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Evolutional AtHtude Based on Option Prioritization for Conflict Analysis of Urban Transport Planning in Pakistan

Journal of Systems Science and Systems Engineering 2019年第3期28卷 356-381页

作者： Sharafat Ali Haiyan Xu Peng Xu waqas ahmed College of Economics and Management Nanjing University of Aeronautics and AstronauticsNanjing 211106PR China

This paper constructs a dynamic conflict model that considers Decision Makers'(DMs)evolutional attitude using the option *** proposed evolutional attitude approach is based on the framework of the Graph Model for Conflict Resolution(GMCR).Compared with the existing state-based preference,the option prioritization is a more convenient and efficient approach to analyze larger models with consideration of the evolutional attitude,which exists broadly in the evolutional conflicts in *** study reveals how the evolutional attitude of a DM succeeds in the overall evolution of *** analysis unfolds that DMs change their attitude(s)consequent upon the changes in DMs and options available to them as conflict evolves from one level to the *** changes in attitude of DMs during dynamic conflict situation have substantial effects on the equilibrium outcomes of a *** proposed evaluation attitude-based approach is employed to analyze the conflict between the Punjab Government(G)and Heritage Campaigner and the Public(P)in Pakistan that appeared due to the inappropriate design,planning,and construction of an urban transport system project in Lahore,*** present study demonstrates the modeling procedure of a two-level evolutional attitude-based conflict *** results of the stability analysis reveal that improper(negative)attitude may result in undesirable and unexpected consequences,such as project temporalities and *** research provides a foundation for future research in urban project planning that employs strategic ways to avoid disputes caused by DMs'attitudes.

关键词： Urban planning infrastructure management heritage protection decision making evolutional attitudes conflict management evolutional GMCR

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A unified approach of energy and data cooperation in energy harvesting WSNs

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Science China(Information Sciences) 2018年第8期61卷 170-182页

作者： Roomana YOUSAF Rizwan AHMAD waqas ahmed Fu-chun ZHENG School of Electrical Engineering and Computer Science National University of Sciences and Technology Department of Electrical Engineering Pakistan Institute of Engineering and Applied Sciences School of Electronic and Information Engineering Harbin Institute of Technology

Energy harvesting(EH) provisioned wireless sensor nodes are key enablers to increase network life time in modern wireless sensor networks(WSNs). However, the intermittent nature of the EH process necessitates management of nodes’ limited data and energy buffer capacity. In this paper, a unified mathematical model for a cooperative EHWSN with an opportunistic relay is presented. The energy and data causality constraints are expressed in terms of throughput, available energy, delay and transmission *** finite energy buffers, data buffers and discrete transmission rates(as defined in the standard IEEE 802.15.4) at the nodes, different intuitive online power allocation policies at the relay are *** results show that a policy achieving high throughput is less fair and vice versa. Therefore, a joint rate and power allocation policy(JRPAP) is proposed in this study which provides a better trade off between fairness, throughput and energy over intuitive policies. Based on the JRPAP results, we propose to use data aggregation(DA) to achieve throughput gain at lower buffer sizes. In addition, the notion of energy aggregation(EA) is introduced to achieve throughput gain at higher buffer sizes. Combining both EA and DA further improves the overall throughput at all buffer sizes.

关键词： energy harvesting energy causality data causality energy aggregation data aggregation opportunistic relay

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Is Ziarat a Potential Site for Conventional or Unconventional Energy Resources?

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Acta Geologica Sinica(English Edition) 2018年第4期92卷 1544-1557页

作者： Sarfraz KHAN Umair Bin NISAR Khawar A.ahmed Muhammad WASEEM waqas ahmed National Centre of Excellence in Geology University of PeshawarPeshawar25130Pakistan Comsats Institute of Information and Technology AbbottabadPakistan Comsats Institute of Information and Technology IslamabadPakistan

