bluuebunny/crossref_metadata_2025_split huggingface dataset:
RETRACTED: Development Evaluation System of Psychological Vocational Education Based on Artificial Intelligence
Authors: Ren Yaqiong 
Published: July 2020

Abstract
Choosing a career is an important choice in every student’s life, and it is particularly important to evaluate the development of vocational education for students.However, many students today do not have a clear positioning, do not know themselves clearly, do not know what their appropriate work, unable to make a suitable career development plan, thus facing greater employment pressure. Based on this, this paper introduces the development of a professional psychological assessment system for students, which can help students better understand their own interests, personality and professional ability tendency through scientific professional psychological tests, so that teachers can more accurately evaluate students’ development ability and psychology. Based on the analysis of the existing vocational assessment software, the system improves a series of defects such as inflexible report form and incomplete functional modules. In addition, the reliability and validity of the selected scale were analyzed by retest method in this paper. The Pearson plot correlation coefficient basically met the requirements of 0.6∼0.8, with an interest of 0.66, a personality of 0.71 and a personality of 0.79, indicating that the measurement content of this system has a high reliability and relevance validity.
RETRACTED: The Integration of Professional Ethics of Modern Etiquette Students under the Background of Big Data
Authors: Zhang Yi 
Published: July 2020

Abstract
China is known as the “land of etiquette”. The children of the Chinese nation pay attention to etiquette and regard etiquette as an excellent traditional virtue. There are many excellent etiquette models in ancient times. In the current background of diversified development, all kinds of bad ideological trends erode college students, which is not conducive to the development of a harmonious society. College students stepping into the workplace, etiquette training is an important part of employing units to judge their professional qualities. In the current development background of the times, we need to pay more attention to the value of modern etiquette education and quality education of college students in order to improve the professional quality of college students. Therefore, this article starts to study the integration of professional etiquette in modern etiquette under the background of big data. This article combines comparative analysis, experimental methods and questionnaires, and understands the modernity of big data in the context of comparative data and questionnaires. The status of research on professional literacy of university students in etiquette education includes positive aspects and negative aspects. Among them, the positive aspect has a high recognition of etiquette status, accounting for about 65%, the willingness to learn etiquette is about 52%, and the importance of personal instrumentation About 72%, while the negative part includes: lack of etiquette knowledge accounted for 56%, etiquette emotional indifference 31%, etiquette value utility 42%, 67% disconnected etiquette behavior and cognition and public etiquette irregularities accounted for 53%, By analyzing these phenomena and then sorting out the importance of modern etiquette education for college students’professional literacy and the effective integration strategy of modern etiquette education and college student’s professional literacy education, finally, an experimental comparison is made according to the strategies studied in this paper, and the experimental strategies are verified by comparative experiments Effectiveness, this article is based on the education of modern etiquette in the context of big data Fusion research student professionalism is of great reference value for the Cultivation of the College Students’ talents.
Application of Big Data Analysis in Product R & D Design Decision
Authors: Song Yongdong 
Published: July 2020

Abstract
In the era of big data, individual small data is aggregated into big data through various network interconnections. Big data has the characteristics of large volume, many types, and fast speed. More and more information is contained in it. Massive data resources and mature The data value mined by the big data analysis method can provide more powerful decision support for enterprises in the product development and design process. Based on this, this paper analyses the application of big data analysis in product R & D design decision. This paper conducts research through a combination of literature review method and experimental comparison method, and summarizes relevant domestic and foreign literature data. It is found that big data analysis solves product development. For user needs and experience, data sources are more accurate and convenient. Through the comparison of the experiments of two companies in a certain area, it is concluded that companies that use big data analysis for product R & D and design have more advantages. Their advantages are as follows: the systemization of R & D and design has increased by 70.0%, and the efficiency has increased by 93.3%. Collaboration The aspect has increased by 55.4%, and the cost has been reduced by 58.3%. The research results of this paper show that big data analysis has played an important role in product R & D and design decisions.
RETRACTED: The Interaction of New Media and Social Information Based on Artificial Intelligence
Authors: Zhu Zedong 
Published: July 2020

