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2022

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Articles 6061 - 6090 of 9377

Full-Text Articles in Engineering

Production Characteristics Of Deep Coalbed Methane Gas Reservoirs In Daning-Jixian Block And Its Development Technology Countermeasures, Nie Zhihong, Shi Xiaosong, Sun Wei, Yan Xia, Huang Hongxing, Liu Ying, Feng Yanqing Mar 2022

Production Characteristics Of Deep Coalbed Methane Gas Reservoirs In Daning-Jixian Block And Its Development Technology Countermeasures, Nie Zhihong, Shi Xiaosong, Sun Wei, Yan Xia, Huang Hongxing, Liu Ying, Feng Yanqing

Coal Geology & Exploration

The Ordos Basin is rich in deep coalbed methane resources with a depth of more than 2 000 m, which is an important coalbed methane exploration and development area. A number of tests on deep coalbed methane have been carried out in Daning-Jixian Block, and preliminary results have been achieved, but the main technology of scale-efficient development needs to be studied. On the basis of the analysis of experimental data, production data and fracture monitoring data, and by the evaluation of the characteristics, production performance and fracturing effect of deep coalbed methane reservoirs in Daning-Jixian Block, the production characteristics of …

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Mix Method Approach Of Measuring Vr As A Pedagogical Tool To Enhance Experimental Learning: Motivation From Literature Survey Of Previous Study, Muhammad Mujtaba Asad, Aisha Naz Ansari, Prathamesh Churi, Antonio José Moreno Guerrero, Anas A. Salameh Mar 2022

Mix Method Approach Of Measuring Vr As A Pedagogical Tool To Enhance Experimental Learning: Motivation From Literature Survey Of Previous Study, Muhammad Mujtaba Asad, Aisha Naz Ansari, Prathamesh Churi, Antonio José Moreno Guerrero, Anas A. Salameh

Institute for Educational Development, Karachi

This research has been experimented on our previous literature review. Technological advancement has prevailed in the modern era from the 20th century. Artificial intelligence and virtual worlds have been created for rapid technological development. This paper is aimed at exploring the effect of virtual reality as a pedagogical tool for enhancing experiential learning among undergraduate students. Considering this, it was a mixed-methods study following the design of sequential exploratory–which includes qualitative followed by quantitative part. The targeted population was undergraduate students taking education programs from Public Sector Universities of Sindh. For the qualitative part, the sample of eight undergraduate students …

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Progress Of Coalbed Methane Exploration And Development In China During The 13th Five-Year Plan Period And The Next Exploration Direction, Ye Jianping, Hou Songyi, Zhang Shouren Mar 2022

Progress Of Coalbed Methane Exploration And Development In China During The 13th Five-Year Plan Period And The Next Exploration Direction, Ye Jianping, Hou Songyi, Zhang Shouren

Coal Geology & Exploration

Based on survey data of coalbed methane exploration and development projects in China, the production status of coalbed methane fields and scientific & technological achievements, this paper analyzes the comprehensive control technical measures for stable and increasing production of coalbed methane fields, and the geological conditions and potential of deep coalbed methane exploration breakthrough. The coalbed methane horizontal well technology and the matching well pattern optimization and drainage technology are also summarized. The results show that the most effective technical measures for the comprehensive control of stable production of coalbed methane fields and low production wells in China are four …

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Research Progress Of Multi-Source And Multi-Stage Genesis Of Co2-Enriched Cbm And The Enlightenments For Its Exploration And Development, Tang Shuling, Tang Dazhen, Sun Bin, Tao Shu, Zhang Taiyuan, Pu Yifan, Zhang Aobo, Zhi Yuanhao Mar 2022

Research Progress Of Multi-Source And Multi-Stage Genesis Of Co2-Enriched Cbm And The Enlightenments For Its Exploration And Development, Tang Shuling, Tang Dazhen, Sun Bin, Tao Shu, Zhang Taiyuan, Pu Yifan, Zhang Aobo, Zhi Yuanhao

Coal Geology & Exploration

CO2-enriched coalbed methane(CBM) carries important geological information on CBM genesis and accumulation, and is closely related to the exploration and evaluation of CBM resources. On the basis of the systematic summary of the current research progress of CBM genesis, the current research status of the genetic mechanism of CO2-enriched CBM reservoirs was scientifically analyzed by dissecting the special geological examples of CO2-enriched CBM reservoirs in the southern Junggar Basin, and the problems in the research process of CBM genesis were comprehensively pointed out. The study shows that the generation of CBM has multiple sources …

