bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficiency analysis of red chili farming in Pidie Jaya Aceh
Authors: Yusmaini  , Usman M , Safrida  , Kasimin S 
Published: February 2021

Abstract
The application of production management is very important in farming, this is reflected in the farming of red chili as one of the contributing commodities to inflation in Indonesia. chili is a commodity that has the most fluctuating price movements, where the price indicator is a reference for a farmer in planting red chili, therefore a farmer must be able to determine the time and carry out production management, one of which is the efficiency of production factors where this efficiency ultimately affects the the amount of income received by farmers. The purpose of this study is to determine what factors affect production, factors that have been economically efficient and factors that affect income in the red chili farming in Pidie Jaya Regency. This study uses Cobb Douglas efficiency analysis and income analysis. The factors that influence the production of red chilli farming in Bandar Baru and Trienggadeng Districts in Pidie Jaya Regency consist of seeds, compost, NPK, urea, KCL, TSP, pesticides and labor where the magnitude of the influence of the variable reaches 94.9%. The efficiency of production factors, namely compost, and KCL are not efficient, so it needs to reduce production factors, while seeds, NPK, urea, TSP, pesticides and labor are not efficient so need the addition of production factors. The influence of the factors of the amount of production, the selling price of red chili and production costs to the income of the farming of red chili in the District of Bandar Baru and the District of Trienggadeng in the District of Pidie Jaya that is equal to 91.90%.
Making briquette as fuel from rice husk waste and glutinous rice flour
Authors: Ramadhini M , Saputra D S , Setiawan H , Nur J , Asmaidi  
Published: February 2021

Abstract
Briquette is fuel energy produced from organic materials or agricultural waste (biomass) that is underutilized such as rice husk waste. In this research, briquettes will be made from a mixture of rice husk waste, sticky rice glue and PVAc glue. The purpose of this research is to see the temperature and length of burning of charcoal briquettes. This research uses conventional experimental methods. Based on the results of the study, sample 1 had a mixed composition of 100 gr rice husk waste, 15 gr glutinous rice flour, 5 gr PVAc glue, and 110 ml hot water, then a maximum temperature of 335.4°c was obtained and with a burning time of 19.18 minutes, whereas at sample 2 has a composition of mixed ingredients namely 90 gr rice husk waste, 25 gr glutinous rice flour, 5 gr PVAc glue, 110 ml hot water, then a maximum temperature of 353.6°c is obtained with a burning time of 17.54 minutes, whereas in sample 3 with a mixture of ingredients 110 gr rice husk waste, 5 gr glutinous rice flour, 5 gr PVAc glue, 110 ml hot water, then a maximum temperature of 427.1°c is obtained with a burning time of 27.46 minutes. Of the 3 sample specimens that obtained good temperature values were sample 3 with a maximum temperature of 427.1°c and a burning time of 27.48 minutes.
Modernization readiness analysis of Belitang irrigation system at region level using analytic hierarchy process (AHP) method
Authors: Imron F , Murtiningrum  
Published: February 2021

Abstract
Irrigation system management in the Belitang Irrigation System has some constraint that can be overcome by conducting irrigation modernization. Before implementing irrigation modernization, an irrigation system should be assessed to determine the level of irrigation modernization readiness stated by the readiness index of irrigation modernization (IKMI). The assessment of irrigation pillars was carried out in three regions including Belitang I, Belitang II and Belitang III. This study aimed to analyze the readiness of irrigation modernization in the Belitang Irrigation System and to determine the order of irrigation modernization development in three regions. Data was collected using 2 methods, namely walk through survey for irrigation infrastructure pillars and interviews for 4 other pillars including water availability, system management, institution and human resources. The assessment data was recapitulated and processed to obtain the IKMI. Then, decision making for the order of irrigation modernization development was conducted by using the analytic hierarchy process (AHP) method. The result of determining the IKMI was 69.05, so Belitang Irrigation System was categorized as less ready for modernization. This showed that the irrigation modernization needs to be postponed and the irrigation system is improved for 1-2 years. Furthermore, the results of the AHP analysis showed that the order of order of irrigation system development and improvement for irrigation modernization started from the Region of Belitang III, then Belitang I and Belitang II.
Potential of ciplukan extract (Physalis angulata L.) and patchouli waste (pogostemon patchouli pellet) as alternative sources of phytogenic feed additive
Authors: Daud M , Yaman M A , Usman Y , Aqmarina Y 
Published: February 2021

