bluuebunny/crossref_metadata_2025_split huggingface dataset:
Static analysis and optimization design of a special-shaped rod of the crab-like robot based on ANSYS Workbench
Authors: Yang Xiaolong , Zhang Chaogang , Zhou Le 
Published: March 2023

Abstract
This paper takes a self-designed crab-like robot special-shaped rod as the research object. To solve the problem that the actual gait does not conform to the theory encountered in the debugging stage, the following operations are carried out: after static analysis, the problem is that the special-shaped rod is complex and stressed. It is complicated, and the resulting deformation is too large, resulting in a decrease in the movement stability of the overall mechanism. To improve the stability of the mechanism, SolidWorks was used to complete the construction of the crab-like robot model, and ANSYS Workbench was used to perform static analysis and topology optimization on the special-shaped rod, so as to obtain the preliminary optimization results. On this basis, to better improve the stability of the mechanism, the secondary optimization of the special-shaped rod is carried out. The static analysis is carried out again and the obtained results are compared with the original design. The deformation of the special-shaped rod during the movement process is reduced by 13%. Under the premise of structural rigidity, the weight is reduced by 44. 73% and the stress distribution is more uniform. The above analysis results show that after the analysis and processing of the above methods, the special-shaped rod structure is further optimized, the stability of the overall structure is improved, and the effect of green design is achieved at the same time.
Research on flexible stabilization strategy for power fluctuation characteristics of Distributed Renewable Energy cluster
Authors: Deng Ruiqi , Chen Gang , Li Bo , Wu Jianping , Guo Liang , Liu Junting 
Published: March 2023

Abstract
To fully use the flexible regulation resources of the grid to solve the fluctuation smoothing problem of massive distributed renewable energy clusters(DREC) power generation in the grid, a flexible smoothing method is proposed for the fluctuation characteristics of DREC. Firstly, the method of adaptive gaussian filtering strips out the power for DREC that meets the grid entry criteria and obtains the power generation that needs to be smoothed out; secondly, according to the proposed fluctuation characteristic evaluation index, quantitative analysis and grade evaluation are performed on the stripped power generation that needs to be smoothed out, and the corresponding flexible smoothing strategies are adopted according to the fluctuation grade. Then, corresponding strategies adopt the flexible regulation resources to realize the flexible stabilization effect of DREC. Finally, a simulation analysis is conducted to verify the feasibility and effectiveness of the method by using the power generation data of photovoltaic power plants in a region on typical days.
Fault Identification of Secondary Equipment in the Intelligent Substation
Authors: Huang Jiayin , Zhang Chi , Ding Xiaobing , Peng Ye , Gao Honghui , Gao Zhanjun , Liu Zhao 
Published: March 2023

Abstract
With the continuous expansion of the scale of the power system and the increasingly complex structure, the intelligent construction of the power grid continues to deepen and the construction scale of smart substations as the core part of the smart grid is also expanding. At present, higher requirements are put forward for the operation and maintenance of the secondary system of the smart substation. Therefore, the fault diagnosis of the secondary system of smart substations has become an important research direction for smart grid construction. This paper proposes a secondary system fault location method for smart substations. The method uses a search algorithm based on an adjacency list and skyline query to determine the fault area. This scheme is applicable when the fault information is complete or not. Compared with the method of using the neural network to directly locate the fault of the whole network components, the training scale of the neural network is reduced and the “uncritical” feature quantity is reduced for the fault location. It highlights the value of “key” feature quantities and effectively improves the accuracy of the fault location.
Metro Electric Traction Load Forecasting Based on Prophet-GRU Hybrid Model
Authors: Li Rui , Du Jiao , Zhang Xiangying 
Published: March 2023

Abstract
In order to further improve the metro electric traction load forecasting and provide support for energy conservation and sustainable development of urban rail transit. In this paper, a Prophet-GRU hybrid model based on weight selection is proposed. This model combines the advantages of Prophet and GRU, takes account of timing characteristics and influence factors synthetically, and improves the accuracy of electric traction load prediction. This paper first introduces the background of electric metro traction load and the model used in this paper and then proposes electric traction load forecasting based on the Prophet-GRU hybrid model. Taking a subway line as an example, firstly, the Prophet and GRU are used for prediction respectively, and then the error reciprocal method is used to combine the two models to obtain the final forecasting result. Compared with the single Prophet and GRU, it is verified that the model has a higher precision forecasting ability.
Intelligent Microgrid Energy Management Method Based on Deep Q Network (DQN)
Authors: OuYang Xinghui , Fan Sixia 
Published: March 2023

