Proceedings of the National Academy of Sciences, India Section A: Physical Sciences最新文献_第2页

Using Wind Resource Assessment to Optimize Plant Factory Locations 利用风力资源评估优化工厂选址

IF 1.2 4区综合性期刊

Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Pub Date : 2025-03-19 DOI: 10.1007/s40010-025-00920-3

George Xydis

{"title":"Using Wind Resource Assessment to Optimize Plant Factory Locations","authors":"George Xydis","doi":"10.1007/s40010-025-00920-3","DOIUrl":"10.1007/s40010-025-00920-3","url":null,"abstract":"<div><p>Within this field of research, a wind resource evaluation can identify the locations where wind-induced heat losses can have a greater impact on the overall losses of plant factories, as well as those locations where it may not be as significant. This study focuses on choosing the optimal locations for plant factories based on wind resource assessment in Davleia, Central Greece. Based on the results, suitable regions for plant factory/vertical farms locations were suggested. The study analyses the heat losses due to wind in two scenarios with various wall surfaces based on annual wind speed, direction, and temperature experimental data from a mast. The heat transfer in a wall surface with 10 m<sup>2</sup> and an annual average wind speed of 4.6 m/s, can be more than 18 MWh/yr. The investigation showed that while places outside the built-up agglomerations can face noticeably larger heat losses, there are sites within Davleia with low wind speeds that can limit heat loss. The study offers useful information for choosing suitable locations based on an analysis of the wind resource.</p></div>","PeriodicalId":744,"journal":{"name":"Proceedings of the National Academy of Sciences, India Section A: Physical Sciences","volume":"95 2","pages":"191 - 199"},"PeriodicalIF":1.2,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40010-025-00920-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145144496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fingerprint Recognition Using Artificial Neural Networks 基于人工神经网络的指纹识别

IF 1.2 4区综合性期刊

Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Pub Date : 2025-03-19 DOI: 10.1007/s40010-025-00917-y

Raghvendra Singh, Rajendra Singh, Rajendra Kumar Tripathi, Prateek Agarwal

{"title":"Fingerprint Recognition Using Artificial Neural Networks","authors":"Raghvendra Singh, Rajendra Singh, Rajendra Kumar Tripathi, Prateek Agarwal","doi":"10.1007/s40010-025-00917-y","DOIUrl":"10.1007/s40010-025-00917-y","url":null,"abstract":"<div><p>Fingerprint recognition has emerged as a crucial biometric authentication technology with diverse applications, such as access control, identity verification, and forensic investigations. This paper presents a comprehensive study on the application of Artificial Neural Networks (ANNs) in fingerprint recognition. ANNs, a subset of machine learning, have demonstrated remarkable potential in extracting distinctive features from fingerprint images and achieving high accuracy in fingerprint identification and verification tasks. In this paper, we delve into the theoretical foundations of ANNs, discuss their relevance in fingerprint recognition, and present an in-depth analysis of recent advancements, challenges, and prospects. Additionally, we provide insights into the key components of ANNs employed in fingerprint recognition, including data preprocessing, feature extraction, and classification, along with a review of prominent fingerprint datasets and evaluation metrics. This paper seeks to make a valuable addition to the existing knowledge in the field of fingerprint identification and stimulate additional research into improving the skills of artificial neural networks (ANNs) for biometric authentication.</p></div>","PeriodicalId":744,"journal":{"name":"Proceedings of the National Academy of Sciences, India Section A: Physical Sciences","volume":"95 2","pages":"127 - 135"},"PeriodicalIF":1.2,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145144497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Efficient Data-Driven Model for Millimeter-Wave 5G Channel Modeling Using Machine Learning and High-Performance Computing 基于机器学习和高性能计算的毫米波5G信道建模的高效数据驱动模型

IF 0.8 4区综合性期刊

Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Pub Date : 2025-03-06 DOI: 10.1007/s40010-025-00911-4

