Stream Surface-Supported Fundamental Sheets Insertion Toward High-Quality Hex Meshing

2020 ◽  
Vol 20 (6) ◽  
Author(s):  
Rui Wang ◽  
Zhihao Zheng ◽  
Shuming Gao
Keyword(s):  
Linear System ◽  
Effective Means ◽  
Experimental Results ◽  
High Quality ◽  
Stream Surface ◽  
Geometric Quality

Abstract Converting a hex mesh into a fundamental mesh by inserting fundamental sheets is an effective means to improve the hex mesh’s quality near the boundary. However, the high-quality and automatic fundamental sheets insertion is still a problem. In this paper, a method is proposed to automatically generate fundamental sheets with the support of stream surfaces. By establishing a constrained integer linear system, the types of fundamental sheets to be inserted are determined effectively and optimally. By constructing discrete stream surfaces associated with the relevant geometric entities, the optimized positions of fundamental sheets are automatically determined. The experimental results show that the proposed method can automatically insert high-quality fundamental sheets and effectively improve the elements’ geometric quality of the hex mesh.

scholarly journals Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning

2019 ◽  
Vol 33 ◽  
pp. 6722-6729 ◽  
Author(s):  
Ziming Li ◽  
Julia Kiseleva ◽  
Maarten De Rijke
Keyword(s):  
Reinforcement Learning ◽  
State Of The Art ◽  
The State ◽  
Experimental Results ◽  
Imitation Learning ◽  
Local Optimum ◽  
Inverse Reinforcement Learning ◽  
High Quality ◽  
Overall Performance

The performance of adversarial dialogue generation models relies on the quality of the reward signal produced by the discriminator. The reward signal from a poor discriminator can be very sparse and unstable, which may lead the generator to fall into a local optimum or to produce nonsense replies. To alleviate the first problem, we first extend a recently proposed adversarial dialogue generation method to an adversarial imitation learning solution. Then, in the framework of adversarial inverse reinforcement learning, we propose a new reward model for dialogue generation that can provide a more accurate and precise reward signal for generator training. We evaluate the performance of the resulting model with automatic metrics and human evaluations in two annotation settings. Our experimental results demonstrate that our model can generate more high-quality responses and achieve higher overall performance than the state-of-the-art.

Impact of layup rate on the quality of fiber steering/cut-restart in automated fiber placement processes

2015 ◽  
Vol 22 (2) ◽  
pp. 165-173 ◽  
Author(s):  
Jihua Chen ◽  
Teresa Chen-Keat ◽  
Mehdi Hojjati ◽  
AJ Vallee ◽  
Marc-Andre Octeau ◽  
...  
Keyword(s):  
Compaction Pressure ◽  
Experimental Studies ◽  
Process Condition ◽  
Processing Parameters ◽  
Experimental Results ◽  
High Quality ◽  
Fiber Placement ◽  
Automated Fiber Placement

AbstractDeveloping reliable processes is one of the key elements in producing high-quality composite components using an automated fiber placement (AFP) process. In this study, both simulation and experimental studies were carried out to investigate fiber steering and cut/restart under different processing parameters, such as layup rate and compaction pressure, during the AFP process. First, fiber paths were designed using curved fiber axes with different radii. Fiber placement trials were then conducted to investigate the quality of the steered fiber paths. Furthermore, a series of sinusoidal fiber paths were fiber placed and investigated. Moreover, a six-ply laminate with cut-outs in it was manufactured in the cut/restart trials. The accuracy of the fiber cut/restart was compared at different layup rates for both one- and bi-directional layups. Experimental results show that it was possible to layup steered fiber paths with small radii of curvature (minimum 114 mm) designed for this study when the proper process condition was used. It was observed from the cut/restart trials that the quality of tow cut was independent of layup speed; however, the accuracy of tow restart was related to the layup speed. The faster the layup speed, the less accurate was the tow restart.

scholarly journals A low-power and high-quality implementation of the discrete cosine transformation

