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Articles 13771 - 13800 of 195898
Full-Text Articles in Engineering
Citizen And Technology: The Core In Developing Human-Centric Smart Cities, Mohammed Ali Berawi, Mustika Sari, Perdana Miraj
Citizen And Technology: The Core In Developing Human-Centric Smart Cities, Mohammed Ali Berawi, Mustika Sari, Perdana Miraj
CSID Journal of Infrastructure Development
As urbanization continues to grow, the development of smart cities has become a pivotal strategy for addressing the complex challenges of modern urban living. These cities harness advanced technologies like the artificial intelligence (AI), Internet of Things (IoT), and Digital Twin to optimize city operations, improve sustainability, and enhance the quality of life for their residents. However, the success of smart cities should not be measured by the sheer quantity of hardware and software implemented but rather by the quality of life they create for the people who live and work within them. In other words, smart cities must prioritize …
Assessment Of Parking Facilities In Public Areas: The Case Of Keffi Town, Ayodeji Solomon Olatunji, Enogela Ahmed John, Adeyemi Adewumi Adedeji, Muhammed Loko Mikaila
Assessment Of Parking Facilities In Public Areas: The Case Of Keffi Town, Ayodeji Solomon Olatunji, Enogela Ahmed John, Adeyemi Adewumi Adedeji, Muhammed Loko Mikaila
CSID Journal of Infrastructure Development
The absence of adequate parking facilities in residential and public areas remains a significant issue in developing countries, often disrupting economic activities and environmental quality. In Keffi town, the increasing demand for parking exceeds the available supply, leading to congestion and inefficiency. This study evaluates the current public parking facilities, focusing on provision levels, infrastructure conditions, and management frameworks. Primary data were gathered using structured questionnaires and direct observations, with 328 valid responses analyzed through descriptive statistics. Results indicate that prolonged vehicle stays exacerbate congestion, such as at Nasarawa State University (32.8%) and Federal Medical Centre (29.1%). Parallel parking dominates …
Analytical Study On The Intensity Of Surface Urban Heat Island (Suhi) In Kaduna State, Paul Onibaba, Kolade Victor Otokiti, Oluwabukola Grace Ademola, Temitope Mercy Akanle
Analytical Study On The Intensity Of Surface Urban Heat Island (Suhi) In Kaduna State, Paul Onibaba, Kolade Victor Otokiti, Oluwabukola Grace Ademola, Temitope Mercy Akanle
CSID Journal of Infrastructure Development
Urbanization and climate change are significant drivers of rising Land Surface Temperature (LST) and the formation of Urban Heat Islands (UHIs), which have emerged as pressing environmental challenges in recent decades. This study examines the relationship between Land Use/Cover (LU/C) indices and LST in Kaduna, Nigeria, using multi-temporal Landsat imagery spanning five periods from 2001 to 2021. LST values were derived from the Landsat thermal bands, while LU/C dynamics were identified using the Maximum Likelihood Classifier algorithm. LU/C indices—including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), Modified Normalized Difference Water Index (MNDWI), and Soil-Adjusted Vegetation Index …
Development Strategies For Grid-Connected Utility-Scale Solar Photovoltaic To Increase Renewable Energy Penetration, Surya Budi Ariyadi, Widodo W Purwanto
Development Strategies For Grid-Connected Utility-Scale Solar Photovoltaic To Increase Renewable Energy Penetration, Surya Budi Ariyadi, Widodo W Purwanto
CSID Journal of Infrastructure Development
The government of Indonesia has launched programs to decarbonize its power systems by replacing fossil fuel-based plants with renewable energy. Solar photovoltaic (PV) deployment faces economic and technical barriers despite abundant solar irradiance. This study evaluates techno-economic strategies for 10 MW grid-connected solar PV systems, comparing two scenarios: without Battery Energy Storage System (BESS) and with BESS to reduce grid reliance. Key interventions were analyzed for their economic impacts, including tariff adjustments, carbon tax implementation, and competitive auction schemes. The results show that without BESS, the project achieves an Internal Rate of Return (IRR) of 21.30%, making it highly feasible. …
Assessment Of Project Risk Performance Of Selected Mass Housing Infrastructures In Northern Nigeria, Chinedu Chimdi Adindu, Abdulhaqq Onoruoyiza Muhammed, Emmanuel Ashem Egila, Musa Mohammed
Assessment Of Project Risk Performance Of Selected Mass Housing Infrastructures In Northern Nigeria, Chinedu Chimdi Adindu, Abdulhaqq Onoruoyiza Muhammed, Emmanuel Ashem Egila, Musa Mohammed
