bluuebunny/crossref_metadata_2025_split huggingface dataset:
Agricultural Commodity Sales Recommendation System For Farmers Based on Geographic Information Systems and Price Forecasting Using Probabilistic Neural Network Algorithm
Authors: Utomo A H , Gumilang M A , Ahmad A 
Published: February 2022

Abstract
Since the implementation of social distancing and physical distancing due to the outbreak/pandemic of the Coronavirus (Covid-19), direct sales in the market have experienced a shortage of buyers. Farmers also share this in Indonesia, where the price game offered by collectors does not match the market price. The second problem is the mismatch of prices in each market, forcing farmers to check locations to sell their agricultural products. This problem is also experienced by the O’reng Rembangan Community Information Group (KIM), one of the community groups engaged in production to cultivate vegetable and fruit gardens in Kemuning Lor Village, Arjasa District, Jember Regency. The purpose of this research is the creation of an information system that can help farmers, especially KIM O’reng Rembangan, to obtain current market price information, receive market recommendations for agricultural products, get the nearest market from the location of farmers, and can be used by sellers to make purchases, optimize stock merchandise. This research also focuses on the prediction of agricultural commodity prices. The method used is the Probabilistic Neural Network (PNN) method to estimate the price of agricultural commodities. The resulting system in this study consists of 2 parts. The first part is the input device, which officers can use to enter the price of each agricultural commodity directly from each market. The second part is a Geographic information system used to display the forecasting results of agricultural commodity prices in each market. The forecast of agricultural commodity prices in this study has an accuracy of 98.3%.
A Prototype of Raspberry Pi Camera Morphometric Measurements on Sheep Using Digital Image Processing
Authors: Rahagiyanto Angga , Prakoso Bakhtiyar Hadi , Adhyatma M. 
Published: February 2022

Abstract
Quantitative data are needed to identify and predict opportunities for increasing livestock productivity. The increase in livestock productivity can be assessed from the dimensions of the body of the livestock by measuring directly using morphometric. Morphometric data is an important parameter used to study livestock anatomy, productivity, growth rate, and performance quality of livestock. This research is focused on how to make a prototype development of a camera tool that can measure livestock morphometrics at a distance. The Camera use in mini camera with a raspberry pi as a microcontroller. And method to process the capture of data is Artificial Neural Network that downloaded from tensor flow. The result of this experiment show that the accuracy of the system is 50%. However, the camera has not been able to identify the object of farm animals correctly. There are several livestock objects detected as dog or cat. For the future work the library must be modified so it can only detect the sheep or goat so the morphometrics can be done.
Optimization Design for Manufacturing and Assembly Method in Multifeedstock Jember Biodiesel Processor
Authors: Budiprasojo A , Zain A T , Karimah C N 
Published: February 2022

Abstract
A method used to optimize the design process in a manufacturing system is the Design For Manufacturing and Assembly Method (DFMAM). The idea of this optimization method is to minimize assembly process errors, reduce redundancy of components, save on production costs, as well as ease of operation. In this study, the method will be used on a biodiesel processor with multi feedstock type equipped with intelligent system for production perimeter control that is specifically designed to produce biodiesel from corn and coconut oil as raw materials produced by Jember, Indonesia. The design framework is made suitable for small-scale biodiesel production in MSMEs for industrial or laboratory purposes, in order to produce biodiesel that meets the biodiesel standards of Ministry of Energy and Mineral Resources of Republic of Indonesia. Processor component assembly via the DFMAM principle is simplified to reduce component complexity and redundancy. The biodiesel produced by this method has been tested and recorded a density value of 15 cel.deg. 874 - 877 kg/m3, viscosity at 40 cel.deg 4.3 – 4.7 mm2/s, Acid value 0.14 0.15 mg KOH/g, Cetane 56 – 58, Cloud Point 7 – 8 cel.deg., pour point 4 – 5, Flashpoint 171 – 178 cel.deg and distillation point 345 – 350 cel.deg.
The effect of changes in the fluid flow rate of Virgin Coconut Oil (VCO) on the immersion cooling process
Authors: Rachmanita R E , Utama G P , Budiprasojo A , Anwar S , Rudiyanto B , Seetawan T 
Published: February 2022