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Theoretical Basis Of Dredging And Efficient Development Of High−Rank Coalbed Methane In China: A Case Study Of The Qinshui Basin, Zhu Qingzhong Mar 2022

Theoretical Basis Of Dredging And Efficient Development Of High−Rank Coalbed Methane In China: A Case Study Of The Qinshui Basin, Zhu Qingzhong

Coal Geology & Exploration

China is rich in high-rank coalbed methane(CBM) resources, which accounts for more than 90% of the total production of CBM in China. The efficient development and utilization of high-rank coal and coalbed methane(CBM) resources is of great practical significance for ensuring national energy strategic security and helping to achieve the strategic goals of “carbon peak and carbon neutrality”. The coalbed methane industry in China is generally characterized by low exploration and development degree, poor adaptability of main technology, low rate of return on investment and small development scale. The large-scale and efficient development of coalbed methane is faced with great …

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Influence Of Coal Lithotypes On Adsorption/Desorption Characteristics In Coal Reservoirs And Its Practical Significance: A Case Study In Baode Block, Hou Wei, Xu Fengyin, Zhang Lei, Zhang Wei, Meng Yanjun, Liu Qihu, Li Yongchen, Fan Hongbo, Wang Hongya, Zhang Shuangyuan, Zhang Wen Mar 2022

Influence Of Coal Lithotypes On Adsorption/Desorption Characteristics In Coal Reservoirs And Its Practical Significance: A Case Study In Baode Block, Hou Wei, Xu Fengyin, Zhang Lei, Zhang Wei, Meng Yanjun, Liu Qihu, Li Yongchen, Fan Hongbo, Wang Hongya, Zhang Shuangyuan, Zhang Wen

Coal Geology & Exploration

The difference of coal lithotypes is an important factor affecting the adsorption/desorption characteristics of coalbed methane (CBM) and the productivity of CBM wells. According to four coal samples of different lithotypes from No. 8+9 Coal Seam in Well BX-2, proximate analysis, maceral, wettability and isothermal adsorption/desorption experiments are carried out, and the influence of coal lithotypes on CBM adsorption/desorption characteristics and its mechanism is discussed. The results show that vitrinite content in dull, semi-dark, semi-bright and bright coal samples increases gradually, water and ash content decreases gradually, hydrophilicity decreases gradually, and the Langmuir volume increases gradually. Bright and semi-bright coal …

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Characteristics Of Coal Reservoirs And Favorable Areas Classification And Optimization Of Cbm Planning Blocks In Guizhou Province, Xiang Wenxin, Sang Shuxun, Wu Zhangli, Tu Bin, Guo Zhijun, Han Sijie, Zhou Xiaozhi, Zhou Peiming Mar 2022

Characteristics Of Coal Reservoirs And Favorable Areas Classification And Optimization Of Cbm Planning Blocks In Guizhou Province, Xiang Wenxin, Sang Shuxun, Wu Zhangli, Tu Bin, Guo Zhijun, Han Sijie, Zhou Xiaozhi, Zhou Peiming

Coal Geology & Exploration

The scientific evaluation of favorable CBM blocks concerns the deployment of CBM exploration and development and the maximization of benefits. On the basis of the existing geological and engineering data, the geological background, resource characteristics, occurrence characteristics and reservoir characteristics of CBM are studied in the 18 blocks with unregistered mining rights in Guizhou Province. According to the principle of coal rank classification and evaluation, the optimum block among the 18 blocks is selected by using the multi-level fuzzy comprehensive evaluation method. The results are as follows. (1) The coal seams of Longtan Formation in the 18 planning blocks of …

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Multi-Scale Prediction Of Coal Seam Fracture Development In Mg Block, Eastern Margin Of Ordos Basin, Zhu Guanghui, Li Zhongcheng, Shi Suzhen, Shi Hao, Lin Liming, Liu Yancheng, Zhang Xin Mar 2022

Multi-Scale Prediction Of Coal Seam Fracture Development In Mg Block, Eastern Margin Of Ordos Basin, Zhu Guanghui, Li Zhongcheng, Shi Suzhen, Shi Hao, Lin Liming, Liu Yancheng, Zhang Xin

