Article
Engineering, Multidisciplinary
G. E. Cossali, S. Tonini
Summary: An analytical model is developed to study the evaporation of sessile drops in gaseous environments, taking into account the Stefan flow and temperature dependence of thermo-physical properties. The conservation equations in toroidal coordinates are solved exactly using the Mehler-Fock transform and reformulated in terms of simple functions using the method of images for specific values of the contact angle. The method is then approximated for general values of the contact angles, and its accuracy is quantified for hydrophobic and hydrophilic cases, demonstrating the applicability of the model to a wide range of wettability conditions.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Psychology, Multidisciplinary
Jun Wang, Jieling Cao
Summary: This study examines the association of corporate social responsibility (CSR) performance among multiple firms for the same executive served at different times. The findings suggest a significantly positive relationship between the CSR performance of the predecessor and successor firms for the same executive. Additionally, a longer employment gap and lower internal control effectiveness negatively impact the association of CSR performance between the predecessor and successor firm.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Physics, Applied
Nobuya Mori, Futo Hashimoto, Takaya Mishima, Hajime Tanaka
Summary: The analytical formula for the transmission function of inter-layer intra-band tunneling in coupled narrow two-dimensional materials is derived, and analytical models for the intra-band tunneling conductance G, the transmission function of inter-layer band-to-band tunneling, and the maximum band-to-band tunneling current I (max) are obtained. It is found that G and I (max) exhibit different characteristics depending on the channel length.
JAPANESE JOURNAL OF APPLIED PHYSICS
(2022)
Article
Electrochemistry
Mohsen Feyzi, Reza Hashemi
Summary: An analytical model was proposed to describe the currents emitted by both the contacting materials in a ball-on-disk configuration. The model was assessed using a tribocorrosion apparatus and different testing parameters. The results indicated the significant influence of testing parameters on the electrochemical current at the interface.
ELECTROCHIMICA ACTA
(2023)
Article
Engineering, Mechanical
Aquib Qazi, Honore Yin, Michel Sebes, Hugues Chollet, Cedric Pozzolini
Summary: This research proposes a new semi-analytical boundary element method to determine the wheel-rail contact zone and the normal stress distribution within it. The method uses strip elements to discretize the potential contact area, and employs an iterative algorithm to satisfy the contact constraints. The approach provides a good approximation of the pressure distribution and enables fast computation speeds, making it suitable for non-elliptic cases in railway dynamics.
VEHICLE SYSTEM DYNAMICS
(2022)
Article
Multidisciplinary Sciences
Julia Rahman, M. A. Hakim Newton, Md Khaled Ben Islam, Abdul Sattar
Summary: In this paper, a deep learning model called the scrutinised distance predictor (SDP) is proposed for accurate prediction of inter-residue distances in protein structures. By reducing the types of features used and improving prediction accuracy, the SDP method outperforms existing state-of-the-art methods on benchmark proteins.
SCIENTIFIC REPORTS
(2022)
Article
Development Studies
Alexander Betts, Maria Flinder Stierna, Naohiko Omata, Olivier Sterck
Summary: This article explores the role of inter-group interaction in influencing host community attitudes towards refugees in East Africa, drawing upon quantitative and qualitative data collected from refugees and nearby host communities. The study reveals a small positive correlation between refugee-host interaction and the perception of hosts towards refugees, but this association disappears when addressing endogeneity issues. The research highlights the importance of factors such as interaction types, ethno-linguistic proximity, and residence contexts in shaping host attitudes towards refugees.
Article
Environmental Studies
Guanyong Luo, John D. Rice, Sige Peng, Hong Cao, Hong Pan, Guoyuan Xu
Summary: This paper presents the initiation stage seepage mechanism and reliability of backward erosion piping (BEP), as well as the analysis models involved. The study found that soil loosening plays a significant role in the assessment of BEP mechanisms.
Article
Engineering, Marine
D. B. S. Lopes, G. Vaz, J. A. C. Falcao De Carpos, A. J. N. A. Sarmento
Summary: This work investigates theoretical and numerical methods to model oscillating hydrofoils in single and tandem arrangements. A semi-analytical model based on Theodorsen theory is presented for a hydrofoil propulsor, while a high-fidelity CFD approach is used for a more comprehensive understanding of flow dynamics. The results suggest that the semi-analytical model is suitable for design studies and the CFD model provides accurate results for complex cases.
Article
Biochemical Research Methods
Yunda Si, Chengfei Yan
Summary: In this study, a deep learning method, DRN-1D2D_Inter, was developed for inter-protein contact prediction and its application in improving protein complex structure prediction was demonstrated.
