bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel LOS Rate Estimation Method Based on Images for Strap-down Inertial Guidance
Authors: Xu Zheng , Luo Haibo , Hui Bin , Chang Zheng
Published: June 2020

With the development of technology, precision guided weapon is becoming more and more important in modern war. In order to launch our recent guidance system on medium and small guided weapons, we propose a method to obtain the LOS rate by combining information from both camera and gyroscope. To be specific, we firstly calculate the body LOS angle through transforming the image pixel coordinate system into the image physical coordinate system according to camera internal parameters; then subtract the missile motion information contained in the measurement signal of the seeker and finally the LOS rate is deduced. Comparing with traditional gimballed seekers, our strap-down seekers with camera have significantly reduced costs and influences caused by external environments on platform.
Research on RSA Padding Identification Method in IoT Firmwares
Authors: Mu Chao , Yang Ming , Chen Zhenya , Wang Biao
Published: June 2020

Cryptography is a fundamental mechanism for security, various cryptographic algorithms are widely used in IoT firmwares, and identifying cryptographic algorithms is paramount for IoT security. RSA algorithm is the most popular asymmetric key cryptographic algorithm in use. Insecure RSA padding mode may result in padding oracle attack, causing certificate leakage, random number prediction, and plaintext recovery. In this paper, we show how to extract binaries from IoT firmwares, then describe 7 padding modes in RSA algorithm, and identify RSA padding in two methods -- function-name matching and IR expression constant analysis. We use Angr VEX model to translate specific code block into intermediate representation, and analyze their constant value to track RSA parameter int padding. We collect and filter 159 firmwares from 6 different vendors, analyze 7 kinds of RSA paddings using function-name matching, and 4 kinds of RSA paddings in RSA functions which contain parameter int padding using IR expression constant analysis. Then we identify 335 RSA paddings, and find out that flawed padding is still broadly in use in IoT environment.
Research on the Integration of Artificial Intelligence and Education
Authors: Qian Suping , Feng Qiming
Published: June 2020

With the development of big data intelligence, deep learning, brain-like intelligence, autonomous control and other new generation of artificial intelligence technologies, the integration of artificial intelligence and education has become an inevitable development trend. Intelligent education system, such as virtual reality, educational robot, intelligent tutoring system, online learning system, learning analysis and so on, needs the seamless integration of human and machine cognitive intelligence. Understanding-based teaching is the fundamental way to realize the high integration of human and machine cognitive intelligence. In this paper, the experimental research of understanding-based teaching is carried out, and the results show that understanding-based teaching in the network environment can promote the development of students’ creativity more than traditional teaching.
Rain Removal from images based on Computer Vision and conditional Generative Adversarial Networks
Authors: Li Yunfei , Wang Lidan , Chen Taixing , Wang Ziyuan , Duan Shukai
Published: June 2020

In view of the quick development of modern computer technology, more pictures of natural scenes have been collected and analyzed for application in military fields, scientific research, and computer vision fields related to object detection. However, the sharpness of these pictures collected will be affected by rain and snow, which will reduce the visibility of things in the pictures. This will not only affect the viewing, but also affect scientific research fields such as autonomous driving and video surveillance. Therefore, the research on image rain removing is very practical. An improved algorithm model named pixel-GAN is proposed in this article, which based on conditional Generative Adversarial Networks (cGAN). This new method regards the problem of removing rain from specific images as the style conversion problem. What we improved is that a VGG-16 module is added to the original network to extract perceptual loss as a new part of the loss function. We show the excellent rain-removing ability of the improved algorithm and also illustrate the reason why we add the perceptual loss. Compared with other existing methods, there is no need to set a prior model, the training speed is faster and the proposed model finally generates higher quality pictures.
Research on image processing based on pattern recognition
Authors: Peng Kai , Chen Jing
Published: June 2020

