Engineering Commons^™

Algorithms And Models For Synthesis Of Elements Of Digital Information Systems, Odil Abdujalilovich Jumaev, M.T. Ismoilov, V.B. Pulatov, G.X. Rashidov

Chemical Technology, Control and Management

The development of algorithms for noise-tolerant and high-speed measurement systems involves an integrated approach that encompasses methods of data processing and transmission, as well as mechanisms for rapid response to changes. This paper presents the key principles and techniques used in such technologies. The information systems are thoroughly analyzed, including the use of signal processing techniques and their identification, filtering using various statistical techniques to determine signal parameters and the development of algorithms to analyze and classify signals. Critical aspects of the system such as performance, reliability, security and scalability are also evaluated. The paper discusses information system structures and …

Simulation Of Rice Disease Recognition Based On Improved Attention Mechanism Embedded In Pr-Net Model, Yang Lu, Pengfei Liu, Siyuan Xu, Qiwang Liu, Fuqian Gu, Peng Wang

Journal of System Simulation

Abstract: Aiming at the low accuracy of existing CNN models in identifying rice leaf diseases, a hybrid convolutional neural network model PRC-Net (parallel residual with coordinate attention network) combining parallel structure and residual structure is proposed. A parallel structure is introduced to improve the receptive field of convolution, and the residual structure is combined to achieve the complete and continuous transmission of feature information. An improved spatial attention mechanism is embedded into the backbone model PR-Net to enhance the degree of aggregation of lesion feature information at different scales. In order to further improve the accuracy of disease identification and …

Just-In-Time Learning Energy Consumption Predictive Modeling Method In Multi-Condition Production Process, Sheng Wei, Yan Wang, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the problem that the global energy consumption prediction model is only suitable for part of the prediction sample and the model is computationally intensive, the idea of just-in-time learning is introduced, and the local weighted partial least squares method combined with the energy consumption model is used to establish a temporary local energy consumption prediction model. The inertia weights of the particle swarm algorithm are improved, considering the effects of particle fitness, number of iterations and population size on the convergence speed and convergence accuracy of the particle swarm algorithm, a nonlinear change adaptive inertia weight strategy …

Thinking Of Aerospace Equipment Systematization Simulation Technology Development, Weimin Bao, Zhenqiang Qi

Journal of System Simulation

Abstract: The aerospace field is flourishing in the new era. Aerospace equipment presents new characteristics such as systematization, new quality, high efficiency and intelligence. Simulation technology plays a more important role in the digital aerospace era as a means of enhancing efficiency and empowerment covering all stages of the entire lifecycle, including project demonstration, research and development, testing, manufacturing, training, and maintenance. The conception of aerospace equipment systematization simulation technology is introduced, the current development status and practices at home and abroad are elaborated, and the future development trends and challenges of aerospace equipment systematization simulation technology are evaluated. Focusing …

Unsupervised Complex Condition Recognition Based On Stochastic Neighborhood Embedding, Lin Huang, Shanjun Liu, Wei Wang, Li Gong

Journal of System Simulation

Abstract: Modern industrial production equipment usually has a complex structure and runs alternately in different working conditions. Accurate working conditions identification based on monitoring data is the basis of health monitoring of the system, but the monitoring data of the system usually has a high dimension and a large data volume. To identify the complex equipment operating conditions, an unsupervised operating condition identification method based on stochastic neighborhood embedding is proposed. The stochastic neighborhood embedding algorithm can simultaneously preserve the local and global structural characteristics of the data, and also calculate the probability similarity of data points in high-dimensional and …

Completion Time Simulation Prediction Method For Aircraft Assembly Process With Batch And Sortie, Changjian Jiang, Hu Fan, Tao Luo, Wen Yuan, Zehao He

Journal of System Simulation

Abstract: Aiming at the product differentiation analysis limitation of traditional discrete event simulation method, a simulation prediction method for aircraft assembly process with batch and sortie is proposed. Around the aircraft sortie number, the formal definition of various basic elements and interactions in the assembly process with batch and sortie is studied, and the construction of station and whole line simulation model is carried out. The simulation promotion framework and execution mechanism supporting the product differentiation analysis are studied. Based on the simulation results, a method for predicting the completion time of sorties based on interval estimation method is proposed. …

Adaptive Pid Control Algorithm Based On Ppo, Zhiyong Zhou, Fei Mo, Kai Zhao, Yunbo Hao, Yufeng Qian

