Digital Commons Network^™

Data Simulation Testing Framework For Complex Process Equipment Software, Jinkun Zhang, Longfei Shi, Chi Hu, Hao Zhang, Yonghui Yang

Journal of System Simulation

Abstract: Due to the complex task, tight coupling, strict timing, and a large amount of interchange data, the technical threshold of automated testing of bus communication equipment software is high, and the implementation is difficult. The ideas of data-driven testing and keyword-driven testing are introduced, and a data simulation testing framework is proposed. Configuration rules are formulated and implemented in the framework. Testers can simulate peripheral data for complex process equipment software and implement automated testing by only focusing on the task analysis, and configuring interchange data and keywords. There is no need to develop test scripts, which reduces the …

Urban Uav Path Planning Based On Improved Beetle Search Algorithm, Qingqing Yang, Minyi Deng, Yi Peng

Journal of System Simulation

Abstract: An improved SABAS is proposed to improve the safety and path smoothing of UAV missions in urban multi-obstacle environments and to obtain the shortest path. The algorithm no longer completely depends on the difference of odor concentration between the left and the right tentacles of beetle when exploring the path for position update. Instead, it makes full use of the strong searching ability of BAS algorithm, and introduces the annealing algorithm to add the neighborhood position solution of the next position, and finally selects the next best position from the neighborhood position solution. Metropolis criterion of annealing algorithm is …

Reliable Emergency Rescue Model Of Uavs Based On Blockchain, Mengyao Du, Kai Xu, Miao Zhang, Xiang Fu, Quanjun Yin

Journal of System Simulation

Abstract: Natural disasters may unpredictably disrupt ground communication infrastructure and transportation systems, and UAVs emergency response can deal with such uncertainties and highly dynamic scenarios. Aiming at the robustness requirements of decentralized rescue systems. UAV emergency rescue chain (UERChain) based on blockchain technology is proposed. By deploying UAV backbone nodes within a layered local network, the smart contracts for managing reputation considering UAV social relationships are designed. The blockchain is employed as a trust mechanism to realize the trustworthy interactions among distributed UAVs. Experimental results show that, UERChain has higher robustness, and within controllable resource constraints, the reputation management and …

Unrelated Parallel Machine Scheduling With Additional Resource And Learning Effect, Youlian Zheng, Deming Lei

Journal of System Simulation

Abstract: To solve unrelated parallel machine scheduling problem(UPMSP) with additional resource and learning effect, a dynamical artificial bee colony(DABC) algorithm is proposed to minimize the makespan. A new representation and decoding process is given and two initial bee swarms are constructed. A swarm evaluation method is applied to dynamically decide employed bee swarms and onlooker bee swarms. Employed bee phase and onlooker bee phase are implemented in different ways to increase exploration ability. The experimental results show that the new strategies of DABC are effective and reasonable, and can obtain results with better convergence, average value and stability, which d …

Research On Network Public Opinion Propagation Model Of Major Epidemics Under Cross-Infection Of Double Emotions, Yaming Zhang, Yanyuan Su, Guiru Zhao, Xiaoyu Guo

Journal of System Simulation

Abstract: Major epidemics provoke a variety of netizens' emotions. To some degree, the interaction of netizens' intense emotions determine the development direction of public opinion. Considering the complexity and dual emotional contagion, the impact of emotional factors in network public opinion is quantified to three dimensions indicators, emotional enhancement, differences and conversion rates. SIPINR public opinion propagation model is constructed. The equilibrium points and the transmission threshold are estimated and the stability is proved. The law of network public opinion propagation during major epidemics is revealed through numerical simulation. The results show that the dual emotional contagion would lead to …

Automatic Target Recognition Of Substation 3d Scene For Digital Twin, Qian Tu, Jun Li, Dongliang Fan, Qi Kong, Jie Shen

Journal of System Simulation

Abstract: In order to improve the accuracy of automatic target recognition and promote the effect on substation operation and maintenance, automatic target recognition of substation 3D scene for digital twin is proposed. The automatic target recognition model for the three dimensional scene of the substation is constructed. The perception module of the model is used to collect the real-time status data of substation, and the communication module is used to transmit the data to digital twin modules. This module, based on the received data information, realizes the deep fusion and panoramic mapping of substation information through the knowledge base constructed …

