Article
Engineering, Civil
Melike Baykal-Gursoy, Andrew Reed Benton, Pedro Cesar Lopes Gerum, Marcelo Figueroa Candia
Summary: This study introduces a novel analytical model that accurately approximates the travel-time distribution of vehicles on a freeway corridor affected by non-recurrent incidents. By considering clearance time, incident frequency and severity, the model performs well and provides crucial information for long-term planning.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Mathematics
P-C G. Vassiliou
Summary: This paper introduces the stochastic process of non-homogeneous Markov system in a stochastic environment in continuous time. It examines the expected population structure of the system, the conditions for the asymptotic behavior of the population structure, and the rate of convergence.
Article
Engineering, Chemical
Sergey V. Kuchak, Sergey V. Brovanov
Summary: This paper investigates the characteristics of high-capacity lithium-iron-phosphate batteries under impulse and long-term operation modes with different discharge current levels, and proposes a modified DP model. The model is capable of calculating the activation polarization parameters for different discharge currents and estimating the state of charge of the battery.
Article
Computer Science, Interdisciplinary Applications
Michael D. Shields, Dimitris G. Giovanis, V. S. Sundar
Summary: The paper proposes the use of an affine invariant ensemble MCMC sampler for conditional sampling to address extreme cases where subset simulation breaks down. The algorithm automatically varies step size and is particularly effective for estimating failure probabilities in strongly non-Gaussian and lower effective dimension scenarios.
COMPUTERS & STRUCTURES
(2021)
Article
Engineering, Electrical & Electronic
Zihan Meng, Shouxiang Wang, Qianyu Zhao, Zhijie Zheng, Liang Feng
Summary: Reliability evaluation is crucial for electricity-gas-heat integrated energy systems. This paper focuses on user experience, introducing reliability modeling and evaluation indexes for energy consumption, highlighting the importance of considering user perspective in the evaluation process. The proposed method aims to improve the effectiveness of reliability evaluation for multi-energy consumption systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Mathematics, Applied
Kengo Matsumoto
Summary: This study focuses on examining several subgroups of continuous full groups of one-sided topological Markov shifts based on the cohomology groups of full group actions on shift spaces. The research also delves into continuous orbit equivalence and strongly continuous orbit equivalence in relation to these subgroups and cohomology groups.
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS
(2022)
Article
Energy & Fuels
Wenya Xu, Yanxue Li, Guanjie He, Yang Xu, Weijun Gao
Summary: This study proposes a model-based reinforcement learning approach to optimize the operation of zero-energy houses, considering PV generation consumption and energy costs. The proposed RL agents achieve fast convergence and demonstrate cost-effectiveness in scheduling operations of the hybrid energy system. The DDPG algorithm performs the best, outperforming rule-based operation by 7.2% in energy cost.
Article
Mathematics
Yacov Satin, Rostislav Razumchik, Ilya Usov, Alexander Zeifman
Summary: This paper investigates the approximate calculation method for the time-dependent probability characteristics of a possibly inhomogeneous Markov chain with continuous time and finite state space using perturbation theory. It shows that the approximate error can be measured by the taxicab distance between state probability distributions. The paper also demonstrates how to calculate the Cauchy operator and the state probability distribution for any initial condition, and provides numerical examples to illustrate the findings.
Article
Engineering, Chemical
Chu-Yun Cheng, Tsai-Hsuan Chen, Kuan-Yu Chen, Jinxing Ma, Chia-Hung Hou
Summary: This study utilized a redox-flow battery desalination (FBD) method with a four-channel cell architecture for electrochemical desalination at different salinity levels. By simultaneously generating desalted and brine streams in the diluted and concentrated chambers, continuous desalination was achieved without a discharge step. The use of a low constant voltage of 0.2 V successfully drove redox reactions for ion motion. Increasing the applied voltage enhanced the salt removal rate but resulted in higher energy consumption.
