bluuebunny/crossref_metadata_2025 huggingface dataset:
Self‐determined motivation, emotional process and subjective performance among young elite athletes: A longitudinal hierarchical linear modelling approach
Authors: Cece Valérian , Duchesne Maxime , Guillet‐Descas Emma , Martinent Guillaume
Published: January 2020

This study aimed to explore relationships between contextual self‐determined motivation, everyday appraisals and emotions related to the competitive environment and subjective performance of young elite athletes. Thirty‐one young tennis players (18.45 years ± 4.63) involved in intensive training centres completed initial (Time 0 – T0) self‐determined motivation questionnaire and a fortnightly logbook including everyday cognitive appraisals, discrete emotions and subjective performance. We computed a series of hierarchical linear modelling analyses (HLM) to explore the relationships between the variables and Sobel tests to examine the mediating effects. HLM results showed that: (a) T0 autonomous motivation was positively associated with adaptive appraisals (challenge and benefits); (b) threat and loss were positively related to unpleasant emotions (anxiety, anger, dejection) and negatively associated with pleasant emotions whereas challenge and benefits were positively related to pleasant emotions and negatively associated with unpleasant emotions; (c) subjective performance was positively associated with happiness and negatively associated with dejection. Moreover, the Sobel tests revealed that: (a) appraisal was a mediator of the relationship between T0 self‐determined motivation and discrete emotions; and; (b) emotions were mediators of the relationship between appraisals and subjective performance. In sum, the present study showed that young athletes’ self‐determined motivation assessed at the beginning of the study impacted their everyday cognitive appraisals, their experience of pleasant and unpleasant emotions, and their subjective performance levels along a 4‐month period. To conclude, this study highlighted the relationships between the self‐determined motivation, the emotional process and the performance of young elite athletes involving in intensive training settings.
Advanced fluorescence imaging of in situ protein aggregation
Authors: Lu Meng , Kaminski Clemens F , Schierle Gabriele S Kaminski
Published: January 2020

The aggregation of intrinsically disordered proteins is a hallmark of neurodegenerative diseases, such as Alzheimer’s, Parkinson’s and Huntington’s disease. Although we currently have a good molecular level understanding on how protein aggregation occurs in vitro, the details of its self-assembly in live cells are still mainly unknown. During the last ten years, we have witnessed the rapid development of advanced imaging techniques, especially super-resolution and fluorescence lifetime-based microscopy, in different areas of cell biology. These methods have been revolutionising our understanding of how proteins aggregate, providing unprecedented high spatial-temporal resolution which permits us to capture the kinetics of aggregate seeding and expansion, the motion and distribution of individual aggregates within the cells, and its structural change. In this article, we will review the study of in situ protein aggregation using advanced imaging techniques, with the focus on protein aggregate structure and its assembly dynamics.
Analysis of the stress-strain state of the toroidal transition connecting the wall and the bottom of the tank
Authors: Zemlerub L E , Terzeman J V , Teregulov M R
Published: January 2020

The interface zone of the wall and bottom of the vertical cylindrical steel tank (VST) is the most loaded part of the structure, which operates in a complex stress state. As a result of cyclic loads in places of stress concentration due to low-cycle fatigue and corrosive wear of the metal in the joint zone of the wall and the bottom of the VST the defects inevitably occur resulting in reliability decrease and service life of the tank. It is proposed to replace the T-shaped welding joint of the wall with the bottom with a part of the toroidal ring. At the same time to ensure the stability of the tank along the entire contour of the wall under the toroidal transition it is proposed to install a thrust bearing with fixing plates. The results of the calculations of the stress-strain state in the interface zone of the wall and the bottom showed that the proposed design will significantly reduce the occurring stresses, increase reliability, increase the period between repairs and extend the service life of tanks which will significantly reduce the cost of operating tank farms.
New protecting structures on buildings of explosive production
Authors: Korolchenko A D
Published: January 2020

The protective structures must be installed in the enclosing structures of explosive production buildings. Protective structures, when an explosion pressure reaches a certain value, caused by the pressure opening, release a square for the expiration of gases from the volume of the room where the explosion occurs. In the proposed work, new protective structures were considered. The process of opening and movement of the panel with the release of the area for depressurization is studied in the process of explosion development. The movement of the panel begins with the destruction of its attachment to the building frame. In this paper, the laws of change in the pressure of the explosion were considered, taking into account the inertia of the movement of the panel.
Metaheuristic optimization of building structures with different level of safety
Authors: Alekseytsev A V
Published: January 2020

