Article
Computer Science, Information Systems
Minghua Wang, Chenxuan Zhai
Summary: This article studies how to construct a covered redundant path in mobile wireless sensor networks and proposes a strategy based on node collaborative sensing to solve the problem. The effectiveness of the strategy is verified through a series of experiments.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Qiaoyun Zhang, Chih-Yung Chang, Zaixiu Dong, Diptendu Sinha Roy
Summary: This paper proposes a target coverage mechanism called TCSAR in wireless rechargeable sensor networks. It applies the Probabilistic Sensing Model (PSM) and adjustable sensing radius of sensors to maximize surveillance quality while ensuring network lifetime. The mechanism evaluates the surveillance contribution of each sensor and schedules the one with the highest contribution to the bottleneck points of interest. It further improves surveillance quality by adjusting the sensing radius of sensors from space to time dimension.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Joanna Szkutnik-Rogoz, Jerzy Malachowski, Jaroslaw Ziolkowski
Summary: The aim of this study was to develop an innovative solution using the Laplace transform and the R programming language to determine the reliability measure of a system. A mathematical model based on the theory of reliability was established, and actual numerical data were used for calculations and analyses. An algorithm utilizing the Laplace transform was proposed to evaluate the system's reliability. Results showed that the proposed algorithm simplified complex calculations and allowed for visualization of results, making it a universal and cost-effective solution for determining reliability characteristics.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Software Engineering
Premathas Somasekaram, Radu Calinescu
Summary: This article presents a novel Bayesian decision network model to improve the failure detection capabilities of high-availability clusters (HACs). By analyzing the characteristics of the components, the model predicts and manages failures, thereby improving the decision-making process and availability of the applications protected by HACs.
SOFTWARE-PRACTICE & EXPERIENCE
(2022)
Article
Engineering, Civil
Xiaojian Zhu, MengChu Zhou
Summary: This study investigates the deployment problem of maximizing weighted target coverage in a rechargeable visual sensor network charged by a UAV in 3D space, ensuring network permanence and satisfying deployment and maintenance budgets. A greedy heuristic and a particle swarm optimizer are proposed to approximately solve this NP-hard problem, with simulation results showing that the latter delivers a better solution despite consuming more time.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Automation & Control Systems
Yourim Yoon, Yong-Hyuk Kim
Summary: The paper proposes a method for deploying sensors by estimating coverage, which can be incorporated into a local search technique and outperforms previous techniques in terms of speed and coverage achieved.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Computer Science, Hardware & Architecture
Qiang Liu
Summary: This article evaluates the coverage reliability of wireless sensor networks from a new perspective using the D-S evidence theory. It establishes a belief-degree-coverage model considering common cause failures and proposes two algorithms to calculate three reliability indexes. The first algorithm, the perimeter coverage algorithm considering interference, shows better complexity compared to others, while the second algorithm, based on Monte Carlo simulation, is easy to program and evaluate parameter influences on coverage reliability.
IEEE TRANSACTIONS ON RELIABILITY
(2021)
Article
Computer Science, Information Systems
Jianxia Guo
Summary: This paper proposes a data topology optimization algorithm based on local tree reconstruction for heterogeneous wireless sensor networks, establishes a modified least-squares target localization model, and proposes an optimal base station node selection strategy based on spectral clustering. The simulation results show that the proposed algorithms effectively address the challenges in data transmission and target localization, providing more accurate results compared to existing algorithms.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2021)
Article
Multidisciplinary Sciences
Muhammad Talha Rahim, Awais Khan, Uman Khalid, Junaid ur Rehman, Haejoon Jung, Hyundong Shin
Summary: Quantum secure metrology protocols utilize quantum effects to achieve enhanced precision and security in probing remote systems. This paper proposes a QSM scheme that employs Bell pairs for unconditional security and offers precision scaling beyond the standard quantum limit. The comparative analysis demonstrates the superiority of the controlled encoding strategy over the parallel encoding of multi-partite entangled states in terms of parameter secrecy. Additionally, a trade-off relationship between maximum achievable precision and security under limited resource availability is identified and characterized. The dynamic scalability of the proposed protocol makes it suitable for large-scale network sensing scenarios.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Theory & Methods
Chao Lu, Xunbo Li, Wenjie Yu, Zhi Zeng, Mingming Yan, Xiang Li
Summary: This paper proposes a wireless sensor network coverage optimization method based on an improved artificial bee colony (ABC) algorithm, which combines the strong global search ability of ABC with the rapid convergence ability of TLBO, maintaining diversity and eliminating parameter limits.
