bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Forest Security Defense System Based on Beidou-Positioning
Authors: Yu Minzhe , Zhou Taoyun , Wang Xiaoya 
Published: February 2021

Abstract
Aiming at the problems that, it is difficult for the administrator to obtain various state information in the forest in real time, and it is impossible to make real-time and accurate judgments on the behaviors that endanger the forest and formulate effective countermeasures, a forest security guard service system based on Beidou positioning is designed. The system adopts STM32F103C8T6as the main control chip to control different types of sensors such as flame sensor, temperature sensor, humidity sensor, sound sensor and so on, the information of temperature, humidity, illumination, fire situation, animal type, personnel alarmaround the nodes in the forest environment associated with the location information of the Beidou module is transmitted to the server through the GPRS network in real-time, then the server broadcasts the normal information and the alarm information to the administrator through the control panel and the mobile client. The system adopts solar energy and can monitor the forest environment information automatically, which can greatly reduce the workload of the employees, low the costs of the network’s layout and monitoring, and provide the researchers with massive and reliable research data. It has a wide range of application in the forest management, agricultural monitoring, environmental monitoring and other fields.
Design and Implementation of Intelligent Agricultural Picking Mobile Robot Based on Color Sensor
Authors: Han Jieqiong , Liu Leian , Zeng Haojie 
Published: February 2021

Abstract
With the rapid development of artificial intelligence and the Internet of Things technologies, the degree of agricultural Informatization and intelligence has been further improved. Governments of every country attach great importance to agricultural modernization and intelligence. Based on this purpose, this project completely independently designed an intelligent mobile picking robot for application in agriculture. The picking mobile robot is mainly based on the STM32 development board, which is loaded with the color sensor, infrared sensor, and ultrasonic sensors, which is instead of the CCD sensor to identify maturity, thereby reducing the difficulty of the algorithm and realizing fast picking tasks. In the harvest season, the robot will be mainly used for picking fruits, which can completely, replaces farmers’ operations, liberating labor, and breaking the constraints of time and space.
Growth and Metabolism Control of Lactic Acid Fermentation Based on Internet of Things
Authors: Xu Ziwei , Ye Jun , Su Long , Liu Zhicong 
Published: February 2021

Abstract
With the development of Internet of Things technology, it drives the new development of most industries. Combining the fermentation industry with the LOT, fermentation is a highly nonlinear process in which operators need to measure and operate regularly. This paper proposes an efficient growth and metabolism control method for lactic acid fermentation based on the Internet of Things, using Internet of Things technology combined with cloud computing. Through neural network and expert system of predicting, the fermentation process can be controlled more accurately and effectively, and the threshold value can be changed in time according to the growth stage of the microorganism, to a certain extent, to avoid the error of manual operation. Show the advantages of combining the Internet of Things.
A Dam Performance Model Based on Rehabilitation of the Kariba Dam
Authors: Zhou Junxiao , Cheng Junwei , Li Qian 
Published: February 2021

Abstract
Because of the damage in its major parts such as the plunge pool and sluice gates, the Kariba Dam is now in a dangerous state that needs urgent actions of rehabilitation. In this paper, we use the multiple dam system in Kariba to verify the dam performance models we propose. First, a dam performance model is built with 3 parts which are focused on hydropower generation, water storage capacity, and the costs of a single dam respectively. Next, we simulated the geometrical characteristic of the dams based on the terrain of Zambezi river basin. The number and placements of the multiple dams system are determined to satisfy the generation and water capacity of the existing dam. Discussion of the costs-benefits difference between multiple dams system and other 2 solutions are made, the result shows that mulitple dam system is the optimal solution, and the model we proposed were proved to be reliable.
Differentially Private Geospatial streams publish for VANETs
Authors: Ding Zhe , Li Binyong , Zhao Jun , Shi Lei 
Published: February 2021

