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Deeper Into The Knight: Exploring Deans Knight And Its Effects On The Canadian Gaar, Jinyan Li, Marshall Rothstein, Steve Suarez, Jeffrey Trossman

Articles & Book Chapters

This article discusses the most recent decision of the Supreme Court of Canada in Deans Knight Income Corporation v. Canada (2023) and explores its implications for the Canadian GAAR.

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Cloud-Edge Collaborative Service Architecture For Lvc Training System, Peng Yong, Miao Zhang, Yue Hu

Journal of System Simulation

Abstract: LVC training, an important means of military training, has received great attention from military and M&S experts. As the virtual and physical elements become more abundant and deeply integrated, LVC training systems become increasingly complex. Aiming at physical-virtual connection, information interaction, simulation computation, run-time control, etc., this paper designs a cloud-edge collaborative service architecture for LVC training systems (CESA-LVC) by reference to cyber-physical systems and cloud-edge computing architectures. CESA-LVC standardizes the structures of LVC training systems from several aspects of intelligent real-time interconnection, joint simulation computation, training auxiliary service, training cognitive decision, and dynamic configuration optimization. It provides a …

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Research On Support Effectiveness Evaluation Method Of Equipment Systems Based On Pert And Abms, Shanzhi Ma, Hongliang Wang, Hua He, Weicheng Lun

Journal of System Simulation

Abstract: The support of an equipment system directly affects its combat effectiveness, and the support effectiveness evaluation of equipment systems has the characteristics of large scope, multiple levels, complete elements, and long process. According to the systematic combat requirements of aircraft equipment, the difficulties in evaluating the support effectiveness of aircraft equipment systems are analyzed. The PERT-based modeling method of airfield support is proposed, and the PERT-based process model of equipment system support activity is established according to the modeling requirements and sequential characteristics of aircraft equipment support tasks. The operational model framework of combinable equipment systems based on ABMS …

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Simulation Research On Multi-Antenna Coupled Radiation Of Launch Vehicle In Tower, Fen Zhang, Tao Yu, Yong Han, Longwei He

Journal of System Simulation

Abstract: The signal radiation of the launch vehicle wireless system test in the closed tower of the launching site is very complex. In order to further study the antenna radiation characteristics, especially the multi-antenna coupled radiation in the whole vehicle state, a multi antenna model with tower-vehicle body is established in this paper based on UG modeling technology and Altair Hyper Works 2017 electromagnetic compatibility simulation platform. It involves the method of moments-physical optics (MOM-PO) hybrid algorithm and delineates different calculation areas for different scale divisions, so as to solve quickly and accurately electromagnetic parameters of multi-antenna coupled radiation. The …

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Survey On Intelligent Wargaming: Tactical & Campaign Wargame And Strategic Game From Game-Theoretic Perspective, Junren Luo, Wanpeng Zhang, Fengtao Xiang, Chaoyuan Jiang, Jing Chen

Journal of System Simulation

Abstract: Wargaming is a pre-practice activity to study national security and competition, military conflict and war, crisis management, and other major strategic issues. An intelligent wargaming system needs the ability of artificial intelligence technology. This paper briefly summarizes the research progress of intelligent game, the evolution of wargaming, intelligent wargaming, and strategic gaming methods. From the perspective of game theory, it analyzes the game problem model for intelligent wargaming and sorts out the application mode of intelligent wargaming and the organization mode of a strategic game. An intelligent wargaming service-oriented architecture based on cloud native is proposed. Pre-training method for …

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Research On Flight Route Planning For Specific Multi-Missions, Lin Zhong, Ming'an Tong, Sheng Li

Journal of System Simulation

Abstract: In order to complete specific aviation missions, a flight route planning model for specific multi-missions is presented. The grid method is used to build a battlefield environment model. Accordingto the complex and real battlefield environment and operational requirements, five target route planning models including distance, fuel consumption, mission completion, ground-to-air threat, and air-to-air threat are proposed. On the basis of specific mission demands, several requirements for missions are analyzed, and the index of mission completion is presented. According to the problem's characteristics, the two-stage solution algorithm for route planning is proposed. In the first stage, the multi-mission sequence is …

