安全科学与韧性(英文)最新文献_第7页

DDC-Chat: Achieving accurate distracted driver classification through instruction tuning of visual language model DDC-Chat：通过视觉语言模型的指令调优，实现对分心司机的准确分类

IF 3.7

安全科学与韧性(英文) Pub Date : 2025-06-01 Epub Date: 2024-11-22 DOI: 10.1016/j.jnlssr.2024.10.001

Chupei Liao, Kuoyi Lin

{"title":"DDC-Chat: Achieving accurate distracted driver classification through instruction tuning of visual language model","authors":"Chupei Liao, Kuoyi Lin","doi":"10.1016/j.jnlssr.2024.10.001","DOIUrl":"10.1016/j.jnlssr.2024.10.001","url":null,"abstract":"<div><div>Driver behavior is a critical factor in road safety, highlighting the need for advanced methods in <strong>D</strong>istracted <strong>D</strong>riving <strong>C</strong>lassification (DDC). In this study, we introduce DDC-Chat, a novel classification method based on a <strong>V</strong>isual large <strong>L</strong>anguage <strong>M</strong>odel (VLM). DDC-Chat is an interactive multimodal system built upon LLAVA-Plus, fine-tuned specifically for addressing distracted driving detection. It utilizes logical reasoning chains to activate visual skills, including segmentation and pose detection, through end-to-end training. Furthermore, instruction tuning allows DDC-Chat to continuously incorporate new visual skills, enhancing its ability to classify distracted driving behavior. Our extensive experiments demonstrate that DDC-Chat achieves state-of-the-art performance on public DDC datasets, surpassing previous benchmarks. In evaluations on the 100-Driver dataset, the model exhibits superior results in both zero-shot and few-shot learning contexts, establishing it as a valuable tool for improving driving safety by accurately identifying driver distraction. Due to the computational intensity of inference, DDC-Chat is optimized for deployment on remote servers, with data streamed from in-vehicle monitoring systems for real-time analysis.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 2","pages":"Pages 250-264"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SH17: A dataset for human safety and personal protective equipment detection in manufacturing industry SH17：制造业人身安全和个人防护装备检测数据集

IF 3.7

安全科学与韧性(英文) Pub Date : 2025-06-01 Epub Date: 2024-11-28 DOI: 10.1016/j.jnlssr.2024.09.002

Hafiz Mughees Ahmad, Afshin Rahimi

{"title":"SH17: A dataset for human safety and personal protective equipment detection in manufacturing industry","authors":"Hafiz Mughees Ahmad, Afshin Rahimi","doi":"10.1016/j.jnlssr.2024.09.002","DOIUrl":"10.1016/j.jnlssr.2024.09.002","url":null,"abstract":"<div><div>Workplace accidents continue to pose significant human safety risks, particularly in the construction and manufacturing industries. The necessity for effective Personal Protective Equipment (PPE) compliance has become increasingly paramount. We focus on developing non-invasive techniques based on the Object Detection (OD) and Convolutional Neural Network (CNN). The aim is to detect and verify the proper use of various types of PPE such as helmets, safety glasses, masks, and protective clothing. This study proposes the SH17 Dataset, consisting of 8,099 annotated images containing 75,994 instances of 17 classes collected from diverse industrial environments, to train and validate the OD models. We have trained state-of-the-art OD models for benchmarking, and initial results demonstrate promising accuracy levels with You Only Look Once (YOLO)v9-e model variant exceeding 70.9% in PPE detection. The validation of the model across cross-domain datasets indicates that integrating these technologies can substantially enhance safety management systems. This approach offers a scalable and efficient solution for industries seeking to comply with human safety regulations while safeguarding their workforce. The dataset is available at <span><span>https://github.com/ahmadmughees/sh17dataset</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 2","pages":"Pages 175-185"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risk forecasting for shortfalls in achieving sustainable development goals: A corruption perspective 实现可持续发展目标不足的风险预测：一个腐败的视角

IF 3.7

安全科学与韧性(英文) Pub Date : 2025-06-01 Epub Date: 2025-02-24 DOI: 10.1016/j.jnlssr.2024.10.003

