Pub Date : 2024-11-08DOI: 10.1016/j.jestch.2024.101881
Serdar Yıldız
In the advancing field of computer vision, scene text recognition (STR) has been progressively gaining prominence. Despite this progress, the lack of a comprehensive study or a suitable dataset for STR, particularly for languages like Turkish, stands out. Existing datasets, regardless of the language, tend to grapple with issues such as limited sample quantity and high noise levels, which considerably restrict the progression and overall efficacy of STR research and applications. Addressing these shortcomings, we introduce the Turkish Scene Text Recognition (TS-TR) dataset, one of the most substantial STR datasets to date, comprising 7288 text instances. In addition, we propose the Synthetic Turkish Scene Text Recognition (STS-TR) dataset, an enormous collection of 12 million samples created using a novel histogram-based method, more efficient than common synthetic data generation methods. Moreover, we present a novel recognition model, the Masked Vision Transformer for Text Recognition (MViT-TR), which achieves a word accuracy of 94.42% on the challenging TS-TR test dataset, underlining its robustness and performance efficacy. We extend our investigation to the influence of synthetic datasets, the utilization of patch masking, and the function of the position attention module on recognition performance. To foster future STR research, we have made all datasets and source codes publicly available.
{"title":"Turkish scene text recognition: Introducing extensive real and synthetic datasets and a novel recognition model","authors":"Serdar Yıldız","doi":"10.1016/j.jestch.2024.101881","DOIUrl":"10.1016/j.jestch.2024.101881","url":null,"abstract":"<div><div>In the advancing field of computer vision, scene text recognition (STR) has been progressively gaining prominence. Despite this progress, the lack of a comprehensive study or a suitable dataset for STR, particularly for languages like Turkish, stands out. Existing datasets, regardless of the language, tend to grapple with issues such as limited sample quantity and high noise levels, which considerably restrict the progression and overall efficacy of STR research and applications. Addressing these shortcomings, we introduce the Turkish Scene Text Recognition (TS-TR) dataset, one of the most substantial STR datasets to date, comprising 7288 text instances. In addition, we propose the Synthetic Turkish Scene Text Recognition (STS-TR) dataset, an enormous collection of 12 million samples created using a novel histogram-based method, more efficient than common synthetic data generation methods. Moreover, we present a novel recognition model, the Masked Vision Transformer for Text Recognition (MViT-TR), which achieves a word accuracy of 94.42% on the challenging TS-TR test dataset, underlining its robustness and performance efficacy. We extend our investigation to the influence of synthetic datasets, the utilization of patch masking, and the function of the position attention module on recognition performance. To foster future STR research, we have made all datasets and source codes publicly available.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"60 ","pages":"Article 101881"},"PeriodicalIF":5.1,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-01DOI: 10.1016/j.jestch.2024.101886
Mohammad Yavari, Mohammadamin Mohtashamnia
In this paper, a fully-differential class A single-stage CMOS operational transconductance amplifier (OTA) is presented for high-speed switched-capacitor (SC) applications. The main target is to improve both large and small signal parameters in order to achieve a fast-settling performance with sufficient accuracy in SC circuits without needing more power dissipation. Several techniques including the current recycling, phase margin enhancement using high-speed current mirrors, and cross-coupled local positive feedback transistors are employed in the traditional folded-cascode amplifier (FCA) to realize a multi-path single-stage OTA with increased unity-gain frequency, slew rate, and DC gain. Detailed analytical calculations and circuit level simulation results are collected to compare the suggested OTA with alternatives. Based on the analytical calculations, the proposed amplifier significantly outperforms the traditional folded-cascode OTA regarding both large-signal and small-signal parameters. The suggested OTA is simulated in TSMC 65 nm CMOS technology in a SC integrator configuration to verify its usefulness. According to the simulation results, the DC gain, unity-gain bandwidth, and slew rate of the proposed OTA are improved about 22.9 dB, 576 %, 241 %, respectively, compared to the conventional FCA with almost the same power dissipation and other similar simulation conditions. The proposed OTA can be utilized in fast-settling switched-capacitor circuits as well.
