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A computational simulation study for techno-economic comparison of conventional and stripping gas methods for natural gas dehydration

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Chinese Journal of Chemical Engineering 2020年第9期28卷 2285-2293页

作者： muhammad salman Liangliang Zhang Jianfeng Chen Research Centerof the Ministry of Education for High Gravity Engineering and Technology Beijing University of Chemical TechnologyBeijing 100029China StateKey Laboratory of Organic-Inorganic Composites Beijing University of Chemical TechnologyBeijing 100029China

In the present work,the conventional natural gas dehydration method(CDM)and stripping gas method(SGM)are technically and economically analyzed,utilizing Aspen HYSYS and Aspen Process Economic Analyzer(APEA),*** optimize the CDM and SGM,the sensitivities of the water content of dry gas,reboiler duty and raw material loss are analyzed against solvent rate and stripping gas *** optimized processes are set to achieve a targeted value of water content in dry gas and analyzed at optimized *** analysis shows that SGM gives 46%lower TEG feed rate,42%lower reboiler duty and 99.97%pure regenerated ***,economic analysis reveals that SGM has 38%lower annual operating cost compared to *** to results,from both technical and economic point of view,SGM is more feasible for natural gas dehydration compared to CDM.

关键词： Natural gas dehydration Technical analysis Parametric optimization Economic study Aspen HYSYS

Resolvability in Circulant Graphs

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Acta Mathematica Sinica,English Series 2012年第9期28卷 1851-1864页

作者： muhammad salman Imran JAVAID muhammad Anwar CHAUDHRY Center for Advanced Studies in Pure and Applied Mathematics Bahauddin Zakariya University

A set W of the vertices of a connected graph G is called a resolving set for G if for every two distinct vertices u, v E V（G） there is a vertex w E W such that d（u, w） ≠ d（v, w）. A resolving set of minimum cardinality is called a metric basis for G and the number of vertices in a metric basis is called the metric dimension of G, denoted by dim（G）. For a vertex u of G and a subset S of V（G）, the distance between u and S is the number minses d（u,s）. A k-partition II = {$1,$2,..., Sk} of V（G） is called a resolving partition if for every two distinct vertices u, v E V（G） there is a set Si in H such that d（u, Si） ≠ d（v, Si）. The minimum k for which there is a resolving k-partition of V（G） is called the partition dimension of G, denoted by pd（G）. The circulant graph is a graph with vertex set Zn, an additive group of integers modulo n, and two vertices labeled i and j adjacent if and only if i - j （rood n） E C, where C C Zn has the property that C = -C and 0 ￠ C. The circulant graph is denoted by Xn,△ where A = ｜C｜. In this paper, we study the metric dimension of a family of circulant graphs Xn,3 with connection set C = {1, 3, n - 1} and prove that dim（Xn,3） is independent of choice of n by showing that dim（Xn,a） = {3 for all n ≡0 （mod 4）,4 for all n≡2 （mod4）.We also study the partition dimension of a family of circulant graphs Xm,4 with connection set C = {±1, ±2} and prove that pd（Xn,4） is independent of choice of n and show that pd（X5,4） = 5 and pd（Xn,a） ={ 3 for all odd n≥9,4 for all even n≥6 and n=7.

关键词： Circulant graphs metric dimension partition dimension

A Novel Approach to Energy Optimization:Efficient Path Selection in Wireless Sensor Networks with Hybrid ANN

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Computers, Materials & Continua 2024年第5期79卷 2945-2970页

作者： muhammad salman Qamar Ihsan ulHaq Amil Daraz Atif MAlamri salman A.AlQahtani muhammad Fahad Munir Department of Electrical and Computer Engineering International Islamic UniversityIslamabad44000Pakistan School of Information Science and Engineering NingboTech UniversityNingbo315100China Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh11495Saudi Arabia Computer Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh11495Saudi Arabia

