bluuebunny/crossref_metadata_2025 huggingface dataset:
Drawing and inspection of the axial projection view of the centrifugal pump impeller
Authors: Feng Ke , Song Piwei , Chen Yang , Liu Hongli , Li Xuelai , jun Liu , Lidan
Published: November 2019

Artificial scaffolds play an important role in tissue engineering, which used to mimic extracellular matrix (ECM) to provide a suitable microenvironment for cell growth. Many natural and synthetic biomaterials have been used to fabricate two dimension or three dimension scaffolds. However, missing electrical conductivity of these materials is one of the disadvantages. Recently, conductive polymers (CPs) and conductive nanomaterials (CNMs) have been chosen for doping into scaffolds to improve their conductivity. This review focuses on conductive scaffolds design, fabrication and application in tissue engineering for enhancing cell attachment and proliferation, promoting differentiation and maturation with and without electrical stimulations.
Analysis of interior ballistic performance degradation of a worn gun barrel based on finite element method
Authors: Li Xiaolong , Wang Yuan , Zang Yong , Guan Ben , Qin Qin
Published: November 2019

A comprehensive accelerated life test of a 12.7mm caliber barrel gun barrel was carried out to study the variation in interior ballistic performance during the lifespan of a large- caliber machine gun. The wear mechanism at different positions in the bore was analyzed, and the wear data for the bore was obtained from the test. On this basis, a three-dimensional barrel- wear finite element model was established using the parametric model-ing method. The variation law of interior ballistic performance and the influence of wear location on ballistic performance were studied. The results showed that, after shooting 4300 rounds, the radial swing of the projectile head at the muzzle reached 0.35 mm and the projectile rotational speed decreased by 57.5% compared with the unworn performance. In addition, the wear on the initial position of the rifling not only caused the swing of pro-jectile in the barrel, but also aggravated the wear of other parts of the inner wall. The wear at the muzzle had a more obvious effect on the rotational speed of the projectile. Finally, it was concluded that the fundamental reason for interior ballistic performance degradation was wear on the initial position of the rifling.
An improved saliency detection method based on hypercomplex Fourier transform
Authors: Pan Yongcai , Zhang Yuwei , Liu Qingzheng
Published: November 2019

Saliency detection is a challenging direction in the field of computer vision. It can help us quickly obtain important information of image and video, and plays an important role in image compression, image segmentation, target recognition and other applications. Based on the Hypercomplex Fourier Transform (HFT) model, median filter and threshold segmentation are employed to obtain the image salient region, which solves the problem that the boundary is not clear and multiple targets cannot be separated, and achieves more accurate and stable detection effect.
Influence of Torque Load on Internal Load Distribution of Tapered Roller Bearings
Authors: Dong J J , Cao P Y , Wang J W
Published: November 2019

The effect of simultaneous application of external torque load on the internal load distribution of tapered rolling bearings under axial and radial loads is studied. The radial deformation and axial deformation of the bearing under the torque load are studied, and the mathematical model of force balance of tapered roller bearing is established. Then the Newton-Raphson method is used to solve the established mathematical model, and the load distribution of the bearing under the two-direction and three-direction loads is obtained respectively. The influence of the torque load on the internal load distribution of the bearing is obtained by the global and local comparison analysis.
Content-Based Personalized Dating Recommendation System
Authors: Hu Yujiao , Gui Xiaolin , Hu Xinyue , Zeng Cong , Wu Youqi
Published: November 2019

In order to improve the accuracy of recommendation on dating websites, a personalized recommendation algorithm aiming at dating objects is put forward. The algorithm firstly extracts the user’s personal characteristic information and defines quantification criteria to quantify the characteristics. Then, the characteristics will be weighted according to the users’ different degree of emphasis on the eigenvalue and similarity between users will be calculated with Euclidean distance. Finally, possible candidates will be recommended according to similarity. The rationality of the algorithm is verified by some experiments.
Short-term wind speed prediction based on EEMD-LSTM
Authors: Huang Yuansheng , Zhang Xiangrong , Yang Lei
Published: November 2019

Accurate wind speed prediction is of great significance for the smooth output of wind farms. To this end, this paper proposes a short-term wind speed prediction model based on the combination of ensemble empirical mode decomposition (EEMD) and long-term and short-term memory model (LSTM). Firstly, in order to reduce the nonlinearity and volatility of wind speed, the ensemble empirical mode decomposition technique is used to decompose the original wind speed time series into a plurality of different sub-sequences; then LSTM is used to predict each sub-sequence to obtain multiple prediction results. Finally, the prediction results of each LSTM model are superimposed to obtain the final wind speed prediction result of the combined model. The prediction model is verified by historical wind speed data of a wind farm in Hebei Province, and compared with ARIMA, GRNN and LSTM models. The simulation results show that the combined wind speed prediction model based on ensemble empirical mode decomposition and long-term and short-term memory model proposed in this paper has a higher prediction accuracy.
Modeling and simulation of aircraft integrated thermal management system
Authors: Binbin Lu , Honghu JI , Mei TANG , Guofeng Wang
Published: November 2019