本文介绍了一种用于高速开关电容器（SC）应用的全差分 A 类单级 CMOS 运算跨导放大器（OTA）。其主要目标是改进大信号和小信号参数，以便在不需要更多功率耗散的情况下，在 SC 电路中实现具有足够精度的快速沉降性能。在传统的折叠级联放大器（FCA）中采用了包括电流回收、利用高速电流镜增强相位裕度和交叉耦合本地正反馈晶体管在内的多项技术，以实现具有更高的单位增益频率、压摆率和直流增益的多路径单级 OTA。我们收集了详细的分析计算和电路级仿真结果，将建议的 OTA 与其他替代方案进行了比较。根据分析计算结果，建议的放大器在大信号和小信号参数方面都明显优于传统的折叠级联 OTA。为了验证所建议的 OTA 的实用性，在 SC 积分器配置中采用 TSMC 65 nm CMOS 技术对其进行了仿真。仿真结果表明，在功率耗散几乎相同和其他仿真条件相似的情况下，与传统 FCA 相比，所建议的 OTA 的直流增益、单位增益带宽和回转率分别提高了约 22.9 dB、576 % 和 241 %。拟议的 OTA 也可用于快速沉降开关电容器电路。
{"title":"A fully-differential improved recycling folded-cascode amplifier for fast-settling switched-capacitor applications","authors":"Mohammad Yavari, Mohammadamin Mohtashamnia","doi":"10.1016/j.jestch.2024.101886","DOIUrl":"10.1016/j.jestch.2024.101886","url":null,"abstract":"<div><div>In this paper, a fully-differential class A single-stage CMOS operational transconductance amplifier (OTA) is presented for high-speed switched-capacitor (SC) applications. The main target is to improve both large and small signal parameters in order to achieve a fast-settling performance with sufficient accuracy in SC circuits without needing more power dissipation. Several techniques including the current recycling, phase margin enhancement using high-speed current mirrors, and cross-coupled local positive feedback transistors are employed in the traditional folded-cascode amplifier (FCA) to realize a multi-path single-stage OTA with increased unity-gain frequency, slew rate, and DC gain. Detailed analytical calculations and circuit level simulation results are collected to compare the suggested OTA with alternatives. Based on the analytical calculations, the proposed amplifier significantly outperforms the traditional folded-cascode OTA regarding both large-signal and small-signal parameters. The suggested OTA is simulated in TSMC 65 nm CMOS technology in a SC integrator configuration to verify its usefulness. According to the simulation results, the DC gain, unity-gain bandwidth, and slew rate of the proposed OTA are improved about 22.9 dB, 576 %, 241 %, respectively, compared to the conventional FCA with almost the same power dissipation and other similar simulation conditions. The proposed OTA can be utilized in fast-settling switched-capacitor circuits as well.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"59 ","pages":"Article 101886"},"PeriodicalIF":5.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142650860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-01DOI: 10.1016/j.jestch.2024.101884
M. Hasim Kisa , S. Bahadir Yuksel , Ramazan Özmen
Due to design considerations, reinforced concrete (RC) shear walls, with narrow cross-sections containing excessive steel reinforcing bars, are commonly used in tall buildings for seismic resistance to produce functional floor plans. However, as is particularly evident in the end region components of the RC shear walls, bulky reinforcement can lead to difficulties in concrete pouring and cause concrete segregation. Accordingly, this study concentrates on the numerical investigation of composite shear wall behavior created using cold-formed steel sheet (CFSS) elements under cyclic loading. Three composite shear wall test specimens, having L-shaped CFSSs utilized in the shear wall end regions, were modeled on a 1/3 scale with ABAQUS finite element analysis software. The specimens’ crack propagation behavior was investigated at each loading stage in the numerical analyses and validated with experiments. Furthermore, the lateral force-top displacement relationship was used to assess the wall’s behaviors. According to the results, the modeling approach accurately simulates the composite shear wall’s behavior. Finally, a parametric analysis was performed with the verified numerical simulations to examine the effect of the CFSS elements’ material properties on the composite shear walls. The parametric studies revealed that the steel sheets’ yield strength and position from the neutral axis affected the shear walls’ lateral load-bearing capacity.
