bluuebunny/crossref_metadata_2025_split huggingface dataset:
The feedback control of the fractional Mackey-Glass system with monotone production rate
Authors: Teng Xinghu , Han Xiao 
Published: April 2021

Abstract
This work is devoted to analyze the stability of the feedback control of the fractional Mackey-Glass system. Both the stability at the zero equilibrium point and the positive equilibrium point of the control system was obtained. Given small control gain for system, the stability interval about time delay and the stability region about destruction rate and time delay was obtain. Finally, an example was given to illustrate the result of paper.
Research on Key Technologies of Power Internet of Things Based on Artificial Intelligence Technology
Authors: Lin Xiaokang , Lin Jianeng , Su Zhiyong , Lin Chengchang 
Published: April 2021

Abstract
Abstract: With the development of science and technology, the power industry has combined many new technologies driven by science and technology to improve its own operating quality. The Internet of Things is a new technology that can significantly improve the power system. This article aims to study the key technologies of power Internet of Things based on artificial intelligence technology. This paper takes the research of intelligent meter reading system as an example, and conducts experimental analysis based on artificial intelligence algorithms. Using artificial algorithms in the spider web network topology, as the network increases, the communication paths that can be selected between nodes also increase, and the full-end reliability of the network topology also increases. The collection node is responsible for collecting temperature and voltage values through artificial intelligence technology, and then transmits the collected values to the coordinator node responsible for collecting information, and sends the collected information to the PC through the serial port, and uses the serial port debugging tool to display collected data. Experimental data shows that signal attenuation gradually increases with distance, and distance and obstacles make it impossible to send data accurately. So you can add routing nodes to the network, add collectors and concentrators, and then add an enhanced RF (Radio Frequency Identification) generator to the antenna design. The experimental results show that in the case of two indoor walls and D≤20m, the signal strength is in the range of -82dBm to -94dBm, which can ensure the normal communication of data. If D≥25m, data communication cannot be guaranteed. By combining power and the Internet of Things, power-based Internet of Things can be built to comprehensively enhance power operations.
Research on The Design of Power Enterprise Central Data Platform Framework Based on Big Data
Authors: Shen Liang , Cheng Zhihua , Gao Lingchao , Luo Yiwang , Cai Yuxiang 
Published: April 2021

Abstract
With the rapid development of computer technology and Internet, the traditional data mining methods and technologies in power industry will face great difficulties, and it is difficult to carry out accurate data processing and analysis. How to mine valuable data from a large number of original data has become a research difficulty. Aiming at this problem, this paper establishes the framework design of power enterprise central data platform based on big data. In order to further improve the actual performance of the scheme, the defects of existing algorithms are analyzed by IM_Apriori improves the calculation method, simplifies the calculation steps, reduces the calculation times, and provides technical support for enterprise data analysis. Through the analysis of the test results, when the data peak reaches 100 m, the execution time is reduced by 25s, which is obviously superior to the traditional scheme. The test results show that the design scheme in this paper has a high comprehensive performance, compared with the traditional central data platform framework, the performance has been greatly improved. Through the analysis, the research in this paper has achieved ideal results, and has made a contribution to the research on the framework design of the central data platform of power enterprises.
Research on New Energy Consumption Capacity Based on Grid Aggregation Model
Authors: Huang Shaoxiong , Wang Jiwen , Li Zhi , Li Shun , Wang Can 
Published: April 2021

AbstractIn recent years, with the rapid development of wind power, photovoltaic and other renewable energy, the installed capacity of renewable energy in the power system is increasing day by day. When wind power and photovoltaic reach a certain scale, their inherent output intermittence and volatility will seriously affect the stability of the system. Therefore, based on the historical load and renewable energy output of a certain region, the load curve and new energy output curve are given. Based on the power grid aggregation model, the rationality of the regional power planning is evaluated. Finally, based on the evaluation results, the limit of renewable energy consumption capacity in the region is studied. The research results can provide reference for new energy consumption capacity evaluation and power planning.
Study on Influence of Aging on Vibration Characteristics of T ransformer
Authors: Pan Zhiyuan , Yao Tengjun , Zhai Zhengang , Wu Nannan , Gao Bingtao , Xu Song 
Published: April 2021