The integrated thermal management system for a certain type of aircraft was studied. The integrated thermal management system, which takes fuel oil as the main heat sink, thermal protection structure and liquid evaporator as auxiliary heat sink, can comprehensively control and manage the heat of the whole aircraft. The mathematical model for simulation of integrated thermal management system was established. The simulation model of the system was built based on Flowmaster software for calculation. Results show that the system proposed in this paper can meet the overall thermal requirements of the aircraft, and provide a reference for the design of the aircraft integrated thermal management system and its subsystems.
Research on Bearing Fault Monitoring Technology Based on the Acoustic Array in Working Environment
Authors: Lei Wu , Liming Fan , Xiaoran Shi
Published: November 2019

At present the most widely used method in mechanical fault diagnosis is feature extraction based on vibration signal analysis, but the test results are not accurate. Fault diagnosis method based on acoustic measurement can overcome this shortcoming, although traditional acoustic measurement based on single channel is susceptible to interference and it is difficult to obtain effective signals under strong background noise or complex testing environment. Directional noise measurement technology based on acoustic array and beamforming method can effectively suppress background noise. In this paper, the 3D constant beam width beam forming array is used to extract the broadband radiated noise from the monitored equipment and the sensitive frequency bands corresponding to different fault stages of bearings are preprocessed to obtain the corresponding eigenvectors. BP Neural Network is used to identify the fault of the tested bearings. The results show that the 3D microphone array based on constant beam width beam forming can effectively suppress the interference of environmental noise to ensure the validity of monitoring data and improve the reliability of fault diagnosis.
Economic Life Prediction of Transformer Based on Repairing Profit and Decommissioning Profit
Authors: Hu Bin , Chen Qipeng , Rao Wei , Qiao Junfeng
Published: November 2019

Transformer lifecycle management is an important research field that power grid enterprises pay great focus on. The economic life prediction of transformer can provide a basis for transformer equipment management and power grid planning, contribute to prolong the service time of transformer and improve the operation safety and economy of power grid. This paper proposes an economic life prediction model of transformer by analysing various economic factors of transformer and taking the maximum annual average net profit of transformer as the judging criterion, and achieves the economic life quantitative prediction of transformer by comparing the annual average net profit of repairing a transformer and the annual average net profit of decommissioning a transformer. Finally, a case study on the economic life prediction of transformer by selecting an 110kV transformer in service as an example is carried out according to the proposed model, and the results show that the proposed model can not only effectively analyse the economic factors of the transformer, but also reasonably predict the economic life of the transformer, which has a guiding significance for the decision-making of transformer management and the future planning of substation.
Simulation Analysis and Test of the Thread Joint of High Strength Directional Drill Pipe with Large Through Hole
Authors: Dayong Tang , Yu Zhang , Wannian Lei
Published: November 2019

According to the requirements of the directional drilling, the Φ89*3000 type directional drill pipe with high strength and large through hole is designed. The pre-tightening force and axial force acting on the threaded joint of the drill pipe are analysed theoretically, and the finite element analysis model of the screw thread joint is established. According to the three working conditions of directional drill pipe, the stress conditions of threaded joints under different working conditions are simulated respectively. Based on the simulation results, the optimization measures of threaded joints are put forward, the design of threaded joint structure is improved, and the structure type and parameters of threaded joint are adjusted. Finally, the performance test and industrial test of high-strength directional drill pipe with large hole are carried out to verify the rationality of the improved design of drill pipe. The new directional drilling technology of “replacing tunnel with hole” is put forward innovatively, which promotes the popularization and application of directional drilling technology in coal mine gas control and contributes to coal mine gas control.
Study on heavy-duty journal bearing lubrication based on Elasto-hydrodynamic lubrication method
Authors: Li Wen , Liu Jintao , Chen Lei , Liu Zhenxing , Zhuang Baotang
Published: November 2019

Main bearing wear failure to become one of the main factors affecting the service-life of the engine, so it is necessary to form the effective analysis of the main bearing lubrication method, which is used in the design of main bearing lubrication and friction. In this paper, the model of substructure of V8 diesel engine is built based on flexible multi-body dynamics, the various nonlinear factors in the process of engine working process are considered, and the EHD of main bearings is analysed by the EXCITE software. On the basis of the V8 engine model, the bearing load and lubrication performances of different poly- condensation of main bearing are compared. The main bearing lubrication properties of the analysis results can be used for the engine lubrication system design and optimization.
Research on Crack Propagation Law of Assembly Concrete Structure in Hydraulic Engineering Based on Large Data Analysis
Authors: Chen Renshan , Zhang Wei , Zhao Liandi , Wang Kebo , Nan Feng
Published: November 2019