A methodology for solving the optimal synthesis problems of bearing and enclosing structures is proposed, including for steel frames, column reinforced concrete foundations, heat-transmission shell using genetic iterative diagrams and triangulation procedures. The approaches to finding solutions for buildings of normal and increased levels of responsibility are considered. A three-stage diagram is proposed that includes, at the first stage, the synthesis of the topology of the steel frame, at the second stage, the optimization of its shape and parameters of the rods, and at the third stage, the consideration of possible emergency situations. For buildings with a normal level of responsibility in the particular case, the use of the first two stages is allowed. The structure of the frames is synthesized by using the algorithm of plane triangulation of a set of points, which are meant as structural joints. The design parameters are selected using an improved genetic algorithm adapted for solving problems of this type. An example of the synthesis of the building structure of a weighted vehicle is considered, illustrating the performance and high efficiency of the approach under consideration.
Modeling of corrosion-mechanical behavior of composition rotation shells in a temperature field
Authors: Mavzovin V S , Ovchinnikov I I
Published: January 2020

In the process of exploitation, vessels and apparatuses of chemical productions can be subjected to the joint action of long-acting loads, temperatures, and corrosive working media. Real vessels and apparatuses are a combination of shells of rotation of various configurations: cone, torus, sphere, cylinder, etc. When calculating, one should take into account the edge effect at the points of inflection of the guide. Many vessels and apparatuses of chemical engineering work in uneven thermal and power fields, which cause local corrosion. The article considers the problem of calculating geometrically and physically nonlinear composite shells of revolution subjected to corrosion wear in an inhomogeneous temperature field, and the corrosion rate depends on both the stress state and temperature. Equations are obtained that describe the corrosion-mechanical behavior of shells of revolution, taking into account corrosion wear in force and thermal fields. The stress-strain state of the shell of rotation is studied by the method of successive perturbations of the parameters (in this case, time), and the time step value is selected from the condition of satisfying the required accuracy of solving the problem. At each time step, the method of initial parameters with orthogonalization of S. K. Godunov solves the boundary-value problem for a system of resolving equations with the corresponding boundary conditions. The results of calculating an autoclave, which is a combined shell of revolution: a sphere - a spherical torus - a cylinder, are presented.
Problems related to storage of acid substances in reinforced concrete tanks
Authors: Maj Marek , Tamrazyan Ashot G
Published: January 2020

In an industrial plant with continuous production, there were two breakdowns in the company’s sewage treatment plant for liquids with a high sulfuric acid content. Despite securing the underground walls of reinforced concrete tanks with protective coatings resistant to the impact of highly concentrated solutions with sulfuric acid as well as liquids with high alkaline concentration, there was sulphate corrosion destroying the insulation and structural reinforcement. The reasons for the failure were simultaneously improperly selected protective coatings and the technology of applying these coatings to the walls of tanks. In addition, the appearance of cracks in concrete and in polypropylene slabs is influenced by the rheology of construction materials, which is permanently ignored in the construction of multi-layer walls.
Dynamic analysis of the elasto-plastic behaviour of buildings and structures in the SCAD ++ software package
Authors: Fialko S Yu
Published: January 2020

The problem formulation of nonlinear equations of motion obtained by the finite element method applying to the dynamic analysis of buildings and structures is presented. The elasto-plastic behaviour of reinforced concrete structural elements is described using the plastic flow theory, moreover, for concrete, the Drucker-Prager yield criterion is used for bending elements, and the yield surface, which coincides in shape with the Geniev strength surface, for compressed-bending elements. Concrete degradation due to crack opening is simulated by the descending branch of the σ − ε diagram. The plastic flow theory with von Mises yield criterion describes the behaviour of reinforcement. Using the aforementioned constitutive models, a finite element library was developed, including plane shell quadrilateral and triangular finite elements based on the Mindlin-Reissner shear theory as well as a two-node spatial frame finite element based on the Timoshenko shear theory. The seismic analysis of the 3-D model of multi-storey building is considered as an example.
Concealed nitrogen footprint in protein-free foods: an empirical example using oil palm products
Authors: Hayashi Kentaro , Oita Azusa , Nishina Kazuya
Published: January 2020

The agro-food system satisfying human food demand releases heavy nitrogen (N) loads into the environment. The N footprint is an indicator of N loads from individual consumption of food as well as energy. A bottom-up approach called the ‘N-calculator method’ calculates the food N footprint using the N content in consumed foods, such that the N footprint of protein-free foods is treated as zero. This method underestimates the N footprint of protein-free foods, such as oil and sugar, when the source crops require N input in production. In this study, we propose a substitution factor, the virtual nitrogen factor for protein-free foods (VNFree), defined as the potential N load per unit weight of consumed food, to explicitly calculate the production N footprint. Oil palm and its products, palm oil (PO) and palm kernel oil (PKO), were chosen for this case study of protein-free foods. Global mean VNFree values of PO and PKO obtained by averaging national-scale data of the three countries with the largest production (Indonesia, Malaysia, and Thailand) were 0.0241 and 0.0037 kg N kg–1 oil, respectively. The 6.5-times difference in VNFree values was attributed to the difference in oil yield. The food N footprint of PO and PKO calculated here represented less than 2% of the previously reported total food N footprints of several countries. However, oil palm products are also used for industry, and the chemical fertilizer consumption for oil palm accounted for only 8%–12% of that of all oil and sugar crops. The protein-free N footprint of all these products will be much larger. We expect that the current N-calculator method as a bottom-up approach will be improved by expanding the VNFree concept, which enables the calculation of the concealed N footprint in protein-free products, including all uses of oil and sugar crops.
Development of plant monitoring systems based on multi-camera image processing techniques on hydroponic system
Authors: Wijaya R , Hariono B , Saputra T W , Rukmi D L
Published: January 2020