In pursuit of enhancing the Wireless Sensor Networks(WSNs)energy efficiency and operational lifespan,this paper delves into the domain of energy-efficient routing ***,the limited energy resources of Sensor Nodes(SNs)are a big challenge for ensuring their efficient and reliable *** data gathering involves the utilization of a mobile sink(MS)to mitigate the energy consumption problem through periodic network *** mobile sink(MS)strategy minimizes energy consumption and latency by visiting the fewest nodes or predetermined locations called rendezvous points(RPs)instead of all cluster heads(CHs).CHs subsequently transmit packets to neighboring *** unique determination of this study is the shortest path to reach *** the mobile sink(MS)concept has emerged as a promising solution to the energy consumption problem in WSNs,caused by multi-hop data collection with static *** this study,we proposed two novel hybrid algorithms,namely“ Reduced k-means based on Artificial Neural Network”(RkM-ANN)and“Delay Bound Reduced kmeans with ANN”(DBRkM-ANN)for designing a fast,efficient,and most proficient MS path depending upon rendezvous points(RPs).The first algorithm optimizes the MS’s latency,while the second considers the designing of delay-bound paths,also defined as the number of paths with delay over bound for the *** methods use a weight function and k-means clustering to choose RPs in a way that maximizes efficiency and guarantees network-wide *** addition,a method of using MS scheduling for efficient data collection is *** simulations and comparisons to several existing algorithms have shown the effectiveness of the suggested methodologies over a wide range of performance indicators.

关键词： Wireless Sensor Networks(WSNs) mobile sink(MS) rendezvous point(RP) machine learning Artificial Neural Networks(ANNs)

Economically attractive production of commercial-grade gasoline from waste plastics

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Frontiers in Energy 2024年第5期18卷 712-715页

作者： muhammad salman Nasir Hu Pan Baowen Zhou Key Laboratory for Power Machinery and Engineering(Ministry of Education) Research Center for Renewable Synthetic FuelSchool of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China College of Biological Chemical Science and EngineeringJiaxing UniversityJiaxing 314001China

Plastics are ubiquitous in people's daily lives,providing a multitude of advantages to the *** play a vital role in raising living standards and promoting economic growth,from boosting food safety and medical care to ... 详细信息

关键词： attractive plastics boosting

A looming twindemic of COVID-19 and dengue on post-flood scenario in the developing countries

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Asian Pacific Journal of Tropical Medicine 2022年第9期15卷 383-384页

作者： Abdullah Sher Ali muhammad salman Muddasir Khan Department of Health and Biological Sciences Abasyn University Peshawar Khyber Pakhtunkhwa(KPK)Pakistan Department of Food Engineering School of Animal Science and Food EngineeringUniversity of Sao PauloCEP13635-900PirassunungaSPBrazil Department of Veterinary Microbiology Faculty of Veterinary SciencesChulalongkorn UniversityBangkokThailand Centre of Biotechnology and Microbiology University of PeshawarKPKPakistan

Pakistan has recently faced a disastrous and lethal flooding across the country,affecting 33 million people and 1400 healthcare facilities,putting further strain on the nation's fragile healthcare *** country faces widespread infectious diseases including dengue and COVID-19[1].To date,SARS-CoV-2 has caused about 6.53 million deaths and spread globally,infecting about 612 million *** the developing world,infection rate is particularly high in Pakistan,causing 30606 deaths so far[2].As of September 2022,healthcare authorities claimed a continued rise in dengue cases due to heavy flood in the *** date,a total of 14173 dengue cases have been reported,and the highest number of cases was documented in Sindh province(5203),followed by Khyber Pakhtunkhwa(4538),Punjab(3101),and Islamabad with 1331[3].

关键词： flood continued globally

Vehicle License Plate Detection and Characters Recognition

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Vehicle License Plate Detection and Characters Recognition

作者： muhammad salman 华南理工大学

学位级别：硕士

Automatic license plate recognition（ALPR）is image processing technology and hot research area in intelligent transportation system and it shows a significant role in many *** ALPR system license plate detection from the original image is the most important *** is very challenging because of the variety of plate layouts and the nonuniform outside lighting conditions during image *** processing technique is widely used for license plate detection.A verity of techniques is proposed in the literature but they are having accuracy *** this work,we develop a license plate detection method using a KNN（K-nearest neighbor）classifier with *** system finds all possible contour in the image and performs rough character searching at different scales and analyses the contour width,height,and area to take a rough idea whether the contour can be a character or *** results of our approach show that this method is comparatively impervious to: 1)variations in lighting,2)license plate shapes,3)camera perspective,4)shadow images and 5)background *** system is tested with on 150 real time images,captured in campus premises and images downloaded from internet under different illumination conditions and we got 96% *** the localization of license plates,the alignment of plates is carried ***,this alignment technique finds the neighbor of the bounding box of the detected area and find out the ideal edge site where the outer region is quite different from the inner region of the license plate,from color’s perspective in RGB *** approach aligns accurately the bounding box to edges of the license plate so that the resultant plate segmentation and recognition could be done *** system performs license plate segmentation based on Thresholding and Connected Component Analysis（CCA）.In processing of binary image CCA is useful approach that mark each pixel of binarized image into component on the basis of