In order to grasp the law of crack propagation in concrete structure, the research on the law of crack propagation in assembly concrete structure of hydraulic engineering based on large data analysis is put forward. The mechanical parameters in the process of concrete structure fracture are obtained by digital image measurement method, and the loss difference is calculated. According to the calculation results, the fracture orientation change is judged, and the law of concrete fracture orientation change is concluded, thus the law of crack propagation in assembled concrete structure is deduced. At last, the experiment proves that the research on crack propagation law of assembly concrete structure in hydraulic engineering based on large data analysis has high accuracy and practicability, and fully meets the research requirements.
A Method of Constructing Mobile Ground Station Location System Based on Optimizing Algorithms
Authors: Gao Saisai , Tao Zhu , Huang Ying
Published: November 2019

Aiming at the problem that the satellite navigation and positioning system can not cover the whole area and that the positioning accuracy of the existing ground-based reinforcement system decreases with the increase of the distance between the target and the ground station, a method for optimizing the positioning system of mobile ground station based on whale optimization algorithm is proposed. Based on the mobile ground station, the method identifies the positioning target with the optimal whale individual and the mobile ground station with other whale individuals, realizes that the position of the ground station varies with the position of the target point, and ensures the high precision positioning of the target in area with weak signals or without satellite navigation and without the support of the enhanced system. The feasibility of this method is proved by MATLAB, which provides a new way of thinking for solving the problem of regional target location.
Research on Agricultural Big Data Analysis System Based on Hadoop
Authors: Wang Lihong , Liu Ping
Published: November 2019

In order to improve intelligent agricultural management, control and decision-making, in view of the practical needs of agricultural big data application, it is necessary to collect and process large amounts of agricultural data. In order to deal with these massive agricultural data, based on Hadoop large data analysis tool, a large agricultural data analysis and processing system is designed and implemented. Through its powerful distributed data processing capability, various agricultural related data can be analyzed efficiently and quickly. Experiments show that the system can effectively complete large-scale data processing and analysis of agriculture, mining useful information from massive data, so as to store and analyze agricultural data reliably and efficiently. The large-scale data system has important practical significance for improving the level of intelligent agriculture development.
Design of Energy Refinement Management System for Agricultural Machinery Painting Based on Internet of Things
Authors: Ma Guoqi , Zhang Guiqing , Li Qingfeng , Tian Chenlu , Wang Peiyi
Published: November 2019

At present, because of extensive energy management methods and manual meter reading collection methods, the domestic agricultural machinery manufacturing industry has caused serious energy waste in agricultural machinery production line, which can not meet the energy management needs of modern agricultural machinery enterprises. In view of the above problems, after thorough analysis of agricultural machinery production process and its demand for energy management, this paper takes full advantage of the characteristics of low cost and comprehensive perception of the Internet of Things, puts forward an energy refinement management system of painting workshop based on the Internet of Things, and achieves energy consumption tracking of production workpieces and energy refinement management of workshop. BP neural network is used to predict energy consumption and diagnose energy saving in workshop. Finally, the test application in the demonstration project shows that the system can real-time and accurate monitor the abnormal situation of energy consumption and energy consumption in the workshop, and realize the fine management of energy in the agricultural machinery painting production line, thus saving production energy and improving enterprise efficiency.
Application of Multimedia Technology in Business English Interactive Teaching
Authors: Xing Yichen
Published: November 2019

The application of multimedia technology is a comprehensive and creative application of traditional teaching forms. In particular, multimedia courseware has the advantages of integration of display, selection of hypertext links, operation of human-computer interaction, richness of large-capacity storage, and convenience of high-speed transmission and so on. It can realize the unified combination of classroom teaching integrity, science, art and technology. Higher education has always emphasized the student-centered, teacher-led teaching model, and flexible use of multimedia in business English teaching has achieved remarkable teaching results. This paper expounds the current situation and problems of the application of multimedia technology in business English teaching, and puts forward some innovative application methods of multimedia in business English teaching.
Research on optimal selection of services and optimal allocation of resources in cloud manufacturing environment
Authors: Cai Xianxian , Yuan Minghai , Zhou Zhuo , Sun Chao
Published: November 2019

