bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Distribution Network Feeder Automation Technology
Authors: Ying Shi Shang , Yu Huang Shi 
Published: June 2020

Abstract
With the continuous improvement of socio-economic level, the current level of science and technology is also constantly developing. At the same time, China’s power industry is also developing at a relatively fast pace. The rapid development of the power industry has made vital contributions to the development of our national economy and the improvement of people’s living standards. In the development of the power industry, the automation technology of distribution network feeders is an important part of the development of power system automation. Therefore, the research and analysis of distribution network feeder automation technology must be carried out to improve the application level of distribution network feeder automation technology, so as to promote the modern development of China’s power industry.
Development of TCU Diagnostic System in Application Software Based on AUTOSAR
Authors: Luo Feng , Fang Xiaoying 
Published: June 2020

Abstract
Based on the diagnostic architecture of AUTOSAR, this paper presents the architecture of AUTOSAR diagnostic system and implementation of application fault diagnostic function. The interaction between the application software components and the BSW modules is emphasized. The hardware-in-the-loop test platform verifies that the development of application diagnostic system fulfills the requirements of design.
Gesture recognition smart home
Authors: Han Zhao , Cui Zhao 
Published: June 2020

Abstract
Different from the traditional smart home control method, this article uses the PAJ7620U2 chip gesture recognition to add to the smart home system.PAJ7620U2 gesture recognition can recognize 9 different gestures. Based on this performance, a simulated smart home system based on gesture recognition is designed. It contains home intelligent electronic photo frames, audio and video entertainment modules, intelligent security monitoring, ZigBee wireless communication environment detection, and light control. The experimental results show that the system is simple to operate and powerful, and is integrated into the traditional smart home control method without gaps.
Research on the application of artificial intelligence technology in the field of Justice
Authors: Mingtsung Chen , Shuling Li 
Published: June 2020

Abstract
With the progress of science and technology, the influence of artificial intelligence has gone deep into the judicial field. At present, the use of artificial intelligence in the court mainly includes information data-based, multi-body litigation service system, online dispute resolution platform, prediction and supervision of the results of entity judgment and other forms. At present, the application of artificial intelligence in the judicial field mainly includes the lack of authenticity and integrity of data, the limitation of its own characteristics by artificial intelligence, and the weak acceptance of judges. China’s courts at all levels are promoting the construction of "intelligent courts", which is an important part of the national network power strategy, as well as the embodiment of E-government in the judicial field. Through artificial intelligence technology, the judicial procedures such as service, signature, evidence, trial, debate, record and judgment in the process of litigation are managed and controlled in a unified way. However, there are many problems to be overcome in the application of artificial intelligence technology in the judicial field. Therefore, it is the foundation of long-term and steady development to find out the problems in time and propose solutions.
Summary of Application Research of Deep Learning in Operational Inspection of Transmission and Distribution Equipment
Authors: Chen Yufeng , Pei Shaotong , Liu Yunpeng , Liu Yijin , Lin Ying 
Published: June 2020

Abstract
With the continuous expansion of artificial intelligence in power system, the reliability, security and operation ability of power system have been greatly improved. With the massive collection of data for transmission and transformation operation and maintenance, in-depth learning, as a typical representative of data-driven in the system of artificial intelligence methods, is increasingly appearing in the application scenarios of intelligent state assessment of transmission and transformation equipment. Its excellent robustness can eliminate many kinds of interference in complex environment background, accurately identify and evaluate the target points under test, and greatly reduce the detection of transportation and inspection personnel. The workload of data analysis, processing, evaluation and other links can improve work efficiency and accuracy. This paper attempts to summarize the development process of in-depth learning, relevant landmark achievements and typical applications in the operation and inspection of power transmission and transformation equipment. This paper attempts to summarize the research progress of target recognition, target segmentation, image classification algorithms in depth learning in different spectral cameras of visible light, ultraviolet corona imaging and infrared thermal imaging.
Path Choice of Computer Network Development of Academic Journals in Internet New Media Environment
Authors: Hu Jianfei , Feng Liya , Cao Xin , Du Chuanli 
Published: June 2020