The research objective is to develop a monitoring system for the growth of red spinach plants based on image processing techniques from images captured using multiple cameras. The plant used is red spinach (Amaranthusgangeticus L.). Three cameras are installed in the top, side and front position of the plants in the photo box with lighting every 2 days up to 39 days. Model development uses a sample of 236 plants divided into 178 plants used model and 58 plants for model testing every two days. This model tested by the determination coefecient (R2) to measure how much the independent variables ability to explain the dependent variable. The network architecture were three input, first hidden layer (5 neurons), second hidden layer (5 neurons), and output layers with 1 neuron. ANN function with value of the learning level is 0.001. The activation function to predict fresh weight and leaf area of plants is tansig-logsig-tansig and tansig-tansig-logsig. ANN model can predict fresh plant weight with MSE value of 0.02385 and RMSE of 0.154, while for leaf area MSE value of 0.26428 and RMSE of 0.514.
In Vitro Regeneration of Stevia Rebaudiana Bertoni from internode and leaf explants using different concentrations of BAP (6-Benzyl Amino Purine)
Authors: Asmono S L , Djenal  , Rahmawati
Published: January 2020

The aim of this study was to determine the response of the growth of internode explants and leaves of Stevia (Stevia Rebaudiana Bertoni), which were cultured at several BAP concentrations. This study was designed using a non Factorial Complete Randomized Design that is by testing the internode and leaf explants at 3 different BAP concentration levels of 2, 3 and 4 ppm and will be repeated 10 times. The parameters observed related to callus growth include: emergence, type, color and percentage of callus formation. In addition, observations were also made on the parameters of bud growth including the appearance of shoots, number and length of shoots. The results of this study indicate that 100% of leaf and internode explants are able to form callus. The color of the callus explants on average leaves are yellowish green while the internode explants are yellowish white and all have compact textures. In shoot growth parameters, only internode explants were able to grow shoots while leaf explants were not. The emergence of shoots (3 DAP), number of shoots (8.70), and shoot length (2.81cm) were produced by MS media with the addition of 3ppm BAP.
Yield Enhancement of Soybean (Glycine max l. Merill) in Genotypes ‘Polije-4’ and ‘Polije-5’ through Backcross with Large Seed Donor Parent
Authors: Sjamsijah N , Rahayu S , Suharjono S , Rosdiana E , Santika P
Published: January 2020

Soybean is one of important crops in Indonesia because of its role as a source of vegetable protein and it is used as an industrial raw material. However, national soybean production cannot keep up with the need. Hence, large amount of import is required to meet national needs. This study aims to assemble new high yielding soybean varieties, which have high yield (>3 ton/ha), early maturity (harvest age <76 days), large seed (>15 g) and have moderate resistance to major soybean disease, the leaf rust, caused by Phakopsorapachyrhizi. In the previous research, soybean genotypes which fit to the criteria above have been obtained, namely ‘Polije-4’ and ‘Polije-5’. However, these genotypes have a major drawback which is the small size of the seed (around 13 g/100 seeds). This drawback can be repaired by using the recurrent backcross method with ‘Ryokko’ edamame as the donor parent, which has a distinctly large seed size around 35 g/100 seeds. In the current research, this backcross method between ‘Polije-4’ and ‘Ryokko’, as well as ‘Polije-5’ and ‘Ryokko’ was conducted and resulted in the increase of yield(>20 g/plant) and seed size (>15 g/100 seeds), but still maintaining the early harvest age (⩽ 76 days).
Analysis Positioning Map and Competitiveness of Kampung Unggul Balitnak Chicken based Farmer’s Perception in Jember Regency
Authors: Suryadi U , Muksin  , Pristiwaningsih Estin Roso
Published: January 2020

The purpose of research was nalysis of Kampung Unggul Balitnak (KUB) position compared by joper, male layer, broiler, and arab. The research had done in twenty subdistrict, Jember Regency. Research method was used by snowball sampling. Data analysis for knowing KUB position compared by joper, male layer, broiler, and arab was Multi Dimensional Scaling (MDS) based on product quality (X1) and business eficiency (X2). Knowing cometitivenes used PAM matrix. The resul of analysis showed the comodity had similiraty by KUB was joper. Postioning map showed joper had near position with KUB. Result of coefficient competitiveness PAM matrix showed KUB had highest coefficient than joper and arab but lower than broiler and male layer.
The use of Golden snail (Pomacea canaliculata) egg as source of carotenoid for improvement of Arabic Chicken egg quality
Authors: Nusantoro S , Rouf A , Wulandari S , Nurkholis  , Kustiawan E , Awaludin A , Utami M M D
Published: January 2020