Abroon Qazi

{"title":"Risk forecasting for shortfalls in achieving sustainable development goals: A corruption perspective","authors":"Abroon Qazi","doi":"10.1016/j.jnlssr.2024.10.003","DOIUrl":"10.1016/j.jnlssr.2024.10.003","url":null,"abstract":"<div><div>Understanding the relationship between corruption and Sustainable Development Goals (SDGs) is essential for comprehensively addressing sustainable development challenges. Corruption, with its damaging impact on governance, institutions, and public trust, poses a substantial barrier to achieving the SDGs. This study investigates the interconnections between corruption risk at the country level and the risks associated with achieving the SDGs. A Bayesian belief network model is developed using two datasets related to country-level sustainability and corruption performance. The model yields an 86.3 % accuracy in predicting outcomes for the two extreme levels of corruption risk. The findings indicate that the “high risk” state of corruption can significantly hinder progress on the “good health and well-being,” “zero hunger”, and “peace, justice and strong institutions” SDGs. Conversely, the “low risk” state of corruption can significantly enhance performance on the “sustainable cities and communities”, “zero hunger”, and “no poverty” SDGs. This study's exploration of the interconnected relationship between corruption and SDG risks offers valuable insights for policymakers. Its contribution lies in examining the dependencies between corruption and sustainability from a risk science perspective, capturing interactions across all 17 SDGs.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 2","pages":"Pages 237-249"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The value of a statistical life in assessing seismic resilience enhancement policies: A stated preference binary choice experiment 统计寿命在评估地震恢复力增强政策中的价值：一个陈述偏好二元选择实验

IF 3.7

安全科学与韧性(英文) Pub Date : 2025-06-01 Epub Date: 2024-11-16 DOI: 10.1016/j.jnlssr.2024.09.003

Mohammad Amin Eshghi Nezami, Hamed Kashani

{"title":"The value of a statistical life in assessing seismic resilience enhancement policies: A stated preference binary choice experiment","authors":"Mohammad Amin Eshghi Nezami, Hamed Kashani","doi":"10.1016/j.jnlssr.2024.09.003","DOIUrl":"10.1016/j.jnlssr.2024.09.003","url":null,"abstract":"<div><div>To decide about investments in appropriate seismic vulnerability reduction and resilience enhancement measures, policymakers need to acquire adequate insight into the value of a statistical life (VSL). The VSL measures the monetary value the public assigns to reducing mortality due to a specific risk (e.g., dying from an earthquake) over a given period. In the absence of appropriate models to estimate the context-specific VSL for a given community, past studies have resorted to approaches such as using the VSL estimated for other purposes (e.g., transportation and environmental safety) or other countries (e.g., the US). This can lead to under- or over-estimation of VSL, misappropriation of the funds for seismic vulnerability reduction programs, and adverse economic, political, and social consequences. This study proposes a methodology that follows the stated preference binary choice approach to estimate the willingness to pay (WTP) to reduce the risk of earthquake-induced mortalities. The proposed method, which is applied to quantify VSL in Iran, involves using a questionnaire to collect the needed information about people's choices when investing in various risk reduction measures. It uses a test containing positivity and proportionality components to check the responses’ consistency. Regression modeling is used to estimate the respondents’ WTP and VSL.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 2","pages":"Pages 150-162"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143636732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Clutaxis: An information-driven source search method balancing exploration and exploitation in turbulent environments Clutaxis：一种在动荡环境中平衡勘探和开发的信息驱动的资源搜索方法

IF 3.7

安全科学与韧性(英文) Pub Date : 2025-06-01 Epub Date: 2024-09-25 DOI: 10.1016/j.jnlssr.2024.09.001

Runkang Guo, Yong Zhao, Yatai Ji, Mengyu Yan, Zhengqiu Zhu

{"title":"Clutaxis: An information-driven source search method balancing exploration and exploitation in turbulent environments","authors":"Runkang Guo, Yong Zhao, Yatai Ji, Mengyu Yan, Zhengqiu Zhu","doi":"10.1016/j.jnlssr.2024.09.001","DOIUrl":"10.1016/j.jnlssr.2024.09.001","url":null,"abstract":"<div><div>Locating unknown emission sources in turbulent environments is a challenging yet crucial task, particularly in emergency response scenarios. Existing studies have developed information-theoretic approaches to fuse intermittent information collected by mobile sensors regarding the sources. This fused information is then used to support source-term estimation (STE) in various search algorithms. Among these, the cognitive strategy—a promising information-driven search algorithm—leverages a reward-based action selection mechanism to balance exploration and exploitation during each search step. However, this mechanism is hampered by a high computational load and rigid search trajectories, limiting its application in real-world systems. To address these issues, this paper proposes a novel information-driven search method called Clutaxis, based on a global exploration and exploitation tradeoff principle. Specifically, a particle filter is leveraged to maintain the STE. After projecting the particle filter samples onto a 2D search scene, the density-based spatial clustering of applications with noise (DBSCAN) algorithm is used to extract the density information of the samples, which is then used to construct a belief source area (BSA). By leveraging the uncertainty of the BSA, Clutaxis adopts explorative or exploitative actions with no restrictions on motion direction. Through dedicated simulations, the experimental results demonstrate the robustness of Clutaxis to key parameters and its advantages in computational complexity and search performance compared to two state-of-the-art algorithms (Infotaxis and Entrotaxis) and two Clutaxis variants (Clutaxis_ER and Clutaxis_EI).</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 2","pages":"Pages 125-137"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cost-aware strategies for enhancing energy resilience in microgrids via stationary and mobile resources 通过固定和移动资源增强微电网能源弹性的成本意识战略