Abstract
The cooling system in computer equipment generally uses a conventional fan, where the heat transfer occurs by radiation so that the level of heat absorption is not optimal in computer components that generate heat. In overcoming these problems, a cooling system using the immersion cooling method is used. The use of an immersion cooling system on computer equipment aims to compare the temperature drop on CPU performance using conventional cooling and immersion cooling. In testing the computer system will be operated for 24 hours with maximum CPU performance. Variations of the immersion cooling system in the form of flow rates of 2, 4 and 6 lpm with variations in the rotation of the radiator fan at 200, 400 and 600 rpm. The results of the test show that the temperature reduction that can be achieved by conventional cooling is 71.2°C, while the temperature decrease in the immersion cooling system with the best variation is at a water rate of 6 lpm and a fan rotation of 600 rpm is 42.8°C. The results of the test can be seen that the immersion cooling system can significantly reduce the working temperature of the CPU.
Study on influencing factors and laws of infrared temperature measurement of silicone rubber composite insulator
Authors: Chen Zhiyong , Qu Jin , Shen Hao , Yao Pengfei , Cai Yingming 
Published: February 2022

Abstract
Silicon rubber composite insulator is favoured by power system because of its excellent anti-pollution flashover performance. Among them, the core rod is an important structural component to bear the mechanical load of composite insulator. In recent years, there have been many brittle fracture faults of composite insulators in China, which directly affect the reliability of transmission lines. The composite insulator is usually accompanied by abnormal heating during the aging process. As an effective live detection method, infrared temperature measurement can find the defects of composite insulator in time and reduce the occurrence of string breaking accidents. In this paper, by artificially simulating the abnormal temperature rise of composite insulator, infrared temperature measurement was carried out under the conditions of different observation distance, different observation angle, different sheath thickness and different heat source temperature, so as to explore the influencing factors and laws of infrared temperature measurement of composite insulator. The results show that due to the difference of heat loss, sheath barrier and radiation ratio in thermal radiation propagation, the measured temperature decreases and the absolute temperature difference increases with the increase of observation distance, sheath thickness and observation angle. The built-in heat source temperature increases the total internal heat, which can partially weaken the influence of sheath thickness on the measured temperature and significantly expand the difference caused by observation angle.
110kV high voltage cable sheath transposition to reduce the grounding induction currents
Authors: Fang Jun , Zhang Yanchi , Liao Wanting , Ju Pengfei , Ding Tian , Xie Da , Zhao Wenbo 
Published: February 2022

Abstract
When the high voltage cable core passes through the alternating current, the metal sheath will produce induction electricity under the action of electromagnetic induction. When the sheathes are grounded, the induced currents will reduce the transmission capacity of the wire core and increase the power loss. This paper firstly introduces the grounding mode of cable sheath, and then analyzes the grounding mode at both ends of the sheath and the induced current of cross-connected grounding through ATP-EMTP software simulation. The results of the research have shown that: when the cables are in normal operation, the sheathes adopt cross-connected grounding, the induced currents are reduced, and the energy loss caused by induced currents can be neglected. In actual engineering, due to the non-uniform length of each section of cables, when the cable sheathes are cross-connected, there will be residual positive and negative sequence current in each phase of the sheath after complete transposition.
Continuous-time projected gradient algorithm based optimal dispatch of distributed generators
Authors: Wang Weiyuan , Dou Fei , Cheng Jinmin , Hu Wei , Wan Zhendong , Xu Yiqing 
Published: February 2022