Image processing is to transform the image into digital matrix by mathematical formula, then store the data in the computer, and enhance the source bitmap by computer, including gray-scale processing, median filtering and binarization. Then the image is cut, including contour edge processing, seed filling and so on. In this paper, the image is recognized and processed based on pattern recognition, and then a pre classifier is designed to build a system model of fruit intelligent classification. After the fruit is taken by industrial camera, the corresponding image processing and feature value extraction are carried out. Then the extracted eigenvalues are used for classification. Through this method to achieve a variety of fruit classification effect.
Research on the Application of Electronic Information Technology in the Internet of Things
Authors: Kejin Wang , Wenhui Sun , Aichun Zhu
Published: June 2020

In the current era, with the continuous development of China’s science and technology, the development of electronic information technology has also been significantly improved. Electronic information technology plays an irreplaceable role in people’s daily production and work, which helps to entirely improve work efficiency. In addition, the Internet of Things technology has developed rapidly in Internet era. In the process of the Internet of Things technology, electronic technology has a good role in promoting it. Therefore, the use of electronic information technology is very important and helps promote the comprehensive development of the Internet of Things in the current era.
Filter Order and Transmission Zeroes Calculation of Crosscoupled Resonator filters
Authors: Qi Li-hua , Xing Dong-qiu , Wang Rui , Li Yan-ni
Published: June 2020

Determination of filter order and transmission zeroes is the precondition of synthesizing cross-coupled filters. Firstly, we propose a method to determine them according to given filter specifications using Genetic Algorithm. The effective objective function is proposed for Genetic Algorithm. We can obtain the least filter order and the optimum locations of transmission zeros to fulfil filter specifications by this method.
Influence of Tower Line Coupling Effect on Stress of Iron Tower in Mining Area
Authors: Zhang Hongjie , Yang Fengli , Yang Gang , Lu Zhumao
Published: June 2020

During the deformation process of power transmission iron tower base along with the ground surface settlement, the conductor and ground wire can support the iron tower structure to some extent. Through defining the influential coefficient of coupling effect of tower line, we have obtained the influential coefficients of coupling effect of tower line under two working conditions, i.e. base settlement and horizontal slipping, and evaluated the influence of the tower line coupling effect on bearing performance of iron tower during the base deformation process. The research shows that the shaft force of main material of tower leg during the base deformation process is slightly increased, and the increasing amplitude is within 10%, and the influence of the tower line coupling effect on the bearing performance of iron tower during the base deformation process can be neglected basically.
Research on Entrepreneurship Policy of College Students Based on Quantitative Analysis of Text Data Mining
Authors: Xu Jie , Liu Fei
Published: June 2020

Encouraging college students to become entrepreneurs has become the policy orientation of many countries including China and entrepreneurship policy is an important macro environment for college students to innovate and engage in entrepreneurial activities.This paper focuses on the entrepreneurial policy of college students in Changzhou. Based on text data mining and big data, it analyzes the quantity, form, subject, theme and use of policy tools in Changzhou and discusses the macroscopic development trend and logical path of Changzhou college students’ entrepreneurial policies. Provide theoretical guidance for the analysis of policies in the future through the construction of, the check of, and the classification of text big database.
Stacked Attention Recurrent Relational Networks for Question Answering
Authors: Liu Pei , Xiang Chao , Jia Dan , Zhao Xiaoyu , Meng Weiye , Wang Jianxiu
Published: June 2020

Relational reasoning is ability to reason about entities and their interactions, which is not applicable for many deep neural networks. Recurrent relational networks, introduced by Palm et al. (2017), increase the complexity of the reasoning tasks they can address [1]. In this paper, we introduce Stacked Attention Recurrent Relational Networks (SARRN) to answer natural language questions from facts, which fundamentally hinge on multiple steps of relational reasoning and improve the ability of reasoning. Our model is a stacked attention model that use recurrent attention to focus on fine-grained parts of the documents. We apply our model to the BaBi tasks, which have a set of proxy tasks that evaluate reading comprehension via question answering. Our model solve 19/20 tasks and the experimental results on the test sets tasks show that our model yields great improvement. We also use qualitative analysis to show the result intuitively.
Simulation analysis the aerodynamic characteristics of variable sweep wing missile
Authors: Li Yu , Yi Lin , Ao Yuntu , Ma Liangzheng , wang Ying
Published: June 2020