IF 3.7

安全科学与韧性(英文) Pub Date : 2025-06-01 Epub Date: 2024-12-18 DOI: 10.1016/j.jnlssr.2024.10.002

S.M. Safayet Ullah , Kouhyar Sheida , Farzad Ferdowsi , Terrence Chambers

{"title":"Cost-aware strategies for enhancing energy resilience in microgrids via stationary and mobile resources","authors":"S.M. Safayet Ullah , Kouhyar Sheida , Farzad Ferdowsi , Terrence Chambers","doi":"10.1016/j.jnlssr.2024.10.002","DOIUrl":"10.1016/j.jnlssr.2024.10.002","url":null,"abstract":"<div><div>The primary goal of this research study is to enhance energy resilience with a focus on cost efficiency. To achieve this objective, two key objectives have been identified: (1) reducing unserved loads, and (2) implementing cost-effective resource allocation strategies. A high-fidelity detailed model of a solar plus storage microgrid is developed to simulate a variety of what-if scenarios. This model is based on the conceptual design of a campus microgrid facility, which is slated for commissioning at UL Lafayette in close collaboration with a local power utility. The study examines the microgrid’s performance under different configurations, including both stationary battery and mobile battery storage options. To ensure the realism of the scenarios, real solar data from specific days following the occurrence of three major hurricanes in Louisiana is utilized. The analysis includes an assessment of unserved loads under various scenarios, as well as an investigation into the resilience impact of investment decisions and the planning and operation of mobile storage systems. The results indicate the proposed planning and operation will improve resilience while staying within the profitable range. The resilience is quantified and compared with other scenarios providing an insightful planning framework for decision-makers.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 2","pages":"Pages 163-174"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143792727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Steganographic model to conceal the secret data in audio files utilizing a fourfold paradigm: Interpolation, multi-layering, optimized sample space, and smoothing 隐写模型，以隐藏秘密数据的音频文件利用四重范式：插值，多层，优化样本空间，平滑

IF 3.7

安全科学与韧性(英文) Pub Date : 2025-06-01 Epub Date: 2024-11-15 DOI: 10.1016/j.jnlssr.2024.09.004

Daffa Tristan Firdaus , Ntivuguruzwa Jean De La Croix , Tohari Ahmad , Didacienne Mukanyiligira , Louis Sibomana

{"title":"Steganographic model to conceal the secret data in audio files utilizing a fourfold paradigm: Interpolation, multi-layering, optimized sample space, and smoothing","authors":"Daffa Tristan Firdaus , Ntivuguruzwa Jean De La Croix , Tohari Ahmad , Didacienne Mukanyiligira , Louis Sibomana","doi":"10.1016/j.jnlssr.2024.09.004","DOIUrl":"10.1016/j.jnlssr.2024.09.004","url":null,"abstract":"<div><div>Audio steganography techniques are evaluated using performance metrics such as payload capacity, stego audio file quality, and security (imperceptibility of hidden data). Increasing payload capacity often reduces stego image quality and security. However, maintaining high-quality stego audio with high imperceptibility requires compromising payload capacity. Therefore, achieving a balanced trade-off between payload capacity and stego audio quality has become essential but increasingly challenging. Current methods often lack adaptiveness, potentially compromising both embedding capacity and stego audio quality. To address these limitations, this study offers valuable insights to guide researchers in developing high-performing audio steganography models. The proposed method seeks to improve stego audio quality by implementing a smoothing-based technique and optimizing the sample space through linear interpolation, followed by a multi-layering process. Comprehensive experiments are conducted on common audio datasets to benchmark the method against state-of-the-art techniques. The results demonstrate peak signal-to-noise ratio (PSNR) values ranging from 105.14 to 126.34 dB, indicating substantial fidelity preservation compared to existing methods with PSNR values ranging from 120.55 decibel (dB) for 1 kb to 100.57 dB for 100 kb. These findings confirm the effectiveness of the model in maintaining audio quality while concealing data. Moreover, this study recommends that practitioners in steganography with audio data prioritize data concealment algorithms that enhance security over stego audio quality.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 2","pages":"Pages 138-149"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Emergency scenario modeling for the analysis of dynamic risks in business parks 商业园区动态风险分析的应急情景建模