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Research On Artificial Population Generation And Application Based On Genetic Algorithm, Hongli Zhang, Jingshuang Deng

Journal of System Simulation

Abstract: High-precision micro-population data are one of the key basic data for simulation systems such as disease spread, traffic travel, and emergency events. In reality, computer-generated artificial populations are often used for simulation. Due to computational efficiency and standardization of generation steps, the iterative proportional fitting method is currently used for artificial population synthesis. However, it has strict requirements on basic data and faces zero-unit and data representational deviation problems, and it fails to guarantee the fitting at the individual and family levels at the same time. In order to overcome this deficiency, an improved genetic algorithm using a simulated …

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Data Generation Model-Based Synthetic Sample Imputation Method, Yulin He, Jiaqi Chen, Hepeng Xu, Zhexue Huang, Jianfei Yin

Journal of System Simulation

Abstract: In order to solve the problem of inconsistent probability distribution between synthetic samples by imputation and real samples, a data generation model-based synthetic sample imputation (DGM-SSI) method is proposed. The data generation model of real samples is constructed based on the Gaussian mixture model, and the number of corresponding components of the Gaussian mixture model is determined by the multi-model fusion strategy. The synthetic samples required for model imputation are generated by using the data obtained from the real samples. Specifically, the components of the data generation model and their weights are used to control the generation of synthetic …

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Research On Hierarchical Motion Planning Method For Uav Substation Inspection, Songming Jiao, Yunfeng Shou, Jianpeng Bai, Zhu Wang

Journal of System Simulation

Abstract: In order to improve the efficiency and quality of unmanned aerial vehicle (UAV) substation inspection, a hierarchical motion planning method for UAV inspection based on front-end path search and back-end trajectory generation is proposed. At the front end, an improved A* algorithm is proposed to increase the planning speed and reduce the path turnings by constraining the direction of node expansion and modifying the heuristic function. At the back end, a minimum-snap trajectory optimization combined with the waypoint filtering method is proposed to generate a smooth trajectory that is beneficial for UAV inspection and tracking. The simulation results show …

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Research On Intelligent Statistical Analysis Of Wargaming Data Based On Nl2sql, Laixiang Yin, Zhiqiang Li, Qiongying Fu

Journal of System Simulation

Abstract: In the face of massive wargaming data, the traditional interface query method can no longer meet the commander's requirements, i. e., fast, comprehensive, and accurate data querying. Through indepth analysis of the characteristics of wargaming data and the defects of the mainstream natural language to struct query language (NL2SQL) model, a set of solutions for the intelligent statistical query of wargaming data is presented. Due to the lack of datasets, a wargaming dataset construction scheme based on human-machine assistance and dynamic iteration is provided. In order to solve the timesensitive problem of wargaming querying, time expression recognition and standardization …

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Construction And Application Of Digital Twin System For Optical Fiber Secondary Coating Workshop, Biao Yuan, Yourui Huang, Shanyong Xu, Xue Rong

Journal of System Simulation

Abstract: In order to solve the problem that the current optical fiber secondary coating workshop has inferior intelligence and low digital degree, a three-dimensional (3D) visual monitoring and fault diagnosis method for the optical fiber secondary coating workshop based on digital twin (DT) is proposed. In view of the equipment in the optical fiber secondary coating workshop, combined with the workshop production process and equipment operation mechanism, the digital modeling of all physical properties of the optical fiber secondary coating workshop is carried out, and the virtual twin scene is constructed. Real-time mapping between the virtual workshop and the physical …

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3d Garment Collision Simulation Based On Human Skeletal Features, Yuanyuan Chen, Yongjian Huai, Xiaoying Nie, Ke Lang