CSID Journal of Infrastructure Development
Mass housing projects in Northern Nigeria often suffer from insufficient risk management, impacting timely delivery, budget adherence, and quality standards. This study assesses risk vulnerabilities in selected mass housing infrastructure projects, focusing on information risks related to roles, responsibilities, scope, requirements, and operations. A mixed-methods approach was employed, with data collected from 465 construction professionals across 20 states, with a 64.58% response rate. Analytical tools, including regression and Pearson correlation, identified critical risks such as underfunding, weak project monitoring and control, and the failure to deliver end-user value. Findings reveal that these risks significantly undermine project outcomes, highlighting the need …
Strategic Knowledge Management Framework For Technology Transfer In Indonesian Joint Operation Construction Projects, Yudha Trimuliadi Suryana, Ayomi Dita Rarasati
Strategic Knowledge Management Framework For Technology Transfer In Indonesian Joint Operation Construction Projects, Yudha Trimuliadi Suryana, Ayomi Dita Rarasati
CSID Journal of Infrastructure Development
Joint Operation (JO) construction companies in Indonesia face persistent challenges in technology transfer, including misalignment between advanced technologies and organizational capacities. Knowledge management has been proposed as a strategic solution, but its implementation remains underdeveloped. This study develops a framework to enhance technology transfer in JO construction projects through improved knowledge management practices. Utilizing a mixed-methods approach, the research combines a literature review with an analytical hierarchy process, fuzzy set theory, and a simple additive weighting method, supported by data from selected respondents involved in the Jakarta Mass Rapid Transit (MRT) project (CP201). Key findings identify knowledge acquisition, utilization, and …
Digital Twin And Cybersecurity In Additive Manufacturing, Lidong Wang
Digital Twin And Cybersecurity In Additive Manufacturing, Lidong Wang
Journal of Cybersecurity Education, Research and Practice
Additive manufacturing (AM) has been applied to automotive, aerospace, medical sectors, etc., but there are still challenges such as parts’ porosity, cracks, surface roughness, intrinsic anisotropy, and residual stress because of the high level of thermal gradient. It is significant to conduct the modeling and simulation of the AM process and achieve quality products. Digital Twin (DT) can help AM with forecasting defects/errors through simulation and real-time process monitoring. DT is a concept of Industry 4.0, and its digital structure reflects the real-time behaviors of a cyber-physical or physical system. This paper introduces the progress of DT applications in AM, …
Impact Of Logistics Factors On Procurement Of Construction Materials In Lokoja, Kogi State, Muhammed Etudaiye Ohida, Isa Imam, Araoye Olarinkoye Ajiboye
Impact Of Logistics Factors On Procurement Of Construction Materials In Lokoja, Kogi State, Muhammed Etudaiye Ohida, Isa Imam, Araoye Olarinkoye Ajiboye
CSID Journal of Infrastructure Development
This study investigates the influence of logistics factors on the procurement of construction materials in Lokoja, Kogi State, aiming to identify and rank the critical elements affecting material procurement in building projects. A total of 250 questionnaires were distributed across nineteen neighborhoods in Lokoja using a random sampling technique. Data were analyzed using descriptive statistics, while the T-test assessed the significance of identified logistics factors. The findings revealed that seventeen logistics factors influence material procurement, with seven factors emerging as the most significant: on-time delivery, transportation challenges, material misdelivery, delivery inaccuracies, order processing, storage capacity limitations, and ineffective information flow. …
Overview Of Nigeria’S Infrastructural Development, Muhammad Onoruiza Audu, Otu Muhammed Adeiza
Overview Of Nigeria’S Infrastructural Development, Muhammad Onoruiza Audu, Otu Muhammed Adeiza
CSID Journal of Infrastructure Development
