bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on SLAM Drift Reduction Mechanism Based on Point Cloud Segmentation Semantic Information
Authors: Lin Junqin , Chen Zhihong , Wang Yanbo , Liao Yu 
Published: June 2020

Abstract
This paper combines the semantic segmentation of scenes with Simultaneous localization and Mapping (SLAM) technology to build a three-dimensional semantic map. The input sequence is selected by ORB-SLAM for key frame selection, and the scene’s semantic segmentation is performed in the corresponding point cloud data. We use a new 3D segmentation framework, which can effectively simulate the local structure of point cloud. A drift reduction mechanism based on semantic constraints and Bundle Adjustment (BA) constraints was proposed. This mechanism considers the three-dimensional objects, feature points and camera pose for semantic recognition in the scene, and integrates them into the back-end BA to optimize them. The final experimental results show that compared with the current popular ORB-SLAM, this mechanism can reduce the system’s translation drift error by 18.8%.
Research on Virtual Roaming Technology of Urban Scene Based on Multi-mode Human-Computer Interaction
Authors: Zhang Chang , Lv Rumeng , Chen Xiaobing , Jiang Yujin 
Published: June 2020

Abstract
Virtual reality technology refers to the use of computer multi-body technology to simulate the environment from many aspects, such as human smell, vision, touch and hearing, so that people can have a sense of being in it in the virtual environment constructed by computer, and can obtain all kinds of information with the help of human-computer interaction.By combining virtual reality with somatosensory interaction using gesture recognition, speech recognition and other modes, this paper develops an immersive urban scene roaming system based on Unity3D multi-mode human-computer interaction, which gives users a near-real scene roaming and somatosensory interaction experience.
An Effective Adversarial Training and Prediction Network for Time Series Anomaly Detection
Authors: Liu Yuxuan , Duan Jiangyong , Meng Juan 
Published: June 2020

Abstract
Due to the scarcity and uncertainty of anomalies, anomaly detection becomes a challenging problem in communities. This paper proposes an effective time series anomaly detection network based on prediction and adversarial training. First, we employ LSTM model based on differential attention mechanism to fully extract the inner characters of time series. To prevent the over-fitting due to only normal samples used to train our LSTM model, we introduce an adversarial training strategy by adding adversarial samples to enhance the generalization of the model on normal data. The effectiveness of our model is demonstrated on several public datasets.
Analytic Compact Model of Short-channel Cylindrical ballistic GAA MOSFET Including SDT effect
Authors: Cheng He , Zhang Chao , Liu Tiefeng , Yang Zhijia , Zhang Zhipeng 
Published: June 2020

Abstract
We have proposed an analytic compact model describing the drain current characteristics valid in all operating regions, for ultra-short channel cylindrical gate-all-around metal-oxide-semiconductor field-effect transistors considering source-to-drain tunnelling effect. The drain-induced barrier lowering had been incorporated from one two-dimensional analysis in our previous compact model. In this study, to represent the energy level profile along the device channel direction into the Wentzel-Kramers-Brillouin approximation by substituting a parabolic function, we can analytically derive the expressions of the transmission coefficients for source-to-drain tunneling. In the subthreshold region, the source-to-drain tunneling current then can be evaluated using the Landauer formula. Finally, a fully analytic compact model is proposed for representing the drain current in all operating regions. The results compared with non-equilibrium Green’s function transport simulations can be obtained in a good agreement.
Tooth Surface Modeling and Stress Analysis of 3-DOF Spherical Gear
Authors: Zhang Litong , Lu Xianting , Wang Baichao , Zhang Xue 
Published: June 2020

Abstract
A new type of spherical gear is proposed, which is formed by combining the tooth profile of the plane involute annular tooth surface and spherical involute spherical cone tooth surface. 3-DOF of pitch, deflection and rotation can be realized without principle error transmission. Based on the forming principle of plane involute and spherical involute, the equations of annular tooth surface and spherical cone tooth surface are derived by coordinate transformation theory; Combined with MATLAB and Pro/E, the 3D accurate model of 3-DOF spherical gear was obtained, and the contact stress of tooth surface was analyzed based on the finite element method. The simulation results show that the stress concentration always occurs at the tooth root and the tooth top of the spherical and conical tooth surface under the condition of constant spherical distance and the same torque but different coaxial intersection angle, which can provide reference for the tooth surface modification and optimization of spherical gear.
Research and development of compacting process control system for bowl food
Authors: Liang Kai , Ai Changsheng 
Published: June 2020