A structural interpretation of the Ziarat block in the Balochistan region （a part of the Suleiman Fold and Thrust Belt） has been carried out using seismic and seismological data. Seismic data consists of nine 2.5D pre-stack migrated seismic lines, whereas the seismological data covers the Fault Plane Solution and source parameters. Structural interpretation describes two broad fault sets of fore and back thrusts in the study area that have resulted in the development of pop-up structures, accountable for the structural traps and seismicity pattern in terms of seismic hazard. Seismic interpretation includes time and depth contour maps of the Dungan Formation and Ranikot group, while seismological interpretation includes Fault Plane Solution, that is correlated with a geological and structural map of the area for the interpretation of the nature of the subsurface faults. Principal stresses are also estimated for the Ranikot group and Dungan Formation. In order to calculate anisotropic elastic properties, the parameters of the rock strength of the formations are first determined from seismic data, along with the dominant stresses （vertical, minimum horizontal, and maximum horizontal）. The differential ratio of the maximum and minimum horizontal stresses is obtained to indicate optimal zones for hydraulic fracturing, and to assess the potential for geothermal energy reservoir prospect generation. The stress maps indicate high values towards the deeper part of the horizon, and low towards the shallower part, attributed to the lithological and structural variation in the area. Outcomes of structural interpretation indicate a good correlation of structure and tectonics from both seismological and seismic methods.

关键词： fault plane solution reservoir monitoring stress analysis hydraulic fracturing geothermal energy structural interpretation

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The Impact of Team Competence and Team Communication on IT Projects Success

The Impact of Team Competence and Team Communication on IT P...

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作者： waqas ahmed 山东大学

学位级别：硕士

信息技术项目本质上是复合的,个人难以管理,因此需要团队成员的共同努力。本研究的主要目的是研究团队能力、团队沟通以及调解团队凝聚力对于信息技术(IT)项目成功的影响。为了达到研究目的,本研究使用了先前研究中所采用的工具,并从巴... 详细信息

信息技术项目本质上是复合的,个人难以管理,因此需要团队成员的共同努力。本研究的主要目的是研究团队能力、团队沟通以及调解团队凝聚力对于信息技术(IT)项目成功的影响。为了达到研究目的,本研究使用了先前研究中所采用的工具,并从巴基斯坦的两个城市收集了数据(这些数据针对的是软件公司和从事IT项目的其他公司)。大多数参与者是与IT相关的不同项目的团队成员。并对收集的数据采用偏最小二乘-结构方程建模(PLS-SEM)方法进行了分析。研究表明,团队能力、团队沟通和调解团队凝聚力对IT项目的成功具有正向影响。这项研究向团队负责人和团队成员提供了信息并提出了建议,项目组织中应该履行、实现最佳的团队沟通以及挑选有能力的个人以提高项目的效率水平。

关键词：团队能力团队沟通团队凝聚力 (IT)项目成功

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Enhanced Object Detection and Classification via Multi-Method Fusion

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Computers, Materials & Continua 2024年第5期79卷 3315-3331页

作者： Muhammad waqas ahmed Nouf Abdullah Almujally Abdulwahab Alazeb Asaad Algarni Jeongmin Park Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Department of Computer Engineering Tech University of Korea237 Sangidaehak-roSiheung-siGyeonggi-do15073South Korea

Advances in machine vision systems have revolutionized applications such as autonomous driving,robotic navigation,and augmented *** substantial progress,challenges persist,including dynamic backgrounds,occlusion,and limited labeled *** address these challenges,we introduce a comprehensive methodology toenhance image classification and object detection *** proposed approach involves the integration ofmultiple methods in a complementary *** process commences with the application of Gaussian filters tomitigate the impact of noise *** images are then processed for segmentation using Fuzzy C-Meanssegmentation in parallel with saliency mapping techniques to find the most prominent *** Binary RobustIndependent Elementary Features(BRIEF)characteristics are then extracted fromdata derived fromsaliency mapsand segmented *** precise object separation,Oriented FAST and Rotated BRIEF(ORB)algorithms *** Algorithms(GAs)are used to optimize Random Forest classifier parameters which lead toimproved *** method stands out due to its comprehensive approach,adeptly addressing challengessuch as changing backdrops,occlusion,and limited labeled data concurrently.A significant enhancement hasbeen achieved by integrating Genetic Algorithms(GAs)to precisely optimize *** minor adjustmentnot only boosts the uniqueness of our system but also amplifies its overall *** proposed methodologyhas demonstrated notable classification accuracies of 90.9%and 89.0%on the challenging Corel-1k and MSRCdatasets,***,detection accuracies of 87.2%and 86.6%have been *** ourmethod performed well in both datasets it may face difficulties in real-world data especially where datasets havehighly complex *** these limitations,GAintegration for parameter optimization shows a notablestrength in enhancing the overall adaptability and performance of our system.

