A Hierarchical Restoration Mechanism for Distribution Networks Considering Multiple Faults

Service restoration of distribution networks in contingency situations is one of the highly investigated and challenging problems. In the conventional service restoration method, utilities reconfigure the topological structure of the distribution networks to supply the consumer load demands. However, the advancements in renewable distributed generations define a new dimension for developing service restoration methodologies. This paper proposes a hierarchical service restoration mechanism for distribution networks in the presence of distributed generations and multiple faults. The service restoration problem is modeled as a complicated and hierarchical program. The objectives are to achieve the maximization of loads restored with minimization of switch operations while simultaneously satisfying grid operational constraints and ensuring a radial operation configuration. We present the service restoration mechanism, which includes the dynamic topology analysis, matching isolated islands with renewable distributed generations, network reconfiguration, and network optimization. A new code scheme that avoids feasible solutions is applied to generate candidate solutions to reduce the computational burden. We evaluate the proposed mechanism on the IEEE 33 and 69 systems and report on the collected results under multitype fault cases. The results demonstrate the importance of the available renewable distributed generations in the proposed mechanism. Moreover, simulation results verify that the proposed mechanism can obtain reasonable service restoration plans to achieve the maximization of loads restored and minimization of switching operations under different faults.

Restoring SAR images using Effective Image Restoration Approach

Landsat 7 Enhanced Thematic Mapper Plus satellite images presents an important data source for many applications related to remote sensing. An effective image restoration method is proposed to fill the missing information in the satellite images. The segmentation of satellite images to find the SLIC Super pixels and then to find the image Segments. The Boundary Reconstruction is performed using Edge Matching to find the area of the missing region. Peak Signal to Noise Ratio and Root Mean Square Error using with boundary reconstruction and without boundary reconstruction to evaluate the quality and the error rate of the satellite images. The results show the capability to predict the missing values accurately in terms of quality, time without need of external information.The values for PSNR has changed from 25 to 90 and RMSE has changed from 180 to 4 in Red Channel of an image.This indicates that quality of the image is high and error rate is less.

T2FRF Filter: An Effective Algorithm for the Restoration of Fingerprint Images

Images captured in dim light are hardly satisfactory and increasing the International Organization for Standardization (ISO) for a short duration of exposure makes them noisy. The image restoration methods have a wide range of applications in the field of medical imaging, computer vision, remote sensing, and graphic design. Although the use of flash improves the lighting, it changed the image tone besides developing unnecessary highlight and shadow. Thus, these drawbacks are overcome using the image restoration methods that recovered the image with high quality from the degraded observation. The main challenge in the image restoration approach is recovering the degraded image contaminated with the noise. In this research, an effective algorithm, named T2FRF filter, is developed for the restoration of the image. The noisy pixel is identified from the input fingerprint image using Deep Convolutional Neural Network (Deep CNN), which is trained using the neighboring pixels. The Rider Optimization Algorithm (ROA) is used for the removal of the noisy pixel in the image. The enhancement of the pixel is performed using the type II fuzzy system. The developed T2FRF filter is measured using the metrics, such as correlation coefficient and Peak Signal to Noise Ratio (PSNR) for evaluating the performance. When compared with the existing image restoration method, the developed method obtained a maximum correlation coefficient of 0.7504 and a maximum PSNR of 28.2467dB, respectively.