When the sweep of the variable sweep folding wing missile changes, the lift-drag ratio is improved so that the missile is able to adapt to subsonic flight, transonic flight and supersonic flight. This paper designs different 3D models of variable sweep wing missile aerodynamic shape and completes the aerodynamic characteristics analysis of the missile by CFD according to the Basic Aerodynamics, Missile General Design Principle, Flight Dynamics of Missile. The simulation analysis of the missile in different flight conditions with different sweeps is carried out, and the wing sweeps applicable to different flight conditions are summarized.
HAZOP_LOPA-based operation process risk analysis and management research
Authors: Qu Jing , Zhang Mingxing , Zheng Dengfeng , Ning Shuangsheng
Published: June 2020

At present, HAZOP analysis and LOPA analysis are widely used to analyze and control the risk of process flow, but few people manage HAZOP and LOPA for risk during operation. Through the research of HAZOP and LOPA analysis methods, combined with long-term work experience in the field, the author proposes to combine HAZOP and LOPA analysis methods into operational process safety risk analysis, and use the same subject expert team to identify the risks in the operation process. Control and control results also help to re-revise the operating procedures, conduct risk management and control from the operational level, and improve the completeness of safety evaluation. This paper introduces the basic method of HAZOP_LOPA joint analysis operation process, clarifies the analysis points, and lists the commonly used 8 types of guidance words. Finally, the risk of maintenance and maintenance operation of quick-open blind filter is analyzed by examples. The results show that Based on HAZOP_LOPA, operational risk analysis can quantitatively evaluate the reliability of existing protection measures, eliminate or reduce safety risks, and achieve safety risk review of operational procedures. This method improves the reliability of operating procedures and enhances the safe operation level of employees. It is of great significance.
Vibration Analysis of Gear with Asymmetric Teeth and Double Pressure Angles based on Transient Stiffness and Transfer Error
Authors: Li Huachuan
Published: June 2020

Transient stiffness formula of dynamic load of asymmetric gear is deduced. Considering the effect of transient stiffness and transfer error, the formula of dynamic load of asymmetric gear is deducted and programmed using MATLAB, the variation regulation of dynamic load was obtained. That is the foundation of doing transient EHL analysis of asymmetric gear. The asymmetric gear model program has been made using VBA, and modal analysis of asymmetric gear has been done using ANSYS, which is the foundation of dynamic response of structural calculation and analysis.
Wind-ice Joint Probability Distribution Analysis based on Copula Function
Authors: Yang Fengli , Zhang Hongjie , Zhou Qi , Liu Shanshan
Published: June 2020

Taking the wind speed and ice thickness field measurement data in Southwest China during November 2016 to March 2018 as analytical sample, the probability distribution of the wind speed and ice intensity were analyzed and fitted by using Gumbel distribution model, Weibull distribution model and Generalized extreme value distribution (GEV) model, respectively. The goodness of fitting results had been compared. After the determination of marginal distribution functions for wind speed and ice intensity, 500-year pseudo wind speed and ice intensity samples were generated based on the Monto Carlo method. Five Copula functions were employed in the construction of joint probability distribution function and the most suitable Copula function was chosen for building the wind-ice joint probability distribution model. On the basis of the model, the return periods for 30 years, 50 years and 100 years had been calculated, respectively. The analysis results show that the GEV model well matches the characteristics of wind speed and ice intensity. As for binary Copula function, the Frank Copula function has the best goodness for the joint probability distribution of wind speed and ice intensity. The return period calculations show that the design value of wind-ice joint return period (JRP) is larger than that of co-occurrence return period (CRP) and the value of Kendall return period (KRP) is between that of JRP and CRP. Considering that the dangerous areas of return periods are different, the return period for design should be determined by the combination analysis of different kinds of the return periods. Meanwhile, the importance and the failure results of the project should be taken into account.
Analysis of the Testing and Evaluation Rules for the Carrying Capacity of Highway Bridges
Authors: Zhao Fengli , Zhang Yang
Published: June 2020