关键词： BRIEF features saliency map fuzzy c-means object detection object recognition

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A low complexity online controller using fuzzy logic in energy harvesting WSNs

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Science China(Information Sciences) 2019年第4期62卷 167-176页

作者： Talha AZFAR waqas ahmed Abdul HASEEB Rizwan AHMAD Sufi Tabassum GUL Fu-Chun ZHENG Department of Electrical Engineering Pakistan Institute of Engineering and Applied Sciences (PIEAS) School of Electrical Engineering and Computer Science National University of Sciences and Technology (NUST) School of Electronic and Information Engineering Harbin Institute of Technology

In this paper, we present a fuzzy logic based scheme for a two hop energy harvesting(EH)wireless sensor network(WSN). Incorporating data and energy causality constraints, discrete transmission rates, finite energy and data buffers, a fuzzy model is developed which uses network throughput, battery level and channel gain as inputs. The fuzzy scheme is then compared with optimum, modified optimum, and Markov decision process(MDP) schemes in terms of computational complexity, throughput, battery level and data buffer capacity. The throughput results show that the fuzzy online scheme preforms closely to the compared schemes and avoids battery depletion even when the number of discrete transmission rates are increased.

关键词： wireless sensor networks energy harvesting cooperative communications fuzzy logic

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Augmenting IoT Intrusion Detection System Performance Using Deep Neural Network

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Computers, Materials & Continua 2023年第1期74卷 1351-1374页

作者： Nasir Sayed Muhammad Shoaib waqas ahmed Sultan Noman Qasem Abdullah M.Albarrak Faisal Saeed Department of Computer Science Islamia College PeshawarPeshawar25120Pakistan Department of Computer Science CECOS University of IT and Emerging SciencesPeshawar25000Pakistan Department of Electrical Engineering HITEC University TaxilaTaxila47080Pakistan Computer Science Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia DAAI Research Group Department of Computing and Data ScienceSchool of Computing and Digital TechnologyBirmingham City UniversityBirminghamB47XGUK

Due to their low power consumption and limited computing power,Internet of Things(IoT)devices are difficult to ***,the rapid growth of IoT devices in homes increases the risk of *** detection systems(IDS)are commonly employed to prevent *** systems detect incoming attacks and instantly notify users to allow for the implementation of appropriate *** have been made in the past to detect new attacks using machine learning and deep learning techniques,however,these efforts have been *** this paper,we propose two deep learning models to automatically detect various types of intrusion attacks in IoT ***,we experimentally evaluate the use of two Convolutional Neural Networks(CNN)to detect nine distinct types of attacks listed in the NF-UNSW-NB15-v2 *** accomplish this goal,the network stream data were initially converted to twodimensional images,which were then used to train the neural network *** also propose two baseline models to demonstrate the performance of the proposed ***,both models achieve high accuracy in detecting the majority of these nine attacks.

关键词： Internet of things intrusion detection system deep learning convolutional neural network supervised learning

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Loss of miR-83 extends lifespan and affects target gene expression in an age-dependent manner in Caenorhabditis elegans

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Journal of Genetics and Genomics 2018年第12期45卷 651-662页

作者： Emmanuel Enoch Dzakah ahmed waqas Shuai Wei Bin Yu Xiaolin Wang Tao Fu Lei Liu Ge Shan Division of Molecular Medicine Hefei National Laboratory for Physical Sciences at Microscalethe CAS Key Laboratory of Innate Immunity and Chronic DiseaseSchool of Life SciencesUniversity of Science and Technology of ChinaHefei 230027China Department of Molecular Biology and Biotechnology School of Biological SciencesCollege of Agriculture and Natural SciencesUniversity of Cape Coast Cape Coast 03321Ghana CAS Centre for Excellence in Molecular Cell Science.Shanghai Institutes for Biological Sciences Chinese Academy of SciencesShanghai 200031China Department of Molecular Cellularand Developmental BiologyUniversity of ColoradoBoulderColorado 80309USA

MicroRNAs(miRNAs) are short non-coding RNAs that are involved in the post-transcriptional regulation of protein-coding genes. miRNAs modulate lifespan and the aging process in a variety of organisms. In this study, we identified a role of miR-83 in regulating lifespan of Caenorhabditis elegans. mir-83 mutants exhibited extended lifespan, and the overexpression of miR-83 was sufficient to decrease the prolonged lifespan of the mutants. We observed upregulation of the expression levels of a set of miR-83 target genes in young mir-83 mutant adults; while different sets of genes were upregulated in older mir-83 mutant adults. In vivo assays showed that miR-83 regulated expression of target genes including din-1,spp-9 and col-178, and we demonstrated that daf-16 and din-1 were required for the extension of lifespan in the mir-83 mutants. The regulation of din-1 by miR-83 during aging resulted in the differential expression of din-1 targets such as gst-4 and gst-10. In daf-2 mutants, the expression level of miR-83 was significantly reduced compared to wild-type animals. We identified a role for miR-83 in modulating lifespan in C. elegans and provided molecular insights into its functional mechanism.

