bluuebunny/crossref_metadata_2025 huggingface dataset:
Retraction: Newton Categories for a Solvable Element (Journal of Physics: Conference Series
1637 012123)
Authors: Wan Fang
Published: February 2021

This article has been retracted by IOP Publishing on 18 February 2021 in light of clear evidence that it was computer generated. IOP Publishing is investigating why this was not identified during the submission and peer review process by the conference. As a member of the Committee for Publication Ethics (COPE) this has been investigated in accordance with COPE guidelines and it was agreed the article should be retracted.

Retraction published: 18 February 2021
Some More Results on at Most Twin Extendable Separated Domination Number of a Graphs
Authors: Anuthiya S. , Mahadeven G.
Published: February 2021

Previously, G. Mahadevan et. al., has invented the concept of At most twin Extendable separate Domination number of a graph and obtained many resluts. A set S ⊆ V is said to be At most twin extendable separated dominating set, if for every vertex υ ∈ V − S, 1 ⩽ | N (V) ∩ S| ⩽ 2 and < V − S > is a perfect matching. The minimum cardinality taken over all At most twin extendable separated dominating sets is called At most twin extendable separated domination number of a graph and it is denoted by ATES (G). In this research paper, this number is evaluated for some intersting special types of graphs.
Domination, Edge Domination and Roman Domination in Human Chain Graph
Authors: Meiyanathan M , Anitha K
Published: February 2021

In this paper, we determine domination number, edge domination number and roman domination number of a human chain graph.
Distance-2 Irregular chromatic numbers for some graphs
Authors: Yokesh D. , Nirmala G. , Anitha K.
Published: February 2021

Let G be a graph and let c:V(G)→{1,2…..k} be a coloring of the vertices of G for some positive integer k (where adjacent vertices may be colored the same). The color code of a vertex v of G (with respect to c) is the ordered (k+1)-tuple code (v) = (a0, a1, a2….ak) where a0 is the color assigned to v and for 1 ⩽ i ⩽ k, ai is the number of the vertices of G adjacent to that are colored i. The coloring c is called recognizable if distinct vertices have distinct color codes and the recognition number of G is the minimum positive integer k for which G has a recognizable k-coloring. In this paper we introduced a new variation of above parameter namely distance-2 irregular coloring. We initiate a study of this parameter and also find the distance 2-irregular chromatic number of some standard graphs.
Generalization of New Degree Based Topological Indices of Silicate Network Graph
Authors: Selvarani P. , Dhanalakshm K. , Irudaya Monica Catherine J.
Published: February 2021

In the fields of chemical graph theory and mathematical chemistry, a topological index also known as a connectivity index is a type of a molecular descriptor that is calculated based on the molecular graph of a chemical compound. Topological indices are numerical parameters of a graph. Topological indices are used for example in the development of quantitative structure-activity relationships (QSARs) and other properties of molecules are correlated with their chemical structure, in that Silicates are the most common minerals in the Earth’s crust and mantle, it has a wide variety of physical properties which paved way to find the topological indices. In this paper gives us the generalized new form of topological indices such as Arithmetic-Geometric Index (AG Index), SK Index, SK1 Index and SK2 Index of Silicate network graphs.
TODIM method based on bipolar intuitionistic fuzzy soft set
Authors: Anita Shanthi S. , Jayapalan Prathipa
Published: February 2021

This paper deals with TODIM(an acronym in Portuguese for iterative Multi-criteria decision making) method based on bipolar intuitionistic fuzzy soft set (BIFSS). Entropy measure on BIFSS is developed and it serves as a tool in computing the weight values. Further, a score function is defined and based on it a score matrix is constructed. A BIFS normalized euclidean distance is developed and by using this a dominance degree matrix is computed. An illustration is given to show the applicability of this method in solving the decision making problem.
RETRACTED: Harmless Treatment and Comprehensive Utilization of Dairy Farming Waste Based on Artificial Intelligence
Authors: Ji Bin , Du Jinhao , Qi Hongshan , Peng Yinan , Zhu Ruiqing , Wu Chenghao , Wang Zhiye
Published: February 2021

With the rapid development of social economy, people’s living standards are constantly improving. Dairy farming, as the main source of people’s demand for dairy products, plays an important role in the current social development. However, the disposal of its waste has always been a thorny issue. Therefore, the purpose of this paper is to study the harmless treatment and comprehensive utilization of dairy farming waste based on artificial intelligence. Finally, according to the actual investigation and comprehensive combination of artificial intelligence technology, this paper puts forward a dairy farming wastewater treatment system. The system uses artificial intelligence, multistage solid-liquid separation, biodegradation and other technologies, which can effectively treat the wastewater produced during dairy farming with good treatment effect and stable effluent index. In this paper, through experimental research, it is found that the quality of the treated wastewater is higher than the farmland irrigation standard by using the dairy farming wastewater treatment system based on artificial intelligence, and the effluent quality is lower than 200ml/g after advanced treatment. This will greatly improve the current ecological environment pollution, improve the scale process of aquaculture industry, provide an institutional system for the construction of waste discharge and utilization, and also provide new impetus for the green development of dairy farming industry.
Design of digital business center of enterprise project management system based on Information Technology
Authors: Zhao Lei , Deng Junhua , Ma Yulong , Zhu Yan
Published: February 2021