Abstract
In order to solve the contradiction between the extrusion of solid and liquid food materials and the standardization of the volume of food materials in the bowl after compaction in the process of producing bowl food. Configuration touch screen and programmable logic controller are used as the control core of the system. Position parameters are obtained by photoelectric sensor. PLC drives the servo motor to make the linear module sliding block move, and drives the stepper motor to make the pressure plate rotate. Configuration of the touch screen to achieve the man-machine interface scheme. The force in the bowl is changed by adjusting the mechanical shape of the pressure plate. The controlled parameters of the execution program stored in PLC were obtained by orthogonal experiment. To realize the numerical control function of position, speed and force Angle in the process of food compression with digital precision. In addition, the mechanical structure of the spring cover plate is added to solve the problem of overflow of soup food materials from the bowl and its ring during the volume compression of solid and liquid food materials in the bowl.
Cluster heatmap for detection of good tolerance trait on doubled-haploid rice lines under hydroponic salinity screening
Authors: Anshori M F , Purwoko B S , Dewi I S , Suwarno W B , Ardie S W 
Published: June 2020

Abstract
The development of salinity tolerant varieties can be done by using doubled haploid technology. In the determination of the salinity tolerance trait, hydroponic screening at the seedling stage is the most common screening method. However, it needs improvement on the assignment of the tolerance traits. Cluster heatmap analysis has been reported to select lines by combining various data. The objective of the study was to select tolerant doubled-haploid rice lines to salinity stress at the seedling phase and evaluate the use of cluster heatmap analysis by combining tolerance score and growth characters. The study was conducted in a greenhouse using a nested factorial design (repetition nested in NaCl concentrations), with 3 replications. The plant materials used consisted of 62 genotypes and NaCl concentration levels consisted of 0 (1 dS/m) and 120 mM (13.3 dS/m). Hydroponic cultures used a Yoshida solution. Each container contained 14 experimental units and 2 units of check i.e. sensitive and tolerant controls. Observations was carried out on tolerance scoring and growth parameters. The results showed that tolerant and moderate genotypes have a lower pattern of decline than sensitive genotypes, especially in shoot-related characters. Based on the cluster heatmap analysis, there were 38 doubled haploid rice lines considered good tolerance traits under saline condition. The cluster heatmap assignment was considered more selective than only focused on tolerance score, especially in negative selection to sensitive lines.
Genetic analysis and selection of short harvest period in F2 population of mungbean
Authors: Marwiyah S , Sutjahjo SH , Trikoesoemaningtyas  , Wirnas D , Suwarno WB 
Published: June 2020

Abstract
The short harvest period is one of the major focuses of mungbean breeding programs. Improvement of harvesting period can be reached by recombination among the best parents. The objectives of this research were to study performance, genetic inheritances, identified and to select of transgression segregants for short harvest period in F2 (Lombok x No.129) population. This research was conducted in Leuwikopo-IPB Farm, Bogor, Indonesia, from March to July 2019. The genetic materials were F2 (538 plants), Lombok/P1 (40 plants), No.129/P2 (40 plants) and F1 (40 plants). The results showed that the mean values of the F2 population were early than parents for plant age traits, respectively days to first pods maturity, days to 90% pods maturity, and harvesting period. Seed weight and the number of pods characters increased from parent mean values. Harvesting period was dominated by genetic (h2
bs >55%) with wide genetic diversity, and controlled by additive-duplicate epistatic gene action with many genes (polygenic) involved. Transgressive segregation for harvest period divided into 84 plants as short that harvested less than 14 days, 258 plants as medium (14-28 days), and 196 plants as long (>28 days). Short harvest period selection gives out high genetic advance (20.759%).
Genetic Variability in West Timor Landrace Maize Populations
Authors: Hosang Evert Y , Syamsuddin  , Pabendon Marcia , Sutherland Mark 
Published: June 2020