As a new manufacturing mode in recent years, cloud manufacturing has provided a new method for manufacturing industry from low efficiency to efficient utilization of resources, based on the concept of “manufacturing as a service”. Cloud manufacturing is the product of the integration of high-tech, as information technology, Internet of things and big data. To promote global manufacturing to a healthy, green direction, cloud manufacturing technology converges massive service resources, centralizes utilization, reasonably allocates, and realizes high-level utilization and real-time sharing of manufacturing resources. However, due to the large number, wide scope and complexity of cloud manufacturing resources, and the uncertainty and diversity of cloud manufacturing users, how to achieve optimal deployment of cloud manufacturing resources, it is an urgent problem to meet the different individual needs of users and to improve the efficient sharing of manufacturing resources. Therefore, this paper studies cloud manufacturing service optimization, cloud manufacturing service comprehensive evaluation system and resource optimal allocation, and uses the relevant software tools to design the system function modules and establish a cloud manufacturing service platform system.
Analysis and Prediction of Satisfaction Index of Online Learning
Authors: Wang Jian , Chai Yanmei , Zhang Wei , Zhang Yuanyuan
Published: November 2019

In the process of learning with the help of online platform, students’ learning satisfaction is an important factor that constitutes the effect of online teaching. On the basis of the existing research, this study proposes three factors, namely, cognitive level, technological environment and social environment, to constitute online learning satisfaction. At the same time, through statistical analysis, the key factors affecting learning satisfaction are sorted out, the selection model of identifying the key factors affecting learning satisfaction is established, and online learning satisfaction is fitted by prediction. The study shows that self-efficacy evaluation, teaching support evaluation, platform use evaluation and student-teacher interaction evaluation have a great impact on students’ learning satisfaction in the process of online learning. At the same time, the 93% prediction accuracy of the prediction model based on the above-mentioned research can be achieved. In addition, this paper also puts forward suggestions on how to strengthen and improve learning satisfaction.
An Embedded Visualization Method through Temporal Bibliographic Analysis
Authors: Wang Yan , Sun Mingyu , Hu Ning , Liu Sentao , Si Juncheng
Published: November 2019

Visual analytics play an important role in understanding complex datasets, e.g. the bibliographic data set. Word clouds, which use a compact visual description of words, have been leveraged widely to provide the content overview of a set of documents, especially the hot topic trends. In this paper, we proposed a visualization method that embedding the temporal patterns along the word to visually illustrate the hot topic evolution.
An Extended PEGASIS Protocol Based on Group Authentication with Merkle Tree in WSNs
Authors: Fang Wangsheng , Wang Xiangyu , Xu Haomin
Published: November 2019

With the constant improvement of Wireless Sensor Network, its application scenarios become more diverse. Due to the limited resources of sensor nodes, there are many researches devoted to the optimization of network structure and the prolongation of network life. The proposed extended protocol is based on the chain-based routing technique of PEGASIS. In a newly deployed network, intra-group trust is formed through the Group Authentication based on Merkle Tree, which can protect the node information and resist the deception of false message. In the steady phase, the whole network re-chain is replaced by re-chain within the group when any node dies. Simulation results show that the scheme proposed in this paper has obvious improvement in terms of residual energy and network life compared with PEGASIS.
Design of Campus Bicycle Rental Management System Based on SSM Framework
Authors: Ping Wanxin , Chen Yuankun , Hou Xiaoyan
Published: November 2019

In view of the chaotic management of bicycle rental in colleges and the high waste rate of resources, the purpose of this paper is designing a bicycle rental management system to make it easier and more efficient for students and leasing businesses to complete bicycle rental. According to the elaboration of the system framework, the design and implementation process of the database, the design concept and use principles of the system are introduced in detail.
A Memory Acquisition Method for Android Application Forensics
Authors: Liu Bin , Chang Ying-xian , Cong Lian-ri , Wu Xia , Deng Hua , Li Yang-chun , Xu Bo-wen
Published: November 2019

With the rapid development of social economy, the number of Android mobile devices has increased rapidly in recent years. At present, digital forensics experts mainly extract digital evidence from non-volatile physical memory and file system of mobile devices. However, non-volatile storage based method has little effect for some high secure Apps forensics, such as the encrypted data or deleted information, e.g. the private conversation records or payment records, in chat Apps or payment Apps. Accordingly, data residential in memory is an important source of evidence. On the other hand, relying solely on digital evidence in non-volatile storage is incomplete and unreliable as well. So, the demand for memory forensic on the Android platform has increased. In this paper, based on ptrace a scheme for Android memory extraction at the process level is proposed. For this scheme, a complete memory mirror of a specific process can be achieved, including memory space shared anonymously by the process and other processes, the memory space of the process, and the memory space of each thread in process. This method is of great importance to high secure Apps forensics, such as Chat Apps or Bitcoin Payment Apps.
Emotion recognition method of Tibetan micro-blog text based on sentiment dictionary
Authors: Sun Benwang , Tian Fang , Jia Mengmeng
Published: November 2019