Abstract
With the development of vehicular Ad hoc Networks (VANENTs) technology, application in VANENTs has becomes an important role in human life. In practice, the location information of not all vehicles in VANENTs contains sensitive information. But traditional publish algorithm for geospatial stream for VANENTs based on differential privacy assumes that all the data in the geospatial stream contain sensitive information of users. As a consequence, utility of the traditional algorithm has been decreased. In this paper, a novel algorithm is proposed to publish geospatial stream, denoted as PGSV. PGSV make used of one-sided differential privacy to guarantee sensitive information. In the end, we make used of public dataset to verify efficiency of PGSV. The result show that PGSV have increased utility of published result and guaranteed security of published result.
A UWB Location Algorithm---Based on Adaptive Kalman Filter
Authors: Yi Chen , Da An Ze , Hui Chen , Shan Chen , Xuan Zhou 
Published: February 2021

Abstract
In order to solve the problem of large fluctuations in UWB(Ultra Wide Band) positioning accuracy and solid-state deviations in the positioning results, which are in complex indoor environments, an adaptive Kalman filter method is introduced in the later stage of data processing. This method can better retain data information and obtain better filtering effects when the system noise is complex and measurement information is missing,.Thereby providing better positioning accuracy. The experiment uses AGV trolley equipped with UWB sensors to obtain measurement data, uses traditional Kalman filtering and adaptive Kalman filtering methods to compare the filtering effects of the algorithms. The experimental results show that when the measurement information is missing, compared with the traditional Kalman filter algorithm, the adaptive Kalman filter method is a real-time high-precision indoor positioning algorithm with higher positioning accuracy.
Research and Design of Electrical Stimulation Electrode Arrays Device
Authors: Tang Junquan , Wu Wenzhu 
Published: February 2021

Abstract
A wireless electrical stimulation device based on biological electrode array is developed. The stimulator uses the FPGA as the central controller, a 4 × 4 electrode array is built and direct digital synthesizer (DDS) is used to generate stimulating waveforms. To generate adequate current load on human body, an isolated bi-direction constant current source module is designed which can detect electrode loss, as well as provide safe bi-direction constant current. The host computer uses an interactive software for android system, and the stimulating amplitude, pulse width and frequency and the electrode selection can be adjusted flexibly. The ES electrode arrays device has the characteristics of small size, good stability, low power consumption, easy to operate. It will bring convenience to clinical applications and bioelectrical stimulation scientific researches.
Research on Blockchain-Based Organization Collaboration System
Authors: Zhang Zhibin , Xi Jianqing 
Published: February 2021

Abstract
Collaboration log, which can be used to reflect the trust of an organization and applied to subsequent analysis and audit, is constantly generated during the organization’s collaboration. Common systems usually store them by a third-party organization, which exists at risk of tampering. Regarding this issue, blockchain can safely manage the collaboration logs owing to its decentralized and unforgeable features. In this paper, we implement an organization collaboration prototype system for spare parts procurement based on the Software As A Service(SaaS) collaboration model and Hyperledger Fabric solutions. To validate the performance of the prototype system, we conduct some performance tests on the prototype system. The result shows the feasibility of our proposed system.
Deterministic iterative path planning algorithm based on node storage structure
Authors: Lu Hong , Di Yue , Yan Fan Jun 
Published: February 2021

Abstract
Aiming at the problems of low efficiency of path planning, a new node storage structure is introduced and the search method is optimized to improve the deterministic iterative path planning algorithm. First, the number of antibodies is determined based on the connectable starting path point, when generating the initial antibody with the inspiration of the optimal angle vaccine. Then, the connectable path point of the starting point is treated as the root node to rebuild the new path with path filtering by means of the optimal path fit value. The initial optimal antibody is used as the screening criterion to avoid invalid path point mutation with 100% confidence conditions. Finally, a path point is a basic unit that forms the connection network and stores the parameter information that reaches it. After the algorithm iteration, the optimal pathis output. In different maps, the algorithm in this paper is compared with others. The results show that the algorithm effectively reduces the computational cost and has better adaptability to different maps.
Causal Features Extraction for Workpiece
Authors: Liu Li , Huang Chen Xiang 
Published: February 2021

