Automatic Arrangement Research Articles

Review on Security Range Perception Methods and Path-Planning Techniques for Substation Mobile Robots

The use of mobile robots in substations improves maintenance efficiency and ensures the personal safety of staff working at substations, which is a trend in the development of technologies. Strong electric and solid magnetic fields around high-voltage equipment in substations may lead to the breakdown and failure of inspection devices. Therefore, safe operation range measurement and coordinated planning are key factors in ensuring the safe operation of substations. This paper first summarizes the current developments that are occurring in the field of fixed and mobile safe operating range sensing methods for substations, such as ultra-wideband technology, the two-way time flight method, and deep learning image processing algorithms. Secondly, this paper introduces path-planning algorithms based on safety range sensing and analyzes the adaptability of global search methods based on a priori information, local planning algorithms, and sensor information in substation scenarios. Finally, in view of the limitations of the existing range awareness and path-planning methods, we investigate the problems that occur in the dynamic changes in equipment safety zones and the frequent switching of operation scenarios in substations. Furthermore, we explore a new type of barrier and its automatic arrangement system to improve the performance of distance control and path planning in substation scenarios.

Exploring the innovation of visual communication design style based on artificial intelligence technology

Abstract By exploring the application of artificial intelligence technology in visual communication design, the design efficiency and innovation of visual communication can be effectively improved. In order to automatically arrange graphic language in visual communication design, a novel algorithm is proposed in this research, together with a functional model of artificial intelligence technology design. The minimum and maximum values of the number of orchestrated pages are used as the objective orchestration function for calculating the display size of buffer images in visual communication design. In visual communication design, an ant colony method is used to determine where graphics should be displayed best, and ASM semantics is used to describe the graphics language. The proposed algorithm is programmed and runs to achieve the innovation and development of visual communication design style by using the parallel selection mark to describe the graphic language and realize the automatic arrangement. The experimental results show that the visual saturation obtained based on artificial intelligence technology can reach up to 97%, the mean value of user satisfaction is 7.789, and the TGB consideration characteristics are evenly distributed. It can be seen that an innovative visual thinking mode can convey novel design concepts in visual communication design and optimize the visual communication design effect.

INTRODUCTION OF GENETIC ALGORITHMS INTO THE INTERACTIVE PLANNING SUPPORT SYSTEM FOR ARRANGEMENT OF TEMPORARY HOUSING UNITS USING BIM AND PROMOTING AUTOMATION OF THE SYSTEM

In this study, we improved the developed automatic arrangement program for the site planning of emergency temporary housing that runs on BIM mainly for the following two points.

Research on Automatic Dance Generation System Based on Deep Learning

How to model the mapping relationship between music and dance so that the model can automatically generate the corresponding dance based on the rhythm and style of music is the most important issue to be resolved in the automatic arrangement of music and dance. Due to the flexible movement of limbs and the change in camera angle, the visual information of various parts of the human body changes drastically in practical applications, posing significant difficulties in the generation of high-resolution target dance images. Based on deep learning, this paper proposes a two-way voluntary neural network (TWCNN) dance automatic generation system (DL). The long short-term memory (LSTM) network model is an action generation sub-network, which generates each frame of action based on the extracted high-level music features and the bottom-level action features from the previous moment. The recognition accuracy of the proposed algorithm is 12.4 percent and 6.8 percent better than that of the conventional depth CNN, according to the test results.

Increasing HPV Vaccination Rates Using Text Reminders: An Integrative Review of the Literature.

Human papillomavirus (HPV) is the most common sexually transmitted infection among youth in the United States. Although HPV vaccinations are readily available, HPV immunizations remain lower than target rates. The purpose of this review is to consider text message reminder system efficacy to improve HPV vaccination rates in eligible children. A literature review was conducted using Cumulative Index to Nursing and Allied Health Literature and PubMed databases to search articles illustrating the effect of text message reminder systems. Research is primarily conclusive of improved HPV vaccination rates through text message reminder systems, indicating the need for practice guidelines directed at text message delivery and text message content. This integrative review synthesizes and highlights available literature on implementing text message reminder systems to improve HPV vaccination rates. Once the text message reminder system is in place, automatic arrangement of preventive care service is hassle-free for practices.

