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Multicommodity Flow Modeling for the Data Transmission Scheduling Problem in Navigation Satellite systems

Complex System Modeling and Simulation 2021年第3期1卷 232-241页

作者： Jungang Yan Lining Xing Chao Li Zhongshan Zhang the College of Systems Engineering National University of Defense TechnologyChangsha 410073China Department of Computer Science KU LeuvenKortrijk 8500Belgium

Introducing InterSatellite Links(ISLs)is a major trend in new-generation Global Navigation Satellite systems(GNSSs).Data transmission scheduling is a crucial problem in the study of ISL *** existing research on intersatellite data transmission has not considered the capacities of ISL ***,the current study is the first to describe the intersatellite data transmission scheduling problem with capacity restrictions in GNSSs.A model conversion strategy is designed to model the aforementioned problem as a length-bounded single-path multicommodity flow *** integer programming model is constructed to minimize the maximal sum of flows on each intersatellite edge;this minimization is equivalent to minimizing the maximal occupied ISL *** iterated tree search algorithm is proposed to resolve the problem,and two ranking rules are designed to guide the *** based on the BeiDou satellite constellation are designed,and results demonstrate the effectiveness of the proposed model and algorithm.

关键词： intersatellite link navigation satellite system data transmission multicommodity flow tree search

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A Hybrid Particle Swarm Optimization to Forecast Implied Volatility Risk

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computers, Materials & Continua 2022年第11期73卷 4291-4309页

作者： Kais Tissaoui Sahbi Boubaker Waleed Saud Alghassab Taha Zaghdoudi Jamel Azibi University of Ha’il Applied CollegeHail CitySaudi Arabia University of Tunis El Manar Faculty of Economic Sciences and Management of Tunisthe International Finance GroupTunisTunisia Department of Computer and Network Engineering College of Computer Science and EngineeringUniversity of JeddahJeddah21959Saudi Arabia Research Unit on Study of Systems and Renewable Energy National College of Engineering of MonastirUniversity of MonastirMonastirTunisia LAREQUAD&FSEGT University of Tunis El ManarTunisTunisia University of Jendouba Law FacultyManagement and Economic Sciences of JendoubaTunisia

The application of optimization methods to prediction issues is a continually exploring *** line with this,this paper investigates the connectedness between the infected cases of COVID-19 and US fear index from a forecasting *** complex characteristics of implied volatility risk index such as non-linearity structure,time-varying and nonstationarity motivate us to apply a nonlinear polynomial Hammerstein model with known structure and unknown *** use the Hybrid Particle Swarm Optimization(HPSO)tool to identify the model parameters of nonlinear polynomial Hammerstein *** indicate that,following a nonlinear polynomial behaviour cascaded to an autoregressive with exogenous input(ARX)behaviour,the fear index in US financial market is significantly affected by COVID-19-infected cases in the US,COVID-19-infected cases in the world and COVID-19-infected cases in China,*** performance indicators provided by the developed models show that COVID-19-infected cases in the US are particularly powerful in predicting the Cboe volatility index compared to COVID-19-infected cases in the world and China(MAPE(2.1013%);R2(91.78%)and RMSE(0.6363 percentage points)).The proposed approaches have also shown good convergence characteristics and accurate fits of the data.

关键词： Forecasting Cboe’s volatility index COVID-19 pandemic nonlinear polynomial hammerstein model hybrid particle swarm optimization

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TAJ: A Platform for Integrating Tumor Detection and Depth Perception for Endoscopic Surgery

TAJ: A Platform for Integrating Tumor Detection and Depth Pe...