Journal of System Simulation

Abstract: In order to enhance the realism of garment and human body collision in real-time fabric simulation, an automated human body fitting collision method based on the bounding box and mesh method is proposed. According to the human skeletal structure and garment type, the skeletal information involved in collision simulation is effectively optimized, so as to better obtain the feature points of the human body and semantically segment them. According to the characteristics of skinning animation, simple capsule colliders and mesh colliders are generated to fit the geometric shape of the human body, and the dynamic following of colliders is …

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Method For Extracting Data During Flight Phase Of Ski Jumping Based On Monocular Video, Ziyi Shen, Meng Yang, Chao Yang, Weidi Tang, Xie Wu, Yu Liu, Bin Sheng

Journal of System Simulation

Abstract: To solve the problem of the high difficulty factor of ski jumping and the difficulty of extracting data of this sport due to the danger of invasive devices such as wearable sensors and high price, a method for extracting data during the flight phase of ski jumping based on monocular video is proposed. The distortion and background clutter of the monocular video are preprocessed. The distortion of the captured images is corrected by calibrating camera parameters, and the background is removed by the inter-frame difference method. The human pose recognition library, namely OpenPose is used to initially identify the …

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Fall Detection Method Of Digital Sequence Based On Fusion Strategy, Riming Sun, Hu Guo, Li Zou, Jiaqi Mao, Shengfa Wang

Journal of System Simulation

Abstract: Falls have become the primary cause of disability due to injury for the elderly. Timely and accurate warning of fall events is an important link to rescue work. In order to improve the accuracy of fall detection, a fall detection method based on a fusion strategy is proposed, which considers both the integrity of high-dimensional digital sequences and the specificity of different dimensions. The input digital sequences obtained from the wrist portable sensor are processed by window segmentation according to the saliency of resultant acceleration, so as to ensure the timing of the data and improve the identifiability of …

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Style Transfer Network For Generating Opera Makeup Details, Fengquan Zhang, Duo Cao, Xiaohan Ma, Baijun Chen, Jiangxiao Zhang

Journal of System Simulation

Abstract: To address the problem of the loss of local style details in cross-domain image simulation, a ChinOperaGAN network framework suitable for opera makeup is designed from the perspective of protecting the excellent traditional culture. In order to solve the style translation of differences in two image domains, multiple overlapping local adversarial discriminators are proposed in the generative adversarial network. Since paired opera makeup data are difficult to obtain, a synthetic image is generated by combining the source image makeup mapping to effectively guide the transfer of local makeup details between images. In view of the characteristics of opera makeup …

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University Of Northern Iowa Faculty Senate Meeting Minutes, September 25, 2023, University Of Northern Iowa. Faculty Senate.

Documents - Faculty Senate

Meeting minutes from the Faculty Senate of the University of Northern Iowa.

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The Management Accounting Usage In Automotive Servitized Companies: An Initial Attempt, Unggul Purwohedi, Muhammad Kaleem Zahir-Ul-Hassan, Maqsood Memon

All Works

Purpose : Prior literature suggests a further exploration on the usage of management accounting (MA) techniques in the servitization context. Servitization is a movement in which companies consciously develop service offerings, which support their products to gain competitive advantage. There are still limited studies of this topic in the context of Indonesian manufacturing companies, thus this paper aims to provide evidence on the usage of MA in servitized manufacturing companies in Indonesia. Method : We employed a qualitative approach as well as a preliminary survey to a number of selected managers and accountants from four different automotive companies. Findings : …

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Research Progress Of Intelligent Drilling Equipment And Technology, Zhang Xinxin, Liang Bowen, Zhang Xiaolong, Zhang Shaohe, Jin Xin