Research On Digital Twin Data Modeling And Evaluation Method Of Automated Container Terminal, Guoxuan Xu, Daofang Chang, Jiaqi Li, Qiang Ling

Journal of System Simulation

Abstract: To make full use of the massive operation data of automated container terminals and further realize the digital and intelligent transformation of terminals driven by digital twin, a method for digital twin data modeling and effect verification and evaluation of automated container terminals is proposed. The application framework and operation mechanism based on digital twin are studied. Based on the data processing logic of digital twin framework, a method of terminal operation process evolution and dynamic data modeling based on digital twin is proposed. To verify whether the data could meet the effective operation of the digital twin, a …

Modeling And Simulation On Production Logistics Of Intelligent Workshop Manufacturing System Based On Efsm, Liuzhen Li, Chao Jin, Tingyu Lin, Yaoqin Zhu

Journal of System Simulation

Abstract: The production logistics mode of manufacturing industry is developing rapidly, on which the modeling and simulation can provide the decision support for the design, analysis and transformation of manufacturing system. A description of the entity elements in intelligent workshop manufacturing system is given according to the classification of "human machine material environment rule". A production and logistics componentized EFSM model is created on the basis of EFSM and componentized modeling ideas. The modeling process for multi-job production in smart shop and the component model instantiation methodology are elaborated. The simulation running through the automatic conversion of EFSM-DEVS model and …

Research And Development Of Simulation Training Platform For Multi-Agent Collaborative Decision-Making, Cheng Cheng, Zhijie Chen, Ziming Guo, Ni Li

Journal of System Simulation

Abstract: Reinforcement learning simulation platform can be an interactive and training environment for reinforcement learning. In order to make the simulation platform compatible with the multi-agent reinforcement learning algorithms and meet the needs of simulation in military field, the similar processes in multi-agent reinforcement learning algorithms are refined and a unified interface is designed to embed and verify different types of deep reinforcement learning algorithms on the simulation platform and to optimize the back-end service of the simulation platform to accelerate the training process of the algorithm model. The experimental results show that, by unifing the interface, the simulation platform …

Research On 3d Object Detection Method With Cross-Module Attention, Renjie Xu, Xiaoming Zhang, Chen Wang, Peng Wu

Journal of System Simulation

Abstract: To address the issue of feature loss that occurs during the extraction and transmission of target features in 3D object detection tasks using point cloud data, this study proposes an object detection method based on cross-module attention. This method incorporates a channel attention module and a spatial attention module to enhance the crucial feature information. Through feature transformation, the features from different stages of the attention module are connected to mitigate the loss of features during the extraction and transmission process. To tackle the problem of inadequate detection performance in target detection networks for objects of different scales, a …

Optimized Scheduling Of Distribution Network With Distributed Generation Based On Coronavirus Herd Immunity Optimizer Algorithm, Xiaomeng Wu, Rongze Yuan, Yingliang Li, Qi Zhu

Journal of System Simulation

Abstract: Following the large-scale entry of distributed new energy into the network, the uncertainty factor of the distribution network increases significantly, and the difficulty of reactive power optimization scheduling increases accordingly. Traditional optimization solutions have many limitations and shortcomings, and a dynamic reactive power optimization scheme for active distribution networks based on a multi-scenario approach is proposed. The mathematical modeling is carried out separately for the uncertainty of new energy and load, and the multi-scenario method is used to transform the uncertainty problem into a deterministic problem. A mathematical model is constructed on the distribution network side to pursue the …

Hydroclimatic Assessment Of The Wadi Nabaa Basin Using The (Cn-Scs) Method, Jasim Wihoah Shati Aljayshi

Uruk Journal of Human Sciences

The research dealt with the Hydroclimatic assessment of the Wadi Nabaa Basin, in the desert of Muthanna Governorate, based on the American Soil Conservation-Curve Scheduling Model (SCS-CN) and indicative of soil and land cover classification for the purpose of quantitative assessment of surface runoff by analyzing satellite and climatic data and the digital elevation model and using the (GIS) program. For the purpose of extracting the required data, performing calculations, extracting some of the hydrological characteristics of the basin, and showing the results in the form of objective tables and maps.