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PoIR: A Node Selection Mechanism in Reputation-Based Blockchain Consensus Using Bidirectional LSTM Regression Model

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Computers, Materials & Continua 2023年第11期77卷 2309-2339页

作者： Jauzak Hussaini Windiatmaja Delphi Hanggoro muhammad salman Riri Fitri Sari Department of Electrical Engineering Faculty of EngineeringUniversitas IndonesiaDepok16424Indonesia

This research presents a reputation-based blockchain consensus mechanism called Proof of Intelligent Reputation(PoIR)as an alternative to traditional Proof of Work(PoW).PoIR addresses the limitations of existing reputationbased consensus mechanisms by proposing a more decentralized and fair node selection *** proposed PoIR consensus combines Bidirectional Long Short-Term Memory(BiLSTM)with the Network Entity Reputation Database(NERD)to generate reputation scores for network entities and select authoritative *** records network entity profiles based on various sources,i.e.,Warden,Blacklists,DShield,AlienVault Open Threat Exchange(OTX),and MISP(Malware Information Sharing Platform).It summarizes these profile records into a reputation score *** PoIR consensus mechanism utilizes these reputation scores to select authoritative *** evaluation demonstrates that PoIR exhibits higher centralization resistance than PoS and *** nodes were selected fairly during the 1000-block proposal round,ensuring a more decentralized blockchain *** contrast,malicious nodes successfully monopolized 58%and 32%of transaction processes in PoS and PoW,respectively,but failed to do so in *** findings also indicate that PoIR offers efficient transaction times of 12 s,outperforms reputation-based consensus such as PoW,and is comparable to reputation-based consensus such as ***,the model evaluation shows that BiLSTM outperforms other Recurrent Neural Network models,i.e.,BiGRU(Bidirectional Gated Recurrent Unit),UniLSTM(Unidirectional Long Short-Term Memory),and UniGRU(Unidirectional Gated Recurrent Unit)with 0.022 Root Mean Squared Error(RMSE).This study concludes that the PoIR consensus mechanism is more resistant to centralization than PoS and *** BiLSTM and NERD enhances the fairness and efficiency of blockchain applications.

关键词： Blockchain blockchain consensus node selection BiLSTM RNN regression

A Computational Simulation Study for Techno-Economic Analysis of Different Techniques for Natural Gas Dehydration

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A Computational Simulation Study for Techno-Economic Analysi...

作者： muhammad salman 北京化工大学

学位级别：硕士

Natural gas（NG）is among the most used fossil fuels in industrial and domestic *** extracted,it often contains water vapors,which result in the formation of hydrates,causing clogging of the pipes and ***,water vapors in NG can also lead to corrosion of pipelines when there is acid gas,such as H2S and CO2,existing in the ***,NG must be dehydrated before its supply to transmission *** methods are available in the literature for dehydration of *** them,the solvent absorption method is the most mature ***,the conventional triethylene glycol（TEG）solvent absorption method is quite expensive and involves extensive energy consumptions and TEG ***,the improvement of this method is the need of *** this work,improvements of the solvent absorption method are made by introducing stripping gas process modification and ionic liquids（IL）as a new alternative ***-economic analysis of the process has been done with the aid of Aspen HYSYS process simulation software and Aspen Process Economic Analyzer（APEA）*** work is divided into two *** the first part,a techno-economic comparison of conventional NG dehydration method（CDM）has been made with a new stripping gas method（SGM）.Process simulation models of both methods are developed on Aspen *** technical and economic evaluation,SGM is proved to more feasible for NG dehydration compared to *** the fixed output of dry gas,SGM can achieve 46%lower solvent rate and 42%lower reboiler duty,hence decreasing the energy consumptions involved in the ***,economic evaluation of CDM and SGM revealed that with SGM,10%reduction in total annual operating cost and 9%reduction in total annual cost can be *** results prove SGM to be technically and economically more suitable for NG *** the second part,instead of applying different process modifications,new alternative solvent,i.e.,IL EMIMNTf2,has been introduced for

关键词： Natural gas dehydration Techno-economicanalysis process simulation Aspen HYSYS Ionic liquids

Urdu Natural Scene Text Recognition and Detection

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Urdu Natural Scene Text Recognition and Detection

