Towards Ensuring Integrity And Authenticity Of Software Repositories,
2022
New Jersey Institute of Technology
Towards Ensuring Integrity And Authenticity Of Software Repositories, Sangat Vaidya
Dissertations
The software development process comprises a series of steps known as a software supply chain. These steps include managing the source code, testing, building and packaging it into a final product, and distributing the product to end users. Along this chain, software repositories are used for different purposes such as source code management (Git, SVN, mercurial), software distribution (PyPI, RubyGems, NPM) or for deploying software based on container images (Harbor, DockerHub, Artifact Hub). In the recent past, different types of repositories have increasingly been the target of attacks. As such, there is a need for mechanisms to ensure integrity and …
Reality Analagous Synthetic Dataset Generation With Daylight Variance For Deep Learning Classification,
2022
TU Dublin
Reality Analagous Synthetic Dataset Generation With Daylight Variance For Deep Learning Classification, Thomas Lee, Susan Mckeever, Jane Courtney
Conference papers
For the implementation of Autonomously navigating Unmanned Air Vehicles (UAV) in the real world, it must be shown that safe navigation is possible in all real world scenarios. In the case of UAVs powered by Deep Learning algorithms, this is a difficult task to achieve, as the weak point of any trained network is the reduction in predictive capacity when presented with unfamiliar input data. It is possible to train for more use cases, however more data is required for this, requiring time and manpower to acquire. In this work, a potential solution to the manpower issues of exponentially scaling …
Evaluation Of Material Request Order To Support Sustainable Construction,
2022
Civil Engineering, Universitas Tidar, Magelang 56116, Indonesia
Evaluation Of Material Request Order To Support Sustainable Construction, Fajar Susilowati, Nur Nahdiah Anggraeni
Makara Journal of Technology
This study was conducted on one of Indonesia’s apartment projects, in which reinforced concrete is the main structure. Based on existing project data, this project experienced a decline in the construction work’s progress, thus reducing the project’s overall progress. This decline occurred because the delivery of concrete reinforcement material was delayed. This study aimed to determine the process of material request order and its relationship with the work implementation, as well as the factors that influenced the delayed arrival of concrete reinforcement material at the project site. The method used in this study was observation and interview. Data were analyzed …
Hey Google: Does Environmental Beliefs And Perceived Privacy Risk Influence Potential User’S Intention To Use A Smart Home System In Indonesia?,
2022
Universitas Indonesia
Hey Google: Does Environmental Beliefs And Perceived Privacy Risk Influence Potential User’S Intention To Use A Smart Home System In Indonesia?, Adrian Adhe Elian, Imam Salehudin
Smart City
Automation technology has grown in a rapid pace recently. One of the technology that is growing rapidly right now is the Internet of Things or IoT. IoT consist of many devices, and one of the IoT device that are popular right now is called the smart home device. This smart home device can be use to make the house of the user be smart and can be use to save energy for efficiency for the daily life of the user, such as electricity and water that kan provide a negative impact on the environment if used extensively. This smart home …
Towards Public Vaccination Data Resilience During Natural Disaster Using Blockchain-Based Decentralized Application,
2022
University of Indonesia
Towards Public Vaccination Data Resilience During Natural Disaster Using Blockchain-Based Decentralized Application, Riri Fitri Sari, Mokhammad Rizqi Herdiawan, Muhammad Hamzah, Muhammad Aljundi, Jauzak Hussaini Windiatmaja
Smart City
This paper presents a platform development plan for a public vaccination decentralized data base based on Blockchain technology. Vaccination is a medical practice that allows a human body to produce a specific antibody as a means of developing a preventive measure and reducing the risk of contracting a particular disease. Systematic vaccination data recording is an utmost important system that is required particularly during the Covid-19 pandemic. The recording mechanism should utilize the state-of-the-art information and communication technology (ICT). For faster vaccination data recording, it is common to use digital technology, making the health care process faster thus decreasing time …
Research On The Development Of Port Digitalization And Swot Analysis For Digital Ports,
2022
World Maritime University
Research On The Development Of Port Digitalization And Swot Analysis For Digital Ports, Ling Dong
World Maritime University Dissertations
No abstract provided.
