bluuebunny/crossref_metadata_2025_split huggingface dataset:
Linear and nonlinear spin dynamics in multi-domain magnetoelastic antiferromagnets
Authors: Gomonay O , Bossini D 
Published: May 2021

Abstract
Antiferromagnets (AFs) have recently surged as a prominent material platform for next-generation spintronic devices. Here we focus on the dynamics of the domain walls in AFs in the presence of magnetoelasticity. Based on a macroscopic phenomenological model, we demonstrate that magnetoelasticity defines both the equilibrium magnetic structure and dynamical magnetic properties of easy-plane AFs in linear and nonlinear regimes. We employ our model to treat non-homogeneous magnetic textures, namely an AF in a multi-domain state. Calculations of the eigen-modes of collective spin excitations and of the domain walls themselves are reported, even considering different kinds of domains. We also compare the output of our model with experimental results, substantiating the empirical observation, and showing that domain walls majorly affect the optically driven ultrafast nonlinear spin dynamics. Our model and its potential developments can become a general platform to handle a wide set of key concepts and physical regimes pivotal for further bolstering the research area of spintronics.
Vision and UWB-Based Anchor Self-Localisation System for UAV in GPS-Denied Environment
Authors: Yang Beiya , Yang Erfu , Yu Leijian 
Published: May 2021

Abstract
With the increasing applications of unmanned aerial vehicles (UAVs) in industries, it has drawn dramatic interests that utilising UAVs for internal inspection of oil tanks and vessels in recent years. Due to the fact that there is no global positioning system (GPS) and limited prior knowledge about operational environment, it is an unsolved problem on how to get the precise position information without relying on prior knowledge. To solve this problem, a Vision Aided Self-Localisation Two-way Time of Flight (VASTWTOF) algorithm is proposed. In the proposed algorithm, ultra-wideband (UWB) based sensor nodes are utilised for UAVs to achieve precise localisation in GPS-denied environment and the vision-based approach is adopted for anchor self-localisation. The simulation results show that the proposed algorithm can greatly improve the localisation performance and could be used for UAVs’ precise localisation in GPS-denied environment, especially for the internal inspection of oil tanks and vessels.
Application of Driving Style Recognition in the Shift Control of a Two-speed DCT for Pure Electric Vehicles
Authors: Zhang Jianjun , Chen Xinbo 
Published: May 2021

Abstract
The driving style recognition algorithm can be used to obtain the driver’s current driving style in real time. Thus, the algorithm is combined with the transmission control logic to make the shifting operation of the transmission adaptive to drivers of different driving styles. Firstly, by introducing the dynamic coefficient, the comprehensive shift schedule that match different driving styles is calculated. Next, the two transmission shift evaluation indexes, i.e., shift time and degree of jerk are determined, with the corresponding objective function established. Using this function as the constraint function of the NSGA-II multi-objective genetic optimization algorithm, the Pareto optimal solution set of the engagement speed control parameters of the two clutches under different motor output torques is obtained. The transmission shift control strategy proposed herewith is validated by the co-simulation of MATLAB/Simulink and MSC Carsim software. The co-simulation results show that the transmission can automatically adjust the shift parameters according to different types of driving styles, so that the shift schedule and shift quality of the two-speed dual-clutch transmission are in accordance with the needs of drivers with different driving styles.
Vision-based bicycle and motorcycle detection using a YOLO-based Network
Authors: Dequito C J M , Dichaves I J L , Juan R J G , Minaga M Y K T , Ilao J P , M O Cordel II , Del Gallego N P A 
Published: May 2021

Abstract
This paper describes a system that can distinguish between visually-similar objects, specifically bicycles and motorcycles, successfully from the vantage point of traffic surveillance cameras. The You Only Look Once (YOLO) is used as the main framework in this research due to its speed performance among various machine learning models and methods evaluated. We built a dataset consisting of motorcycle and bicycle images from different CCTV footage for this project. CCTV footage may vary on the angle of view from the object, image resolution, and ambient environment settings. Using this dataset, we trained YOLOv3-based models, and their performances were compared to the vanilla version of YOLOv3 and other pre-trained models. Four (4) models were trained and compared; the best-performing model is shown to be associated with a dataset with properly labeled data (i.e., marking every instance of the object of interest) and having the most number of instances in the training and testing set.Introduction.
Transfer Learning Adaptive Facial Attractiveness Assessment
Authors: Lebedeva I , Guo Y , Ying F 
Published: May 2021