Article
Engineering, Mechanical
H. A. Jensen, D. J. Jerez, M. Beer
Summary: This paper focuses on general structural optimization problems with discrete-continuous design variables, using a Bayesian model updating approach to efficiently handle constraints and sensitivity analysis. Numerical examples demonstrate the effectiveness and potential of the method in reliability-based design optimization under stochastic excitation.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Statistics & Probability
Oren Mangoubi, Aaron Smith
Summary: The study provides quantitative bounds on the mixing properties of the ideal HMC Markov chain for a strongly log-concave target distribution, showing that the chain generates a sample with Wasserstein error ε in roughly O(κ^2 log(1/ε)) steps. This mixing bound is independent of the dimension d. The key argument in the study is the proof that initially parallel Hamiltonian trajectories contract over longer steps than predicted by previous heuristics based on the Jacobi manifold.
ANNALS OF APPLIED PROBABILITY
(2021)
Article
Engineering, Industrial
Hasan Rasay, Esmaeil Alinezhad
Summary: It is commonly discussed that acceptance sampling plans and life testing schemes based on sequential probability ratio test (SPRT) can decrease the cost and time of experiments/inspections. However, performing an SPRT-based life test involves complex computations, even for simple statistical distributions. To address this, a novel life test named ASPRT is developed, which can be easily adapted for different continuous distributions. Computational and comparative results show that ASPRT can effectively and efficiently conduct the life testing of different continuous distributions.
QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT
(2022)
Article
Electrochemistry
Katharina Schafner, Maik Becker, Thomas Turek
Summary: This study investigates the impact of vanadium crossover through the membrane on the capacity of VFB. A dynamic model based on different crossover mechanisms is developed and validated, showing that continuous overflow can significantly increase battery capacity. However, the stability of the electrolyte is crucial for performance even with good capacity enhancement.
JOURNAL OF APPLIED ELECTROCHEMISTRY
(2021)
Article
Thermodynamics
Xin Lai, Yunfeng Huang, Huanghui Gu, Xuebing Han, Xuning Feng, Haifeng Dai, Yuejiu Zheng, Minggao Ouyang
Summary: The study proposes an RDE estimation method based on future load prediction, using HMM to predict battery future load, conducting capacity tests at different temperatures, and updating battery model parameters online using the FFRLS algorithm to improve accuracy and robustness.
Article
Computer Science, Information Systems
Hasita Kaja, Rahul A. Paropkari, Cory Beard, Appie van de Liefvoort
Summary: This paper introduces a practical modeling approach using a Markov chain Matrix Exponential model, analyzing repair models for networks with multiple repair crews. The model considers the importance of both fast and slow repairs in the repair process, as well as the control of repair crew numbers, for designing more reliable networks.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Zakaria Benomar, Francesco Longo, Giovanni Merlino, Antonio Puliafito
Summary: Networking is crucial in cloud computing deployments. Deep integration between the Cloud and IoT is only achievable at the IaaS level. Network virtualization is a key enabler of infrastructure-oriented IoT deployments.
ACM TRANSACTIONS ON INTERNET TECHNOLOGY
(2022)
Article
Construction & Building Technology
Gaetano Bosurgi, Dario Bruneo, Fabrizio De Vita, Orazio Pellegrino, Giuseppe Sollazzo
Summary: Recently, the road industry has been transitioning towards big-data and Internet of Things concepts inspired by 'Industry 4.0'. Smart roads are using modern instrumented vehicles and sensor networks to provide useful data, but face challenges in data management and processing.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Chemistry, Analytical
Dario Bruneo, Fabrizio De Vita
Summary: The pervasive use of sensors and actuators in the Industry 4.0 paradigm has changed the way we interact with industrial systems. To effectively diagnose potentially harmful conditions, the combination of Artificial Intelligence and sensor data fusion techniques is proposed. This paper proposes an Echo State Network architecture for data fusion to detect faults in an industrial plant. Experimental results demonstrate the feasibility of the proposed approach and show that it offers the best trade-off in terms of precision, recall, F1-score, and inference time.