Restoration of 18th century Chinese album

Цель данного исследования — познакомить специалистов, занимающихся изучением и реставрацией произведений китайской живописи, с опытом, полученным в Государственном Эрмитаже. В процессе изучения текстов «Альбома рисунков. Путешествие императора Цяньлуна на юг Китая» хранителем К.Ф. Самосюк была установлена дата его создания — 1751–1758 годы. Альбом с китайской живописью был исследован всесторонне: проведены физико-химические и биологические исследования, которые позволили определить методику его реставрации. В России мало информации о реставрации альбомов такого рода. Исследование и реставрация китайской живописи осложняется хрупкостью материалов — бумаги и шелка, а также утонченностью техники живописи, поэтому были выбраны неразрушающие методы исследования без взятия проб. Рассматривались также этические проблемы. Были применены физический, химический и биологический анализы для определения подходящего метода реставрации. Биологические исследования подтвердили необходимость замены старых, обветшавших страниц альбома новыми. Для реставрации и сохранения альбома были использованы традиционные китайские методы реставрации и собственный опыт. Об исследовании и реставрации китайской живописи и каллиграфии, помещенных в альбомы, не так много информации. Наряду с другими источниками впервые в отечественной практике было использовано «Иллюстрированное руководство по монтированию китайской каллиграфии и живописи» Янь Гуйжуна, 2013. В статье также рассматривается проблема адаптации альбомов с живописью и каллиграфией к новым требованиям хранения и экспонирования графики. Изменение исторической формы монтирования листов с изображениями было вызвано сильным разрушением конструкции альбома. Новая форма хранения позволила выставлять альбом отдельными листами на различных тематических выставках с возможностью их ротации на экспозиции. В данной статье показан логический ход выбора методики реставрации, основанный на результатах исследований памятника и сочетании традиционных и современных методов реставрации. The aim of the article is to share our experience of restoring the Album of Drawings. The Emperor Qian Long’s Tour of Inspection to Southern China. Curator K.F. Samosyuk has dated the album to 1751–1758. There is little information in Russia on restoring albums of this kind. Restoration of painting on paper and silk is complicated by the fragility of the support material and painting technique; we therefore chose non – destructive research methods without taking samples. Ethical problems were also considered. For the first time we used physical, chemical and biological analysis to determine the appropriate restoration method. Biological research led us to replace old, faded album pages with new ones. We then used traditional Chinese restoration methods and our own experience to restore and preserve the album. Along with other sources, for the first time in Russia, Yan Guirong’s Illustrated Instructions for the Mounting of Chinese Calligraphy and Painting, 2013 was used. The key factor, though, was the experience we gained during research secondments at Shanghai Museum. We also examine the problem of adapting painting and calligraphy albums to new requirements for the preservation and exhibiting of graphic art. Historically, album pages with illustrations were mounted in pairs and glued together. Because of the album’s severe state of deterioration we decided to mount the pages on separate sheets. This new form of preservation has enabled separate pages from the album to be shown at differently – themed exhibitions and for rotation to take place. The article shows the logical process involved in choice of restoration method based on our research findings and a combination of traditional and modern restoration methods. Chinese painting, calligraphy, album, Chinese paper, Chinese silk, conservation, restoration, physical and chemical research, biological research, exhibiting, oriental painting, State Hermitage Museum

Research and Application of Ancient Chinese Pattern Restoration Based on Deep Convolutional Neural Network

In recent years, deep learning, as a very popular artificial intelligence method, can be said to be a small area in the field of image recognition. It is a type of machine learning, actually derived from artificial neural networks, and is a method used to learn the characteristics of sample data. It is a multilayer network, which can learn the information from the bottom to the top of the image through the multilayer network, so as to extract the characteristics of the sample, and then perform identification and classification. The purpose of deep learning is to make the machine have the same analytical and learning capabilities as the human brain. The ability of deep learning in data processing (including images) is unmatched by other methods, and its achievements in recent years have left other methods behind. This article comprehensively reviews the application research progress of deep convolutional neural networks in ancient Chinese pattern restoration and mainly focuses on the research based on deep convolutional neural networks. The main tasks are as follows: (1) a detailed and comprehensive introduction to the basic knowledge of deep convolutional neural and a summary of related algorithms along the three directions of text preprocessing, learning, and neural networks are provided. This article focuses on the related mechanism of traditional pattern repair based on deep convolutional neural network and analyzes the key structure and principle. (2) Research on image restoration models based on deep convolutional networks and adversarial neural networks is carried out. The model is mainly composed of four parts, namely, information masking, feature extraction, generating network, and discriminant network. The main functions of each part are independent and interdependent. (3) The method based on the deep convolutional neural network and the other two methods are tested on the same part of the Qinghai traditional embroidery image data set. From the final evaluation index of the experiment, the method in this paper has better evaluation index than the traditional image restoration method based on samples and the image restoration method based on deep learning. In addition, from the actual image restoration effect, the method in this paper has a better image restoration effect than the other two methods, and the restoration results produced are more in line with the habit of human observation with the naked eye.