Abstract
With the continuous development of network information technology, the process of social informatization is further accelerated, information transmission and exchange between different regions is more convenient, and people’s demand for information is further met. At the same time, with the continuous advancement of media technology, new media has gradually emerged, becoming the main force of social media and playing an important role in people’s daily lives. The purpose of this article is to study the interaction between artificial intelligence and new media based on social information. This article explains the meaning of new media from the narrow and broad perspectives, and introduces the characteristics of new media; then the interaction between new media based on artificial intelligence and social informatization is studied from both positive and negative effects. In the experimental part, this paper adopts the questionnaire method and uses 472 valid questionnaires as the data basis to count the respondents’ awareness of the interaction between new media based on artificial intelligence and social information. The statistical result is that only 31.8% think that the degree of mutual influence is very deep. This article also puts forward suggestions to promote the mutual development of new media based on artificial intelligence and social informatization.
Design and Analysis of Intelligent Home System for Remote Control of Luminance by Mobile Terminal
Authors: Zhai Dong , Li HongWei 
Published: July 2020

Abstract
Nowadays, the Internet provides a strong technical support for the construction and development of smart home.Smart home sets the user’s living environment as the central platform, and USES many technologies such as Internet of things, radio frequency identification, etc., to practice the unification, intelligent management and regulation of all indoor household appliances, which has obviously improved people’s living quality and created convenient conditions for users to manage household appliances.Under the pressure of high technology, the current smart home products on the market are of various types, diverse functions, each has its own advantages, most of the products are mainly used to regulate the switch quantity, analog quantity control involved in the degree of insufficient, unable to achieve the indoor lighting degree of fast and accurate regulation.This paper mainly develops a remote control system based on Android mobile terminal, and explores the specific method for the system to control the brightness of smart home lamps, so as to further improve the level of intelligence of smart home and the satisfaction of residents.
The Application of Artificial Intelligence in Agriculture
Authors: Zhao Baogui 
Published: July 2020

Abstract
In today’s society, data resources have become strategic resources as important as material resources, energy resources and human resources, which is the embodiment of a country’s digital subject and comprehensive national strength. The purpose of this paper is to study the application of artificial intelligence in the field of agriculture. It is of great practical significance and practical value for promoting the transformation and upgrading of traditional agriculture and promoting the development of intelligent agriculture. Based on the characteristics of the agricultural field, this paper defines intelligent agriculture, analyzes the process of intelligent agriculture, designs the general framework of agricultural technology, and thinks about the technical route of the development of intelligent agriculture. Then, based on the process theory, the application of acquisition technology, management technology and processing technology in the agricultural field is studied and discussed with specific examples. The results show that the processing rate of large production data is improved by 92.1%. Based on the experimental results, this paper puts forward some opinions on the development of intelligent agriculture, which can provide reference and basis for further promoting the application of artificial intelligence technology in agriculture.
Optimal Operation Strategy of Multi-energy System
Authors: Tang Yanmei , Li Kecheng , Wang Shanyou , Jin Lu 
Published: July 2020

Abstract
Multiple energy system could meet the needs of the user through different energy conversion ways. So if the load level is constant, the operating state of energy system could be different to meet different demand. By the analysis of energy flow of system, it can be known that the degrees of freedom come from the dispatch point of energy flow. Therefore, the dispatch factors and the input energy flows could be considered as the independent variables, and make a comprehensive evaluation criterion which considered the energy efficiency, economy and emission, as the optimization goal. The operation of the multi-energy flow system has been optimized. Through case analysis, the proposed optimal energy flow operation strategy was verified and analysed.
Low Carbon Multi-Objective Shop Scheduling Based On Genetic and Variable Neighborhood Algorithm
Authors: Yang Xingbo , Zhang Junhao , Zhang Ningbo , Li Yawei 
Published: July 2020

Abstract
Aiming at the low-carbon scheduling problem of flexible job shop, the carbon emission and key scheduling objectives of machining system are studied. Firstly, the carbon emissions directly generated by machines and indirectly generated by waste treatment are considered in the calculation of carbon emissions, and then a multi-objective optimization model is established with completion time, total machine load and carbon emissions as the objective function; secondly, the hybrid algorithm of genetic variable neighborhood is designed to solve the optimization model, and the completion time, total machine load. Finally, the production example is simulated in Matlab environment. The experimental results show that the multi-objective scheduling model is feasible and effective. According to the production situation of the workshop, the producer can allocate the weight of each objective, and reduce the carbon emissions in the production process on the premise of ensuring the balance of the completion time and equipment utilization.
Innovation in Computer Application Courses in Higher Vocational Education in the Context of Big Data
Authors: Shang Jing 
Published: July 2020

Abstract
In the context of the current big data era, the conventional classroom teaching is inadequate for the demand of computer application courses in higher vocational education. The way to reform the teaching mode, teaching method and teaching resources, and to integrate big data technology into computer application course teaching is explored, in order to train and educate talents at the demand of the developing times.
The Comparison of Retinal Vessel Segmentation Methods in Fundus Images
Authors: Luo Zhongliang , Jia Yingbiao 
Published: July 2020