Article
Computer Science, Information Systems
Zakaria Benomar, Giuseppe Campobello, Antonino Segreto, Filippo Battaglia, Francesco Longo, Giovanni Merlino, Antonio Puliafito
Summary: This article proposes an architecture for industrial monitoring tasks based on the Fog computing paradigm, which utilizes a Fog layer to host a data aggregation algorithm based on singular value decomposition (SVD). Through a real-world case study on a distributed monitoring system for industrial motors using the OMNET++ simulator, the advantages of the proposed solution in terms of network performances, including latency and packet delivery ratio, are analyzed. Additionally, the system implements a set of security mechanisms at different levels (i.e., IWSN, Fog, and Cloud) and proposes a lightweight and energy-efficient ciphering algorithm for resource-constrained industrial motes.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Giuseppe Tricomi, Carlo Scaffidi, Giovanni Merlino, Francesco Longo, Antonio Puliafito, Salvatore Distefano
Summary: A Smart Factory utilizes ICT to improve production processes and address safety concerns. The implementation of a software-defined approach can effectively manage and coordinate the factory-level fire protection system, even during catastrophic events that may disrupt the ICT infrastructure.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Ashish Singh Patel, Giovanni Merlino, Antonio Puliafito, Ranjana Vyas, O. P. Vyas, Muneendra Ojha, Vivek Tiwari
Summary: This paper proposes a NLP-guided approach to generate an ontology for multimedia representation and information retrieval. By leveraging textual data, possible descriptions and actions are generated, and relations among objects are embedded as object properties and classes. The completeness and coverage of the ontology are demonstrated through comparison with existing multimedia ontologies and evaluation. Spatial reasoning rules are established using SWRL rules, and information retrieval is demonstrated using DL and SPARQL queries.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Chemistry, Analytical
Giovanni Cicceri, Giuseppe Tricomi, Luca D'Agati, Francesco Longo, Giovanni Merlino, Antonio Puliafito
Summary: The Internet of Things (IoT) is transforming various domains, including smart energy management. The concept of energy-aware distributed cyber-physical systems (DCPSs) integrates non-functional requirements with attributes for energy consumption. This research investigates and develops energy-aware architectural models and technologies for next-generation IoT-extended DCPSs, with a focus on optimizing renewable energy communities.
Proceedings Paper
Computer Science, Hardware & Architecture
Luca D'Agati, Zakaria Benomar, Francesco Longo, Giovanni Merlino, Antonio Puliafito
Summary: To fully utilize the potential of IoT, large-scale networks consisting of different IoT devices and smart systems need to be assembled. However, most current IoT deployments rely on proprietary technologies and tightly coupled systems, leading to interoperability issues. The Web of Things (WoT) paradigm aims to overcome this by integrating smart things into the Web, allowing them to interact through Web protocols and standards. This paper proposes a HATEOAS-enabled mechanism to discover IoT resources on an IoT node, enabling developers and users to discover available resources without prior knowledge.
2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC
(2023)
Article
Computer Science, Artificial Intelligence
Gennaro Tartarisco, Giovanni Cicceri, Roberta Bruschetta, Alessandro Tonacci, Simona Campisi, Salvatore Vitabile, Antonio Cerasa, Salvatore Distefano, Alessio Pellegrino, Pietro Amedeo Modesti, Giovanni Pioggia
Summary: This paper presents a Medical Cyber-Physical System (MCPS) for the automatic classification of heart valve diseases onsite. The proposed system combines different neural network models and has been validated on a new dataset, demonstrating high accuracy and feasibility.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Proceedings Paper
Engineering, Electrical & Electronic
Harshit Gupta, Dhairya Patel, Anurag Makade, Kapil Gupta, O. P. Vyas, Antonio Puliafito
Summary: In the business of Life Insurance, evaluating customer risk levels is crucial, and the emergence of Machine Learning has made this task easier. Insurance companies are adopting Machine Learning models and utilizing Federated Learning to collaborate and share data without compromising privacy. This study uses the Kaggle Prudential Life Insurance Assessment dataset and simulates different data distributions among clients using the Dirichlet Process. The results show the validity of the proposed approach.