Consumers awareness of the usage of natural product is increasing but exploration of natural carotenoid originated from animal was conducted into a lesser extent. The objective of this study was to examine the use of Golden snail egg powder (GESP) for improvement of quality of Arabic chicken egg. Thirty six Arabic chicken (silver and golden chicken, 22 weeks of age, 1,123.9 ± 155.1 g initial body weight) were assigned in completely randomized design (CRD), consisting of 4 dietary treatments (R0 = control 0%; R1 = 4%; R2 = 8%; and R3 = 12% level of GESP) and 3 replications. Data were analysed using one way ANOVA with homogeneity and normality tested in advance. After one month of experiment, data showed that up to 12%, yolk carotenoid and yolk score significantly increased in line with dietary GESP level. However Haugh unit and yolk indices were not affected by GESP. This result indicates that Golden snail egg can be used as carotenoid for improvement of chicken egg quality.
Can Near Infrared Spectroscopy (NIRS) Quantify The Quality of Fishmeal Circulating in Jember, Indonesia?
Authors: Wulandari S , Syahniar T M , Nusantoro S
Published: January 2020

The objectives of this study were to determine the range of nutrient content of fishmeal circulating in Jember Regency, East Java, and to make a calibration standard for quick calculation using NIRS by R2 and RMSECV. This study used 11 fishmeal samples from around Puger, Jember and around Muncar, Banyuwangi. The physical examination included organoleptic tests (color, odor, and texture), density, and chemical analysis of fishmeal samples. The data obtained were analyzed descriptively. The results indicated that the nutrient content of fishmeal had greatly variation. The CP content presented a quite high ranged between 26.61% to 64.30%. The result of organoleptic test showed the color was yellowish brown, brown, slightly brown to dark brown. The odor was generally standard, which was fishy. Some fishmeal samples were moist in texture, such as fishmeal samples from Jember A (22.03%) and Muncar Banyuwangi B (19.65%). The average of fishmeal density was 0.528 g/ml that ranged between 0.341-0.726 g/ml. The measurement of R2 and RMSECV calibration of fishmeal using NIRS showed good results to predict CF, DM, and EE contents. The usage of NIRS technology was recommended for proximate analysis unless ash content due to the absence of spectrum absorption for minerals.
Characteristic chemical and physical of yellow pumpkin (Cucurbita moschata) traditional steamed cake (bolu kukus) with substitution and fermentation duration variation
Authors: Handayani A M , Apriliyanti M W , Supriyadi  , Firgiyanto R , Mukaromah D
Published: January 2020

Pumpkin is one of the fruit in Indonesia that has contained much nutrition such as antioxidants (beta-carotene), carbohydrates, minerals, proteins, and fat. The utilization of yellow pumpkin is limited to food. One of the diversification products was the traditional steamed cake (bolu kukus). The research aimed to know the effect of yellow pumpkin (Cucurbita moschata) substitution and fermentation duration variations on the characteristics of physical and chemically of steamed pumpkin cake. Methods of research were randomized block design which consists of two factors. The first factor was the of yellow pumpkin substitution variations (25% w/w of the total flour, 50% w/w of the total flour, and 75% w/w of the total flour) and the second factor was the fermentation time variations (1.5, 2, and 2.5 hours).The results showed that steamed pumpkin cake were contain the water about 31.09% - 54.52%, the ash about 0.81% - 1.23%, the protein about 4.41% - 7.87%, the fat about 0.26% - 0.52%, the carbohydrate about 40.73% - 59.99%, and the percentage of the expansion volume about 46,35% and 184,59%.
The demand for beef in Indonesian urban
Authors: Anindita R , Sadiyah A A , Khoiriyah N , Nendyssa D R
Published: January 2020

The low consumption of animal protein food is one of the causes of the increasing number of stunting in Indonesia. This study analyzes the effect of changes in prices and incomes on demand for five animal food groups, namely fish, chicken, beef, eggs, and milk. The demand function approach uses the Almost Ideal Demand System model with the parameter estimates using Seemingly Unrelated Regression. The research data using 124,513 households from Indonesian National Socio-economics Survey in 2016. The results showed that beef was the most elastic animal food among all animal foods with a demand elasticity of 1,031%, followed by chicken meat (0.564%), milk (0.451%), eggs (0.313%), and sea fish (0.151%). Beef is a luxury item. Beef is substituted with sea fish, eggs, or chicken meat. Beef is complementary to milk. The increase in beef prices is one of the policies that need to be considered so that the target of protein consumption is immediately reached.
Design of Positioning System for Glass Plate Printer
Authors: Xu Ping , Lai Wenxuan
Published: January 2020