IF 3.7

安全科学与韧性(英文) Pub Date : 2025-06-01 Epub Date: 2025-01-27 DOI: 10.1016/j.jnlssr.2024.11.002

Rodríguez Pillaga Renán Teodoro , Bañuls Víctor A．

{"title":"Emergency scenario modeling for the analysis of dynamic risks in business parks","authors":"Rodríguez Pillaga Renán Teodoro , Bañuls Víctor A．","doi":"10.1016/j.jnlssr.2024.11.002","DOIUrl":"10.1016/j.jnlssr.2024.11.002","url":null,"abstract":"<div><div>This study is novel, as it aims to generate an emergency scenario model for the analysis of dynamic risks in business parks to help decision-makers provide an optimal response in any emergency. To this end, the CIA-ISM methodology, which is the combination of Cross-Impact Analysis (CIA) and Interpretative Structural Model (ISM), allows the representation of all possible connections among risks, as well as representing real events under conditions of uncertainty. The proposed model integrates the use of an information system for the generation of multiple emergency scenarios that include the capture of complex interactions among agents, resources and variable environmental conditions. The results highlight the capacity of the proposed emergency scenario model based on CIA-ISM for the analysis of dynamic risks in business parks, identification of hidden vulnerabilities and evaluation of mitigation strategies in real-time. This study not only expands the theoretical knowledge of emergency management but also provides a useful tool to improve preparedness and response capacity in the face of adverse events in dynamic and complex environments.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 2","pages":"Pages 265-279"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ada-GCNLSTM: An adaptive urban crime spatiotemporal prediction model Ada-GCNLSTM：自适应城市犯罪时空预测模型

IF 3.7

安全科学与韧性(英文) Pub Date : 2025-06-01 Epub Date: 2025-02-14 DOI: 10.1016/j.jnlssr.2024.11.003

Miaoxuan Shan , Chunlin Ye , Peng Chen , Shufan Peng

{"title":"Ada-GCNLSTM: An adaptive urban crime spatiotemporal prediction model","authors":"Miaoxuan Shan , Chunlin Ye , Peng Chen , Shufan Peng","doi":"10.1016/j.jnlssr.2024.11.003","DOIUrl":"10.1016/j.jnlssr.2024.11.003","url":null,"abstract":"<div><div>Accurate crime prediction is crucial for the proactive allocation of law enforcement resources and ensuring urban safety. A major challenge in achieving accurate predictions lies in identifying generalized patterns of criminal behavior from spatiotemporal features in crime data. Additionally, the inherent randomness and volatility of crime data at the spatiotemporal level introduce noise, which can mislead prediction models. While many effective spatiotemporal crime prediction methods have been proposed, most overlook this issue, reducing their ability to generalize. In this paper, we introduce a novel deep learning-based model, adaptive-GCNLSTM (Ada-GCNLSTM). Specifically, in the spatial feature extraction module, we enhance the model's ability to capture crime spatial distributions by leveraging graph convolutional networks to model spatial dependencies in conjunction with the maximum mean discrepancy to extract the universal features of crime data. We then incorporate a memory network based on long short-term memory network to capture the underlying relationships between temporal features. Through extensive experiments, our model demonstrates an average improvement of 11.7% in mean absolute error and 2.7% in root mean squared error across the three datasets, outperforming the best baseline model. These results underscore the effectiveness of our approach in enhancing crime prediction accuracy.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 2","pages":"Pages 226-236"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatio-temporal prediction of terrorist attacks based on GCN-LSTM 基于 GCN-LSTM 的恐怖袭击时空预测

IF 3.7

安全科学与韧性(英文) Pub Date : 2025-06-01 Epub Date: 2025-04-07 DOI: 10.1016/j.jnlssr.2025.02.005

Yingjie Du , Ning Ding , Hongyu Lv

引用次数: 0