Abstract
With the high proportion of renewable energy in microgrid, it brings more and more challenges to the energy management of microgrid. In the meantime, the rise of artificial intelligence has brought new solutions for microgrid energy management. This paper mainly studies the method of integrating deep learning with microgrid. When a variety of flexible resources are connected to microgrid, different energy sources can be coordinated and controlled by determining preferential resources, various demand control signals and real-time electricity prices. In this paper, a deep Q network (DQN) based on deep reinforcement learning algorithm is implemented and combined with a new microgrid model. The numerical results show the effectiveness, adaptability and stability of the deep reinforcement learning method in the optimization control problem of microgrid, and also show the possibility of combining artificial intelligence with power system.
Anti-vibration damage system of CNC engraving machine and finite element analysis of stability
Authors: Zhu Jinjing 
Published: March 2023

Abstract
With the development of industrial technology, engraving technology has become a common industrial processing technology. Aiming at the potential safety hazards existing in the use of the CNC engraving machine, this paper designs a device for preventing vibration damage of the engraving machine based on the operator’s experience and relevant theoretical knowledge, which is connected and assembled by gas spring and 3D print through screws and nuts. It greatly improves its safety performance, mechanical efficiency, and finished product quality and reduces working hours. The modal and static analyses of the two structures of the device are carried out by finite element software to verify the reliability of the structure. The device is applied to the CNC engraving machine to ensure its structural stability.
Strong interference adaptive suppression algorithm for respiratory and heartbeat monitoring
Authors: Tang Jiawei , Zhao Yao , Deng Zhenmiao , Tang Jun 
Published: March 2023

Abstract
A strong interference adaptive suppression algorithm based on frequency-modulated continuous wave (FMCW) radar is proposed for scenarios with complex static targets. The algorithm removes stationary clutter, stationary fixed targets, and random background noise contained in the echo signal through background resolution, background accumulation, background differencing, and adaptive background update and detects human targets using the cell-averaged selected small constant false alarm rate (SO-CFAR) algorithm. Experiments show that this method improves target detection accuracy in low SNR, reduces the impact of background removal on the target phase, and improves the accuracy of target respiration and heartbeat value estimation.
Heart rate measurement method based on wavelet transform noise reduction for low power millimeter wave radar platform
Authors: Wang Haili , Du Fuchuan , Zhu Hao , Zhu Xiaoxiao , Cao Qixin 
Published: March 2023

Abstract
In recent years, non-contact vital sign estimation using millimeter wave radar technology has gotten much attention. Most studies are based on radar platforms that were not built for home scenarios and had high transmitting power and colossal volume. This work employs a low-power millimeter wave radar system produced using Antenna in Package technology (AiP) with a transmit power of less than 6 dBm, significantly lower than that commonly utilized in related research. However, in application scenarios, the echo intensity cannot be maintained at an optimal level with these low-power devices, making accurate and reliable monitoring difficult to obtain. To further reduce the noise component and improve the signal-to-noise ratio, a heartbeat monitoring algorithm based on wavelet transform noise reduction is suggested in this study. The low-frequency terms of the wavelet transform of the chest wall micro-motion signal are interpreted as body random swinging and breathing, and the remaining terms are interpreted as the heartbeat signal. In a 20-minute monitoring experiment, 96.96% accuracy is reached by the method proposed in this study in the context of home scenario monitoring.
20 ps time resolution with a fully-efficient monolithic silicon pixel detector without internal gain layer
Authors: Zambito S. , Milanesio M. , Moretti T. , Paolozzi L. , Munker M. , Cardella R. , Kugathasan T. , Martinelli F. , Picardi A. , Elviretti M. , Rücker H. , Trusch A. , Cadoux F. , Cardarelli R. , Débieux S. , Favre Y. , Fenoglio C.A. , Ferrere D. , Gonzalez-Sevilla S. , Iodice L. , Kotitsa R. , Magliocca C. , Nessi M. , Pizarro-Medina A. , Sabater Iglesias J. , Saidi J. , Vicente Barreto Pinto M. , Iacobucci G. 
Published: March 2023

Abstract
A second monolithic silicon pixel prototype was produced for
the MONOLITH project. The ASIC contains a matrix of hexagonal pixels
with 100 μm pitch, readout by a low-noise and very fast SiGe HBT
frontend electronics. Wafers with 50 μm thick epilayer of
350 Ωcm resistivity were used to produce a fully depleted
sensor. Laboratory and testbeam measurements of the analog channels
present in the pixel matrix show that the sensor has a 130 V wide
bias-voltage operation plateau at which the efficiency is 99.8%.
Although this prototype does not include an internal gain layer, the
design optimised for timing of the sensor and the front-end
electronics provides a time resolutions of 20 ps.
Mobility planning for urban employee to workplace: an analysis of bus routes network and stop locations
Authors: Yusoff Z M , Shuib A , Ishak S Z , Mokhtar E S , Othman F , Ramazan N A 
Published: March 2023