Automatic Arrangement of Sports Dance Movement Based on Deep Learning.

Sports dance is a new form of sports that integrates sports, dance, music, and other elements. The core content of “dance” is an important carrier for athletes to display their body art. This article aims to study the automatic arrangement of sports dance based on deep learning. This article first introduces the development process of deep learning. As the latest research direction developed from artificial neural network technology in machine learning, deep learning has attracted widespread attention from the society. And then proposing a shallow regression model based on deep learning, a convolutional neural network based on deep learning, and an offline sorting regression model, given the general process of deep learning, then, based on the clustering algorithm, the deep learning was researched, and the sport dance movement arrangement was analyzed based on the deep learning. The experimental results of this article show that deep learning can effectively enhance the artistic ability of automatic choreography in sports dance and increase the accuracy of dance movements by 80%. At the same time, on the basis of deep learning, the practical ability is strengthened on the basis of consolidating theory, to further improve one's own business ability and educational technology level, actively absorb advanced teaching methods, and earnestly delve into reasonable teaching methods. It is also used in curriculum training practice to actively gain insight into new development trends in educational methods and skills, to enhance the artistic creativity of students' arrangements.

Research on Autoarrangement System of Accompaniment Chords Based on Hidden Markov Model with Machine Learning

Accompaniment production is one of the most important elements in music work, and chord arrangement is the key link of accompaniment production, which usually requires more musical talent and profound music theory knowledge to be competent. In this article, the machine learning model is used to replace manual accompaniment chords’ arrangement, and an automatic computer means is provided to complete and assist accompaniment chords’ arrangement. Also, through music feature extraction, automatic chord label construction, and model construction and training, the whole system finally has the ability of automatic accompaniment chord arrangement for the main melody. Based on the research of automatic chord label construction method and the characteristics of MIDI data format, a chord analysis method based on interval difference is proposed to construct chord labels of the whole track and realize the construction of automatic chord labels. In this study, the hidden Markov model is constructed according to the chord types, in which the input features are the improved theme PCP features proposed in this paper, and the input labels are the label data set constructed by the automated method proposed in this paper. After the training is completed, the PCP features of the theme to be predicted and improved are input to generate the accompaniment chords of the final arrangement. Through PCP features and template-matching model, the system designed in this paper improves the matching accuracy of the generated chords compared with that generated by the traditional method.

Artik: Articulation and Dynamics from Structural Pattern Analysis

Automatic arrangement is the problem of transforming an input score into a full orchestration, e.g. realized with samples. A subproblem, on which arrangement depends, is to establish the dynamic levels of individual parts, their articulations, and how parts are to align. A new kind of structural analysis is described: the interpretation of music means the delineation of existing structure, so that the performance synchronizes with the music. These ideas are realized in a system that creates fully articulated string orchestra renditions of concerti by Bach and Vivaldi. While still at an early stage, the system demonstrates how structural analysis can be deployed to solve complex musical tasks. We conclude with some speculations about the future of musical practices as suggested by this research.

Identification of Prognostic Factors and Predicting the Therapeutic Effect of Laser Photocoagulation for DME Treatment

Diabetic retinopathy is among the most severe complications of diabetes, most often leading to rapid and irreversible vision loss. The laser coagulation procedure, which consists of applying microburns to the fundus, has proven to be an effective method for treating diabetic retinopathy. Unfortunately, modern research does not pay enough attention to the study of the arrangement of microburns in the edema area—One of the key factors affecting the quality of therapy. The aim of this study was to propose a computational decision-making support system for retina laser photocoagulation based on the analysis of photocoagulation plans. Firstly, we investigated a set of prognostic factors based on 29 features describing the geometric arrangement of coagulates. Secondly, we designed a technology for the intelligent analysis of the photocoagulation plan that allows the effectiveness of the treatment to be predicted. The studies were carried out using a large database of fundus images from 108 patients collected in clinical trials. The results demonstrated a high classification accuracy at a level of over 85% using the proposed prognostic factors. Moreover, the designed technology proved the superiority of the proposed algorithms for the automatic arrangement of coagulates, predicting a 99% chance of a positive therapeutic effect.

