bluuebunny/crossref_metadata_2025 huggingface dataset:
Stepped ohmic structure of AlGaN/GaN HEMT with lower off-state leakage current
Authors: Li Gen , Wu Yang , Ma Lingmei , Lin Haofeng , Qian Rong , Wu Liang
Published: August 2024

Utilizing the TCAD-ATLAS platform, we performed accurate fitting of the electrical characteristics of GaN HEMT devices, achieving a fitting error of less than 5%. Building upon this parameter fitting, we introduced a stepped ohmic structure and compared it with the conventional rectangular structure. The findings highlight the significant impact of the ohmic structure on the off-state drain leakage current of the device. Through the implementation of the stepped ohmic structure, a remarkable reduction in the off-state leakage current was achieved. Specifically, the off-state leakage current decreased by three orders of magnitude, declining from 10−5 mA/mm to 10−8 mA/mm. Importantly, this improvement in leakage current was accomplished without adversely affecting the device’s output characteristics. These results underscore the effectiveness of the stepped ohmic structure in enhancing the overall performance of GaN HEMT devices.
Unrepeatered transmission of single-carrier 800 Gb/s over 447.96 km with simplified third-order ROPA system
Authors: Li Shuheng , Long Han , Huang Liyan , Huang Chao , Wu Jianjun , Liang Yudong , Duan Mingxiong , Chen Fangzheng , Wang Wenzhong
Published: August 2024

To achieve the longest distance of 800 Gb/s unrepeatered transmission, we use commercial 800 Gb/s transceivers with soft-decision FEC, optimized high-order Raman pumps, and enhanced bidirectional ROPA with third-order Raman pumping in this experiment to optimize system performance. Two types of G.654E fibers are also fully characterized and used as span fibers. The improvement of transmission distance is mainly due to the remote pump power for RGU can be increased by nearly 4 dB in G.654E fiber by the third-order Raman pumping. At last, a single 800 Gb/s channel is transmitted over 447.96 km with a span loss of 73.16 dB. As far as we know, this is the longest 800 Gb/s unrepeatered transmission distance ever reported.
QoS-Oriented uplink OFDMA random access for the next-gen WLAN
Authors: Sun Kexin , Xie Gang , Liu Yunbo
Published: August 2024

OFDMA, introduced by the IEEE 802.11ax standard, divides the channel into multiple resource units (RUs), enabling parallel access for multiple users. On this basis, we propose a QoS-oriented double arbitration random access (Q-DARA) scheme. This scheme ensures high-priority priority access through priority arbitration in the first phase and random code arbitration in the second phase. It can also greatly reduce collisions and effectively guarantee the QoS of high-priority traffic. Simulation shows that our proposed scheme has better performance on throughput and latency. Compared to the traditional EDCA, the throughput and latency increase by more than 70%. Compared to the PATB scheme, the throughput increases by about 20%, and the latency increases by about 23%. Moreover, our proposed scheme has almost no changes to the protocol and is suitable for 802.11ax and beyond.
Secure physical layer transport strategies in mobile edge computing
Authors: Wang Yijun , Lv Jingying , Qiao Shixia
Published: August 2024

In the past, mobile edge computing faced problems such as information leakage and eavesdropping during offloading of computing resources. To bolster the comprehensive security of the mobile edge computing system, a physical layer secure transmission strategy in mobile edge computing is proposed. First, a drone-mobile edge computing system is studied, which consists of M legitimate drones, N user devices, and K eavesdropping drones. Second, a multi-intelligence deep deterministic policy gradient algorithm is used to optimize the flight path, transmit power, and offloading ratio of the legitimate UAVs in combination with a prioritized empirical replay mechanism. Finally, under the premise of guaranteeing offloading, it realizes that the user’s confidential information is not stolen by eavesdroppers, safeguards the overall security of the system, and maximizes the efficiency of security computing. In this paper, the proposed algorithm enhances security transmission efficiency by 50% compared to other benchmark schemes. This demonstrates that the algorithm is effective.
FPGA-based point-controlled OFDM transmission system design
Authors: Hua Xueyong , Quan Baoxuan
Published: August 2024

We proposed a low-overhead point-controlled multiple-access protocol. This protocol establishes a new frame structure and transmission rules, which avoids transmission conflict and reduces transmission overhead. The protocol is integrated into an OFDM communication system based on FPGA. The experiment shows that the scheme is feasible and reliable and effectively improves the transmission efficiency and level.
Research on differential data fusion processing method for dual GNSS base stations
Authors: Huang Tushun , Chang Wei , Hu Bin , Li Gang
Published: August 2024

In the differential processing of global navigation and positioning system (GNSS) trajectory data from dual base stations, a hierarchical fusion processing method is proposed based on the trajectory parameter layer for two trajectory parameters generated by the different dual base stations according to the distribution pattern. Trajectory segment that satisfies the differential baseline of a priori data accuracy are given high weight to prioritize for fusion, and the portion exceeding the maximum differential baseline distance is weighted fusion according to the sliding window plus polynomial fitting to determine the weighted coefficients. By practical testing, the statistical residuals of the weighted fusion trajectory in the horizontal and vertical directions reduced by 32.83% and 30.19% respectively compared to the unfused trajectory.
The Impact of Incorporating Varying Proportions of Sugar Beet Waste on the Combustion Process and Emissions in Industrial Burner Fuelled with Conventional Diesel Fuel
Authors: Elkelawy M , Bastawissi H A , Abdel-Rahman AK , Abou-elyazied A , El-malla S
Published: August 2024