With the development of network technology, social media represented by micro-blog has become an important platform for personal emotional expression. Automatic analysis of micro-blog texts and identification of their emotions is important for understanding people’s emotions. In this paper, the emotion of Tibetan micro-blog text is analyzed automatically for the first time, the emotion in text expression is recognized, the analysis method based on Tibetan sentiment dictionary and rules is put forward, and the language characteristics of emotion expression in Tibetan micro-blog are discussed. The experimental results show that the accuracy of emotion recognition based on Tibetan sentiment dictionary reaches 78.6%, which provides a basis for establishing a high-precision Tibetan textual sentiment classification system.
Attention Mechanism in Machine Translation
Authors: Jia Yuening
Published: November 2019

Machine translation is an important field in machine learning. In recent years, the way to improve the effect of machine translation through attention mechanism has been well introduced and developed, and has become an important research part in machine translation. However, how to use the attention mechanism to ensure the translation speed and accuracy at the same time has also become an important problem for researchers to solve. In this article, we will introduce the development process of attention mechanism in the field of machine translation, and introduce in detail the algorithm changes of four papers on the development of Attention in Machine translation. Through the analysis of their experimental data, the development level of attention mechanism in the field of machine translation is shown.
Text security segmentation algorithm based on key distribution
Authors: Zhang Quan , Ju Xiaoming , Qi Haojin , Wang Yong
Published: November 2019

The vector space projection theory of key decomposition problem is proposed. The key decomposition algorithm is given, and the theory and algorithm are introduced into the research of text segmentation problem. A text security recovery for practical secrecy is given. The algorithm is compared with the traditional text segmentation algorithm. It realizes that the text is first divided into N paragraphs, and then the paragraph is mapped to n sub-texts by using the principle of grouping key. If any m sub-texts are owned, the original text can be restored, which provides security for the storage and transmission of important texts.
Research on Fast Image Style Transformation Based on Residual Network
Authors: Xue Nan , Duan Jin , Zhang Bing , Wang Xiaoyu , Yu Lintao
Published: November 2019

Image style migration technology refers to the conversion of an image into a similar image to a famous painting style through learning (using a convolutional neural network). The A Neural Algorithm of Artistic Style (NAAS) proposed by Gatys uses the VGG network to design a loss network, and the style migration image is obtained through repeated iterations, and the calculation speed is slow. Li Feifei introduced the residual network on the basis of Gatys, and accelerated the calculation by using the fast connection feature of the residual element. This method has a great improvement in the generation speed but still has room for improvement. This paper proposes improvements for the following two aspects: firstly, the classical residual element structure is adjusted, and the standard convolution is converted into point convolution and deep convolution, which reduces the calculation amount while ensuring the convolution effect; secondly, the loss network is simplified. The fourth and fifth layers in the model are highly consistent in structure, and the style restoration of the two layers is basically the same as the content reconstruction effect. Therefore, the fifth layer is deleted, the redundant parameters are removed, and the parameter amount is reduced. At the same time, the effect of style restoration and content reconstruction is guaranteed.
Sparse MIMO planar array two-dimensional imaging based on IF-MMV-SBL algorithm
Authors: Chen Qiao , Tong Ningning , Li Xiaohua , Hu Xiaowei , Dong Yibei
Published: November 2019

MIMO sparse array can achieve two-dimensional imaging of the target based on sparse recovery algorithm, but traditional 1D-CS algorithm will lead to the problem of cell migration, which will affect the imaging quality and it’s operation time is long. In order to solve the problem, the joint sparsity of signal received by MIMO is utilized and the IF-MMV sparse bayesian learning algorithm is introduced to reconstruct the signal in fractal dimension, which can inhibit the migration of cell causing by traditional 1D-CS algorithm. By the inverse free processing, the inverse operation of matrix is transformed into the inverse of diagonal matrix, and the inverse can be obtained quickly. Simulation results show that the proposed method has good applicability under different array sparsity and SNR. We get the high resolution image of the target, and cost less operation time.
Risk Screening of Tax Compliance of Manufacturing Listed Companies Based on Association Rules
Authors: Ying Qu , Lanlan Gao , Xiaoxin Han
Published: November 2019

With the increasing variety of taxes and corresponding tax laws and regulations, the complexity of tax collection and management is increasing, and listed manufacturing companies are one of the important sources of tax revenue in China. Therefore, it is of great significance to construct a scientific and effective tax risk identification and assessment system. In order to improve tax compliance under the premise of complex tax work, this paper proposes a method of tax compliance risk screening for listed manufacturing companies based on association rules. The financial index data of listed manufacturing companies that are crawled are processed, and the Apriori association rule analysis is used to realize the analysis and mining that have an impact on corporate tax compliance. By dividing the tax compliance risk levels of enterprises, it is concluded that the common characteristics of enterprises with low tax compliance are weak profitability, poor debt paying ability, and a large number of overdue repayment.
Research on An Ensemble Anomaly Detection Algorithm
Authors: Wang Yupeng , Zhu Shibing , Li Changqing
Published: November 2019