Abstract
It is important to assess the insulation aging state of transformers, which can not only avoid equipment faults, but also improve the economic benefits of transformer operation. The main negative effect of transformer insulation aging is the decline of insulation mechanical properties, which will eventually lead to transformer fault. In this paper, the transformer vibration characteristic test platform is built and the vibration characteristic variables are defined to describe the vibration characteristic quantitatively. Then, the vibration characteristics and vibration variables of transformer tank surface under different aging time are studied by accelerated aging test in the laboratory. Finally, the vibration signals of transformers in service under different operation time are measured. And the vibration characteristics and vibration variables of in-service transformers under different operation time are analyzed and studied. This paper directly aims at the mechanical characteristics of insulation, and studies the relationship between insulation aging state and vibration of transformer. It provides a basis for more effective and direct monitoring of insulation aging state.
Influence of Load Factors on Distribution Transformer Noise
Authors: Wu Xiaowen , She Kai , Wang Xingyao , Cai Wei , Hao Cao , Ling Lu 
Published: April 2021

Abstract
Theoretical relations between load factors and distribution transformer noise are analysed. A 10kV/400kVA three-phase oil-immersed distribution transformer is used for sound pressure level test in various load conditions including various load ratios, unbalanced loads and power factors. The sound pressure levels of distribution transformer in different load conditions are compared and analysed. The results can be referenced for the field noise and vibration control of distribution power transformers.
Research on energy control strategy of PHEV
Authors: Sun Jingxia 
Published: April 2021

Abstract
According to the characteristics of Plug-in hybrid electric vehicle, PHEV optimal fuzzy control is proposed. The engine operating points are controlled on optimal fuel consumption curve. Based on the power request and SOC, the fuzzy controller can distribute the engine given power and the condition of SOC drop with insufficient of energy recovery is improved to realize constant SOC control Furthermore. ADVISOR is developed by Fuzzy control model embedding, and make simulation experiment under different driving cycle. The studies on case prove that PHEV optimal fuzzy control can realize the constant SOC control under road conditions, so that it has the well robustness.
Field Vibration Feature and Related Factors Analysis of 110kV Transformers
Authors: Wu Xiaowen , Wu Xiaozhong , Xiao Lihua , Cao Hao , Hu Sheng 
Published: April 2021

Abstract
Transformer vibration is closely related with its operating condition. In order to realize transformer operation condition evaluation, vibrations of sixty-two 110kV transformers are tested. The acceleration amplitude, base frequency amplitude, base frequency ratio, dominant frequency amplitude, dominant frequency ratio and frequency complexity are chosen as vibration features. Statistical analysis of the feature distribution is conducted to determine the normal range of the vibration features. In addition, the influence of operating life on transformer vibration features is also analyzed. The result shows that for most transformers vibration acceleration amplitude, base frequency amplitude, base frequency ratio, dominant frequency amplitude, dominant frequency ratio and frequency complexity are in the range below 5.0m/s2, 1.0m/s2, 0.3, 2.0 m/s2, 0.9 and 3.0, respectively. The vibration amplitude, base frequency and dominant frequency amplitude will increase obviously if transformer operating life is over 20 years. The analysis result will be used as data support for the operation condition assessment of transformers.
The study of rotate speed influence on the performance of Contra-Rotation-Propeller in stratospheric airship
Authors: Xie Cong , Tao Guoquan , Wu Zhe 
Published: April 2021

Abstract
According to the requirements of a foreign high-altitude airship project, the Single-Rotation-Propeller (SRP) was designed under the maximum endurance factor criterion. The spacing influence on the Contra-Rotation-Propeller (CRP) was studied by numerical simulation analysis, the performance of front and rear propeller was compared with SRP. The result indicated that CRP was more efficient than SPR, the CRP has enormous potential in enhancing the aerodynamic performance.
Research on Green New Energy Gymnasium under the Background of Environmental Protection
Authors: Jia Song 
Published: April 2021

Abstract
With society’s development, large-span spatial structures such as grids and arch trusses have been widely used in public buildings such as stadiums and stations. Simultaneously, solar energy as a green new energy source has also been significantly developed and widely used. This shows that photovoltaic power generation technology to large-span spatial structures will have broader development prospects. Based on this background, according to the thermodynamic characteristics of the solar fresh air measurement and control system and experimental data, the paper constructs a mathematical model of the green new energy gymnasium system, simulates it, and finally realizes the intelligent control of the solar energy measurement and control system.
Influencing factors and countermeasure analysis of a 800kV coupling capacitor dielectric loss test
Authors: Bao Yanyan , Zhang Guangdong , Liu Kang , Jiang Feng , Gao Lichao , Wang Hailong 
Published: April 2021

Abstract
The coupling capacitor is installed on the AC bus side of the converter station for AC filtering to filter out a large amount of harmonics generated by the converter during the AC/DC conversion process. Therefore, the reliability assessment test of its insulation status is of great importance to the safety and stability of the UHV power grid Meaning. In the UHV field test, the dielectric loss factor of the coupling capacitor is tested at a voltage of 10 kV and below, but the device itself has the Garton effect, and the abnormal data measured at some times cannot truly reflect the insulation state of the device. The thesis analyzes the abnormality of the dielectric loss factor test data of 800kV coupling capacitors in UHV converter stations from the structure, use conditions and test methods of the equipment, and gives a detailed analysis of the causes of the abnormality. Recommendations for operation.
Analysis of Optimal Bidding Strategy of Electric Vehicle Aggregators in Real-Time Energy Market
Authors: Hou Xiumei , Liu Wei , Chen Shiyu , Guo Yuenan 
Published: April 2021