This paper offers a comprehensive analysis of Nigeria’s infrastructural development from 2014 to 2023, focusing on significant achievements and recurring challenges. The study examines key projects in transportation, energy, and housing, such as the Abuja-Kaduna and Lagos-Ibadan railways, the Azura-Edo Power Plant, and urban road upgrades. Persistent issues, including insufficient funding, regulatory inefficiencies, regional disparities, and security challenges, are also assessed. Using a mixed-methods approach that incorporates a literature review, data analysis, and stakeholder perspectives, the research evaluates the social and economic effects of these initiatives. The findings provide strategic recommendations to improve infrastructure quality and accessibility, promote sustainable practices, …
Determination Of The Kinetic Parameters Of Cholesterol Oxidation Using Cholesterol Oxidase From Streptomyces Sp., Meka Saima Perdani, Heri Hermansyah, Muhamad Sahlan, Dwini Normayulisa Putri, Teguh Pambudi, Anggi Khairina Hanum Hasibuan
Determination Of The Kinetic Parameters Of Cholesterol Oxidation Using Cholesterol Oxidase From Streptomyces Sp., Meka Saima Perdani, Heri Hermansyah, Muhamad Sahlan, Dwini Normayulisa Putri, Teguh Pambudi, Anggi Khairina Hanum Hasibuan
Makara Journal of Technology
Cholesterol oxidase (CO) was successfully produced from Streptomyces sp. via the submerged fermentation method, and 69 U/mL enzyme activity was obtained. This study aimed to determine cholesterol oxidation kinetics and the production of CO as a catalyst. The enzyme was diluted to 0.15, 0.075, and 0.00375 U/mL for the oxidation reaction. The substrate was also prepared in three concentrations: 3.23, 6.46, and 12.93 mM. The optimization of conditions for enzymatic cholesterol oxidation was investigated through measurement of the effect of initial cholesterol and enzyme concentrations. Cholesterol concentration was rapidly measured via high-performance liquid chromatography (HPLC). The kinetics of CO were …
Effect Of Different Pressures On Polymer Flow At A Contraction Path: A Real-Time Numerical Approach, Muhammad Afiq Azmi, Zulkifli Mohamad Ariff, Raa Khimi Shuib, Arjulizan Rusli, Ku Marsilla Ku Ishak, Mohamad Danial Shafiq, Zuratul Ain Abdul Hamid, Zulfirdaus Zakaria, Muhamad Husaini Abu Bakar, Muhammad Khalil Abdullah
Effect Of Different Pressures On Polymer Flow At A Contraction Path: A Real-Time Numerical Approach, Muhammad Afiq Azmi, Zulkifli Mohamad Ariff, Raa Khimi Shuib, Arjulizan Rusli, Ku Marsilla Ku Ishak, Mohamad Danial Shafiq, Zuratul Ain Abdul Hamid, Zulfirdaus Zakaria, Muhamad Husaini Abu Bakar, Muhammad Khalil Abdullah
Makara Journal of Technology
The complexity of polymer flow through a contraction arises from the simultaneous occurrence of shear and elongational strains near the entrance of the contraction path (die). Although this phenomenon has been extensively studied, the effect of plunger motion on the flow toward the contraction path remains underexplored. This study investigated the rheological behavior of thermoplastic polymers at a contraction flow path to enhance the understanding of their flow and rheological behavior, including variations in velocity, pressure, viscosity, and shear rate under varying loads. Polypropylene (PP), a semicrystalline polymer with a low melting point, was used as the test material. The …
Exploring Blockchain Technology: Applications And Insights Across Multiple Fields, Zarella Valentina Burbano Vallejo, Edgar Dario Obando Paredes
Exploring Blockchain Technology: Applications And Insights Across Multiple Fields, Zarella Valentina Burbano Vallejo, Edgar Dario Obando Paredes
AUIQ Technical Engineering Science
Blockchain is a digital recording technology where each block contains encrypted data linked to previous blocks, forming an immutable and transparent sequence. This review systematically analyzes the applications and evolution of blockchain technology across multiple sectors from 2021–2023. peer-reviewed articles focused on key areas such as finance, healthcare, energy, and supply chain management. The findings highlight blockchain's transformative potential, including its ability to enhance security through encryption and decentralization, improve trust and data integrity, and eliminate intermediaries, enabling faster transactions and cost reduction. However, challenges such as scalability issues, high energy consumption in cryptocurrency mining, privacy concerns due to the …
A Statewide Geographic Information System (Gis) As A Predictive Tool For Locating Deeply Buried Archeological Deposits In Nebraska: Phase Iii-The Sandhills Region, Anthony L. Layzell, Rolfe D. Mandel, John Swigart, David T. Williams
A Statewide Geographic Information System (Gis) As A Predictive Tool For Locating Deeply Buried Archeological Deposits In Nebraska: Phase Iii-The Sandhills Region, Anthony L. Layzell, Rolfe D. Mandel, John Swigart, David T. Williams
Nebraska Department of Transportation: Research Reports