BRIEFINGS IN BIOINFORMATICS
(2023)
Article
Mechanics
Shuangmin Shi, Nelson Lam, Siyu Chen, Yiwen Cui, Guoxing Lu, Emad Gad, Lihai Zhang
Summary: This article presents the development and validation of an analytical model for predicting the contact forcing function generated by the impact of hailstone. The model takes into account the size, temperature, and velocity of the hailstone. It has been calibrated against experimental results and validated through comparison with independent force time curves.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2023)
Article
Multidisciplinary Sciences
Siegfried Geyer, Katharina Fleig, Kambiz Norozi, Lena Roebbel, Thomas Paul, Matthias Mueller, Claudia Dellas
Summary: Patients of congenital heart disease surgery have good prospects for reaching old age, and the educational and occupational performance of patients over 15 years was examined. While some patients retired prematurely or never entered the labour force, their educational and occupational careers proceeded more favorably than expected.
Article
Astronomy & Astrophysics
Aseem Paranjape
Summary: The study focuses on the non-linear cosmic web environment of dark matter haloes and their impact on growth and evolution, as well as the galaxies within them. An analytical formalism is developed to describe the tidal field of anisotropic halocentric density distributions. Through axisymmetric examples, interesting results are demonstrated that shed light on the dynamics within the cosmic web.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Engineering, Multidisciplinary
Jizhong Zhao, Peilin Fu, Xu Zhang, Liucheng Zhou, Ping Wang, Qianhua Kan
Summary: This study proposes an effective calculation method for elastoplastic contact pressure and contact patch size under arbitrary smooth and continuous contact conditions. The accuracy and applicability of the method are evaluated by comparing predicted results with finite element simulations, showing high calculation accuracy and general applicability for different contact materials and body sizes.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Economics
Katja Ignatieva, Patrick Wong
Summary: This paper investigates the dynamics of high frequency crude oil markets using a stochastic framework and compares six modelling frameworks based on their ability to capture the dynamics. The study finds that jumps and stochastic volatility are important when modelling USO dynamics, and non-affine models outperform affine models.
Article
Computer Science, Hardware & Architecture
Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele Perego
Summary: This paper investigates the problem of training effective neural network models on resource-constrained devices. The authors propose a dynamic hard pruning technique that incrementally prunes the network during training and reuses freed memory using dynamic batch sizing. Experimental results show that their method can compress a neural network up to 10 times without significant performance drops and reduce training memory occupancy by 80%.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2022)
Article
Engineering, Civil
Riccardo Iacobucci, Raffaele Bruno, Chiara Boldrini
Summary: The study proposes a multi-stage decision support system for tackling the operational challenge of vehicle relocation in one-way car-sharing systems. By leveraging modular and flexible approaches, user-based, operator-based, and robotic relocation schemes are designed to improve service quality and vehicle utilization under demand uncertainty.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Andrew Fuchs, Andrea Passarella, Marco Conti
Summary: This article provides a review of the efforts to replicate human reasoning in artificial systems and the integration of concepts such as Game Theory, Theory of Mind, and Machine Learning. The article also highlights the need for autonomous agents to understand human behavior in order to work together effectively.
ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Kilian Ollivier, Chiara Boldrini, Andrea Passarella, Marco Conti
Summary: Well-established cognitive models from anthropology have shown the cognitive constraints that shape social relations in humans. This study analyzes a Twitter dataset to explore whether similar regularities exist in language production. Results reveal a concentric layered structure in the organization of words, as well as semantic profiles that capture important topics. The first ring of each ego network plays a unique role as the semantic fingerprint of the word network.
Article
Computer Science, Cybernetics
Mustafa Toprak, Chiara Boldrini, Andrea Passarella, Marco Conti
Summary: This article proposes leveraging social cognitive theories to improve link prediction performance in online social networks and shows that social awareness generally provides significant improvements in prediction performance.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Chemistry, Analytical
Andrew Fuchs, Andrea Passarella, Marco Conti
Summary: Given the prevalence of intelligent systems capable of autonomous actions, it is important to consider scenarios where failures can occur due to contributing factors. This includes failures that can vary from reduced performance to severe consequences like injury or death. In the context of hybrid human-AI teaming, a managing agent is responsible for identifying when to delegate tasks and decide whether the human or autonomous system should take control. By estimating the likelihood of failures based on sensing capabilities and deficiencies, a reinforcement learning manager can help the team outperform any agent working alone by correcting the context-delegation association.