2007 ◽  
Vol 5 ◽  
pp. 305-311 ◽  
Author(s):  
B. Heyne ◽  
J. Götze
Keyword(s):  
Computational Complexity ◽  
Low Power ◽  
Experimental Results ◽  
Cordic Algorithm ◽  
Computationally Efficient ◽  
Discrete Cosine Transformation ◽  
High Quality ◽  
Cosine Transformation

Abstract. In this paper a computationally efficient and high-quality preserving DCT architecture is presented. It is obtained by optimizing the Loeffler DCT based on the Cordic algorithm. The computational complexity is reduced from 11 multiply and 29 add operations (Loeffler DCT) to 38 add and 16 shift operations (which is similar to the complexity of the binDCT). The experimental results show that the proposed DCT algorithm not only reduces the computational complexity significantly, but also retains the good transformation quality of the Loeffler DCT. Therefore, the proposed Cordic based Loeffler DCT is especially suited for low-power and high-quality CODECs in battery-based systems.

scholarly journals Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing

2017 ◽  
Author(s):  
Wei Wang ◽  
Xiang-Yu Guo ◽  
Shao-Yuan Li ◽  
Yuan Jiang ◽  
Zhi-Hua Zhou
Keyword(s):  
Large Scale ◽  
Experimental Results ◽  
Training Set ◽  
High Quality ◽  
Quality Label ◽  
Large Scale Data ◽  
Voluntary Workers ◽  
Scale Data

Crowdsourcing systems make it possible to hire voluntary workers to label large-scale data by offering them small monetary payments. Usually, the taskmaster requires to collect high-quality labels, while the quality of labels obtained from the crowd may not satisfy this requirement. In this paper, we study the problem of obtaining high-quality labels from the crowd and present an approach of learning the difficulty of items in crowdsourcing, in which we construct a small training set of items with estimated difficulty and then learn a model to predict the difficulty of future items. With the predicted difficulty, we can distinguish between easy and hard items to obtain high-quality labels. For easy items, the quality of their labels inferred from the crowd could be high enough to satisfy the requirement; while for hard items, the crowd could not provide high-quality labels, it is better to choose a more knowledgable crowd or employ specialized workers to label them. The experimental results demonstrate that the proposed approach by learning to distinguish between easy and hard items can significantly improve the label quality.

scholarly journals Using of «bubble sensors» to control the quality of sequencing by the Illumina / Solexa method

2021 ◽  
Vol 2086 (1) ◽  
pp. 012120
Author(s):  
V S Reznik ◽  
V A Kruglov ◽  
V V Davydov
Keyword(s):  
Dna Sequencing ◽  
Chemical Reactions ◽  
Flow Cell ◽  
Experimental Results ◽  
Modern World ◽  
High Quality ◽  
Parallel Sequencing ◽  
New Generation ◽  
Scientific Fields

Abstract In the modern world, sequencing is an integral part of medicine, biology and other scientific fields. The Illimina / Solexa method is a new generation method and relates to methods of mass parallel sequencing. One of the features of using this method is the sequential pumping of various chemicals through the flow cell in which the reaction occurs. For uniformity and high quality of DNA sequencing, it is necessary that the amount of gas in liquids be minimized. Because many it can adversely affect both during chemical reactions and at the stage of recording reaction results. This article will examine the sequencing system using the Illumina\Solexa method using bubble sensors. An algorithm was developed that periodically receives information from bubble sensors in a microfluidic tube. The information received is processed and allows at certain stages to report deviations from the normal conditions for sequencing. The experimental results are presented.

scholarly journals Peningkatan Akurasi Mesin Penerjemah Bahasa Inggris - Indonesia dengan Memaksimalkan Kualitas dan Kuantitas Korpus Paralel

2020 ◽  
Vol 7 (3) ◽  
pp. 471
Author(s):  
Herry Sujaini
Keyword(s):  
Poor Quality ◽  
Experimental Results ◽  
High Quality ◽  
Parallel Corpus ◽  
Translation Quality

