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Fractured reservoir history matching improved based on artificial intelligent

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Petroleum 2016年第4期2卷 344-360页

作者： Sayyed Hadi Riazi Ghasem Zargar Mehdi Baharimoghadam bahman Moslemi Ebrahim Sharifi Darani Department of Petroleum Engineering Petroleum University of Technology(PUT)AhwazIran Department of Reservoir Evaluation National Iranian South Oil Company(NISOC)AhwazIran

In this paper,a new robust approach based on Least Square Support Vector Machine(LSSVM)as a proxy model is used for an automatic fractured reservoir history *** proxy model is made to model the history match objective function(mismatch values)based on the history data of the *** model is then used to minimize the objective function through Particle Swarm Optimization(PSO)and Imperialist Competitive Algorithm(ICA).In automatic history matching,sensitive analysis is often performed on full simulation *** this work,to get new range of the uncertain parameters(matching parameters)in which the objective function has a minimum value,sensitivity analysis is also performed on the proxy *** applying the modified ranges to the optimization methods,optimization of the objective function will be faster and outputs of the optimization methods(matching parameters)are produced in less time and with high *** procedure leads to matching of history of the field in which a set of reservoir parameters is *** final sets of parameters are then applied for the full simulation model to validate the *** obtained results show that the present procedure in this work is effective for history matching process due to its robust dependability and fast convergence *** to high speed and need for small data sets,LSSVM is the best tool to build a proxy *** the comparison of PSO and ICA shows that PSO is less time-consuming and more effective.

关键词： Proxy model LSSVM PSO ICA Sensitive analysis

A Novel Cooperative Spectrum Sharing Algorithm Based on Optimal Cognitive Radio User Selection

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International Journal of Communications, Network and System Sciences 2012年第1期5卷 7-16页

作者： Mohammad Bigdeli bahman Abolhassani 不详

In this paper, we consider the problem of cognitive radio (CR) user selection to maximize overall CR network (CRN) throughput when the available spectrum bandwidth is less than the demand by all CR users. We formulate optimal CR user selection problem. Then, based on approximation of the average received signal to interference plus noise ratio (SINR) and adaptive modulation and coding (AMC), we estimate the required bandwidth of CR users with different required quality of services (QoSs). Using the principle of optimality, we propose a novel cooperative spectrum sharing algorithm for a CRN. The proposed algorithm not only achieves exhaustive search performance but also its complexity is in the order of N × M versus 2N for exhaustive search, where N is the number of CR users, and M is the spectrum pool size. Extensive simulation results illustrate that the proposed algorithm significantly outperforms the existing algorithms that ignore optimal CR user selection. Also, these results illustrate a better fairness criterion than those of previous works.

关键词： Cognitive Radio Network (CRN) Spectrum Sharing Spectrum Pool Principle of Optimality

玻璃纤维/木塑混杂复合材料及其协同增强效应

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高分子材料科学与工程 2006年第3期22卷 231-234页

作者：崔益华 Noruziaan bahman Lee Stephen Chang Moe 陶杰南京航空航天大学材料科学与技术学院江苏南京210016 香港科技大学土木工程系香港科技大学先进工程材料实验所

将固体废弃物中的高密度聚乙烯(HDPE)回收后与废弃的木纤维以及短切玻璃纤维进行复合,成功地制备出混杂型木塑复合材料。研究结果表明,采用长径比较大的L型玻璃纤维增强时,木塑复合材料的弯曲强度、弯曲模量以及冲击强度同时得到提高,... 详细信息

将固体废弃物中的高密度聚乙烯(HDPE)回收后与废弃的木纤维以及短切玻璃纤维进行复合,成功地制备出混杂型木塑复合材料。研究结果表明,采用长径比较大的L型玻璃纤维增强时,木塑复合材料的弯曲强度、弯曲模量以及冲击强度同时得到提高,而采用长径比较小的玻璃纤维增强时,弯曲性能和冲击强度均呈现下降趋势。玻璃纤维增强木塑复合材料的主要破坏模式为玻璃纤维的拔出、玻璃纤维断裂、界面脱粘等。在玻璃纤维/木纤维/HDPE混杂体系中由于组元之间的协同增强作用,形成了特殊的三维网络结构,木塑复合材料的力学性能得到显著改善。

关键词：木塑复合材料混杂协同增强效应再生高密度聚乙烯

Revolutionizing Treatment:AI-Driven Noninvasive Approaches for ODD and ADHD

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Management Studies 2023年第4期11卷 215-220页

作者： Shiva Dalili bahman Zohuri Independent Psychiatric Registered Nurse EncinoUSA Galaxy Advanced Engineering AlbuquerqueUSA

Oppositional Defiant Disorder(ODD)and Attention Deficit/Hyperactivity Disorder(ADHD)are mental health conditions that have traditionally been managed through behavioral therapies and ***,the integration of Artificial Intelligence(AI)has brought about a revolutionary shift in treatment *** article explores the role of AI-driven noninvasive treatments for ODD and *** offers personalized treatment plans,predictive analytics,virtual therapeutic platforms,and continuous monitoring,enhancing the effectiveness and accessibility of *** considerations and the need for a balanced approach are *** technology evolves,collaborative efforts between mental health professionals and technologists will shape the future of mental health care for individuals with ODD and ADHD.