Combining with the understanding of the "Procedures for Testing and Evaluating the Carrying Capacity of Highway Bridges" (JTG/T J21-2011) and practical engineering applications, it is found that there are some deficiencies in the process of carrying out the carrying capacity testing and evaluation of bridges by using the "Procedures for Testing and Evaluating the Bearing Capacity of Highway Bridges" Some points, such as the difference in the calculation results of the bearing capacity check coefficient Z1, the ambiguity of some concepts in the specification, and the actual operability still need to be improved, etc., and put forward some suggestions for these problems.
Research on Motion Blur Image of Infrared Target Deblurring Based on Wavelet Transform
Authors: Li Jing , Wang Liqian , Xu Bing
Published: June 2020

Aiming At Removing the Motion Blur to Restore Images, a deblurring Method of Infrared Image Based on Wavelet Transform is Proposed. Determining Whether There is Motion Blur by Using Wavelet Transform to Extract and Analyze the High Frequency Information of Level Subband; Blur Direction and Blur Length Are Calculated by Rotating the Image; the Image Deblurring and Recovery Are Completed by the Optimization Program of Wiener Filtering Algorithm. the Experiments Show That the Proposed Method Can Effectively Removes Motion Blur, and Provide Clear Infrared Images for the Next Image Processing, It Has the Characteristics of Strong Robustness, Good Real-Time Capability and Higher Application Value.
Image classification model based on GAT
Authors: Xu Binghui , Ding Sizhe , Zhang Yan
Published: June 2020

In the field of image classification, graph neural network (GNN) is a kind of structured data modeling architecture with larger functions. However, there are still some problems, such as low efficiency of updating nodes, fixed network parameters and the inability to effectively model the information features of some edges in the graph. In order to solve these problems, this paper introduces attention mechanism on the basis of GNN to improve it, proposes a graph attention network (GAT), establishes a double-layer GAT model, and uses regularization method in model iterative training to achieve image classification. The model is applied to three datasets for experiments. The experimental results show that the average classification accuracy of the proposed model is high and it has good application performance.
A Semi-active Vehicle Suspension Control Strategy Based on Negative Stiffness Characteristics
Authors: Wen Shuyuan , Feng Zihao , Song Mingrui
Published: June 2020

A suspension is an indispensable part of a vehicle. It is of great significance for passengers’ comfort and vehicle stability. This paper proposes a semi-active vehicle suspension model with negative stiffness, and analyzes the effect of negative stiffness characteristics upon vehicle response. When analyzing the performance of semi-active vehicle suspension, a quarter vehicle suspension model is established, and the space state model is built for numerical simulation. After contrasting and analyzing the response of semi-active passive suspension with negative stiffness and semi-active suspension controlled by Skyhook damping algorithm, we conclude that semi-active suspension with negative stiffness decreases the vibration speed of the vehicle body and the deflection of the tire in the low-frequency stage, and improves the smoothness and stability of the suspension. Hence, the negative stiffness characteristic is beneficial to improve the comfort and stability of the vehicle.
An Efficient and Wear-Leveling-Aware Frequent-Pattern Mining on Non-Volatile Memory
Authors: Dong Jiaqi , Zhang Runyu , Yang Chaoshu , Tan Yujuan , Liu Duo
Published: June 2020

Frequent-pattern mining is a common approach to reveal the valuable hidden trends behind data. However, existing frequent-pattern mining algorithms are designed for DRAM, instead of persistent memories (PMs), which can lead to severe performance and energy overhead due to the utterly different characteristics between DRAM and PMs when they are running on PMs. In this paper, we propose an efficient and Wear-leveling-aware Frequent-Pattern Mining scheme, WFPM, to solve this problem. The proposed WFPM is evaluated by a series of experiments based on realistic datasets from diversified application scenarios, where WFPM achieves 32.0% performance improvement and prolongs the NVM lifetime of header table by 7.4× over the EvFP-Tree.
Control System of IMU Calibration Equipment Based on Multi Control Method
Authors: Liu Hao , Li Xiang , Xu Wenli , Liu Yang , Liu Kaiping , Zhang Yue
Published: June 2020

