bluuebunny/crossref_metadata_2025_split huggingface dataset:
A method of farmland 3D terrain reconstruction based on UAV sequence images
Authors: Xu Cheng , He Chenglong , Liu Kun 
Published: November 2019

Abstract
When the plant protection UAV on farmland spraying, the UAV need to always maintain a relative height of 1-2 m away from the crops to ensure uniform and efficient spraying of pesticides. At present, the commonly used high-fixing schemes, such as GPS, barometer, ultrasound and so on, there are some deficiencies. Aiming at this problem, a method of reconstructing 3D terrain of farmland by UAV electro-optical payload taking sequence images is proposed, which can achieve the goal of UAV height-fixing. Firstly, the feature points selection module is established. The SILC image segmentation algorithm is adopted to segment the image and the centroid points of all the superpixel blocks are calculated. Then, the corner points are extracted by using Harris corner detector and these two parts of points are mixed together as the feature points. Secondly, the feature point matching module based on SAD algorithm is proposed. Finally, a three-dimensional reconstruction algorithm according to monocular sequence images, UAV position, attitude and camera pointing angle is derived. The results of the experiments demonstrated that this method can quickly and effectively reconstruct farmland terrain, which can provide a data base for UAV high-fixing and has important application value.
Sliding Mode Control for Optimal Torque Transmission of Dry Dual Clutch Assembly of A Two-Speed Electric Vehicle During Launch
Authors: Wu Mingxiang 
Published: November 2019

Abstract
As fork-lever actuator has significant advantages in structure dimensions and manufacturing prices, and is able to respond to drivers’ demands in very quick and precise manner, it becomes more and more popular in conventional and electric vehicles (EVs) equipped with dry dual clutch transmission (DDCT). To investigate optimal dynamic behaviors of EV equipped with DDCT, displacements of little ends of diaphragm springs and change rates of such displacements are defined key state variables, and dynamic model of such kind of actuator is built and integrated into DDCT driveline dynamic model of an EV with two-speed. Then, an affine nonlinear launch dynamic model for the whole DDCT system is proposed. Further, optimal torques of electric motor and dual clutch are derived, based on Pontryagin’s minimum principle, mainly for the purpose of smooth power transmission from electric motor to dual clutch. Finally, a sliding mode control algorithm for the feedback linearization system is derived to improve tracking accuracy at the presence of strong nonlinearities and modelling uncertainties. Through careful observation of numerical simulation results from MATLAB/Simulink platform, it can be concluded that the proposed optimal control algorithm is able to improve launch quality to fine level, and sliding mode algorithm for tracking control acquires strong robustness to modeling uncertainties and nonlinearities.
An Improved Genetic Algorithm for Solving the RGV Shop Scheduling Problem
Authors: Fan Hao , Yu Xiaoyan , Shu De-qin , Guan Wei-hong , Guo Zhong-hao , Feng Shuo 
Published: November 2019

Abstract
For the RGV (Rail Guide Vehicle) Shop Scheduling Problem, it is necessary to consider the RGV job scheduling under the condition of different processes with or without faults, and give the optimal solution. In this paper, the characteristics of the RGV job scheduling under the condition of different processes with or without faults are analysed and an improved genetic algorithm is proposed. The algorithm is improved in initial population selection, individual objective function, adaptive function, selection and mutation operations and so on. The improved algorithm improves the convergence speed of the initial population to the optimal solution, enables the fitness function to select the optimal individual and avoids the problems of repeated solutions and local optimum solutions in cross-selection. The improved genetic algorithm and the traditional genetic algorithm are implemented. The experimental results show that under the condition of no fault and fault in the process, the maximum number of materials processed by the improved genetic algorithm is much higher than the traditional genetic algorithm. And the time efficiency of the improved algorithm is also better than the traditional genetic algorithm. The RGV Shop Scheduling Problem can be solved more effectively by the improved genetic algorithm.
China Family Loss Prediction Research Based on Machine Learning
Authors: Qin Bin , Wang Zhili , Wu Yufan , Zheng Haocheng 
Published: November 2019