Abstract
Efficient mobility planning for urban employee brings significant benefits to the quality of life and securing freshness to the environment. However, encouraging people to use public transport to workplace is a big challenge although many strategies have been made. The aim of this study is to explore the journey to workplace by urban employee with objectives to analyse the coverage area and stops location along the trip. This research was conducted at Klang District and the focus group were from the urban employee who is using a public bus as daily mobility to the workplace. The research method comprises the interview sessions and the distribution of questionnaire forms to 100 employees. Statistical and GIS analysis were used to show the accessibility pattern, the bus stop location, distance, and time to the workplace area. The GIS network analysis on pathfinding helps in reviewing the current path taken and used to establish the optimal suggestion of routes that the commuter can decide. This research explores the needs for employee in engaging the public bus as the main mobility to workplace. The result proposed route with considering the respondents’ experience issue and mobility parameter to promote the use of public transport to workplace.
Plastic waste knowledge of households towards a sustainable environment
Authors: Nasir N , Malek H A , Januri S S , Malek I A , Jamidin J N 
Published: March 2023

Abstract
Plastic waste in Malaysia has become a serious problem since it affects not only the environment but wildlife animals and marine life too. These may cause by irresponsible people in dealing with their plastic waste management. Therefore, this study is conducted mainly to analyse the knowledge, attitude, awareness, and behaviours of households in Pasir Gudang towards plastic waste management in separating plastic waste before its disposal. A questionnaire was distributed among households who live in this area. The Binary Logistic Regression is used to analyse the knowledge, attitude, awareness, and behaviour of households towards plastic waste management. The results show that only the behaviours of households affect the plastic waste management in their households (p-value=0.04). The Hosmer-Lemeshow test indicates the model has a good fit for the data (p-value=0.480). Other than that, the Omnibus test (p-value=0.03) shows predictors have significant effects and gave improvement to the model. The Classification Table shows the accuracy of 67.4% of the households who separated plastic waste before its disposal. It is suggested to improve the result by adding more respondents to provide insight information on the independent variables, analyse further using other approach such as decision tree and parallelly acknowledge others on the importance of recycling plastic waste.
The determinant of households’ energy cost in rural area of Yogyakarta
Authors: Ridayati  , Hidayati S R 
Published: March 2023

Abstract
We present the result of energy surveys conducted in rural area, Sendangsari village, located in the south of Yogyakarta Special Region. The regression method is used to identify how the contribution of every factor is222. The cost of energy consumption is used as the dependent factor. While the factors of daily cost of fuel, electricity, and LPG, and the usage of washing machine, refrigerator and rice cooker are the independence ones. The data is obtained using questionnaire method to the 67 respondents of Kalurahan Sendangsari residences. The respondent is chosen using simple random sampling technique. The linier regression method is used to identify the contribution of each variable to the household energy cost. The average of energy usage of every household in the village is IDR 34,239.24. Most of the cost is used for the money they spend to buy motorcycle fuel. The results indicate a very strong relationship between energy cost and all variables simultaneously (0.740). The variable has the strongest contribution is the money they use to buy fuel for their vehicles.
The impact of economic development and density population on environmental quality in Indonesia
Authors: Qa A’yun I , Tiyaningsih S 
Published: March 2023

Abstract
One of the important issues today is the problem of global warming and climate change. Global warming and climate change are phenomena of increasing concentrations of greenhouse gases in the atmosphere due to various human activities as a result of economic development activities. The success of economic development activities can be seen from the increase in the value of national output in the form of gross domestic income. Therefore, the purpose of this study is to determine the effect of economic development as measured by Gross Regional Domestic Product (GRDP) and population density to environmental quality in 33 provinces of Indonesia for the 2013-2018 period. The data in this study use GRDP of the agricultural sector, mining and quarrying, processing industry, transportation, population density and the environmental quality index (IKLH). In this study using panel data estimation. The research results show that the fixed effects method is the best method for estimating the existing variables. This research shows that the GRDP of the mining and quarrying sector has a negative and significant relationship with environmental quality in Indonesia. Then the GRDP variable in the transportation sector is positively and significantly related to the quality of the environment in Indonesia. Meanwhile, the variables of GRDP in the agricultural sector, GRDP in the transportation sector, and population density have no significant effect on the quality of the environment in Indonesia.
Watershed characteristics of West Progo dome and its implications on neotectonic
Authors: Budiadi Ev , Listyani R A T 
Published: March 2023