Coal Geology & Exploration

Finding out the development characteristics of coal seam fractures is of great significance for coalbed methane exploitation and safe production of underground coal mines. Logging and seismic are effective means of geophysical identification of coal seam fractures. Electrical imaging, resistivity, density, sonic differential time, natural gamma, neutron porosity and array acoustic logs are used to describe the small scale fracture morphology of No.8 and No.9 coal seams of MG block in the eastern margin of Ordos Basin. The middle-scale fracture of No.8 and No.9 coal seams was predicted by prestack Azimuth AVO inversion in OVT domain. And the large-scale fracture …

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Barriers And Enablers For Older Adults Participating In A Home-Based Pragmatic Exercise Program Delivered And Monitored By Amazon Alexa: A Qualitative Study, Paul Jansons, Jackson Fyfe, Jack Dalla Via, Robin M. Daly, Eugene Gvozdenko, David Scott Mar 2022

Barriers And Enablers For Older Adults Participating In A Home-Based Pragmatic Exercise Program Delivered And Monitored By Amazon Alexa: A Qualitative Study, Paul Jansons, Jackson Fyfe, Jack Dalla Via, Robin M. Daly, Eugene Gvozdenko, David Scott

Research outputs 2022 to 2026

Background: The remote delivery and monitoring of individually-tailored exercise programs using voice-controlled intelligent personal assistants (VIPAs) that support conversation-based interactions may be an acceptable alternative model of digital health delivery for older adults. The aim of this study was to evaluate the enablers and barriers for older adults participating in a home-based exercise program delivered and monitored by VIPAs. Method: This qualitative study used videoconferencing to conduct semi-structured interviews following a 12-week, prospective single-arm pilot study in 15 adults aged 60 to 89 years living alone in the community. All participants were prescribed an individualized, brief (10 min, 2–4 times …

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A Combined Approach For Private Indexing Mechanism, Pranita Maruti Desai Ms., Vijay Maruti Shelake Mr. Mar 2022

A Combined Approach For Private Indexing Mechanism, Pranita Maruti Desai Ms., Vijay Maruti Shelake Mr.

Journal of Digital Forensics, Security and Law

Private indexing is a set of approaches for analyzing research data that are similar or resemble similar ones. This is used in the database to keep track of the keys and their values. The main subject of this research is private indexing in record linkage to secure the data. Because unique personal identification numbers or social security numbers are not accessible in most countries or databases, data linkage is limited to attributes such as date of birth and names to distinguish between the number of records and the real-life entities they represent. For security reasons, the encryption of these identifiers …

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Microstructural Characteristics And Mechanical Properties Of Additively Manufactured Cu–10sn Alloys By Laser Powder Bed Fusion, Abhishek Mehta, Le Zhou, Holden Hyer, Thinh Huynh, Binghao Lu, Erica J. Drobner, Sun Hong Park, Yongho Sohn Mar 2022

Microstructural Characteristics And Mechanical Properties Of Additively Manufactured Cu–10sn Alloys By Laser Powder Bed Fusion, Abhishek Mehta, Le Zhou, Holden Hyer, Thinh Huynh, Binghao Lu, Erica J. Drobner, Sun Hong Park, Yongho Sohn

Mechanical Engineering Faculty Research and Publications

Cu – 10 wt% Sn (Cu–10Sn) alloy specimens were additively manufactured by varying the laser powder bed fusion (LBPF) processing parameters, e.g., laser power (200–350 W) and laser scan speed (100–1400 mm/s) at a fixed hatch spacing (0.12 mm) and slice thickness (0.03 mm), to examine their effects on the density, melt pool structure, and microstructure. Microstructural characteristics of the most dense sample were examined using electron microscopy (SEM, TEM) and X-ray Diffraction. The grains in the top-most melt pool layer showed a fan-like structure, whereas all other areas showed small columnar structure aligned nearly parallel to the build direction …

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Activated Carbon As Superadsorbent And Sustainable Material For Diverse Applications, Gaurav Sharma, Shweta Sharma, Amit Kumar, Chin Wei Lai, Mu. Naushad, Shehnaz (Panjab University Shehnaz (Panjab University, Jibran Iqbal, Florian J. Stadler Mar 2022