Abstract
Traditional dispatch or control method will suffer great difficulty with large scale integration of plug-and-play distributed generators in the power systems. The distributed control method can mitigate the burden of the power systems with distributed generation. In this paper, a continuous-time projection gradient algorithm based optimal dispatch method is proposed to improve the effectiveness of distributed control method for distributed generation. The proposed method does not rely on the known total load of the power system and the artificial initial value of state variables which are used widely in the consensus-based control methods, but only the projection operator is used to constrain the output of the distributed power supply, which can automatically run to the optimal point of the economic dispatch, thus significantly improving the practicability of distributed control method. Case study verifies the effectiveness of the proposed method.
Wavelet packet coefficient of transient first half wave line selection method for single-phase grounding fault
Authors: Gong Jing 
Published: February 2022

Abstract
Overvoltage will occur after single-phase grounding fault in distribution network, endangering system insulation. It is of great significance to find out the fault line as soon as possible to ensure the safe operation of the system. Wavelet modulus maxima can be used to detect the sudden change singularity of transient current. However, the judgement of single mode maximum value is easily influenced by the form of fault and interference, leading to misjudgement. In this paper, the transient characteristics of single-phase grounding fault are analyzed, and the magnitude and phase characteristics of the first half wave are given; Based on wavelet packet algorithm, several key problems such as boundary effect, wavelet selection and decomposition scale are explored; Taking the zero sequence voltage as the reference to determine the fault interval, the zero sequence current of each line is decomposed by three-scale wavelet packet using db6 wavelet, and the wavelet coefficients of the characteristic frequency band are extracted for comparison. The fault line is the one with the largest amplitude and different phase from others. The distribution system model of neutral grounding through arc suppression coil is built. Simulation is carried out for several cases with great difficulty in line selection, such as short circuit when phase voltage crosses zero, high resistance grounding and long line fault. The experimental results prove the reliability of this method.
Analysis of the impact of epidemic situation on total electricity consumption of the United States under the prediction scenario
Authors: Ma Minglu , Wang Qiang 
Published: February 2022

Abstract
The outbreak of COVID-19 epidemic has led to a decline in electricity consumption in the United States, the world’s second largest consumer of electricity. Based on the monthly data of the United States from August 2015 to July 2020, this paper uses the ARIMA model and the ARIMA-BP model to forecast the power consumption of the United States in the next 17 months. The Mean Absolute Percentage Error (MAPE) is 5.6% and 4.5% respectively. It shows that the prediction results have high reliability. The results of prediction research will provide a scientific basis for the normal adjustment of electricity supply and demand in the United States, and the method used in this study can be used as a reference for the study of electricity consumption in other countries.
Influence of sheath thickness and core rod diameter on fault temperature rise of composite insulator
Authors: Liu Hui , Shen Hao , Qi Zhao , Sun Xiaobin , Li Dandan , Jia Ran , Liu Rong , Zhang Yang 
Published: February 2022

Abstract
Infrared temperature measurement is an effective means for insulator health monitoring, and the theoretical basis and the subsequent diagnosis methods have been widely studied. However, in practical applications, the influence of insulator itself on fault temperature rise is rarely considered. In this paper, the temperature rise experiment of composite insulator was conducted to study the influence of sheath thickness and core rod diameter on fault temperature rise. According to the experimental results, the evolution law of fault temperature rise with the change of sheath thickness and core rod diameter was obtained. On this basis, the design strategy for composite insulators was proposed.
Frequency modulation control strategy based on index calculation and energy storage system SOC
Authors: Wang Zhongyan , Song Yang , Li Ke , Si Ruicai , Wang Chenbo 
Published: February 2022

Abstract
With the increasing requirements for FM quality in power systems, more and more high-quality FM resources are participating in the FM auxiliary service market. This paper proposes a SOC control strategy based on index calculation and considering AGC power unit performance evaluation criteria. This strategy defines control strategies such as charging and discharging during idle time to keep the energy storage system SOC at 55%.This control method was first applied in a 10MW/5.6MW·h project of a power plant in Guangzhou. The application effect of the project shows that the control strategy has strong practicability and good application effect. Compared with other strategies, this control strategy increases the performance of the energy storage system by 3 to 4 times and greatly improves the economic benefits of the power plant.
Study on the effect of oligomer silicone surfactant on the properties of drilling fluids
Authors: Zhang Jie , Li Long , Xie Nanxing , Yao Xuyang , Zhao Zhiliang 
Published: February 2022