This project developed a GIS to assist with the identification of deeply buried cultural deposits in alluvial settings across the Sandhills region of Nebraska. Soil survey data, previous geoarchaeological investigations, landform position, and other information was used to rank the potential of any stream valley setting as low, low-moderate, moderate-high, or high potential to contain buried cultural deposits. While the presence of buried soils does not necessarily translate to presence of buried archeological sites, the potential for such sites is far greater in buried soils. The GIS can be used by NDOT and other agencies with statutory historic preservation obligations, …
Evaluation Of Impact Energy In Composites Using Acoustic Emission Sensing Technique, Li Ai, Tanner Mesaric, Sydney Flowers, Sydney Houck, Joshua Widawsky, Paul Ziehl
Evaluation Of Impact Energy In Composites Using Acoustic Emission Sensing Technique, Li Ai, Tanner Mesaric, Sydney Flowers, Sydney Houck, Joshua Widawsky, Paul Ziehl
Faculty Publications
A major challenge faced by composite materials is impact, which can result in unexpected damage and degradation. Impact events can cause significant structural damage that may not be immediately visible, leading to a reduction in the material’s mechanical properties and overall performance. This paper presents an impact assessment method using acoustic emission (AE) sensing technology. The primary goal of this approach is to determine the extent of impact damage on composite components by analyzing AE signals produced under operating stress conditions. An advanced algorithm is proposed to predict the probability that the damage falls into various damage categories, providing a …
Physics-Informed Heterogeneous Spatiotemporal Graph Neural Network For Reservoir Simulation, Ahmed A.M.A. Abdullah
Physics-Informed Heterogeneous Spatiotemporal Graph Neural Network For Reservoir Simulation, Ahmed A.M.A. Abdullah
LSU Master's Theses
Reservoir simulation is the state-of-the-art method for predicting the flow of petroleum reservoir fluids in porous media. It provides an accurate and unbiased prediction of the performance of petroleum reservoirs under different operating conditions. Despite its advantages, reservoir simulation is computationally expensive; with typical full-field simulation models running for several hours. This limitation is worsened when simulating reservoirs with several equations for each cell, such as multiphysics or compositional reservoir simulation. The goal of this research is to provide a fast and accurate spatiotemporal machine-learning model that incorporates discretized governing mass balance equations for training. To achieve this, we propose …
In Situ Preparation Of Silver Nanoparticles/Organophilic-Clay/Polyethylene Glycol Nanocomposites For The Reduction Of Organic Pollutants, Amina Sardi, Bouhadjar Boukoussa, Aouicha Benmaati, Kheira Chinoune, Adel Mokhtar, Mohammed Hachemaoui, Soumia Abdelkrim, Issam Ismail, Jibran Iqbal, Shashikant P. Patole, Gianluca Viscusi, Mohamed Abboud
In Situ Preparation Of Silver Nanoparticles/Organophilic-Clay/Polyethylene Glycol Nanocomposites For The Reduction Of Organic Pollutants, Amina Sardi, Bouhadjar Boukoussa, Aouicha Benmaati, Kheira Chinoune, Adel Mokhtar, Mohammed Hachemaoui, Soumia Abdelkrim, Issam Ismail, Jibran Iqbal, Shashikant P. Patole, Gianluca Viscusi, Mohamed Abboud
All Works
This work focuses on the preparation and application of silver nanoparticles/organophilic clay/polyethylene glycol for the catalytic reduction of the contaminants methylene blue (MB) and 4-nitrophenol (4-NP) in a simple and binary system. Algerian clay was subjected to a series of treatments including acid treatment, ion exchange with the surfactant hexadecyltrimethylammonium bromide (HTABr), immobilization of polyethylene glycol polymer, and finally dispersion of AgNPs. The molecular weight of polyethylene glycol was varied (100, 200, and 4000) to study its effect on the stabilization of silver nanoparticles (AgNPs) and the catalytic activity of the resulting samples. The results showed that the catalyst with …
Design, Control, And Evaluation Of A Photovoltaic Snow Removal Strategy Based On A Bidirectional Dc-Dc Converter For Photovoltaic–Electric Vehicle Application, Salma Elakkad, Mohamed Hesham, Hany Ayad Bastawrous, Peter Makeen
Design, Control, And Evaluation Of A Photovoltaic Snow Removal Strategy Based On A Bidirectional Dc-Dc Converter For Photovoltaic–Electric Vehicle Application, Salma Elakkad, Mohamed Hesham, Hany Ayad Bastawrous, Peter Makeen
Electrical Engineering
