bluuebunny/crossref_metadata_2025_split huggingface dataset:
Functional characteristics and added value siger rice based on cassava as a local food source
Authors: Analianasari A , Hidayat B , Trisnanto T B 
Published: January 2020

Abstract
The purpose of the study was to analyze functional characteristics (crude fiber content, dietary fiber content, starch content, and antioxidant content) and the added value produced by cassava in different siger rice. The study consisted of collecting not fermented and fermented siger rice (MOCAF) from several districts in Lampung. The analysis of functional characteristics variants of siger rice, and calculating the added value of cassava into various variants of siger rice. The results showed that siger rice can be used as a functional food product because it has a high content of crude fiber, dietary fiber, starch content, and antioxidant activity. The functional characteristics can anticipate unhealthy eating patterns, as well as to help avoid over nutrition and degenerative diseases. Siger rice processing to business actors is a capital-intensive business due to the distribution of labor benefits that are smaller than the profits of siger rice business operators.
Effectiveness of Edible Film impregnated by Vegetable Waste Filtrate on Dodol
Authors: Smeets-Rittichai R , Agustina I , Budiati T 
Published: January 2020

Abstract
Dodol is one of the semi-wet products (Intermediate Moisture Foods) made from a mixture of sugar and lipid so it is easily to be oxidized and become rancid. By using edible film with antioxidant the rancidity can be reduced. Vegetable waste (eggplant peel and chinese cabbage root) were composed by bioactive compound as natural antioxidant which can be incorporated with edible film. The results showed that the addition of vegetable filtrate on edible film had a significant effects on its antioxidant activity. The antioxidant activity of BHT, eggplant peel filtrate and chinese cabbage filtrate were 12.17%, 11.72% and 8.53%, respectively. Edible film impregnated by eggplant peel filtrate was effective as natural antioxidant in dodol.
Farming Bot: Precision Agriculture System in Limited Land Based On Computer Numerical Control (CNC)
Authors: Kautsar S , Rosdiana E , Widiawan B , Setyohadi D P S , Riskiawan H Y , Firgiyanto R 
Published: January 2020

Abstract
Indonesia is a vast country both sea and land, but as population development and growth continues to increase, the land that is usually used for agricultural land is now changing into residential land. This narrowing land is the biggest challenge that must be faced today. Basically, farming activities require a knowledge base that is land use, seeds/seedlings, cultivation, processing, to marketing. However, cultivation on land is limited by several methods of land use such as the use of roof gardens need to be considered well because it requires a large investment and careful planning. One way that can be done is through modern technology for energy efficiency and time. In this study, a precision farming system was created using Computer Numerical Control (CNC) technology. CNC is a machine tool automation system that is operated by command, randomly programmed and stored in storage media. By using CNC technology, it allows the machine to follow the coordinate points that are entered into the system accurately. The command to drive a CNC machine is usually called the G-Code. The accuracy of the machine motion using a stepper motor can reach 1 mm. The system is made, similar to the control system on a 3D Printer machine with a wider work area. Later, the machine-made will be named "Farming-BOT", short for Farming Robots or robots for farming..
Utilization of Rhizobium spp as substitution agent of nitrogen chemical fertilizer on soybean cultivation
Authors: Damanhuri  , Erdiansyah I , Eliyatiningsih  , Sari V K , Pratama A W , Wiharto K S 
Published: January 2020

Abstract
Rhizobium is one of the important microorganisms in free nitrogen fixation. The study aims to determine the use of Rhizobium spp as substitute for chemical fertilizer Nitrogen on soybean cultivation. The experiment design was a randomized complete block with four replications, using Rhizobium isolate in granule and powder media with spraying volume 600cc/kg granules and 400cc/kg of powder. The treatment dosage consisted of 3 g; 4 g; 5g and 6 g/plant, while the control was Phonska fertilizer 1,5 g/plant. The results showed that the use of rhizobium granules and powder as much as 4 g / plant was not significantly different in the formation of root nodules compared with control; the use of Rhizobium in granules and powder 6 g/plant for the number of pods did not show a significant difference; the use of 4 g - 6 g/plant for seed weights compared to controls also did not show a significant difference. The use of Rhizobium isolate 400cc/kg granules and 600cc/kg of powder can be used to replace the use of Phonska in soybean cultivation.
Microhydo potential in Gunung Pasang plantation Panti Jember East Java
Authors: Rahmanto DE , Wibowo M J 
Published: January 2020