Animesh Tripathi, Shiv Prakash, Pradeep Kumar Tiwari, Narendra Kumar Shukla

{"title":"An Efficient Data-Driven Model for Millimeter-Wave 5G Channel Modeling Using Machine Learning and High-Performance Computing","authors":"Animesh Tripathi, Shiv Prakash, Pradeep Kumar Tiwari, Narendra Kumar Shukla","doi":"10.1007/s40010-025-00911-4","DOIUrl":"10.1007/s40010-025-00911-4","url":null,"abstract":"<div><p>The fifth generation (5G) technology is efficiently designed to perform many things for the betterment of lives, such as Artificial Intelligence, Cyber-Physical Systems, the Internet of Things, etc. To facilitate this huge amount of data very high bandwidth is needed, hence 5G extensively uses the millimeter wave (mm-Wave) to enhance bandwidth. The technology of mm-Wave communication operates at very high frequencies, typically between 30 and 300 GHz. Some of the challenges will be key to realizing the full potential of mm-Wave communication technology for high-speed wireless communication in the future. The difficulties caused by mm-Wave are directivity, propagation loss, and sensitivity to blockage. To overcome these difficulties, we surveyed existing solutions and standards and identified research gaps. As a high data rate, mm-Wave may be considered in future generation communication and propagation channel requirements for mm-Wave investigated precisely for the prior knowledge of the quality of service (QoS) parameters. Therefore, channel modeling is the key need for the estimation of QoS parameters namely delay, angle of arrival, path loss, angle of departure, etc. In this paper, an efficient data-driven model for mm-Wave 5G Channel modeling using machine learning and high-performance computing is proposed which outperformed the other state-of-the-art in terms of various performance matrices.</p></div>","PeriodicalId":744,"journal":{"name":"Proceedings of the National Academy of Sciences, India Section A: Physical Sciences","volume":"95 1","pages":"41 - 54"},"PeriodicalIF":0.8,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computation of Beyer’s Nonlinearity Acoustic Parameter of Binary Ionic Liquids (RTIL’s) Mixtures 二元离子液体混合物Beyer非线性声学参数的计算

IF 0.8 4区综合性期刊

Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Pub Date : 2025-02-26 DOI: 10.1007/s40010-025-00913-2

Ramakant, Brijlesh Kumar Tiwari, Arvind Kumar Pandey, Subhash Chandra Shrivastava, J. D. Pandey

引用次数: 0

Group Invariance Method for Spherical Shock Wave in a Non-Ideal Gas under the Influence of Gravitational and Azimuthal Magnetic Fields 重力和方位磁场影响下非理想气体中球形激波的群不变性方法

IF 0.8 4区综合性期刊

Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Pub Date : 2025-02-24 DOI: 10.1007/s40010-025-00908-z

G. Nath, Abhay Maurya

引用次数: 0

Influence of Hardener Type on the Particleboard Properties at Industrial Scale 工业规模下硬化剂类型对刨花板性能的影响

IF 0.8 4区综合性期刊

Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Pub Date : 2025-02-18 DOI: 10.1007/s40010-025-00910-5

O. Çamlıbel, M. Aydın, E. Koç

{"title":"Influence of Hardener Type on the Particleboard Properties at Industrial Scale","authors":"O. Çamlıbel, M. Aydın, E. Koç","doi":"10.1007/s40010-025-00910-5","DOIUrl":"10.1007/s40010-025-00910-5","url":null,"abstract":"<div><p>Influence of the two different hardeners (ammonium chloride NH<sub>4</sub>Cl and ammonium sulphate (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>) on the physical (density, thickness, moisture content, thickness swelling and water absorption) and mechanical (modulus of rupture, modulus of elasticity, surface soundness and internal bonding strength) properties and formaldehyde emission of the particleboard was figured out. Boards were industrially produced (at continuous press line) using urea formaldehyde resin, liquid paraffin, and a 50:40:10 mixture of Scots pine, oak and poplar chips, respectively. Except for elasticity, boards produced using ammonium chloride had better mechanical properties, but their thickness swelling and water absorption capabilities were lower (approx. 55.5% and 45.9%, respectively) than those produced with ammonium sulphate. Utilization of ammonium chloride provided 30.3% higher surface soundness. There were less than 1% differences in the thickness and density. Around 36.4% less formaldehyde emission was determined for ammonium chloride-modified boards. According to the results, only means of IB did not present statistically significant differences.</p></div>","PeriodicalId":744,"journal":{"name":"Proceedings of the National Academy of Sciences, India Section A: Physical Sciences","volume":"95 1","pages":"33 - 40"},"PeriodicalIF":0.8,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On the Convergence of Strong Cylindrical and Spherical Shock Waves in Solid Materials 固体材料中强圆柱和强球形激波的收敛性

IF 0.8 4区综合性期刊

Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Pub Date : 2025-02-01 DOI: 10.1007/s40010-025-00909-y