Under the current network economy and e-commerce environment, the market competition is increasingly fierce, and the customer demand is increasingly diversified. The traditional enterprise project management system digital business center is difficult to achieve efficient enterprise project management. Therefore, this paper proposes the digital business center design of enterprise project management system based on information technology. The data processing structure of project management business center is designed, and the overall framework of enterprise level project management system is constructed. The enterprise digital management mode and decision-making steps are optimized through the division of enterprise level project information management level, and the enterprise level project management business category level is classified. Finally, the design of enterprise level project management system digital business center is realized. Experimental results show that the proposed method can solve the problem of information transmission between enterprises, and make corresponding linkage adjustment quickly according to the changes of market environment, ensure the smooth, flexible and rapid response of enterprise supply chain, and can timely and quickly find and meet customer needs, and achieve efficient project management.
The Mechanical Analysis of Cement Concrete Surface Layer With Load - transfer Bar for Joints Based on Computer
Authors: Bi Xiaoxi , Yv Yang , Zhang Zhijun , Lv Fangli , Qiu Peitao
Published: February 2021

To establish a joint dowel bar and dowel bar set of cement concrete pavement structure in three dimensional finite element model, using the method of numerical analysis, analysis of the joint of cement concrete road surface of the load stress, deflection and deflection difference, to study the foundation modulus, dowel bar diameter on the load stress and the influence law of deflection is poor, and the condition of the same calculation results are analyzed in comparison. The results show that the principal stress, shear stress, deflection value and deflection difference decrease with the increase of the diameter of the rod. When the diameter of the transmission rod is greater than 35mm, the effect of increasing the diameter of the transmission rod on reducing the stress value at the calculated point in the cement concrete surface layer is not obvious. The calculated point load stress and deflection difference of cement concrete surface layer are obviously less than the calculated results when no load rod is installed in joints. When the foundation modulus is not greater than 800MPa, it is suggested to estimate the joint load transfer efficiency based on shear stress: when the foundation modulus is greater than 800MPa, it is suggested to estimate the joint load transfer efficiency based on the bending and sinking value or the principal stress[1-2].
Monitoring of Macadamia Nut Planting Environment Based on Smart Sensor Technology
Authors: Zhang Jinyun , Zhao Xiujuan , Tao Liang , Wu Shijun , Chen Qianqian
Published: February 2021

Smart sensor network technology integrates sensors, embedded computing, modern networks, wireless communication and distributed information processing technologies, and is currently a frontier hot research field in the world. The application of wireless sensor network to the greenhouse environment monitoring system to realize self-organizing network, wireless data transmission and intelligent control is also of great significance to the realization of agricultural modernization. The purpose of this paper is to study the monitoring of macadamia nut planting environment based on smart sensor technology. Since the greenhouse environment monitoring system has very high requirements for power consumption, cost and stability, this article selects ZigBee wireless sensor network technology with low power consumption, low cost, high stability, etc. to build a set of monitoring temperature and humidity Greenhouse wireless smart sensor network model. According to the actual requirements of greenhouse environment monitoring, this article proposes a new type of ZigBee technology-based greenhouse macadamia nut planting environment monitoring system solution, and gives the overall structure of the system. Considering many aspects such as cost and power consumption, this article stores, displays, analyzes and processes the acquired data. The functions of the system meet the design requirements. The system realizes the collection of greenhouse parameters and the data display and processing functions, and realizes the video monitoring of the greenhouse. Experimental studies have shown that in the actual greenhouse environment, due to a large number of crops blocking, it is bound to produce certain obstacles to signal transmission, but because of the large number of nodes, the distance between the node and its parent node will not exceed 25m, which also ensures The data collected by sensor nodes can be safely and error-freely transmitted to the coordinator node in a multi-hop manner.
Industrial Control Trusted Computing Platform for Power Monitoring System
Authors: Wu Jinyu , Tao Wenwei , Lai Yuyang , Qin Zuming
Published: February 2021

The traditional network security protection methods are not enough to cope with the increasingly harsh network environment. It is of great significance to construct the active defense system of power monitoring network through trusted computing technology. Based on trusted computing technology, this paper studies the trusted computing platform for power monitoring system, mainly studies the trusted computing platform of master station and the trusted enhancement of field measurement and control equipment. Trusted platform of master station and trusted enhancement of field measurement and control.
Design of Automatic Production System for Multi-agent Edible Fungus Inoculation
Authors: Mao Chunyu , Yang Xiaodong , Yang Zhuojuan , Liu Hao
Published: February 2021

