faculty Research and Publications
We describe a modeling framework to capture and account for uncertainty in design parameters in embedded systems. We then develop an uncertainty-aware solution to the problem of mapping in embedded systems that uses Network-on-Chip (NoC) based architecture platforms. The problem of mapping is formulated as a multi-objective - reliability, performance, and energy consumption - optimization problem. To solve this problem, we propose a solution based on the NSGA-II genetic algorithm and Monte Carlo simulation techniques. The solution is implemented as a computer-aid design tool that can generate robust 3D Pareto frontiers in the solution space formed by the design objectives …
Zynq System-On-Chip Dma Messaging For Processor Monitoring,
2021
Air Force Research Laboratory
Zynq System-On-Chip Dma Messaging For Processor Monitoring, Daniel F. Koranek, Douglas D. Hodson, Scott R. Graham
Faculty Publications
Xilinx Zynq-7000 System-on-Chip architectures combine an ARM Cortex-A9 core with an FPGA fabric. One benefit of this hybrid architecture is that it allows fast prototyping of designs where the security of either the processing system (PS) is monitored by the programmable logic (PL) or vice versa. The choice of implementing a design in the PS or PL is driven by cost-to-benefit analysis across many factors. This effort examines the design process required to construct security monitoring designs that use both the PS and PL. For background, this effort reviews similar security monitoring projects. For the effort, a PL peripheral was …
Enhanced Interest Aware Peoplerank For Opportunistic Mobile Social Networks,
2021
The American University in Cairo AUC
Enhanced Interest Aware Peoplerank For Opportunistic Mobile Social Networks, Yosra Saad Shahin
Theses and Dissertations
Network infrastructures are being continuously challenged by increased demand, resource-hungry applications, and at times of crisis when people need to work from homes such as the current Covid-19 epidemic situation, where most of the countries applied partial or complete lockdown and most of the people worked from home. Opportunistic Mobile Social Networks (OMSN) prove to be a great candidate to support existing network infrastructures. However, OMSNs have copious challenges comprising frequent disconnections and long delays. we aim to enhance the performance of OMSNs including delivery ratio and delay. We build upon an interest-aware social forwarding algorithm, namely Interest Aware PeopleRank …
Bibliometric Survey On Zero-Knowledge Proof For Authentication,
2021
Pimpri Chinchwad College of Engineering, Pune, India
Bibliometric Survey On Zero-Knowledge Proof For Authentication, Adwait Pathak, Tejas Patil, Shubham Pawar, Piyush Raut, Smita Khairnar, Dr. Shilpa Gite
Library Philosophy and Practice (e-journal)
Background: Zero Knowledge Proof is a persuasive cryptographic protocol employed to provide data security by keeping the user's identity, using the services anonymously. Zero Knowledge Proof can be the preferred option to use in multiple circumstances. Instead of using the public key cryptographic protocols, the zero-knowledge proof usage does not expose or leak confidential data or information during the transmission. Zero Knowledge Proof protocols are comparatively lightweight; this results in making it efficient in terms of memory. Zero Knowledge Proof applications can reside in authentication, identity management, cryptocurrency transactions, and many more. Traditional authentication schemes are vulnerable to attacks …
Automated Test Generation For Validating Systemc Designs,
2021
Portland State University
Automated Test Generation For Validating Systemc Designs, Bin Lin
Dissertations and Theses
Modern system design involves integration of all components of a system on a single chip, namely System-on-a-Chip (SoC). The ever-increasing complexity of SoCs and rapidly decreasing time-to-market have pushed the design abstraction to the electronic system level (ESL), in order to increase design productivity. SystemC is a widely used ESL modeling language that plays a central role in modern SoCs design process. ESL SystemC designs usually serve as executable specifications for the subsequent SoCs design flow. Therefore, undetected bugs in ESL SystemC designs may propagate to low-level implementations or even final silicon products. In addition, modern SoCs design often involves …
Estimating Remaining Useful Life In Machines Using Artificial Intelligence: A Scoping Review,
2021
Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed) University, Pune
Estimating Remaining Useful Life In Machines Using Artificial Intelligence: A Scoping Review, Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Anupkumar Bongale, Shruti Patil
Library Philosophy and Practice (e-journal)