Activated Carbon As Superadsorbent And Sustainable Material For Diverse Applications, Gaurav Sharma, Shweta Sharma, Amit Kumar, Chin Wei Lai, Mu. Naushad, Shehnaz (Panjab University Shehnaz (Panjab University, Jibran Iqbal, Florian J. Stadler

All Works

Activated carbon is a carbonaceous material with highly porous structure. Different functionalities can be introduced to its surface by various physical and chemical treatments. Various precursors can be used for the synthesis of activated carbon such as fossil fuels, agricultural wastes, and lignocellulosic wastes, etc. Number of papers have been reported in literature devoted to the synthesis, characterization, and various applications of activated carbon. Herein, in this review, special attention has been paid to the basic properties of activated carbon and its surface chemistry originated due to physical and chemical treatment. In addition, a general introduction to adsorption process, various …

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Design And Evaluation Of A Prototype Low-Damage Beam-Column Connection For Mass Timber Moment Frames, Samuel D. Richmann Mar 2022

Design And Evaluation Of A Prototype Low-Damage Beam-Column Connection For Mass Timber Moment Frames, Samuel D. Richmann

Civil and Environmental Engineering Master's Project Reports

A moment-resisting, beam-column connection for mass timber moment frames was developed, designed and tested. The design was intended to limit damage to the timber members by creation of a ductile failure mechanism in steel U-shaped flexural plates (UFPs). Using design equations developed by previous research on UFPs by Baird, et al. (2014) as well as accepted design practices from the NDS and AISC, the components were sized to eliminate failure in the timber. The connection was tested using a quasi-static lateral displacement method following the procedure outlined in section K2.4b of AISC 341-16. A vertical load was placed on the …

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Towards Trojan Detection From A Raw Bitstream, Corey Ryan Simpson Mar 2022

Towards Trojan Detection From A Raw Bitstream, Corey Ryan Simpson

Theses and Dissertations

Many avenues exist to insert malicious circuitry into an FPGA designs, including compromised CAD tools, overwriting bitstream files, and post-deployment attacks. The proprietary nature of the Xilinx bitstreams precludes the ability to validate an implemented design. This thesis introduces the BitRec and IPRec projects in an effort to support trojan detection tools. BitRec provides a novel approach to mapping of the Xilinx bitstream format into FPGA features in order to recreate the original design's netlist. BitRec supports the 7 Series, UltraScale and UltraScale+ architectures. IPRec then provides a novel approach to recognizing parameterizable IP within a flattened netlist in an …

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Exploring Magneto-Excitons In Bulk And Mono-Layer Semiconductors Using Non-Linear Spectroscopy Techniques, Varun Mapara Mar 2022

Exploring Magneto-Excitons In Bulk And Mono-Layer Semiconductors Using Non-Linear Spectroscopy Techniques, Varun Mapara

USF Tampa Graduate Theses and Dissertations

The research in two-dimensional (2D) materials has evolved from ``traditional" quantum wells based on group III-V and II-VI semiconductors to atomically thin sheets of van der Waals materials such as 2D semiconducting Transition Metal Dichalcogenides (TMDs). These 2D materials remain a stimulating field that continues to introduce new challenges. From both a fundamental physics and technological perspective, magneto-optical spectroscopy has been an essential tool in this research field. TMDs, for example, pose the challenge of characterizing their spin-valley-resolved physics and deriving implications in quantum computation and information research. With the discovery of valley Zeeman effects, the spin-valley physics of TMDs …

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Photo-Induced Drug Release From Polymeric Micelles And Liposomes: Phototriggering Mechanisms In Drug Delivery Systems, Najla M. Salkho, Nahid S. Awad, William G. Pitt, Ghaleb A. Husseini Mar 2022

Photo-Induced Drug Release From Polymeric Micelles And Liposomes: Phototriggering Mechanisms In Drug Delivery Systems, Najla M. Salkho, Nahid S. Awad, William G. Pitt, Ghaleb A. Husseini

Faculty Publications

Chemotherapeutic drugs are highly effective in treating cancer. However, the side effects associated with this treatment lower the quality of life of cancer patients. Smart nanocarriers are able to encapsulate these drugs to deliver them to tumors while reducing their contact with the healthy cells and the subsequent side effects. Upon reaching their target, the release of the encapsulated drugs should be carefully controlled to achieve therapeutic levels at the required time. Light is one of the promising triggering mechanisms used as external stimuli to trigger drug release from the light-responsive nanocarriers. Photo-induced drug release can be achieved at a …