Using Design Science Research To Create A Virtual Environment For Nursing Students,
2022
University of the Free State
Using Design Science Research To Create A Virtual Environment For Nursing Students, Benjamin Botha, Lizette De Wet
African Conference on Information Systems and Technology
This paper aims to provide insight into the design science research approach followed during a transdisciplinary research study between computer scientists and professional nurses. The researchers used a design science research approach to create a virtual environment where nursing students could practice managing a patient with a foreign object in the right lung. The virtual environment underwent multiple changes as it progressed through the different cycles of design science research. Within these cycles, namely the relevance, design, and rigor cycle, various iterations of each of the cycles took place. Presented in this paper the design science approach followed will be …
Autonomous Unmanned Aerial Vehicle Navigation Using Reinforcement Learning: A Systematic Review,
2022
Western University
Autonomous Unmanned Aerial Vehicle Navigation Using Reinforcement Learning: A Systematic Review, Fadi Almahamid, Katarina Grolinger
Electrical and Computer Engineering Publications
There is an increasing demand for using Unmanned Aerial Vehicle (UAV), known as drones, in different applications such as packages delivery, traffic monitoring, search and rescue operations, and military combat engagements. In all of these applications, the UAV is used to navigate the environment autonomously --- without human interaction, perform specific tasks and avoid obstacles. Autonomous UAV navigation is commonly accomplished using Reinforcement Learning (RL), where agents act as experts in a domain to navigate the environment while avoiding obstacles. Understanding the navigation environment and algorithmic limitations plays an essential role in choosing the appropriate RL algorithm to solve the …
Nonlinear Strong Coupling By Second-Harmonic Generation Enhancement In Plasmonic Nanopatch Antennas,
2022
University of Memphis
Nonlinear Strong Coupling By Second-Harmonic Generation Enhancement In Plasmonic Nanopatch Antennas, Bryson Krause, Dhananjay Mishra, Jiyang Chen, Christos Argyropoulos, Thang Hoang
Department of Electrical and Computer Engineering: Faculty Publications
Enhanced electromagnetic fields within plasmonic nanocavity mode volumes enable multiple significant effects that lead to applications in both the linear and nonlinear optical regimes. In this work, we demonstrate enhanced second harmonic generation from individual plasmonic nanopatch antennas which are formed by separating silver nanocubes from a smooth gold film using a sub-10 nm zinc oxide spacer layer. When the nanopatch antennas are excited at their fundamental plasmon frequency, a 104-fold increase in the intensity of the second harmonic generation wave is observed. Moreover, by integrating quantum emitters that have an absorption energy at the fundamental frequency, a …
Myosin Ii Adjusts Motility Properties And Regulates Force Production Based On Motor Environment,
2022
University of Mississippi
Myosin Ii Adjusts Motility Properties And Regulates Force Production Based On Motor Environment, Omayma Y. Al Azzam, Janie C. Watts, Justin E. Reynolds, Juliana E. Davis, Dana N. Reinemann
Faculty and Student Publications
Introduction—Myosin II has been investigated with optical trapping, but single motor-filament assay arrangements are not reflective of the complex cellular environment. To understand how myosin interactions propagate up in scale to accomplish system force generation, we devised a novel actomyosin ensemble optical trapping assay that reflects the hierarchy and compliancy of a physiological environment and is modular for interrogating force effectors.