AbstractThis study aims to examine the potential of ciplukan and patchouli oil refining waste as alternative sources of phytogenic feed additive to replace the Antibiotic Growth Promotor (AGP) in livestock. The research was carried out by using the method of extraction and identification of phytogenic components of ciplukan and patchouli waste as well as in vitro for antibacterial and antioxidant tests of ciplukan leaf extract and patchouli waste. The variables observed were percentage yield, nutritional content, phytochemicals, phytogenic compounds, antibacterial inhibition and antioxidant content of ciplukan leaf extract and patchouli waste. Data analysis was carried out descriptively and tabulated according to the research variables. The results showed that the extraction using 96% ethanol solvent produced different yields, the highest yield was found in ciplukan, namely 9.75% and patchouli waste of 1.02% by weight of fresh ingredients. The nutritional content of ciplukan and patchouli waste respectively contains crude protein 27.79 and 14.19%, crude fiber 7.08 and 17.09%, fat 3.43 and 3.85%, BETN 27.46 and 40.87%, and the antioxidant content tends to be higher in ciplukan, namely 75.70% and 73.53% patchouli waste. Based on the results of the phytochemical test, patchouli waste extract contains bioactive substances in the form of alkaloids, flavonoids, phenols, tannins, saponins, steroids and terpenoids as well as essential oils, while the ciplukan extract does not contain terpenoids and essential oils. The results of the antibacterial test showed that patchouli waste extract had the largest inhibition zone against Escherichia coli and Salmonella bacteria compared to the ciplukan extract with an average diameter of 12.50 and 8.50 mm. Conclusion patchouli waste extract has the potential to be used as an alternative source of phytogenic feed additive because it contains phytogenic bioactive substances and can act as antibacterial.
Horticulture constraints in Aceh toward agricultural era 4.0
Authors: Kasimin S , Zakiah  , Mujiburrahmad  , Fadhliani Z 
Published: February 2021

Abstract
This study aims to: (1) present the characteristics of leading horticultural farming in Aceh, (2) compare the conditions of existing traits with those that should live in entering digital agribusiness, (3) identify the constraints in agribusiness to enter digital era, and (4) find the solution of the constraints. Descriptive analysis, tabulation, and comparison are used as the analytical tools in this study. The results show that leading horticultural agribusiness in Aceh have problems in adapting digital era because today’s agribusiness characteristics still outperform. Constraints are attributed to the internal factors of those who plays essential roles in agribusiness. Those factors are: older age of agribusiness actors, low educational attainment, unfamiliar with digital technology, and limited access to land and capital. This study find that government acts, such as improving social assistance, mentoring and coaching, are crucially needed to support agribusiness actors competing in digital era.
The construction of digital twin for reliability of liquid level volatile products
Authors: Yang DeZhen , Chen Jize , Ren Yi , Sun Bo , Feng Qiang , Qian Cheng 
Published: February 2021

Abstract
Due to the lack of air tightness and environmental stress, the liquid level volatile products will gradually volatilize, which will affect the performance and reliability of products. Due to the small volume, complex working environment, strong acidity of electrolyte and various electric environments, it is difficult to monitor the liquid level in real time, so it is impossible to predict the remaining life of such products. In view of this, this paper proposes a scheme to estimate the liquid level information and predict the remaining life of volatile liquid level products through reliability digital twin. First, a set of test device is designed to control the environmental factors of liquid level volatile products in real time and collect the information of liquid level height. Then, according to the product working environment and liquid level data collected by the test device in real time, a general mathematical model of liquid level volatile of products is fitted. According to the model, the twin mapping of this kind of products in virtual space can be built, which can make them have liquid level volatile products surplus life prediction ability. Finally, the digital twin real-time collects the actual use data of the product, and continuously evolves the remaining life prediction model of the product through learning, so as to improve the prediction accuracy and better guarantee the reliable use of the product.
Quality Big Data Analysis and Management Based on Product Satisfaction Index
Authors: Sun Y F , Lu A P , Zhuo L , Li G , Jia J , Liu W , Hu C J 
Published: February 2021

Abstract
The core idea of quality work is to create enduring quality by providing users with reliable, easy-to-use, and surprising products. In the Internet+ era, user demand for quality has changed with the times. Customers are no longer satisfied with the requirements of basic quality functions, and more in pursuit of ease of use, pleasure and even identity. Even if the product has "satisfied with the specifications" in quality, users are still dissatisfied and express their dissatisfaction through the Internet. If we can use the Internet, big data, artificial intelligence and other technologies to collect and analyze user expectations or dissatisfaction with product quality and find improvement directions, then quality management will see great progress. Based on this, we can create a new type of quality big data analysis and management system, which we can call the Product Satisfaction Index (PSI) management system. Through the analysis and transformation of PSI, the customer’s textual expectations are turned into numerical quantifiable indicators. Through the management of PSI indicators, quality big data mining and analysis are performed to improve the product to meet customer expectations. In advancing the product satisfaction index (PSI) indicator management system, we should fully implement the definition of PSI indicators, strategic position, data analysis methods, closed-loop management models, review and continuous improvement, and data platforms. Visualize customer needs, analyze the matching between product characteristics and customer needs, and promote continuous improvement of PSI indicators through closed-loop management. The new PSI index management method opens up new ideas and methods for quality performance management, and helps build high-quality development and create customer satisfaction.
Application on Damage Types Recognition of Civil Aeroengine Based on SVM Optimized by DMPSO
Authors: Bo Zheng , Xin Ma , Xiaoqiang Zhang , Huiying Gao , Jianhao Huang , Guoqing Chen 
Published: February 2021