AbstractDue to small hole roar, most of low-permeability gas reservoirs are water wetting, and the capillary effect is very prominent, resulting in water blocking damage in the process of exploitation for natural gas. A new kind of oligomer silicone surfactant (OSSF) was developed, and the physical and chemical properties of oligomer silicone surfactant were evaluated. The experimental results indicated that the critical micelle concentration of OSSF was 0.418×10-3 mol/L, and the critical surface tension of OSSF was 20.631 mN/m. OSSF could be adsorbed directionally at the water-rock pore interface, and the cores adsorbed with OSSF should reverse from water wetting to oil wetting or gas wetting. OSSF had good compatibility with sulphonated polymer mud. OSSF could play an important role in unlocking water blocking damage to increase production and efficiency.
Simulation study on the influence of different thermal insulation materials on the thermal environment of shallow underground space
Authors: Pan Zhen , Jiang Zhaocai , Wang Haoxu , Zhang Wenjie , Huang Fengcheng , Zhao Yingbo 
Published: February 2022

Abstract
In the shallow frozen soil in severe cold areas, the overall thermal performance of the structure is very important for the creation of the internal thermal environment. In this paper, CFD simulation calculation software is used to analyze the internal temperature field distribution of the shallow buried underground space with ordinary thermal insulation structure using only polyurethane and three improved thermal insulation structures with rock wool, polystyrene board and aerogel added. The results show that the three improved thermal insulation structures have an average increase of 9°C, 10.5°C and 12.5°C in indoor temperature compared with ordinary thermal insulation structures. Among them, thermal insulation materials in the form of polyurethane + air + aerogel have the most obvious improvement to the indoor environment.
Analysis of the difference between China Classifications for Petroleum Resources/Reserves 2020, SPE-PRMS 2018 and a China oil company’s overseas oil reserves standard
Authors: Xia Mingjun , Hu Yong 
Published: February 2022

Abstract
China oil company’s overseas petroleum assets and reserves belong not only to the company itself, but also to resource countries or joint venture companies. The adoption of reserves classification standards needs to meet the needs of different levels and resources / assets management. China Classifications for Petroleum Resources/Reserves (CCPR) divides reserves into three classes: geological, technical recoverable and commercial recoverable reserves, with three categories of proved, probable and possible reserves. The object of CCPR management is the physical volume of petroleum, with geological reserves as the focus of evaluation, and the deterministic method is mainly used for reserves evaluation. Society of Petroleum Engineers - Petroleum Resources Management System (SPE-PRMS) divides the remaining recoverable reserves into reserves and contingent resources based on commercial and sub-commercial. The terms low/best/high forecasts are used to estimate 1P/2P/3P quantities. It takes petroleum assets as the evaluation object, and the determination of evaluation parameters focuses on commercial recoverable reserves and value evaluation. In China oil company’s overseas oil reserves standard (company standard), geological reserves and recoverable reserves are clearly divided into P and C classes, which are subdivided into P1\P2\P3 and C1\C2\C3 categories. It takes oil reservoirs, traps, wells and company assets as the evaluation object. It not only emphasizes the commercial opportunities, development feasibility, and uncertainty, but also emphasizes the resources attributes of geological reserves, geological characteristics, reservoir parameters, and production performance. When China oil company acquires overseas petroleum resources, geological reserves need to be included in the national reserves statistics to serve the national energy security strategy, resource management and development planning. CCPR need to be adopted; When conducting assets transactions, communicating with resource countries and joint venture partners, SPE-PRMS need to be adopted; When conducting company exploration and development, operation, preparation of development plans, etc., company standard need to be adopted. The adoption of the three reserves standards can generally take into account the needs of the international, national, and company levels, as well as the management of petroleum resources and assets.
Hydro-mechanical coupling numerical simulation method of multi-scale pores and fractures in tight reservoir
Authors: Liu Lifeng , Xiao Yuxiang , Wu Zhongbao , Wang Xin 
Published: February 2022