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Research On 3d Path Planning Algorithm Based On Fast Rrt Algorithm, Zhaoqiang Li, Shiyu Zhang Mar 2022

Research On 3d Path Planning Algorithm Based On Fast Rrt Algorithm, Zhaoqiang Li, Shiyu Zhang

Journal of System Simulation

Abstract: RRT (rapidly exploring random tree) algorithm is a sampling-based path planning algorithm, which can search a path in high-dimensional environment. The traditional RRT algorithm has the problems of low node utilization and large amount of calculation. To solve these problems, the fast RRT* (Quick RRT*) algorithm is improved by optimizing the strategy of reselection of parent node and pruning range, improving the sampling method and introducing adaptive step size, which makes the algorithm time-consuming and path length shorter. At the same time, the node connection screening strategy is added to eliminate the excessive turning angle in the path. …

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Research On Real-Time Motion Matching Of Shadow Play Based On Kinect, Chuanqian Tang, Zhiqiang Liu, Yijun Su, Xiaojing Liu Mar 2022

Research On Real-Time Motion Matching Of Shadow Play Based On Kinect, Chuanqian Tang, Zhiqiang Liu, Yijun Su, Xiaojing Liu

Journal of System Simulation

Abstract: In the inheritance of shadow play culture, due to the aging of the audience and the discontinuity of inheritance, the shadow play culture is gradually facing decline. Real-time matching of shadow play movements based on Kinect can inject new vitality into traditional shadow play culture. According to the characteristics of shadow play, a joint point shadow play model is constructed, and the static digitization of shadow play is realized. The human body depth image is obtained based on Kinect, and the human skeleton point coordinates are obtained through segmentation mask and machine learning to generate the human skeleton.Bone …

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Achieving Optimal Value Of Solar: A Municipal Utility Rate Analysis, Ben Saarloos, Jason C. Quinn Mar 2022

Achieving Optimal Value Of Solar: A Municipal Utility Rate Analysis, Ben Saarloos, Jason C. Quinn

Faculty Work Comprehensive List

Wind and solar renewable energy in the United States is projected to triple by 2050 to nearly 30% of total electric energy generation. The upper Midwest region (Iowa, Minnesota, and North and South Dakota in particular) is considered wind energy country and not historically known for solar energy development. In this work, Value of Solar (VOS) is developed as a photovoltaic (PV) optimization measure and analysis tool using a northwest Iowa municipality as a representative case study. By applying a top-down load duration curve system analysis, VOS is used to optimize PV orientation and compare electric rate structures for increasing …

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Microcystin-Lr Removal From Water Via Enzymatic Linearization And Ultrafiltration, Abelline Fionah, Cannon Hackett, Hazim Aljewari, Laura Brady, Faisal Alqhtani, Isabel C. Escobar, Audie K. Thompson Mar 2022

Microcystin-Lr Removal From Water Via Enzymatic Linearization And Ultrafiltration, Abelline Fionah, Cannon Hackett, Hazim Aljewari, Laura Brady, Faisal Alqhtani, Isabel C. Escobar, Audie K. Thompson

Chemical Engineering Faculty Publications and Presentations

Microcystin-LR (MC-LR) is a toxin produced by cyanobacteria that can bloom in freshwater supplies. This study describes a new strategy for remediation of MC-LR that combines linearization of the toxin using microcystinase A, MlrA, enzyme with rejection of linearized byproducts using membrane filtration. The MlrA enzyme was expressed in Escherichia coli (E. coli) and purified via a His-tag with 95% purity. Additionally, composite membranes made of 95% polysulfone and 5% sulfonated polyether ether ketone (SPEEK) were fabricated and used to filter a solution containing cyclic and linearized MC-LR. Tests were also performed to measure the adsorption and desorption of MC-LR …

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Autonomous Design Of New Chemical Reactions Using A Variational Autoencoder, Terence Musho, Robert Tempke Mar 2022

Autonomous Design Of New Chemical Reactions Using A Variational Autoencoder, Terence Musho, Robert Tempke

Faculty & Staff Scholarship

Artificial intelligence based chemistry models are a promising method of exploring chemical reaction design spaces. However, training datasets based on experimental synthesis are typically reported only for the optimal synthesis reactions. This leads to an inherited bias in the model predictions. Therefore, robust datasets that span the entirety of the solution space are necessary to remove inherited bias and permit complete training of the space. In this study, an artificial intelligence model based on a Variational AutoEncoder (VAE) has been developed and investigated to synthetically generate continuous datasets. The approach involves sampling the latent space to generate new chemical reactions. …