A novel self-heating technique is proposed to clear snow from photovoltaic panels as a solution to the issue of winter snow accumulation in photovoltaic (PV) power plants. This approach aims to address the shortcomings of existing methods. It reduces PV cell wear, resource loss, and safety risks, without the need for additional devices. A self-heating current is applied to the solar panel to melt the snow covering its surface, which is then allowed to slide off the panel due to gravity. The proposed system consists of a bidirectional DC-DC converter, which removes the snow cover by heating the solar PV …
Dynamic Analysis Of Additively Manufactured Tensegrity Structures, Keivan Davami, Russell A. Rowe, Ben Gulledge, Jesse Park, Ali Beheshti, Anthony N. Palazotto, Fariborz Tavangarian, Sadie Beck
Dynamic Analysis Of Additively Manufactured Tensegrity Structures, Keivan Davami, Russell A. Rowe, Ben Gulledge, Jesse Park, Ali Beheshti, Anthony N. Palazotto, Fariborz Tavangarian, Sadie Beck
Faculty Publications
Herein, we present an analysis, design, and experimental testing of modular prestressed pin-jointed structures constructed from bistable units and inspired by the classical triangular tensegrity prism. Tensegrity structures, characterized by a combination of tension members (cables) and compression members (bars) in a self-equilibrated state, have gained significant attention in engineering over the past two decades due to their unique nonlinear mechanical behavior. The discontinuity of the compression members in tensegrity structures leads to a slightly different failure behavior compared to their lattice structure counterparts, with unprecedented applications. However, traditional fabrication and assembly methods have posed challenges for their widespread adoption. …
Movian: Advancing Human Motion Analysis With 3d Visualization And Annotation, Trudi Di Qi, Isaac Browen, David Zhang, Hector M. Camarillo-Abad, Franceli L. Cibrian
Movian: Advancing Human Motion Analysis With 3d Visualization And Annotation, Trudi Di Qi, Isaac Browen, David Zhang, Hector M. Camarillo-Abad, Franceli L. Cibrian
Engineering Faculty Articles and Research
Human motion analysis, including data visualization and annotation, is crucial for understanding human behavior and intentions during various activities, aiding in the development of innovative tools that support independent living. Current wearable sensing technology provides rich 3D spatial movement data but generates multimodal complex datasets that require specialized skills for effective analysis. Despite the need, limited research exists on tools for effective visualization and easy annotation of such complex motion data. MoViAn (Motion Data Visualization and Annotation) is an innovative 3D data analysis system offering enriched visual representations of 3D human motion data (e.g., gaze, hand movements), along with an …
Measuring And Improving Api Usability And Quality: A Comprehensive Framework And Empirical Study, Sultan Alanazy
Measuring And Improving Api Usability And Quality: A Comprehensive Framework And Empirical Study, Sultan Alanazy
Computer Science and Engineering Theses and Dissertations
Cloud computing provides on-demand access to flexible computing resources, enabling rapid application deployment without substantial infrastructure investment. Application Programming Interfaces (APIs) play an important role in ensuring the success of cloud applications. The primary users of APIs are the extensive community of application programmers who search, read, and understand APIs before integrating them into their applications or systems. In addition, developers often turn to online API support when seeking help. Problems in such support can result in incorrect API usage and integration problems. There is an urgent need to measure API usability and support issues to identify, characterize, and assess …
Microwell Fabrication For Impedance And Ac Measurements Of Isolated Ventricular Cardiomyocytes, Fallon Wenck
Microwell Fabrication For Impedance And Ac Measurements Of Isolated Ventricular Cardiomyocytes, Fallon Wenck
Multidisciplinary Studies Theses and Dissertations
Electrophysiological behavior of human hearts have been extensively studied for hundreds of years. Even with elucidation of not just biological function, but also time and frequency-dependent current flow, the sheer intricacy of in vivo cardiac tissue function remains somewhat enigmatic. All while heart disease has been the leading cause of death in the United States for over a century, with its rates of occurrence still increasing annually [1]. Thus, new research techniques and tools to quantify cardiac function are still being pursued at smaller and smaller scales to decrease research/innovation time, cost, and diagnostic ambiguity. In fact, it remains incredibly …