The main objective of the case study is to investigate the effectiveness of using solid fuel additives in conventional diesel fuel for industrial furnaces. The study focuses on utilizing agricultural waste derived from sugar beet plant waste as additives to enhance the combustion process and reduce emissions from industrial burners. In this study, experimental measurent for the flame temperatures inside the furnace while altering the proportions of the solid materials have ben achived. The goal was to assess the impact of different loading from these additives on the combustionprocess. Furthermore, the study involved measuring exhaust gases such as carbon monoxide (CO), carbon dioxide (CO2), unburned hydrocarbon (UH), and nitrogen oxides (NOx). The experimental facility arranment allowed the researchers to evaluate the emissions resulting from the combustion process with the addition of solid fuel additives. By measuring these parameters, the study aimed to understand the effect of utilizing agricultural waste as additives on the burning processes and emission formation in industrial furnaces. These findings can contribute to improving the efficiency of combustion processes, reducing emissions, and promoting the utilization of renewable and sustainable fuel sources in industrial settings. In this study, varying the proportions of solid materials used as additives had an impact on the levels of carbon monoxide (CO), carbon dioxide (CO2), and nitrogen oxides (NOx) in the exhaust gases. By increasing the proportion of solid materials in the fuel mixture resulted in changes in the emission levels. The levels of carbon monoxide in the exhaust gases decreased as the proportion of solid materials increased. While the addition of solid fuel additives did contribute to the production of CO2 due to the combustion of the additives, the overall effect on its levels varied depending on the specific proportions used. Also, the levels of nitrogen oxides in the exhaust gases showed different trends depending on the proportions of solid materials used. Typically, increasing the proportion of solid fuel additives led to reduce NOx emissions. However, this may also depend on other factors such as combustion temperature and the composition of the solid materials.
Performance and Emission Characterization of a High-Injection Pressure Common Rail Diesel Engine Fueled by Blended Diesel and TiO2 Nanoparticles.
Authors: Moaayet Sayed , Neseem Waleed , Amin Mohamed I. , Shahin M.
Published: August 2024

How to increase engine power and reduce fuel consumption and emission is an important target that engine designers try to achieve it. One of the most promising approaches to realise this goal is adding nano additives to fuel. Titanium dioxide (TiO2) blended with biofuels get wide studies by researchers using conventional diesel engines at different operating regimes. This work aims to prolong these investigations using diesel fuel, rather than biofuels, on a high injection pressure (1400 – 1600 bar) common rail diesel engine at wide operating conditions and different TiO2 concentrations. Experimental outcomes show an increase in peak cylinder pressure up to 8.51% than pure diesel when using 100 ppm TiO2 concentration. Also, BSFC has been decreased by 36%, and BTE increased by 48% compared to pure diesel at high speeds and loads. NOx and CO2 emissions raised by 35.3% and 40.3% respectively, while CO emissions decreased by 35%. These results could be a reason for further studies for TiO2 using different sizes, at wider engine regimes and mixture strengths.
Prediction of defects in deep drawn rectangular parts using Finite Element Analysis (FEA) and Response Surface Methodology (RSM)
Authors: Semman M. M. , Shazly Mostafa , Gadallah Mohamed H. , Mohamed Tamer A. , Wifi Abdallah S.
Published: August 2024

Deep drawing defects such as thinning and earing present challenges to sheet metal forming industry while designers tend to favour the usage of new materials and production processes. The present work introduces an integrated approach using Design of Experiment, FEA experimentation and RSM to study the effect of deep drawing process parameters and resulting defects associated with sheet metal forming processes such as thinning and earing particularly in deep drawing of non-circular parts. The Design of Experiment (DoE) is used to generate a series of experiments for different process parameters in deep drawn rectangular products which are then simulated using Simulia 2022, a finite element package. The results are then fed to statistical analysis software, Design Expert 12.0, to develop regression equations that predict minimum sheet thickness and earing defects using RSM. FE models for deep drawing of different products have been built and results have been verified through comparisons with published data. Critical process parameters were selected for investigation in the present work. Based on the results of these experiments, a two-level design of experiment is conduct to generate 64 FE experiments. The relationships between these parameters and minimum sheet thickness after drawing and earing defects are then obtained using RSM. Optimum values of different parameters are obtained for maximum sheet thickness after drawing and minimum earing.
Frontal bumper beam of automobile vehicle analysis by using different materials
Authors: Mysarh A M , shamekh M , Abdelshafy M H
Published: August 2024