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Standards-Compatible Smoke Points For Mono- And Un- Substituted Cycloalkane Fuel Components, Adekunle Vincent Adeniyi Mar 2022

Standards-Compatible Smoke Points For Mono- And Un- Substituted Cycloalkane Fuel Components, Adekunle Vincent Adeniyi

Theses and Dissertations

Emissions from the aviation industry have increased significantly over the decades and may continue to pose an environmental threat. Accordingly, efforts are being made to replace conventional aviation fuels with more sustainable alternatives that can both reduce net CO2 emissions as well as reduce other pollutants (i.e., particulates). Conventional jet fuels include aromatic species, which have high sooting tendency. Therefore, to reduce particulate emissions, the fuel aromatics content must be reduced. Cycloalkanes have potential for replacing aromatics content in jet fuel but, compared to other broad classes of chemical species that make up conventional and alternative jet fuel, there is …

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Effectiveness Evaluation Of Surface Ship Air Defense And Antimissile Combat In Complex Electromagnetic Environment, Gaofeng Zhang, Liang Wu Mar 2022

Effectiveness Evaluation Of Surface Ship Air Defense And Antimissile Combat In Complex Electromagnetic Environment, Gaofeng Zhang, Liang Wu

Journal of System Simulation

Abstract: In order to effectively evaluate the effectiveness of surface ship air defense and antimissile combat in complex electromagnetic environment, a surface ship air defense and antimissile combat effectiveness index system is established considering the influence of equipment, environment and human behavior, the evaluation process of surface ship air defense and antimissile combat effectiveness based on analytic hierarchy process(AHP) is proposed, and a hierarchical structure model of effectiveness evaluation is constructed including five levels of target layer, sub-efficiency layer, capability layer, constraint layer and plan layer. The application shows that the evaluation process and structure model can fully reflect the …

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New Embedded Simulation Technology For Smart Internet Of Things, Bohu Li, Xudong Chai, Lin Zhang, Duzheng Qing, Guoqiang Shi, Tingyu Lin, Liqin Guo, Chen Yang, Mu Gu, Zhengxuan Jia, Hui Gong, Zhen Tang Mar 2022

New Embedded Simulation Technology For Smart Internet Of Things, Bohu Li, Xudong Chai, Lin Zhang, Duzheng Qing, Guoqiang Shi, Tingyu Lin, Liqin Guo, Chen Yang, Mu Gu, Zhengxuan Jia, Hui Gong, Zhen Tang

Journal of System Simulation

Abstract: Human society in the new development era and journey is facing the new situation. The operation paradigm, technology and ecosystem of industries related to the national economy and people's livelihood、national security are changing significantly towards the digital, networked, cloud-based and intelligent "Smart Internet of Things". The new embedded simulation technology, with the capabilities of online and continuous analysis, cognition, learning, decision-making, operation and optimization,is urgently needed for the development of "Smart Internet of Things". "Smart Internet of Things" is briefly introduced and the connotation, characteristics and application mode of the new embedded simulation technology are proposed and its architecture, …

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Open Cloud Architecture Design For Complex Product Modeling And Simulation System, Guoqiang Shi, Zewei Liu, Tingyu Lin, Zhao Xu, Xingyi Yang, Liqin Guo, Zhengxuan Jia Mar 2022

Open Cloud Architecture Design For Complex Product Modeling And Simulation System, Guoqiang Shi, Zewei Liu, Tingyu Lin, Zhao Xu, Xingyi Yang, Liqin Guo, Zhengxuan Jia

Journal of System Simulation

Abstract: Aiming at the problem that the complex product modeling and simulation system focuses on co-simulation of heterogeneous models and cannot realize the on-demand sharing and collaboration of simulation resources, this paper proposes an open cloud architecture for complex product modeling and simulation systems, realized on-demand sharing and collaboration of cross-organizational simulation software and hardware resources, thereby supporting complex product system-wide, full-lifecycle, anytime, anywhere, real-time, coherent, and transparently requesting accessing and obtaining simulation services. The object-process methodology (OPM) is used to model and deduce the simulation interoperability of the system and the on-demand sharing and collaborative process of simulation resources. …