Aiming at the problem that the applicability of single anomaly detection algorithm is not strong in aerospace experiment, an ensemble anomaly detection algorithm is proposed. This algorithm combines multiple machine algorithms and can obtain better detection performance than any other algorithm. Through comparison, k-NN, PCA and HBOS are selected. These three algorithms have fast calculation speed and different algorithm mechanisms, which can effectively process various data sets. This paper first introduces the basic concept of anomaly detection, then introduces and explains the three algorithms, then integrates the three algorithms, and introduces the voting mechanism to vote on whether the sample points are normal. Finally, the performance of the algorithm is tested through simulation experiments. Compared with a single algorithm, the ensemble algorithm has better performance in precision and accuracy.
The Database and Functional Structure Design of the Breeder Pigeon `s MIS for Optimization in Selecting and Matching Based on RFID Technology
Authors: Chen Siyu , Wu Xiumin
Published: November 2019

In order to improve the production and breeding efficiency of pigeon breeding farms, and at the same time to ensure the quality of pigeons, pigeon breeding farms should be managed scientifically. In the process of breeding, breeder pigeon optimization has become an important part of pigeon breeding production, which directly affects the quantity and quality of offspring pigeons. At the same time, this is also a pigeon management of the most important information subsystem. This paper hopes to develop a set of modern information management system for the optimal breeding of breeder pigeons, and build the breeder pigeon breeding management information system by combining the special RFID tags for breeder pigeons, computer network and database technology, so as to realize the effective traceability and sharing of all aspects of data of breeder pigeons. It is expected to establish corresponding mobile terminal software to realize data access and query anytime and anywhere, which can make the information management method of pigeon breeding yard more scientific and standardized, so as to achieve better economic and social benefits. Its technical achievements can also be applied to poultry farms and other breeding enterprises.
A Time-Context-Dependent Resource Diffusion Algorithm Based on User Splitting
Authors: Fan Hao , Yu Xiao-yan , Shu De-qin , Cao Hongbin
Published: November 2019

Personalized recommendation for smartphone applications is studied, and a time-context-dependent resource diffusion algorithm based on user splitting is proposed. The algorithm introduces time context information. According to this idea, the algorithm can make full use of user preference data information, cluster mobile applications to get more user preference categories and optimize recommendation results. In the personalized recommendation process of mobile applications, because users and projects are dynamic changes, this paper analyses the dynamic change process of the algorithm in detail, and enhances the applicability of the algorithm. Experimental results show that the proposed algorithm improves the accuracy of recommendation results compared with the previous resource diffusion algorithm.
A Comparative Analysis of the Application of Hashing Encryption Algorithms for MD5, SHA-1, and SHA-512
Authors: Long Sihan
Published: November 2019

This study compares different hashing encryption algorithms and provides several suggestions about how to choose different hashing encryption algorithms for particular cases. This paper presents three different kinds of hashing encryption algorithms. The author introduces the fundamental conceptions of these algorithms and their application. The author also computes some significant factors in computer science and compares these algorithms by mathematical quantity computing data. This article discusses the advantages and disadvantages of hashing encryption algorithms and proposes its potential value in the future.
Research on Latency Problems and Solutions in Cloud Game
Authors: Sun Hanlin
Published: November 2019

In recent years, the concept of cloud game remains a hot spot in both academic and game industry, proved by a large number of related research papers and the emergence of various cloud gaming platforms. Cloud game has competitive advantages over other traditional games. However, cloud games are more susceptible to latency than traditional online games because the data of cloud games are processed in remote servers. This paper shows the researches and progress in cloud gaming, analyzes the main aspects that may influence cloud gaming latency and proposes feasible methods to improve these problems.
Research on Water Quality Monitoring Technology of Industrial Park Based on Internet of Things and Cloud Computing
Authors: Shi Wei , Wang Yang , Tang Hui , Liu Haishan , Tang Dunbing
Published: November 2019

Aiming at the problems of high cost, slow response and unstable data in industrial wastewater quality monitoring in industrial parks, this paper proposes a water quality monitoring system for industrial parks based on Internet of Things and cloud computing technology by studying data acquisition technology of water quality sensors, wireless networking technology of water quality acquisition equipment, connection technology between equipment and cloud computing platform, and end of data model interface. The monitoring technology is also applied in the water quality monitoring system of an industrial park in Hebei Province, China. The data response is timely and the pollution alarm is accurate, which improves the level of water pollution control.
The effect of open-air curing on compressive strength of geopolymer mortar containing laterite soil and slaked lime
Authors: Sayfullah S M , Suherman L O A , Salam S , Mursanto D , Idwan  , Efendi A , Bahar S B , Farisatma  , Kanna T
Published: November 2019