Abstract
Recent advances in Computer Vision and Artificial Intelligence have brought the opportunity to automate facial attractiveness evaluation. A range of studies have been addressed to the task and have achieved reasonable prediction accuracy. However, most of these methods work well only on photos with restrictions on expression, posture, illumination, but not on real-world face photos. This work is aimed to improve the attractiveness assessment state-of-the-art in both cases. To this end, an approach that employs transfer learning methodology as well as shallow machine learning was proposed for highly accurate facial attractiveness prediction. Specifically, a Convolutional Neural Network (CNN), Facenet, originally designed and pre-trained for the face recognition task is utilized. High-level facial features were extracted by using the network and then fed into Support Vector Regression in order to predict facial attractiveness. Extensive experiments conducted on widely used facial beauty datasets Gray and SCUT-FBP5500 demonstrated that the proposed method outperformed other attractiveness prediction approaches. The experimental results also confirmed the effectiveness of the method in both constrained and unconstrained environment.
Design of projection optical system for 3D defect detection on PCB
Authors: Chen Xu , Xu Feng , Ma Suodong 
Published: May 2021

Abstract
According to the practical experience of PCB defect detection in semiconductor industry, a projection optical system suitable for structured light detection device is designed by using a DMD chip. In order to realize the lateral projection of structured light stripe and improve the quality of system projection, the design of tilt back group of projection lens is adopted and the projection size is 57×32mm.The simulation results show that the illumination uniformity of the projection system on the measured surface is more than 85%, the fringe contrast is larger than 0.5, and the maximum height of the measuring device is 5mm, which provides a guarantee for practical application of structured light fringe for 3D defect detection on PCB.
Investigation of the influence of TiO2 distribution on HA/TiO2 composite wetting ability using the dispersant SDBS, high-temperature annealing, and ultrasonication
Authors: Hoang Van Quy , Vu Trung Hieu , Dang Hai Truyen , Kim Moon Il , Bark Chung Wung 
Published: May 2021

Abstract
The use of composites such as hydroxyapatite (HA)/TiO2 in bioapplications has attracted increasing attention in recent years. Herein, for the enhancement wetting ability and biocompatibility, the HA/TiO2 composite was subjected to different treatments to improve nanoparticle (NP) distribution and surface energy with an aim of mitigating nanotoxicity concerns. The treatments included ultrasonication, high-temperature annealing, and addition of a dispersant and surfactant, sodium dodecylbenzenesulfonate (SDBS). Contact angle measurement tests revealed the effect of SDBS addition on the distribution of TiO2 NPs on the HA surface: a decrease in the contact angle and, thus, an increase in the wetting ability of the HA/TiO2 composite were observed. The combination of annealing and SDBS addition treatments allowed for guest TiO2 particles to be uniformly distributed on the surface of the host HA particles, showing a rapid conversion from a hydrophobic to superhydrophilic property. In vitro investigation suggested that the cell viabilities of annealed HA/TiO2, SDBS-added HA/TiO2, and SDBS-added and annealed HA/TiO2 reached 89.7%, 94.7%, and 95.8%, respectively, while those of HA and untreated HA/TiO2 were 80.3% and 86.9%, respectively. The modified composites exhibited lower cytotoxicities than the unmodified systems (HA and HA/TiO2). Furthermore, the cell adhesion behavior of the composites was confirmed through actin-4′,6-Diamidino-2-phenylindole (DAPI) staining, which showed negligible changes in the cytoskeleton architecture of the cells. This study confirmed that a modified HA/TiO2 composite has potential for bioapplications.
In vitro induction of oil palm (Elaeis guineensis Jacq.) shoot roots and their acclimatization in mycorrhiza-enriched media
Authors: Karyanti  , Khairiyah H , Sukarnih T , Hanifah N F , Rudiyana Y , Wahid A , Mira F R 
Published: May 2021