Coal Geology & Exploration

For the development and utilization of complex marine and continental oil and gas resources, and some problems of heterogeneity and uncertainty inevitably encountered during the drilling under complex geological conditions, it is urgent to create opportunities for the development of intelligent drilling technology and equipment using the high-end information such as artificial intelligence, big data and machine learning. Herein, the intelligent drilling system and its basic components were described, mainly including the field surface intelligent control platform, the data measurement communication control network system, the downhole intelligent steering drilling system and the remote real-time intelligent control center system. Besides, the …

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Development And Prospect Of Intelligent Control Of Geological Drilling Process, Lu Chengda, Gan Chao, Chen Luefeng, Chen Xin, Cao Weihua, Wu Min

Coal Geology & Exploration

The complex and ever-changing geological environment and harsh conditions pose enormous challenges to the control of geological drilling process. The flourishing development of frontier technologies such as big data and artificial intelligence has brought new opportunities to the development of drilling industry. Firstly, the development status of intelligent control of geological drilling process is elaborated from 3 aspects: Sensing and modelling of drilling process, intelligent optimization of drilling process and drilling process control. In terms of sensing and modelling of drilling process, various geological environment models have been established using multi-source information of drilling process, which enables the sensing of …

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Intelligent Lithology Prediction Method Based On Vibration Signal While Drilling And Deep Learning, Wang Sheng, Lai Kun, Zhang Zheng, Bai Jun, Luo Zhongbin, Li Bingle, Zhang Jie

Coal Geology & Exploration

Intelligent lithology prediction is of great importance in geological drilling, capable of improving exploration and mining efficiency, as well as the quality of results. In this study, a method of intelligent lithology prediction while drilling was proposed based on the vibration signals produced by the drill bit breaking rocks during drilling. Specifically, seven types of rocks with the same size and different lithologies were selected, and a micro-drilling experiment was designed to apply different drilling rates and rotary speeds to the rocks, in order to collect the triaxial vibration signals while drilling under multiple drilling conditions. The signals were preprocessed …

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Research On Coal-Rock Interface Recognition System Based On Drilling Parameters, Wang Jie

Coal Geology & Exploration

In response to the problems of untimely and inaccurate coal-rock interface recognition and lack of appropriate technical means during the construction of cross-seam drilling for gas drainage by bottom drainage roadway, a coal-rock interface recognition system based on drilling parameters (rotational speed, rotary torque, propulsion force, advance velocity, crushing work ratio) was developed. The entire system consists of a data sensing layer, a data acquisition layer and a data analysis layer. Among them, the data sensing layer and the data acquisition layer are also collectively called the drilling data acquisition system, which can collect the drilling parameters in real time. …

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Prediction Of Crack Width Of Drilling Fluid Leakage Based On Neural Network, Wang Jian, Xu Jiafang, Zhao Mifu, Wang Bowen, Wang Yahua, Chen Jie, Wang Xiaohui, Yang Gang, Ma Tengfei

Coal Geology & Exploration

During the drilling, it is difficult to select the appropriate leakage prevention and plugging methods and materials as the development of reservoir fractures is unknown. Herein, a reservoir crack width prediction method based on neural network was proposed with reference to the actual history data of wells. Firstly, the main influencing factors of reservoir fracture width were explored and ranked by correlation analysis, and seven main influencing factors, including pump pressure, drilling fluid displacement and drilling speed, were selected as the input parameters. The rate of convergence of the model was improved using the additional momentum algorithm and the variable …

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Design Of Attitude Monitoring System For Directional Drilling Continuous Coring Tools, Lin Tingting, Liu Zekai, Ma Yinlong, Zhu Jinbao

Coal Geology & Exploration

Directional drilling continuous coring, as an emerging geological exploration technique, holds vast potential in the field of mineral resource exploration. To facilitate the development of directional continuous coring tools with proprietary intellectual property rights, an attitude monitoring system based on attitude sensing and wireless communication technology was designed in this paper. Concerning the hardware system design, the MPU9250 attitude sensor and STM32F103C8T6 main control chip were adopted to monitor the attitude change of drilling tools, where the communication through geological layers was achieved using a LoRa wireless module. Additionally, to accommodate the structural of the drilling tool and the requirements …