Glass plate printing has been widely used in production and life. However, for fragile glass plate, high precision positioning system is the key in the printing process. In this paper, a motor driving and positioning system consisting of operating mechanism, positioning mechanism and lifting mechanism is proposed. The structure and design scheme of each mechanism are given. Finally, the finite element analysis and stress checking of key parts are carried out. The results provide a new idea for the design of similar systems and have a good reference value.
The Research on SPA Distribution Channel from the Perspective of International Supply Chain Environment
Authors: Qiu Ling
Published: January 2020

In the context of economic globalization, the environment of distribution industry has changed in essence. The rapid development of e-commerce based on Internet information technology has changed and even subverted the production and sales model of products. Personalized and diversified consumption characteristics have become the new common things. Based on the consumer demand, this paper studied SPA distribution channels and constructed a unique supply chain. On the basis of summarizing previous studies, this research used analytic hierarchy process to confirm the weights and used the empirical study to prove practicality of the index system and model.
Route Analysis of Trail Adjustable Wagon Based on Crank Rocker Mechanism
Authors: Liao Yinglong , Yi Jiangang , Fang Ziyan , Hao Cuixia
Published: January 2020

The trajectory analysis of a transport wagon is a prerequisite for its rational path planning. In order to analyze the influence of crank and rocker lengths on the trajectory of a transport wagon in a four-bar spatial mechanism, two kinds of trajectories, single “8” and double “8” were simulated. The results show that changing the crank length will obviously change the trajectory shape, and changing the rocker length will mainly change the walking angle. This conclusion provides a basis for the route adjustment and planning of transport vehicles.
Improved Disease Gene Predication Method
Authors: He Gerui , Liu Zhiming , Luo Lingyun , Wan Yaping
Published: January 2020

The prediction of disease genes has always been a hot topic in the field of bioinformatics. Machine learning methods can effectively dig out the hidden relationship between disease-causing genes and predict disease genes. At present, the prediction algorithm of Gene Ontology (GO) combined with GO annotation has limitations. It is believed that disease genes will only accumulate on the biological process branches of GO, ignoring the cellular components and molecular function branches. Disease gene prediction is performed by considering data from three branches of biological processes, cell components, and molecular functions. Multiple sets of experiments were performed. The data showed that the use of three branches to predict disease genes increased the accuracy from 78% to 91%, indicating that the disease genes not only aggregate on the branches of biological processes but also aggregate on molecular functions and cellular components.
Research on Single-Input Multiple-Output Converter for Rotorcraft Unmanned Aerial Vehicle
Authors: Gan Yifan , Xu Chunxiao
Published: January 2020

To satisfy the different voltage requirements of different power units in small rotorcraft unmanned aerial vehicle (UAV), we investigated two different single-input and multiple-output converters, three-output flyback converter and single inductor three-output Buck converter. The hardware components and operating principles of the two single-input and multiple-output converters were analyzed, and the control strategies of them were designed. Furthermore, operations of the two single-input multiple-output converters were simulated using Simulink in Matlab. We found that the three-output flyback converter can be used in the design of UAV when its components are settled and the voltage quality requirements are not strict. When the expansibility of component and high-stable voltage are required for the design of UAV, the single inductor three-output Buck converter should be used.
Analysis of Sound Field Transfer Loss in Inlet Pipeline of Industrial Gas Turbine
Authors: Yi Jiangang , Ju Siwei
Published: January 2020

Taking an industrial gas turbine intake pipeline as the research object, the acoustic field of the intake pipeline is simulated and analyzed by using acoustic finite element method, and the internal acoustic field and transmission loss of the intake pipeline are calculated. Through simulation analysis, it is found that the transmission loss curve of gas turbine intake pipeline fluctuates greatly, and the frequency bandwidth of the peak muffler is narrow. The conclusions obtained provide a theoretical basis for optimizing the structure of industrial gas turbine intake pipeline.
DOA Estimation for Unfolded Coprime Arrays: Successive-MUSIC Algorithm
Authors: Wu Chang , Ye Changbo
Published: January 2020

In this paper, we investigate the problem of direction of arrival (DOA) estimation of unfolded coprime arrays with successive-MUSIC algorithm which cascades multiple signal classification (MUSIC) algorithm and rotational invariance techniques (ESPRIT).We propose An algorithm with low computational complexity and high estimation accuracy, which first use ESPRIT algorithm for initial estimation, then according to the results of initial estimation narrow the search scope, finally, more accurate estimation results are obtained by MUSIC algorithm. Compared with the traditional MUSIC algorithm, this algorithm only needs to conduct a small range of angle search, which greatly reduces the algorithm complexity. Compared with the traditional ESPRIT algorithm, this algorithm also effectively improves the angle estimation performance of the algorithm. Moreover, comparing with traditional coprime linear arrays, the enhanced degrees of freedom (DOFs) can be achieved due to larger array aperture, Simulations are presented to validate the superiority of the proposed algorithm.
A Soft Decoding Algorithm with Hard Decision Boundary Factor for High-Order M-APSK Signal
Authors: Cai Yanshuang , Lv Tingting , Wang Kai , Wu Jianjun
Published: January 2020