关键词： ODD ADHD Artificial Intelligence noninvasive treatment personalized treatment predictive analytics virtual therapeutic platforms continuous monitoring mental health care technology ethical considerations Artificial Intelligence Systems

Oligonucleotide delivery by chitosan-functionalized porous silicon nanoparticles

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Nano Research 2015年第6期8卷 2033-2046页

作者： Morteza Hasanzadeh Kafshgari bahman Delalat Wing Yin Tong Frances J. Harding Martti Kaasalainen Jarno Salonen Nicolas H. Voelcker ARC Centre of Excellence in Convergent Bio-Nano Science and Technology Mawson Institute University of South Australia GPO Box 247 Adelaide SA 500 1 Australia Department of Physics and Astronomy University of Turku FI-20014 Turku Finland

Porous silicon nanoparficles （pSiNPs） are a promising nanocarrier system for drug delivery owing to their biocompatibility, biodegradability, and non-inflammatory nature. Here, we investigate the fabrication and characterization of thermally hydrocarbonized pSiNPs （THCpSiNPs） and chitosan-coated THCpSiNPs for therapeutic oligonucleotide delivery. Chitosan coating after oligonucleotide loading significantly improves sustained oligonucleotide release and suppresses burst release effects. Moreover, cellular uptake, endocytosis, and cytotoxicity of oligonucleotide-loaded THCpSiNPs have been evaluated in vitro. Standard cell viability assays demonstrate that cells incubated with the NPs at a concentration of 0.1 mg/mL are 95% viable. In addition, chitosan coating significantly enhances the uptake of oligonucleotide-loaded THCpSiNPs across the cell membrane. Moreover, histopathological analysis of liver, kidney, spleen, and skin tissue collected from mice receiving NPs further demonstrates the biocompatible and non-inflammatory properties of the NPs as a gene delivery vehicle for intravenous and subcutaneous administration in vivo. Taken together, these results suggest that THCpSiNPs provide a versatile platform that could be used as efficient vehicles for the intracellular delivery of oligonucleotides for gene therapy.

关键词： nanoparticles porous silicon chitosan gene delivery

The Utility of Artificial Intelligence for Mood Analysis,Depression Detection,and Suicide Risk Management

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Journal of Health Science 2020年第2期8卷 67-73页

作者： bahman Zohuri Siamak Zadeh Ageno School of Business Golden Gate UniversitySan FranciscoCalifornia 94105USA Galaxy Advanced Engineering AlbuquerqueNew Mexico 87111USA

Mood disorders are often an indication or a sign of depression,and individuals suffering from mood swings may face higher probability and increased suicidal ***-also called“clinical depression”or a“depressive disorder”-is a mood disorder that adversely impacts how an individual feels,thinks,and handles daily activities,such as sleeping,eating,or *** be diagnosed with depression,symptoms must be present most of the time,nearly every day for at least minimum of 2 to 3 *** sad or having low emotional energy may be common among *** most,however,these feelings are transitory and can be managed by changing daily life *** for some,prolonged mood disorders can lead to depression and foster suicidal *** is a major public health *** 47,000 people died by suicide in the United States in *** is the 10th leading cause of death overall according to NIMH(National Institute of Mental Health).Suicide is complicated and tragic,but it is often *** the warning signs for suicide and how to get help can be a major mitigating *** this short communication,we are reviewing the promise and limitations of AI(artificial intelligence)with its integrated tools such as ML(machine learning)and DL(deep learning)for mood analysis as a means for detecting early signs of depression and increased suicidal tendencies for possible suicide risk management.

关键词： Depression suicide attempt and suicide rate youngsters suicide risk management augmentation of AI in depression treatment and suicide management

Merits and Demerits of AI in HR

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Management Studies 2021年第5期9卷 412-415页

作者： Swati Choubey bahman Zohuri Department of Business Management International Technological UniversitySanta ClaraCaliforniaUSA International Technological University Santa ClaraCaliforniaUSA

This paper details the origins of Human Resources(HR),describes its applied field of Human Resource Management(HRM)and its latest reincarnation Human Capital Management(HRM).The paper then focuses on how field of Artificial Intelligence(AI)has influenced the field of HRM and finally bring to light the benefits and limitations of AI in HRM.

关键词： human resources artificial intelligence recruitment human resource management

Energy Sources Driven Electricity Production: A Global Tactical and Strategical Paradigm

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Journal of Energy and Power Engineering 2020年第1期14卷 26-32页

作者： bahman Zohuri Farhang Mossavar Rahmani Ageno School of Business Data AnalyticGolden Gate UniversitySan FranciscoCA 94105CaliforniaUSA School of Business and Management National UniversitySan DiegoCA 92123CaliforniaUSA

Energy forecasting for electricity productivity is the process of applying statistics with possible Quantum or Classical Computing with help from new innovative techniques offered by artificial intelligence to make predictions about consumption *** kind of computation presents corresponding utility costs in both the tactical and strategical or short term and long *** forecasting models take into account historical data,trends,weather inputs,tariff structures,and occupancy schedules in the urban city due to population growth,*** make ***,energy forecasting as future paradigm is driven by electricity production demand and it is a cost-effective technique to predict future energy needs,which is a paradigm to achieve demand and supply chain equilibrium based on available energy both renewable and non-renewable sources.

关键词： Quantum computing and computer classical computing and computer artificial intelligence machine learning deep learning fuzzy logic resilience system forecasting and related paradigm big data commercial and urban demand for electricity

Relationship Between Islamic Beliefs and Psychological Well-Being

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Psychology Research 2011年第1期1卷 52-59页

作者： bahman Kord Tamini Atefeh Fadaei University of Sistan and Baluchestan Zahedan lran