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International Symposium on Medical Robotics (ISMR)

作者： Ali Fakhry Thaison Le Junzhe Zhang Rui Li The Department of Computer Science Flexible AI-enabled Mechatronics Systems Lab (FAMS) Courant Institute of Mathematical Sciences New York University Manhattan NY The Department of Computer Science Flexible AI-enabled Mechatronics Systems Lab (FAMS) Tandon School of Engineering New York University Brooklyn NY Department of Mechanical Engineering Flexible AI-enabled Mechatronics Systems Lab (FAMS) The Vertically Integrated Projects (VIP) Tandon School of Engineering New York University Brooklyn NY

ISBN: (数字)9798350377118

ISBN: (纸本)9798350377125

Surgery for lung cancer requires precision and efficiency, with computer-aided systems displaying signs for enhancing these areas. Yet, the availability of software-based tools to assist in such surgeries remains limited. This paper proposes a collection of software-based tools that will address this issue. This collection includes tumor-detection, a custom depth-estimation algorithm, and a custom user-interface (TAJ) that stores and displays information in real time. Tumors would be detected using YOLOv5, an object detection model, with a confidence baseline of 0.75. This baseline was estab-lished to maximize precision while maintaining a satisfactory recall-which the test results show in a 95.5 % precision and 85.3 % recall. To estimate relative depth, two main approaches were utilized. The first was relative depth estimation using a popular collection of monocular depth algorithm-MiDaS. The three algorithms within MiDaS that were used were “MiDaS-Small,” “DPT-Hybrid,” and “DPT-Large.” The second approach relied on using the detected tumor's frame size in comparison to the dimensions of the camera's feed, with the results being normalized using a modified sigmoid function. This custom algorithm showed a positive trend between real depth and relative depth throughout the domain of the test, whereas the tests with MiDaS did not exhibit as strong of a correlation. Additionally, the custom algorithm was 1.48, 2.97, and 4.33 times quicker than the MiDaS-Small, DPT-Hybrid, and DPT-Large associated algorithms, respectively. The custom user interface was built using Python's Tkinter library, with the live graph being generated using Matplotlib. Thus, this research offers a data-driven solution to enhancing surgery by providing an easy-to-use user interface that offers depth and detection information to surgeons.

关键词： YOLO Correlation Accuracy Systematics Surgery Estimation User interfaces

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OSM: Leveraging model checking for observing dynamic 1 behaviors in aspect-oriented applications

arXiv

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arXiv 2024年

作者： AlSobeh, Anas Mohammad Ramadan Department of Information Systems Faculty of Information Technology and Computer Science Yarmouk University Irbid Jordan Program of Information Technology School of Computing College of Engineering Computing Technology and Mathematics Southern Illinois University CarbondaleIL United States

In the intricate domain of software systems verification, dynamically model checking multifaceted system characteristics remains paramount, yet challenging. This research proposes the advanced observe-based statistical model-checking (OSM) framework, devised to craft executable formal models directly from foundational system code. Leveraging model checking predicates, the framework melds seamlessly with aspect-oriented programming paradigms, yielding a potent method for the analytical verification of varied behavioral attributes. Exploiting the transformative capacity of OSM framework, primary system code undergoes a systematic metamorphosis into multifaceted analysis constructs. This not only simplifies the model verification process but also orchestrates feature interactions using an innovative observing join point abstraction mechanism. Within this framework, components encompassing parsing, formal verification, computational analytics, and rigorous validation are intrinsically interwoven. Marrying the principles of model checking with aspect-oriented (AO) modularization, OSM framework stands as a paragon, proficiently scrutinizing and affirming system specifications. This ensures the unyielding performance of electronic health record systems amidst shifting preconditions. OSM framework offers runtime verification of both object-oriented and AO deployments, positioning itself as an indispensable open-source resource, poised to automate the enhancement of system performance and scalability. Copyright © 2024, The Authors. All rights reserved.

关键词： Aspect oriented programming

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Development of an Interactive Map Within the Implementation of Actual State and Public Directions 12

Development of an Interactive Map Within the Implementation ...