Methods—Hierarchical actomyosin bundles were formed in vitro. Fluorescent template and cargo actin filaments (AF) were assembled in a flow cell and bundled by myosin. Beads were added in the presence of ATP to bind the cargo AF …
Image Dehazing Network Based On Densely Connected Residual Block And Channel Pixel Attention,
2022
1.School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China;2.China-ASEAN International Joint Laboratory of Integrated Transport, Nanning University, Nanning 530200, China;
Image Dehazing Network Based On Densely Connected Residual Block And Channel Pixel Attention, Weidong Jin, Shuli Zhang, Peng Tang, Man Zhang
Journal of System Simulation
Abstract: Abstruct: A lot of research achievements have been made in image dehazing based on neural network,but there aiming at the fog residue, even the color distortion and texture loss, in complex outdoor image dehazing, an image dehazing network based on densely connected residual block and channel pixel attention is proposed. Densely connected residual blocks are used to extract and fuse the features of foggy images,and the repair module with channel pixel attention mechanism is used to repair the color and texture of the feature maps. The experimental results show that, compared with the existing methods, the proposed method and …
Research On Motion Recognition And Tracking For Space Survey And Launch Tasks,
2022
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China;
Research On Motion Recognition And Tracking For Space Survey And Launch Tasks, Bin Ren, Xiaoyu Wang
Journal of System Simulation
Abstract: Space survey and launch task has high precision and long cycle, and needs to be exposed to direct sunlight for a long time, so that the non-contact action calibration and comparison in a virtual working environment is an efficient way to improve the mission completion success rate. Aiming at the real-time motion tracking of aerospace personnel, a keyframe optimization algorithm for the action recognition is proposed. According to the bone data in the depth image, the bone features are extracted, and the keyframes are extracted by the feature threshold. The characteristic data of the keyframe is input into bi-directional …
Sensorless Control Of Pmsm Based On An Anfis Optimized Flux Sliding Mode Observer,
2022
1.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
Sensorless Control Of Pmsm Based On An Anfis Optimized Flux Sliding Mode Observer, Huilin Zhang, Yujie Jin, Haima Yang
Journal of System Simulation
Abstract: Aiming at the low estimation accuracy of rotor speed and position and the system chattering in sensorless control of permanent magnet synchronous motor (PMSM), an adaptive neuro-fuzzy inference system (ANFIS) is proposed to optimize the flux sliding mode observer(FSMO). Compared with the traditional sliding mode observer, the FSMO improves the estimation accuracy of the rotor flux. The FSMO optimized by ANFIS realizes the on-line adjustment of the observer gain and reduces the system chattering. The improved PLL improves the estimation accuracy of the rotor speed and position. A simulation platform is established to verify the results which show …
Simulation Of Unmanned Tank Clusters Cooperative Combat Based On Military Rules,
2022
1.Software College, Liaoning Technical University, Huludao 125105, China;
Simulation Of Unmanned Tank Clusters Cooperative Combat Based On Military Rules, Chunyan Wang, Hao Ren, Minchi Kuang, Danfeng Wu, Xiangshu Cao, Heng Shi
Journal of System Simulation
Abstract: Modern warfare is developing towards the unmanned, informatized, and intelligent form. Being the important combat equipment in the future land warfare, unmanned tanks have greater advantages of mobility, safety, and economy. Single unmanned tank can not fulfill the complex tasks of large-scale battles as the cooperation of unmanned tank clusters can do. Focuses on the collaborative applications of unmanned tank clusters, the single unmanned tank system model is established, including dynamic control, decision-making, and weapon armor. A collaborative perception model of unmanned tank clusters is designed considering the unmanned tank's own state and the fusion situation. Based on the …
Modeling Of Traffic Flow Velocity Control Strategy For Human-Machine Mixed Driving At Signalized Intersections,
2022
1.School of Traffic, Chongqing Jiaotong University, Chongqing 400074, China;2.Chongqing Key Laboratory of Transportation System and Safety in Mountainous City, Chongqing Jiaotong University, Chongqing 400074, China;
Modeling Of Traffic Flow Velocity Control Strategy For Human-Machine Mixed Driving At Signalized Intersections, Jianxu Zhang, Shuai Hu, Hongyi Jin
Journal of System Simulation
Abstract: In order to analyze the influence of speed control strategy of autonomous vehicle on the operation characteristics of traffic flow, a deterministic decision-making model for intersections with artificially driven vehicles considering the driver's influence on the acquisition of driving information is constructed. An automatic driving speed control strategy considering the influence of the speed of preceding vehicle is proposed, and the continuous Cellular Automata update rules for signalized intersections are constructed respectively. By introducing the different penetration rates of automatic driving, road saturation and control area length parameters, the influence of CAV speed control strategy on the traffic …