Abstract
In order to reduce the cost, computer vision technology is introduced into the measurement of workpiece size and shape on the factory production line. At present, the most widely used solution is the neural network model based on big data. However, the lack of data and the high cost of data processing also greatly limit the practical application of this aspect. The method of feature extraction brings challenges to the real-time, rotation invariance, and anti-noise of online detection. In this paper, firstly, Harris operator is used to extract feature points quickly. Then a two-layer scale space based on causality is constructed to filter the noise and project downward to obtain the robust feature position, which provides a basis for subsequent processing.
Research on Collaborative Filtering of Food Information Security in E-Commerce Platform
Authors: Luo Sheng 
Published: February 2021

Abstract
Recommender systems are one of the most important technologies in the electronic commerce system. In a collaborative filtering recommendation algorithm, similarity calculation is the key to determining the efficiency of the recommendation algorithm. This paper analyzes the shortcomings of traditional similarity measurement methods in recommender systems and proposes a scoring-matrix-filling algorithm. Based on information categories and user interest similarity, the algorithm can reduce the negative influence of data sparsity on the recommendation result to some extent. The research results have certain practical and guiding significance.
Investigation of the intermetallic coating of the Ni-Fe system obtained by surface laser treatment on a steel substrate.
Authors: Gerashchenkov D A , Kuznetsov P A , Makarov A M , Krasikov A V , Markov M A 
Published: February 2021

Abstract
The article presents the results of a study of the Ni-Fe system coating on a 09G2S (Fe-Mn9% Si2%) steel substrate obtained by laser surface treatment. The coating was obtained in two stages. At the first stage, a precursor coating (PC) of Nickel was applied by cold spray (CS). At the second stage, its surface was laser treatment. The article shows changes in the composition and properties of the coating after laser treatment at different thicknesses of the precursor coating and different laser treatment modes. The results of the study showed that the composition and structure of the coating can be controlled by controlling the thickness of the precursor coating, the scanning speed, the scanning hatch, and the number of repeated scans.
Effect of initial particle size and various composition on the spark plasma sintering of binderless tungsten carbide
Authors: Lantsev E A , Malekhonova N V , Chuvil`deev V N , Nokhrin A V , Boldin M S , Andreev P V , Smetanina K E 
Published: February 2021

Abstract
The results of studies of the kinetics of high-speed spark plasma sintering (SPS) of plasma-chemical nanosized and industrial micron tungsten carbide powders are described. During SPS the carburization of the surface layer of tungsten carbide samples takes place, which leads to differences in the phase composition and hardness of the surface and central regions of sintered ceramics. The process of SPS of tungsten carbide can be sequentially represented as a change of the following mechanisms: rearrangement of particles at lower temperatures (Stage I) → sintering of particles due to grain boundary diffusion (Stage II) → sintering due to diffusion in the crystal lattice (Stage III- 1) → sintering under conditions of intensive grain growth with an abnormally low diffusion activation energy (Stage III-2).
Superplasticity of fine-grained alumina obtained by spark plasma sintering
Authors: Popov A A , Chuvil’deev V N , Boldin M S , Nokhrin A V , Lantsev E A , Murashov A A 
Published: February 2021