Review
Food Science & Technology
Xiang Wang, Huanhuan Feng, Tao Chen, Shuang Zhao, Jian Zhang, Xiaoshuan Zhang
Summary: This article discusses the importance of quality sensing in F&V cold chain through gas signal, and reviews existing and emerging gas sensor technology, gas signal processing methods, and the application of mathematical models. The findings suggest that gas sensor technology is effective in improving transparency and product quality in F&V cold chain, but existing mathematical models still have limited prediction accuracy and need further improvement to explain the complex interaction between gas and product quality.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Umer Saeed, Syed Yaseen Shah, Adnan Zahid, Jawad Ahmad, Muhammad Ali Imran, Qammer H. Abbasi, Syed Aziz Shah
Summary: Contactless or non-invasive technology has a significant impact on healthcare applications, especially during the COVID-19 pandemic. The use of Software Defined Radio (SDR) and supervised machine learning algorithm provides a platform for effectively detecting and classifying various respiratory patterns with up to 99% accuracy.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Xiaofeng Gao, Jiahao Fan, Fan Wu, Guihai Chen
Summary: This paper investigates the cooperative sweep coverage problem with multiple mobile sensors and the multi-sink sweep coverage problem. Two constant-factor approximations, CoCycle and SinkCycle, are proposed to minimize the maximum sweep period for these two problems, with approximation ratios of 4 and 6, respectively. Additionally, optimal algorithms for the CSC problem and useful insights regarding the MSSC problem are provided. Numerical experiments are conducted to validate the effectiveness and efficiency of the designs.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Qier An, Yuan Shen
Summary: This paper introduces a coverage performance metric considering both perception quality and cover rate, along with a distributed coverage control scheme for mobile anisotropic sensor networks with communication capability. Specific distributed camera coverage control schemes are proposed for anisotropic sensors, focusing on the camera, based on a camera sensing model characterizing the dependence of anisotropic perception trait on relative pose, field of view, and focal length.
IEEE SENSORS JOURNAL
(2021)
Article
Nanoscience & Nanotechnology
Hui Zhi, Xiaobo Zhang, Fengya Wang, Peng Wan, Liang Feng
Summary: The study developed a flexible pressure sensor using a MXene/polyaniline/bacterial cellulose (MXene/PANI/BC) aerogel, capable of monitoring subtle motion signals such as finger bending, wrist bending, and pulse beating, as well as being sensitive to NH3. Bluetooth wireless transmission allows real-time monitoring of pressure distribution on a mobile phone, making it an ideal candidate for e-skins.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Multidisciplinary Sciences
Breno Santana Santos, Ivanovitch Silva, Daniel G. Costa
Summary: This article proposes a novel approach that integrates graph theory, machine learning, and graph embedding to comprehensively evaluate research groups. Traditional methods often fail to capture the complex relationships between evaluated elements, but our methodology transforms publication data into graph structures, visualizing and quantifying relationships between researchers, publications, and institutions. By incorporating symmetry properties, we offer a deeper evaluation of research group cohesiveness and structure over time. This temporal evaluation methodology bridges the gap between unstructured scientometric networks and the evaluation process, making it a valuable tool for decision-making procedures. A case study demonstrates the potential of the proposed approach to provide valuable insights into the dynamics and limitations of research groups, reinforcing its feasibility for supporting decision making in funding agencies and research institutions.
Article
Construction & Building Technology
Joao Paulo Just Peixoto, Daniel G. Costa, Washington de J. S. da Franca Rocha, Paulo Portugal, Francisco Vasques
Summary: This article proposes a method for deploying emergency detection units based on geospatial data, which defines the concept of mitigation zones and uses available urban infrastructure to express the perceived level of urban resilience to emergencies. Four positioning algorithms are proposed to utilize the mitigation zones and available detection units. This approach is applicable to any city with geospatial data and can support various smart city systems, potentially producing significant results in this field.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Engineering, Chemical
Rute Souza de Abreu, Ivanovitch Silva, Yuri Thomas Nunes, Renan C. Moioli, Luiz Affonso Guedes
Summary: This research introduces a novel approach using spiking neural networks (SNNs) combined with the generalized stochastic Petri net (GSPN) model to predict faults in syntactical time series. Comparative evaluation with long short-term memory (LSTM) networks suggests that SNNs offer comparable robustness and performance.