Journal of System Simulation

Abstract: A six-axis robotic arm is built and simulated in a complex control environment with disturbances by using MATLAB physics engine and Python, which provides a trial-and-error environment for the robotic arm training that could not be provided in reality. Proximal policy optimization(PPO) algorithm in reinforcement learning is proposed to improve the traditional PID control algorithm. By introducing the multi-agent idea and on the basis of the different effects of the three parameters of PID on control system and the characteristics of the six-axis robotic arm, the three parameters are separately trained as different intelligent individuals to achieve a new …

Fusing Rotation Angle Coding In Spherical Space For Human Action Recognition, Benyue Su, Bangguo Zhu, Mengjuan Guo, Min Sheng

Journal of System Simulation

Abstract: The existing human action recognition methods focus more on the translation information such as the coordinates and displacements of skeleton structure, and pay less attention to the motion trend of skeleton structure and the rotation information representing the motion direction of joints and bones. A spatio-temporal convolutional neural network method combining the rotation angle coding in spherical space is introduced. The angle information with scale invariance is obtained by mapping the human action in three-dimensional spherical space, and the dynamic angular velocity information is extracted as the angle code to represent the rotation information of joints and bones in …

Design Of Real-Time Simulation & Test Software Based On Windows/Rtx, Yongbo Li, Runmei Tian, Hui Zhang, Shanpeng Guo, Qi Li

Journal of System Simulation

Abstract: Aiming at the limited real-time performance of traditional test software and the low generality of traditional simulation interface software, a real-time simulation software based on Windows/RTX is designed to meet the requirements of unit testing and control system simulation verification of semiphysical simulation software. Through modular design, GUI layer human-computer interface and RTX layer real-time operation program are developed. To ensure the real-time, the lock-free cyclic buffer plus dual-threading technology is used to solve the timeout problem of serial data transmission and reception when the simulation step size is 1 ms under RTX environment. A timeout detection algorithm is …

Cooperative Ant Colony Algorithm Combining Evaluation Reward And Punishment Mechanism And Neighborhood Dynamic Degradation, Yujie Wang, Xiaoming You, Sheng Liu

Journal of System Simulation

Abstract: To address the slow convergence and the tendency to fall into local optimality in solving TSP, a cooperative ant colony algorithm combining evaluation reward and punishment mechanism and neighborhood dynamic degradation (ENCACO) is proposed. The paths are classified into active and abandon paths according to the path evaluation value, and with the path evaluation value as the weight, the different pheromone reward and punishment strategies are adopted for the two types of paths to accelerate the convergence speed of the algorithm. Through the neighborhood dynamic degradation strategy, and the neighborhood radius is used to divide the set of cities …

Construction Of A Virtual Interactive System For Orchards Based On Digital Twin, Hongjun Wang, Junqiang Lin, Xiangjun Zou, Po Zhang, Mingxuan Zhou, Weirui Zou, Yunchao Tang, Lufeng Luo

Journal of System Simulation

Abstract: Aiming at the low visibility, poor real-time, weak adaptability and single interaction mode in orchard planting management system, a six-dimensional model of orchard digital twin system for planting management process is proposed. The system model construction theory and technology system is discussed from four aspects, entity modeling of management elements, dynamic modeling of management process, simulation modeling of management system and optimization modeling of management strategy. Based on the six-dimensional model, supported by the theory and technology system, the virtual interactive system architecture of the orchard based on the digital twin is designed, and the key technologies of the …

Advancing Influence In Social Networks Based On Game Theory, Adedamola Adesokan

Electrical and Computer Engineering ETDs

Online Social Networks (OSNs) have become part of our everyday life, as a means of interacting with people, sharing content, attending events, etc. Influencers are professional OSN users, who have a large loyal audience and use the OSNs to market various goods or services based on brand partnerships. In this thesis, we introduce a novel mechanism to enable OSN users to become influencers by strategically deciding their activity within the OSN. Initially, the concepts of social coordinates and social communities are proposed. Then, a non-cooperative game is introduced to enable the users to make optimal decisions regarding their activity in …

Development Of Jetty Structure Design Procedures At The Schematic Design Stage With The Implementation Of Computational Design And Building Information Modelling To Improve Design Time Performance, Aidil Fitriansyah, Yusuf Latief