The automatic production system of edible fungus and fungus coating includes feeding robot, rod pulling robot, fungus injection system, cotton ball sealing system, detection system, feeding robot and assembly line. In the process of automatic bacteria injection, the work process is complicated because the space, function, and time of each part are different. It is difficult to achieve coordinated control of various devices using a single system. Therefore, multiple agents are established for the actual running multi-stage production system. Through the FA/C protocol, the agents communicate with each other, and the Manager-Agent is used to coordinate the control of each Task-Agent. Multi-agents are used to coordinately control the inoculation process of edible fungus bag, which is safe and reliable to meet the requirements of automatic inoculation of edible fungus bag.
Design and Analysis of Film-Covering Direct Seeding Machine in Paddy Field
Authors: Yu Xiaoze , Zhang Baofeng , You Jiahan
Published: February 2021

To realize the mechanization of film-covering direct seeding in paddy field, this paper analyzes the agronomic requirements of film-covering direct seeding of rice and the characteristics of paddy field operating conditions, and designs the overall structure of film-covering direct seeding machine by referring to the mechanical properties of degradable plastic film and paddy field working conditions. This machine adopts suspension structure and is powered by the handpiece of high speed rice transplanter. In the process of design, the resistance should be reduced as far as possible on the premise of film laying, so that the structure can be light and simplified to ensure the excellent trafficability of machines and tools in the paddy field. The power parameters and other main parameters of the direct seeding machine are determined. The stress of the designed machine during working is analyzed, which provides reference and basis for the subsequent research on the direct seeding mulch applicator in paddy field.
Ubiquitous Power Internet of Things and IPv6 Technology in Wireless Access Terminal and Intelligent Meter Reading Application System
Authors: Zhuang Yan , Dong Liang , Xu Jie , Xu Hao , Guo Yue , Xu Ning , He Liang , Yang Shan , Wang Yawen , Deng Yunxiang
Published: February 2021

State Grid Corporation of China (SGCC) has put forward the decision of building “three types and two networks”, which makes the energy Internet enterprises more competitive. With the goal of reaching the first-class level in the world, they are confident to meet greater challenges. To a certain extent, the power Internet of things has a great impact on the enterprises in the power industry, but also faces a huge impact and challenge. Based on the analysis of the current situation of China’s electric power enterprises, this paper puts forward the research of ubiquitous power Internet of things and IPv6 Technology in wireless access terminal and intelligent meter reading application system. Through the investigation and analysis of 180 staff of an electric power enterprise in China, this paper compares the cost, rationality and efficiency of traditional power mode and IPv6 technology power mode, and discusses and analyzes the results. It is concluded that after the introduction of IPv6 technology into the power industry, the cost of the enterprise is saved, the rationality of the structure is improved, and the benefit of the power enterprise is also significantly improved, which provides technical guarantee for the development of the power enterprise. The research in this paper has important practical significance for further promoting the application of ubiquitous power Internet of things and IPv6 Technology in wireless access terminal and intelligent meter reading application in power enterprises.
Fatigue Performance of Titanium Alloy Welded Joints
Authors: Zhang Lijun , Kang Jingjie , Tang Shengming , Shi Xiumei , Sun Yuandong , Wang Ruolan , Li Shengjie
Published: February 2021

Titanium alloys are widely used in aerospace, chemical engineering and medicine because of their excellent tensile, fatigue strength and corrosion resistance. For aerospace titanium alloys, fatigue performance is an important parameter, especially as a structural material. Welding is an indispensable method. After welding, there is a large unevenness in the structure and mechanical properties of the welded joint. Fatigue performance also has a profound effect. This article has done a deep research on the fatigue performance of titanium alloy welded streets, using ANSYS software to calculate and analyze the stress concentration of welded joints, observe and analyze the welding defects on fatigue fractures, and discuss the effect of welding defects on fatigue behavior The equivalent residual stress after spot welding at the center of the joint weld obtained by conventional laser welding near the welding end position is 547 MPa, of which the longitudinal residual stress along the weld direction is tensile stress, the magnitude is 482 MPa, and the transverse direction perpendicular to the weld direction The residual stress is a compressive stress of 114.0 MPa, and the equivalent residual stress of the weld is reduced after the use of SGCW technology. The equivalent residual stress at this point is reduced to 489 MPa, which is a reduction of nearly 12%.
Development of Magnetoelectric Speed Sensor for Engine with High Environment Adaptability
Authors: Li Yongqing , Liu Zhongqiang , Xu Danhui , Hu Yanli , Zheng Nan , Ma Chao , Qi Jing
Published: February 2021