{"title":"Experimentally validated numerical investigation on the behavior of composite shear walls subjected to cyclic loading","authors":"M. Hasim Kisa , S. Bahadir Yuksel , Ramazan Özmen","doi":"10.1016/j.jestch.2024.101884","DOIUrl":"10.1016/j.jestch.2024.101884","url":null,"abstract":"<div><div>Due to design considerations, reinforced concrete (RC) shear walls, with narrow cross-sections containing excessive steel reinforcing bars, are commonly used in tall buildings for seismic resistance to produce functional floor plans. However, as is particularly evident in the end region components of the RC shear walls, bulky reinforcement can lead to difficulties in concrete pouring and cause concrete segregation. Accordingly, this study concentrates on the numerical investigation of composite shear wall behavior created using cold-formed steel sheet (CFSS) elements under cyclic loading. Three composite shear wall test specimens, having L-shaped CFSSs utilized in the shear wall end regions, were modeled on a 1/3 scale with ABAQUS finite element analysis software. The specimens’ crack propagation behavior was investigated at each loading stage in the numerical analyses and validated with experiments. Furthermore, the lateral force-top displacement relationship was used to assess the wall’s behaviors. According to the results, the modeling approach accurately simulates the composite shear wall’s behavior. Finally, a parametric analysis was performed with the verified numerical simulations to examine the effect of the CFSS elements’ material properties on the composite shear walls. The parametric studies revealed that the steel sheets’ yield strength and position from the neutral axis affected the shear walls’ lateral load-bearing capacity.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"59 ","pages":"Article 101884"},"PeriodicalIF":5.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142650861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-01DOI: 10.1016/j.jestch.2024.101883
Salih Turk , Ozkan Bingol , Ahmet Coskuncay , Tolga Aydin
X-ray imaging is widely utilized for the detection of bone fractures due to its affordability, rapid processing capabilities, broad accessibility, and ease of use. Despite these advantages, the intricate analysis of X-ray images necessitates advanced computational techniques to fully exploit their rich informational content. Notably, accurate segmentation of these images plays a critical role in aiding medical professionals with precise diagnoses and effective treatment planning. This study examines the impact of integrating different backbone architectures for the task of fracture segmentation in X-ray images. Specifically, the research focuses on enhancing the widely-used DeepLabV3 model by incorporating pre-trained networks such as ResNet50, ResNet101, and MobileNetV3 into the encoder component to improve feature extraction and segmentation accuracy. The FracAtlas dataset, which presents unique challenges due to its small size and the diversity of fractures from various anatomical regions, was employed for model evaluation. Data augmentation techniques were implemented to expand the dataset, and an additional subset focusing on cropped images of fracture areas was developed. The models were trained over 50 epochs, and their performance was assessed using metrics such as Intersection over Union (IoU), loss values, and Dice scores. The results indicate that the DeepLabV3 model with ResNet-based backbones achieved IoU values exceeding 0.93 on the original dataset and demonstrated outstanding performance on the augmented and cropped datasets, with AUC values reaching up to 0.99. The study also highlights the computational complexity of the models, with ResNet101 exhibiting the highest time complexity, while MobileNetV3 was the most efficient in terms of processing time and memory consumption.
X 射线成像因其经济实惠、快速处理能力、广泛的可及性和易用性而被广泛用于骨折检测。尽管具有这些优势，但要对 X 射线图像进行复杂的分析，就必须采用先进的计算技术，以充分利用其丰富的信息内容。值得注意的是，这些图像的精确分割在帮助医疗专业人员进行精确诊断和有效治疗规划方面起着至关重要的作用。本研究探讨了集成不同骨干架构对 X 光图像中骨折分割任务的影响。具体来说，研究重点是通过将 ResNet50、ResNet101 和 MobileNetV3 等预先训练好的网络整合到编码器组件中来增强广泛使用的 DeepLabV3 模型，从而提高特征提取和分割精度。FracAtlas 数据集因其规模小和来自不同解剖区域的骨折的多样性而具有独特的挑战性，该数据集被用于模型评估。我们采用了数据扩增技术来扩展数据集，并开发了一个额外的子集，重点关注断裂区域的裁剪图像。对模型进行了 50 个历时的训练，并使用联合交叉（IoU）、损失值和 Dice 分数等指标对模型的性能进行了评估。结果表明，基于 ResNet 骨干的 DeepLabV3 模型在原始数据集上的 IoU 值超过了 0.93，在增强和裁剪数据集上表现出色，AUC 值高达 0.99。研究还强调了模型的计算复杂度，其中 ResNet101 的时间复杂度最高，而 MobileNetV3 在处理时间和内存消耗方面效率最高。