Most surface layers in the Papua and Kalimantan regions are Laterite Land. When dry lateritic soil dries but when containing large amounts of water, laterite soil becomes overtime. Cement production requires a lot of energy so that geopolymer concrete and mortar is a material that has great potential as an alternative to reduce the use of Portland cement because it has mechanical properties that almost resemble Portland cement-based concrete. This study discusses the use of fly ash and alkali activator (NaOH and Na2SiO3) to bind laterite soil by adding quenched lime to reduce the use of ovens to form geopolymer mortar. Comparison of laterite and lime outages is used, namely 95%: 5% and 90%: 10%. Testing of the flow of fresh geopolymer mortar shows that all materials can be bonded well and no segregation occurs. The hardened test material is treated in air-exposed for 3, 7 and 28 days. Testing of compressive strength was analyzed to determine the behavior of geopolymer mortar. The test results showed that there was an increase in compressive strength from the age of 3 to 7 days but decreased at the age of 28 days due to rainy weather, sunlight which resulted in the specimen experiencing flowers (during rain) and shrinkage (during hot weather) so that cracks occurred cracks in specimens, as well as the use of comparison of laterite and lime soils, extinguished 90%: 10% resulting in better compressive strength compared to the use of the ratio of laterite and lime outages of 95%: 5%.
The role of schools in building student awareness of environment through adiwiyata program
Authors: Ali A M , Akbar A , Kamarudin  , Manan  , Safiuddin  , Noer E
Published: November 2019

This research was conducted in the Southeast Sulawesi region which was based on the importance of ecoliteration for elementary school-age children. The effort made by the government to raise awareness of ecoliteration is the Adiwiyata program. The purpose of this study was to determine the role of Adiwiyata in building environmental awareness in the Southeast Sulawesi region. The method used is a survey by taking a sample of 13 elementary schools. Data analysis used is a descriptive analysis of the four components of observation. The results of the study showed two schools from 14 elementary schools that implemented the Adiwiyata program as a whole. School as better applies the four components of Adiwiyata, the better the students in realizing the importance of protecting the environment.
Economic value analysis of the use of springs for household consumption needs
Authors: Abdullah R , Mahmuda D , Malik E , Pratiwi E T , Azaluddin  , Dja’wa A , Abdullah L O D , Jusni  , Betaubun K
Published: November 2019

Water is a natural resource that is very important for human survival. Not only does it provide biological benefits, but water also affects social, economic, cultural, political and national security aspects. The excessive use of water resources management that is not wise can threaten the sustainability of water sources. This study aims to estimate the economic value of the use of springs in Popalia Village, Wakatobi, Indonesia. Types of data are primary data obtained from the water user community, and secondary data obtained from the Popalia Village office. The method used is the Willingness To Pay (WTP) approach with the Contingent Valuation Method (CVM) analysis method. The results showed that the average value of Willingness To Pay (WTP) was IDR 5,969.32 per month and the total value of Willingness To Pay (WTP) is IDR 1,724,961.54 per month. The economic value of springs in Popalia Village in one year is IDR 37,584,482.28.- The government is expected to be able to apply payment for environmental services to water use and design water source management so that it can be sustainable and sustainable.
Corporate legal responsibility against environmental damage
Authors: Salam S , Parawansa S S R , Mursanto D , Karim L M , Ernawati L , Gurusi  , Rahail E B , Raf Nuvida
Published: November 2019

The purpose of this study was to determine the form of legal responsibility due to the environmental damage done by corporations in the mining industry. This research uses normative legal research typology, especially those relating to the enforcement of corporate criminal sanctions in the fields of mineral and coal mining. The results of the research obtained are forms of penalties in the form of criminal sanctions for corporate actors who carry out environmental damage due to mining where law enforcers must provide strict sanctions to the perpetrators of destruction where the sanctions are strict liability, for the perpetrators of environmental destruction, who can create the legal entity has been dropped in the form of a criminal fine with a spread plus 1/3 of the provisions of the maximum criminal penalty imposed.
Structure of echinoderm community in Nirwana Beach, used as learning media on the beach ecosystem
Authors: Samritin  , Agusalim  , Iksan M , Aba La , Taharu F I , Manan  , Batlajery S , Tambaru R
Published: November 2019

This study aims to determine the structure of the Echinoderms Community in the Coastal Area of Nirwana Beach, Baubau City, which is used as a media for the distribution of coastal ecosystems. The method used in this study is a survey method. Data were taken using purposive sampling technique and analyzed in quantitative descriptive. Calculations are used in quantitative data processing using the Shanon-Weaver Diversity formula, Simpson dominance and Darrell’s abundance. Vodopich is the number of individuals per unit area. Environmental factors measured are temperature, salinity, and pH. The results showed that at the two research sites namely on the Nirwana beach of Baubau City, Echinoderms found consisted of 4 classes, namely Holothuroidea, Ophiuroidea, Echinoidea dan kelas Asteroidea. The diversity index of Echinoderms found in the two research sites shows differences and if based on the diversity index benchmark values, both locations are in the low diversity category (H < 1,0) which means that productivity is very low as an indication of heavy pressure and an unstable ecosystem. The dominance value of Echinoderms indicates that at the Nirwana beach location no one has dominated. While the abundance value of each class in Echinoderms shows that at the beach location is still very low. This is caused by excessive community activities.
The role of communities in conserving mangrove forests to achieve sustainable development
Authors: Hardin  , Dewi I K , Alzarliani W O D , Azaludin  , Wardana  , Andara D , Ramadhan F M , Huda A M
Published: November 2019