An automotive bumper is a key component designed to protect passengers from front and rear collisions. Bumpers serve a crucial function in absorbing collision forces to protect both the vehicle and its occupants. The ABAQUS/Explicit code is used to investigate the influence of the bumper beam parameters on their impact resistance. Eight materials (4 metallic and 4 composite) were compared to see how material modifications would improve outcomes and determine the optimal bumper beam material. Four bumper designs (profile-A, profile-B, profile-C, and profile-D) were compared to see how design adjustments would improve outcomes and discover the optimum bumper beam configuration.
Physical, structural and mechanical characterization of Fe-10wt. %Ni-5wt. %Cu alloys manufactured by powder metallurgy (P/M) technology
Authors: Herzallah H. , Shamekh M. , Elthalabawy W.
Published: August 2024

Porosity of alloys produced by powder metallurgy remarkably reduces their strength. This study characterizes the effect of addition of 10wt%Ni and 5wt%Cu particles to Fe powder performing an Iron base alloy using P/M technique. The microstructure of the alloy was investigated using scanning electron microscope (SEM) equipped with energy dispersive X-ray spectroscopy (EDS). The relative density of the alloy fabricated at different parameters was investigated. Microstructural characterization of the alloy shows a low porosity and existence of spheroid oxide particles. Also EDS elemental analysis reveals a uniform distribution of Ni and Cu within the Fe matrix. In addition, the results reveal that the relative density and hardness increase with increasing the fabrication parameters; pressure and sintering temperature when the time is kept constant and their maximum values were obtained when that alloy fabricated at compaction pressure 700 MPa and sintering temperature 1200°C for 90 min.
Investigation of the factors affecting the heat transfer mechanism of the centrifugal material casting
Authors: Gomaa Kamal
Published: August 2024

The material casting by centrifugal technique has several potential advantages over the traditional casting methods such as; time saving, accurate dimensions, good surface finishing, purities, faster solidification, and porosity. The heat transfer mechanisms of the centrifugal material casting technique is presently investigated because of its great influences in the productivity, facilities life and production energy of that technique. Consequently, the current study provides a semi-comprehensive analytical and experimental investigation for the heat transfer mechanisms of the centrifugal material casting. The present work shows that the thermophysical properties of the casting material, the rotational speeds of the centrifugal mold and the types of the centrifugal technique have deeply affected the centrifugal heat transfer mechanism. Eventually, the developing and improving the cooling systems of the centrifugal molds are indeed needs due to modify the material casting by centrifugal techniques.
Product platform design for minimum cost in mass customization manufacturing environment
Authors: Ismail T , Saeed Ahmed , Elkharbotly A , Zamzam N
Published: August 2024

Nowadays manufacturers are facing several challenges to compete in the marketplace. One of the main challenges can be described by the need to offer a range of products and categories in addition to shortening the time during which the product is brought to the customer while maintaining low costs to achieve maximum profitability. Several approaches emerged during the past couple of decades that enabled designers and manufacturers to offer the product variety within a product family on one hand and allowing flexibility and responsiveness at the manufacturer’s side on the other hand. This study addressed the problem of product platform design with the objective of minimizing the manufacturing costs incurred in the platform manufacturing phase and the mass customization phase. A genetic algorithm model that minimizes the total manufacturing cost is developed where optimum product platform design is determined. The developed model is used to study the effect of demand proportion of different product variants within a product family on the platform design and the total manufacturing cost.
Suitability of Hybrid Passenger Vehicles in Metropolitan Cities: A Study of Paris and Cairo Using Toyota Prius
Authors: Elnabawy Eslam S. , Ali Ahmed M. , Asfoor Mostafa Sh.
Published: August 2024

Hybrid electric vehicles (HEVs) reduce metropolitan city air pollution and traffic congestion. This paper evaluates the performance of the Toyota Prius, a passenger HEV model, in Paris and Cairo, using driving cycle data incorporated in the validated digital tool (Advanced Vehicle Simulator - ADVISOR ). The paper compares exhaust gas emissions and fuel consumption of the selected HEV in those two cities. The results show a reduction in exhaust gas emissions and fuel consumption in Paris than in Cairo and a significant reduction in greenhouse gas emissions. The paper suggests that the HEV Toyota Prius is a suitable and sustainable solution for urban transportation in metropolitan cities.
Design of new anti-vibration gloves for workers: ongoing research and preliminary results
Authors: Elsheikh Mogeeb A. , Ali Abduelaziz Nawal
Published: August 2024

Powered hand-held tools such as drillers, chainsaws, blowers, etc. cause hand-arm vibration syndrome. Common anti-vibration gloves cannot attenuate the vibrations at low frequencies and satisfy workers due to a lack of dexterity and grip strength. Therefore, the study presents a new glove based on an absorber to reduce vibration transmission at low frequencies. The new gloves and the passive absorbers are affordable and made of simple components, rubber rods, and violin strings with different sizes are the base of the used absorbers to attenuate the range of working frequencies. To predict the effectiveness of the fabricated gloves, the study performed experiments using non-expensive tools. A smartphone and a credible Android application (IDynamics) are utilized to measure the response in the wrist when using an air blower 450 W in specific working conditions. Additionally, the study builds a simple test rig to carry out the effect of the new gloves on the dexterity. Accordingly, the suggested low-cost gloves achieve a 50% acceleration reduction at the wrist approximately to the bare hand or any current anti-vibration gloves that are specified for the higher frequencies only.
Enhancement of Energy Harvesting PTO Against Nonlinear Waves Using Control System
Authors: Farag M M Diaa El-Din H , Shehab Ali
Published: August 2024

