Article
Computer Science, Information Systems
Abdallah Moubayed, Abdallah Shami, Parisa Heidari, Adel Larabi, Richard Brunner
Summary: Vehicle-to-everything (V2X) communication and services are gaining interest for intelligent transportation systems. Multi-access/mobile edge computing is proposed as a potential solution, but it introduces challenges such as where to place V2X services given limited computational resources. This study formulates the optimal V2X service placement problem and develops a low-complexity heuristic algorithm to solve it, showing successful maintenance of QoS requirements for different V2X services with close to optimal performance.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Engineering, Civil
Pradip Kumar Sharma, Jong Hyuk Park
Summary: Conventional centralized architectures struggle with the exponential growth of IoT devices in Intelligent Transportation Systems, leading to the proposal of a secure distributed mist computing network architecture leveraging blockchain technology. Experimental analysis revealed an 81% reduction in median latency at local nodes, indicating the model's effective performance across various ITS applications.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Mohammad Divband Soorati, Enrico H. Gerding, Enrico Marchioni, Pavel Naumov, Timothy J. Norman, Sarvapali D. Ramchurn, Bahar Rastegari, Adam Sobey, Sebastian Stein, Danesh Tarpore, Vahid Yazdanpanah, Jie Zhang
Summary: The Agents, Interaction and Complexity research group at the University of Southampton has a strong research background in multiagent systems, especially in the areas of learning, game-theoretic techniques, and formal methods. They have made significant scientific contributions and are focused on developing trustworthy autonomous systems and human-centered AI systems for societal good.
Article
Engineering, Industrial
Yujie Wang, Ruilong Xu, Caijie Zhou, Xu Kang, Zonghai Chen
Summary: This paper discusses the application of digital twin technology in the field of battery management, presents a networked architecture of cloud-side-end collaboration, and establishes a digital twin model of the battery for refined and safety management.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Computer Science, Information Systems
Yong Xiao, Marwan Krunz
Summary: This paper presents a measurement study of wireless access latency between connected vehicles and a fog/cloud computing system supported by LTE networks. It introduces AdaptiveFog, a framework for autonomous and dynamic switching between different LTE networks, aiming to maximize the confidence level of service latency. The paper proposes a novel statistical distance metric and evaluates the performance gap between LTE networks. Extensive analysis and simulations show that AdaptiveFog significantly improves the confidence levels of fog and cloud latencies.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Kwang Mong Sim
Summary: This article constructs a cloud intelligence model and provides a tutorial on agent-based cloud, fog, and edge resource management, paving the way for designing intelligent interclouds, fogs, and edges. It also describes a proof-of-concept prototype of an intelligent intercloud and provides an application example of the prototype.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Computer Science, Theory & Methods
Amit Kumar Dwivedi, Naveen Kumar, Manik Lal Das
Summary: Data freshness is crucial for achieving high business values and effective customer service. In a distributed outsourced environment, group data freshness can be challenging. This paper proposes an efficient group data freshness auditing scheme using Merkle hash trees for real-time verification, resulting in reduced computational and communication costs.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Article
Robotics
Kai Matsuka, Soon-Jo Chung
Summary: In this article, new algorithms for distributed factor graph optimization (DFGO) problems in large-scale networked robotic systems are presented. The algorithms include a batch DFGO algorithm called local consensus ADMM (LC-ADMM) and a real-time DFGO algorithm called incremental DFGO (iDFGO). The LC-ADMM is fully localized and has exponential convergence for strongly convex objectives, while the iDFGO algorithm is scalable with respect to both network size and time.
IEEE TRANSACTIONS ON ROBOTICS
(2023)
Article
Computer Science, Information Systems
Zongpu Zhang, Tao Song, Liwei Lin, Yang Hua, Xufeng He, Zhengui Xue, Ruhui Ma, Haibing Guan
Summary: The paper proposes a heterogeneous distributed deep neural network (HDDNN) framework for ubiquitous intelligent computing. It optimizes the utilization of hierarchical distributed systems for DNN and tailors DNN for real-world distributed systems, resulting in low response time, high performance, and better user experience.