Abstract
Computer networking of academic journals refers to the traditional paper academic journals, which publish electronic texts at the same time as paper academic journals, so that relevant researchers such as experts and scholars can quickly and conveniently share journal results and information through network means process. In the internet new media environment, the computer network development of academic journals faces many problems and challenges. It is necessary to actively adapt to the development trend of internet new media, and better promote the computer networked development of academic journals through the construction of websites, academic platforms, and the use of WeChat platforms.
RETRACTED: Integrity verification of ADS-B navigation data source
Authors: Zhao Weiwei , Liu Duhui 
Published: June 2020

Abstract
The importance of data source integrity to ADS-B monitoring performance is analyzed in this paper, and the corresponding monitoring algorithm is given. At present, ADS-B monitoring data mainly comes from GNSS, and GPS, as the main component of GNSS at this stage, its public data is relatively easy to obtain. Therefore, GPS is selected as ADS-B data source, the integrity of the navigation data source is analyzed and the data of an airport is verified by simulation in this paper.
The combat application of queuing theory model in formation ship to air missile air defense operations
Authors: Zhong Zhitong , Zhang Lin 
Published: June 2020

Abstract
This paper is trying to analyze the dynamic process of air defense operations by using queuing theory synthetically, targeting at the firepower optimization and effectiveness evaluation in air defense operations of surface vessel formation. It also establishes the service model of intercepting air targets by single type and multi type ship to air missiles, and finally comes up with the optimization model of air defense firepower. Vaule for formation configuration, optimization of air defense firepower and effectiveness evaluation.
Evaluation model of enterprise operation based on BP neural network optimization algorithm
Authors: Zhang Yan , Hu Ziwei , Ji Li , Sun Nanlin , Lin Yuluo 
Published: June 2020

Abstract
The parameter selection of the traditional BP neural network (BPNN) has randomness, which makes the network prone to local extreme values during the calculation process. In order to solve this problem, this paper introduces the bat algorithm(BA) to optimize the parameter selection process of the BPNN and apply the algorithm to evaluate the enterprises’ operating condition, a corresponding evaluation model of the enterprises’ operating condition is established, and the evaluation model is applied to the prediction of the enterprises’ future operating condition and compared with the prediction effect of the traditional BPNN model. The prediction accuracy of the BPNN optimization algorithm is higher than the prediction accuracy of the traditional BPNN. The established enterprise operation evaluation model can effectively predict the future operation of the enterprise.
Representation Mode for Automobile-Oriented Customer Knowledge about After-sale Service
Authors: Li Yu 
Published: June 2020

Abstract
From the view of automobile after-sale service industry, this paper analyzes the connotation and characteristics of customer knowledge of this field, discusses on the method for acquiring customer knowledge of automobile after-sale service, and presents the ontology-based customer knowledge representation mode, thus ensuring the re-usability and consensus of automobile after-sales service knowledge.
Sorghum improvement program by using mutation breeding in Indonesia
Authors: Human Soeranto , Sihono  , Indriatama Wijaya Murti 
Published: June 2020