Abstract
Oil palm is a vegetable oil-producing plant (CPO) which provides the largest foreign exchange contribution compared to other crops and is widely used in food, medicine, cosmetic, and energy industries. Tissue culture technology is currently used to produce quality oil palm seeds. Oil palm shoots tend to grow and develop in clumps (groups) in vitro. Bipolar nature does not appear in all the shoots produced, so to produce plantlets it is necessary to do induction. This research aimed to obtain the right root induction media. A completely randomized design (CRD) with two factors was used with the first factor being the type of auxin (IAA, IBA, and NAA), and the second was the auxin concentration (0, 0.25, 0.5, and 0.75 ppm). In the eighth week after planting, the variables of root length, number of leaves, and shoot height were not significantly different except for the root number. The best root induction media for plantlet formation was the MS base medium with the addition of NAA type auxin at a concentration of 0.75 ppm. The plantlets formed a symbiosis with mycorrhiza which was applied at a dose of 4 g per polybag in the fourth month after planting.
The phytopatological compatibility of sunflower (Helianthus annuus L.) var. IPB Bm 1 as refugia
Authors: Wafa A , Cahyadi Y A 
Published: May 2021

Abstract
Refugia has been used to avoid insect pests in the leguminous plant. However, utilization of refugia never been evaluated at the level of sensitivity to primary plant disease. The research aimed to find out the compatibility of Sunflower Var IPB Bm 1 as refugia due to primary plant pathogen. It affected the stem rot disease on the most crop, caused by the fungal pathogen, Sclerotium rolfsii. The Research conducted in the in-vitro level. The sunflower seed tested on the S. rolfsii colony by used two different media, planted by 7 mm from the outer colony of fungal. The infection ability, time requirement of infection, sclerotia size, and developing time of sclerotia used as observation subject and compared to the control. Based on the result, compared due to the control treatment, the infection time requirement of the fungal pathogen to infected sunflower are six hours slower than control, have a bigger sclerotia size, more than 47,680 µm2 bigger and faster-developed sclerotia. The development stage from hyphae to the well-developed sclerotia in Sunflower seeds are 7,1 days faster than the control treatment. The result indicated the S.rolfsii could develop well to the dormancy stage on the Sunflower IPB Bm 1 more faster than the control treatment. In line with that, became highly recommend for adding the phytopatologial aspect on the selecting refugia plant in the future. Aimed to reducing the possibility the refugia plant became alternate host and inoculum source of main pathogen.
Properties and reclassification of volcanic soil in Sungai Kamuyang village, West Sumatra
Authors: Sari D P , Juniarti  , Rasyidin A , Saidi A 
Published: May 2021

Abstract
This study was aimed to examine the classification of soil in Sungai Kamuyang, West Sumatra by the USDA Soil Taxonomy up to the level of familty. This research was conducted in Sungai Kamuyang, Luak District, Limapuluh Kota Regency, West Sumatra, Laboratory of Soil Science Andalas University, and Laboratory of Soil Chemistry and Soil Mineralogy of Soil Research Center, Bogor. This research used a survey method with several stages: Preparation, Pre-Survey, Main Survey, Soil Analysis, and Data Processing. Based on the resluts in classification of Soil in Sungai Kamuyang, it found differences in the resluts in classification of Soil in Sungai Kamuyang served Land Unit Map Solok Sheet by Soil and Agroclimate Research Center in 1990, which is only on the profile SL3 showing characteristics of Andisols while on the other profiles show Inceptisols characteristics.
Physical quality determination of fresh strawberry (Fragaria x ananassa var. Osogrande) fruit in tropical environment using image processing approach
Authors: Nugroho C S , Ainuri M , Falah M A F 
Published: May 2021