2022 IEEE 21ST MEDITERRANEAN ELECTROTECHNICAL CONFERENCE (IEEE MELECON 2022)
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Giuseppe Tricomi, Zakaria Benomar, Francesco Longo, Giovanni Merlino, Antonio Puliafito
Summary: Advancements in edge computing and the rapid adoption of IoT devices have led to research in various fields including cyber-physical systems, smart environments, digital transformation, and Industry 4.0. However, researchers are constantly addressing the question of how to create realistic testbeds to verify solutions without assigning significant research funds. This paper introduces the concept of a platform that provides a distributed infrastructure to support IoT research, utilizing techniques such as containerization, network, I/O virtualization, and sensing and actuation-as-a-service.
2022 IFIP NETWORKING CONFERENCE (IFIP NETWORKING)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Nachiket Tapas, Sofia Belikovetsky, Francesco Longo, Antonio Puliafito, Asaf Shabtai, Yuval Elovici
Summary: This paper introduces a novel concept of a distributed marketplace that supports the validation of 3D printing designs. A mathematical trust model is built based on a reward/penalty system to ensure truthfulness among agents. The trust model is implemented on the blockchain using smart contracts to create a unique platform that elicits effort and truthfulness from participants. Furthermore, a performance evaluation and cost analysis of the proposed architecture are presented to assess scalability and financial viability.
2022 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2022)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Zakaria Benomar, Luca D'Agati, Francesco Longo, Giovanni Merlino, Antonio Puliafito
Summary: The growth of IoT devices has expanded their application to environments like smart cities. Efforts are needed to deal with the complexity and heterogeneity of infrastructure through the reuse of tools and to make smart decisions based on the vast amount of data generated.
2022 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2022)
(2022)
Article
Computer Science, Hardware & Architecture
Xiaolin Gu, Wenjia Wu, Yusen Zhou, Aibo Song, Ming Yang, Zhen Ling, Junzhou Luo
Summary: This study proposes a radio frequency fingerprint identification solution based on crystal oscillator temperature adjustment, which enhances the differences between Wi-Fi device fingerprints and mitigates collision. Experimental results demonstrate the effectiveness of the system in identifying smartphones under different scenarios.
Article
Computer Science, Hardware & Architecture
Yutong Wu, Jianyue Zhu, Xiao Chen, Yu Zhang, Yao Shi, Yaqin Xie
Summary: This paper proposes a quality-of-service-based SIC order method and optimizes power allocation for maximizing the rate in the uplink NOMA system. The simulation results demonstrate the superiority of the proposed method compared to traditional orthogonal multiple access and exhaustive search.
Article
Computer Science, Hardware & Architecture
Songshi Dou, Li Qi, Zehua Guo
Summary: Emerging cloud services and applications have different QoS requirements for the network. SD-WANs play a crucial role in QoS provisioning by introducing network programmability, dynamic flow routing, and low data transmission latency. However, controller failures may degrade QoS. To address this, we propose PREDATOR, a QoS-aware network programmability recovery scheme that achieves fine-grained per-flow remapping without introducing extra delays, ensuring QoS robustness for high-priority flows.
Article
Computer Science, Hardware & Architecture
Ke Wang, Xiaojuan Ma, Heng Kang, Zheng Lyu, Baorui Feng, Wenliang Lin, Zhongliang Deng, Yun Zou
Summary: This paper proposes a method based on a parallel network simulation architecture to improve the simulation efficiency of satellite networks. By effectively partitioning the network topology and using algorithms such as resource assessment and load balancing, the simulation performance is enhanced. Experimental results demonstrate the effectiveness of this method.
Article
Computer Science, Hardware & Architecture
Sijin Yang, Lei Zhuang, Julong Lan, Jianhui Zhang, Bingkui Li
Summary: This paper proposes a reuse-based online scheduling mechanism that achieves deterministic transmission of dynamic flows through dynamic path planning and coordinated scheduling of time slots. Experimental results show that the proposed mechanism improves the scheduling success rate by 37.3% and reduces time costs by up to 66.6% compared to existing online scheduling algorithms.