Compared with the previous inertial navigation calibration equipment using a single controller method, the IMU calibration equipment control system based on multiple control methods can be more customized and more flexible. The spindle controller uses a self-developed algorithm. It is realized in real-time control system, which has the advantages of high control positioning accuracy and high rate stability; the automatic turning device controller adopts mature industrial controllers and uses sequential function diagrams to realize the automation process, which is simple, stable and reliable, and can realize complex automation testing process. The two control methods use the way of TCP/IP communication to combine the advantages of the two controllers, shorten the development time, save costs, and achieve high performance, high efficiency and accurate testing.
Model of P controller’s effect on tension of UAV motor
Authors: Li Tiansong , Zhang Haoqiang , Liu Qinghua , Zhou Xiaoyan
Published: June 2020

The tuning of the multi-rotor UAV PID parameters is a long and iterative process, and sometimes it is impossible to find a suitable magnitude. To improve the setting efficiency of control parameters, the classic PID control algorithm is combined with the dynamic model of the UAV to build a mathematical model that describes the effect about parameters of P controller on the tension of brushless motor. Computer simulation and open-loop experimental verification were conducted under the change of parameter of P controller. The simulation and experimental results show that this mathematical model describes the effect of parameters of P controller on the UAV motor’s tension under different attitude angle errors. When the parameters of the P controller are input to the UAV which has determined the parameters of the power system, the motor’s tension can be calculated directly from this model, and this model can assist in determining the magnitude of parameters of the P controller.
A study on Multi-objective Flexible Job-shop Dynamic Scheduling Based on Control Window
Authors: Daqi DAI , Weiping FU , Jianhua SHE
Published: June 2020

It is of great practical significance to study the dynamic scheduling of production in flexible job-shop. In the flexible job-shop scheduling, process, cost, machine tool and processing environment constitute the constraint set of scheduling. In this paper, starting from the multi constraints of scheduling system, the multi-objective linear synthesis of cost, time, quality and resource utilization is carried out. The scheduling intelligent algorithm is improved by using the polychromatic sets contour matrix to improve the operational efficiency. On the basis of the multi-objective flexible job-shop scheduling model under this multi constraints condition, from the actual situation of production scheduling, this paper constructs a scheduling control window according to the dynamic influence domain formed by the dynamic factors in the scheduling process. Dynamic scheduling control is carried out through control window to realize flexible scheduling and intelligent production. The effectiveness and feasibility of the model are verified by dynamic scheduling analysis of a simulation example.
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

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

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

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

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

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

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

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

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

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

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

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

Improvement 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

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

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

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

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
Grain quality-based selection and QTL mapping in a Ciherang-subl backcross population
Authors: Pramudyawardani Estria F , Aswidinnoor H , Purwoko B S , Suwarno W B , Verdeprado H , Islam M R , Collard B C Y
Published: June 2020

Ciherang has been a dominant variety in Indonesia for almost 2 decades and is considered to be a premium rice in Indonesia. Despite the importance of this variety, limited information is available regarding the genetic control of grain quality traits. A backcross population (Ciherang-Sub1*2/IRRI148) was developed for mapping a range of traits. This study was performed to select promising families with similar rice grain quality as Ciherang-Sub1 and to identify QTLs associated with grain quality from Ciherang-Sub1. Nine quality traits (chalkiness; seed length, width, and shape; brown rice, milled rice percentage, head rice recovery percentage, amylose content) and 3 complementary data (gelatinization temperature, gel consistency, milling potential degree) were measured at the IRRI Grain quality and nutrition centre. Selection using two clustering methods identified 32 promising families which had similar grain quality as Ciherang-Sub1. Using the ICIM QTL mapping method, 12 grain quality QTLs were identified. Eight of those were newly identified QTLs (qSL2.1, qSL8.1, qSWdl.1, qBrPl.1, qBrP3.1, qBrP9.1, qMP2.1 and qGT6.2). Large effect QTLs were identified for the seed length (R2= 63.61%), seed shape (R2 = 41.29), and gelatinization temperature (R2= 41.52%). Both parents contributed alleles that affected quality, where 2 QTLs from seed length and width increased seed shape. The promising families and QTLs identified in this study could be useful for enhancing rice grain quality using molecular marker assisted breeding and developing new rice varieties with premium quality in the future.