{"title":"The impact of implementing backbone architectures on fracture segmentation in X-ray images","authors":"Salih Turk , Ozkan Bingol , Ahmet Coskuncay , Tolga Aydin","doi":"10.1016/j.jestch.2024.101883","DOIUrl":"10.1016/j.jestch.2024.101883","url":null,"abstract":"<div><div>X-ray imaging is widely utilized for the detection of bone fractures due to its affordability, rapid processing capabilities, broad accessibility, and ease of use. Despite these advantages, the intricate analysis of X-ray images necessitates advanced computational techniques to fully exploit their rich informational content. Notably, accurate segmentation of these images plays a critical role in aiding medical professionals with precise diagnoses and effective treatment planning. This study examines the impact of integrating different backbone architectures for the task of fracture segmentation in X-ray images. Specifically, the research focuses on enhancing the widely-used DeepLabV3 model by incorporating pre-trained networks such as ResNet50, ResNet101, and MobileNetV3 into the encoder component to improve feature extraction and segmentation accuracy. The FracAtlas dataset, which presents unique challenges due to its small size and the diversity of fractures from various anatomical regions, was employed for model evaluation. Data augmentation techniques were implemented to expand the dataset, and an additional subset focusing on cropped images of fracture areas was developed. The models were trained over 50 epochs, and their performance was assessed using metrics such as Intersection over Union (IoU), loss values, and Dice scores. The results indicate that the DeepLabV3 model with ResNet-based backbones achieved IoU values exceeding 0.93 on the original dataset and demonstrated outstanding performance on the augmented and cropped datasets, with AUC values reaching up to 0.99. The study also highlights the computational complexity of the models, with ResNet101 exhibiting the highest time complexity, while MobileNetV3 was the most efficient in terms of processing time and memory consumption.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"59 ","pages":"Article 101883"},"PeriodicalIF":5.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142650859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-01DOI: 10.1016/S2215-0986(24)00291-X
{"title":"Front Matter 1 - Full Title Page (regular issues)/Special Issue Title page (special issues)","authors":"","doi":"10.1016/S2215-0986(24)00291-X","DOIUrl":"10.1016/S2215-0986(24)00291-X","url":null,"abstract":"","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"59 ","pages":"Article 101905"},"PeriodicalIF":5.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142650856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-01DOI: 10.1016/j.jestch.2024.101852
Van Chung Nguyen , Hue Luu Thi , Hoa Bui Thi Khanh , Huy Nguyen Danh , Dai Pham Duc , Tung Lam Nguyen
This paper proposed a motion planning scheme, a nonlinear controller integrated with an observer for a three-dimensional overhead crane (3DOC) nonlinear system. The designed motion planning considering system constraints and providing time-optimal, collision-free navigation in three dimensions is presented. Furthermore, the 3DOC system is characterized as a highly nonlinear, uncertain system and is always heavily influenced by external disturbances, the system variables are also partially measured using sensors. To solve all these problems, a second-order sliding controller (SO-SMC) based on an extended state observer (ESO) is formulated to solve the problem of uncertainty, disturbance, and furnishing a state estimation mechanism for the 3DOC nonlinear system. The closed-loop system, which consists of the extended state observer and the second-order sliding control stability, is verified via Lyapunov’s stability. Comprehensive simulations, experiments, and comparisons with existing methods are conducted under four cases with the presence of obstacles to demonstrate the observer’s quality and showcase the effectiveness of the proposed methods.