Bas‐relief layout arrangement via automatic method optimization

AbstractIt is significant to achieve automatic arrangement for bas‐relief layout which can be noticeably more efficient than the time‐consuming manual process. In fact, nearly none work has been reported in terms of bas‐relief layout arrangement. In this paper, we propose a novel approach to tackle this problem. Specifically, we first identify the evaluation indicators to account for different aesthetic factors, and model the goodness of each indicator. We then cast the bas‐relief layout as a combinatorial optimization problem based on those evaluation indicators and a geometric mean model. The contribution of this paper is to propose an objective function for bas‐relief layout and apply simulated annealing algorithm for optimization. Experiments show that our method is effective, in terms of layout arrangement for bas‐relief generation. In addition, this method can synthesize a few models arrangement and investigate which evaluation indicators will affect the aesthetic perception of the bas‐relief.

Study on Automatic Arrangement Algorithm for Tower Cranes with Applying Lifting Limit Axis

Recently construction projects are becoming more high-rise, and for this reason, efficient operation of tower crane is very important. Therefore, we conducted a study on the development of automatic arrangement algorithm for the efficient operation of tower crane. In this study, a new concept, the 'lifting limit axis' concept was applied to develop automatic arrangement (optimal arrangement) algorithm of tower crane. Through this process, the 'three-dimensional figure' was created and the research was carried out considering the weight of the material, the working radius of the tower crane, and the lifting capacity. In this study, we carried out the study in three dimensions to apply the concept of ‘lifting limit axis', which is different from the existing studies conducted in two dimensions. This is not simply a three-dimensional and two-dimensional difference. The reason for this is that the lifting work can be considered by applying the change in the lifting capacity according to the working radius of the tower crane in three dimensions. Therefore, it is a concept that enables highly efficient and stable lifting work. In this study, we developed an algorithm by applying this concept of 'lifting limit axis', which is divided into four steps. The first step is information input, the second step is identifying the intersection area where the tower crane can be arranged, the third step is to arrange the 'three-dimensional figure' and the last step is to select the minimum-cost simulation out of a number of simulation. This algorithm provides the basic guidelines for tower crane arrangement through the above process. In this study, we applied the new concept of 'lifting limit axis’. Therefore, continuous follow-up research is essential, and it is expected that this will lead to an efficient lifting plan of tower crane.

Design of an illumination system for high numerical aperture anamorphic extreme ultraviolet projection lithography.

The illumination system design for high numerical aperture (NA) anamorphic objectives is a key challenge for extreme ultraviolet lithography. In this paper, a reverse design method of the off-axis mixed-conic-surface-type relay system and an automatic arrangement method of field facets are proposed to design a high NA anamorphic illumination system. The two off-axis relay mirrors are fitted into different conic surfaces based on the conjugation of the mask plane and field facet and that of the illumination exit pupil and pupil facet. To eliminate ray obscuration between neighboring field facets, the field facets are automatically arranged according to the distances that are determined by the relative tilt angles of neighboring field facets under the current illumination mode. The proposed methods are applied in the design of an illumination system matching the NA0.60 anamorphic objective. Simulation results show that the uniformity of the scanning energy distribution can reach 99% on the mask plane under different illumination modes.