High-order amplitude phase shift keying is adopted in the latest digital satellite broadcasting system, which presents new challenges to the design of a receiver demodulation scheme. This study focuses on the soft decision decoding algorithm. Traditionally, maximum likelihood soft decision based on log likelihood ratio estimation is often used as a decoding scheme. Accordingly, a soft decision algorithm based on hard decision boundary is designed and the corresponding soft decision estimation formula is derived. Numerical analytical results show that the proposed soft decision algorithm can improve the error performance of a system and substantially reduce the complexity of implementation.
Entrepreneurship Introductory Course Designed for Students Majoring in Network Engineering
Authors: Fang Fang , Luo Xing E
Published: January 2020

This introductory course is designed to build interest for students in the field of entrepreneurship. Entrepreneurship introductory courses for students majoring in network engineering can inspire students’ creativity. Innovative teaching methods link the professional knowledge of network engineering and project cases, enhance students’ entrepreneurial practice ability, and strive to solve the disconnection between teaching and practice. The course provides some guidelines, insights, and advice needed to launch successful information technical ventures, helps students majoring in the network engineering develop entrepreneurial thinking. It is suitable for students who are interested in owning their own information technology business. The course design contains classroom interactive activities to make the teaching process more active.
Simulation Research on Transmission Performance of UAV Data Link in Multipath Channel
Authors: Wu Xilei
Published: January 2020

Low elevation Angle is the common working environment of Unmanned Aerial Vehicle (UAV) data link. Naturally, data link transmission performance will be affected by White Gaussian Noise (WGN). Besides, multipath interference is more characteristic and usually more harmful. Taking Phase Shifting Keying (PSK) modulation system commonly used in data link as the object and typical UAV data link point-to-point configuration as the prototype, this paper analyzes the transmission principle of this system and the characteristics of multipath channel transmission, and then establishes the simulated transmission model of measurement and control communication link in multipath channel on this basis. Through simulation experiment, part of the simulation data and conclusions are given. According to the paper, increasing the link level redundancy design is not the fundamental measure to solve multipath fading. And the paper suggests that in order to improve the transmission performance of data link in multipath channel, it is feasible to add adaptive equalization technology at the level of signal processing.
Using Blockchain for Flow Measurement of 5G Base Station
Authors: Lu Li , Wu Donglin
Published: January 2020

5G is a hot area for its high speed data transmission by millimetre wave. Thus a huge amount of 5G base stations are required to be established, which brings heavy burden to 5G operators. In this paper, we propose a new flow measurement system based on blockchain to settle accounts for base stations belonging to different operators securely and fairly. For the base stations can verify the data flow for each other, only real data transmission can be recorded by blockchain. The proposed system can utilize existing consensus mechanism to make it stable and distributed. A concrete scheme is constructed and the scheme is proved to be secure. With this system, the base stations can be encouraged to be setup by different 5G operators and other companies to gain incentive by transmitting data service. This system can solve the problem of huge demand of base stations, and it’s secure, fair, and suitable for real deployment in practice.
Design and Implementation of EMC System Layout for Rail Trains
Authors: Song Gang , Wu Tong , Jiang Dafa , Mu Xiaotong , Huo Baichen , Song Jilei , Shang Baoying , Hu Liwen , Liu Kai
Published: January 2020

Nowadays, China’s urbanization process is rapid, and the rail transit system has become a good solution for the traffic congestion problem. The electromagnetic compatibility (EMC) of rail transit system is an important guarantee for the safe and reliable operation of rail trains. To this end, this paper proposes an EMC layout scheme for rail trains, and designs their electrical equipment layout and electrical wiring layout. In addition, according to the distribution of the train body equipment, the rail trains are divided into three parts, i.e. the roof, the interior and the bottom, and their associated EMC partition layouts are given. Finally, the layout scheme is tested by taking the Shanghai Metro Line 6 as a test rail train. The test results show that the proposed scheme can greatly improve the EMC performance of the rail trains and achieve the expected design goals.
Travel Route Prediction Using Travel Habits and Real-Time Traffic Condition
Authors: Mu Wanguo
Published: January 2020

The traffic problems of cities at home and abroad, especially major cities, have become focus issues. To solve this problem, traffic guidance is one of the most important solutions. For traffic guidance, precisely prediction of travel route of the users becomes one more and more urgent issue. To find out which factor affects the prediction mostly or to propose one efficient route prediction algorithm is attracting more researchers’ attentions. In this paper, we proposed one route prediction model to deal with the problem by considering both travel habits and real-time traffic condition. By embedding LSTM model, the proposed approach has the ability of predict sequence data to predict the travel route. Also the logistical model is introduced to embedding the real-time traffic condition data into the proposed model. Experiment results have evaluated the performance of the proposed approach.
Deepbot: A Deep Neural Network based approach for Detecting Twitter Bots
Authors: Luo Linhao , Zhang Xiaofeng , Yang Xiaofei , Yang Weihuang
Published: January 2020