The function of the forest and mangrove forest both ecologically, economically and socially is very much felt by the community so far, but now it has been damaged due to increasing population and very limited land availability, so people choose to open the forest with the aim of earning a living, conditions this of course needs to be accompanied by conservation efforts so that the function of forests for the community can continue without damaging the environment. The objectives of this study are: (1) Factors that cause forest destruction in the City of Baubau; (2) Community participation in forest conservation in the City of Baubau. This type of research is descriptive qualitative using interview techniques to informants both community leaders and the community around the forest. The results showed that (1) a. Lack of community knowledge about the function of forests, especially community forestry, if community groups who are members of community forestry are empowered, the community around the forest will prosper because in addition to carrying out the function of forest conservation, they can also sell forest products; b. The community still considers the forest as the main livelihood, therefore government efforts are needed in community empowerment in the economic field for those who live around the forest; c. Forest conversion and illegal logging, some gardening, making ponds or housing because of the lack of clarity of forest boundaries according to the community. (2) The community did not understand their role clearly, so they themselves destroyed the forest because they opened a garden in the forest up to several kilometers so that it penetrated the South Buton District, so there were still some trees visible from the outside but when they entered inside. all of their forests are garden communities so there needs to be serious attention from the local government. To enhance the role of communities in maintaining the economic and ecological functions of forests, communities need to be given basic knowledge, especially ecosystem restoration.
The application of documentary film in improving student interest: An alternative for environmental education
Authors: Sapar  , Alfian A , Isriami  , Herdjiono M V I , Jusni
Published: November 2019

Documentary films can be used as a learning media in the classroom. The objective of the study was to determine the increase of student interest in learning using documentary film. The film is about motion in plants to study natural processes in the environment.Data obtained using student response questionnaire and learning interest questionnaire before and after using documentary films.There were 86.1% of students who gave a positive response to the media. Student interest has a normalized gain of 0.63 in the medium category. Increased student interest in attention 0.67, relevance 0.61, confidence 0.59, satisfaction 0.64. This learning media can increase student interest in junior high school.
Analysis stability of predator-prey model with Holling type I predation response function and stage structure for predator
Authors: Pratama R A , Ruslau M F V , Nurhayati  , Laban S
Published: November 2019

This paper developed mathematical models with structural stages from predators, namely small predators and adult predators. The predation function of adult predators follows the Holling I response function according to the characteristics in the ecosystem. In this model, an analysis of the equilibrium value and stability of the interior equilibrium value is carried out. Analysis of the stability of interior equilibrium values with the system linearization method at the value of equilibrium. Four equilibrium values were realized. Each equilibrium value has its own characteristics and conditions. The stability characteristics of equilibrium values were obtained using the Routh-Hurwitz criteria. Also, consider the eigenvalue of the characteristic equation in the Jacobi matrix. We also identify population changes made with cases that allow the ecosystem to work.
Study on effect of temperature smelting and pouring to mechanical properties Aluminum 7075
Authors: Klemens A , Rahangmetan  , Cipto  , Sariman F , Syahid M
Published: November 2019

Aluminum alloy is one of the most non-ferrous metals used in the field of engineering and construction due to its mild nature and resistance to corrosion, while specifically for the A7075 has been widely used in the industrial world and aircraft construction. Cast temperature is one of the many variables found in the casting process. This variable is important because if the pouring temperature is too low then the cavity in the mold will not be fully filled where the inlet of the mold will freeze first, and if the pouring temperature is too high, this will cause shrinkage and loss of accuracy in the dimensions of the castings. The purpose of this research was to compare the aluminum smelting process and the aluminum pouring process in molds made of sand. From this research, the results obtained by increasing the temperature of casting on 7075 aluminum alloy casting. In this study increase the hardness of castings at a pour temperature of 7500 C in sample 1 of 78.4 HB, sample 2 is 79 HB and sample 3 is 76 HB then hardness decreases at 7700 C pouring temperature which is in sample 1 equal to 55.6 HB, sample 2 was 62 HB and sample 3 was 60.6 HB. Tensile strength tends to decrease with the highest increase in pouring temperature of 198 N/mm2 at pour temperature of 7150 C and at the lowest 150 N/mm2 at 7700 C.