Research on restoration method of nuclear pulse current signal of semiconductor detector based on artificial neural networks

The charge pulse generated by semiconductor detector caused by nuclear event carries nuclide and nuclear reaction information, but the amplified charge pulse amplitude is obviously weak and the noise is so large. Aiming at the difficulty of obtaining the charge signal pulse generated by the detector, a method for recovering the nuclear pulse current signal of semiconductor detector is proposed. Pulse recovery is divided into two parts: pulse shape recovery and pulse amplitude recovery. Point at the pulse shape, a shape recognition network of nuclear pulse current signal based on deep learning is proposed. For pulse amplitude,it can be obtained by Mexican straw hat wavelet forming algorithm. This algorithm can eliminate the baseline fluctuation caused by pulse stacking. The proposed shape recognition network of nuclear pulse current signal is composed of classifier and regressor. The classifier is used to judge whether the data contains a complete rising edge. The data containing the complete rising edge is sent to the regressor for prediction, so as to obtain the parameters related to the current pulse shape. The precision, recall and F-Measure of the classifier in classifying the test set are 98.88%, 98.05% and 98.33%, respectively. The average absolute error of the regressor in predicting the parameters related to the current pulse shape is about 9 ns. The experimental results show that the proposed method can recover the shape and amplitude of the current signal.

Role of Restored Underwater Images in Underwater Imaging Applications

Underwater images are extremely sensitive to distortion occurring in an aquatic underwater environment, with absorption, scattering, polarization, diffraction and low natural light penetration representing common problems caused by sea water. Because of these degradation of quality, effectiveness of the acquired images for underwater applications may be limited. An effective method of restoring underwater images has been demonstrated, by considering the wavelengths of red, blue, and green lights, attenuation and backscattering coefficients. The results from the underwater restoration method have been applied to various underwater applications; particularly, edge detection, Speeded Up Robust Feature detection, and image classification that uses machine learning. It has been shown that more edges and more SURF points can be detected as a result of using the method. Applying the method to restore underwater images in image classification tasks on underwater image datasets gives accuracy of up to 89% using a simple machine-learning algorithm. These results are significant as it demonstrates that the restoration method can be implemented on underwater system for various purposes.

ON PSYCHOTHERAPEUTIC TREATMENT OF PHYSICAL TRAUMA CONSEQUENCES IN GESTALT APPROACH PERSPECTIVE. AUTHOR'S METHOD OF MICRO-MOTION REACTIONS RESTORATION (MRR)

Физическая травма и лечение ее последствий в основном находится в сфере задач специалистов-медиков. Но вряд ли мы можем себе представить, что какое-либо физическое воздействие может привести только к телесному повреждению. Фактически, человек сталкивается с рядом психологических последствий, начиная ограничениями, вызванными болью, заканчивая тонкими изменениями в жизненной ситуации и отношениях. Таким образом, можно считать, что пациенты с последствиями физических травм могут успешно получать помощь и у психологов. В статье предлагается и описывается метод восстановления микродвигательных реакций (ВМР). Этот метод основан на принципе дифференциации микродвигательных реакций. В нашем подходе мы используем концепцию «незавершенных дел», происходящую из гештальт-терапии. Метод ВМР позволяет развивать различные разнонаправленные и противоречивые импульсы и реакции, которые были временно остановлены в эпизоде перенесенной физической травмы. Такой вид работы дает каждому незавершенному двигательному импульсу, рожденному во время травмы, полностью развиться. В результате восстанавливается вера в спонтанность движений и увеличивается резилентность пациента. Также в статье представлены три клинических случая, демонстрирующих возможности использования метода ВМР в психотерапевтической работе. Physical trauma and treatment of its consequences basically lies in the domain of medical specialists. But we would hardly imagine that some physical injury may result in bodily impairment only. As a matter of fact, one encounters with a number of psychological consequences from restriction caused by pain to subtle changes in life situation and relationships. Thus, we can consider that patients with physical trauma consequences may be also successfully treated by psychologists. Micro-motion reactions restoration method (MRR) is suggested and described in the article. This method is based on the principle of micro-motion reactions differentiation. In our approach we are using the concept of “unfinished tasks” which originates from Gestalt therapy. The MRR method enables development of various multidirectional and contradictory impulses and reactions that had been temporarily stalled in the episode of past physical trauma. That type of work permits each unfinished motion impulse born during trauma to develop completely. As a result, trust in spontaneity of movement is restored and one’s resilience grows. Also three clinical cases are presented in the article to demonstrate the possibilities of using the MRR method in psychotherapeutic work.