Abstract
Due to complexity of retinal fundus images, they are usually affected with noise and lighting during image acquisition. It brings difficulty to segment retinal vessels accurately, so accurate retinal vessel segmentation is still a challenging task in fundus images analysis. Five kinds of typical retinal vessel segmentation methods are briefly introduced in this paper, which are based on thresholding, matched filtering, mathematical morphology, tracking, and deep learning. Each method has its own characteristics. The experiment results show that the method based on deep learning is the best segmentation method among them, which can effectively assist doctors to detect and diagnose cardiovascular and ophthalmic diseases in early stage, and provide the decision support for ophthalmic disease computer-aided diagnosis and establishment of large-scale screening system.
Research and Prospect of Image Recognition Based on Convolutional Neural Network
Authors: Hu Hanqing , Lyu Jin , Yin Xiaolin 
Published: July 2020

Abstract
This paper compares common image recognition technology, introduces three image recognition and classification technologies, and explains the most popular deep learning image recognition algorithm based on CNN in detail. As a new method of ANN, CNN combines ANN and deep learning technology. In the area of image recognition, the advantage of CNN is particularly prominent. Compared with the traditional image processing algorithm, CNN has higher recognition accuracy and speed, and can directly process the original image to avoid the complicated pre-processing image data. CNN is the first choice for image recognition.
Consulting Scheduling of Vocational Planning in Colleges and Universities Based on Improved Genetic Algorithms
Authors: Chen Zhenyu 
Published: July 2020

Abstract
In the work of promoting vocational planning education and consultation in colleges and universities, there are some problems, such as fewer teachers and more students, will make it difficult to complete the consultation for all students in a limited time. Focusing this problem, this paper makes a research on consulting scheduling of vocational planning in colleges and universities based on an improved genetic algorithms (IGA). Firstly, an improved genetic algorithm (IGA) is proposed in combination with the characteristics of the problem, which can realize the full coverage of the student consultation as soon as possible under the reasonable consideration of the workload and consultation time of the consultation teacher. The problem is coded by double-string method, different genetic operators are used for different characteristics of the string, and enhanced search operation is introduced to strengthen the optimal individual in the population. The results show that the IGA is more accurate and stable than the traditional genetic algorithm for promoting vocational planning education and consultation. The effectiveness of the improved strategy is verified by a simulation test. It is a feasible and reasonable scheduling algorithm for allocating consultation resources.
Capability of Sentinel-1 Synthetic Aperture Radar polarimetric change detection for burned area extraction in South Kalimantan, Indonesia
Authors: Syam’ani  
Published: July 2020

Abstract
Burned area extraction from optical imageries often has a major problem, that is the presence of atmospheric particles. A potential alternative for burned area extraction is using SAR imageries, those are relatively free of atmospheric interference. The purpose of this research was to explore change detection capabilities of Sentinel-1 SAR polarimetry for burned area extraction. The imagery used is dual-polarized Sentinel-1 (VV,VH). A number of polarimetric transformation methods are applied for the purpose of change detection. Those are, single cross-polarized log ratio, single co-polarized log ratio, dual polarized combination log ratio, dual polarized multiple log ratio, and dual polarized ratio log ratio. For comparison, the Relativized Burn Ratio (RBR) method was applied to the Sentinel-2 MSI imagery. The Otsu thresholding is then applied to separate the burned area and the unburned area. The results of the research showed that the single cross-polarized log ratio (ln(σ0VHt1/σ0VHt2)) transformation method was the most accurate method. This method has an overall accuracy of 88.7665% (Kappa 0.7567). It is more accurate than Sentinel-2 RBR, which has an overall accuracy of 81.8470% (Kappa 0.6383). Cross validation between Sentinel-1 SAR change detection and Sentinel-2 RBR does not show a significant correlation. The highest correlation coefficient achieved is only 0.25. This shows that burned area extraction between change detection from SAR imageries and RBR from optical imageries has a different mechanism. SAR change detection tends to detect changes in surface roughness, while NIR-based RBR tends to extract changes in leaf chlorophyll conditions.
Deformation and instability at Merapi dome identified by high resolution camera
Authors: Darmawan Herlan , Yuliantoro Pamungkas , Suryanto Wiwit , Rakhman Afif , Budi Santoso Agus 
Published: July 2020