Article
Computer Science, Software Engineering
Joao Paulo Just Peixoto, Daniel G. Costa, Washington de J. S. da Franca Rocha, Paulo Portugal, Francisco Vasques
Summary: CityZones is an online tool that evaluates the emergency response capability of an urban area and computes risk zones based on real data. It allows users to define Areas of Interest (AoI) on a map, which are categorized into low, medium, and high-risk levels. The tool calculates the risk zones within an AoI by considering the distances to hospitals, firefighters, policemen, and metro stations using the OpenStreetMap database. The computed risk zones can be exported and visualized for further analysis, and the tool also suggests ideal positions for emergency detection units within an AoI.
Article
Economics
Gisliany L. A. de Oliveira, Ivanovitch Silva, Luciana Lima, Daniel G. Costa
Summary: This study aims to create a liveability index by combining traditional demographic data and non-traditional data sources from Uber services, in order to support the pursuit of new understandings of a city. A comprehensive analysis was conducted in Natal, Brazil, a city known for its socioeconomic and transport service inequalities. Through the use of data-driven methods, over 4 million trips and Estimated Time of Arrival (ETA) data were processed to evaluate the relationship between ETA and sociodemographic features. The results allowed for the creation and validation of a Composite Indicator of Liveability (CIL) that accurately reflected the socioeconomic characteristics of different areas within the city.
Article
Multidisciplinary Sciences
Joao Paulo Just Peixoto, Daniel G. Costa, Paulo Portugal, Francisco Vasques
Summary: Emergency response plays a critical role in mitigating the impact of disasters and ensuring public safety. This study assesses the emergency response capability of cities in Portugal using a comprehensive geospatial dataset, considering various urban infrastructures and the number of metro/railway stations. The dataset has potential applications in urban planning, resource allocation, and disaster response strategy development.
Proceedings Paper
Computer Science, Information Systems
Gustavo A. A. Coelho, Thiago C. Jesus, Daniel G. Costa
Summary: The rapid urbanization of cities has brought about numerous challenges in terms of essential services and emergency management. In response to these complexities, smart city solutions have emerged, utilizing advanced technologies to automate and improve service quality. This paper proposes a novel urban multiple emergency detection system based on wireless sensor networks and the Internet of Things, featuring hierarchical and collaborative characteristics to achieve accurate and energy-efficient urban emergency detection.
2023 XIII BRAZILIAN SYMPOSIUM ON COMPUTING SYSTEMS ENGINEERING, SBESC
(2023)
Article
Computer Science, Interdisciplinary Applications
Joao Paulo Just Peixoto, Joao Carlos N. Bittencourt, Thiago C. Jesus, Daniel G. Costa, Paulo Portugal, Francisco Vasques
Summary: This article explores the use of multi-sensor Emergency Detection Units (EDUs) to improve urban emergency response. By leveraging data-driven approaches and geospatial data, the positioning of these units can be optimized. Additionally, the coverage area of existing networks is modeled, and the EDUs are fine-tuned based on connectivity requirements to enhance the effectiveness of emergency management systems.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2024)
Proceedings Paper
Transportation Science & Technology
Marianne Silva, Thais Medeiros, Mariana Azevedo, Morsinaldo Medeiros, Mikael Themoteo, Tatiane Gois, Ivanovitch Silva, Daniel G. Costa
Summary: The integration of IoT technologies in the automotive sector has impacted driver behavior research, and a new unsupervised online algorithm is proposed for detecting driver behavior patterns, suitable for low-power IoT devices.
2023 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AUTOMOTIVE, METROAUTOMOTIVE
(2023)
Proceedings Paper
Transportation Science & Technology
Goncalo M. d. Santos, Daniel G. Costa
Summary: As technology advances and complex systems are developed, the demand for systems to adhere to multiple requirements is increasing. This is particularly significant in safety-critical automotive systems, especially in highly interconnected smart cities. This paper surveys the state-of-the-art in the field of AUTOSAR, focusing on key concepts and their relevance to the most critical challenges of today. The key issues of smart mobility, including common implementation problems and security concerns in interconnected urban scenarios, are addressed.
2023 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AUTOMOTIVE, METROAUTOMOTIVE
(2023)
Proceedings Paper
Transportation Science & Technology
Thommas Flores, Marianne Silva, Mariana Azevedo, Thais Medeiros, Morsinaldo Medeiros, Ivanovitch Silva, Max Mauro Dias Santos, Daniel G. Costa
Summary: This paper proposes a developed driver distraction detection system that achieves high accuracy and low latency, while requiring minimal computational resources. The system utilizes TinyML algorithms and is developed with the support of the Edge Impulse platform, deployed on an Arduino Portenta H7 board.
2023 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AUTOMOTIVE, METROAUTOMOTIVE
(2023)