Blood Engulfs The Green Earth”: An Ecocritical Reading Of Rasha Fadhlil’S Ishtar In Baghdad And Amy Merrill’S In The Reeds, Maysoon Taher Muhi

Uruk Journal of Human Sciences

In recent times, ecological studies have increasingly been employed to promote environmental awareness across various disciplines and regions worldwide. This paper specifically focuses on the repercussions of war and political violence on Iraq's ecology, which has been greatly impacted by conflict. Two noteworthy plays, Ishtar in Baghdad by Iraqi writer Rasha Fadhlil and In the Reeds by American writer Amy Merrill, shed light on this topic. Both plays, which primarily center on Iraq, underscore that those who fail to appreciate and value human life cannot possibly regard nonhuman entities with reverence. Fadhlil effectively employs elements from Mesopotamian mythology to draw …

The Power Of Eponyms: Exploring Cultural And Social Factors In Their Adoption And Popularization, Sawsan A. Qasim

Uruk Journal of Human Sciences

The aim of this article is to investigate eponyms, which are not just linguistic phenomena but also cultural since they demonstrate one's influence on society and history. Words formed from a person's name, such as "volt" from Alessandro Volta and "sandwich" from John Montagu, 4th Earl of Sandwich, are examples of eponyms. Eponyms can be used to honor prominent persons, such as scientists, innovators, or well-known figures. They also demonstrate how society prioritizes specific accomplishments or attributes, as in the situations of “Fahrenheit” and “Celsius,” which are named after two pioneering scientists in the field of temperature measurement. Eponyms may …

Research And Design Of Etc Simulation Platform For Expressway, Fumin Zou, Feng Guo, Sijie Luo, Lüchao Liao, Nan Li, Yue Xing

Journal of System Simulation

Abstract: It is difficult to quantitatively calculate and display the real-time traffic situation of expressway ETC system, and there is no simulation system for ETC to optimize the operating situation. A simulation system based on ETC data in proposed, in witch there are three key algorithms. ETC data feature extraction algorithm provides the feature of generating simulation data for the simulation platform. The improved multitask scheduling algorithm has the computing ability of multitasks in simulation environment. The algorithm of expressway traffic flow control strategy provides the decision index for traffic flow control on the way. The experimental results show that …

Red Cabbage Juice-Mediated Gut Microbiota Modulation Improves Intestinal Epithelial Homeostasis And Ameliorates Colitis, Emily Jean Wilson, Nagabhishek Sirpu Natesh, Parsa Ghadermazi, Ramesh Pothuraju, Dipakkumar R. Prajapati, Sanjit Pandey, Jussuf T. Kaifi, John R. Dodam, Jeffrey Bryan, Christian L. Lorson, Aude A. Watrelot, Jason M. Foster, Thomas J. Mansell, Siu Hung Joshua Chan, Surinder K. Batra, Jeyamkondan Subbiah, Satyanarayana Rachagani

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Gut microbiota plays a crucial role in inflammatory bowel diseases (IBD) and can potentially prevent IBD through microbial-derived metabolites, making it a promising therapeutic avenue. Recent evidence suggests that despite an unclear underlying mechanism, red cabbage juice (RCJ) alleviates Dextran Sodium Sulfate (DSS)-induced colitis in mice. Thus, the study aims to unravel the molecular mechanism by which RCJ modulates the gut microbiota to alleviate DSS-induced colitis in mice. Using C57BL/6J mice, we evaluated RCJ’s protective role in DSS-induced colitis through two cycles of 3% DSS. Mice were daily gavaged with PBS or RCJ until the endpoint, and gut microbiota composition …

Two-Pore Channel-2 And Inositol Trisphosphate Receptors Coordinate Ca2+ Signals Between Lysosomes And The Endoplasmic Reticulum, Yu Yuan, Vikas Arige, Ryo Saito, Qianru Mu, Gabriela C. Brailoiu, Gustavo J.S. Pereira, Stephen R. Bolsover, Marco Keller, Franz Bracher, Christian Grimm, Eugen Brailoiu, Jonathan S. Marchant, David I. Yule, Sandip Patel

College of Pharmacy Faculty Papers

Lysosomes and the endoplasmic reticulum (ER) are Ca2+ stores mobilized by the second messengers NAADP and IP3, respectively. Here, we establish Ca2+ signals between the two sources as fundamental building blocks that couple local release to global changes in Ca2+. Cell-wide Ca2+ signals evoked by activation of endogenous NAADP-sensitive channels on lysosomes comprise both local and global components and exhibit a major dependence on ER Ca2+ despite their lysosomal origin. Knockout of ER IP3 receptor channels delays these signals, whereas expression of lysosomal TPC2 channels accelerates them. High-resolution Ca2+ imaging reveals elementary events upon TPC2 opening and signals coupled to …

West Tennessee River Basin Authority (Wtrba) 2023 Annual Report, Samuel D. Smith

WTRBA Annual Report

No abstract provided.