IEEE TRANSACTIONS ON BIG DATA
(2022)
Article
Computer Science, Theory & Methods
Sunggon Kim, Jaehyun Han, Hyeonsang Eom, Yongseok Son
Summary: The article introduces an address reshaping technique for SSDs in distributed file systems to improve performance by transforming random write requests into sequential write requests.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Computer Science, Information Systems
Hui Bai, Xixun Yu, Zheng Yan, Jialei Zhang, Laurence T. Yang
Summary: The current research on machine learning-based intelligent routing focuses on algorithm design and performance optimization, and the deployment in practice remains a pressing issue. Existing deep learning-based intelligent routing algorithms suffer from a high computational cost that is hard to be afforded by routers. However, outsourcing deep learning-based intelligent routing computations to the cloud becomes a feasible solution to support intelligent routing.
INFORMATION SCIENCES
(2023)
Article
Engineering, Civil
Taiyuan Gong, Li Zhu, F. Richard Yu, Tao Tang
Summary: Edge intelligence (EI) is a research hotspot that empowers intelligent transportation systems (ITS). By pushing AI to the network edge, EI enables ITS AI applications to have lower latency, higher security, less pressure on the backbone network, and better use of edge big data.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Automation & Control Systems
Guo-Ping Liu
Summary: This article investigates the coordinated control problem of networked nonlinear multiagent systems using cloud edge computing. A mist-fog-cloud predictive control scheme is proposed to compensate for communication delays and achieve desired coordination performance. The analysis results in the conditions of simultaneous consensus and stability of the closed-loop system, and an example demonstrates the effectiveness of the scheme.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2022)
Article
Computer Science, Software Engineering
Victor Casamayor Pujol, Praveen Kumar Donta, Andrea Morichetta, Ilir Murturi, Schahram Dustdar
Summary: Edge intelligence and distributed computing continuum systems will bring numerous new and useful applications to our future society, revolutionizing our way of living. However, managing these systems poses challenges to previously developed technologies for internet-distributed systems. This article presents techniques and concepts within the paradigm of autonomic computing, such as MAPE-K, to help manage these systems and highlights research opportunities to make edge intelligence a reality.
IEEE INTERNET COMPUTING
(2023)
Article
Engineering, Civil
Peter Arthurs, Lee Gillam, Paul Krause, Ning Wang, Kaushik Halder, Alexandros Mouzakitis
Summary: The advancements in smart connected vehicles and Intelligent Transportation Systems (ITS) rely on processing large amounts of sensor data. Cloud computing is effective for handling peak data periods, while edge cloud computing addresses latency and bandwidth constraints.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Enrique Osuna, Luis-Felipe Rodriguez, J. Octavio Gutierrez-Garcia, Luis A. Castro
COGNITIVE SYSTEMS RESEARCH
(2020)
Article
Computer Science, Interdisciplinary Applications
Hector Gomez Marquez, Adrian Ramirez-Nafarrate, Rafael Lopez-Bracho
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
(2020)
Article
Computer Science, Information Systems
Omar Lopez Chavez, Luis-Felipe Rodriguez, J. Octavio Gutierrez-Garcia
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2020)
Article
Economics
Hugo Briseno, Adrian Ramirez-Nafarrate, M. Ozgur Araz
Summary: This paper presents a multivariate analysis of economic and ecological factors associated with the acquisition of low emission vehicles in Mexico. The study found that GDP per capita, cost of consumed electricity, gasoline price, and an indicator for sustainable practices are positively correlated with the sales of hybrid and electric vehicles. Affordability is more important for buyers than energy efficiency, and industrialized states are adopting these vehicles at a higher rate than states reliant on commerce and tourism.
SOCIO-ECONOMIC PLANNING SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Enrique Osuna, Luis-Felipe Rodriguez, J. Octavio Gutierrez-Garcia
Summary: Computational models of emotion aim to imitate human emotions and face challenges such as information sharing and interaction between complex cognitive and affective components. The proposed architectural pattern utilizes message exchange methods to enable communication between cognitive and affective components, addressing issues like software heterogeneity. By centralizing communication management, the pattern separates the complexity of cognitive and affective processes from their interaction mechanisms, allowing for flexibility and interoperability in the design of CME architectures.