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Tracking Control Of Drilling Robot Feed Force Based On An Equivalent-Input-Disturbance, Li Wangnian, Lu Chengda, Zhang Youzhen, Song Haitao, Tian Shengnan, Huang Hengyu, Chen Luefeng, Wu Min

Coal Geology & Exploration

During the underground construction of gas extraction hole in coal mine, the feeding system of drilling robot is used for pressurization, decompression and feeding in drilling process. In view of the problem that the uncertain disturbance of complex strata affects the working performance of drilling robot and the quality and efficiency of drilling construction, the structural composition and drilling construction technology of drilling robot were analyzed at first. The mathematical model of pressure reducing valve control was established according to the working principle of its feed system, and the mapping relationship between the control input, the electromagnet current, and the …

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The Influence Of Marketing Communication Approaches On Student Pilots’ Choices Of Flight Schools, Jingmin Jin

Journal of Aviation/Aerospace Education & Research

As the U.S. domestic commercial aviation activities have been recovering and will continue to recover from the COVID-19 pandemic over the next few years, a trend of the shortage in the regional airline pilot workforce is noted. Therefore, it is crucial to increase the reservoir of pilot candidates to sustain the industry’s pilot occupation rigor. To assist advance flight schools’ recruitment of new pilot candidates, this study examined how various marketing communication approaches influenced student pilots’ selections of flight schools. This study also further investigated how student pilots’ preferences in accessing school information differed in accordance with their different demographic …

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Risk Assessment Matrix Of Operational Safety (Ramos): Aviation Safety With A Matlab® Design Toolkit, Haoruo Fu, Chien-Tsung Lu, Zhenglei Ji

Journal of Aviation/Aerospace Education & Research

Safety is the priority of the aviation industry that requires continuous support and improvement. While the Safety Management Systems (SMS) is mandatory for the Federal Aviation Administration (FAA) Federal Aviation Regulation (FAR) Part 121 air carriers and Part 139 airports in the United States, SMS remains optional to General Aviation (GA) due to various reasons including limited budget and manpower associated with technologies. This paper aims to promote the adoption of MATLAB^® to develop a low-cost Risk Assessment Matrix of Operational Safety (RAMOS) (risk calculation and control) for GA operators. A case is presented to demonstrate the application of …

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Collegiate Aviation Students’ Perceptions Towards The Integration Of Diversity And Inclusion Training: A Qualitative Case Study, Jorge L. D. Albelo, Nicola M. O'Toole, Eugene Kim

Journal of Aviation/Aerospace Education & Research

Multiple industries have become more supportive and engaging places to work by embedding diversity, equity, and inclusion within their institutional processes. Institutions of higher education have seen the educational benefits of integrating diversity and inclusion principles within their program outcomes. Notably, the aviation industry has seen an increase in diversity, equity, and inclusion practices to attract more customers and increase the number of potential applicants. Yet, there is scant literature on how aviation students at collegiate flight institutions perceive the integration of diversity and inclusion training within the airline industry as part of their career development. This study aimed to …

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A Deep Bilstm Machine Learning Method For Flight Delay Prediction Classification, Desmond B. Bisandu, Irene Moulitsas

Journal of Aviation/Aerospace Education & Research

This paper proposes a classification approach for flight delays using Bidirectional Long Short-Term Memory (BiLSTM) and Long Short-Term Memory (LSTM) models. Flight delays are a major issue in the airline industry, causing inconvenience to passengers and financial losses to airlines. The BiLSTM and LSTM models, powerful deep learning techniques, have shown promising results in a classification task. In this study, we collected a dataset from the United States (US) Bureau of Transportation Statistics (BTS) of flight on-time performance information and used it to train and test the BiLSTM and LSTM models. We set three criteria for selecting highly important features …