The high reliable environment adaptive magnetoelectric speed sensor developed by this project is mainly used in the field of engine measurement and control. This project can effectively improve the accuracy and reliability of sensor measurement by adopting a new output design of redundancy synchronous coil and transformer secondary amplification design. By optimizing the induction coil, magnetic steel and internal structure, the sensor has outstanding performance such as low speed work, high sensitivity and low noise; At the same time, the project also through the overall structure of the sensor, material design, packaging technology and other optimization design, to ensure that the sensor meets the wide temperature zone, vibration resistance, impact resistance and full seal protection and a series of high reliable environmental adaptability technical requirements.
Digital watermarking algorithm for multi-sampling compressed sensing in measurement domain
Authors: Tian Pengyi , Xu Dinggen , Xu Wenqiang
Published: February 2021

Compressed sensing technology is widely used in the field of digital watermarking and traditional algorithms lack proper selection of carrier data, resulting in excessive computing costs. The algorithm in this paper mainly focuses on the measured values of different regions, uses the clustering algorithm to select the appropriate image blocks, adjusts the sampling rate to re-measure the background image blocks, obtains new measurement values, and then performs digital watermark embedding and carrier image restoration. The experiment shows this method improved transparency, while possessing certain robustness and resistance to extraction.
Research on the Training mode of German Talents in Colleges and Universities Based on MOOC
Authors: Yan Chengcheng
Published: February 2021

At the present stage, the German talent training in Colleges and universities is facing unprecedented barrenness, unable to perfectly meet the needs of enterprises, and it is difficult to meet the work division and characteristics of enterprises. Based on this, MOOC learning alleviates this phenomenon. MOOC learning has its own characteristics. It can solve the problem of German talents training in Colleges and universities in the learning process and has a unique learning mode. Therefore, this paper proposes a MOOC based German talent training model. Firstly, the teaching mode of characteristic German talents training based on MOOC is established. According to the analysis of learning data, the teaching objectives are adjusted, the appropriate teaching plan is formulated the students are urged to complete the learning tasks at any time. MOOC provides students with preview, online learning, discussion, testing projects and real-time feedback on students’ learning status, which makes the German talent training mode more novel and effective.
Dynamic Adjustment Mechanism of Specialty Setting in Application Oriented Universities Under the Background of Big Data
Authors: Tian Ruixia
Published: February 2021

The specialty setting and adjustment in colleges and universities are closely related to the development of local economy and society. In order to cultivate high-quality talents, colleges and universities must base on the needs of current economic development, follow the law of professional development, set up new majors and transform old majors. However, there are many defects in the dynamic adjustment mechanism of specialty setting in traditional application-oriented colleges and universities law has been unable to adapt to mass information processing. Based on this, this paper studies the dynamic adjustment mechanism of specialty setting in application-oriented universities under the background of big data. Based on the big data mining algorithm, this paper proposes a dynamic adjustment mechanism of specialty setting in application-oriented colleges and universities, and selects two majors with the same basic situation to verify the method in this paper. In the verification process, we compare the method in this paper with the traditional method. The results show that the employment rate of graduates is 63%, the employment rate of graduates is 41%, and the rate of voluntary filling is 12%. However, among the students who adopt the traditional method, the employment rate is 81%, the employment rate of graduates is 63%, and the rate of voluntary filling is 21%. It can be seen that the dynamic adjustment mechanism of specialty setting in application-oriented colleges and universities proposed in this paper is feasible under the background of big data, and this study also provides a new reference direction for the adjustment of specialty setting in colleges and universities.
Tourism Marketing Innovation Management Model Based on Big Data
Authors: Su Aihua
Published: February 2021

The competition among the tourism industry in my country is very fierce. The emergence of big data provides new opportunities for the development of the tourism industry. The tourism industry uses data mining and cloud computing technology to filter out valuable data from massive amounts of information. This function It provides the possibility to develop an innovative management model of tourism marketing based on big data. This paper conducts research on big data technology, combines big data with tourism marketing management mode, and proposes an innovative management mode of tourism marketing based on big data. This innovative management mode can effectively mine and intelligently analyze the data of tourism users, so as to develop a personalized marketing plan. The research results show that the tourism marketing innovation management model based on big data improves the accuracy of customer demand judgment by 25.7%, improves the core competitiveness of tourism enterprises, and promotes the development of the tourism industry.
The Current Situation of Medical Information Retrieval Teaching under the Background of MOOC
Authors: Zhang Yongrui , Gao Jialin
Published: February 2021