Many systems include turbines, linear electromagnetic or hydroelectric components, as well as wave energy converters designed particularly for energy harvesting from ocean and sea waves. While each of these methods has its merits, it is also feasible to harvest a considerable quantity of energy generated by the sea and ocean waves. Wave energy is considered a renewable and ecologically friendly energy source. It is harvested through wave energy converters and is particularly useful to coastal nations. In this paper, a mechanical motion rectifier (MMR) is proposed to convert the bidirectional reciprocating movement of a floating body above the nonlinear wave into a rotating movement in one direction. Experimental investigations are carried out to examine the performance of the system. An experimental wave tank was built to produce nonlinear waves by controlled flapper motion. Mechanical and electrical efficiency were investigated for both systems. Through the use of a generator, the energy can be taken in the form of electrical energy and stored in appropriate batteries, resulting in clean and sustainable energy from the sea’s waves.
Numerical Estimation of Hydrostatic and Hydrodynamic Forces of Spar Type Offshore Wind Turbines
Authors: Magdy M. , Bennaya Mohamed , Salem A.M. , Omar Hossam A.
Published: August 2024

The focal point revolves around Floating Offshore Wind Turbines (FOWT) due to fossil fuel leakage. Numerical simulation tools have been developed to simulate the operational dynamics of FOWT under different wave conditions.In this study,a numerical approach is proposed to investigate FOWT using ANSYS-AQWA a commercial soft wares uses potential theory that employs the boundary element method to obtain the added mass, radiation damping and diffraction in three translational degrees of freedom (surge,sway,heave).in this study considers. This paper compares two numerical approaches for studying offshore structures. The first approach was conducted using WAMIT, and in this work, a verification of the with the well known Spar offshore wind turbine OC3 will be introduced. The heave response of FOWT will be considered in regular waves. Response Amplitude Operator (RAO) is considered in Heave Motion. The simulation achieves high accuracy with minimal errors, and its processing time is significantly shorter compared to CFD simulations.
Predicting Forces in the Components of the Human Upper Limb through Multibody Dynamics and Optimization Techniques
Authors: Alhulaifi Taha , Awad Taher H , Mohamed Khaled T
Published: August 2024

An accurate model of the human upper limb is crucial for various applications, including prosthetic development, optimizing ergonomics, and rehabilitation. The novelty of this research is to obtain a model that predicts the forces of muscles, ligaments, and joint reactions under any loading conditions, thereby enabling the prediction of musculoskeletal forces during different daily activities. For this, a multibody three-dimensional dynamic model of the human upper limb is presented to study the upper limb musculoskeletal system. The model comprises 35 muscle elements, 11 ligaments, and 7 joints. Thirty equations of motion with 73 unknowns were obtained using Newton’s second law of motion. The Ariel Performance Analysis System (APAS) was utilized to record and analyze the motion of 16 bony landmarks using 8 digital video cameras with a sampling rate of 100 frames per second. The genetic algorithm (GA) and particle swarm optimization (PSO) are used to solve the redundant force problem of the model. The GA and PSO are implemented with two distinct objective functions; the first is the sum of the squared muscles’ stresses. The second one is the sum of the muscles’ energy consumption. The model was validated through EMG recordings of eight superficial muscles and with the available data in the literature. The results show that the inclusion of the ligaments at the GH and elbow joints in addition to the trapezoid and conoid ligaments in the model led to a more precise prediction of the muscles’ force. The PSO shows more accuracy and smoothness of the predicted muscles’ force, despite the GA taking more running time and requiring significant memory resources. The model also revealed that there is no great difference in the predicted muscles’ force when using any of the two cost functions.
Black-box modeling of PMSG-based wind energy conversion systems based on neural ODEs
Authors: Huang Zhanhua , Hu Ran , Ma Nan , Li Bing , Chen Chen , Guo Qiangqiang , Cheng Wuping , Pan Chunpeng
Published: August 2024

Integrating renewable energy sources like wind power into the power grid enhances the dynamic interactions among renewable energy-producing equipment, leading to new technological issues for the power grid. Modeling and simulation are essential to ensure the stability of the emerging power grid, but they require precise dynamic component modeling, which is often unavailable due to technical confidentiality and other factors. Conventional hardware-in-the-loop (HIL) simulation can accurately simulate the dynamics of a single renewable energy device, but not the complex dynamics of multiple devices. This research introduces a method that combines classical mechanism modeling and differential neural network modeling to create accurate wind turbine models utilizing equipment measurement data or HIL simulation data. A realistic wind turbine electromagnetic transient simulation model of a specific type is developed and validated by connecting it to the IEEE-39 node system, confirming the model’s accuracy.
The effect assessment of wind turbine capacity on offshore wind power generation potential in guangdong
Authors: Gao Yanna , Zhang Jixiang , Dong Hong , Hu Liujun , Lin Zihan , Zeng Fanhong , Gao Yuqun , Cheng Zhi , Wang Zhihui , Xu Liangde
Published: August 2024