Abstract
Gunung Pasang plantation is located in Panti-Jember. The Gunung Pasang plantation actually already has a Francis type microhydro turbine with a power output of around 30 kW. However, this power is still too small when compared to energy needs in plantations which can reach 90 kW. The aim of this study is to find the potential of micro-hydro energy in the Gunung Pasang plantation as a reference for developing micro-hydro energy in the plantation. Potential studies are carried out by measuring the discharge using a current meter and measuring the difference of elevation using a automatic level and altimeter. The result of measurement of potential river flow discharge in the dry season is 0.202 cms. The difference in elevation measured at the first point is 54.19 meters and the second point is 113.09 meters. Microhydro power potential by taking a discharge 0.18 was calculated for the first point and the second as 69.61 kW and 145.27 kW, respectively. Utilisation of potential power in the second point was able to meet the electricity needs of the plantation. Economic feasibility analysis is needed if the micro hydro potential is to be developed.
Evaluation of Rock Slope Stability based on Multi-Dimension Cloud Model
Authors: Ran Shuyuan 
Published: January 2020

Abstract
In this paper, slope stability is classified into five grades in terms of very steady, steady, basically steady, unsteady, and very unsteady. Ten indicators of slope height, tendency difference between structural plane and slope, structural plane inclination, etc., were selected. To solve the uncertainty and randomness, multi-dimension cloud model was applied with weights determined by projection pursuit method. The grade of steadiness was determined by maximum subject degree. The method was applied to 34 rock slopes to assess stability. The accuracy of the method reaches 50%, which indicates that the method has higher accuracy, and can be applied to other fields.
Research on Security Risk Assessment Based on the Improved FAHP
Authors: Li Wenmin , Liang Ye , Wang Wenyu , Jin Xueqi , Kong Piaohong , Jiang Zhengwei , Shao Lisong 
Published: January 2020

Abstract
In order to reduce the subjectivity of information security risk assessment process and improve assessment efficiency, we propose a new method of information security risk assessment based on improved FAHP (Fuzzy Analytic Hierarchy Process) to analyse the information security-related standards for domestic and international risk assessment. We establish a Hierarchical Security Assessment Model and introduce refinement indicators and Intuitionistic Fuzzy Sets to reduce subjective judgment factors in the assessment of traditional risk. We then applied an e-commerce company in case analyse the security risk and the results are satisfactory and in line with the actual situation of the company. The indicator system of this method is more objective and comprehensive and the evaluation process is more efficient, which provide new ideas for risk assessment of existing information security companies.
Research on Computing Resources Sharing of University Laboratories in Education Cloud Environment
Authors: Xiong Nian , Zhou Shan , Wu Zujian , He Zhenyu , Quan Yujuan 
Published: January 2020

Abstract
In view of the common problems of computing resources sharing existing in university laboratories, and combined with the advantages of cloud computing technology in the current education cloud environment, this paper explores the computing resources sharing in colleges and universities. The integration scheme of laboratory computing resources is designed, the sharing mode and operation management mechanism of computing resources are proposed, and the application domain model of computing resources is studied, which is helpful to promote the standardized development of resource sharing, and provides a reference for resource sharing implementation in the education industry.
Implementation and Application of APM Monitoring System under Big Data of Power Grid
Authors: Shen Yang , Qiao Lin , Liu Wei , Yang Chao 
Published: January 2020

Abstract
With the rapid development of smart grid application system and the increasing complexity of information system, the difficulty and importance of data center operation and maintenance management are increasingly prominent. In order to further analyze the existing data under the big data of power grid, improve work efficiency and service quality, a set of scientific and efficient application performance management (APM) monitoring system is proposed. Through the real-time monitoring of power system performance, the latest information about the operation of software and hardware system can be ensured. With the performance data of the system under a series of activities and loads, users can define a performance baseline to represent the acceptable performance under typical operating conditions. This baseline provides a reference point for locating problems more easily. Through scoring system, the health degree of information system operation can be displayed intuitively. Once the score drops, the system is in a non-health state, and the location of the performance bottleneck can be roughly determined by the secondary score. The dispatcher can quickly contact the relevant operation and maintenance team to solve the performance problems, greatly reducing the response time of the performance problems.
Implementation of SAR Echo Simulation Algorithm on Heterogeneous Embedded Computing Platform
Authors: Hou Xiaoyu , Quan Daying , Fan Wei , Jin Xiaoping , Liu Hengliang 
Published: January 2020