Abstract
Genetic variability information, which is a heritable difference among maize cultivars, is important to a long-term plant breeding program. In the last decade a number of researchers have studied the correlation between phenotypic and genetic variability in maize by using Deoxyribonucleic Acid (DNA) markers. Maize landraces as maize cultivars grown ‘on farm’ by farmers who reproduce their seed every year, and they can be distinguished by specific traits, so maize landraces are composed of widely variable populations, where the variation can be seen between and within populations. Five white maize landrace seed samples were obtained from five farmers in each of three villages, Nunmafo, Amol and Ajaobaki; five yellow landrace maize seed samples were obtained from five farmers in Nunmafo village only; while the five certified improved open pollinated varieties (Lamuru, Piet kuning, Bisma, Harapan, Kalingga) were obtained from the Indonesia Cereal Research Institute (ICRI) Maros. The banding patterns of the samples’ fingerprint were evaluated in the scoring range of 50-700bp fragment weight using fragment size standard ladder (Figure 6.3). Image data was viewed on the computer screen and saved in the SAGA computer program. The gel images were scored manually in Excel 2010 program for presence (score 1) or absence (score 0) of bands, and the binary data used for further analysis. The results of this study for AFLP analysis of West Timor maize landrace populations from three villages and varieties have confirmed that there are extensivegenetic variations within West Timor yellow and white maize landrace populations and varieties. There were two clusters of genetic variation among all samples. The first cluster was a general West Timor maize landrace population, with more than 80% similarity among individuals, and the second cluster was amuch more diverse grouping with less than 80% similarity. It suggests that even though a high molecular diversity had been found among West Timor maize landrace populations most maize genotypes belong to a West Timor maize landrace cluster. In addition the analysis indicated not only significant difference between maize landraces and maize varieties but also maize landraces from the three villages were genetically significantly different from each other. The molecular marker characterization of West Timor maize landrace populations will be a key step for obtaining an improved understanding of the population so they can be managed carefully for the future. Moreover, due to the genetic diversity captured within local landraces, farmers have the opportunity to perform the phenotypic selections based on plant type and seed yield which are likely to give them significant genetic gain in yield in subsequent seasons. Plant breeders have the additional opportunity of applying molecular marker techniques to assist selection.
Morphological characterization of sorghum lines with aluminium stress and phosphorus deficiency tolerance
Authors: Rini Erin P. , Rachman F. , Wirnas D. , Trikoesoemaningtyas  , Sopandie D. 
Published: June 2020

Abstract
Sorghum has a good adaptation in marginal land, such as acid soil. The development of acid soil tolerant variety was directed to combine with Al stress and P deficiency adaptation. Characterization of the qualitative and quantitative traits was necessary to obtain the line performance information. The traits were expected to have a distinct, uniform, and stable traits as a requirement for variety registration. The purpose of this research was to obtain information about the quantitative and qualitative character of F9 sorghum lines. The study was conducted from March to July 2019 at Cikabayan Bawah Experimental Field, Plant Breeding Laboratory, and Micro technical Laboratory, Department of Agronomy and Horticulture, IPB University. Randomized complete block design with genotype as a treatment factor was carried out in this experiment. Analysis of variance showed significant differences in quantitative and qualitative traits in sorghum lines. There were variations in the qualitative and quantitative traits observed. Based on cluster analysis, Sorghum lines and check varieties formed three groups. group 1 (Super 2), group 2 (170-9, 151-8, dan 114-7) and group 3 (67-9, 104-7, 115-9, 286-6, 331-8, and Numbu). Three promising sorghum lines were identified for varietal release, i.e., 114-7, 115-9, and 331-8.
Evaluation of yield and agronomic components of three-way cross maize hybrids under low-light environment
Authors: Andayani NN , Riadi M , Rafiuddin  , Kalqutny S H , Efendi R , Azrai M 
Published: June 2020