Article
Computer Science, Information Systems
Claudio Cicconetti, Marco Conti, Andrea Passarella
Summary: In the future, quantum computers will be widely used with a network of quantum repeaters to provide end-to-end entanglement. This will lead to the emergence of a pervasive quantum computation infrastructure, enabling distributed quantum computing and resource pooling on multiple computation nodes. This paper investigates service differentiation in this new environment and proposes a method for selecting computation nodes to achieve fair sharing of available network resources. The analysis was performed using an open source simulator and the results are fully accessible.
PERVASIVE AND MOBILE COMPUTING
(2023)
Article
Automation & Control Systems
Elisabetta Biondi, Chiara Boldrini, Andrea Passarella, Marco Conti
Summary: For decades, researchers have been trying to understand how people form their opinions. This study focuses on polarization using the popular Friedkin-Johnsen (FJ) model, surveying its variants and polarization metrics, deriving their relation, determining the conditions under which FJ variants induce opinion polarization, discussing a methodology for finding polarized opinion vectors, and applying analytical results to real social network graphs to identify polarizing conditions.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Information Systems
Theofanis P. Raptis, Andrea Passarella
Summary: This paper conducts a systematic survey of the research literature in the field of Apache Kafka, classifying it into key macro areas and analyzing the optimization aspects relevant to each area. By synthesizing and consolidating existing knowledge, the paper serves as a trusted reference for the Apache Kafka community, providing practical insights, highlighting novel approaches, and identifying research challenges.
Article
Computer Science, Information Systems
Chiara Boldrini, Andrea Passarella, Marco Conti
Summary: Contacts between people are the main drivers of respiratory infections. Digital contact tracing has been proposed as a solution to scale up traditional contact tracing. However, the required penetration of contact tracing apps within the population is currently under discussion. Mathematical models have been used to understand the effects of digital contact tracing. The research suggests that digital contact tracing alone is not sufficient to control the epidemic, but it can be effective when combined with other strategies such as social distancing and mask-wearing.
Proceedings Paper
Computer Science, Artificial Intelligence
Andrew Fuchs, Andrea Passarella, Marco Conti
Summary: With the increasing interaction between humans and AI systems, it is important to ensure that artificial systems understand humans and are able to delegate decisions in different contexts, leading to an improved human-AI system.
2022 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2022)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Andrew Fuchs, Andrea Passarella, Marco Conti
Summary: With the increasing interaction between humans and AI systems, it is important to ensure that AI systems understand humans and can delegate decision-making accordingly. By using cognitively inspired models of behavior, the predicted behavior of both humans and AI agents can be used to delegate control between the two parties, overcoming potential shortcomings in pursuit of a goal.
2022 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2022)
(2022)
Article
Computer Science, Interdisciplinary Applications
Claudio Cicconetti, Marco Conti, Andrea Passarella
Summary: This passage discusses the emergence of a new quantum era and the research being carried out at IIT-CNR on quantum networks. The aim is to develop secure identification and communication, distributed computation, and integration with classical computing systems. The ultimate goal is to build a quantum internet where quantum components coexist with legacy-Internet components or are exclusively built out of quantum devices.
Review
Computer Science, Information Systems
Euclides Carlos Pinto Neto, Sajjad Dadkhah, Somayeh Sadeghi, Heather Molyneaux, Ali A. Ghorbani
Summary: The Internet of Things (IoT) has the potential to revolutionize medical treatment in healthcare, but it also faces security threats. Advanced analytics can enhance IoT security, but generating realistic datasets is complex. This research conducts a review of Machine Learning (ML) solutions for IoT security in healthcare, focusing on existing datasets, resources, applications, and challenges, to highlight the current landscape and future requirements.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Duncan Deveaux, Takamasa Higuchi, Seyhan Ucar, Jerome Harri, Onur Altintas
Summary: This paper investigates the ability to predict the risk patterns of vehicles in a roundabout and suggests that constraining knowledge transfer to roundabouts with a similar context can significantly improve accuracy.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Lingjun Zhao, Qinglin Yang, Huakun Huang, Longtao Guo, Shan Jiang
Summary: Metaverse seamlessly integrates the real and virtual worlds, and intelligent wireless sensing technology can serve as an intelligent, flexible, non-contact way to access the metaverse and accelerate the establishment of a bridge between the real physical world and the metaverse. However, there are still challenges and open issues in this field.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Jing Xiong, Hong Zhu
Summary: With the rapid growth of data in the era of IoT, the challenge of data privacy protection arises. This article proposes a federated learning approach that uses collaborative training to obtain a global model without direct exposure to local datasets. By utilizing dynamic masking and adaptive differential privacy methods, the approach reduces communication overhead and improves the converge performance of the model.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Carlos Rubio Garcia, Simon Rommel, Sofiane Takarabt, Juan Jose Vegas Olmos, Sylvain Guilley, Philippe Nguyen, Idelfonso Tafur Monroy