关键词： C. elegans miR-83 daf-2 din-1 Longevity

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Aging-independent and size-dependent genotoxic response induced by titanium dioxide nanoparticles in mammalian cells

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Journal of Environmental Sciences 2019年第11期31卷 94-106页

作者： Juan Wang Jingjing Wang Yun Liu Yaguang Nie Bo Si Tong Wang ahmed waqas Guoping Zhao Meimei Wang An Xu Key Laboratory of High Magnetic Field and Ion Beam Physical Biology Chinese Academy of Sciences Anhui Province Key Laboratory of Environmental Toxicology and Pollution Control Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei Anhui 230031 P.R.China University of Science and Technology of China Hefei Anhui 230026 P.R.China Department of Pathophysiology Anhui Medical University Hefei Anhui 230032 P.R.China Institutes of Physical Science and Information Technology Anhui University Hefei Anhui 230601 P.R.China

Titanium dioxide nanoparticles (TiO2 NPs) are subjected to various transformation processes (chemical,physical and biological processes) in the environment,potentially affecting their bioavailability and toxic ***,the size variation of TiO2 NPs during aging process and subsequent effects in mammalian cells are largely *** aim of this study was to illustrate the adverse effects of TiO2 NPs in different sizes (5,15 and <100 nm) during aging process on human-hamster hybrid (AL) *** was an aging-time dependent enhancement of average hydrodynamic size in TiO2 NPs stock *** cytotoxicity of fresh TiO2 NPs increased in a size-dependent manner;in contrast,their genotoxicity decreased with the increasing sizes of *** significant toxicity difference was observed in cells exposed to either fresh or 60 day-aged TiO2 *** Fresh and aged TiO2 NPs efficiently induced mitochondrial dysfunction and activated Caspase-3/7 in a size-dependent *** mitochondrial-DNA deficient (ρ°) AL cells,we further discovered that mitochondrial dysfunction made significant contribution to the size-dependent toxicity induced by TiO2 NPs during the aging *** together,our data indicated that TiO2 NPs could significantly induced the cytotoxicity and genotoxicity in an aging time-independent and size-dependent manner,which were triggered by mitochondrial *** study suggested the necessity to include size as an additional parameter for the cautious monitoring of TiO2 NPs disposal before entering the environment.

关键词： TiO2 NPs Aging process Human-hamster hybrid (AL) cells Mitochondria Size-effects

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Neural stem cell-derived exosome as a nano-sized carrier for BDNF delivery to a rat model of ischemic stroke

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Neural Regeneration Research 2023年第2期18卷 404-409页

作者： Zhi-Han Zhu Feng Jia waqas ahmed Gui-Long Zhang Hong Wang Chao-Qun Lin Wang-Hao Chen Lu-Kui Chen Department of Neurosurgery School of MedicineSoutheast UniversityNanjingJiangsu ProvinceChina Department of Neurosurgery Neuroscience CenterCancer CenterIntegrated Hospital of Traditional Chinese MedicineSouthern Medical UniversityGuangzhouGuangdong ProvinceChina Department of Neurosurgery The Second Affiliated Hospital of Guangzhou Medical UniversityGuangzhouGuangdong ProvinceChina Department of Neurosurgery Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghaiChina

Our previo us study demonstrated the potential therapeutic role of human neural stem cell-derived exosomes(hNSC-Exo)in ischemic ***,we loaded brain-derived neurotrophic factor(BDNF)into exosomes derived from NSCs to construct engineered exosomes(BDNF-hNSC-Exo)and compared their effects with those of hNSC-Exo on ischemic stroke both in vitro and in *** a model of H_(2)O_(2)-induced oxidative stress in NSCs,BDNF-hNSC-Exo markedly enhanced cell *** a rat middle cerebral arte ry occlusion model,BDNF-hNSC-Exo not only inhibited the activation of microglia,but also promoted the differentiation of endogenous NSCs into *** results suggest that BDNF can improve the function of NSC-derived exosomes in the treatment of ischemic stro *** research may support the clinical use of other neurotrophic factors for central nervous system diseases.

关键词： brain-derived neurotrophic factor exosome inflammation ischemic stroke neural stem cell neurogenesis neurological recovery transplantation

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