R. K. Anand

{"title":"On the Convergence of Strong Cylindrical and Spherical Shock Waves in Solid Materials","authors":"R. K. Anand","doi":"10.1007/s40010-025-00909-y","DOIUrl":"10.1007/s40010-025-00909-y","url":null,"abstract":"<div><p>In this article, we present a description of the behaviour of shock-compressed solid materials following Geometrical Shock Dynamics (GSD) theory. GSD has been successfully applied to various gas dynamics problems, and here we have employed it to investigate the propagation of cylindrically and spherically symmetric converging shock waves in solid materials. The analytical solution of shock dynamics equations has been obtained in the strong-shock limit, assuming the solid materials to be homogeneous and isotropic and obeying the Mie-Grüneisen equation of state. The non-dimensional expressions are obtained for the velocity of shock, the pressure, the mass density, the particle velocity, the temperature, the speed of sound, the adiabatic bulk modulus, and the change-in-entropy behind the strong converging shock front. The influences as a result of changes in (i) the propagation distance <i>r</i> from the axis or centre <span>((r=0))</span> of convergence, (ii) the Grüneisen parameter, and (iii) the material parameter are explored on the shock velocity and the domain behind the converging shock-front. The results show that as the shock focuses at the axis or origin, the shock velocity, the pressure, the temperature, and the change-in-entropy increase in the shock-compressed titanium Ti6Al4V, stainless steel 304, aluminum 6061-T6, etc.</p></div>","PeriodicalId":744,"journal":{"name":"Proceedings of the National Academy of Sciences, India Section A: Physical Sciences","volume":"95 1","pages":"103 - 112"},"PeriodicalIF":0.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ranking of Generalized Trapezoidal Fuzzy Numbers by Point of Intersection and its Application in Multi Criteria Decision Making Problems 按交点排列广义梯形模糊数及其在多标准决策问题中的应用

IF 0.8 4区综合性期刊

Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Pub Date : 2025-01-30 DOI: 10.1007/s40010-025-00907-0

P. G. Patil, S. Shivashankar, Vyshakha Elluru

引用次数: 0

Multi-Zone Fence Perimeter Surveillance: A New Edge-FOG Architecture for Efficient Detection and Classification of Intrusion 多区域围栏周界监控：一种新的边缘雾结构，用于有效检测和分类入侵

IF 0.8 4区综合性期刊

Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Pub Date : 2024-12-29 DOI: 10.1007/s40010-024-00904-9

Srinivasan Aruchamy, Anisom Chakraborty, Siva Ram Krishna Vadali, Manisha Das

{"title":"Multi-Zone Fence Perimeter Surveillance: A New Edge-FOG Architecture for Efficient Detection and Classification of Intrusion","authors":"Srinivasan Aruchamy, Anisom Chakraborty, Siva Ram Krishna Vadali, Manisha Das","doi":"10.1007/s40010-024-00904-9","DOIUrl":"10.1007/s40010-024-00904-9","url":null,"abstract":"<div><p>In this paper, we propose a geophone based fence surveillance system with a FOG architecture for detection of intrusion and classification in spatially separated zones. In the proposed decentralized architecture − for edge layer we propose an efficient spectral-energy-comparison detector; and at FOG layer, we propose a highly accurate supervised machine learning algorithm in the form of linear support vector machine for classification of mode of intrusion; lastly, the FOG layer updates the intrusion status of respective zones to the cloud layer. Extensive analysis of field experimental data acquired with an ad hoc geographically distributed fence setup indicates that the proposed detector renders <span>(99%)</span> accuracy with very low false alarm rate and also outperforms known detectors. We perform feature engineering and demonstrate that the proposed classifier achieves <span>(97.9%)</span> accuracy for both man-made intrusions and natural events even with reduced feature set. We also show that the proposed classifier outperforms known fence perimeter surveillance schemes. Lastly, we validate the performance of proposed system through real life experiments and analysis therein.</p></div>","PeriodicalId":744,"journal":{"name":"Proceedings of the National Academy of Sciences, India Section A: Physical Sciences","volume":"95 1","pages":"17 - 32"},"PeriodicalIF":0.8,"publicationDate":"2024-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction: Bias Correction and Trend Analysis of Temperature and Rainfall in Eastern India 更正：印度东部气温和降雨量的偏差修正与趋势分析

IF 0.8 4区综合性期刊

Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Pub Date : 2024-12-13 DOI: 10.1007/s40010-024-00906-7

Rajiv Kumar Srivastava, Biplab Sadhukhan, Arun Chakraborty, Rabindra Kumar Panda

引用次数: 0