The installed capacity of offshore wind power directly impacts the number of turbines and the total electricity generation. This study uses wind speed and offshore wind power planning data, and Guangdong Province is a case study. Three scenarios are set (7.5 MW, 9.5 MW, and 15 MW) to explore the influence of turbine installed capacity on electricity generation. The results indicate that when the turbine capacity is 9.5 MW, it generates the highest electricity, which accounts for approximately 162718.9 GWh per year.
The optimization and dispatch of regional multi-energy complementary power system in green certificate Trading - Carbon emission trading
Authors: Xin Cheng , Wang Shuo , Wang Xinyu , Ke Ye , Liu Bing , Yao Fan
Published: August 2024

This proposal of the “double carbon” goal underscores the pressing need to reduce carbon emissions. To address this issue, the utilization of an optimal scheduling model for an integrated multi-energy complementary system, comprising wind, solar storage, and thermal power generation, is proposed. Two renewable energy generating units, wind and photovoltaic power, cooperate with thermal power units to generate electricity to meet urban base load requirements. Energy storage units compensate for the instability of power generation from renewable energy units. To significantly decrease system carbon emissions, a green certificate trading-carbon emission trading system is introduced. The carbon emission reduction facilitated by the green certificate can offset a portion of the carbon emissions, and the quantities of tradable green certificates and carbon emissions in their respective markets are adjusted accordingly. This model aims to maximize the system’s comprehensive operating earnings while considering the low-carbon economy aspect. The proposed model undergoes simulation analysis, and the results demonstrate its reasonableness and efficacy in terms of carbon reduction and economic viability.
Study on wind power prediction based on improved double wavelet transform and quantile regression forest
Authors: Huang Wenhui , Chen Ling
Published: August 2024

The random fluctuation of a wind power system will bring significant challenges to its stable operation when connected to the grid[1]. To reduce the impact of microgrid wind power integration on electric power systems and in response to the certain prediction inaccuracy of BP, LSSVM, and ARIMA-based prediction models in case of rapid fluctuation of actual power, a method of decomposing the original wind power sequence into several characteristic subcomponents through the improved double wavelet transform algorithm was proposed in this study to weaken the fluctuation of the wind power sequence. Specifically, a short-term wind power probability density prediction model based on the improved double wavelet algorithm and quantile regression method was established. Then, the original wind power sequence was decomposed into a series of components with different frequencies using the double wavelet transform method. Suitable components were chosen to construct a QRF prediction model to acquire the prediction results.
Multi-rate measurement fusion for power system state estimation
Authors: Zhu Jiaming , Gao Wengen
Published: August 2024

In recent years, the estimation of power systems has become increasingly critical. The introduction of Synchronized PMU has significantly enhanced the dynamic estimation capabilities of power systems. However, given the widespread deployment and usage of SCADA systems in the power grid, it is challenging to entirely replace SCADA systems with PMU systems in a short period. Therefore, utilizing a hybrid approach that combines the two systems for power state estimation is of utmost importance. This article achieves the integration of multi-rate and multi-sensor information in the power system by employing predictive interpolation on SCADA to match the sampling rate of PMU. The performance of power grid state estimation surpasses that of a single SCADA deployment.
Research on a short-term forecast of industry load based on PSO-LSTM
Authors: Jiao Dongxiang , He Ruiting , Wang Longyu , Zhang Ru , Zhang Bozhi , Dong Runting
Published: August 2024

Load prediction is crucial to maintaining a stable power grid and encouraging the use of innovative energy types like scenescape energy. The industrial load of a region accounts for a significant proportion of the total load, but the industrial load is difficult to predict due to its large fluctuations and instability. This study proposes a short-term power load prediction model, merging the Particle Swarm Optimization (PSO) algorithm and Long Short-Term Memory (LSTM) neural network. The PSO algorithm fine-tunes the LSTM network’s hyperparameters, which are then implemented on the LSTM layer. The trained model, using real-world datasets, is then tested for accuracy. Our model’s effectiveness is backed by practical examples.
Demand-side energy sharing mechanism with residential energy storage in active distribution networks
Authors: Jin Panlong , Zhou Zongchuan , Che Bin , Feng Xue , Wang Zhiyuan , Li Tengmu
Published: August 2024

With the widespread adoption of distributed new energy and residential energy storage (RES), demand-side users in active distribution networks (ADNs) are transitioning from traditional consumers to prosumers. The flexible resources of demand-side prosumers require an appropriate trading mechanism to achieve optimal resource allocation. A demand-side energy sharing mechanism based on residential energy storage is proposed. Firstly, a trading decision model for prosumer units is established by integrating the charge-discharge utility of RES devices with production-consumption characteristics. Then, a decentralized social welfare maximization energy sharing problem for ADNs is constructed using the Alternating Minimization Algorithm (AMA). Furthermore, a 10-node active distribution network is analyzed as an example. The proposed mechanism can maximize social welfare and increase the adaptation level of new energy from 64.58% to 66.83%.
Anomaly detection of power grid data based on storm cloud platform sliding window
Authors: Liu Shaowei
Published: August 2024