Abstract
Investigations of plastic deformation of fine-grained ceramics based on alumina obtained by the method of spark plasma sintering in the temperature range of 1150-1320 ° C at an applied stress of 40-100 MPa are presented. Based on the experimental data, the parameters of rheological equations were established. It is shown that the mechanism of high-temperature deformation of alumina is superplasticity. In the process of plastic deformation, the grains of alumina do not stretch, which confirms the mechanism of superplasticity - grain boundary sliding. The activation energy for superplastic deformation was Q = 17.8 kTm at d = 6 μm and Q = 24.6 kTm at d = 1 μ m, which is very close to the activation energy of grain boundary diffusion in aluminum oxide Qb = 20 kTm. For a coarse-grained material, an assumption was made about a possible mechanism for lowering the activation energy due to the generation of dislocations by the grain boundary.
Electrochemical corrosion tests of Nd-Fe-B-based magnetic materials with modified structure
Authors: Skotnicova K , Kolchugina N B , Cegan T , Prokofev P A , Lasek S , Jurica J , Dormidontov N A , Bakulina A S , Rusinov D A 
Published: February 2021

Abstract
The wide application of Nd-Fe-B permanent magnets in addition to the rare-earth metal resource constrains determine the necessity of their recycling. One of approaches to magnet-to-magnet recycling consists in using the grain boundary modification of sintered magnet material, which includes the grain-boundary diffusion (GBD) and grain-boundary structuring (GBS). The preparation of magnets with the modified structure determines a need for research their corrosion resistance. The corrosion resistance of magnets prepared by powder blending techniques, namely, magnets, which were recycled from hard-disk drivers, in using Dy/NdH2 additions in the powder mixture and magnets, which were prepared from strip-casting alloy, in using TbH2 hydride in the powder mixture, is studied. The corrosion potential and polarization resistance were measured, and the average corrosion rate was estimated based on polarization measurements of the magnet samples in the aqueous solution 0.1 M NaCl. Furthermore, a pitting resistance corrosion test was conducted and the values of pitting and repassivation potential were determined. The corrosive properties of the magnet samples are discussed from the viewpoint of the phase compositions of the material.
Recent developments of microcapsules and polymer particles for separation medium
Authors: Shiomori K , Matsune H , Kiyoyama S , Takei T , Yoshida M , Umakoshi H 
Published: February 2021

Abstract
Microcapsules and porous polymer particles containing extractants, which are functional molecules to extract target ions or molecules by specific interaction using in solvent extraction process, are expected to be an effective separation medium of various substances from aqueous solution in hydrometallurgical process of harmful or valuable metals and in environmental protection processes from various pollutants. The preparation method, encapsulating materials and application area of these materials has been developed and extended in recent years. Recent topics of this field was been presented. The research on the polymeric particles for separation medium investigated by authors was introduced and showed the structural effect of the polymeric particles containing extractant on the separation performance of metal ion and chiral separation of amino acids by porous particles impregnated with phospholipids.
Mapping leachate distribution based on the self-potential method in Manggar Landfill, Balikpapan Indonesia
Authors: Arisalwadi M , Rahmania  
Published: February 2021

Abstract
TPA Manggar is a landfill in Balikpapan City. During the rainy season, the leachate discharge entering the processing plant is so large that the collection tub will not be able to withstand the leachate flow rate. To find out the direction of the distribution of leachate waste and the extent to which it has spread and to map the areas at high risk of being contaminated, measurements were taken using the Geophysical method, namely the Self Potential Method (SP). The SP method is based on measuring the self-potential of rocks in the earth’s crust without having to inject an electric current into the soil. Based on this, research will be carried out to determine the mapping of the distribution of leachate flow in the TPA Mangaar area. The results of measurement and processing of self-potential data can be showing beneath the surface in the form of leachate distribution in the study area based on isopotential contour. Based on the results of contour and isopotential map data processing. The highest potential value of this study was 60 mV, while the lowest potential value of this study was -40 mV.
One-dimensional data analysis for aquifer layer in Pancuma Village, Tojo Una-Una, Central Sulawesi
Authors: Sastrawan F D , Wulandari R , Rusli M , Rahmania  , Arisalwadi M 
Published: February 2021