The full name of MOOC is the massive open online course. The platform system of medical information retrieval and utilization resource base based on MOOC can realize online learning, examination, information release and other functions. It helps to improve students’ information literacy, reduce teachers’ workload, improve teaching efficiency and promote teaching reform.
Anti-symmetric Plane Anti-symmetric Arch Cable-stayed Bridge abutment Joint Stress Analysis based on Finite Element Method
Authors: Gao Yuan , Zhu Tao , Bai Yu
Published: February 2021

As an example by two step finite element analysis method, North Central Bridge of Taiyuan is calculated with the three abutment joint in static and dynamic conditions of the calculation results. Steel arch mainly produces bending, torsion, compression deformation and dynamic combination of working conditions is significantly higher than that of the dynamic combination of conditions. The overall stress level is not high can be appropriately increased the proportion of steel arch. The two-step finite element analysis method is used to establish the finite element model of the whole bridge by MIDAS / Civil, and the local finite element model of the arch abutment joint is established by using ANSYS. The results of the finite element model of the whole bridge are loaded into the local finite element model in the form of medium force and concentrated couple through the main node of rigid area. The result (absolute value) of dynamic combination condition is obviously higher than that of static combination condition, which indicates the importance of considering dynamic load combination in design. Whether the maximum stress of steel plate or the maximum first principal stress and the minimum third principal stress of concrete are within the reasonable range.
Image Recognition Technology of Synthetic Aperture Radar
Authors: Duan Rongxia , Liu Jiaru , Xu Baocai , Huang Tianchen
Published: February 2021

The rapid development of artificial intelligence in recent years, especially the rise of deep learning, provides a new path for radar target recognition. This paper first introduces the development of synthetic aperture radar and deep learning, and then analyzes the challenges and difficulties of deep neural networks. Then the self-encoder is used for target recognition. The model uses self-encoder to realize feature selection and data Manacor to classify the final object. In this paper, the advantages and disadvantages of the model are analyzed, and the improvement ideas are put forward. Finally, the original synthetic aperture radar image is processed by Median filter, mean filter and Gaussian filter. After comparison and analysis, it is concluded that the filtering effect is best when the Median filter size is 22.
Probabilistic Connectionless Multipath Routing Algorithm for Reliability and Stability Evaluation
Authors: Wang Zhihan
Published: February 2021

Aiming at the dynamic topology characteristics of mobile ad hoc networks, a dynamic multi-path routing algorithm based on improved probability disconnect multiple routing (IDPMR) performance is proposed, which can derive the classification of link cost function by considering real-time parameters, so as to flexibly allocate resources for transmission and reduce the impact between traffic categories. Based on the statistical characteristics of path remaining lifetime, the algorithm takes into account the correlation of adjacent link lifetime, so as to eliminate the theoretical error of existing algorithms in path stability estimation, and uses the optimized stability criterion to realize the multi-path selection of route discovery process and fast route repair based on backup path support. The simulation results show that the algorithm has fast convergence speed, can effectively improve the network throughput, shorten the data transmission delay and reduce the routing overhead, and better ensure the stability of data transmission under high node mobility.
Weeding Method of Traditional Chinese Medicine Planting Based on Big Data Analysis
Authors: Yu Xiaoze , Zhang Baofeng , You Jiahan
Published: February 2021

With the continuous development of China’s society and economy, China’s various high-tech science and technology are constantly applied and updated in our daily life, and the level of infrastructure construction in our country has been constantly improved. In this era of big data, the application of big data technology has successfully reduced the pressure of people in work and study. The research on the methods of planting and weeding of traditional Chinese medicine has been highly concerned by people from all walks of life. The application range of traditional Chinese medicine is very wide. It can not only be used in the treatment of diseases, but also in health care and agriculture. In order to better help the research of weeding methods in traditional Chinese medicine planting in the new era, this paper puts forward the application of big data technology in the research of weed control methods of traditional Chinese medicine planting. Through the analysis method of big data, this paper analyzes some problems that need to be solved in the current development of traditional Chinese medicine planting and weeding, so as to formulate a set of research scheme of traditional Chinese medicine planting and weeding methods based on big data analysis in this era. Through the analysis, the method proposed in this paper successfully provides a new development idea for the research of weed control method of traditional Chinese medicine based on big data analysis.
Impact of Big Data Technology on the Diversity of Physical Education Teaching Methods
Authors: Hu Wenwu , Ye Liaokun
Published: February 2021

The development of Internet technology has caused a sharp increase in the amount of data in the current society, and the information age has gradually transitioned to the era of big data. And physical education as a course for us to improve the physical quality and mental state of our students is naturally extremely important. Therefore, this paper studies the impact of big data technology on the diversity of physical education teaching methods. Although there is a lot of research on physical education teaching, there are still deficiencies. This article analyzes the impact of big data on the development of physical education from these five aspects through education decision-making, education teaching, student learning, and education evaluation and education research. Using the method in this article, tests have shown that students’ enthusiasm has increased by 16%.
Application of Big Data Information System in the Field of Public Utilities Management
Authors: Yu Qianqian
Published: February 2021