Abstract
Social change has a direct influence on the family loss. To this end, we propose a novel approach to model the probability of family loss by learning the large-scale real-world survey data from China Family Panel Studies (CFPS). Especially, combining individual economic, health, identity, family profile and other information, we develop the scalable tree boosting model named Family Loss Prediction Model (FLPM) to model the family loss. Extensive experiments on real-world survey data validate the effectiveness of FLPM for measuring the probability of family loss in China. Furthermore, compared with the XGBoost and GBDT models, the experimental results show that the FLPM model is better and the precision is 98.48%, which provides an important basis for this study.
Research on Fast Kernel Subspace Face Recognition Based on Deep Belief Network
Authors: Wang Jian , Wang Shi , Zhang Wei 
Published: November 2019

Abstract
Face recognition usually uses different features as input signals. There are many conventional techniques being used and these include technical and fundamental analysis. In this paper, the sample data is mapped from low-dimensional space to high-dimensional space by the kernel method, which makes the classification algorithm have the ability to deal with non-linear data and can solve the small sample problem. At the same time, deep belief network is used as feature transformation and classification to mine feature information of high-dimensional face data. The experimental results show that the optimal recognition rate of the proposed algorithm in a specific face database is up to 96%.
Analysis of cryptosystem recognition scheme based on Euclidean distance feature extraction in three machine learning classifiers
Authors: Fan SiJie , Zhao YaQun , Fan SiJie 
Published: November 2019

Abstract
In reality, many cryptographic analysis techniques are based on a specific cryptographic system or a large number of encrypted ciphertext. The identification and detection of cryptographic system is of great significance for evaluating the security of the algorithm and guiding the design and improvement of the algorithm. In this paper, we transcode each character in ciphertext into a decimal number, construct these numbers into one-dimensional arrays, and obtain the Euclidean distance between these one-dimensional arrays. Then we use these distances as features and input them into three machine learning classifiers: random forest, logistic regression and support vector machine to recognize cryptosystem and compare their recognition accuracy. The subjects include 8 common block ciphers (DES, 3DES, AES-128, AES-256, IDEA, SMS4, Blowfish, Camellia-128). The experimental results show that using the feature extraction scheme not only shortens the experimental time, reduces the computational cost, but also improves the recognition accuracy of eight typical block cipher algorithms. The classification accuracy of the ECB mode in the random forest classifier is 75%, which is higher than the existing published literature experimental results. The classification accuracy rate of CBC mode is higher than 13.5%, which is higher than the accuracy of random classification.
Research on Android Application Reinforcement Method for Mobile Medical Service
Authors: Zhou Shuwang , Zhang Shumei , Shu Minglei , Xu Jiyong , Liu Zhaoyang 
Published: November 2019

Abstract
In the field of mobile medicine, in order to improve the security of Android applications and prevent Android APP from malicious decompilation and tampering, a security reinforcement scheme for Android APP based on random confusion is proposed. By confusing a large number of random characters in the DEX header file, without affecting the execution efficiency of Android software, it increases the difficulty of decompiling the DEX file, improves the security of the source code, and ensures the correctness and integrity of the DEX file.
Image Denoising Algorithm based on Improved NCSR Model
Authors: Lee XiDa , Wu JunFang 
Published: November 2019

Abstract
The Nonlocally Centralized Sparse Representation (NCSR) algorithm aims to reduce sparse coding noise and utilizes the Nonlocal Self-similarity of the image to improve the effectiveness and accuracy of the image denoising algorithm, which has achieved good denoising effect. However, in the local dictionary learning and sparse coefficient estimation, the algorithm directly uses the Euclidean distance of the noise image to measure the similarity, which will have a certain impact on the final denoising effect. Aiming at this deficiency, it is proposed to use the Gaussian Mixed Model (GMM) to train nonlocal self-similar image patch of the external clean image in the local dictionary learning, and use the learned GMM to guide the internal image clustering; when performing the sparse coefficient estimation, the structural similarity index(SSIM) is introduced into the Euclidean distance and the improved Euclidean distance is introduced into the weight calculation. The experimental results show that the improved algorithm proposed in this paper has improved the PSNR and the visual effect of the image.
Simulation and production of soybean plant growth (Glycine max (L) Merrill) using the DSSAT model with different scenarios of water supply and compost
Authors: Yassi A , Syaiful S A , Ruslan A , Ridwan I , Andari G 
Published: November 2019