Abstract
A power price control strategy is proposed for the charging of electric vehicles. Aggregation managers centrally manage the batteries of electric vehicles, and take into account the limited power supply of the grid during peak electricity consumption, and adjust the demand for charging through electricity price control. By analyzing the main body of the smart grid power market, the article constructs a multi-objective economic dispatch model, and uses Matlab to perform numerical simulation experiments on the model to verify the feasibility and effectiveness of the model.
Research on layout planning of Charging Infrastructure for Private Electric Vehicle Charging Station
Authors: Lin Haijiao , Ding Yong , Li Lixuan 
Published: April 2021

Abstract
Green development is the theme of the world today. As a kind of pollution-free and convenient carrying tool, the electric vehicle (EV) has been developed rapidly. The layout of the charging station satisfies the customers’ charging demand. Establishing vehicle prediction and charging scale prediction models to meet customers with charging needs. In the research on the layout planning of the charging stations, the elasticity coefficient method is used to predict the number of private electric vehicle (EV), and the queuing theory model is used to predict the charging demand. Forecasting the scale of charging stations based on private electric vehicles ownership and charging demand. Finally, a city is selected as the planning area for example analysis. The feasibility and nationality of the charging station layout planning method were proved.
Omnibus Law in the Job Creation Bill-Making Process: An Online Natural Language Process Analysis
Authors: Kurniawati Dyah Estu , Salahudin  , Yumitro Gonda , Kusumaningrum Demeiati Nur 
Published: April 2021

Abstract
This study aims to: 1) capture the discourse of omnibus law on online media, 2) analyze the differences of omnibus law discourse on online media coverage, and 3) the government’s political communication in the policy-making process. Descriptions were identified through a content analysis performed using NVivo 12 Plus to the four online medias that reported the omnibus law the most during the first 6 months of the policy making process, they are Kompas.com, Detik.com, Tempo.co, and Vivanew.com. The result indicates that there are similarities and differences in online media reporting about the omnibus law policy-making process through the Job Creation Bill. First, the similarity lies in the dominant roles and interests of the government in the policy-making process. Second, there were different issues discussed and different news sentiments by online media, such as critical, positive, and proportional sentiments. Third, to achieve its goals, the government seems to be trying to approach the legislative, which plays crucial roles in the passing process from bill to law, but not to approach workers and various groups resisting the omnibus law.
The Role of Stakeholders in Public Transportation Services Based on Information Technology
Authors: Ahmad Jamaluddin , Ramadhan Muhammad Rohady , Nilwana Andi , Bibin Muhammad , Ardian Ani , Sahar  
Published: April 2021

Abstract
Public transportation in Sidenreng Rappang Regency faces various problems that affect the achievement of tax collection effectiveness. One phenomenon that is often encountered in matters relating to the public transportation tax system is the emergence of an unofficial terminal, irregular tax collection processes, lack of motivation and guidance to tax management officers so that they are less professional in their field duties and public transportation facilities and infrastructure are not yet optimal. For this reason, planning for priority strategies is needed to increase local revenue (PAD). The purpose of this study is to design a priority strategy for increasing local revenue (PAD) through public transportation taxes in Sidenreng Rappang Regency. The research method used is a mixed-methods method. Data were collected through observation and in-depth interviews with stakeholders. Then the data were analyzed using stakeholder analysis methods and process hierarchy analysis. Stakeholders involved in increasing public transport taxes in Sidenreng Rappang Regency are divided into two groups. The first group is the key players. Key player’s group stakeholders must be more actively involved in planning and evaluating policy. The second group is the actors. Stakeholder group can bring risks, so their existence needs to be monitored and managed properly. To optimize the role of stakeholder actors, it is necessary to coordinate with key stakeholder groups in determining policy. The priority scale of the policy in increasing public transport taxes is as follows: 1) optimizing training and education programs in improving the quality of human resources and increasing the dissemination to taxpayers; 2) improve public transportation terminal facilities; 3) evaluating Regional Regulation Number 10 of 2010 concerning tax tariffs; and 4) cooperation between other agencies.
Big Data Analysis of Policies on Disaster Communication: Mapping the issues of communication and public responses in the government social media
Authors: Wahyunengseh RD , Hastjarjo S 
Published: April 2021