With the continuous development of information technology, the management of social issues has entered a new era, and a series of management activities in the field of public service management are also facing new issues. Based on the above background, the purpose of this article is the application of big data information system in the field of public utilities management. This article first discusses the relevant theories of public information resources, including the concepts of public information resources, public information resource integration, public information big data platform, etc., and summarizes and summarizes them; secondly, it focuses on the current status of the integration and application of public information resources And the existing problems, and analyzed the advantages of using big data technology to promote the integration and application of public information resources; then, combining the current status of the integration and application of public information resources and the actual needs of the construction of public information big data platforms, the positioning of the public information big data platform is explained. And the construction content, built the overall construction framework of the public information big data platform, and carried out the functional analysis and design of the various subsystems of the platform; finally, discussed the performance evaluation index system of the public information big data platform, using the analytic hierarchy process and fuzzy The comprehensive evaluation method builds a public information big data platform performance evaluation model. When the number of folds is 2, its prediction accuracy is the highest, reaching 96.91%, which evaluates the construction and operation of the platform.
Full Convolutional Network Algorithm Improves the Accuracy of the Boundary of Orthographic Composite Images
Authors: Xiong Jia , Hu Jianxin
Published: February 2021

In the past several “five-year plans”, China has basically established the national, provincial and regional streets of basic geographic information database, and on this basis has carried on a certain degree of improvement. Based on deep learning, this paper aims at improving the boundary accuracy of the orthographic composite image based on the convolutional neural network algorithm. It mainly compares the effects of different parameters on the performance of the network model, and describes the training and testing performance of the model through the corresponding performance evaluation method. In the research and test, the detection accuracy statistics of internal industry encryption points and field control points with different scale accuracy were adopted. The results showed that the error in the DOM detection of new aerial images and satellite images was less than 3m and 9m, which met the technical requirements and improved the boundary accuracy compared with the plane accuracy of existing digital orthophoto images. Thus, it can be seen that the new production technical scheme of aerial image/satellite shadow DOM generated by enhancing the precision of the orthographic composite image boundary based on the full convolutional network algorithm under deep learning is efficient and feasible. The study not only improves the relevant theories, but also has some practical inspirations for future research.
Research on Efficient and Intelligent Regulation of Nutrients in Protected Soilless Culture
Authors: Peng Xiuyuan , Miao Yu , Wang Feng
Published: February 2021

Green plants can effectively purify the air, release negative ions, and form a green field of vision to promote human physical and mental health. Nowadays, with the acceleration of the pace of life and the increase in the pressure of life, people do not have enough time and energy to take care of plants grown indoors in homes. Plants in large office places need to hire professionals to plant them. Raw intelligent control of flower pots can reduce energy consumption, save resources, and realize a smart life of health, environmental protection and low-carbon energy saving. At present, the effective combination of smart flowerpots and the Internet of Things makes smart flowerpots more distinctive and more obvious than traditional flowerpots. The purpose of this article is to study the efficient and intelligent regulation of nutrients in protected soil-less cultivation. In terms of methods, this paper first proposes fuzzy control and fuzzy self-tuning PID control. When the PID parameters of temperature and humidity are controlled by this control system, fuzzy rules, fuzzy reasoning and non-fuzzy processes are also used. In the soil-less cultivation control system, when the humidity in the greenhouse is too low for plant growth, you can choose to adjust the humidity in the greenhouse by starting the spray device or natural ventilation. As for the nutrient liquid level sensor, a light-weight, convenient, simple-to-use, and highly cost-effective water level recognition sensor is manufactured using the characteristics of liquid conductivity. In terms of experiments, between traditional soil-grown lettuce and container-less cabin-grown lettuce under the intelligent control system of soil-less cultivation yields comparative data and results. It is found that intelligent soilless cultivation is superior to traditional soil cultivation in terms planting effects, which reflects the effectiveness of the intelligent soil-less cultivation proposed in this paper.
Classification of Baby Cry Sound Using Higuchi’s Fractal Dimension with K-Nearest Neighbor and Support Vector Machine
Authors: Widhyanti D , Juniati D
Published: February 2021