Abstract
Global climate change effects in agricultural fields often increase plant stress. For mitigating the negative effects of climate change, climate smart agricultural policies should be developed, for example, through the improvement of crop adaptability, productivity and quality in environments impacted by climate change. Attempts to increase crop genetic variability must be sought to aid in mitigating adverse consequences of climate change. For that purpose, mutation breeding plays an important role since it can increase genetic variation of important crops. By selecting desired mutant genotypes, the plant breeder can advance his or her germplasm by progressing lines with good adaptability, high productivity and quality under adverse conditions. For Indonesia, significant adverse impacts of climate change have appeared in some agricultural regions, such as prolonged drought problems in the east. To face the worsening conditions brought about by climate change and variability, a crop was sought that would require less agricultural input, being drought tolerant, having good adaptability and with high economic value. The choice fell on sorghum (Sorghum bicolor). In certain areas sorghum is recognized as a source of food, feed and fuel. Mutation breeding of sorghum has been conducted at the Center for Isotopes and Radiation Application (CIRA), the National Nuclear Energy Agency of Indonesia (BATAN). Sorghum mutation breeding is relevant to the National programme on food and energy diversification to support food and energy security in the country. The breeding objectives are to improve sorghum genotypes for improved yield and quality, and which tolerant to adverse conditions brought about by climate change, especially prolonged drought. Three sorghum mutant varieties have now been obtained and develop further by stakeholders. Sorghum cultivation in Indonesia has given significant impacts on mitigating the effects of climate change and supporting food and energy diversification program for maintaining food and energy security in the country. It has also promoted economic growth in the rural areas impacted by climate change.
Performance of soybean Grobogan-derived lines under citrus trees shade
Authors: Sundari Titik , Nugrahaeni Novita , Baliadi Yuliantoro 
Published: June 2020

Abstract
Developing soybeans through utilizing land between plantation crops, industrial forest plantations, and horticulture crops (including citrus plants) in agroforestry, agri-horticulture, agro-pastoral, and agro-silvopastoral systems need to be supported by the availability of adaptive varieties to the respective environment. For the reason, research aimed to evaluate the response of Grobogan-derived promising lines planted under the shade of citrus trees were carried out in the first dry season 2018. Citrus trees used in the study was 1.5 to 2.0 years old, located in Sembulung Village, Cluring District (L1) and Kradenan Village, Purwoarjo District (L2) Banyuwangi Regency. Ten promising lines derived from Grobogan variety along with Grobogan as the check variety were used in the study. In each location, the genotypes were arranged in a randomized complete block design with four replications. Each genotype was planted in a 12 m2 plot size, 40 cm x 15 cm planting space, 2 plants per hill. Results showed various genotypes responses to the environments as indicated by significant G x E interactions observed on yield and yield componens. Average yield in L2 was 3.25 t ha−1 and higher than that in L1 (2.86 t ha−1). GROB/IAC-453-7 line was consistently produced high yield in the two locations, i.e., 3.40 and 3.58 t ha−1 in L1 and L2, respectively; while GROB/PANDER-428-1 had a significantly larger seed size as indicated by it 100-seeds-weight 24.94 g (L1) and 26.51 g (L2), compared to that of Grobogan, i.e., 20.35 g (L1) and 24.61 g (L2).
Genotypic diversity, heritability and agronomic performance high-oil maize populations
Authors: Iriany R. Neni , Azrai Muhammad , Makkulawu A. Takdir 
Published: June 2020

Abstract
High-oil corn is has greater energy than normal corn. High-oil maize is a high negative genetic correlation between kernel oil content and grain yield. To obtain high oil content and yields maize varieties, breeding procedure design are needed to improve that kind of maize with wide genetic diversity. This study aimed to determine the genotypic variability, heritability, and performance of agronomic traits high-oil maize populations. 129 maize oil populations and three maize population as check varieties were tested in Maros Experimental station (South Sulawesi), and Jambegede Experimental station (East Java). The experimental design was used Randomized Complete Block design with two replications. Each population was grown in single row of 4 m length plot, spaced 70 cm between rows and 20 cm within row. The result showed that the location effect, genotype x environment interaction effect was significant for all traits. The Genotypic variance was considered narrow for all traits, expected maize length, number of rows per ear, and 1000-kernel weight. Broad-sense heritability was low for all observed traits, excepted for 1000-kernel weight. The 20 best populations based on the highest grain yield in both locations were selected from the basic population, MHOC0-9 had highest grain yield and MHOC0-112 lowest grain yield.
Identification of agronomic characters effecting cob weight of the families BTP1-X purple sweet corn (Zea mays L. Saccharata Sturt) using path analysis
Authors: Arsyad Fatimah , Basunanda Panjisakti 
Published: June 2020