Abstract
The Synthetic Aperture Radar (SAR) echo simulation is to obtain the SAR original echo signal by performing reverse operation on the pre-set SAR image. The traditional platforms used to implement the simulation algorithms like central processing unit (CPU) + graphic processing unit (GPU) and digital signal processor (DSP) + field programmable gate array (FPGA) have disadvantages such as high power consumption or complicated programming. In order to make up for these shortcomings, the implementation structure of the SAR echo simulation algorithm was improved to be applicable on the heterogeneous embedded platform with the basic SAR simulation algorithms digitized and decomposed. Base on the improved structure, a mobile GPU based heterogeneous computing platform with one multiprocessor system-on-chip (MPSoC) and multiple GPUs was designed to implement SAR echo simulation algorithm. The platform can simultaneously utilize the real-time nature of register transfer level (RTL) design and the ease of programming on GPU. It can achieve relatively faster computing power at lower power consumption and has the characteristics of miniaturization and mobility.
A Carrier Frequency Offset Estimation for OFDM System via Local Searching Capon Algorithm
Authors: Chen Xi , Zhao Gaofeng , Ye Changbo 
Published: January 2020

Abstract
Orthogonal frequency division multiplexing (OFDM) technology is an important modulation technology in wireless communication. One of the main disadvantages of OFDM system is that it is very sensitive to carrier frequency deviation. Therefore, estimation of carrier frequency deviation is one of the key technologies of OFDM system. In this paper, the global search Capon algorithm is improved, and a local search Capon algorithm is proposed. Simulation results show that the algorithm has low complexity and high performance. In the local search, P spectral peaks are superimposed, which can effectively overcome the problem that the estimation performance of traditional Capon algorithm is seriously reduced due to the unapparent spectral peaks or the missing spectral peaks in the case of low SNR., and it has a good application prospect in power wireless OFDM communication system. Since contemporary information-retrieval systems rely heavily on the content of titles and abstracts to identify relevant articles in literature searches, great care should be taken in constructing both.
Measurement and Evaluation of Marine Intelligent Transportation PNT Data Based on BDS and DGNSS
Authors: Wang Xiang , Liu Jingxian , Liu Zhao , Yuan Zhi 
Published: January 2020

Abstract
This paper proposes the acquisition of PNT data based on Beidou navigation satellite system and the joint BDS/GPS joint pseudorange difference algorithm. This paper relies on the DGNSS infrastructure of the Dajishan lighthouse management station of the Donghai Navigation Safety Administration (DNSA) of the ministry of transport of china. BDS and DGNSS were measured and evaluated using static measurement and evaluation methods. The results show that in the scene with strong interference, the static positioning level error of BDS exceeds 20 meters, DGNSS, static positioning level error is less than 2 meters. Therefore, the DGNSS algorithm is used to acquire the PNT data method, which has the characteristics of availability, accuracy, reliability, continuity and robustness, and can be used in the marine intelligent transportation system.
Study on the Prediction of Driving Braking Behaviour Based on FPNN
Authors: Xiao Jinjian , Weng Yubo , Xie Yingna 
Published: January 2020

Abstract
The driving braking recognized and predicted was complicated. The driving braking samples of various braking actions were gained, by means of 3 setting of driving braking including braking of automobile in front, roadblocks cutting off in other lane were planed and simulated in the real road environment. Experimental data of driving actions including automobile velocity, braking velocity and sustained action time were acquired by the driving action collecting system. Taking advantage of fuzzy aggregation analysis, the driving braking action sample was unified for the fuzzy probabilistic neural network (FPNN). Under different action groups of braking action information selected from braking action samples, the FPNN network was constructed and trained. The analytical results show that the hit rate is 95.3 % when the training braking action data number is 46. Meanwhile, the results show that the relative fuzzy unified and FPNN is useful with sufficient driving braking action data. The driving FPNN are a valid way for prediction of driving action time.
Face Recognition Method Based on Probabilistic Neural Network Optimizing Two-Dimensional Subspace Analysis
Authors: Zhang Haiyan , Qiao Fenqi 
Published: January 2020