Abstract
Government communication contributed to the success of public policy implementation. Government social media is an instrument that can be utilized to measure public’s sentiment and support towards certain policies. This paper aims to present how the government’s policies on disaster are represented on the social media owned by the Badan Nasional Penanggulangan Bencana (BNPB) or Indonesian National Board for Disaster Management. This study analyzed both information and public comment posted in those social media between March and May 2020 to explore the state and citizen relations during the Covid-19 Pandemic in Indonesia. Using NVivo as a tool for text analysis methods, this study examines the theme pattern in government communication and public sentiment towards them. The study identifies content categories government’s communication, i.e. information, persuasion, and coercion. Concerning the public sentiment, this study finds high responses to behavioral contents, with negative (resistant) sentiments towards them. This study concludes that the government needs to treat the public as a collaborative partner, therefore the public policies on disaster need to be narrated comprehensively rather than partially intended to control public behavior.
The Urgency of Policy Formulation: Dynamics of Covid-19 Handling and Big Data
Authors: Suhermanto Dedik Fitra , Sihidi Iradhat Taqwa 
Published: April 2021

Abstract
This paper attempts to discuss the role of big data to formulate policies in responding to social and economic threats due to Covid-19 pandemic in Indonesia. The use of big data as a primary source is based on the dynamic of spreading cases in other countries that were suddenly flared. Those primary resources are online or open data such as population, social economic condition and infection case. In related indicators, population is a big portrait of the countries, thus we observed the number of new infection per day, month and how it impacts the economy. The research problem is how big data is used to formulate policy during the Covid-19 time. We use Decision Theory under Uncertainty to explain three indicators that influence decision-making under Covid-19. This research applied Machine Learning R and SIR Model to obtain the latest data. The argument is that big data can be used as a base resource for the policy formulation and decision-making. In this case, base resource refers to first input in the policy formulation process as well as input and output information in the decision-making process.
The Readiness of Social Media Back-End to Support Surabaya Government’s Public Policy
Authors: Kasiwi Aulia Nur , Nurmandi Achmad 
Published: April 2021

Abstract
This research aims to investigate the social media used in decision making. Social media has been used by the government to disseminate information to the public and to improve their services behavior. This research used a mixed method using Gephy Application to gain the network analysis to know the correlation of social media cross in each departments. The result has found that all departments of Surabaya government have been integrated with each other using one based system by Twitter, Instagram, and Facebook. Surabaya government always collected and resumed the data information every month, then the government can improve their performance and know what the citizen need or what happen in the real time. The main sub-actors for surabaya government in the social media are Sapawarga Surabaya account, Community Service, Public & Government Service, and the news company that supported the government activity on social media. This research is based on questioner survey and social media analysis so that we can know the analysis in two balancing performance, both their organizational behavior and responsiveness of the government. Furthermore, we can also know the effect of information that come from the government’s social media as part of their policy.
Smart City Development Innovation Strategy and Challenges for the Government of Jember Regency
Authors: Maulana Akbar , Haerah Kahar 
Published: April 2021

Abstract
Technological development has helped the local governments to provide information and services to the community, one of which is Smart City, a comprehensive and integrated application system which can be accessed quickly by the public and improves the duties and functions of local governments. Smart City has been implemented in various cities in the world and has proven to be able to solve various problems quickly. This information system should be able to be used by local governments to create effectiveness and efficiency in performance by analyzing organizational data for further policies. This paper aims to obtain an overview of the concept of smart city strategy and its implementation in Jember Regency. This research used literature review methodology through the concept of a model of implementing GSCM in smart government by paying attention to the artificial intelligence aspects. The conclusion of this paper is that the smart city development strategy is pursued by adjusting the potential and conditions in Jember Regency, which is of course, by analyzing some of the challenges and readiness for innovation through the GSCM concept.
The Strategy of Develop Artificial Intelligence in Singapore, United States, and United Kingdom
Authors: Zahra Abitassha Az , Nurmandi Achmad 
Published: April 2021

Abstract
The development of artificial intelligence has become an important issue in this era. However, the development of artificial intelligence is growing evenly, especially in Asian continents. A lot of countries develop artificial intelligence because artificial intelligence provides a lot of benefits. Hence, the Government makes various strategies to develop artificial intelligence in their country. Almost the country utilizes three sectors, such as the education sector, private sector, and the government sector, to develop artificial intelligence. Nevertheless, there are different approaches to develop artificial intelligence. Singapore prefers to utilize government sectors than the education sectors and private sectors. Then, the UK prefers to utilize education sectors than private sectors and government sectors. Different from Singapore and the UK, the USA prefers to utilize two sectors, which are very significant support by the education sectors and private sectors.