CSID Journal of Infrastructure Development

The construction sector faces persistent productivity challenges, significantly hindering the efficiency of design workflows. Computational Design (CD) and Building Information Modeling (BIM) offer potential solutions. CD enables the exploration of parametric design alternatives, while BIM enhances collaboration, visualization, and decision-making through comprehensive 3D models. This study aimed to investigate the processes and activities involved in the structural design of jetties during the schematic design phase using CD and BIM and to assess the impact of these activities on design time performance. A comprehensive analysis of secondary data was carried out, interviews were conducted with design experts, and quantitative analysis using …

Advancing Construction Practices: Innovations, Efficiency, And Safety In The Digital Era, Mohammed Ali Berawi, Perdana Miraj, Mustika Sari

CSID Journal of Infrastructure Development

In the ever-changing landscape of the construction industry, digital tools and procedures are a cornerstone of architectural and engineering practices. Building Information Modeling (BIM) and other computational design methodologies transform how projects are imagined, planned, and executed. These tools improve design precision while allowing real-time collaboration across different teams. As a result, adopting digital approaches is no longer an option but rather a requirement for remaining competitive in the construction industry. These innovative approaches provide an in-depth understanding of project complexities, drive design optimization, and contribute to resource management efficiency.

Construction efficiency has also improved due to lean manufacturing processes …

The Role Of Stakeholder Involvement In Enhancing Safe Drinking Water Infrastructure: An Interpretative Structural Modeling Approach, Awlya Rahmanea, Ayomi Dita Rarasati

CSID Journal of Infrastructure Development

One of the primary goals listed in the Sustainable Development Goals (SDGs) is to “Achieve universal and equitable access to safe and affordable drinking water for all,” as stated in SDG 6.1. To obtain this goal, the Government of Indonesia has developed the 2020-2024 National Medium-Term Development Plan (RPJMN), which has set specific targets including achieving 100% access to decent drinking water, 15% access to safe drinking water, and establishing 10 million house connections. The Ministry of National Development Planning has established a goal of achieving 45% access to safe drinking water by 2030 as part of the SDGs. However, …

The Most Influential Factors On The Risk Cost Estimation Process Of Implementing Bim 5d In Quantity Take-Off For Green Retrofitting Of High-Rise Buildings, Febrianti Silviana Dewi, Yusuf Latief, Bernadette Detty Kussumardianadewi

CSID Journal of Infrastructure Development

Green retrofitting aims to guide buildings toward sustainable practices, reducing carbon emissions associated with building operations and construction. This study explores the application of Building Information Modeling (BIM) 5D Quantity Take-Off (QTO) to existing high-rise buildings, focusing on components that enhance the performance of environmentally friendly structures and project management. This research identifies the factors influencing the cost estimation process and examines the risks across various phases, activities, outputs, and utilization of BIM 5D in cost estimation. The study highlights the most influential factors in implementing green retrofitting for high-rise buildings using structured interviews, questionnaires, and expert validation. The analysis …

Retracted: Empowerment Of Increasing Economic Resilience Post Covid-19 Janjang Wulung Village Community Through Creative Economic Village Planning, Alvian Wardhana, Muhammad Ramayuda, Faza Farhan Muhammad, Acyuta Putri Nariswari, Salsa Dwi Cahya, Garin Ardi Wicaksono, Dani Rizky Dianafi, Muhammad Ivan

CSID Journal of Infrastructure Development

This article has been retracted at the request of the authors.

Reason:

1. Conflict of interest for using an open database under the assignment of “Studio Desa” on the odd semester 2020/2021 at Perencanaan Wilayah dan Kota, Universitas Brawijaya

2. The plaintiff's consideration comes from another researcher under the assignment of “Studio Desa” related to the reconstruction of Journal results and development

3. Avoid bigger conflicts, especially those related to all parties, including authors, Plaintiff parties, institutions, and all parties involved

The Publisher

Comparison Of The Accuracy Of Contour Data In Photogrammetric And Terrestrial Surveys, Hendra Saputra, Roma Rizki, Marhadi Sastra

CSID Journal of Infrastructure Development

Understanding and accurately representing the Earth's surface is crucial in various scientific and practical fields. Over the past decades, measurement technology has seen remarkable advancements, offering an array of methods for recording and analyzing Earth's surface with increasing precision and efficiency. Two primary approaches have risen to the forefront of this field: the Digital Terrain Model (DTM) and terrestrial measurements using a Total Station. Although both technologies offer unique advantages and constraints, a comprehensive direct comparison between these two methods often remains an underexplored area. The Digital Elevation Model (DEM) represents the height of the ground surface resulting from acquisition …