Abstract
The need for water resources continues to increase from year to year to meet various needs. The availability of water resources is increasingly limited due to seawater intrusion or water pollution. Pancuma Village is one of the coastal areas where it is necessary to study the potential of groundwater, especially during the dry season. One way to determine the presence of the groundwater aquifer layer is by using the resistivity method. This method is an effective geophysical method for shallow exploration so that it can be used to determine the structure beneath the earth’s surface. The configuration used in this study is the Schlumberger configuration. Research in Pancuma Village aims to determine the subsurface stratigraphy of the study area based on the resistivity value and to determine the distribution of groundwater aquifers in the study area. The results obtained from this study are that there are four types of subsurface layers in the study area, namely topsoil, claystone, iron sand, and alternating sandstone with conglomerates which are the aquifer layer in the study area. The resistivity value estimated at the aquifer layer ranges from 119 Ωm - 529 Ωm with a thickness of up to 45 meters.
Rock porosity estimation research using refraction seismic waves in Bora Village, Sigi Regency
Authors: Sandra  , Efendi Rustan , Astuti Meila , Rusydi  , Badaruddin  , Iqbal  
Published: February 2021

Abstract
Rock Porosity Estimation Research Using Refraction Seismic Waves in Bora Village, Sigi Regency has been conducted. The purpose of this study was to determine the distribution of porosity of shallow subsurface rocks at geothermal locations. Data is collected on 6 different trajectories using ES-3000 to get a picture of subsurface waves. The data processing method uses Seisimager software to get a cross-section of the wave velocity and Rockwork software to get a cross-section of the porosity of subsurface rocks. The results showed different rock porosity values for each trajectory. Rock porosity values obtained at track 1 to track 6 are in the range of 27.1% to 30.5%. All trajectories are on a special porosity scale which means they have a large porosity volume as a place to store fluid.
Analysis of factors affecting the level of poverty in Central Sulawesi
Authors: Handayani L , Rais  , Putera F H A 
Published: February 2021

Abstract
Poverty is a problem faced both nationally and globally. Central Sulawesi Province is one of the provinces in Indonesia with an economic growth rate that is above the national rate, which is inversely proportional to the amount of poverty that occurs. This study aims to find a model using ordinal logistic regression analysis to predict predictor variables that affect poverty and rank the influencing predictor variables using dominant analysis. Based on 11 predictor variables that are thought to be closely related to the characteristics of poverty with the approach of poor households in Central Sulawesi province, ordinal logistic regression analysis concludes that seven predictor variables that affect it are X1 (floor area), X4 (roof), X5 (latrine facilities), X6 (drinking water), X9 (credit), X10 (assets), and X11 (aid rice). The importance of the seven predictor variables can be ranked using dominant analysis. The dominant analysis concludes that the highest importance in influencing poverty in Central Sulawesi province is the variable X11 (aid rice) followed by variables X6 (drinking water), x5 (latrine facilities), X1 (floor area), X4 (roof), X10 (assets), and X9 (credit).
An application of super mean and magic graphs labeling on cryptography system
Authors: Sudarsana I W , Suryanto S A , Lusianti D , Putri N P A P S 
Published: February 2021

Abstract
An edge-magic total (EMT) labeling on a simple graph G with p vertices and q edges is a bijection f: V∪E→{1, 2, …, p + q} such that for each edge xy of G, f(x) + f(xy) + f(y) = k, for a fixed positive integer k. Moreover, an EMT labeling f is a super edge-magic total labeling (SEMT) if f(V) = {1, 2, …, p}. Furthermore, a graph G is called a super mean (SM) graph if there exists an injective function f from the vertices of G to {0,1,2,…,q} such that when each edge uv is labeled with (f(u) +f(v))/2 when f(u) +f(v) is even, and (f(u) +f(v) + 1)/2 when f(u) +f(v) is odd, then the resulting edge labels are distinct. There are two essentials results that will be proposed in this paper. In the first result, we show that a graph (n, 1) − F Caterpillar has a SM labeling and a graph Hu,y

K

¯

n

has a SEMT labeling. In the second result, we will give an application of these labeling to increase the security level of Affine Cipher in which to encrypt a text on socials media.