The crying baby sound is a way to express their physical and psychological conditions. For most people, it is difficult to distinguish the meaning of the sound of a baby’s cry because they are almost all similar. In fact, sometimes parents still lack knowledge of understanding their baby’s condition from the sound of crying. Therefore, research to classify the types of baby crying sounds mathematically becomes very interesting. This study aimed to classify the types of crying sounds for babies using fractal dimensions, particularly the Higuchi Fractal dimension. The data used in this study were 80 data consisting of 4 types of cries, namely hunger cries, tired cries, stomach ache cries, and uncomfortable cries. In this study k-max values of 10, 16, and 50 were selected as experiments. The results of the fractal dimension value of each sound signal were carried out in the data grouping process. The k-fold cross validation data distribution method with values of k = 5 and 10 were used. The classification process was carried out using the K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) methods. Based on the research results, the best accuracy was 78.75% at level 5 decomposition with 5-fold cross validation, k-max value = 10, and K = 9 value on the KNN method. Whereas with the SVM method, the best accuracy was 80% at level 5 decomposition with 10-fold cross validation, k-max value = 10 and c = 10 and using RBF kernel with γ = 10. So in this study, the Support Vector Machine (SVM) method was slightly better than the K-Nearest Neighbor (KNN) method.
Connected Floating Balls Dynamics for Harvesting Energy of Sinusoidal Water Wave
Authors: Viridi Sparisoma , Irwanto Dwi , Hariyanto Nanang , Sasmono Sudarmono
Published: February 2021

Dynamics of connected balls floating on surface of fluid oscillating sinusoidally has reported. In this work a simple electrical generator is simply modeled based on the change of distance between connected balls from its initial value or Δl. By considering only one-dimensional motion of each ball, all the changes Δl are positive, that makes the system easier to be predicted. Sum of all Δl as function of initial initial distance between balls or l is discussed. Water wave wavelength λ is also varied to see how it influences the sum of all Δl.
Static Structural Analysis of Ceramic Internals Experimental Power Reactor (RDE)
Authors: Sulistyo Farisy Yogatama , Himawan Roziq , Nugroho Ari , Bakhri Syaiful
Published: February 2021

In 2018, BATAN propose detail engineering design of Experimental Power Reactor (RDE). An important issue of RDE is Ceramic Internals or Reactor Pressure Vessel (RPV). Ceramic Internals is pathway of helium gas, control rod, absorber ball and also pebble fuel. Its structural component must sustain by the load of 27000 pebbles fuel. A preliminary static structural analysis of bottom reflector, a part of Ceramic Internals, has been studied before, the result was satisfying and could be scale-up to analyse the Ceramic Internals with same methods. Design and static structural simulation are performed by using Solidworks software to study the factor of safety distribution in Ceramic Internals. The design was made in 16 layers with small dowel as the component to endure the movement. Factor of safety was obtained in static simulation using single simplified parts. The preliminary result show that the minimum factor of safety can handle the load of Ceramic Internals structural. This result show that the model is suitable for RDE design.
Development of Monitoring and Control Systems in Cavity Cooling System Test Loop for The Experimental Power Reactor
Authors: Budiman Arif Adtyas , Haryanto Dedy , Santosa Kussigit , Bakhri Syaiful
Published: February 2021

The Experimental Power Reactor as a fourth type of reactor currently being developed in Indonesia is high temperature gas cooled reactor which has a passive cooling system. This passive cooling system uses the principle of natural circulation through changes in water density and called as reactor cavity cooling system. To study the reactor cavity cooling system, a test facility will be created at BATAN which is called the Cavity Cooling Test Loop. This test facility consists of mechanical systems, piping and instrumentation. The instrumentation are includes temperature measurement, flow rate, pressure and heating control. Measurement and control monitoring systems that are needed in order to get data effectively and efficiently have not been made. Therefore, in this study, LabVIEW was used to create monitoring and control programs. A program to monitor temperature, flow rate and pressure has been made with a measurement point of 60 thermocouples, 1 flowmeter, and 1 pressure sensor. The heaters control program is made for 10 units with control of each heater ranging from 200°C to 900°C. Simulation has been done to test the performance of the program using DAQ simulator. Based on the simulation results, the program can be applied to the test facility by paying attention to the input type in the DAQ module.
Design And Analysis Development Of RL Component On Power Use In 3 Phase Motor Loads With Virtual Instrument
Authors: Sumarno Edy , Sunardi Ariyawan , Yunines  , Rubiyanto
Published: February 2021

The development of science and technology must be accompanied by the development of human resources. With reliable human resources and understanding the technology, it will certainly be easier for them to apply their knowledge to the rapid development of the technological world. Understanding of a component is very necessary can analyze the use of each component in an electric power system. Among these components are Resistors and Inductors, the electrical power system components need to know their characteristics so that they can be applied properly to the equipment. The purpose of this study is to obtain the characteristics of the R load and L load on the performance of the 3 phase motor and its effect on the power consumption of the 3 phase motor, so that the power consumption and maintenance costs of the 3 phase motor can be minimized. The research methodology is by installing resistor and inductor circuits in the R, S and T phases that lead to 3 phase motor as the main motor coupled with a 3 phase delta motor which is given DC voltage as a load, while for current and voltage measurement using current transformers and voltage transformers are then analyzed with Data Acquisition System (DAS). On the current vs power of the 0.014 Henry inductor, the load is 0 to 80 VDC averaging 782 mA of current. At a load of 0 to 80 VDC shows a power of 299 watts.
PyChart – A Python module for analysis and visual view of 2D/3D Charts
Authors: Nedelcu D , Latinovic T
Published: February 2021