The remaining useful life (RUL) estimations become one of the most essential aspects of predictive maintenance (PdM) in the era of industry 4.0. Predictive maintenance aims to minimize the downtime of machines or process, decreases maintenance costs, and increases the productivity of industries. The primary objective of this bibliometric paper is to understand the scope of literature available related to RUL prediction. Scopus database is used to perform the analysis of 1673 extracted scientific literature from the year 1985 to 2020. Based on available published documents, analysis is done on the year-wise publication data, document types, language-wise distribution of documents, …
Zooming Into The Pandemic! A Forensic Analysis Of The Zoom Application,
2021
University of New Haven
Zooming Into The Pandemic! A Forensic Analysis Of The Zoom Application, Andrew Mahr, Meghan Cichon, Sophia Mateo, Cinthya Grajeda, Ibrahim Baggili
Electrical & Computer Engineering and Computer Science Faculty Publications
The global pandemic of COVID-19 has turned the spotlight on video conferencing applications like never before. In this critical time, applications such as Zoom have experienced a surge in its user base jump over the 300 million daily mark (ZoomBlog, 2020). The increase in use has led malicious actors to exploit the application, and in many cases perform Zoom Bombings. Therefore forensically examining Zoom is inevitable. Our work details the primary disk, network, and memory forensic analysis of the Zoom video conferencing application. Results demonstrate it is possible to find users' critical information in plain text and/or encrypted/encoded, such …
Laser Vibrational Excitation Of Radicals To
Prevent Crystallinity Degradation Caused By
Boron Doping In Diamond,
2021
University of Nebraska-Lincoln
Laser Vibrational Excitation Of Radicals To Prevent Crystallinity Degradation Caused By Boron Doping In Diamond, L Fan, L Constantin, Z P. Wu, K A. Mcelveen, X G. Chen, F Wang, C Debiemme-Chouvy, B Cui, R Y. Lai, X Li, J F. Silvain, Y F. Lu
Department of Electrical and Computer Engineering: Faculty Publications
Pursuing high-level doping without deteriorating crystallinity is prohibitively difficult but scientifically crucial to unleashing the hidden power of materials. This study demonstrates an effective route for maintaining lattice integrity during the combustion chemical vapor deposition of highly conductive boron-doped diamonds (BDDs) through laser vibrational excitation of a growth-critical radical, boron dihydride (BH2). The improved diamond crystallinity is attributed to a laser-enabled, thermal nonequilibrium suppression of the relative abundance of boron hydrides (BH), whose excessive presence induces boron segregation and disturbs the crystallization. The BDDs show a boron concentration of 4.3 × 1021 cm−3, a film …
Evolutionary Simulation Of Online Public Opinion Based On The Bert-Lda Model Under Covid-19,
2021
1. School of Public Management, Xiangtan University, Xiangtan 411105, China; ;3. School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China; ;
Evolutionary Simulation Of Online Public Opinion Based On The Bert-Lda Model Under Covid-19, Muni Zhuang, Li Yong, Tan Xu, Taitian Mao, Kaicheng Lan, Lining Xing
Journal of System Simulation
Abstract: The construction of a large-scale online public opinion evolution simulation model has guidance value for differentiated emergency management and public opinion guidance in the worst-hit areas in Wuhan and the other areas in China during the outbreak of the COVID-19. In order to realize the fine-grained simulation of the public sentiment evolution of the topic, the LDA topic model is deeply integrated with BERT word vector to optimize the topic vector and power the text topic clustering. At the same time, on the basis of improving BERT pre-training task, the deep pre-training task is superimposed to improve the accuracy …
A Quantization-Based Integration Method For Stiff Ordinary Differential Equations,
2021
School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China;
A Quantization-Based Integration Method For Stiff Ordinary Differential Equations, Zhihua Li, Jiang De, Chenjia Wu, Zhihua Fan
Journal of System Simulation
Abstract: QSS(Quantized State System) has advantages over the traditional time-discrete integration methods in solving general ordinary differential equation (ODE) systems, but it is not suitable for solving the stiff ODE systems. To effectively solve the stiff ODE systems, a step-correction optimization algorithm based on QSS (SCOA based-on QSS) is proposed, which combines the ideas of the QSS method and the implicit trapezoidal integral method. The simulation results of three typical stiff ODE cases show that the SCOA based-on QSS algorithm has advantages over other algorithms, and the simulation accuracy can be significantly improved by appropriately reducing the quantum size.