{"title":"An integrated solution for 3D overhead cranes: Time-optimal motion planning, obstacle avoidance, and anti-swing","authors":"Van Chung Nguyen , Hue Luu Thi , Hoa Bui Thi Khanh , Huy Nguyen Danh , Dai Pham Duc , Tung Lam Nguyen","doi":"10.1016/j.jestch.2024.101852","DOIUrl":"10.1016/j.jestch.2024.101852","url":null,"abstract":"<div><div>This paper proposed a motion planning scheme, a nonlinear controller integrated with an observer for a three-dimensional overhead crane (3DOC) nonlinear system. The designed motion planning considering system constraints and providing time-optimal, collision-free navigation in three dimensions is presented. Furthermore, the 3DOC system is characterized as a highly nonlinear, uncertain system and is always heavily influenced by external disturbances, the system variables are also partially measured using sensors. To solve all these problems, a second-order sliding controller (SO-SMC) based on an extended state observer (ESO) is formulated to solve the problem of uncertainty, disturbance, and furnishing a state estimation mechanism for the 3DOC nonlinear system. The closed-loop system, which consists of the extended state observer and the second-order sliding control stability, is verified via Lyapunov’s stability. Comprehensive simulations, experiments, and comparisons with existing methods are conducted under four cases with the presence of obstacles to demonstrate the observer’s quality and showcase the effectiveness of the proposed methods.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"59 ","pages":"Article 101852"},"PeriodicalIF":5.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-01DOI: 10.1016/j.jestch.2024.101879
Chuanfeng Liang , Rongliang Shi , Chengwei Ju , Jun hui Li , Yu Zhang
The single-machine grid-connected grid-forming virtual synchronous generator (GFVSG) small signal mathematical model is divided into full-order and second-order small signal mathematical models according to whether power calculation, voltage plus current bottom double loop and AC filtering are considered in the modeling process. And the difference of mathematical models has an important impact on the accurate analysis of GFVSG grid-connected active power dynamic response characteristics (GCAP-DRCs). For this reason, the full-order and second-order small signal mathematical models of GFVSG grid-connected system are established, then their GCAP-DRCs are compared and analyzed. The results show that the second-order model and the full-order model of GFVSG grid-connected system have similar GCAP-DRCs, thus the second-order model can be directly used to replace the full-order model to study the GCAP-DRCs of GFVSG grid-connected system in engineering applications, so as to simplify the theoretical analysis process. Finally, the correctness of the mathematical model and theoretical analysis is verified by using MATLAB/Simulink software simulation and experiment.
{"title":"Small-signal modeling and characteristic comparative analysis for a single grid-connected grid-forming VSG with full-order and second-order","authors":"Chuanfeng Liang , Rongliang Shi , Chengwei Ju , Jun hui Li , Yu Zhang","doi":"10.1016/j.jestch.2024.101879","DOIUrl":"10.1016/j.jestch.2024.101879","url":null,"abstract":"<div><div>The single-machine grid-connected grid-forming virtual synchronous generator (GFVSG) small signal mathematical model is divided into full-order and second-order small signal mathematical models according to whether power calculation, voltage plus current bottom double loop and AC filtering are considered in the modeling process. And the difference of mathematical models has an important impact on the accurate analysis of GFVSG grid-connected active power dynamic response characteristics (GCAP-DRCs). For this reason, the full-order and second-order small signal mathematical models of GFVSG grid-connected system are established, then their GCAP-DRCs are compared and analyzed. The results show that the second-order model and the full-order model of GFVSG grid-connected system have similar GCAP-DRCs, thus the second-order model can be directly used to replace the full-order model to study the GCAP-DRCs of GFVSG grid-connected system in engineering applications, so as to simplify the theoretical analysis process. Finally, the correctness of the mathematical model and theoretical analysis is verified by using MATLAB/Simulink software simulation and experiment.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"59 ","pages":"Article 101879"},"PeriodicalIF":5.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-01DOI: 10.1016/j.jestch.2024.101856
J.M. Lozano Domínguez, T.J. Mateo Sanguino, M.J. Redondo González, J.M. Davila Martin
{"title":"Corrigendum to “Improving road safety through a novel crosswalk: Comprehensive material study with photoluminescent resin” [Eng. Sci. Technol. Int. J. 57 (2024) 101793]","authors":"J.M. Lozano Domínguez, T.J. Mateo Sanguino, M.J. Redondo González, J.M. Davila Martin","doi":"10.1016/j.jestch.2024.101856","DOIUrl":"10.1016/j.jestch.2024.101856","url":null,"abstract":"","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"59 ","pages":"Article 101856"},"PeriodicalIF":5.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142650855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-01DOI: 10.1016/j.jestch.2024.101880
Ashwin Narendra Raut , Musa Adamu , Ranjit J. Singh , Yasser E. Ibrahim , Anant Lal Murmu , Omar Shabbir Ahmed , Supriya Janga
Thermal performance of building materials is often improved by introducing air voids through foaming. However, this typically results in a reduction in compressive strength. To address this issue, an experimental study was conducted to develop thermally efficient geopolymer blocks using three grades of crumb rubber (CR), without compromising compressive strength. Tests such as compressive strength, tensile strength, thermal conductivity, water absorption, and porosity were carried out to assess the performance of these blocks in comparison to conventional geopolymer blocks. The CR-incorporated geopolymer blocks demonstrated low thermal conductivity, ranging from 0.63 to 0.43 W/mK, along with a reduced environmental impact and carbon footprint. Importantly, they exhibited high compressive strength, ranging from 25 to 52 MPa, which exceeds the required strength for first-class bricks (12 MPa). A computational conjugate heat transfer analysis was also carried out to evaluate the strength of heat transferred through the solid media to the internal fluid media. It contributes to the advancement of environmentally conscious building materials, emphasizing the potential benefits of crumb rubber-incorporated geopolymer composites as a novel material for building construction purpose.