Simulation Of Robotic Peg-In-Hole Assembly Strategy Based On Drl, Zilu Zhu, Yongkui Liu, Lin Zhang, Lihui Wang, Tingyu Lin

Journal of System Simulation

Abstract: Aiming at the existing peg-in-hole assembly method problems of dependence on accurate contact state models, difficulties in data acquisition, low sampling efficiency, and poor security, a simulation research method for robot peg-in-hole assembly strategy based on DRL is proposed. A simulation environment of robot peg-in-hole assembly based on ROS-Gazebo is built, and a method of gravity compensation for force/torque sensor based on a least square method is proposed. The reinforcement learning paradigm is employed to model the robot peg-in-hole assembly, and a method based on soft actor-critic(SAC) algorithm is proposed. The communication mechanism between the simulation environment and the …

Critical Success Factors In Pump Production To Increase Lean Manufacturing Project Performance, I Bayu Dwianditya, Leni Sagita Riantini, Yusuf Latief

CSID Journal of Infrastructure Development

Floods represent a significant global disaster, occurring more frequently and causing severe damage. The effective production of pumps is crucial in supporting flood infrastructure projects. Lean Manufacturing (LM) and Project Management (PM) approaches must be incorporated to improve pump production manufacturing. Therefore, this study aims to identify the critical success factors that enhance LM performance in pump production projects for flood management through surveys conducted among pump manufacturers, governmental bodies, and relevant stakeholders engaged in flood infrastructure projects. The study's results highlight the importance of understanding and analyzing project complexity, aligning pump design with project requirements, and mastering processes and …

Analyzing The Effect Of The Construction Safety Audit Model Using The Business Process Model And Notation (Bpmn) Method On Improving Communication And Collaboration Between Stakeholders., Muhammad Ghazali, Danang Budi Nugroho, Yusuf Latief

CSID Journal of Infrastructure Development

The significant increase in infrastructure development is directly proportional to the rising accident rate in the construction sector, making it one of the highest-risk sectors for accidents. This phenomenon indicates that existing construction safety audits have not been effective in preventing accidents, largely because audits are generally conducted only at the construction stage. Audits at the design stage, however, have the potential to impact accident prevention significantly. Therefore, this research aims to develop a construction safety audit model using the Business Process Model and Notation (BPMN) and analyzes the impacts on stakeholder communication and collaboration. BPMN was chosen because it …

Investigating The Relationship Among The Construction Safety Plan, Knowledge Management, Audit Process, Information System, Web, And Bim With Construction Safety Performance, Zafira Alysha Fadli, Yusuf Latief, Danang Budi Nugroho

CSID Journal of Infrastructure Development

The rapid growth of high-rise building construction in Indonesia has led to a significant increase in accidents, necessitating a robust audit process for construction safety. This research investigates the relationship between construction safety plans (CSPs), audit processes, knowledge management (KM), information systems, the web, and BIM on construction safety performance, aiming to develop a BIM-based KM audit process. To analyze the significance level of various indicators for each variable considerable importance, a mixed-methods approach was employed, combining qualitative insights from expert interviews with quantitative analysis using Structural Equation Modeling (SEM) via SmartPLS. The findings in the study reveal that the …

Manufacturing Of Aligned Electrospun Nanofiber Yarns For Their Enhanced Mechanical And Piezoelectric Properties, Adaugo Mary-Frances Enuka

Theses and Dissertations

Electrospinning is a widely used technique for producing nanofibers with diverse applications. This method uses polymer solutions and strong electric fields to generate nano-sized fibers with unique properties. This study presents a novel manufacturing approach that enables the production of electrospun poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) nanofiber yarns using an automated parallel track system and an adjustable roll-to-roll collector. This research examines the impact of an automated post-drawing system on the polymer chain orientation, crystallinity, tensile strength, morphology, and piezoelectric properties of PVDF-HFP nanofiber yarn. The results reveal that the post-drawing process significantly improves molecular alignment, increases tensile strength, and enhances the …

In Situ Diffuse Reflectance Spectroelectrochemistry Of Cathode Materials In Lithium-Ion Batteries, Lu-Lu Chen, Hao-Ran Li, Wei-Yi Liu, Wei Wang

Journal of Electrochemistry

Developing in situ spectroelectrochemistry methods, which can provide detailed information about species transformation during electrochemical reactions, is very important for studying electrode reaction mechanisms and improving battery performance. Studying real-time changes in the surface of electrode materials during normal operation can be an effective way to assess and optimize the practical performance of electrode materials, thus, in situ and in operando characterization techniques are particularly important. However, batteries are hard to be studied by in situ characterization measurements due to their hermetically sealed shells, and there is still much room for battery characterizations. In this work, a specially designed battery …