Abstract
This study aims to study the response of soybean plants to various scenarios of water supply and compost using the DSSAT model. This research was conducted at the Laboratory of Agro-climatology and Statistics, Department of Agronomy, Faculty of Agriculture, Universitas Hasanuddin, Makassar. This research was conducted in February-March 2016. Simulation of the DSSAT model was determined from primary data in the form of plant management data, soil data, and other supporting data, and secondary data in the form of climate data. The results of the study, based on the paired t-test, the DSSAT model for simulating soybean plants can predict each treatment on the parameters of vegetative weight and number of pods. A t-test on leaf root weight showed that the DSSAT model could predict all treatments except in the treatment of watering every ten days and 3.0 tons/ha of compost. Based on the value of MSE, the DSSAT model for simulating soybean plants can predict the yield of each treatment for the parameters of the number of seeds. The average difference between simulation and observation on seed weight of 314.44 kg/ha and simulation results tend to predict below observation in the field.
Arbuscular mycorrhizal fungi promote the growth and production of environmentally friendly grown shallots (Allium oscalonicum L.)
Authors: Ridwan I , Harliaty  , Nasaruddin  , Prasetia A 
Published: November 2019

Abstract
This research aimed to study the effect of different formulas of organic liquid fertilizer and Arbuscular Mycorrhizal Fungi (AMF) inoculation level on the growth and production of environmentally friendly grown shallot. The study was carried out at the experimental farm of the Faculty of Agriculture, Universitas Hasanuddin, Makassar, from August to November 2015. Three formula of organic liquid fertilizer used was formula HNI.A (fresh cow feces + rice washing water + Annona muricata leaf extract), formula HNI.B (fresh cow feces+ rice washing water + banana fruit extract + banana peel extract), and commercial liquid Bioslurry (fermented cow urine). The inoculation of AMF applied was at the concentration of 0.50 g, 0.70 g, and 1 g per plant. The results show that the interaction between the use of liquid organic fertilizers and AMF inoculation affect some vegetative characters of shallots such as the number of leaves, the number of stems at 30 days after planting (DAP), and 55 DAP, and leaf area at 30 DAP. The highest shallot yield was in 0.7 g AM per plant, which was 3.32 tons per hectare compared to control of 1.68 tons per hectare.
Application of humic acid and Vesicular Arbuscular Mycorrhiza (VAM) for growth and production of soybean
Authors: Bahrun A H , Mollah A , Khotimah N H 
Published: November 2019

Abstract
This study aimed to determine the effect of the application of humic acid and Vesicular Arbuscular mycorrhiza (VAM) on the growth and production of soybean plants (Glycine max (L.) Merril) An experiment of a two-factor factorial design with randomized block design (RBD) took humic acid as the first factor consists of 3 levels: 0% (v/v), 10% (v/v), and 15% (v/v); VAM as the second factor consisting of 3 levels: 0 g, 6 g, and 12 g. Results showed that the application of humic acid did not have a significant effect on the growth component and some production component, yet it had a significant effect on the number of leaves 70 dap. Treatment of Vesicular Arbuscular Mycorrhizae (VAM) application did not have a substantial impact on the growth component and some production components. Likewise, there was no interaction between the treatment of humic acid application and VAM on growth components and some components of soybean production. Humic acid with a concentration of 10% (v/v) showed the best results on parameters of plant height, number of leaves, number of branches, flowering age, and root volume, while application of 6 g VAM gave the best results for plant height, flowering age, seed weight, and seed production per polybag.
Morphology and histomorphometric study of 1- to 4-month-old Gaga’ chicken’s testes
Authors: Bachmid N A , Purba F Y , Apada A M S , Sari D K 
Published: November 2019