COGNITIVE SYSTEMS RESEARCH
(2021)
Article
Transportation
Hector R. Gomez Marquez, Rafael Lopez Bracho, Adrian Ramirez-Nafarrate
Summary: Bike-sharing systems offer a healthy and environmentally friendly alternative for public transportation in large urban areas. Ecobici in Mexico City has rapidly grown since its establishment in 2010. To optimize bike inventory, a simulation-optimization framework has been proposed to minimize shortage events.
CASE STUDIES ON TRANSPORT POLICY
(2021)
Review
Computer Science, Theory & Methods
Eduardo Islas-Cota, J. Octavio Gutierrez-Garcia, Christian O. Acosta, Luis-Felipe Rodriguez
Summary: An intelligent assistant (IA) is a computer system equipped with artificial intelligence and machine learning techniques to assist people intelligently. The systematic review in this paper aims to describe, classify, and organize recent advances in IAs, characterize their objectives, application domains, and workings, analyze evaluation methods, and identify AI and ML techniques used. The review also proposes a taxonomy of IAs and future research directions to enhance IA.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Article
Management
Juan E. Nunez-Rios, Jacqueline Y. Sanchez-Garcia, Adrian Ramirez-Nafarrate
Summary: This study aims to present a model to incentivize sustainable performance in small- and medium-sized tourism by strengthening internal relations to adapt to a complex environment. The findings suggest the need to reinforce feedback loops and reduce inconsistencies between operations with coordination and management mechanisms. The study also proposes the use of methodological complementarity to generate alternatives and reconfigure internal organizational interactions for rethinking sustainable performance.
JOURNAL OF MODELLING IN MANAGEMENT
(2023)
Article
Business
Jeri Brittin, Ozgur M. Araz, Adrian Ramirez-Nafarrate, Terry T. -K. Huang
Summary: Studying the impact of built-environment changes on human behavior and health is challenging. While the use of dynamic furniture in schools may have some impact on childhood obesity, it is not the sole solution.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Engineering, Multidisciplinary
Francisco Ruiz-Barajas, Adrian Ramirez-Nafarrate, Elias Olivares-Benitez
Summary: This paper investigates the impact of electric vehicles on decarbonization in Mexico and proposes an extension of the charging station network. By modeling different scenarios and optimizing the location of charging stations based on origin-destination information, specific station types, and vehicle types and distances, the study finds that significant coverage and decarbonization benefits can be achieved with a moderate increase in station numbers.
RESULTS IN ENGINEERING
(2023)
Article
Management
Adrian Ramirez-Nafarrate, Luis Antonio Moncayo-Martinez, Gerardo Steve Munguia-Williams
Summary: This paper presents a novel, efficient, and scalable modeling framework to evaluate initial bike inventory policies for bike-sharing systems, inspired by the operation of the bike-sharing system in Mexico City. The study finds that initial inventory significantly impacts performance and proposes a method to address bias caused by dynamic rebalancing on observed demand.
JOURNAL OF MODELLING IN MANAGEMENT
(2022)
Article
Management
Adrian Ramirez-Nafarrate, Ozgur M. Araz, John W. Fowler
Summary: Emergency response preparedness requires strategic and operational planning, involving trade-offs due to limited resources and time pressure. Facility location problems in disaster management are known as NP-hard problems, and heuristic algorithms can help find solutions in such scenarios. Decision makers may have to sacrifice certain objectives when trying to satisfy multiple goals in emergency response planning.
Proceedings Paper
Computer Science, Artificial Intelligence
J. Octavio Gutierrez-Garcia, Andres Gomez de Silva Garza, L. Leticia Ramirez-Ramirez, Rodrigo Patino, Eduardo Candela
PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, VOL 1
(2020)
Article
Health Policy & Services
Ozgur M. Araz, Adrian Ramirez-Nafarrate, Megan Jehn, Fernando A. Wilson
Article
Automation & Control Systems
Joel Antonio Trejo-Sanchez, Daniel Fajardo-Delgado, J. Octavio Gutierrez-Garcia
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE
(2020)