作者： muhammad salman 山东财经大学

学位级别：硕士

在自然场景下的文本检测识别受到复杂的背景、不同的写作风格、文本大小、方向、图像低分辨率和多语言文本的影响,该问题极其复杂且具有挑战性。乌尔都语文字作为一种草书文字,与其他非拉丁草书文字(如阿拉伯语和印地语)相似。机器学习... 详细信息

在自然场景下的文本检测识别受到复杂的背景、不同的写作风格、文本大小、方向、图像低分辨率和多语言文本的影响,该问题极其复杂且具有挑战性。乌尔都语文字作为一种草书文字,与其他非拉丁草书文字(如阿拉伯语和印地语)相似。机器学习和深度学习算法已经在文本识别实际应用中取得优秀成果,而自然图像应用场景中对于非拉丁草书文字和乌尔都语脚本等草书文本的字符识别仍然作为一个较为开放的研究问题。与非草书文本的识别任务相比,草书文字的字符自身错综复杂,尤其是乌尔都语字符在单词中的不同位置会有更多的变化,这也导致用于自然场景图像中阿拉伯语和乌尔都语的光学字符识别(OCR)技术受到极大限制。目前自然场景下的乌尔都语数据集仍处在发展阶段,训练资源获取有限。为了充分发挥模型的性能,本文提出一个更加全面的乌尔都语文本识别数据集,为神经网络模型提供更好的训练,使其充分学习乌尔都语图像特征。实机拍摄了多达2500幅的自然场景图像,从字词句三种水平创建了分别为乌尔都字符图像,乌尔都语单词图像和端到端文本识别图像数据集。该数据集中的场景图像包含的文本样式不同、大小不一、颜色和背景都有所区别,以及包含的不均匀的光照和任意方向的文本。从比较来看,该数据集包含的样本数量比现有的阿拉伯自然场景文本数据集更加丰富。自然场景下的乌尔都语因光照条件,方向随意以及自身文本样式的多变,使得检测任务更加复杂而困难。针对自然场景中文本检测效果不佳、文本区域边界检测不准确等问题,本文提出了一种基于MLF的任意方向文本识别检测算法。首先利用深度卷积神经网络提取不同尺度的特征,通过上采样将高层特征和底层特征进行融合产生包含丰富语义信息的特征图;然后,通过语义分割的方法得到文本的头尾区域,利用头尾区域的像素预测文本头尾区域的边界顶点,克服网络因边界模糊难以有效检测长文本的困难。最后,引入OHEM(online hard example mining)解决训练过程中正负样本类别不平衡的问题,达到准确的识别的目的。乌尔都语字符会随着前后的毗邻的字符不同,而造成字符相邻连接处的变化。这使得检测得到的字符特征形式多变而又复杂。针对乌尔都语连接特征和形式特征多样而导致网络模型性能受限的问题,本文提出了一种多尺度特征聚合和多层次融合网络架构(MSA-MLF)来识别自然图像中的乌尔都语字符。网络首先在各种卷积滤波器作用下提取不同尺度特征,然后多尺度特征由上采样等操作聚合,最后在MLF网络中MFA聚合的低层级特征和输出的高层级特征结合,产生的特征包含更多空间结构信息。本文所做出的贡献分为以下三点:首先,本文提出并分析了一个更加丰富的自然场景图像中乌尔都语文本分类的数据集。其中字符数据集包含不同形式与风格的字符图像,有利于模型学习更丰富的细节特征。乌尔都语词数据集较已有的阿拉伯词数据集图像数量更多,可作为基准数据集来验证单词识别任务。乌尔都语文本识别数据集可应用于多语言文本检测与识别问题。其次,本文提出一种基于多尺度特征融合的任意方向文本检测算法,用于解决自然场景应用下的乌尔都语文本方向多变随意、文本区域边界不清晰而导致检测效果不佳的问题。网络中不同尺度特征提取并融合以增强语义和上下文信息的提取;利用文本头尾区域的像素预测文本边界顶点以增强边界特征的显现,提高边界分割的准确性。最后,针对乌尔都语自身字符的多变性和相邻字符的连接处的复杂性,文章提出了一种多尺度特征聚合与多层次融合的模型网络架构用于乌尔都语字符检测。该结构在不同尺度上捕捉特征信息并在多个层次的融合提取的字符特征。融合深浅层后的特征语义信息特征和空间信息特征得到有效地增强,使模型充分捕捉字符自身以及连接处特征的多样而变化的细节。

关键词：乌尔都语文本分割与识别卷积神经网络深度学习网络