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Icvd Polymer Thin Film Bio-Interface-Performance For Fibroblasts, Cancer-Cells, And Viruses Connected To Their Functional Groups And In Silico Studies, Torge Hartig, Asmaa T. Mohamed, Nasra F. Abdel Fattah, Aydin Gülses, Tim Tjardts, Esther Afiba Kangah, Kwing Pak Gabriel Chan, Salih Salih Veziroglu, Yahya Acil, Oral Cenk Aktas, Jörg Jörg Wiltfang, Samah A. Loutfy, Thomas Strunskus, Franz Faupel, Amal Amin, Stefan Schröder

Nanotechnology Research Centre

Thin polymer coatings are used to improve the interface between biological species and functional materials. Their interaction is significantly influenced by the functional groups and roughness of the polymer film and prediction of the interaction is thus of great interest. However, for conventional polymer films, this cannot be examined independently because of the interplay of defects, residual solvent molecules, roughness, and functional groups. Solvent-free polymer films prepared by initiated chemical vapor deposition (iCVD) exhibit conformal, defect-free characteristics and enable precise tailoring of the functional groups. This facilitates to isolate the contribution of functional groups on the bio-interface performance. Consequently, in …

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Rgb-D Saliency Object Detection Based On Cross-Refinement And Circular Attention, Qingqing Dong, Hao Wu, Wenhua Qian, Fengling Kong

Journal of System Simulation

Abstract: In order to solve the problems that the boundary of the saliency object detection area is vague, and the detection area is incomplete or inaccurate, an RGB-D saliency object detection method based on cross-refinement and circular attention is proposed. A cross-refinement module is designed at the stage of extracting features using encoders, which is used to supplement feature information of each other and improve the feature quality before fusion. It also suppresses the negative impact of poor-quality depth maps and addresses the issue that the edges of the saliency object are blurred. For the features after fusion, the circular …

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Full-Text Articles in Entire DC Network

Deeper Into The Knight: Exploring Deans Knight And Its Effects On The Canadian Gaar, Jinyan Li, Marshall Rothstein, Steve Suarez, Jeffrey Trossman

Articles & Book Chapters

Cloud-Edge Collaborative Service Architecture For Lvc Training System, Peng Yong, Miao Zhang, Yue Hu

Journal of System Simulation

Research On Support Effectiveness Evaluation Method Of Equipment Systems Based On Pert And Abms, Shanzhi Ma, Hongliang Wang, Hua He, Weicheng Lun

Journal of System Simulation

Simulation Research On Multi-Antenna Coupled Radiation Of Launch Vehicle In Tower, Fen Zhang, Tao Yu, Yong Han, Longwei He

Journal of System Simulation

Survey On Intelligent Wargaming: Tactical & Campaign Wargame And Strategic Game From Game-Theoretic Perspective, Junren Luo, Wanpeng Zhang, Fengtao Xiang, Chaoyuan Jiang, Jing Chen

Journal of System Simulation

Research On Flight Route Planning For Specific Multi-Missions, Lin Zhong, Ming'an Tong, Sheng Li

Journal of System Simulation

Research On Artificial Population Generation And Application Based On Genetic Algorithm, Hongli Zhang, Jingshuang Deng

Journal of System Simulation

Data Generation Model-Based Synthetic Sample Imputation Method, Yulin He, Jiaqi Chen, Hepeng Xu, Zhexue Huang, Jianfei Yin

Journal of System Simulation

Research On Hierarchical Motion Planning Method For Uav Substation Inspection, Songming Jiao, Yunfeng Shou, Jianpeng Bai, Zhu Wang

Journal of System Simulation

Research On Intelligent Statistical Analysis Of Wargaming Data Based On Nl2sql, Laixiang Yin, Zhiqiang Li, Qiongying Fu

Journal of System Simulation

Construction And Application Of Digital Twin System For Optical Fiber Secondary Coating Workshop, Biao Yuan, Yourui Huang, Shanyong Xu, Xue Rong