Research On Passenger Ship Evacuation Simulation Based On Social Force Model,
2022
1.College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China;2.College of Civil Engineering, Hefei University of Technology, Hefei 230009, China;3.Department of Engineering Physics, Tsinghua University, Beijing 100084, China;
Research On Passenger Ship Evacuation Simulation Based On Social Force Model, Qimiao Xie, Shuaishuai Guo
Journal of System Simulation
Abstract: Aiming at the influence of group behavior and different evacuation methods on the passenger ship evacuation process. Three evacuation methods of passengers arriving at the assembly stations with and without group behavior are provided, and the passenger assembly time, congestion area, congestion timing and duration are analyzed. The simulation results show that the group behavior has a significant effect on the passenger assembly time and increases the variation range of the passenger assembly time, and the congestion area with and without group behavior remains the same. The influences of group behavior on the congestion timing and duration are complicated, …
Layout Planning Of Metro-Based Underground Logistics System Network Considering Fuzzy Uncertainties,
2022
1.Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China;
Layout Planning Of Metro-Based Underground Logistics System Network Considering Fuzzy Uncertainties, Wanjie Hu, Jianjun Dong, Rui Ren, Zhilong Chen
Journal of System Simulation
Abstract: Aming at the network design and optimization of metro-based urban underground logistics under uncertainties, the facility components of two-tier metro-based underground logistics system (M-ULS) are proposed. Focus on the comprehensive costs and system utilization rate, a M-ULS network flow assignment model is established based on the expectation of environmental benefits of underground freight transport. a M-ULS network location-allocation-routing fuzzy random programming model is established, and a crisp linearization method is presented. A solution portfolio combining discrete binary chaos particle swarm optimization-genetic algorithm and exact algorithms is designed for combinatorial optimization. Effectiveness of the presented models and algorithms is verified …
Variable Pitch Control Of Wind Power Generation System Based On Wiener Model,
2022
1.College of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China;
Variable Pitch Control Of Wind Power Generation System Based On Wiener Model, Yue Xu, Li Jia, Xuanyi Fu
Journal of System Simulation
Abstract: Strong nonlinearity and large fluctuation are the characteristics of wind power generation system. Quickly controlling the output power of wind turbines within the rated range under wind speed random changes is the major problem of wind power system control. Aiming at the pitch control of 5 MW wind turbines, a pitch control scheme for wind power generation systems based on the Wiener model is proposed. On the basis of the special structure in which the linear and nonlinear links of the Wiener model can be separated, the controlled object of a generalized wind power system with linear properties …
Parallel Live Performance Simulation Based On A Multidimensional Hierarchy And Application,
2022
School of Computer Science & Technology, Beijing Institute of Technology, Beijing 100081, China;
Parallel Live Performance Simulation Based On A Multidimensional Hierarchy And Application, Jingsi Yang, Tianyu Huang, Gangyi Ding, Lijie Li, Peng Li
Journal of System Simulation
Abstract: A parallel simulation method is proposed for modern live performance. By decomposing the live performance process from the top down, this method assists creators in delivering stage design and control with time and space constraints, which is unattainable for traditional live performances. A multi-layer constraint hierarchy is constructed to apply parallel simulation to art performances. The live performance procedure is continuously optimized by leveraging the circulation of data between virtual and physical stages. The parallel simulation method for stage space has been applied to a digital TV stage for ten years. The experiments show that parallel live performance simulation …
Dynamic Obstacle Avoidance Control Of Three-Order Multi-Robot Cooperative Formation,
2022
School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China;
Dynamic Obstacle Avoidance Control Of Three-Order Multi-Robot Cooperative Formation, Yuchao Zhang, Yuan Jiang, Jiyang Dai
Journal of System Simulation
Abstract: Aiming at the obstacle avoidance and consensus control of underwater vehicles formation in a 3D complex environment, a cooperative formation dynamic obstacle avoidance control algorithm is proposed. An adaptive repulsion gain term based on the speed of dynamic obstacles is established and it is introduced into the repulsion potential field function to enable the robot to safely avoid static and dynamic obstacles. The potential field function based on the gain term of the potential field and the communication weight between the AUVs are defined to solve the robots of easy self collision and leaving the formation. The total acceleration …