Task Scheduling For Internet Of Vehicles Based On Deep Reinforcement Learning In Edge Computing, Xiang Ju, Shengchao Su, Chaojie Xu, Beibei He

Journal of System Simulation

Abstract: Aiming at the offloading and execution of delay-constrained computing tasks for internet of vehicles in edge computing, a task scheduling method based on deep reinforcement learning is proposed. In multi-edge server scenario, a software-defined network-aided internet of vehicles task offloading system is built. On this basis, the task scheduling model of vehicle computation offloading is given. According to the characteristics of task scheduling, a scheduling method based on an improved pointer network is designed. Considering the complexity of task scheduling and computing resource allocation, the deep reinforcement learning algorithm is used to train the pointer network. The vehicle offloading …

Airport Operational Efficiency Evaluation Based On Combined Weighting-Topsis Model, Jie Hu, Fan Bao

Journal of System Simulation

Abstract: In order to improve the scientificity and comprehensiveness of the airport operational efficiency evaluation, a new method based on the combined weighting-TOPSIS model is proposed. From 4 dimensions of stand operational efficiency, passenger boarding efficiency, aircraft taxiing efficiency, and coordination efficiency, a new airport operational efficiency evaluation system consisting of 11 indicators, such as flight approach rate, corridor bridge turnover rate, stand change ratio, etc., are constructed. G1 method and entropy weight method are implemented respectively to calculate the subjective and objective weights of the evaluation indicators, and the combined weights are calculated by minimizing the deviation of subjective …

Simulation On High-Speed Train Carriage Evacuation Considering Passengers Moving To Adjacent Carriages, Zuoan Hu, Tian Zeng, Yidong Wei, Yi Ma

Journal of System Simulation

Abstract: To study the influence of passengers moving to adjacent carriages on high-speed train carriages' evacuation, a cellular automata model considering export selection is established. Taking the CR400BF second-class carriage as the research object, some analytical indexes such as evacuation efficiency, number of conflicts and the congestion degree are used to study the effect of passengers moving to adjacent carriages on carriage evacuation, and the passenger seat distribution, the number of passengers transferred from adjacent carriages and the opening door modes of adjacent carriages are discussed. The simulation results show that the discretized seat distribution reduces the times of conflicts …

Application Of Improved Path Tracking Algorithm In Robot Slam, Qian Li, Ye Tao, Hui Li

Journal of System Simulation

Abstract: Mapping is an important part of automated logistics. At present, SLAM is widely used. However, in large-scale scenes, errors are accumulated because robots often repeatedly measure and scan the region edge, which makes it impossible to quickly build a high-precision and complete map. An autonomous mapping method based on auxiliary path tracking is proposed, in which the given initial sketch is grid denoised and the auxiliary path is fitted and improved by multi segment cubic polynomial. The improved pure pursuit algorithm is used to guide the robot to build the map and improve the total distance and time of …

Modeling Of Amine-Based Co2 Capture Process, Zafar Safarovich Turakulov

Chemical Technology, Control and Management

A significant factor influencing climate change is the release of carbon dioxide (CO₂) into the atmosphere as a consequence of human activities such as the combustion of fossil fuels. Climate change can be slowed down by taking action to mitigate industrial-scale CO₂ emissions. Currently, the most advanced technology for capturing CO₂ from industrial flue gases is the post-combustion CO₂ capture based on amine absorption. However, due to the high energy penalties of existing CO₂ capture technologies and insufficient carbon markets, it is necessary to develop methods that compete with these technologies or minimize their …

The Use Of Ultraviolet Radiation As A Means Of Destroying Microorganisms In Cherries, Jasur Safarov, Shaxnoza Sultanova, Pulatov M. Murodjon

Chemical Technology, Control and Management

The article discusses methods for extending the shelf life of cherries, having previously treated it with an ultraviolet ray. The article also presents the results obtained, which prove that the shelf life of cherries exposed to ultraviolet increases. At the same time, the article describes in detail the processing technique and presents the results of research.