Abstract
Food security and climate change in Indonesia pose their challenges for Indonesia. Germplasm exploitation is one of the solutions to solve these problems. Purple sweet corn is germplasm that has not been widely developed in Indonesia. Plant adaptation is important to comprehend so that plans can be developed. The study was conducted in two seasons, on the first season (February), this study was conducted in Cangkringan and on the second season (September) was in Pleret. The study was carried out using open-pollinated purple sweet corn seeds with 20 cobs selected based on the color of the seeds and the surface of the wrinkled seeds. Path analysis was performed to each variable to see the direct and indirect effects on the results. The results showed that the ability of the five growth variables influenced cob weight by 77.8%. Based on path analysis, it is known that the variable of cob length and cob diameter directly influences the cob weight. On the other side, the plant height, cob height, and the number of cob per plant have an indirect effect on the cob weight. The influence of the cob diameter variable on the cob weight gives the highest percentage compared to other variables, which is equal to 58.7%.
Genetic control for agronomic characters of bread wheat
Authors: Putri Nurwanita Ekasari , Wahyu E.K Yudiwanti , Sutjahjo Surjono H. , Trikoesoemaningtyas  , Nur Amin 
Published: June 2020

Abstract
Indonesian wheat needs continue to increase from year to year. Some regions of Indonesia have the potential for wheat development. This study aimed to obtain gene action of wheat agronomic characters in the context of developing tropical wheat. The study was conducted at the Experimental Garden of the Indonesian Ornamental Plant Research Institute (1100 m asl), Cipanas, Cianjur Regency, West Java from July 2017 to January 2018. This study used F2 Ja/Se population and two-parent genotypes (Jarissa and Selayar) were planted in a randomized complete block design with three replications. Observations were made on plant height, days to flowering, days to harvesting, number of productive tillers, panicle length, number of spikelet, number of main panicle seeds, main panicle seed weight, number of seeds per plant and seeds weight per plant. Estimation of number and action genes used skewness and kurtosis approaches. The results showed that broad sense heritability was high except unfilled floret ratio. There were additive, dominant, epistasis gene actions controlling all observed characters. These characters were controlled by many genes.
Biomass, sinensetin content, and α-glucosidase inhibition activity of orthosiphon aristatus were influenced by fertilization and harvest
Authors: Delyani Rista , Kurniawati Ani , Melati Maya , Nur Faridah Didah 
Published: June 2020

Abstract

Orthosiphon aristatus has been proved as a diabetic remedy due to its anti-hyperglycemic activity. One of its phenolic compounds, sinensetin, has a capability to inhibit α-glucosidase enzyme activity. As cultivation techniques play roles in the medicinal properties of plants, this study was aimed to determine the best fertilization and harvest method to obtain the high yield of dry leaves, sinensetin content and α-glucosidase inhibition activity. The experiment was conducted at Leuwikopo Experimental Farm IPB University, from October 2014 until April 2015 and used a split-split plot design with three replications. The treatments were the technique of organic fertilizer application (whole and split) as the main plot; harvest interval (3, 5 and 7 weeks) as subplot; and cutting height (10, 20 and 30 cm above ground level) as sub-sub plot. The results showed that the whole application of 10 ton ha−1 organic fertilizer produced the higher weight of O. aristatus dry leaves than split application. The crop produced a high weight of dry leaves with the 3- and 5-week harvest interval but produced high sinensetin content with the 7-week harvest interval. O. aristatus harvested by cutting at 30 cm above ground level produced the highest weight of dry leaves, sinensetin content and α-glucosidase activity inhibition.
Agronomic performance and yield of hybrid rice genotypes in preliminary yield trial
Authors: Kartina Nita , Rumanti Indrastuti Apri , Satoto  
Published: June 2020