Abstract
Strawberry (Fragaria x ananassavar.Osogrande) fruit has a high economic value and healthy for human. However, there was a problem with strawberries quality for supply chain and can be deteriorated easily during the transportation process, especially in tropical environment. Image processing is one of the methods considered to be applied for rapid detecting using non-destructive method. Objective of this research was to compare the determination of physical quality of strawberry fruit between conventional method and image processing method. Determination of the image processing method was using webcam 8 mp with 100% maturity level of strawberry fruit, then after acquisition of the sample of strawberry the data was analysed using Matlab software. Observations of the physical quality parameters observed including color and texture of skin, diameter, length, volume and the surface area of strawberries. Performance of image processing have relatively good, with high accuracy for several physical quality of strawberry fruit such as : length (96,50%), diameter (93,70%), Area (93,88%), volume (96,42%), texture (83,8%) redness (a*) (76,74%) and yellowness (b*) (66,89%) with not significant difference with conventional method measurements, however (lightness (L*) color parameter significant difference between image processing and conventional measurements.
The effect of binahong leaf meal (Anredera cordifolia (ten.) Steenis) as feed additive on digestive organs profile of broiler chickens
Authors: Widodo N , Khasanah H 
Published: May 2021

Abstract
Binahong (Anredera cordifolia (Ten.) Steenis) is known as an herb plant that has a biofunctional compound and is used for medical treatment. This study aims to determine the effect of binahong leaf meal (BL) on the digestive organs’ profile, namely intestinal length and weight (duodenum, jejunum, and ileum), and percentages of liver, heart, and bursal of broiler chickens. A total of one hundred and ninety-two male DOC of broiler were divided into six treatments with four replications, and each replication consisted of 8 birds. The treatment groups were: C (negative control), T: tetracycline 50 ppm (positive control), B1 (1% BLM), B2 (2% BL), B4 (4%), and B8 (8% BL). The data obtained were performed by analysis of variance and followed with Duncan’s multiple range test. The results showed that BLM’s addition increased to 8%, significantly different (P <0.01), to jejunum length, ileum length, liver and heart weight percentage. Based on our study, it can be concluded that the addition of BLM up to 4% produced the best performance on the broiler’s digestive organ profile.
The role of rhizobacteria to control rhizoctonia disease and to improvement plant growth of soybean on sub-optimal dry land
Authors: Majid A , Soeparjono S , Hani E S , Soedrajad R , Prayitno T A 
Published: May 2021

Abstract
Rhizoctonia disease is caused by the Rhizoctonia solani fungus. that is a soil pathogen and is very dangerous because of its ability to persist in soil (soil borne pathogen) for a long time. Controlling by chemical not effective because they are have negative impact for example pollute the environment, harm non-target organism and harmful to humans. For that efforts are required alternative control an effective and environmentally friendly, one of them is by use bacteria PGPR. Some the genus of rhizobacteria often use are Pseudomonas fluorescens and Bacillus subtilis able to control a plant pathogen. The aims of research to understand the role of rhizobacteria potential in controlling rizoctonia disease and improvement plant growth of soybean. The result in vitro research showed that combination bacteria antagonistic P. fluorescens and B. subtillis provide better than single treatment, with inhibition is 88,1 % on 7 days after inoculations. While in vivo research showed that a combination of both the bacteria is also the best results with the disease insidence 12.4 % with frequency application 3 times, the control (not treatment) showed disease insidane 25,6 % with frequency application 4 times. The variables of compliance were N-total of tissues (%) shows that combination treatment bacteria better than the single treatment, with the N precentage is 0,499 % and heavy dry up to 4,12 %.
Wind damage and yield recovery in rubber (Hevea brasiliensis) plantation
Authors: Junaidi  , Wibowo S A , Wijaya A 
Published: May 2021