AbstractIn the fracturing, injection and production of unconventional tight reservoirs, the change of fluid pressure will cause significant changes in effective stress, which will greatly affect the dynamic characteristics of the reservoir. On the basis of the adaptive seepage numerical simulation method for different scale medium of tight oil in the early stage, through the study of the deformation mechanism and deformation law of natural / artificial fractures and matrix pores during the whole life cycle including hydraulic fracturing, production and fluid injection to supplement energy, the dynamic variation models of multi medium geometry, physical properties, conductivity and well index are established, and the multi medium fluid solid coupling dynamic simulation technology is formed. The integrated dynamic simulation of multi-media complex seepage and hydro-mechanical coupling is realized.
Responses of evapotranspiration to changing climate for the past six decades in the upper catchment of the Olifants River basin
Authors: Nkhonjera German K. , Dinka Megersa O. , Woyessa Yali E. 
Published: February 2022

Abstract
In river basins such as the Olifants, the evapotranspiration has been documented as the biggest water user and therefore one of the most important hydrological processes in the basin. Thus, using the Soil and Water Assessment Tool (SWAT) model, this study attempted to assess the hydrological responses of evapotranspiration (ET) to climate change in the Olifants River basin over a period of six decades, focusing mainly on the upper catchment (UC) of the basin. The study showed, on average, a general decline of seasonal ET with a decrease of 10.5% in spring, 29.8% in summer and 17.3% in winter. However, autumn ET showed an average increase of 12.5%. With (1960 – 1970) decade considered as the baseline, the study also found that annual ET in the UC, has been on the decline consistently since the 1960s with the most recent decade (2010 – 2018) taking the biggest share of the drop (12.8%). Here, the average annual decline of ET of 1.75 mm/yr was observed with most of the decline happening in the last decade. This general decadal trend of annual ET mortality in the area coincides with the temperature rise and precipitation decrease of the area, signifying the impact climate change may have had on the evapotranspiration for the past six decades.
Research on the green transition of heavy chemical enterprises in Jiangsu Province
Authors: Jiang Jun , Chen Jing 
Published: February 2022

Abstract
By carrying out the green transition and upgrading of heavy chemical industry in Jiangsu, it is conducive to improving the industrial competitiveness and the level of clean production of key industries; it is conducive to establishing the system and mechanism of ecological priority and green development of the Yangtze River economic belt, and promoting high-quality development. Based on the development practice of heavy chemical industry in Jiangsu Province, this study analyzes its negative effects on the high-quality development of the Yangtze River economic belt. This paper puts forward the index of green transition of industry, establishes the measurement and evaluation model of green transition of heavy chemical industry in Jiangsu Province. Based on the empirical research results, this paper puts forward the green transition path of Jiangsu heavy chemical industry.
Effects of pH on sex organ differentiation and sexual reproduction in the endangered aquatic fern Ceratopteris p teridoides
Authors: Dong Yuanhuo , Liao Kuo , Zeng Changli , Xu Guoquan , Dia Xigang 
Published: February 2022

Abstract

Ceratopteris pteridoides is an endangered aquatic floating fern in China. The effects of different pH values on spore germination, sex organ differentiation in C. pteridoides are studied by a control experiment of setting pH gradients of 4, 5, 5.5, 6, 6.3, 6.5, 7, 7.5, 8, 9 in this paper. The results show that spore germination rates (26.1% and 19.30%, respectively) in pH = 4 and pH = 9 are significantly lower (P<0.05) than in reference group (45.63%, pH = 6.3), indicating that spore germination in C. pteridoides is adaptable over a wide range of pH. The optimum pH for spore germination, sex organ differentiation, and gametophyte development in C. pteridoides is between 6 and 7. An ANOVA of the different pH values after cultivation showed that hermaphrodite gametophyte emergence rates in 4, 5, 7.5, 8, 9 pH values were significantly lower (P<0.05) than those of the reference group. This may pose a threat to the sexual reproduction of the wild population of Ceratopteris pteridoides .