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12th International Conference on Advanced computer Information Technologies, ACIT 2022

作者： Lupei, Maksym Shlahta, Myroslav Mitsa, Oleksandr Horoshko, Yurii Tsybko, Hanna Gorbachuk, Vasyl Institute of Cybernetics of National Academy of Sciences of Ukraine Department of Intellectual Information Technologies Kyiv Ukraine Lviv National University Department of Ukrainian Geographics Lviv Ukraine Uzhhorod National University Department of Informative and Operating Systems and Technologies Uzhhorod Ukraine Taras Shevchenko National University 'Chernihiv Colehium' Department of Computer Science and Computer Engineering Chernihiv Ukraine

ISBN: (数字)9781665410502

ISBN: (纸本)9781665466479

The problem of developing an effective way to display selected dynamic information of geographical content on an interactive map is being investigated. Various approaches to solving this problem are analyzed, including the use of Python programming language. Pointing out their advantages and disadvantages, the paper proposes an approach that allows one to complete the task in full with high efficiency and low cost of time and human resources. It is based on a model that uses a Data science methodology of five stages: obtaining primary data, data processing, necessary calculations, visualization creating and visualization disseminating. As a source of data there were used open data from the web portal 'Diia', developed by the Ministry of Digital Transformation of Ukraine, and data from the Institute of National Memory. The processing of the data was as follows: each toponym was assigned a localization binding and it was determined whether it falls under the law on decommunization or not. The processed data were visualized using the Google Maps web mapping service. Each non-decommunized object was marked on the map. The interactive map is integrated into the Analitycs-UA web portal. © 2022 IEEE.

关键词： Geographic information systems

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Dynamic programming Algorithm using Furniture Industry 0/1 Knapsack Problem

Dynamic Programming Algorithm using Furniture Industry 0/1 K...

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International Conference on Cybernetics and Intelligent System (ICORIS)

作者： Mietha Anditta Natashya Amartya Laurens Spits Warnars Harco Leslie Hendric Spits Warnars Arief Ramadhan Teddy Siswanto Teddy Mantoro Nurulhuda Noordin Computer Science Departement School of Computer Science Bina Nusantara University Jakarta Indonesia Information Systems Departement School of Information Systems Bina Nusantara University Jakarta Indonesia Computer Science Departement BINUS Graduate Program - Computer Science Bina Nusantara University Jakarta Indonesia PJJ Informatika Telkom University Bandung Indonesia Information Systems Department Trisakti University Jakarta Indonesia Faculty of Engineering and Technology Sampoerna University Jakarta Indonesia School of Computing Sciences College of Computing Informatics and Mathematics Universiti Teknologi MARA Selangor Malaysia

Dynamic programming is a fundamental algorithm that can be found in our daily lives easily. One of the dynamic programming algorithm implementations consists of solving the 0/1 knapsack problem. A 0/1 knapsack problem can be seen from industrial production cost. It is prevalent that a production cost has to be as efficient as possible, but the expectation is to get the proceeds of the products higher. Thus, the dynamic programming algorithm can be implemented to solve the diverse knapsack problem, one of which is the 0/1 knapsack problem, which would be the main focus of this paper. The implementation was implemented using C language. This paper was created as an early implementation algorithm using a Dynamic program algorithm applied to an Automatic Identification System (AIS) dataset.

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Electronic-photonic quantum systems on-chip

Electronic-photonic quantum systems on-chip

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Quantum 2.0, QUANTUM 2022

作者： Wang, Imbert Ramesh, Anirudh Kramnik, Danielius Fargas Cabanillas, Josep M. Stojanović, Vladimir Kumar, Prem Popović, Miloš A. Department of Electrical and Computer Engineering Photonics Center Boston University BostonMA02215 United States Graduate Program in Applied Physics Northwestern University EvanstonIL60208 United States Department of Electrical Engineering and Computer Science UC Berkeley BerkeleyCA94720 United States Center for Photonic Communication and Computing Dept. of Electrical and Computer Eng. Northwestern University EvanstonIL60208 United States

We present progress towards realizing electronic-photonic quantum systems on-chip;particularly, entangled photon-pair sources, placing them in the context of previous work, and outlining our vision for mass-producible... 详细信息

ISBN: (纸本)9781957171111

关键词： Quantum entanglement

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HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets

HTPS: Heterogeneous Transferring Prediction System for Healt...