<p class="Body">Korpus paralel memiliki peran yang sangat penting dalam mesin penerjemah statistik (MPS). Korpus paralel yang diperoleh berbagai sumber biasanya memiliki kualitas yang kurang baik, sedangkan kuantitas korpus paralel merupakan tuntutan utama bagi hasil penerjemahan yang baik. Penelitian ini bertujuan untuk mengetahui efek ukuran dan kualitas korpus paralel di MPS. Penelitian ini menggunakan metode <em>bilingual</em> <em>evaluation understudy</em> (BLEU) untuk mengklasifikasikan pasangan kalimat paralel sebagai kalimat berkualitas tinggi atau buruk. Metode ini diterapkan ke korpus paralel yang berisi 1,5 M pasangan kalimat Inggris-Indonesia paralel dan memperoleh 900K pasangan kalimat paralel berkualitas tinggi. Beberapa sistem MPS dengan berbagai ukuran korpus paralel mentah dan korpus berkualitas tinggi yang difilter dilatih dengan MOSES dan dievaluasi kinerjanya. Hasil percobaan yang dilakukan menunjukkan bahwa ukuran korpus paralel merupakan  faktor utama dalam kinerja terjemahan. Selain itu, kinerja terjemahan yang  lebih baik dapat dicapai dengan korpus berkualitas tinggi yang lebih kecil menggunakan metode filter berkualitas. Hasil eksperimen pada MPS bahasa Inggris-Indonesia menunjukkan bahwa dengan menggunakan 60% kalimat yang kualitas terjemahannya baik, kualitas terjemahan dapat meningkat sebesar 7,31%.</p><p class="Body"> </p><p class="Body"><em><strong>Abstract</strong></em></p><p class="Abstract"><em>The parallel corpus has a very important role in the statistical machine translator (SMT) system. The parallel corpus obtained by various sources usually has poor quality, while the quantity of parallel corpus is the main demand for good translation results. This study aims to determine the effect of the size and quality of parallel corpus at SMT. This study uses the bilingual evaluation understudy (BLEU) method to classify pairs of parallel sentences as high-quality or bad sentences. This method is applied to a parallel corpus containing 1.5 M parallel English-Indonesian sentence pairs and obtaining 900K pairs of high-quality parallel sentences. Some SMT systems with various sizes of raw parallel bodies and high-quality corpus filtered are trained with MOSES and evaluated for performance. The experimental results show that the size of the parallel corpus is a major factor in translation performance. In addition, better translation performance can be achieved with a smaller high-quality corpus using a quality filter method.The experimental results in the English-Indonesian SMT show that by using 60% of sentences whose translation quality is good, the quality of the translation can increase by 7.31%.</em></p><p class="Body"><em><strong><br /></strong></em></p>

scholarly journals Review of the Economic Influence of Mastitis in Ruminants

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Amanee Radhy M ◽  
◽  
Saba Thamer Mosa ◽  
Keyword(s):  
Breast Milk ◽  
Effective Means ◽  
High Quality ◽  
Wide Range ◽  
Prevalent Disease ◽  
Technical Properties ◽  
Economic Influence ◽  
Classic Form ◽  
Quality Of Milk

Mastitis is usually acommon and prevalent disease that is individual of the furthermostcollective and expensive diseases in the dairy manufacturing. In addition, breast milk directly affects the quality and quality of milk, with the technical properties and high quality present in milk, and indirectly the quality of milk. Management is considered one of the most effective means of controlling mastitis. Given the complex, multifunctional nature of mastitis, management encompasses a wide range of activities, among others, disease (clinical or semi-classic form), treatment of dry cows, prevention of transmission.

scholarly journals Genetic algorithm of optimizing the qualification of programmer teams

2021 ◽  
pp. 31-38
Author(s):  
A. A. Prihozhy ◽  
A. M. Zhdanouski
Keyword(s):  
Genetic Algorithm ◽  
Fitness Function ◽  
Combinatorial Problem ◽  
Point Of View ◽  
Experimental Results ◽  
Optimization Process ◽  
High Quality