Social networks have played a very critical role in very aspect of our daily life. However, a wide variety of bots have been found which are designed for some malicious purposes such as spreading spam mes- sages and faking news. Although various techniques have been proposed, this task is still challenging if we want to judge whether the tweets are posted by a bot or not merely based on the textual information. For this challenge, the Deepbot is designed which adopts the Bi-LSTM model to analyze tweets and a Web interface is provided for public access which is developed using Web service. From our empirical studies, this system can achieve better classification accuracy.
A Prediction Method of Node Attack Path based on Optimized-AG
Authors: Wang Kunfu , Feng Wei , Mao Wanfeng
Published: January 2020

An optimization algorithm for reducing the scale of attack graphs and an attack path prediction method are presented herein to cover the difficulty of predicting the attack path in traditional attack graphs. Firstly, a new distance cost attack graph model is generated and converted into a marked attack graph via the algorithm. Secondly, the original attack graph is optimized by introducing an attack distance weight value and a path redundancy coefficient in order to determine the possible attack paths and calculate the cost of path attack behavior. Finally, the preferred attack path is determined based on an evaluation function. According to the experimental results, the above scheme eliminated the path redundancy of attack graphs and achieved comprehensive prediction of attack paths.
Design of Embedded Medical Automatic Transfusion Supervision System
Authors: Wang Qiang , Wu Qiong , Zhao Long , Sun Hongfei , Wu Hejing , Wang Hui , Wang Qiang , Cao Yue
Published: January 2020

This paper puts forward a new type of automatic transfusion supervision system to solve the common problem that manual monitoring and manual replacement of medicine bottles take up more time and energy of family or nurses in the hospital, and devises the real-time monitoring and management function of the whole process of venous transfusion. The upper computer uses vb as the control interface, and the lower computer uses STM32 as the core controller, and the ZigBee self-networking technology is adopted to realize the long-distance wireless communication function. The controlled object is the stepping motor and transducer by using ZigBee Ad-Hoc Network technology to realize the function of remote wireless communication. Among them, in order to stabilize the process of replacing the bottle, the encoder is used to detect, and the PID control algorithm is designed. The experiment shows that this design can effectively reduce the flow of the infusion process, improve the working efficiency, so as to promote the digital development of the medical level in domestic.
Steganalysis of Intra Prediction Mode and Motion Vector-based Steganography by Noise Residual Convolutional Neural Network
Authors: Liu Peng , Li Songbin
Published: January 2020

In this paper, we present a universal steganalysis method for both intra prediction mode and motion vector-based steganography based on deep learning. Since the embedding process is eventually reflected in the modification of pixel values in decoded frames, we design a Noise Residual Convolutional Neural Network (NR-CNN) from the perspective of the spatial domain, which is the first CNN-based approach for this subject. In NR-CNN, feature extraction and classification modules are integrated into a unified and trainable network framework. It automatically learns features and implements classification in a data-driven manner, which effectively solves the existing problems. Experimental results show that NR-CNN has better performance of steganalysis than the related method.
Generating Test Data for Path Coverage Based on Genetic Algorithm
Authors: Fan Shuping , Ma Baoying , Yao Nianmin , Zhang Yan , Xia Chunyan , Zhang Dan
Published: January 2020

Test data generation is an important part of software testing. The imbalance of data crossing program branches is often ignored in generating test data. As a result, there is much data crossing some branches while little data crossing other branches. To solve the phenomenon so as to generate test data effectively, we introduce branch balance and program balance in the evolutionary generation of test data. First, the number of individuals crossing the true and false branch of each branch node on the target path are computed. Then, the calculation methods of branch balance and program balance are given. Finally, the fitness value function which considers the change of program balance before and after an individual joining is presented. And an individual that can improve the balance will be retained in the evolution process. Experiments show that our method is better than the other method in running time and success rate.
The Application and Discussion of Virtual Simulation Platform in the Teaching of Ship Handling and Collision Avoidance Course
Authors: Chen Jie , Liang Mincang , Liu Hu
Published: January 2020

With the development of the computer, virtual reality technology and “Internet+” concept, the virtual training system was used by all walks of life to carry out pre-job training, virtual simulation teaching has become an inevitable trend of the education industry. Through the analysis of the drawbacks of professional course on ship handling and collision avoidance, combining the advantages of virtual reality technology “Internet+” practical application in simulation implementation, the application superiority and significance of the application in the ship maneuvering collision course teaching is to be given in order to promote the development of virtual simulation teaching.
Population subdivision and hybridization in a species complex of Gentiana in the Qinghai-Tibetan Plateau
Authors: Fu Peng-Cheng , Sun Shan-Shan , Khan Gulzar , Dong Xiao-Xia , Tan Jin-Zhou , Favre Adrien , Zhang Fa-Qi , Chen Shi-Long
Published: January 2020

Background and Aims

Hosting several global biodiversity hotspots, the region of the Qinghai-Tibetan Plateau (QTP) is exceptionally species-rich and harbours a remarkable level of endemism. Yet, despite a growing number of studies, factors fostering divergence, speciation and ultimately diversity remain poorly understood for QTP alpine plants. This is particularly the case for the role of hybridization. Here, we explored the evolutionary history of three closely related Gentiana endemic species, and tested whether our results supported the mountain geo-biodiversity hypothesis (MGH).