To realize the monitoring and diagnosis of multi-source data in the power industry and meet the real-time processing requirements of the power system, the storm-distributed real-time computing platform is introduced to process the data. On this platform, the streaming data processing model based on a sliding window is deployed to realize the anomaly diagnosis of data flow. By calculating the predicted value of a point and the confidence interval of the predicted value of the point, we can judge whether the actual point is an abnormal value. By testing the data processing capacity of a cluster and a single machine, the experiment shows that in the cluster environment, reasonably setting the component parallelism can improve the throughput of flow computing.
Research on data analysis method of oscillating water column wave energy converters
Authors: Zhang Yaqun , Li Xianhao , Sheng Songwei , Fan Zhaohui , Liu Jingfeng
Published: August 2024

Taking the floating oscillating water column central tube wave energy converters (OWC WECs) as the research goal, the Fourier transform (FFT), and the ensemble empirical mode decomposition method (EEMD) were used to statistically analyze the wave height, motion acceleration, velocity and displacement of the device in the physical model test from the perspective of a frequency domain. Through the Fourier transform, the energy spectrum of the incident wave and the motion of the WEC is obtained, and it is found that the peak frequency of the two is the same, that is, the period is 1.138s, but the peak energy of the former is slightly greater than that of the latter. Through the ensemble empirical mode decomposition method, the 1-8 intrinsic mode functions of the incident wave and the displacement of the device are obtained, which shows that the device efficiently captures the dominant frequency wave in the incident wave, that is, the wave height is 0.0628m, the period is 1.1s, and the motion displacement of the vertical direction obtained by the device is 0.0585mm, and the period is 1.1119s. At the same time, it absorbs low-frequency, long-period reflected waves in the pool. The analysis results of the two methods are highly consistent, and the OWC WEC shows good hydrodynamic performance, with efficient wave trapping ability and fast wave responsability. This paper’s research methods and results provide a basis for the later optimization of the device and a new idea for the data processing method of the WECs.
Study on the impact of large-capacity unit commissioning on the stability of the power grid using EEAC theory
Authors: Wu Haiyan
Published: August 2024

In view of the fact that the commissioning of large-capacity units in areas with weak grids may reduce the transient stability of the system and lead to a decrease in the load capacity of the power grid, this paper analyzes the phenomenon. Combined with the actual situation of a certain power grid, the equal-area rule and the extended equal-area rule are applied in this paper. It is pointed out that in the planning and design of the power grid, factors such as the structure of the sending-end power system, the output of the unit, and the short-circuit capacity of the area should be fully considered, in order to avoid the drop in the transient stability of the power grid due to the structural characteristics of the large machine, large load and small network of the sending end system. Finally, through simulation analysis, it is proposed that the transient stability and splicing load capacity of the regional power grid can be improved by controlling the output of the unit, expanding the main transformer, quickly removing the fault, improving the characteristics of the generator and its excitation regulation system, increasing the terminal voltage and reactive power output of the leading group of units, and cutting the machine.
Tetrahedral core sandwich panels behavior under bending loading
Authors: Antonova O V , Ivanov M V , Mikhailov A A , Kuzmin V A
Published: August 2024

Sandwich panel with complex core structure could be represented as a homogenous panel with anisotropic mechanical properties to describe the behavior at the macro level. Effective physical and mechanical characteristics were determined, representing the body as a homogeneous anisotropic continuum. The results of the numerical analysis of sandwich panels in case of bending were performed using ANSYS software. The effective elastic characteristics analysis for the periodicity cell of a sandwich panel shows that, to describe the stress-strain state of a panel with a similar tetrahedral core at the macro level, in addition to the orthotropic behavior in the panel plane, different elastic behavior occurs under tension and compression.
Control of electroactive shear waves in a piezoelectric waveguide by different surface actions
Authors: Mkrtchyan M H , Avetisyan L V
Published: August 2024

In various cases of electromechanical surface actions, the problems of surface control of the propagation of an electroactive transverse wave in a piezoelectric waveguide (piezoelectric class 6 mm of hexagonal symmetry) are considered. In both problems, one of the surfaces of the piezoelectric waveguide is mechanically free, and an electrical displacement normal to the surface acts. The second surface of the waveguide is firmly clamped and grounded, in one task, or there is a drift of electrons over the surface and there are no mechanical effects, in another task. The formulated initial boundary value problems are solved by the method of Fourier series. True electromechanical fields are built in the form of series of eigenmodes of electroacoustic oscillations in accordance with the harmonics of surface effects.