Abstract
The recent study observed the damage type and the effect on the yield and dry rubber content (DRC) of wind damaged and one-year recovery of rubber trees. The observation covered 11 sites consisted of 8, 11, 12, and 15 years of PB 260 clone. The damage type was distinguished into curved, cracking curved, broken branch, broken stem, and uprooted. Latex samples were collected from each damage type and compared with normal trees. The observation exhibited that the broken stem and uprooted trees were found in the center of the impacted area, whereas curved and broken branch trees were located in the outer. The proportion of curved, broken branches and uprooted trees increased by plant age, while the proportion of broken stem decreased. The wind damage inflicted a significant yield loss and DRC decrease. The curved trees showed the least impact on the yield, yet it was reduced by nearly 50 %, and the DRC lower around 4.92 %. Nevertheless, when the curve was accompanied by cracking, the yield loss and the DRC decrease were more severe. The one-year recovery trees indicated that the trees did not fully recover.
Perfecting policies of chili agribusiness to support food security: evidence from Indonesia districts
Authors: Wardhono A , Nasir M A , Qori’ah C G , Indrawati Y 
Published: May 2021

Abstract
The availability of chili supply to meet domestic demand is very important, especially mitigating the volatility of chili prices. The fluctuating development of chili prices implies that the maintenance of chili supply is very important in maintaining food price stability. It is because decreased of chili productivity will lead to price increases with increased demand, while excess supply also causes prices to drop, especially at the farm level. The districts of Jember and Banyuwangi as the largest chili suppliers in East Java need to make strategic policies so that production, productivity, and prices of chilies do not fluctuate from time to time. The purpose of this study was to develop a chili agribusiness development strategy to support food security in Jember and Banyuwangi. The analytical tools used are SWOT analysis and Analytical Hierarchy Process (AHP). Based on the results of the analysis, it was found that the main policy priorities in Banyuwangi Regency were increasing information on prices and chili products, strengthening the commitment of farmers, traders and industry, and increasing trust among industry players. Whereas in Jember Regency, namely strengthening the commitment of farmers, traders and industry, minimizing distribution barriers, and ease of obtaining funds.
Measuring the competitiveness of cassava in East Java, Indonesia: evidence in Jember regency
Authors: Nasir M A , Qori’ah C G , Wardhono A 
Published: May 2021

Abstract
The development of cassava is vitally important in the effort to supply non-rice carbohydrate foodstuffs, diversify local food consumption, develop food processing industries and agro-industries, source foreign exchange through exports, and support increased food security and food self-sufficiency. The problem of cassava production and productivity in the management of cassava farming in Jember Regency has strong implications about the specification and response estimation of the production function. If productivity is one component of increasing the competitiveness of cassava, there will be a discontinuity in responding to incentives in the market. The purpose of this study was to measure the competitiveness of cassava in Jember Regency using revealed comparative advantage (RCA) analysis techniques. The results show that the cassava commodity has a value of 17.23 or above one, which means cassava has a comparative advantage compared to other regions with the same commodity. The high RCA value can occur due to several things, for example, the influence of the need for dried cassava to the industry so the cassava production is prioritized to meet the needs of dry cassava outside the region (exports), or the domestic dry cassava flour industry is developing, efficient, or attractive for investors to engage in the agro-industry because of the large profits. This value has increased when compared to the previous year which was 16.31. This can occur because the demand for cassava from outside the region has also increased as a raw material for bioethanol and its derivative products as well as improved prices at the farm level and the average price of cassava in the national market.
Strategies on technology management for coffee smallholder to promote the smart farming implementation
Authors: Wulandari S , Ferry Y 
Published: May 2021

Abstract
Smart farming is becoming increasingly important in providing technology infrastructure for the coffee agribusiness to develop a competitive value chain. On the other side, most coffee smallholders are characterized by limited access to technology and low technology adoption. As development and exploitation of technological capabilities, technology management would be a strategic way to promote smart farming implementation. Hence, this study aims twofold: (1) to identify the constraints in smart farming implementation, and (2) formulate technology management strategy in supporting smart farming for the coffee smallholder. The study was conducted in West Lampung, and the analysis method used pairwise comparison by using Saaty’s scale. The analysis reveals that respondents’ constraints related to knowledge and skills, technology, information, capital, organizational, and resources aspects. The results of this study provide useful information about technoware, humanware, inforware, orgaware, and cysnetware, as components of technology management, to support smart farming for the coffee smallholder.