Abstract
After phreatic eruptions in May and June 2018, a new dome continuously grows and deforms at Merapi summit. The growth of the Merapi dome progressively causes over steepening, triggers gravitational instability, and then collapses, producing pyroclastic flow. These activities have been observed by our high-resolution camera. Here, we performed high resolution terrestrial photogrammetry to identify deformation and instability at the Merapi dome. The data were collected between 10 and 15 April 2019 by using Cannon EOS 60 D camera and equipped with 200 mm lens. The 200 mm tele lens is able to provide detail morphology and to identify deformation up to sub meter accuracy. The high-resolution images were processed by registering a slave image to a reference image, scaling the images, and applying pixel-tracking techniques. The technique is able to identify deformation of the Merapi dome. Results show a continuous deformation with mean displacement of ∼1m during that period. A strong deformation was identified at the south-eastern part of the dome with maximum displacement up to 5 m which might be associated with a dome collapse that produced pyroclastic flow on 10 April 2019. Based on our observation, we infer that the activities of dome growth and gravitational instability triggers dome collapse are recently dominant at Merapi volcano.
Detecting mangrove deforestation using multi land use land cover change datasets: a comparative analysis in Southeast Asia
Authors: Sudhana Sonny A. , Sakti Anjar D. , Syahid Luri N. , Prasetyo Lilik B. , Irawan Bambang , Kamal Muhammad , Wikantika Ketut 
Published: July 2020

Abstract
Mangrove forest grows on tropical coastal areas and has an ecological role for its surrounding environment. Mangrove forest protects the coast from large waves and becomes a habitat for various marine fauna. It stores the highest densities of carbon among any other ecosystem globally. In Southeast Asia, Mangrove forest is highly biodiverse and contributes to the sustainability of the ecosystem. However, based on previous studies, mangrove forests are experiencing deforestation due to high demands of commodities and land use. In this study, we analyzed changes of land cover in Southeast Asia using several global land cover products produced between 2001 and 2012 and their correlation with mangrove deforestation based on Mangrove Forest Watch (CGMFC-21) data. LULC data products applied in this study were ESA CCI LC, MODIS LC, GlobCover. The analysis was carried out by calculating the rate of increase in mangrove deforestation and comparing it with changes in land cover that replaced the mangrove area temporally. The results of this study were land cover classes that replaced mangrove forest areas in the study period. Based on the results it could be concluded that the methods and products used influence the results. There are many sources of data products that might be used for future research, with other methods that are better so that they provide space for future research and development. Our study can be used as a consideration to implement policies that conserve mangrove forest across Southeast Asia.
Towards a study of fire occurrences in Indonesia
Authors: Susandi Armi , Tamamadin Mamad , Wijaya Aristyo R. , Pratama Angga F. , Faisal Irvan , Pratama Alvin , Widiawan Destika A. 
Published: July 2020

Abstract
In the past 5 years, the issue of forest and peatland fires in Indonesia has received a major concern from various parties. As one of the prevention efforts, the Government of Indonesia seeks to prevent the ignition of forest and peatland fires both anthropogenic and naturally as a result of prolonged drought. These efforts could be carried out well through the implementation of remote sensing observations and through predictive technology on the position of the hotspot. However, it should be noted that historical data that have been used in those predictive technology on these hotspots are not yet verified and validated with fire occurrences and burned area footprints. Therefore, in this study, verification of historical fires hotspot will be conducted with the occurrence of wildfires based on land use satellite imagery to validate the events. This verification test will use overlay and spatial statistical methods. based on the results of the verification test, a number of hotspots were found that were not in accordance with the incidence of forest fires especially in some area that neared agricultural area and factories. Thus, in the implementation of the use of hotspot data for predictions of forest fires, it is necessary to verify the suitability of the land and the incidence of forest fires.
Spectral analysis for phenological studies of leaves and fruits development in coffee plantation in Gunung Puntang: a preliminary result
Authors: Ghazali M F , Wikantika K , Tridawati A , Harto A B 
Published: July 2020

Abstract
This is important to know plant health that affects fruits production. Especially in a coffee plantation, even though it will be dried before harvesting, the farmers depend on their fruits and only the mature will be taken. The biochemical parameters in leaves and coffee fruits will be defined as the major factors in determining plant health. Both leaf and fruit coffee’s reflectance used to determine biochemical content during its development stages. Some of modification vegetation indices that used to evaluate the greenness level, chlorophyll and water content, and colorization named MNDVI, MCARIs, MNDWI and MYI and the associated indices with all parameters name REPD was used to understand the leaves development. The result shows that all leaves biochemical factors are decreased during its development. All factors also shown a moderate to strong relationship each other. The highest correlation is given by the water content based on the estimated values of MYI. It has R2 -0.96 to the values of REPD. Since the REPD capable to control the values of MNDVI, MCARIs, and MNDWI with R2 -0.91, -0.66 and -0.71 respectively.