The paper describes the PyChart module (aimed at analysis and visual view of 2D/3D Charts), which was created with the help of free and Open Source resources, using Python as a programming language and wx.Python as a graphical user interface toolkit. The chart data is imported from a Excel/CSV file with a template structure and is drawn in the PyChart module as XY or XYZ curves similar with Excel scatter with smooth lines and markers style. The main functions of the charts are activated using the toolbar. The module is provided with zooming instruments (fit, pan, zoom in, zoom out), cubic spline curves interpolation, chart intersection with constant X, Y or Z values, visual follow of the 2D chart points to view coordinates, export of data in Windows Clipboard, Excel or Microsoft Word format and saving the chart as a image file.
Spatial Mapping of Diphtheria Vulnerability Level in East Java, Indonesia, using Analytical Hierarchy Process – Natural Break Classification
Authors: Fariza A , Basofi A , Aryani M D
Published: February 2021

Diphtheria is a serious infectious disease induced by the Corynebacterium Diphtheriae bacteria and often causes outbreaks (extraordinary events) in various regions. Based on data from the Ministry of Health, East Java is the biggest benefactor to diphtheria cases in Indonesia. Diphtheria cases in East Java tend to increase, especially in 2018 there were 753 diphtheria cases in 38 districts. Efforts made to prevent, treat, and control diphtheria outbreaks by the government are to analyze the level of susceptibility to diphtheria. This paper proposes a new approach to analyze the level of diphtheria susceptibility using the analytical hierarchy process (AHP) and natural breaks classification in East Java Province, Indonesia. AHP method is used to obtain diphtheria susceptibility values based on seven criteria, such as the number of sufferers, number of deaths, DPT 1, DPT 2, DPT 3 immunization, population density, and humidity. Natural break classification is used to classify the vulnerability values from AHP into three levels of vulnerability, consisting of low, medium, and high. The results of the grouping are displayed in the form of spatial mapping in the form of a web-based geographic information system (web-GIS) on the determination of the diphtheria vulnerability level using the AHP-natural breaks classification. The GVF evaluation for 2016, 2017, and 2018 are respectively 0.66, 0.67, and 0.65 (more than 0.5), which means that the proposed method achieved accurate and significant classification. Spatial-temporal analysis for 2013-2018 also achieves accurate and significant with a GVF value of 0.77. The spatial-temporal analysis can predict the high potential for vulnerability.
Design and Deployment of Fixture on Assembly Line to Improve Productivity
Authors: Aphale S , Nandurdikar V , Desale S
Published: February 2021

In this research, fixture was designed and implemented on assembly line to improve ergonomics along with reducing the required time and manpower. It reduced the required manpower in half and subsequently led improvement the productivity. Providing ease in operation, fixture significantly reduced fatigue to the workers. The aim of this paper was to design and development of fixture for engine door assembly. The problem with assembly was analysed and fixture is proposed to tackle the key issues. To eliminate traditional trial and error approach, the fixture was designed using CAFD along with FEA validation. The proposed fixture manufactured and deployed in current assembly line. It improves total profitability and quality of process by achieving significant reduction of 40% in assembly time. Prior to fixture, time needed for assembly was 24 minutes. After the fixture, this assembly time reduces to 14.4 minutes i.e. 40% reduction is observed.
To till or not to till in a temperate ecosystem? Implications for climate change mitigation
Authors: Cooper H V , Sjögersten S , Lark R M , Mooney S J
Published: February 2021

The management of agricultural soils affect the composition and scale of their greenhouse gas (GHG) emissions. There is conflicting evidence on the effect of zero-tillage on carbon storage and GHG emissions. Here we assess the effects of zero-tillage over a range of time frames (1–15 years) on carbon storage and GHG release and their controls in the UK Net global warming potential was 30% lower under zero-tillage systems, due to lower carbon dioxide fluxes, with the greatest impacts after longer periods of zero-tillage management. Simultaneously, in zero-tillage systems, soil carbon stocks and the proportion of sequestered recalcitrant carbon increased while the temperature sensitivity of soil respiration decreased with time, compared to conventionally soils. We conclude that zero-tillage could play a crucial role in both reducing GHG emissions and at the same time increase soil carbon sequestration, therefore contributing to mitigate against climate change. Our findings are particularly important in the context of designing new policies (for example the Environmental Land Management Schemes in the UK) that ensure the sustainability of agricultural production in a changing climate.