{"title":"Investigating crumb rubber-modified geopolymer composites derived from steel slag for enhanced thermal performance","authors":"Ashwin Narendra Raut , Musa Adamu , Ranjit J. Singh , Yasser E. Ibrahim , Anant Lal Murmu , Omar Shabbir Ahmed , Supriya Janga","doi":"10.1016/j.jestch.2024.101880","DOIUrl":"10.1016/j.jestch.2024.101880","url":null,"abstract":"<div><div>Thermal performance of building materials is often improved by introducing air voids through foaming. However, this typically results in a reduction in compressive strength. To address this issue, an experimental study was conducted to develop thermally efficient geopolymer blocks using three grades of crumb rubber (CR), without compromising compressive strength. Tests such as compressive strength, tensile strength, thermal conductivity, water absorption, and porosity were carried out to assess the performance of these blocks in comparison to conventional geopolymer blocks. The CR-incorporated geopolymer blocks demonstrated low thermal conductivity, ranging from 0.63 to 0.43 W/mK, along with a reduced environmental impact and carbon footprint. Importantly, they exhibited high compressive strength, ranging from 25 to 52 MPa, which exceeds the required strength for first-class bricks (12 MPa). A computational conjugate heat transfer analysis was also carried out to evaluate the strength of heat transferred through the solid media to the internal fluid media. It contributes to the advancement of environmentally conscious building materials, emphasizing the potential benefits of crumb rubber-incorporated geopolymer composites as a novel material for building construction purpose.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"59 ","pages":"Article 101880"},"PeriodicalIF":5.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-01DOI: 10.1016/j.jestch.2024.101887
R. Kousalya, G.A. Sathish Kumar
With the advancement of cutting-edge technologies, the Internet of Medical Things (IoMT) has assisted the healthcare sector by facilitating interaction between healthcare service providers and patients in remote areas. In IoMT, wearable or implantable sensors collect the patient’s record and share the information through a public network. Health-related information about the patient must be protected from a variety of attacks by the adversary since it is sensitive and extremely vulnerable to attacks. The sensor equipment that is implanted in the patient is also resource-constrained and has a low power capacity. The entities involved in the communication must be authenticated with one another in order to protect patients’ health information, anonymity, and reliability. While several authenticated key agreement protocols have been proposed, many suffer from high computational costs and storage cost, making them unsuitable for lightweight applications. This paper proposes a secure three-factor robust Elliptic Curve Cryptography (ECC) based mutually authenticated and key agreement protocol known as RELAKA for the IoMT environment, utilizing the benefits of one-way hash function. In proposed scheme, all entities, including the healthcare service providers and wearable sensors, are authenticated by the medical server. Subsequently, a secret key is established for each communication session and shared between all the entities. Additionally, mechanism for appropriate user revocation and re-registration is integrated to provide additional security in cases where a user’s QR code is tampered with by the attacker. The privacy of the proposed protocol is investigated by the potential use of zero knowledge proof. Furthermore, the efficacy of the authentication is examined by challenge and response mechanism. The informal security analysis demonstrates its resistance to threats such as DoS, impersonation, message modification, password guessing, and so on. The performance evaluation of RELAKA protocol indicates that the execution, communication, and storage costs is reduced by 87.59%, 43% and 60.71% respectively. Moreover, the outcomes of the AVISPA simulation illustrate that the RELAKA successfully evades both active and passive attacks. In addition, real-world testbed environment is developed with Raspberry pi 4 model B and the experimental results verifies the robustness of the proposed protocol. According to theoretical analysis and experimental evaluation, the RELAKA scheme is more secure and efficient than the existing protocols.