Molybdenum Disulfide And Carbon Nanotubes Composite Electrode For Electrochemical Conversion Of Salinity Gradient Energy, Jia-Jun Li, Wei-Bin Zhang, Xin-Yu Liu, Jing-Lei Yang, Yi Yin, Ze-Qin Yang, Xue-Jing Ma

Journal of Electrochemistry

The ocean accounts for 97% of the total water resources on earth, covering over 70% of the map's surface area. With the continuous consumption of non-renewable energy sources such as fossil fuels and the rapid development of renewable energy, humans are increasingly paying attention to the utilization of ocean resources. Ocean energy includes tidal energy, wave energy, temperature difference energy, and salinity gradient energy. Salinity gradient energy is the energy generated by the interaction of seawater and fresh water, which is the ocean energy existing in the form of chemical energy. This energy is mostly generated in estuaries. The osmotic …

Matrix Processing With Photonic Analog Computing, James Michael Garofolo

Theses and Dissertations

In the digital age, a wide variety of engineering problems have been solved, to a great deal of success, by digital computing techniques. The flexibility of software and relatively low cost of digital computing hardware make it an ideal starting point for solving a majority of tasks, and the numerical stability of software solutions make it highly appealing as the major workhorse for computational tasks. Despite this, many problems are actually suboptimally solved by digital methods, leading to systems with high latency, low throughput, power hungry parallel processing units and an excess of memory for discretizing sensor inputs. Computational photonic …

Dynamic Air Defense Resource Allocation Optimization Based On Improved Differential Evolution Algorithm, Tianyu Luo, Lining Xing, Rui Wang, Ling Wang, Jianmai Shi, Xin Sun

Journal of System Simulation

Abstract: Based on the integrated performance of weapon equipments such as radars, launchers and missiles, a mixed-integer decision model that minimizes the total target intercept value and the probability of survival based on Target-Set, Resource-Set is developed. A new improved differential evolutionary algorithm has been introduced to solve the problem, and the initial solutions is generated by using the reverse learning strategies to ensure the quality of the initial populations. An inspiration rule for the fast repair and reconstruction is designed to work at multi-stage to improve the search capability of the algorithm. The simulation experiment results show the algorithm's …

Research On Operational Protection Area Of Ils Glide Slope, Qingdong Li, Jiaquan Ye, Jian Xu

Journal of System Simulation

Abstract: The scientific protection for the operational protection area of the instrument landing system glide slope is of great significance to ensure the quality of civil aviation navigation space signals, the safety of aircraft approach operations, and the efficiency of airport operations. Combined with the concept evolution of the glide slope operational protection area, a comparative analysis of the delineation of the glide slope operational protection area required by the national civil aviation standards, industry standards, and Annex 10 Volume I of the Convention on International Civil Aviation is carried out. Taking the extra-large aircraft (A380-800) as an example, the …

Air Defense Missile Weapon Target Assignment Based On Multi-Objective Evolutionary Algorithm, Xin Sun, Lining Xing, Rui Wang, Ling Wang, Jianmai Shi, Tianyu Luo

Journal of System Simulation

Abstract: An effective weapon target assignment method can reduce the combat losses and improve the defense effect. A reasonable mathematical model is established for the allocation of air defense resources, aiming at the optimization objectives of maximizing target destruction effectiveness and minimizing radar resource consumption, considering multiple constraints such as the upper limit of radar channels, on the basis of multiobjective evolutionary algorithm based on decomposition (MOEA/D), the probability of crossover and mutation is adaptively adjusted to improve the quality of individuals in the process of population evolution, and a set of optimal solution sets for decision makers is obtained. …

Classification Cooperative Scheduling Of U-Automated Container Terminal Based On Container Markers, Fei Wang, Daofang Chang, Furong Wen

Journal of System Simulation

Abstract: To improve the confusing scheduling of U-shaped yard operations due to improper classification of containers, the classification cooperative scheduling process is proposed, in which the classification cooperative scheduling model is established with the constraints of coordinated operation and efficient independent operation. The container classification principle and the container multiple stacking principle are proposed, the stacking point is selected by the weighted calculation based on the container operation mark to design the penalty mechanism, and the classification cooperative heuristic algorithm solution model is designed. Comparative experiments show that the strategy used in the algorithm is superior,which can reduce the equipment …