Summary: The reliance on asymmetric public key cryptography and symmetric encryption for cyber-security in current telecommunication networks is threatened by quantum computing technology. Quantum Key Distribution and post-quantum cryptography provide resistance to quantum attacks. This paper proposes two novel hybrid solutions integrating QKD and PQC into TLS for quantum-resistant key exchange.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Annisa Sarah, Gianfranco Nencioni
Summary: This article explores the concept of a Slice Broker, an intermediate entity that purchases resources from Infrastructure Providers to offer customized network slices to users. The article proposes a cost-minimization problem and compares it with alternative problems to demonstrate its effectiveness and cost-saving capabilities.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Sumana Maiti, Sudip Misra, Ayan Mondal
Summary: The broadcast proxy re-encryption methods extend traditional proxy re-encryption mechanisms and propose a scheme called MBP for IoT applications. MBP calculates a single re-encryption key for all user groups and uses multi-channel broadcast encryption to reduce security element size. However, it increases computation time for receiver IoT devices. The use of Rubinstein-Stahl bargaining game approach addresses this issue and MBP is secure against selective group chosen-ciphertext attack in the random oracle model.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Pankaj Kumar, Hari Om
Summary: This paper presents NextGenV2V, a protocol for the next-generation vehicular network that achieves authenticated communication between vehicles using symmetric keys and a (2, n)-threshold scheme. The protocol reduces communication overhead and improves authentication delay, ensuring better security. Comparative analysis demonstrates the suitability of NextGenV2V in next-generation vehicular networks.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Eric Ossongo, Moez Esseghir, Leila Merghem-Boulahia
Summary: The implementation of 5G networks allows for the efficient coexistence of heterogeneous services in a single physical virtualized infrastructure. Virtualization of network functions enables more flexible resource management and customizable services. However, the increasing number of connected objects poses challenges in managing physical and virtual resources, requiring intelligent systems to ensure communication quality.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Suvrima Datta, U. Venkanna
Summary: The Internet of Things (IoT) enables real-time sensing and data transmission to make homes smarter. Effective device-type identification methods are crucial as the number of IoT devices continues to grow. In this paper, a P4-based gateway called PiGateway is proposed to classify and prioritize the type of IoT devices. By utilizing a decision tree model and flow rules, PiGateway enables real-time granular analysis and in-network classification of IoT traffic.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Fahad Razaque Mughal, Jingsha He, Nafei Zhu, Saqib Hussain, Zulfiqar Ali Zardari, Ghulam Ali Mallah, Md. Jalil Piran, Fayaz Ali Dharejo
Summary: This paper explores the relationship between heterogeneous cluster networks and federated learning, as well as the challenges of implementing federated learning in heterogeneous networks and the Internet of Things. The authors propose an Intra-Clustered FL (ICFL) model that optimizes computation and communication to select heterogeneous FL nodes in each cluster, enabling efficient processing of asynchronous data and ensuring data security.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Rajesh Kumar, Deepak Sinwar, Vijander Singh
Summary: This paper investigates the coexistence mechanisms between eMBB and URLLC traffic for resource scheduling in 5G. Through examining different approaches and performance metrics, it provides detailed insights for researchers in the field, and highlights key issues, challenges, and future directions.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Giovanni Nardini, Giovanni Stea
Summary: Digital Twins of Networks (DTNs) are proposed as digital replicas of physical entities, enabling efficient data-driven network management and performance-driven network optimization. DTNs provide simulation services for dynamic reconfiguration and fault anticipation, using discrete-event network simulators as the ideal tools. Challenges include centralized vs. distributed implementation, input gathering from the physical network, security issues and hosting. The possibilities of network simulation for what-if analysis are explored, with the concepts of lockstep and branching analysis defined.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Zhaolin Ma, Jiali You, Haojiang Deng
Summary: This paper presents the Distributed In-Network Name Resolution System (DINNRS), which leverages software-defined networking and Information-Centric Networking (ICN) paradigm to provide high scalability and minimal request delay. Our methods, including an enhanced marked cuckoo filter for fast resolving, achieve significant performance gains in simulation experiments.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Yujie Wang, Ying Wang, Qingqing Liu, Yong Zhang
Summary: This paper proposes a dynamic indoor positioning method based on multi-scale metric learning of the channel state information (CSI). By constructing few-shot learning tasks, this method can achieve dynamic positioning using CSI signals without additional equipment. Experimental results show that compared to commonly used dynamic location and tracking algorithms, the proposed method has higher positioning accuracy and does not accumulate errors.
COMPUTER COMMUNICATIONS
(2024)