Analyzing Handwriting Legibility In Children Using Smart Vs. Traditional Pen, Franceli L. Cibrian, Lauren Min, Yingying 'Yuki' Chen, Kayla Anderson, Oscar Gutierrez, Lizbeth Escobedo
Analyzing Handwriting Legibility In Children Using Smart Vs. Traditional Pen, Franceli L. Cibrian, Lauren Min, Yingying 'Yuki' Chen, Kayla Anderson, Oscar Gutierrez, Lizbeth Escobedo
Engineering Faculty Articles and Research
Handwriting, traditionally acquired through paper, pen, or pencil, is crucial for children’s development, learning, and communication. The legibility of letters holds crucial implications for children’s composition and even self-esteem. In order to ensure legibility, timely input from educators and parents is essential, although it primarily depends on their experience. With current technological advancements, smartpens, augmented with sensing capabilities, could offer a novel approach providing feedback. However, it is unclear if the smartpen’s weight and form factor could affect children’s handwriting legibility is unclearsmartpen’s weight and form factor could affect children’s handwriting legibility. This study involves 16 children aged 9 to …
Towards A Multimodal Approach For Assessing Adhd Hyperactivity Behaviors, Franceli L. Cibrian, Lauren Min, Vitica Arnold
Towards A Multimodal Approach For Assessing Adhd Hyperactivity Behaviors, Franceli L. Cibrian, Lauren Min, Vitica Arnold
Engineering Faculty Articles and Research
Attention Deficit Hyperactivity Disorder (ADHD) is the most prevalent childhood psychiatric condition that needs an assessment of inattention, hyperactivity, and impulsiveness symptoms. Particularly in young children, hyperactivity-impulsivity stands out as a primary concern. However, those behaviors may or may not be evidenced when a child is in a small room, one-on-one with a single adult. Therefore, Ambient Intelligence technology that supports data collection in a natural setting, paired with expert human decision-making can potentially improve the quality of assessments. In this paper, we conduct a literature review and analysis to align ADHD assessment criteria with potential sensor technologies to collect …
Simulation Of Cascade Failure In Urban Rail Transit Hypernetworks Based On Hypergraph Theory, Zijin Han, Mingjun Qian, Xixian Wang, Kaiyue Zhang
Simulation Of Cascade Failure In Urban Rail Transit Hypernetworks Based On Hypergraph Theory, Zijin Han, Mingjun Qian, Xixian Wang, Kaiyue Zhang
Journal of System Simulation
Abstract: In order to enhance the resilience of urban rail transit networks to ensure stable operations and passenger safety in the face of emergencies, hypergraph theory is introduced to construct a hypergraph based urban rail transit hypernetwork model, and a nonlinear load-capacity cascading failure model based on passenger flow weighting is established. In response to the passenger evacuation process at actual transportation network stations, a load redistribution mechanism is proposed, taking into consideration both the network level and the importance of passenger flow. To address scenarios where stations in actual traffic networks can still accommodate loads during shutdowns, a node …
A Fast Federated Learning-Based Crypto-Aggregation Scheme And Its Simulation Analysis, Boshen Lü, Xiao Song
A Fast Federated Learning-Based Crypto-Aggregation Scheme And Its Simulation Analysis, Boshen Lü, Xiao Song
Journal of System Simulation
Abstract: To solve the problem of increased computation and communication costs caused by using homomorphic encryption (HE) to protect all gradients in traditional cryptographic aggregation (cryptoaggregation) schemes, a fast crypto-aggregation scheme called RandomCrypt was proposed. RandomCrypt performed clipping and quantization to fix the range of gradient values and then added two types of noise on the gradient for encryption and differential privacy (DP) protection. It conducted HE on noise keys to revise the precision loss caused by DP protection. RandomCrypt was implemented based on a FATE framework, and a hacking simulation experiment was conducted. The results show that the proposed …
Critical Node Identification Method For Unmanned Aerial Vehicle Cluster Considering Localized Features, Chenglong Shi, Xiang Hua, Dong Wang, Jinjin Zhang, Tianqi Jiang, Yuanzhang Dang
Critical Node Identification Method For Unmanned Aerial Vehicle Cluster Considering Localized Features, Chenglong Shi, Xiang Hua, Dong Wang, Jinjin Zhang, Tianqi Jiang, Yuanzhang Dang
Journal of System Simulation