Abstract
Gaga’ chicken is one of the endemic fowls originated from Sidenreng-Rappang Regency in South Sulawesi, Indonesia. This study aimed to describe the morphology and histomorphometry of 1- to 4-month-old Gaga’ chicken’s testes. Eight chicks were used in this study, divided into four groups of ages from 1- to 4-month-old (n = 2). Chicks testes were collected by necropsy, and the histological slides were prepared and stained using the Hematoxilyn-Eosin paraffin method. The results showed there were no significant differences between Gaga’ chicken’s testes and the local breeds. The bodyweight of Gaga’ chicken was in parallel increase with the testes weight, volume, and length (P<0.05). Gonadosomatic Index (GSI) value also showed an increase in spermatozoa production. Spermatocytogenesis phase was observed in 1-month-old, while myogenesis phase in 2-months-old and spermiogenesis in 3- to 4-months-old chicks. The histomorphometry showed that the seminiferous tubules were developed in diameter. The number of seminiferous tubules increased in 1- to 2-months-old chicks but decreased in older chicks as the area became wider. It is suggested that the spermatozoa production increased as the increase of seminiferous tubule area.
Addition of red dragon fruit (Hylocereus polyrhizus) on yogurt: Effect on lactic acid content, pH, and the inhibition of Escherichia coli growth
Authors: Fitratullah A M N , Maruddin F , Yuliati F N , Prahesti K I , Taufik M 
Published: November 2019

Abstract
Red dragon fruit contains carbohydrates, flavonoids and other nutrients that can be used as energy sources by lactic acid bacteria (LAB). The addition of red dragon fruit in making yogurt can improve the characteristics and functional properties of the final yogurt product. The purpose of this study was to determine the effect of various concentration of red dragon fruit (Hylocereus polyrhizus) in yogurt to lactic acid content, pH value, and inhibition of E.coli growth. The parameters measured in this study were lactic acid content, pH, and inhibition zone of E. coli. The design used was a completely randomized design (CRD) with three treatments and five replications. The process of making yogurt was as follow: distilled water mixed with skim milk 10% (w/v), red dragon fruit 3%, 5% and 7% (w/v) and sugar 3% (v/v). The mixture was heated at 105°C for 5 minutes, cooled, then inoculated with lactic acid bacteria starter as much as 3% (v/v) and incubated at 42°C for 12 hours. This study showed that the concentration of 7% red fruit dragon produced higher lactic acid content, a lower pH value, and higher inhibition to E. coli growth compared to the concentration of 3% and 5%. The result indicated that the use of 7% red dragon fruit would produce good quality yogurt.
Study on the use of various concentration of acetic acid and different precipitation duration on casein characteristics
Authors: Husnaeni  , Maruddin F , Malaka R , Prahesti K I 
Published: November 2019

AbstractCasein can be precipitated from skim milk using acetic acid. The effectiveness of the casein formed during precipitation was determined by precipitation duration. The purpose of this study was to determine the characteristics of casein (water content, the amount of isolated casein and/or yield and the amount of dissolved protein) with various concentrations of acetic acid and precipitation duration. This study used a completely randomized design (CRD) factorial pattern with three replications. Factor A was the various concentration of acetic acid (6%, 9%, and 12%) and factor B was the different precipitation duration (30 minutes, 60 minutes, and 90 minutes). The parameters measured are casein yield, water content and dissolved protein. The results showed that the concentration of acetic acid and the precipitation duration significantly affected the characteristics of casein yield, water content and dissolved protein. The casein yield values ranged from 20.16 to 26.49%, the water content ranged from 71.55 to 76.63% and dissolved protein ranged from 1.17 to 1.98%. The use of 6% acetic acid and the 60-minute precipitation duration produced casein with low water content and a less amount of dissolved protein. The casein yield produced was in line with the casein water content.
Outlining the dynamics of forest landscape and farmer lifescape in a village forest profile in Indonesia
Authors: Hasanuddin D A L , Suprataman S , Mahbub A S 
Published: November 2019