Abstract
The development and the use of low light tolerant varieties is one of the technologies to overcome the limitations of hybrid maize in the land with the low-light condition. The objectives of the study were to determine the effect of shading/low light intensity on the growth and production of three-way cross maize hybrid, as well to generate hybrid variety that is tolerant to the shade stress condition. The research was conducted under two different environmental conditions, i.e. Screen House environment with 35% of paranet shading condition, and normal environment condition at Indonesian Cereals Research Institute experimental station from July to October 2018. The research was arranged in a Randomized Block Design (RBD) with three replications. The research material consisted of nine three-way crosses (STJ01-STJ09) and two check varieties (Bima-19 and P35). The results indicated that as many as four genotypes performed high yield under 35% shading condition i.e. STJ01, STJ02, STJ06 and STJ07 which yielded 5.60; 6.55; 5.87 and 6.15 t/ha respectively. Correlation analysis indicated various traits have a direct effect on grain yield i.e. ear weight, kernel net weight, ear length, number of kernels per row and kernel weight per ear. As for shading condition, the positive correlations were found for ear weight, ear length, number of kernels per row and kernel weight per ear characters.
Performance and estimation genetic variability of M3 pearl millet (Pennisetum glaucum) populations
Authors: Maryono MY , Sihono  , Indriatama W M , Human S 
Published: June 2020

AbstractImprovement of agronomic characteristics of pearl millet plants such as short plants and high production can be done through plant breeding techniques. The success of plant breeding programs is largely determined by the availability of genetic variability. The application of gamma-ray irradiation is used to increase the genetic variability of pearl millet plants. This study aims to determine the genetic variability and performance in the population and to predict genetic parameters in several characters of pearl millet plants in M3 generation. The research material used was M2 seed from gamma-ray irradiation at doses of 0, 100, 200 and 300 Gy. The observed characters were plant height, the number of nodes per plant, stem diameter, panicle length, panicle diameter, panicle weight of seed weight per panicle and weight of 1000 seeds. The study was conducted from February to April 2019 at Center for Application of Isotope and Radiation, National Nuclear Energy Agency. Through estimating variance, characters that have high heritability and GVC values are not obtained in the four populations (0, 100, 200 and 300 Gy) so that selection cannot be done. The pearl millet phenotype in the M3 generation is more influenced by environmental factors compared to genetic factors, and, therefore, selection is not effective in the M3 generation. Purification in the next generation needs to be done. However, in the populations of 200 and 300 Gy start look potentially to be selected in the next generation.
Yield productivity test and morphological characterization of 19 sorghum lines resulted from mutation breeding
Authors: Indriatama Wijaya M. , Garnita Galuh S. , Setiadi Teguh , Sihono  , Human Soeranto 
Published: June 2020

Abstract
Sorghum has high potential and prospective to be cultivated and developed, along with increasing food and energy needs in Indonesia. Sorghum mutation breeding aimed to increase the variation, improve the yield and quality as food, raw materials bioethanol (energy) and animal feed. Yield productivity tests and morphological characterization play an important role in the preparation of adaptation tests as well as identifying character variations for the release of crop varieties. The research aims to test the yield productivity and characterize 19 sorghum mutant lines. The research was held from March to June 2016 at the Cibadak Research Station, BB-Biogen, Cipanas. The study used Augmented Design with 19 mutant lines (GHP-21, GHP-22, GHP-24, GH-25, GH-26, GH-27, GH-28, GH-29, GH-30, GH-31, GH-32, GH-33, GH-34, GH-35, GH-36, GH-37, GH-38, GH-39, and GH-40) and 3 national sorghum varieties as Control (Samurai-1, Samurai-2 and Super 2) as treatments. The observed parameters include plant height, number of leaves, stem diameter, time to flowering, panicle length, panicle weight, dry panicle weight, and a thousand seed weight. As for characterization, additional parameters were observed, including observations on the leaves, pistil, husk, panicle, and seeds. The results showed a noticeable difference in all the agronomic characters observed. There is GH-25 mutant line with the highest stem. The GH-40 line shows the earliest ripening. The GH-34 line saw the largest diameter. The GH-35 mutant line has the longest panicles. For the production observation parameters; panicles weight, dried panicles weight, and a thousand seeds weight, GH-33 line, GH-31 line, and GH-27 line have had the best results. Characterization results suggest that 19 sorghum-observed mutant lines have a sufficiently high degree of morphological similarity. The cluster analysis demonstrated by the level of similarity by 86%.
Yield performance of 60 maize testcross hybrids with CML161-Nei9008 as tester at two trial locations
Authors: Andi Takdir M. , Sigit Budisantosa , Muzdalifah Isnaeni , R. Neni Iriany M. 
Published: June 2020