Analytical and numerical calculations of the control process in cases of surface action are given.
On diagnostics of the properties of functional-gradient composites considering rheology
Authors: Vatulyan A O , Varchenko A A , Yurov V O
Published: August 2024

The solution of inverse problems on determining the variable rheological properties of functional-gradient beams using additional information about the angle of rotation of the end section is presented within the framework of the most used models: Euler–Bernoulli and Timoshenko. Within the framework of the concept of complex modules, nonlinear operator equations are obtained that connect the given and sought functions (instantaneous and long-term module, relaxation time). The solution is based on the linearization method and the formulation of an iterative process, at each step of which it is necessary to solve complex-valued boundary value problems and invert completely continuous operators with complex-valued kernels. Functions reflecting the laws of change in long-term and instantaneous modules have been restored. The results of computational experiments in some special cases are presented.
Creation of an aluminum matrix composite with a core-shell carbide reinforcing phase with improved strength characteristics using selective laser sintering
Authors: Morozov P E , Sidorov Y V , Sufiyarov V S , Yurchuk D V , Semenov B N , Morozov N F
Published: August 2024

The development of methods for printing metal matrix composites with a ceramic reinforcing phase is an urgent task in materials science. The production of new MMCs with dispersed filling in additive technology facesproblems that are difficult to solve within the hardware framework of the method. Our research group proposed the approach to the production of MMCs using ceramic-metal core-shell particles, with a matrix soluble shell. It makes possible to develop a universal sequence of synthetic steps used to introduce reinforcing ceramic particles into an Al matrix. The introduction of metal-layer coated ceramic particles into the metal matrix allows maximal contact during sintering between the matrix and the reinforcing phase due to improved phases wettability. As a result, a technique was developed for printing a composite using selective laser melting based on an Al powder matrix (50 µm) and reinforcing core-shell carbide particles (TiC/Ni) with varying reinforcement degrees and improved strength characteristics.
Application of the finite element method to the endochronic theory of thermoplasticity for isotropic materials in a plane stress state
Authors: Kuvyrkin G N , Rakhimov D R
Published: August 2024

To describe the nonlinear deformation of isotropic materials under non-isothermal loading, it is proposed to use the endochronic theory of thermoplasticity. In this study, the governing equations of this theory are obtained for the general case of loading and for the case of a plane stress state. The calculated dependences of the finite element method in relation to endochronic theory are given, and computational methods of solution are also presented. In the last part of the study, an example of calculating a thin plate under complex loading is considered.
Healing of discontinuities in metal by the strong electromagnetic field treatment
Authors: Kukudzhanov K V
Published: August 2024

The results of a study microstructure of polycrystalline zinc specimens under by short pulses of the high-energy electromagnetic field treatment on them are presented. The aim is to study the possibility of healing micropores and microcracks inside the material during such treatment. The equipment used and the experimental technique are described, the analysis of the experimental data obtained is carried out. Metallographic studies of the zinc microstructure before and after HEEMF treatment confirm the assumption that in the process of such treatment, the decrease in its porosity may occur in the metal and, as a consequence, a significant increase in the ultimate plastic strain before fracture. Investigations of the polycrystalline structure of the metal have shown that the decrease in porosity is not the result of recrystallization.
An experimental research of the influence of the concentrated force application point on the hinge supported beam deflection under the condition of its value constancy in the middle
Authors: Valesyan S Sh , Sahakyan A A
Published: August 2024

An experimental research of the hinge supported beam maximal deflection under the condition of one’s constant value at the middle point subjected to concentrated force is carried. The influence of the force application point on the maximal deflection under the above-mentioned condition is studied. The comparison of experimentally obtained results with the theoretical ones is brought.
Study of readout system for 3He linear position sensitive detectors
Authors: Hua Nan , Gong Hui , Liu Yinong , Wang Xuewu
Published: August 2024

This study introduces a readout system for 3He linear
position-sensitive detectors (LPSDs), tailored for the Small Angle
Neutron Scattering (SANS) spectrometer of the Compact Pulsed Hadron
Source (CPHS) at Tsinghua University. Central to this system is the
employment of a trapezoidal filter as the primary signal shaper,
selected for its enhanced noise filtering capabilities and efficacy
in mitigating ballistic deficit. Additionally, the integration of a
digital CR filter aims to counteract baseline drift within trigger
signals. This innovative architecture underwent validation via
computer programs using experimental data, demonstrating superior
performance in spatial resolution compared to conventional Gaussian
filter-based approaches. Meanwhile, the improvement in spatial
resolution comes with a narrower pulse width, promising a higher
throughput at high count rates. When applied to a 16-tube detector
module, the system achieved an average position resolution of
3.63 mm (FWHM) at the central region and 4.03 mm at the end
regions. Furthermore, with a pusle width of 0.6 μs, the
96-tube detector array is promised to sustain a count rate over
1 Mcps.
Models and methods for transport demand and decarbonisation: a review
Authors: Thomas Hugh , Carmona Aparicio Luis Gabriel , Creutzig Felix , Hara Takuya , Hayashi Ayami , Ludovique Camila , Martinez Luis M , Natsuo Kishimoto Paul , Niamir Leila , Saheb Yamina , Trouvé Mallory
Published: August 2024

