Energy-efficient and reliable dual closed-loop DC control system for intelligent electric vehicle charging infrastructure. by Jun Li, Wan Chen, Xiaoqiong Zhu, Baoguo Zang, Cong Zhang, Hengxiao Hu, Ming Zhang, Wenbao Lei

“…These results surpass those of wireless charging technology and bidirectional DC-DC converters, demonstrating the system's superiority in key performance metrics. …”
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Encrypted traffic identification method based on deep residual capsule network with attention mechanism by Guozhen SHI, Kunyang LI, Yao LIU, Yongjian YANG

“…With the improvement of users’ security awareness and the development of encryption technology, encrypted traffic has become an important part of network traffic, and identifying encrypted traffic has become an important part of network traffic supervision.The encrypted traffic identification method based on the traditional deep learning model has problems such as poor effect and long model training time.To address these problems, the encrypted traffic identification method based on a deep residual capsule network (DRCN) was proposed.However, the original capsule network was stacked in the form of full connection, which lead to a small model coupling coefficient and it was impossible to build a deep network model.The DRCN model adopted the dynamic routing algorithm based on the three-dimensional convolutional algorithm (3DCNN) instead of the fully-connected dynamic routing algorithm, to reduce the parameters passed between each capsule layer, decrease the complexity of operations, and then build the deep capsule network to improve the accuracy and efficiency of recognition.The channel attention mechanism was introduced to assign different weights to different features, and then the influence of useless features on the recognition results was reduced.The introduction of the residual network into the capsule network layer and the construction of the residual capsule network module alleviated the gradient disappearance problem of the deep capsule network.In terms of data pre-processing, the first 784byte of the intercepted packets was converted into images as input of the DRCN model, to avoid manual feature extraction and reduce the labor cost of encrypted traffic recognition.The experimental results on the ISCXVPN2016 dataset show that the accuracy of the DRCN model is improved by 5.54% and the training time of the model is reduced by 232s compared with the BLSTM model with the best performance.In addition, the accuracy of the DRCN model reaches 94.3% on the small dataset.The above experimental results prove that the proposed recognition scheme has high recognition rate, good performance and applicability.…”
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Macroscopic Modeling of On-Street and Garage Parking: Impact on Traffic Performance by Manuel Jakob, Monica Menendez

“…Our model provides a preliminary idea for city councils regarding the short-term impacts of on-street and garage parking policies (e.g., converting on-street parking to garage parking spaces, availability of garage usage information to all drivers) and parking pricing policies on: searching-for-parking traffic (cruising), the congestion in the network (traffic performance), the total driven distance (environmental impact), as well as the revenue created for the city by the hourly on-street and garage parking fee rates. …”
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Data Augmentation-Based Enhancement for Efficient Network Traffic Classification by Chang-Yui Shin, Yang-Seo Choi, Myung-Sup Kim

“…Using the first packet, we converted packet headers and encrypted partial payloads into tabular data through a standardized format. …”
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Comparative Analysis of YOLOv8 and HSV Methods for Traffic Density Measurement by Prof. I Gede Pasek Suta Wijaya, Muhamad Nizam Azmi, Ario Yudo Husodo

“…The HSV method involves converting images to the HSV color space, creating masks for specific areas, and measuring traffic density based on the asphalt area. …”
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Black Soldier Fly (Hermetia illucens L.) Larval Development as Affected by Different Substrates by Septer Sucdad

“…With the rising demand for sustainable protein sources and effective waste management solutions, Black Soldier Fly (BSF) larvae (Hermetia illucens) have gained attention for their ability to convert organic waste into high-protein biomass. This study investigates the effects of different organic substrates on the growth and nutritional quality of BSF larvae, aiming to identify optimal substrate types for enhancing protein production and supporting sustainable waste management. …”
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Improve Quality Factor by Using DWDM Technology for Long Distances and Different Power Levels by Mariam lazem, Ali Mahdi Hammadi, Ali Al-Askery

“… In optical fiber communications, data travels from the transmitter to the receiver, where it is collected and converted from optical pulses into electrical signals. …”
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The Maize Corngrass1 miRNA-Regulated Developmental Alterations Are Restored by a Bacterial ADP-Glucose Pyrophosphorylase in Transgenic Tobacco by Ayalew Ligaba-Osena, Kay DiMarco, Tom L. Richard, Bertrand Hankoua

“…Alternative feedstocks could fill this gap if they can be converted to biofuels using current sugar- or starch-to-ethanol technologies. …”
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Investigating the impact of Multiwalled Carbon Nanotubes exposure on enzymatic activities and histopathological variations in Swiss albino mice by Iqra Nasim, Nadia Ghani, Rab Nawaz, Emilio Mateev, Yousef A. Bin Jardan

“…An enzyme-linked immunosorbent test (ELISA) was used to measure many enzyme assays, such as Angiotensin Converting Enzymes (ACE), Alanine Aminotransferase (ALT), Aspartate Aminotransferase (AST), and Nicotinamide Adenine Dinucleotide Phosphate (NADPH) oxidase enzyme. …”
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CONTACT STRENGTH ANALYSIS OF FINGER SEAL CONSIDERING THERMAL EFFECT by ZHANG YanChao, JIAO Dandan, WU LuJi, ZHAO Rui, CUI YaHui, RAN BaoChun, WANG Wei