Abstract
In order to recognize the damage types of aeroengine automatically and Reliably, enhance the support capability of aeroengine maintenance, the feature extraction method based on color moments and gray level co-occurrence matrix (GLCM) is proposed to construct the feature database of the aeroengine damage images. The support vector machine (SVM) is utilized as intelligent classifier for damages recognition. Meanwhile, a double-mutations particles swarm optimization (DMPSO) algorithm is designed to optimize the kernel parameter and penalty factor for guaranteeing the recognition performance of SVM. Finally, the feature databases are constructed by different feature methods according to actual four damage types of a certain aeroengine, and then the proposed SVM optimized by DMPSO is used to compare with back propagation (BP) network, extreme learning machine (ELM) network, and k-nearest neighborhood (k-NN). The recognition results have proven the proposed feature extraction method is more suitable for aeroengine damage recognition. Meanwhile, the comparison results have demonstrated the optimized SVM always has better and stable recognition output.
Reliability Evaluation of Li / SOCl2 Battery for Smart Electricity Meter Based on Remaining Capacity
Authors: Ye Xuerong , Sun Qisen , Li Haoxiang , Li Wenwen , Liu Li , Zhai Guofu 
Published: February 2021

Abstract
The life and reliability of the battery are the keys to ensuring smart electricity meters function properly during a power outage. This paper aims to study the capacity prediction and reliability evaluation methods of lithium thionyl chloride batteries for smart electricity meters based on capacity degradation model. The mechanism of capacity attenuation of backup lithium battery of smart electricity meters is introduced. An accelerated aging test method is proposed to study the influence of storage time, working condition, and temperature on capacity degradation. A semi data-driven model is used to describe the capacity degradation. According to the mathematical model, battery life under different storage conditions in the working environment of smart meters can be calculated.
An incipient consistency identification scheme of failure mechanism based on improved grey theory
Authors: Ye X R , Hu Y F , Si S , Feng R , Liu S R , Zhai G F 
Published: February 2021

Abstract
Accelerated degradation test (ADT) is an effective technique to quantitatively evaluate the life characteristics of high-reliability and long-life products. And the consistency of failure mechanism under different accelerated stress levels is the premise of ADT. In order to identify the consistency of failure mechanism as early as possible and improve the identification accuracy, an incipient consistency identification method of failure mechanism based on improved grey theory is proposed in this paper. Firstly, we reconstruct the background value through the calculation of the integral in the interval. Then the new information priority principle is introduced to improve the construction of initial values in the conventional grey theory. Subsequently, combined with the equal dimension model, the integrated scheme is employed to analyze the enhancement testing data of a resistor in a switching power supply to identify the mutation point of failure mechanism. Compared with the conventional GM (1,1) model, the proposed method has smaller residual, and another identification based on degradation model is also constructed to verify the feasibility and creditability of the proposed method.
Consistent robust design of bistable crystal cover relay
Authors: Huimin Liang , Xuqing Zhu , Jie Deng , Wei Tang , Hao Chen 
Published: February 2021

Abstract
Bistable crystal cover relays are widely used in aerospace and other electronic systems due to their outstanding resistance to mechanical environment. However, the bistable crystal cover relays have a complicated structure and are difficult to design and debug. There are still quality problems in this kind of relay such as low electromagnetic efficiency, small commissioning margin and large product dispersion. This paper aims at solving the problems of poor anti-interference of output characteristics caused by the imperfection of the reliability design. The finite element model of the electromagnetic system of the relay was established by using FLUX software and the electromagnetic characteristics of the relay were simulated and analyzed firstly. By comparing with the actual measurement, verified the correctness of the simulation results and guaranteed the accurate calculation of the experimental research. On the basis, this paper adopts the robust design method proposed by Taguchi Genichi to optimize the product parameters and tolerances of the relays. At present, the research conclusion is applied to the improvement of a certain type of aerospace electromagnetic relay. This paper provides necessary research means and basis for the robustness design of aerospace electromagnetic relay. The related methods and technologies can also be applied to the design of other electrical products.
Research on safety analysis and assessment control of dangerous materials transportation
Authors: Zhao Yong-Tao , Wang Yi-Dong , Li Ya-Fei 
Published: February 2021