Smart System For Wheat Diseases Early Detection, Rustam Baratov, Himola Sunnatillayeva, Almardon Mamatovich Mustafoqulov

Chemical Technology, Control and Management

This paper presents a smart system for early detection of wheat plant diseases in the vegetation period. The proposed smart system allows detecting three types of wheat diseases, particularly yellow rust, powdery mildew and septoria at early stage and significantly improves the soil and ecology by locally spraying harmful chemicals just to sickness plants. The proposed diagnostic program is created in the C++ programming language. The basic structure of the smart system consists of Raspberry PI 4 MODULE, Logitech HD Pro Webcam C920, buzzer, HC-SR04 distance sensor, DC motor driver, AC motor, power supply, relay and some digital devices.

System For Advanced Control Of Thermal Parameters Of Glass Furnaces, O'Tkir Xolmanov

Chemical Technology, Control and Management

The results of an analysis of the functioning of glass furnaces for melting semi-white or discolored glass as an object of automatic control and management are presented. Through experimental research, a parametric control scheme for a glass melting furnace was formed and a system for improved control of thermal glass melting processes was synthesized. The proposed system regulates the parameters of a furnace with a horseshoe-shaped flame development. Based on commercially produced instruments and automation equipment that ensure stabilization of thermal conditions of glass melting. The burner block control algorithm provides control over the performance of the gas burner, safety …

Intelligent Decision Support System, Khurshid Salim Ugli Turayev

Chemical Technology, Control and Management

The article studies issues related to the development of intelligent systems located in an environment capable of perceiving this environment and acting autonomously to achieve assigned tasks. To create an intelligent process control system, it is necessary to monitor the mode to ensure high quality of finished products with minimal energy consumption at a given productivity of the entire complex. It is important to have a flow of input data to provide the system with operational information to support decision making.

The proposed intelligent control system makes it possible to analyze the results of production activities to make organizational and …

How (Not) To Deal With The Bubble Effect In Cyberspace: The Case Of The Eu And Digital Services Act, João Tornada

Brooklyn Journal of International Law

Deliberative democracies are based on an ideal process of speech and dialogue that fosters an “uninhibited, robust, and wide-open” public discourse sphere. In cyberspace, social networks and search engine platforms largely operate with recommender systems that tailor content according to the users' interests and online behavior (“profiling”), thus segregating them from different points of view (“bubble effect”). While this personalization of content is particularly efficient to promote commercial goods and services, when it comes to information of common interest, especially on political matters, it undermines consensus-building dialogue and threatens democratic ideals. The theory of a free “marketplace of ideas” justifies …

Effect Of Degumming Methods On Quality Of Rapeseed And Sunflower Oils, Oybek Zufarov, Kamar Serkayev

Chemical Technology, Control and Management

This study analyzed the effects of different degumming methods on the rapeseed and sunflower oils. Water degumming, acid degumming, and TOP degumming have been employed to reduce the content of phospholipids (P), calcium (Ca), magnesium (Mg), and iron (Fe) in the oils. After water degumming, the number of total phospholipids had decreased significantly (more than 80%) in both oils. Acid degumming further lowered phospholipids content more than 96%, and the protection factor (PF-indicates oxidative stability of oils) of values for rapeseed and sunflower oils have been 1.39 and 1.26, respectively. TOP degumming had effectively removed Fe, the amount of Fe …

Study Of Dynamic Characteristics Of The Mechanical Circuit Of The Developed Induction Inertial Vibration Transducer, Sulton Fayzullayevich Amirov, Asror Abdunabiyevich Shoimkulov

Chemical Technology, Control and Management

The article examines the dynamic characteristics of the mechanical circuit of the developed induction vibration transducer. It is found that in the investigated transducers forced oscillations occur with the frequency of the input disturbing force, the amplitude of forced oscillations does not depend on the initial conditions and time, and in forced oscillations with damping there is always a shift of the oscillation phase compared to the phase of the input disturbing force. It is shown that the induction vibration transducer reproduces the measured vibrations with small distortions only in a relatively narrow frequency region at frequencies of the input …