Methods

We genotyped 69 populations across the QTP with one chloroplast marker and 12 nuclear microsatellite loci. We performed phylogeographical analysis, Bayesian clustering, approximate Bayesian computation and principal components analysis to explore their genetic relationship and evolutionary history. In addition, we modelled their distribution under different climates.

Key Results

Each species was composed of two geographically distinct clades, corresponding to the south-eastern and north-western parts of their distribution. Thus Gentiana veitchiorum and G. lawrencei var. farreri, which diverged recently, appear to have shared at least refugia in the past, from which their range expanded later on. Indeed, climatic niche modelling showed that both species went through continuous expansion from the Last Interglacial Maximum to the present day. Moreover, we have evidence of hybridization in the northwest clade of G. lawrencei var. farreri, which probably occurred in the refugium located on the plateau platform. Furthermore, phylogenetic and population genetic analyses suggested that G. dolichocalyx should be a geographically limited distinct species with low genetic differentiation from G. lawrencei var. farreri.

Conclusions

Climatic fluctuations in the region of the QTP have played an important role in shaping the current genetic structure of G. lawrencei var. farreri and G. veitchiorum. We argue that a species pump effect did occur prior to the Last Interglacial Maximum, thus lending support to the MGH. However, our results do depart from expectations as suggested in the MGH for more recent distribution range and hybridization dynamics.
New Automatic Search Method for Truncated-Differential Characteristics Application to Midori, SKINNY and CRAFT
Authors: Ebrahimi Moghaddam AmirHossein , Ahmadian Zahra
Published: January 2020

In this paper, using Mixed-Integer Linear Programming, a new automatic search tool for truncated differential characteristic is presented. Our method models the problem of finding a maximal probability truncated differential characteristic, being able to distinguish the cipher from a pseudo-random permutation. Using this method, we analyze Midori64, SKINNY64/X and CRAFT block ciphers, for all of which the existing results are improved. In all cases, the truncated differential characteristic is much more efficient than the (upper bound of) bit-wise differential characteristic proven by the designers, for any number of rounds. More specifically, the highest possible rounds, for which an efficient differential characteristic can exist for Midori64, SKINNY64/X and CRAFT are 6, 7 and 10 rounds, respectively, for which differential characteristics with maximum probabilities of $2^{-60}$, $2^{-52}$ and $2^{-62.61}$ (may) exist. Using our new method, we introduce new truncated differential characteristics for these ciphers with respective probabilities $2^{-54}$, $2^{-4}$ and $2^{-24}$ at the same number of rounds. Moreover, the longest truncated differential characteristics found for SKINNY64/X and CRAFT have 10 and 12 rounds, respectively. This method can be used as a new tool for differential analysis of SPN block ciphers.
“I Know I Can’t Change the Future, But I Can Change the Past”: Toni Morrison, Robin Coste Lewis, and the Classical Tradition
Authors: McGowan Grace
Published: January 2020

“A central figure in transnational intellectual history” (Roynon, 2013), Toni Morrison’s oeuvre has helped deconstruct the triangulated relationship between a European Graeco-Roman classical tradition, Africa, and America. Morrison’s deconstruction of the classical past and its aesthetics have laid the foundation for the reconstructive work of a new generation of writers, including Robin Coste Lewis. Both writers renegotiate and reclaim a classical aesthetic by recovering its African roots and situating it in an African American context. In addition, the article (1) examines the role of a classical aesthetic in beauty discourse and Robin Coste Lewis’s re-vision of the black female body and (2) addresses what this means for canonicity, linking Lewis’s ambivalence about reclaiming a classical aesthetic to Morrison’s ambivalence in “Unspeakable Things Unspoken” (1987).
Evasive balancing: India's unviable Indo-Pacific strategy
Authors: Rajagopalan Rajesh
Published: January 2020

India has adopted the Indo-Pacific concept with uncharacteristic speed. This article examines India's Indo-Pacific strategy, which evolved out of its earlier ‘Look East’ and ‘Act East’ policies but is much more focused on strategic concerns than on trade or connectivity. As such, the strategy is subset of its China policy, and includes contradictory elements of balancing China by building partnerships with the United States as well as with regional powers, while simultaneously pursuing a reassurance strategy to convince Beijing that India is not really balancing China. The combination of these contradictory elements is characterized as evasive balancing, which is a more useful concept than either pure balancing or hedging for understanding the policies of India and of many other countries in the region that are trying to manage China's rise. However, reassurance strategies rarely work and the combination of balancing and reassurance is even less likely to be viable.