Key manufacturing technologies of the CFETR 1/8 vacuum vessel sector mockup

• Key technology types involved in CFETR 1/8 V V sector model. • Methods and routes of key technologies of CFETR 1/8 V V sector model. • Current manufacturing progress of CFETR 1/8 V V sector model. This paper introduces key technologies and main advances in the development of the 1/8 vacuum vessel (VV) sector mockup of China fusion engineering test reactor (CFETR). The contour accuracy of each VV shell is controlled within ±2 mm through hot forming, solution treatment, and correction of each hyperboloid shell, and cold forming of the single-curved shell. The welding structure between the 1/8 sectors of CFETR VV on site is simulated by using the welding structure between two 1/16 VV sectors as a model. The narrow-gap TIG (NG-TIG) welding process is designed and explored in the sector welding of the 1/32 VV sector. Electron beam (EB) welding of the port stub is completed, and the weld quality meets the design requirement. The results of phased array ultrasonic testing (PAUT) technology reveal that the testing process meets RCC-MR technical requirements and solves the problems of full volume coverage (i.e., missed detection) and signal-to-noise ratio (i.e., misjudgment) of austenitic stainless steel welds. The automatic ray film arrangement trolley can achieve the automatic arrangement of the X-ray film between double shells when the VV is welded on-site. The measurement solution of three-dimensional complex space solves the problem of collimation positioning measurement during the welding, machining, and assembly of the 1/8 VV sector. The results of the study on the virtual assembly and reverse machining technology provide guidance for the actual assembly of the 1/8 VV sector. Finally, measurement and machining of the allowance are realized to solve the problem of numerical control machining of workpieces without a machining datum.

CLUSTERING AND INDEXING OF MULTIPLE DOCUMENTS USING FEATURE EXTRACTION THROUGH APACHE HADOOP ON BIG DATA

Bigdata is a challenging field in data processing since the information is retrieved from various search engines through internet. A number of large organizations, that use document clustering,fails in arranging the documents sequentially in their machines. Across the globe, advanced technologyhas contributed to the high speed internet access. But the consequences of useful yet unorganized information in machine files seemto be confused in the retrieval process. Manual ordering of files has its own complications. In this paper, application software like Apache Lucene and Hadoop have taken a lead towards text mining for indexing and parallel implementation of document clustering. In organizations, it identifies the structure of the text data in computer files and its arrangement from files to folders, folders to subfolders, and to higher folders. A deeper analysis of document clustering was performed by considering various efficient algorithms like LSI, SVD and was compared with the newly proposed updated model of Non-Negative Matrix Factorization. The parallel implementation of hadoopdevelopedautomatic clusters for similar documents. MapReduce framework enforced its approach using K-means algorithm for all the incoming documents. The final clusters were automatically organized in folders using Apache Lucene in machines. This model was tested by considering the dataset of Newsgroup20 text documents. Thus this paper determines the implementation of large scale documents using parallel performance of MapReduce and Lucenethat generate automatic arrangement of documents, which reduces the computational time and improves the quick retrieval of documents in any scenario.

A data security exchange method based on automatic arrangement

With the increasingly fierce attack and defense of network security, the security system needs to adopt the coordination of multiple functional modules to improve the security of the system. In practical application, web service protocol transmission and restful specification transmission can be used to ensure the security of data exchange. However, when the two protocols are used together (two security modules), it will cause great problems and workload to the security operation and maintenance. This paper proposes that the security function based on choreography which can distinguish the security operation sequence or script corresponding to the next step according to the protocol of the data package, and arranges the web service protocol and restful protocol together through script and engine to automatically coordinate work, so as to reduce the pressure of security operation and maintenance.