Abstract
This study aims to analyse the dynamics of the forest landscape and lifescape of forest farmer groups in the Labbo village forest, South Sulawesi province, Indonesia. Several stakeholders are identified on a co-managing, protecting and utilizing resources such as villagers, forest farmer groups, farmers, village officials, forest officers. Data collection methods used in this study are resource mapping, social mapping, and interviews. The method is deployed to determine trends in the changes of forest landscape dynamics and the lifescape of farmers in the Labbo village forest. The results show that there is a tendency on good performance both landsacape and lifescape dimension due to the good multistakeholder collaboration that not only on capacity building interbention but also introducing good knowledge production.
Preference and biology of moril bombyx in feed-made mixed red beans (Phaseolus vulgaris) ingredients
Authors: Nuraeni S , Sadapotto A , Lestari C A 
Published: November 2019

Abstract
This study aims to determine the preference and biology of mory L Bombyx with an artificial diet based on mixtures of red beans. This research should provide information to farmers and other users on the development of silkworms. This research was conducted from September to October 2018. The study consisted of five steps: the first step of disinfection, handling newly hatched caterpillars, feeding, observation of temperature and humidity. The variables observed in this study were the amount of artificial food consumed by the larvae, the nutrient content of the artificial food (carbohydrate, fat, protein and water content), the growth index, the larval length, the weight larvae, cocoon fresh weight, cocoon skin weight, larval survival power percentage. Silkworms can consume the percentage of artificial foods made from red bean mixtures with the highest feeding capacity of 558.11 g, mixed with mulberry leaves and bean flour red. The larvae. However, artificial feeding did not have a positive influence on the survival of silk larvae.
Collective land certification policy for improving good land governance
Authors: Setiabudhi D O , Palilingan T N , Irwansyah  , Maramis F , Yunus Ahsan 
Published: November 2019

Abstract
The land is a very limited resource, so the right to land will cause problems if it is managed improperly. The research is a socio-juridical research and uses a descriptive method. The results show that collective land certification policy in Indonesia is an effort of the government to regulate land tenure and ownership in realizing fairness, benefit and legal certainty. However, its implementation is not undertaken in a planned and gradual manner so that the issuance of title deed in the mass land registration does not consider the formal and material validities of the land certificate. The implementation of state-funded mass land registration as an effort by the state to create fairness, benefit and legal certainty over land tenure and ownership needs to be implemented in a planned and gradual manner. The stage is the first year of research, for measuring in the second year and the issuance of a land titling certificate in the third year. The implementation of gradual and planned land registration will affect the quality of the title deed as issued because the issuance is undertaken by referring to the principle of good land governance.
Law enforcement of environmental permit in mining management
Authors: Insarullah  , Irwansyah  , Wahid A M Y , Saleng A , Yunus A 
Published: November 2019

Abstract
The research aims to determine and understand the essence of environmental permit and legal-cultural factors that affect it in supporting the realization of the principles of transparency, participation and accountability in mining management. It was an empirical research, with a socio-juridical approach. It was conducted in Central Sulawesi Province, Indonesia. The data were analyzed qualitatively and descriptively. The results of research indicated that the realization of the principles of transparency, participation and accountability in law enforcement of environmental permits in mining management is still classified as low-category. Therefore, it does not yet reflect the realization of the principle of good governance in law enforcement of environmental permits in environmentally friendly mining management.
Effect of profile element dimension to the ultimate hull girder strength
Authors: Lestari P A N , Ashury  , Alie M Z M , Wairara S 
Published: November 2019

Abstract
The hull girder plays an important role against those loads and to describe the structural behavior under longitudinal bending. The hull cross-sectional properties have a significant contribution to the ultimate strength investigation. Therefore, the influence of the element section properties to the ultimate hull girder strength must be evaluated. The objective of the present study is to calculate the ultimate hull girder strength considering the element section properties subjected to longitudinal bending. Two double-hull tankers are taken with the same dimension, but different from the element section properties characteristic such as number, dimension, and type of the stiffeners located on the bottom, shell and deck parts. The basic formula is adopted to calculate element section properties of the hull girder for double hull tanker. The double hull tanker is modeled as a cross-section having the stiffeners and attached plating. The stress due to the difference of the element section properties is less than allowable stress.