Abstract
This geomorphological study discusses the characteristics of the watershed that compose the West Progo Dome, conducted using a field survey method, topographic map analysis, and remote sensing imagery. This is because the West Progo Dome is built by two different litology characteristics (volcanic and carbonate rocks) and different age. Analysis of watershed characteristics includes area, flow pattern, bifurcation ratio (Rb), and river density (Dd), accompanied by statistical analysis of the T2-Hotelling multivariate mean difference test. The results shows that the West Progo Dome has three large watersheds, namely the Bogowonto, Serang, and Progo watersheds, with an area of about 270.4, 110.9, and 140.3 km2, respectively. The drainage patterns in this area are dendritic, radial, sub-parallel, trellis, rectangular and angulate. Rb of drainage in the study area varies from low to high, indicating the presence of tectonic influences. The Rb value in System IIA is 2.0 - 5.8, and in System III is 1.290 - 6.630. The Dd value on System IIA is 0.921-1.592 km/km2 and on System III is 0.990-1.200 km/km2. This very rough Dd also indicates the presence of tectonic influences. The average Rb and Dd values between System IIA and System III were not significantly different. It means that tectonics influences the watershed morphometry in the West Progo Dome and is still active until the Quaternary (neotectonic).
Willingness to pay for green electricity: evidence from a contingent valuation survey in Indonesia
Authors: Pratikto F R , Rikardo C 
Published: March 2023

Abstract
The Government of Indonesia has set a target of 23% renewables in the national energy mix by 2025. Until August 2021, the achievement in the electricity sector was only 12.77%. The low electricity selling price and lack of incentives for renewable electricity investment are considered the main obstacle to attaining that goal. This research addresses the first issue by measuring the consumer’s willingness to pay (WTP) for greener electricity. We use the contingent valuation method (CVM) with dichotomous choice with follow-ups (DCF) elicitation technique. The CVM questionnaire asks if residential consumers are willing to pay a specific price for electricity with 50% renewables. Data from 520 respondents were collected through an online survey targeting non-subsidized households in Java, the main island of Indonesia. We used the survival analysis to analyze the data by assuming a lognormal distribution and came up with the electricity price-response function, which shows that 80% of respondents are willing to pay up to 13% higher than the current price. We also found that the WTP increases with the electrical capacity, where households with an electrical capacity of greater than 2,200VA are willing to pay 17% higher than those with an electrical capacity of up to 2,200VA.
Evaluation of physical and mechanical properties of intact sandstones through the Analytic Hierarchy Process (AHP)
Authors: Ghazali I E , Yusof N M , Hamzah N 
Published: March 2023

Abstract
One of the most significant factors affecting the strength and deformation of intact rocks is weathering, which drastically reduces the rocks’ properties. This study used the Analytical Hierarchy Process model to assess the ranking of strength and physical nature of intact sandstone samples from various locations. The AHP analyses considered fine-grained sandstones, four evaluation criteria, and five different Malaysian locations. When the weathering grade decreases, the strength of the rock increases. Weathering causes decrease in dry unit weight and an increase in porosity. The porosity of weak rock materials influences their strength. The effect is more obvious in grade IV materials, where dry and wet conditions can significantly impair rock strength. According to the AHP analysis results, those diverse sites have distinct attributes in terms of numerous evaluation criteria, depending on the location and its geological features. Based on the general evaluation points in this study, Puncak Perdana were found to have the highest rock strength, whereas Kempas presented the lowest rock strength in general. In addition, Beris Dam, Bukit Indah to Mersing, and Desa Tebrau could be declared as second, third and fourth, respectively, in presenting the rock strength quality of various sandstones samples.
Synthesis and characterization of carbon nanotubes and activated carbon assisted sol-gel derived La0.6Sr0.4CoO3-δ material
Authors: Samat A A , Darus M , Ismail I , Somalu M R , Osman N 
Published: March 2023

Abstract
A pure perovskite-type oxide ceramic nanomaterial can be produced at a lower processing temperature than 1000 °C via sol-gel method. However, it is influenced by the nature of chemical agents such as chelating agent, surfactant and dispersant added during the synthesis process. Among them, dispersant is regarded as an important chemical agent as it can prevent the formation of hard agglomerated particles which is the main drawback of sol-gel method. In the present work, ceramic powder of lanthanum strontium cobaltite, La0.6Sr0.4CoO3-δ (LSCO) was prepared via sol-gel method with the aid of carbon nanotubes (CNTs) and activated carbon (AC) as dispersant. The prepared powder was characterized by thermal gravimetric analyser (TGA), X-ray diffractometer (XRD) and scanning electron microscope (SEM) equipped with energy dispersive X-ray (EDX) spectrometer to evaluate its thermal decomposition, structural and microstructure properties, respectively. Thermal decomposition of the as-synthesized CNTs-based and AC-based powders completed at temperature 750 °C and pure perovskite phase of LSCO was formed at temperature 900 °C. Both CNTs-based and AC-based calcined powders consist of homogeneous and almost identical shape of particles. However, the CNTs-based calcined powder has higher agglomeration index value than the AC-based calcined powder as revealed in SEM images.