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Euromicro Conference on Parallel, Distributed and Network-Based Processing

作者： Jia-Hao Syu Jerry Chun-Wei Lin Marcin Fojcik Rafał Cupek Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Sciences Bergen Norway Department of Distributed Systems and Informatic Devices Silesian University of Technology Gliwice Poland

Medical internet of things leads to revolutionary improvements in medical services, also known as smart healthcare. With the big healthcare data, data mining and machine learning can assist wellness management and intelligent diagnosis, and achieve the P4-medicine. However, healthcare data has high sparsity and heterogeneity. In this paper, we propose a Heterogeneous Transferring Prediction System (HTPS). Feature engineering mechanism transforms the dataset into sparse and dense feature matrices, and autoencoders in the embedding networks not only embed features but also transfer knowledge from heterogeneous datasets. Experimental results show that the proposed HTPS outperforms the benchmark systems on various prediction tasks and datasets, and ablation studies present the effectiveness of each designed mechanism. Experimental results demonstrate the negative impact of heterogeneous data on benchmark systems and the high transferability of the proposed HTPS.

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Comparison of Cellular Network Controllers for Quadrotors Experiencing Time Delay

Comparison of Cellular Network Controllers for Quadrotors Ex...

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Mediterranean Conference on Control and Automation (MED)

作者： Mohammad T. Ramezanlou Howard Schwartz Ioannis Lambadaris Michel Barbeau Department of Systems and Computer Engineering Carleton University Ottawa Canada School of Computer Science Carleton University Ottawa Canada

ISBN: (数字)9781665406734

ISBN: (纸本)9781665406741

This paper presents a control framework including delay estimator, state estimator, and controller to compensate for random time delays in cellular networks. The effect of network delay on the control of a quadrotor is investigated. A comparative study is done between a linear-based PD and nonlinear Backstepping controller. A time delay estimator based on the Markov stochastic model is developed. The combination of the time delay estimator and the state estimator is used to compute the control signal. Results show that the performance of both controllers in low-variation delays is approximately equivalent. According to the results, the linear-based PD controller is a good choice since it satisfies the problem conditions with a more straightforward design process.

关键词： Cellular networks Backstepping Delay effects Process control Markov processes Position measurement Time measurement

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Outage, Capacity, and Error Performance of Downlink RSMA-based systems: Analysis and Resource Optimization

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IEEE Transactions on Communications 2025年

作者： Vu, Thai-Hoc Da Costa, Daniel Benevides Kim, Sunghwan Pham, Quoc-Viet University of Ulsan Department of Electrical Electronic and Computer Engineering Ulsan Korea Republic of Interdisciplinary Research Center for Communication Systems and Sensing Department of Electrical Engineering Dhahran31261 Saudi Arabia Kyonggi University School of Electronic Engineering Kyonggi Korea Republic of University of Dublin School of Computer Science and Statistics Trinity College Dublin Dublin 2 D02PN40 Ireland

This paper comprehensively investigates the performance of downlink multi-user rate-splitting multiple access (RSMA) networks under Nakagami-m fading channels. We first develop the mathematical outage probability (OP) and ergodic capacity (EC) frameworks, deriving exact expressions for both, along with asymptotic analysis in high signal-to-noise ratio (SNR) and low-rate regions, which serve as the foundation for deducing the approximate and maximal energy-reliability and energy-spectral formulas. To enhance system performance, we tackle the non-convex problems of jointly optimizing common and private power allocation (PA) coefficients to minimize the maximal OP performance. Moreover, we also delve into optimizing PA coefficients and rate-splitting factors concurrently to maximize the ergodic sum capacity (ESC). Addressing the influence of modulation schemes on user error rates, we introduce mathematical frameworks for symbol error rate (SER) considering four combined modulation schemes based on binary phase-shift keying (BPSK) and quadrature-phase shift keying (QPSK), the whole cases are quantified in terms of exact and asymptotic manners. Furthermore, we present a straightforward approach to optimize the PA coefficients to minimize the maximal SER performance. Finally, Monte-Carlo simulations are presented to validate our developed frameworks and optimization solutions. © 1972-2012 IEEE.

关键词： Signal to noise ratio

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