Abstract
The interaction between genotype x environment is an essential knowledge for plant breeder to know and utilize, because performance of genotype at multiple environment can obtain different yield result. Constrain in achieving similar result due to genotype x environment interaction can cause difficulties in maize breeding program, even though analysis of this interaction is widely used to estimate how far the adaptability and stability possessed in a genotype. This study used sixty testcross hybrid genotypes, which were tested based on its yield performance at two locations (Muneng experimental station in East Java and Bajeng experimental station in South Sulawesi) during dry season of 2017. The objective of the study was to evaluate performance and Genotype x Environment interaction of 60 hybrids obtained from testcross with tester CML161-Nei9008. Experiment was arranged in a Randomized Complete Block Design with three replications and four check varieties (Bima 3, Bima 7, Bima 9, and Bima 10). Combined analysis for yield and yield components was carried out following standard procedure for maize yield trial. This study revealed a highly significant Genotype x Environment Interaction for yield of all genotypes. CML2017042 was found to have the highest yield potential and most suitable to be developed in Muneng. Another high yielding line, CML2017040, performed high yield potential and good adaptability at both Muneng dan Bajeng. Yields of those two genotypes (CML2017042 and CML2017040) were 15% higher compared to all check varieties.
Evaluation of hybrid corn genotype on productivity improvement to support national food availability
Authors: Erawati B T R , Hipi A , Makkulawu A T , Azrai M 
Published: June 2020

Abstract
Potential lines need to be tested to produce new superior varieties of hybrids with high yield potential to increase corn productivity. The purpose of the research is to produce a single cross-strain has the appearance of a good agronomist, double cob and high yield potential, as a candidate release of varieties. The study began in April to July 2018. Experimental site in the Lembar village, West Lombok Regency, West Nusa Tenggara Province. Eight crosses of a single cross-tested all showed the appearance of a good agronomist, in accordance with the criteria of belonging to four varieties comparison (Bisi-2, Nasa-29, HJ-21 and Bima-3). There is one the crosses cross-E2 x Mr14 was good combiner for double ear with the percentage exceeded 28% per ha. There are four single cross-E 2 X Mr 14, E 1 X Mr 14, E 65 X Mr 14, MS 3 X Mr 14, which has a high yield potential with the weight of the dried seeds > 13 ton/ha. There are four potential lines that can be released as a new high yielding varieties.
Breeding of abiotic tolerant varieties with high grain quality to meet the consumer preference at rice swampy land
Authors: Rumanti IA , Nafisah  
Published: June 2020

Abstract
Acid sulfate is common constraint in swamp rice land, however, salinity and submergence become a problem as well especially in the coastal part. Hight yielding and tolerant varieties were one of cheaper technology could be adopted by farmers to cope with the problems. Screening were the starting point in the steps of breeding programs. There were 41 lines identified tolerant to acid sulfate, while under salinity there were 37 lines had tolerant to salinity stress up to 12 dSm−1. Among the lines, 6 promising lines were adaptive to both stresses, such as B13981E-KA-34, B14316E-KA-48, B13134-4-MR-1-KA-1, B14354E-KA-2, B14339E-KA-27, and B14357E-KA-48. Besides the yield and tolerance, grain quality was also important to be evaluated to meet consumer preference. There was variation for amylose content among the lines because Indonesian farmers had a wide range of texture preference. The selected lines have moderate amylose content, varied from 20.72 to 24.92 %. Most of the lines were slender with medium shape, and no chalkiness. There were two lines which had small shapes, such as B13983E-KA-12-2 and B13578E-KA-5-B. It seems meets the preference of Kalimantan farmers who prefer small and long-grain, as same as Siam type