Rising global greenhouse gas emissions from the transport sector pose a major challenge to meeting the targets of the Paris Agreement. This raises questions of how technology, infrastructure and societal trends and policies can influence transport demand and thus also emissions, energy demand and service levels. Here, we review the literature on factors relevant to shifting total transport activity and mode shares, categorised into exogenous drivers, socio-behavioural, infrastructural and technological aspects. For each factor, we summarise current approaches to modelling and measuring the impact of each factor on transport systems, resulting in a proposed taxonomy to classify transport demand modelling approaches. We then comment on the suitability and sufficiency of existing modelling approaches for representing scenarios consistent with the Paris Agreement targets in models of the entire global energy system. Factors that affect transport demand are currently insufficiently represented in integrated assessment modelling approaches and thus emission reduction pathways. Improving the comprehension and representation of diverse factors that affect transport demand in global energy systems models, by incorporating features of complementary models with high resolution representations of transport, holds promise for generating well informed policy recommendations. Accordingly, policies could influence the development of the factors themselves and their potential role in mitigating climate change.
Siliciclastic Reservoir Geo-modeling using TGS-SIS hybrid algorithm of the Upper Cibulakan Formation, Offshore Northwest Java Basin
Authors: Renaldi Harlan , Surjono Sugeng S , Winardi Sarju , Dani Setiawan P. K.
Published: August 2024

The Upper Cibulakan is the primary hydrocarbon-producing formation in the Offshore Northwest Jawa area, operated by PHE ONWJ (Pertamina Hulu Energy Offshore Northwest Jawa). The productive interval in this formation comprises alternating sandstone and shale up to 45 feet of thick. Geologically, this interval is a shallow marine deposit with strong influence of tidal in the Ardjuna Sub-Basin, offshore part of Northwest Jawa Basin. The good quality reservoir layer is associated with Tidal Sand Ridges (TSR) facies characterized by lenticular sedimentary structures and the occurrence of shale intercalation in sandstone. The occurrence of shale, regarding its facies association package, varies greatly and significantly determines the quality of the reservoir. The geometry and quantity of facies distribution and association will significantly affect the calculation of hydrocarbon reserves during the modelling processes. Considering this, the selection of modeling methods and algorithms must be carried out appropriately. The use of the SIS (Sequential Indicator Simulation) algorithm in describing the TSR facies distribution still has shortcomings in randomness. Correspondingly, it requires to be combined with the TGS (Truncated Gaussian Simulation) method as it plays a great impact in calculating the distribution of sandstone and reservoir geometry. Meanwhile, SIS defines shale intercalation within TSR facies. Combining these two methods produces a more precise model of TSR facies associations. Besides, the concept of reservoir deposition is easier to explain based on the outcome result from the combined methods.
Discontinuity Measurement for Slope Failure Analysis with Structure from Motion Method Using Drone on A Slope in Hargowilis, Kokap District, Kulon Progo Regency, D.I. Yogyakarta Province
Authors: Pieter Chandra A.W , Setianto Agung , Gde Budi Indrawan I
Published: August 2024

The measurement of the discontinuity area is one of the important data to determine the slope failure kinematics. Discontinuity measurement can be done by geological compass measurements, but only limited to areas that can be reached and safe. Methods that can help measure the discontinuity plane is Structue from Motion techniques. This method uses raw data in the form of outcrop photos that are processed into point clouds to be processed into a 3-dimensional model. This model is used to measuring the position of the discontinuity plane digitally with a FACETS plug-in by CloudCompare software. FACETS plug-in performs a measurements automatically with the Kd-Nearest algorithm for two sides of of the outcrop. Side-1 has a dimension about 60 meter length and 25 meter height with slop face direction to the east an Side-2 has a dimensions about 25 meter length and 20 meter height, facing south. Side-1 kinematic analysis showing 8.97% of falilure mechanism are oblique. Meanwhile, wedge sliding are the most possible slope failure type happen ini Side-2 with 27,05% chance.
Lithological Control to the Gold Mineralization in the Main Ridge Complex of the Bakan Gold District, Northern Sulawesi, Indonesia
Authors: Pratama A , Idrus A , Warmada I W , Saifullah
Published: August 2024

Main Ridge complex is characterized by prominent high sulfidation epithermal-style mineralization with windows of porphyry style mineralization in the deeper zone. Several lithologic features play important controlling role in the occurrences of those mineralization. The oldest rock observed in the Main Ridge complex is unmineralized hornblende diorite (IDO-1) which encompasses the whole Bakan district. Several late intrusive stocks were concealed below the current topographic as mentioned as the microdiorite (IDO-2) and quartz diorite (IDO-3) in which the latter exhibits windows of porphyry-style mineralization. Those intrusive units were then covered by two unconformable volcanic tuff sequences which are andesitic tuff and dacitic tuff in compositions. Dacitic tuff is more favourable unit for gold mineralization compared to andesitic tuff which shown by near-surface ‘mushroom-like’ deposit form. In more peripheral area, the mineralization is also controlled by the bedding features of dacitic tuff which underlain by the less-mineralized andesitic tuff. In the latest stage, diatreme breccia cut all the lithologic units and becomes the most favourable host rock in sub-vertical deposit form. The comprehensive understanding of the lithological features is important to understand the mineralization control for further exploration target.