“…Therefore,based on the actual working conditions,converting the friction heat to the heat flux density boundary condition,considering working temperature,a coupled thermal structural analysis model of the finger seal system is built,and the influence of thermal effect on the contact strength of the finger seal/rotor pair is studied,then it verified by tests. …”
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Posterior Reversible Encephalopathy Syndrome as Presenting Form of Very Early Systemic Sclerosis by María Isabel Pedraza, Julia Barbado, Marina Ruiz, Ángel Luis Guerrero

“…BP was controlled with angiotensin-converting-enzyme inhibitors and headache improved. …”
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Adsorption of Cu(II) Ions onto a Cellulosic Biosorbent, Leaf Powder: Application in Water Treatment by Krishna Gopal Bhattacharyya, Arunima Sarma, Jyotirekha Sarma

“…In the present work, Azadirachta indica (neem) leaves were converted to a powder for use in the separation of Cu(II) ions from water. …”
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Optimization and loss estimation in energy-deficient polygeneration systems: A case study of Pakistan's utilities with integrated renewable energy by Muhammad Shoaib Saleem, Naeem Abas

“…The polygeneration system converts surplus renewable energy into 5,000–7,000 kg of hydrogen for efficient storage and future electricity use, supporting sustainable energy needs.…”
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Scenario-aware access control model by Dibin SHAN, Xuehui DU, Wenjuan WANG, Na WANG, Aodi LIU

“…Dynamic access control model is the theoretical basis for constructing a dynamic access control system for big data.However, most existing access control models can only fulfill dynamic access control in a single scenario and are unable to adapt to access control in multiple types of dynamic scenarios.These scenarios include changes in the contextual environment of big data, changes in entity relationships, and changes in the state of objects.To address these issues, an analysis was conducted based on the research of existing access control models and the dynamic factors of big data.Subsequently, scenario-aware access control (SAAC) model was proposed, which was based on dynamic factor conversion and scenario unified modeling.All types of dynamic factors were converted into basic elements such as attributes and relationships.Then, scene information was incorporated to model the various types of constituent elements in a unified manner.A big data dynamic access control model was constructed based on scene information to support multi-type dynamic factors and extended dynamic factors.The working framework of the SAAC model was designed, and the SAAC rule learning algorithm and SAAC rule execution algorithm were proposed corresponding to the workflow of the framework.This enabled the automatic learning of access control rules and dynamic access control decision-making.The security of the proposed model was analyzed and verified by introducing the non-transitive non-interference theory.To validate the effectiveness of the access control policy mining method of the proposed model, experimental comparisons were conducted between the SAAC model and baseline models such as ABAC-L, PBAC-X, DTRM, and FB-CAAC using four datasets.The experimental results demonstrate that the SAAC model and its strategy mining method outperforms the baseline models in terms of metrics such as area under the curve AUC, monotonicity, and steepness of the ROC curve.This verification confirms that the proposed model can support multiple types of dynamic factors and dynamic factor extensions, and that the combined effect of the access control rules obtained from its mining algorithm is relatively high.…”
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Synthetic Network and Search Filter Algorithm in English Oral Duplicate Correction Map by Xiaojun Chen

“…The algorithm is mainly based on the self-built English oral category classification dictionary and converts the user’s query vector into a user-English-speaking type vector. …”
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Sewage sludge composting in a rotary drum reactor: stability and kinetic analysis by Ashish Kumar Nayak, Ajay S. Kalamdhad

“…Background Composting is one of the sustainable practices to convert sewage sludge into useful agricultural product because it is rich in organic matter, micro- and macronutrients, which is essential for plants growth and soil fauna to live. …”
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Voltage and Current Balancing of a Faulty Photovoltaic System Connected to Cascaded H-Bridge Multilevel Inverter by Kamel Djermouni, Ali Berboucha, Salah Tamalouzt, Djamel Ziane

“…In this context, the results of conducted studies propose two approaches to balance and maximize the power supplied by the photovoltaic generator and converters. In addition, the presence of a battery storage system plays dual roles: firstly, compensating the power fluctuations due to nonuniform operating conditions between phases, and secondly, ensuring system power supply during periods of no sunlight exposure. …”
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Study about the Expression of CypA Proteins and Its Blocking Effect in the Cerebellum from FMR1 Gene Knockout Mice by Electroacupuncture of DU1 Acupoint by Dong LIN, Wanping BU, Xiaoting YANG

“…The relative protein expression of the DU1 acupoint group with blocking can be converted by PD98059.Conclusion:Acupuncture on DU1 acupoint can promote the expression of CypA-ERK1/2 pathway related proteins in the cerebellar region of FMR1 gene KO mice, and this effection can be broken off by the blocker PD98059.…”
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Performance Assessment of Ultrascaled Vacuum Gate Dielectric MoS₂ Field-Effect Transistors: Avoiding Oxide Instabilities in Radiation Environments by Khalil Tamersit, Abdellah Kouzou, José Rodriguez, Mohamed Abdelrahem

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Modeling, Analysis, and Implementation of Series-Series Compensated Inductive Coupled Power Transfer (ICPT) System for an Electric Vehicle by Moustapha Elwalaty, Mohamed Jemli, Hechmi Ben Azza

“…In addition, this paper gives an equivalent electrical circuit of the DC-DC converter for WPT and comprises some basic components, which include the H-bridge inverter, inductive coupling transformer, filter, and rectifier. …”
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