Abstract
Aiming at the safety problems of flammable and explosive dangerous materials in the transport task profile, the types and characteristics of the transport environment were analysed. By using the method of fault tree safety analysis, the risk sources of the transport task profile were systematically identified, the basic events and risk factors that cause safety accidents were determined. And the risk factors were evaluated, the safety risk level was divided, and the control measures of transportation risk were put forward.
Full Scale Dent Rebound Testing of X65 Steel Linepipe
Authors: Sha Shengyi , Jia Guangming , Yan Bingchuan , Chen Pengchao , Pang Shengmin , Feng Qingshan 
Published: February 2021

Abstract
Dents in buried pipelines can be formed due to a number of causes: third party machinery strikes, rock strikes during backfilling, pipe resting on rock, and amongst others. Dents in pipelines would not only affect short and/or long-term integrity, but would also have a potential impact on the pass capacity of in-line inspection and cleaning tools when the size of the dent is large enough. Rebound for an originally constrained dent can decrease the dent depth and improve the pass capacity of in-line inspection and cleaning tools. In order to estimate the rebound capacity of dents especially in spiral weld pipelines, a full-scale dent rebound testing program of X65 steel pipeline was designed and performed. The full scale testing was conducted on the parent material and the spiral welds. Hemispherical and pyramidal indenters were used to generate dents to different depths. Strains around the denting area during formation of the dent and changes in depths due to rebounding after removing indenter were measured. Following each rebound test, the dent profile was portrayed with a 3D laser scanner and the maximum equivalent strain was then calculated. With the information obtained from the above measurements, detailed analyses were performed and a numerical model was developed. In this paper, the approach used for the study is described first. The results and findings are then presented. The effectiveness of the developed numerical model for dent integrity management is demonstrated.
Isolation Forest Wrapper Approach for Feature Selection in Software Defect Prediction
Authors: Ding Zhiguo 
Published: February 2021

Abstract
Software defect prediction is one of the hot research topics in the software engineering application. The performance of predictor largely depends on the quality of dataset used for learning the predictor. High dimensionality is a noteworthy characteristic of software defect dataset, which has some side-effect on the predictor building using data mining or machine learning algorithm. Feature selection, being an effective measure of dimensionality reduction, uses the optimal feature subset to represent the entire feature space and alleviate the dimensionality curse problem. In this paper, a wrapper feature selection approach applying genetic algorithm as a search strategy to find the optimal feature subset is firstly introduced. Secondly, an improved isolation forest based defect prediction method is proposed. The exploring experiments on 5 real NASA software defect datasets demonstrate the proposed method can improve the defect prediction performance to some extent and proves the positive effect of feature selection in SDP application.
Process design and optimization Of Two-Stage Axial Micro Turbine Air motor
Authors: Liu J , Guo Z P , Yuan Q , He X X , Miao S j 
Published: February 2021

Abstract
Based on the general machining center, a high-efficiency, mass-produced micro-turbine processing technology and a process scheme for improving metal removal rate are proposed to improve and optimize the metal removal rate of micro-machining. Taking the two-stage axial micro turbine air motor as the research object, the machining route of clamping the nozzle rotor is developed, and the metal removal rates of the turbine with the expandable surface when using the rounded end mill and the ball end mill are compared by the single factor analysis method. In the three processes of rough milling blade passage, finish milling blade and finish milling wheel hub, the metal removal rate of the rounded end mill is 2.96 times, 10 times and 2 times higher than the ball end mill, respectively. The Swarf finishing strategy of Powermill software is used to processing the side and bottom of the blade both roughly and accurately, and the suitable cutting parameters and side edge machining parameters are obtained. The surface roughness Ra of the side and bottom surfaces of the blade is tested to be 0.4-0.8μm using a surface roughness measuring instrument SJ-410. With the trigger type probe of the model Omp60, the dimensional tolerance of the blade is within 0.015 mm, and the coaxiality is from 0.002 to 0.003mm. The two-stage axial-type micro turbine air motor is assembled by the hot-packing method, and the torque and rotor speed are tested by a special platform. The results show that when the compressed air inlet pressure is 300KPa, the designed maximum speed of 100000rpm is satisfied, which meets the design requirement of the turbine motor and verifies that the numerical control machining process plan is feasible. Besides, the side edge machining of the blade using the cylindrical milling cutter is efficient to improve the metal removal rate. It also lays a foundation for the mass production of the two-stage axial-type micro turbine air motor.