The partitioning a set of professional programmers into a set of teams when a programming project specifies requirements to the competency in various programming technologies and tools is a hard combinatorial problem. The paper proposes a genetic algorithm, which is capable of finding competitive and high-quality partitioning solutions in acceptable runtime. The algorithm introduces chromosomes in such a way as to assign each programmer to a team, define the team staff and easily reconstruct the teams during optimization process. A fitness function characterizes each chromosome with respect to the quality of the programmers partitioning. It accounts for the average qualification of teams and the qualification of team best representatives on each of the technologies. The function recognizes the teams that meet all constraints on the project and are workable from this point of view. It is also capable of recognizing the teams that do not meet the constraints and are unworkable. The algorithm defines the genetic operations of selection, crossing and mutation in such a way as to move programmers from unworkable to workable teams, to increase the number of workable teams, to ex-change programmers among workable teams, to increase the competency of every workable team, and thus to maximize the teams overall qualification. Experimental results obtained on a set of programmers graduated from Belarus universities show the capability of the genetic algorithm to find good partitioning solutions, maximize the teams’ competency and minimize the number of unemployed programmers.

Influence of technology parameters of free-cutting steel continuous casting on the billet internal structure

2020 ◽  
Vol 76 (2) ◽  
pp. 139-142
Author(s):  
A. T. Kunakbaeva ◽  
A. M. Stolyarov ◽  
M. V. Potapova
Keyword(s):  
Regression Analysis ◽  
Continuous Casting ◽  
Internal Structure ◽  
Sulfur Content ◽  
Manganese Content ◽  
High Quality ◽  
Correlation And Regression Analysis ◽  
Cutting Steel ◽  
Continuously Cast

Free-cutting steel gains specific working properties thanks to the high content of sulfur and phosphorus. These elements, especially sulfur, have a rather high tendency to segregation. Therefore, segregation defects in free-cutting steel continuously cast billets can be significantly developed. The aim of the work was to study the influence of the chemical composition of freecutting steel and casting technological parameters on the quality of the macrostructure of continuously cast billets. A metallographic assessment of the internal structure of cast metal made of free-cutting steel and data processing by application of correlation and regression analysis were the research methods. The array of production data of 43 heats of free-cutting steel of grade A12 was studied. Steel casting on a five-strand radial type continuous casting machine was carried out by various methods of metal pouring from tundish into the molds. Metal of 19 heats was poured with an open stream, and 24 heats – by a closed stream through submerged nozzles with a vertical hole. High-quality billets had a cross-sectional size of 150×150 mm. The macrostructure of high-quality square billets made of free-cutting steel of A12 grade is characterized by the presence of central porosity, axial segregation and peripheral point contamination, the degree of development of which was in the range from 1.5 to 2.0 points, segregation cracks and strips – about 1.0 points. In the course of casting with an open stream, almost all of these defects are more developed comparing with the casting by a closed stream. As a result of correlation and regression analysis, linear dependences of the development degree of segregation cracks and strips both axial and angular on the sulfur content in steel and on the ratio of manganese content to sulfur content were established. The degree of these defects development increases with growing of sulfur content in steel of A12 grade. These defects had especially strong development when sulfur content in steel was of more than 0.10%. To improve the quality of cast metal, it is necessary to have the ratio of the manganese content to the sulfur content in the metal more than eight.

Experience of clinical testing of personal telemedicine system ‘Obereg’ for remote monitoring of patients in intensive care units

2020 ◽  
pp. 52-58 ◽  
Author(s):  
A. A. Eryomenko ◽  
N. V. Rostunova ◽  
S. A. Budagyan ◽  
V. V. Stets
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Remote Monitoring ◽  
Clinical Testing ◽  
Transportation Of Patients ◽  
High Quality ◽  
Telemedicine System ◽  
Accuracy Of Measurements ◽  
Hospital Equipment

The experience of clinical testing of the personal telemedicine system ‘Obereg’ for remote monitoring of patients at the intensive care units of leading Russian clinics is described. The high quality of communication with the remote receiving devices of doctors, the accuracy of measurements, resistance to interference from various hospital equipment and the absence of its own impact on such equipment were confirmed. There are significant advantages compared to stationary patient monitors, in particular, for intra and out-of-hospital transportation of patients.

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