Abstract
Research on hybrid rice in Indonesia began in 1983 with the aim of exploring the prospects and constraints of this technology. Until 2019 the Indonesian government through Indonesia Agricultural Agencies Research and Development has released 21 hybrid rice varieties. 42 hybrid rice genotypes and one check variety namely Hipa 18 were tested during the season of 2014 in Sukamandi Experimental Station. Randomized complete block design (RCBD) with three replications was used in each season. The results showed that variation due to genotype were significant for all traits except panicle length. Genotype by season (GXS) interactions cause differences in productivity. Twenty one hybrid rice genotypes were selected on productivity and selection index based on contributed traits of yield i.e tiller number, number of filled grain per panicle, 1000-grain weight, and productivity according to their relative weight. Those selected hybrids were HRDC 1440, HRDC 1415, HRDC 1404, HRDC 1407, HRDC 1431, HRDC 1421, HRDC 1434, HRDC 1438, HRDC 1423, HRDC 1414, HRDC 1426, HRDC 1429, HRDC 1443, HRDC 1441, HRDC 1406, HRDC 1408, HRDC 1446, HRDC 1422, HRDC 1445, HRDC 1417 and HRDC 1419. The productivity range of those hybrids were 6.1 – 10.2 ton ha-1. The selected hybrid rice genotypes can be evaluated further in advance yield trials.
Characterization of the multiple crossing tropical wheat “magic population” using SSR marker associated with physiological characters
Authors: Nur A , Syahruddin K , Abid M 
Published: June 2020

Abstract
Heat stress is a challenge in the development of wheat in tropical environments. Characterization of heat tolerant wheat lines based on physiological characters is still very rarely carried out in tropics, therefore early detection using heat stress linked markers related to physiological characters is very necessary in order to produce adaptive wheat varieties in tropics. The study aims to characterize wheat lines from the “magic population” crossing based on SSR markers related to physiological characters and identified by field observations. The research used 23 genotypes for SSR marker characterization and continued to field experiment using 10 selected genotypes with Guri-5 Agritan and Guri-6 Agritan varieties as check. The experiment was arranged in randomized block design with 3 replications. The results showed polymorphism on Xbarc84 and Xgwm285 markers at the genotypes number 203, 145 and 184. Xbarc84 markers could show a relation to flowering time on genotype 203 with longer flowering time and harvest time. Xgwm285 marker show relation to HTI at genotypes no.145 with no band was formed, and the genotypes show weakness on growing in the field and did not show any relation on genotypes no.184. Correlation analysis between characters showed that SRF, SL and NSp characters could be used as secondary characters for heat tolerance wheat selection.
The response of soybean (Glycine max (L.) Meer.) varieties from the tropical region to five watering regimes under a controlled environment
Authors: Apriyana Y. , Rakhmidewi E , Fichtler E , Whitbread A. 
Published: June 2020

Abstract
In some rice dominated tropical regions, such as in Indonesia, soybeans are an increasingly important dry season crop which are often exposed to periods of drought stress. The morphological and physiological responses, which could lead to some tolerance to water stress, may vary between varieties.. An experiment was conducted to assess the response of four varieties of soybean (glycine max (l.) Meer.) to five watering regimes, with the objective of determining the response of common soybean varieies across a wide range of water supply. Plant response to water supply was measured using gas exchange measurement with the rate of photo synthesis decreasing progressively from well watered to dry conditions across the four varieties. A correlation of stomatal conductance and transpiration rate has a close relationship with photosynthetic rate, where stomatal conductance of Burangrang variety has higher value than other varieties. Varieties Burangrang and Argomulyo stomatal conductances are higher value than those of Anjasmoro and Grobogan varieties. Under deficit water condition, the Argomulyo varieties have a higher value of transpiration efficiency and significantly different than the other three varieties. The transpiration efficiency significantly declined for treatments watered once every two or three weeks. The transpiration efficiency values of Argomulyo and Burangrang varieties were significantly higher than another varieties.