Article
Computer Science, Artificial Intelligence
Junier Caminha Amorim, Eduardo Lemos Rocha, Luigi Minardi, Vander Alves, Edison Pignaton de Freitas, Thiago Castro, Moussa Amrani, James Ortiz, Pierre-Yves Schobbens, Gilles Perrouin
Summary: Command and Control (C2) is a broad concept that requires agility to respond to dynamic and uncertain scenarios. This study proposes a computational model of C2 Agility that combines individual reconfiguration and coordination approaches to adapt to context changes. Simulations using a team of UAVs showed that the proposed model improved system resilience and enabled effective response to induced perturbations.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Review
Computer Science, Information Systems
Heemeng Ho, Ryan Ko, Lorraine Mazerolle
Summary: This paper evaluates the application and relevance of Situational Crime Prevention (SCP) techniques in cybercrime, explaining how SCP principles can be applied to prevent and control cyber-enabled crime. Through a review of computer science, criminal justice, and criminology literature, it clarifies terminology, explores the rise of cybercrimes, and explains the value of SCP in responding to cybercrimes.
COMPUTERS & SECURITY
(2022)
Article
Engineering, Aerospace
Wei Wang, Xuefeng Hong, Jue Qu, Ning Xu, Tong Chen
Summary: This study compared the traditional two-dimensional display interaction system with the mixed reality display interaction system and found that the mixed reality system performed better in completing the same task, but had a slightly higher cognitive load. By making multi-channel improvements, the cognitive load can be reduced while improving task performance. The improved multi-channel mixed reality display interaction system is superior to the traditional two-dimensional display interaction system and the unimproved mixed reality display interaction system.
Article
Development Studies
Jianpei Li, Jierui Huang, Bowen Li
Summary: The study shows that command-and-control environmental regulations do not achieve both pollution reduction and efficiency gains for firms. The pollution treatment measures adopted by enterprises under the constraint of binding pollution control policies reduce pollutant emissions but also bring compliance costs. The innovation compensation effect is unable to compensate for these compliance costs. In addition, the binding pollution control policy effectively reduces pollutant emissions for enterprises with low financing constraints.
SUSTAINABLE DEVELOPMENT
(2023)
Article
Criminology & Penology
Viviane M. Lindenbergh, Edward R. Kleemans, Joras Ferwerda
Summary: The study demonstrates that the introduction of entry gates at Dutch train stations is associated with a decrease in crime rates in the surrounding areas. This measure makes it harder for potential offenders to enter and leave the stations, leading them to choose alternative locations for criminal activities.
EUROPEAN JOURNAL ON CRIMINAL POLICY AND RESEARCH
(2021)
Article
Economics
Xize Wang, Daniel A. Rodriguez, Anjali Mahendra
Summary: This study found that personal mobility, such as owning or using a private vehicle, was associated with decreased support for congestion relief policies, while experiencing congestion delay during commute and having a young child recently diagnosed with respiratory problems increased support. Residents of cities with higher levels of particulate matter and with prior experience with traffic bans expressed higher support for such policies. Residents of cities with higher income inequality tended to support driving restrictions, while those in cities with higher GDP per capita had lower support for congestion pricing.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
History
Ilyas Chattha, Ali Usman Qasmi
Summary: This article documents the activities of Lahore's Society of Red Assassins, who led an anti-colonial 'Car Burning Movement' in the interwar period, challenging colonial authorities. These so-called 'socialist criminals' engaged in spectral violence by targeting capitalists and colonial institutions, and were declared 'Public Enemy number 1' by the colonial state. Drawing on previously unexplored archival sources, this investigation sheds light on the revolutionary politics in colonial Lahore and its contribution to the global history of anti-colonial resistance.
HISTORY WORKSHOP JOURNAL
(2022)
Article
Criminology & Penology
Eric L. Piza, David N. Hatten, George O. Mohler, Jeremy G. Carter, Jisoo Cho
Summary: This research applies microsynthetic control method to evaluate the effectiveness of gunshot detection technology (GDT) in preventing gun violence in Kansas City, MO. The study finds that the GDT system has positive effects in terms of ballistic evidence collection, gun recoveries, and reduction of shots fired calls for service.
CRIMINOLOGY & PUBLIC POLICY
(2023)
Article
Criminology & Penology
Heemeng Ho, John Gilmour, Lorraine Mazerolle, Ryan Ko
Summary: This paper uses a vignette experimental survey to explore the effectiveness of using place managers to prevent cybercrimes. The findings suggest that organizations that partner with and proactively utilize cybersecurity professionals as place managers are perceived as more effective in controlling cybercrimes. It concludes that assigned cyberplace managers are more likely to utilize their skills and knowledge to prevent and control cybercrimes.
Article
Medicine, General & Internal
Sabah Uddin Saqib, Hasnain Zafar
Summary: This study conducted a retrospective analysis at Aga Khan University Hospital in Karachi to evaluate the impact of the city's law and order situation on the pattern of traumatic injuries and outcomes for trauma victims. The results showed that with an improvement in law and order, there was a reduction in overall trauma cases and a shift from penetrating to blunt injuries.
JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION
(2022)
Proceedings Paper
Engineering, Aerospace
Giulio Troso, Walter Matta, Antonio Romano, Marilena Fittipaldi, Ferdinando Dolce, Andrea Ventimiglia, Walter Villadei, Riccardo Cipollone, Pierluigi Di Lizia, Giancarmine Fasano
Summary: This paper discusses the need to enhance European capabilities in Space Situational Awareness, advocating for the development of an advanced SSA Command and Control System and recommending directions of technological development and innovation. Advanced functions and services related to threat assessment, maneuver analysis, satellite operative status assessment, and support to military operations are highlighted.