Journal of System Simulation

3d Garment Collision Simulation Based On Human Skeletal Features, Yuanyuan Chen, Yongjian Huai, Xiaoying Nie, Ke Lang

Journal of System Simulation

Method For Extracting Data During Flight Phase Of Ski Jumping Based On Monocular Video, Ziyi Shen, Meng Yang, Chao Yang, Weidi Tang, Xie Wu, Yu Liu, Bin Sheng

Journal of System Simulation

Fall Detection Method Of Digital Sequence Based On Fusion Strategy, Riming Sun, Hu Guo, Li Zou, Jiaqi Mao, Shengfa Wang

Journal of System Simulation

Style Transfer Network For Generating Opera Makeup Details, Fengquan Zhang, Duo Cao, Xiaohan Ma, Baijun Chen, Jiangxiao Zhang

Journal of System Simulation

University Of Northern Iowa Faculty Senate Meeting Minutes, September 25, 2023, University Of Northern Iowa. Faculty Senate.

Documents - Faculty Senate

The Management Accounting Usage In Automotive Servitized Companies: An Initial Attempt, Unggul Purwohedi, Muhammad Kaleem Zahir-Ul-Hassan, Maqsood Memon

All Works

Research Progress Of Intelligent Drilling Equipment And Technology, Zhang Xinxin, Liang Bowen, Zhang Xiaolong, Zhang Shaohe, Jin Xin

Coal Geology & Exploration

Development And Prospect Of Intelligent Control Of Geological Drilling Process, Lu Chengda, Gan Chao, Chen Luefeng, Chen Xin, Cao Weihua, Wu Min

Coal Geology & Exploration

Intelligent Lithology Prediction Method Based On Vibration Signal While Drilling And Deep Learning, Wang Sheng, Lai Kun, Zhang Zheng, Bai Jun, Luo Zhongbin, Li Bingle, Zhang Jie

Coal Geology & Exploration

Research On Coal-Rock Interface Recognition System Based On Drilling Parameters, Wang Jie

Coal Geology & Exploration

Prediction Of Crack Width Of Drilling Fluid Leakage Based On Neural Network, Wang Jian, Xu Jiafang, Zhao Mifu, Wang Bowen, Wang Yahua, Chen Jie, Wang Xiaohui, Yang Gang, Ma Tengfei

Coal Geology & Exploration

Design Of Attitude Monitoring System For Directional Drilling Continuous Coring Tools, Lin Tingting, Liu Zekai, Ma Yinlong, Zhu Jinbao

Coal Geology & Exploration

Tracking Control Of Drilling Robot Feed Force Based On An Equivalent-Input-Disturbance, Li Wangnian, Lu Chengda, Zhang Youzhen, Song Haitao, Tian Shengnan, Huang Hengyu, Chen Luefeng, Wu Min

Coal Geology & Exploration

The Influence Of Marketing Communication Approaches On Student Pilots’ Choices Of Flight Schools, Jingmin Jin

Journal of Aviation/Aerospace Education & Research

Risk Assessment Matrix Of Operational Safety (Ramos): Aviation Safety With A Matlab® Design Toolkit, Haoruo Fu, Chien-Tsung Lu, Zhenglei Ji

Journal of Aviation/Aerospace Education & Research

Collegiate Aviation Students’ Perceptions Towards The Integration Of Diversity And Inclusion Training: A Qualitative Case Study, Jorge L. D. Albelo, Nicola M. O'Toole, Eugene Kim

Journal of Aviation/Aerospace Education & Research

A Deep Bilstm Machine Learning Method For Flight Delay Prediction Classification, Desmond B. Bisandu, Irene Moulitsas

Journal of Aviation/Aerospace Education & Research

Nanotechnology Research Centre

Rgb-D Saliency Object Detection Based On Cross-Refinement And Circular Attention, Qingqing Dong, Hao Wu, Wenhua Qian, Fengling Kong

Journal of System Simulation