随着尖端技术的发展，医疗物联网（IoMT）通过促进医疗服务提供商与偏远地区患者之间的互动，为医疗保健行业提供了帮助。在 IoMT 中，可穿戴或植入式传感器收集病人的记录，并通过公共网络共享信息。由于病人的健康相关信息十分敏感，极易受到攻击，因此必须保护这些信息免受对手的各种攻击。植入患者体内的传感器设备也受到资源限制，功率较低。为了保护患者的健康信息、匿名性和可靠性，参与通信的实体之间必须相互验证。虽然已经提出了几种验证密钥协议，但许多协议都存在计算成本和存储成本高的问题，因此不适合轻量级应用。本文利用单向散列函数的优势，为 IoMT 环境提出了一种基于椭圆曲线加密法（ECC）的安全三因素稳健相互验证和密钥协议协议，即 RELAKA。在提议的方案中，包括医疗服务提供商和可穿戴传感器在内的所有实体都要经过医疗服务器的验证。随后，为每个通信会话建立密钥，并在所有实体之间共享。此外，还集成了适当的用户撤销和重新注册机制，以便在用户的二维码被攻击者篡改时提供额外的安全性。通过可能使用的零知识证明，对所提议协议的隐私性进行了研究。此外，还通过挑战和响应机制检验了身份验证的有效性。非正式安全分析表明，该协议可抵御 DoS、冒名顶替、信息修改、密码猜测等威胁。RELAKA 协议的性能评估表明，其执行成本、通信成本和存储成本分别降低了 87.59%、43% 和 60.71%。此外，AVISPA 仿真结果表明，RELAKA 成功地躲避了主动和被动攻击。此外，还利用 Raspberry pi 4 B 型开发了实际测试平台环境，实验结果验证了所提协议的鲁棒性。根据理论分析和实验评估，RELAKA 方案比现有协议更安全、更高效。
{"title":"RELAKA: Robust ECC based Privacy Preserving Lightweight Authenticated Key Agreement protocol for healthcare applications","authors":"R. Kousalya, G.A. Sathish Kumar","doi":"10.1016/j.jestch.2024.101887","DOIUrl":"10.1016/j.jestch.2024.101887","url":null,"abstract":"<div><div>With the advancement of cutting-edge technologies, the Internet of Medical Things (IoMT) has assisted the healthcare sector by facilitating interaction between healthcare service providers and patients in remote areas. In IoMT, wearable or implantable sensors collect the patient’s record and share the information through a public network. Health-related information about the patient must be protected from a variety of attacks by the adversary since it is sensitive and extremely vulnerable to attacks. The sensor equipment that is implanted in the patient is also resource-constrained and has a low power capacity. The entities involved in the communication must be authenticated with one another in order to protect patients’ health information, anonymity, and reliability. While several authenticated key agreement protocols have been proposed, many suffer from high computational costs and storage cost, making them unsuitable for lightweight applications. This paper proposes a secure three-factor robust Elliptic Curve Cryptography (ECC) based mutually authenticated and key agreement protocol known as RELAKA for the IoMT environment, utilizing the benefits of one-way hash function. In proposed scheme, all entities, including the healthcare service providers and wearable sensors, are authenticated by the medical server. Subsequently, a secret key is established for each communication session and shared between all the entities. Additionally, mechanism for appropriate user revocation and re-registration is integrated to provide additional security in cases where a user’s QR code is tampered with by the attacker. The privacy of the proposed protocol is investigated by the potential use of zero knowledge proof. Furthermore, the efficacy of the authentication is examined by challenge and response mechanism. The informal security analysis demonstrates its resistance to threats such as DoS, impersonation, message modification, password guessing, and so on. The performance evaluation of RELAKA protocol indicates that the execution, communication, and storage costs is reduced by 87.59%, 43% and 60.71% respectively. Moreover, the outcomes of the AVISPA simulation illustrate that the RELAKA successfully evades both active and passive attacks. In addition, real-world testbed environment is developed with Raspberry pi 4 model B and the experimental results verifies the robustness of the proposed protocol. According to theoretical analysis and experimental evaluation, the RELAKA scheme is more secure and efficient than the existing protocols.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"59 ","pages":"Article 101887"},"PeriodicalIF":5.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142650857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号