Abstract
If there is noise in the original image of face recognition, the efficiency of face recognition will be affected. In this paper, a face recognition method based on probabilistic neural network optimizing two-dimensional subspace analysis was proposed. Firstly, discrete wavelet variation was used to preprocess the image, and then two-dimensional linear discriminant analysis was used for feature extraction. Finally, the probabilistic neural network was used to complete the face classification. According to the results of experiments conducted on ORL and Fei general face database and the database collected independently, the recognition rate can also be as high as 98.9% when noise is added, and compared with several new identification methods, this method can achieve better identification performance.
Optimization of Waste Smoke Recovery Scheduling Strategy Based on Multi AGV
Authors: Sun Shunkai , Li Jie , Zhu Jiule , Chen Haitao , Xu Qi , Liu Jingjie , Cui Haobo , Li Guorui , Hu Wangdi 
Published: January 2020

Abstract
AGV is an important material handling equipment for flexible, lean and intelligent production of smart factory. Because of the high cost of AGV car and the congestion of vehicles in the system, this chapter studies the waste smoke recovery path planning and material handling task scheduling strategy of multi AGV system to improve the waste smoke recovery efficiency of AGV.
Influence of glass/carbon fiber stacking sequence on mechanical and three-body abrasive wear resistance of hybrid composites
Authors: Jesthi Dipak Kumar , Nayak Ramesh Kumar 
Published: January 2020

Abstract
Glass and carbon fiber reinforced polymer hybrid composites are the need of the hour to overcome the weakness of individual fibers. The mechanical and abrasive wear property of the hybrid composites needs to be evaluated to ascertain the feasibility in structural and tribological applications. In this article, hybrid composites of different stacking sequence such as [G3C2]S, [GCG2C]S and[G2C2G]S has been designed. The flexural strength and three body abrasive wear resistance of the hybrid composites were evaluated and compared among themselves. It is observed that the flexural strength and modulus of [GCG2C]S type hybrid composite was improved by 46.1% and 49.5% respectively as compared to plain glass fiber reinforced polymer composites. The specific wear rate was evaluated by three-body abrasive wear at different operating parameters and optimized the same through response surface methodology. Box–Behnken design of the experiment was adopted to design the experiments. The model has predicted the minimum specific wear rate for [GCG2C]S hybrid composite is18.8476 × 10–3 mm3 Nm−1 at applied load of 33.15 N and sliding distance of 1100 m. The model predicted results were compared with experimental one and found a good agreement between them. The worn surface of the composites was analyzed by scanning electron microscope to understand the wear mechanism.
Effect of FSP process parameters with air blowing on microstructure and hardness of NiAl Bronze alloy
Authors: El-Mahallawy Nahed , Majed Ahmad , Abdel Ghaffar Abdel Maboud Ahmad 
Published: January 2020

Abstract
The present work investigates the effect of friction stir processing on microstructure evolution—grain refining and phase transformation- and hardness of NiAl bronze alloy. NiAl bronze alloys have a wide range of industrial applications especially in the marine field. The technique is based on applying friction using a rotating tool causing heat generation and material mixing. The effect of process parameters, such as; rotation speed, traverse speed, forced convection were investigated in this research. At constant traverse speed, the effect or rotation speed was studied at 800, 1000, and 1200 rpm. At constant rotation speed, the effect of traverse speed was studied at 40, 64, and 93 mm min−1. Minimum grain size was achieved at FSP conditions 800 rpm/93 mm min−1. Highest average hardness value was achieved by FSP 1200/93. At constant rotation and traverse speeds, the application of forced convection using air blowing at a rate of 4.5 m3 min−1 was studied and it was found to reduce the grain size within the SZ and to increase the average hardness value.
Microstructural evolution and cyclic oxidation of Pt-Al-YSZ coating under thermal shock
Authors: Rabieifar Arman , Nategh Said , Afshar M.Reza , Najafi Hamidreza 
Published: January 2020