Camera Arrangement in Visual 3D Systems using Iso-disparity Model to Enhance Depth Estimation Accuracy

In this paper we address the problem of automatic arrangement of cameras in a 3D system to enhance the performance of depth acquisition procedure. Lacking ground truth or a priori information, a measure of uncertainty is required to assess the quality of reconstruction. The mathematical model of iso-disparity surfaces provides an efficient way to estimate the depth estimation uncertainty which is believed to be related to the baseline length, focal length, panning angle and the pixel resolution in a stereo vision system. Accordingly, we first present analytical relations for fast estimation of the embedded uncertainty in depth acquisition and then these relations, along with the 3D sampling arrangement are employed to define a cost function. The optimal camera arrangement will be determined by minimizing the cost function with respect to the system parameters and the required constraints. Finally, the proposed algorithm is implemented on some 3D models. The simulation results demonstrate significant improvement (up to 35%) in depth uncertainty in the achieved depth maps compared with the traditional rectified camera setup.

Automated Tilt Conveyor for Cylinder Head

Cylinder head is one of the main components of an Automobile Engine. In machine shop there are three bays having a machines in which the cylinder head is machined. Makino machine is one of them where the operations like roughing, semi finish; drilling and tapping are carried out. The component has to be loaded by use of a manipulator in a vertical position into the machine such that its rocker face should be facing the operator. So, the component coming from the previous operation through a conveyor with combustion face on top should be tilted to 90 degree such that its rocker face will be facing the operator in a horizontal position. This tilting process has been carried out manually which results in damage of valve guide and valve seat of a cylinder head. This leads to reduction in quality and productivity and also it results in increased operator fatigue since the cylinder head weighs heavy. There is also a chance that when tilting the component manually the component may fall down and hurts operator which results in increased value of effort and ergonomic index. To overcome this problem our research work a modification is made in the conveyor of the makino machine with a low cost automatic arrangement provided for cylinder head tilting purpose.

Discharge and pre-rehabilitation under bankruptcy law and Islamic law: a boon or a bane?

Repeated calls for a reform of the bankruptcy laws in Malaysia resulted in the renaming of the Bankruptcy Act 1967 (BA 1967) to the Insolvency Act 1967 (IA 1967), which came into force on 6th October 2017. Among the changes made by the IA 1967 are provisions relating to an automatic discharge of bankruptcy and a pre-rehabilitation scheme. Islam prohibits the cancellation of debt since it denies the rightful party from making a claim – however, it does encourage a creditor to be lenient to a debtor. In considering the changes made to the bankruptcy law, this paper examines the provisions on bankruptcy discharge and pre-rehabilitation including the new provisions of automatic discharge and voluntary arrangement (VA). Data for this study comprises primary and secondary data from statutes, case reports, textbooks, and articles from both law and non-legal journals. This paper also analyses the Islamic law’s view of debt, discharge of debt and the concept of pre-rehabilitation. The data for the Islamic component consists of verses from the Holy Quran, Islamic traditions and teachings of Prophet Muhammad PBUH as well as articles from Islamic journals. The paper concludes by showing that VA is the only form of bankruptcy pre-rehabilitation, statutorily granted and available for debtors in Malaysia to avoid bankruptcy, and the introduction of automatic discharge facilitates a quick way out of debt for a bankrupt and enables him to start afresh. The findings also show that the principle of discharge under Islamic bankruptcy law is applicable to debtors who genuinely face hardship to pay their debts. Islam encourages creditors and debtors to enter into negotiation for the settlement of debt instead of the debtors being declared bankrupt due to the inability to pay their debts.

Анализ алгоритмов автоматической расстановки сущностей и построения связей

Анализ алгоритмов автоматической расстановки сущностей и построения связей

Light Optimization for Detail Highlighting

AbstractIn this paper we propose an effective technique for the automatic arrangement of spot lights and other luminaires on or near user‐provided arbitrary mounting surfaces in order to highlight the geometric details of complex objects. Since potential applications include the lighting design for exhibitions and similar installations, the method takes into account obstructing geometry and potential occlusion from visitors and other non‐permanent blocking geometry. Our technique generates the most appropriate position and orientation for light sources based on a local contrast maximization near salient geometric features and a clustering mechanism, producing consistent and view‐independent results, with minimal user intervention. We validate our method with realistic test cases including multiple and disjoint exhibits as well as high occlusion scenarios.