2021 IEEE 8TH INTERNATIONAL WORKSHOP ON METROLOGY FOR AEROSPACE (IEEE METROAEROSPACE)
(2021)
Article
Criminology & Penology
Jaeyong Choi, Ilhong Yun
Summary: Morality and low self-control are important predictors of digital piracy, with morality enhancing the effects of low self-control on digital piracy. Continued research efforts are warranted to understand the interaction between morality and low self-control in relation to this type of rule-breaking behaviors.
Article
Computer Science, Artificial Intelligence
Shuai Song, Ju H. Park, Baoyong Zhang, Xiaona Song
Summary: This article introduces a neural network-based adaptive finite-time resilient control approach for a class of nonlinear time-delay systems with unknown cyberattacks and actuator faults. By incorporating a modified FOCF technique, the control scheme ensures finite-time stability and convergence of stabilization errors to zero. The approach removes common assumptions on attack weight signs and prior knowledge of actuator faults, distinguishing itself from existing results.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Computer Science, Information Systems
Mayra Salcedo-Gonzalez, Julio Suarez-Paez, Manuel Esteve, Carlos Enrique Palau
Summary: This article presents the development of a geo-visualization tool that enables police officers or law enforcement officers to predict criminal activities based on real-time events. The tool utilizes real data from the Colombian National Police and is particularly effective in real-time systems for crime control and prevention. It employs deep learning techniques such as CNN-1D, MLP, LSTM, and VAR, and is implemented with Open-Source Software using Python programming language.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Chemistry, Analytical
Ignacio Lacalle, Andreu Belsa, Rafael Vano, Carlos E. Palau
Review
Computer Science, Information Systems
Clara I. Valero, Alejandro M. Medrano Gil, Regel Gonzalez-Usach, Matilde Julian, Giuseppe Fico, Maria Teresa Arredondo, Thanos G. Stavropoulos, Dimitrios Strantsalis, Antonis Voulgaridis, Felipe Roca, Antonio J. Jara, Martin Serrano, Achille Zappa, Yasar Khan, Sergio Guillen, Pilar Sala, Andreu Belsa, Konstantinos Votis, Carlos E. Palau
Summary: The average life expectancy of global population is increasing, which will compromise healthcare systems due to reduced capacity and higher costs. Additionally, the aging population will result in economic problems and social changes. The AIoTES IoT Ecosystem Suite offers platform-level semantic interoperability for cross-platform services and applications, and has been successfully validated in real-world environments with direct users.
COMPUTER COMMUNICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Jhon Jairo Saenz-Gamboa, Julio Domenech, Antonio Alonso-Manjarres, Jon A. Gomez, Maria de la Iglesia-Vaya
Summary: This study addresses challenges in medical image segmentation, including image variability, human anatomy variation, disease severity, and age and gender effects. The researchers used convolutional neural networks to automatically segment lumbar spine MRI images, assigning class labels to each pixel corresponding to structural elements. The proposed network topologies, with complementary blocks, achieved more accurate segmentation than the standard U-Net, especially when used in ensembles.
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Cesar Lopez, Ignacio Lacalle, Andreu Belsa, Zbigniew Kopertowski, Carlos E. Palau, Manuel Esteve
Summary: This paper analyzes the various strategies for effectively deploying SDN-enabled Next Generation IoT systems, and the differences between types of access network layers. The findings are significant for defining the blueprint architecture for the Next Generation Internet of Things.
SMART SYSTEMS: INNOVATIONS IN COMPUTING (SSIC 2021)
(2022)
Proceedings Paper
Computer Science, Information Systems
Regel Gonzalez-Usach, Matilde Julian, Manuel Esteve, Carlos Palau
Summary: Ambient Assisted Living (AAL) and Active and Healthy Ageing (AHA) benefit greatly from IoT applications, and federating IoT platforms can multiply these benefits but faces challenges in interoperability. The ACTIVAGE project offers a technical solution to achieve full semantic interoperability across heterogeneous platforms in AHA smart home clusters, enhancing AHA services in the European ecosystem.
2021 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Michele Cancilla, Laura Canalini, Federico Bolelli, Stefano Allegretti, Salvador Carrion, Roberto Paredes, Jon A. Gomez, Simone Leo, Marco Enrico Piras, Luca Pireddu, Asaf Badouh, Santiago Marco-Sola, Lluc Alvarez, Miquel Moreto, Costantino Grana
Summary: The DeepHealth Toolkit is an open-source deep learning toolkit designed to enhance the productivity of data scientists in the medical field by providing a unified framework for distributed training of neural networks in a transparent manner, leveraging hybrid HPC and cloud computing environments.
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Jhon Jairo Saenz-Gamboa, Maria de la Iglesia-Vaya, Jon A. Gomez
Summary: This study focuses on automatically segmenting MR images of the lumbar spine using convolutional neural networks, aiming to detect and delimit structural elements like vertebrae, intervertebral discs, nerves, and blood vessels. The proposed network architectures are variants of the U-Net, incorporating spatial attention models, deep supervision, multi-kernels, and inception-based blocks to achieve better results than the standard U-Net.
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)
(2021)
Proceedings Paper
Computer Science, Theory & Methods
David Sarabia-Jacome, Ignacio Lacalle, Carlos E. Palau, Manuel Esteve
2019 IEEE 5TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT)
(2019)
Article
Computer Science, Information Systems
David Sarabia-Jacome, Regel Usach, Carlos E. Palau, Manuel Esteve
INTERNET OF THINGS
(2020)
Article
Computer Science, Information Systems
David Sarabia-Jacome, Carlos E. Palau, Manuel Esteve, Fernando Boronat