Abstract
In this research, the effect of thermal shock has been investigated on the microstructure and cyclic oxidation of Pt-Al-7%YSZ coating applied on Rene-80 superalloy. The microstructural evaluation and phase identification were performed by field emission scanning electron microscope (FE-SEM) and X-ray diffraction (XRD). The thermal shock test consisted of repeated cycles of rapid cooling between 900 °C and 400 °C. Prior to the thermal shock test, the specimen coated by Pt-electroplating, high-activity low-temperature (HALT) aluminizing and the thermal spray of YSZ ceramic layer. From surface towards the substrate; the coating consisted of 5 layers including: 7% YSZ, PtAl2 + β-(Ni,Pt)Al, β-(Ni,Pt)Al with fine precipitates rich in α-(Cr) and α-(W), precipitate-free β-NiAl, and inter-diffusion zone next to the specimen surface. After the thermal shock test, spallation and delamination have been observed in the YSZ layer. The Pt-Al layer was found in upper and lower parts of the coating with different Pt concentration. Also, the chemical composition of the Pt-Al layer demonstrated the removal of PtAl2 particles and β transformation to both γ and γ′ phases. Degradation of Pt-Al layer occurred by ratcheting the thermally grown oxide (TGO), rumpling, and cavitation. Comparison of weight changes showed that the thermal shock resistance is improved by Pt-Al-7% YSZ coating.
Post-critical buckling of truncated conical carbon nanotubes considering surface effects embedding in a nonlinear Winkler substrate using the Rayleigh-Ritz method
Authors: Malikan Mohammad , Eremeyev Victor A 
Published: January 2020

Abstract
This research predicts theoretically post-critical axial buckling behavior of truncated conical carbon nanotubes (CCNTs) with several boundary conditions by assuming a nonlinear Winkler matrix. The post-buckling of CCNTs has been studied based on the Euler–Bernoulli beam model, Hamilton’s principle, Lagrangian strains, and nonlocal strain gradient theory. Both stiffness-hardening and stiffness-softening properties of the nanostructure are considered by exerting the second stress-gradient and second strain-gradient in the stress and strain fields. Besides small-scale influences, the surface effect is also taken into consideration. The effect of the Winkler foundation is nonlinearly taken into account based on the Taylor expansion. A new admissible function is used in the Rayleigh-Ritz solution technique applicable for buckling and post-buckling of nanotubes and nanobeams. Numerical results and related discussions are compared and reported with those obtained by the literature. The significant results proved that the surface effect and the nonlinear term of the substrate affect the CCNT considerably.
First-principles study of Zn-doping effects on phase stability and magnetic anisotropy of Ni-Mn-Ga alloys
Authors: Janovec Jozef , Straka Ladislav , Sozinov Alexei , Heczko Oleg , Zelený Martin 
Published: January 2020

Abstract
The effect of Zn doping on Ni-Mn-Ga magnetic shape memory alloy was studied by the first-principles calculations using exact muffin-tin orbital method in combination with the coherent-potential approximation and projector augmented-wave method. Trends in martensitic transformation temperature T

M
and Curie temperature T

C
were predicted from calculated energy differences between austenite and nonmodulated martensite, ΔE
A−NM, and energy differences between paramagnetic and ferromagnetic state, ΔE
PM−FM. Doping upon the Ga-sublattice results in stabilization of martensitic phase which indicates the increase in T

M
. T

C
is affected only weakly or slightly decreases, because ΔE
PM−FM of martensite does not change significantly with doping. The substitution of Mn atoms by Zn causes the decrease in both T

M
and T

C
. Comparing to Cu-doped Ni-Mn-Ga alloys, we predict that doping with Zn results in smaller decrease in T

C
but also in smaller increase in T

M
. Moreover, Cu doping upon the Ga-sublattice strongly decreases the magnetic anisotropy energy of martensite, whereas such strong effect was not observed for Zn doping. Based on the calculations of Zn-doped Ni-Mn-Ga alloys we suggest that simultaneous doping with Zn and an element increasing T

C
can result in significant increase in both transformation temperatures without strong decrease of magnetic anisotropy.