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Research On Integrated Scheduling Of Agv And Machine In Flexible Job Shop, Kui Chen, Li Bi, Wenya Wang Mar 2022

Research On Integrated Scheduling Of Agv And Machine In Flexible Job Shop, Kui Chen, Li Bi, Wenya Wang

Journal of System Simulation

Abstract: Aiming at the flexible job shop scheduling problem with AGV (automated guided vehicle), a dual resource integrated scheduling optimization model with the objective of minimizing makespan is established. In the process of population initialization, a heuristic initialization method is proposed to improve the quality of population initial solution and accelerate the convergence speed of the algorithm. A hybrid discrete particle swarm optimization algorithm that can effectively avoid premature maturation is proposed by combining the competitive learning mechanism and the random restart mechanism to address the disadvantages of discrete particle swarm algorithms that are prone to premature maturation. Simulation experiments …

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Cause Analysis Of Vocs Hazards In Related Areas Based On Object Function Petri Net, Guangqiu Huang, Tiantian Wu Mar 2022

Cause Analysis Of Vocs Hazards In Related Areas Based On Object Function Petri Net, Guangqiu Huang, Tiantian Wu

Journal of System Simulation

Abstract: The multi-resolution formal description based on discrete event system specification (DEVS) has the ability of hierarchical and structured description, but the description of the intelligent behavior inside the module is relatively lacking, while Agent-based modeling can describe the characteristics of individual perception, behavior, communication, cooperation, learning and evolution. Under the framework of multi-resolution modeling, DEVS and Agent model descriptions are combined to provide the description capabilities for events, behaviors, mechanisms, etc. Based on the description of multi-resolution DEVS models, a formal model description method with coupling closure is proposed, which includes the description of the multi-resolution entity-level atomic model …

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Electronic Solid Waste Prediction Based On Intelligent Optimization Grey Model, Xiaoan Sun, Xiaoli Luan, Fei Liu Mar 2022

Electronic Solid Waste Prediction Based On Intelligent Optimization Grey Model, Xiaoan Sun, Xiaoli Luan, Fei Liu

Journal of System Simulation

Abstract: Aiming at the problems of complex modeling mechanism and low modeling accuracy in the prediction of electronic solid waste production, an intelligent modeling method combining fractional order multiple gray model and neural network compensation model is proposed. Particle swarm optimization is used to optimize the accumulative order and background parameters of the gray model to maximize the performance of the gray model. BP neural network is used to compensate the error of gray modeling and improve the prediction accuracy of solid waste production. The effectiveness of the proposed method is verified by Washington state electronic solid waste data. The …

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Job Shop Rescheduling Under Recessive Disturbance Based On Digital Twin, Dinghui Wu, Tongrui Zhang, Xiuli Zhang Mar 2022

Job Shop Rescheduling Under Recessive Disturbance Based On Digital Twin, Dinghui Wu, Tongrui Zhang, Xiuli Zhang

Journal of System Simulation

Abstract: A new shop rescheduling model driven by digital twin is proposed to solve the problems of disturbance cumulative rescheduling. A scheduling parameter updating method is proposed and a random probability distribution is used to describe the distribution of scheduling parameters to improve the accuracy of scheduling parameters. An implicit disturbance detection model is built based on Siamese Network using real-time data as input to realize the start time of rescheduling. The sample data for scheduling knowledge mining are extracted from the historical scheduling scenarios. Through the Pseudo-Siamese CNN, the mapping relationship between the Process state and machine state is …

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Research On Binocular Ranging System Based On Image Features, Jinghui Yang, Dekang Liu, Wanhe Du, Lining Xing Mar 2022

Research On Binocular Ranging System Based On Image Features, Jinghui Yang, Dekang Liu, Wanhe Du, Lining Xing

Journal of System Simulation

Abstract: Aiming at the problems of large measurement error, single image information, and poor real-time performance in binocular vision ranging, a binocular ranging method based on ORB (oriented fast and rotated brief) features is proposed. Median filtering is performed on the video frame, the ORB feature of the image is extracted, and the Hamming distance with the best matching effect is selected through experiments. The RANSAC (random sample consensus) model estimation is performed on the selected matching points, the mismatches are removed, the model relationship between parallax and true distance is analyzed, the optimal ranging model is constructed and verified …

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