Abstract: Aiming at the problem that the UAV cluster critical node identification methods focus on the global network and ignore the correlation between nodes and their local features, a critical nodes identification method for unmanned aerial vehicle cluster considering local features is proposed. An unmanned aerial vehicle cluster network model is constructed based on complex network theory. The Laplacian energy is introduced to evaluate the importance of node within two hops, and information entropy is combined to evaluate the importance of node in a specific motif to comprehensive identify the critical nodes. Simulation results demonstrate that this method identifies critical …
Optimization Of Urban Agglomeration Transportation Network Evacuation Paths, Bowei He, Chengbing Li, Shida Nie, Jialin Wang
Optimization Of Urban Agglomeration Transportation Network Evacuation Paths, Bowei He, Chengbing Li, Shida Nie, Jialin Wang
Journal of System Simulation
Abstract: Given the complexity of the internal transportation network structure within urban agglomerations and the presence of numerous alternative routes, this paper proposes an enhanced ant colony algorithm to address the evacuation path problem of urban agglomeration transportation networks. A comprehensive urban agglomeration transportation network model is constructed, in which the issue of virtual transfer edges within the urban scope is considered and a weighting function is constructed taking into account the travelling time cost and the transferring time cost. Optimizations are applied to the ant colony algorithm, constructing an adaptive adjustment of state transitions and an information pheromone update …
A Threat Assessment Method In Uncertain Dynamic Environments, Mei Yang, Bingkun Wang, Zhongjie Zhang, Yan Zeng, Jian Huang
A Threat Assessment Method In Uncertain Dynamic Environments, Mei Yang, Bingkun Wang, Zhongjie Zhang, Yan Zeng, Jian Huang
Journal of System Simulation
Abstract: A threat assessment method based on priori information and dynamic observation results is studied for the existence of dynamic uncertainty in complex war systems. The data mining is applied to obtain prior knowledge on the battlefield situation and construct an equipment-related confidence matrix. The sensor model is constructed to dynamically update the number of blue-side entities under the current situation by using the Bayesian method and considering both intelligence and observation results. The threat evaluation indicators and their weights are determined, and the TOPSIS method is used to finish the threat assessment. This method can well describe the complex …
Research On Adaptive Scheduling Of Single-Arm Cluster Tools For Throughput Ratio Of Multiple Wafer Types With Concurrent Processing, Chunrong Pan, Yu Cui, Wenqing Xiong, Hao Zhou, Jiliang Luo
Research On Adaptive Scheduling Of Single-Arm Cluster Tools For Throughput Ratio Of Multiple Wafer Types With Concurrent Processing, Chunrong Pan, Yu Cui, Wenqing Xiong, Hao Zhou, Jiliang Luo
Journal of System Simulation
Abstract: Concurrent processing makes the wafer fabrication process prone to deadlocks and completion node ambiguity. A Petri net model is established to describe the system operation process by taking for the single-arm cluster tools for fully parallel processing of two wafer types as the research object, and a control strategy is developed to avoid the system deadlock. Based on the Petri net model, the temporal properties of the system is analyzed based on earliest starting strategy, and the action cycle sequence of robot is determined during the monitoring cycle for different scenarios of lot switching in a single production monitoring …
Research On Latent Space-Based Anime Face Style Transfer And Editing Techniques, Haixin Deng, Fengquan Zhang, Nan Wang, Wancai Zhang, Jierui Lei
Research On Latent Space-Based Anime Face Style Transfer And Editing Techniques, Haixin Deng, Fengquan Zhang, Nan Wang, Wancai Zhang, Jierui Lei
Journal of System Simulation
Abstract: To address issues such as image distortion and style uniformity in existing anime style transfer networks within the field of image simulation, we propose the TGFE-TrebleStyleGAN (textguided facial editing with TrebleStyleGAN) for anime facial style transfer and editing. This framework leverages vector guidance within the latent space to generate facial imagery and incorporates a detail control module and a feature control module to constrain the aesthetic attributes of the generated images. The images generated by the transfer network serve as style control signals and constraints for fine-grained segmentation. Text-to-image generation technology captures correlations between styletransferred images and semantic information. …