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Number of results: 29
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Abstract

The use of virtual reality (VR) has been exponentially increasing and due to that many researchers have started to work on developing new VR based social media. For this purpose it is important to have an avatar of the user which look like them to be easily generated by the devices which are accessible, such as mobile phones. In this paper, we propose a novel method of recreating a 3D human face model captured with a phone camera image or video data. The method focuses more on model shape than texture in order to make the face recognizable. We detect 68 facial feature points and use them to separate a face into four regions. For each area the best fitting models are found and are further morphed combined to find the best fitting models for each area. These are then combined and further morphed in order to restore the original facial proportions. We also present a method of texturing the resulting model, where the aforementioned feature points are used to generate a texture for the resulting model.

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Authors and Affiliations

G. Anbarjafari
R.E. Haamer
I. Lüsi
T. Tikk
L. Valgma
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Abstract

Who and what makes the Polish Academy of Sciences the autonomous institution that it is? The answer: people, institutions, and ideals.
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Authors and Affiliations

Iwona Hofman
1

  1. Institute of Social Communication and Media Science, Maria Curie-Skłodowska University in Lublin
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Abstract

A review of night vision metrology is presented in this paper. A set of reasons that create a rather chaotic metrologic situation on night vision market is presented. It is shown that there has been made a little progress in night vision metrology during last decades in spite of a big progress in night vision technology at the same period of time. It is concluded that such a big discrep- ancy between metrology development level and technology development can be an obstacle in the further development of night vision technology.

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Authors and Affiliations

Krzysztof Chrzanowski
ORCID: ORCID
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Abstract

This paper first describes basic information on 13 mineral resource strategy reports issued by the world’s major mineral resource exploration countries and regions, including Australia, Canada, Europe, the U.S., Russia, and India. Through these strategic reports, we identified the problems facing current mineral exploration and development, such as mining issues, increased on land access and permitting, disincentives to obtain precompetitive geoscience information, and the urgent need to improve exploration technology to adapt to new demands. Then, by studying the visions and aims of the new mineral resource strategies, this paper found that the strategic goals have something in common: to display a new image of mining development. The new image of mining development is an image of advanced mining through green development, ecological protection, technology intensity, sustainability, and social acceptance, consolidating the primary position and foundational role of mineral resources and mining development in economic and social development. The new image creates a favorable development environment for the rational use and adequate protection of mineral resources. After that, a summary of the measures taken to achieve these objectives, which include strengthening domestic mineral exploration, increasing coordination between mineral exploration and ecological environmental protection, strengthening the life cycle management of the industrial chain, playing a significant role in scientific and technological innovation, and paying close attention to significant shifts in the focus on critical minerals, is provided.
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Bibliography

1. AAS 2018. Our Planet, Australia’s Future A decade of transition in Geoscience. Canberra: Australian Academy of Science (AAS), 54 pp.
2. AG 2019a. Australia’s Critical Minerals Strategy[R]. Commonwealth of Australia.
3. AG 2019b. National Resources Statement. Canberra: Australian Government (AG), 5 pp.
4. Bacon, A. and Pemberton, J. 2012. Mineral Exploration Code of Practice. Ed. 5. Hobart: Mineral Resources Tasmania, 21 pp.
5. Barakos, G. An outlook on the rare earth elements mining industry. [Online] https://www.ausimmbulletin.com/ feature/an-outlook-on-the-rare-earth-elements-mining-industry [Accessed: 2020-02-01].
6. BGS 2015. Risk list 2015. Nottingham: British Geological Survey (BGS), 2 pp.
7. BLM 2017. Secretarial Order 3355, Streamlining National Environmental Policy Act Reviews and Implementation of Executive Order 13807. Establishing Discipline and Accountability in the Environmental Review and Permitting Process for Infrastructure Projects. Washington: the U.S. Bureau of Land Management (BLM). 8. Cobalt Historical Society. The Cobalt Mining District National Historic Site of Canada. [Online] https://heritagesilvertrail. ca/10-00-hst.html [Accessed: 2020-11-15].
9. CSIRO 2017. Mining equipment, technology and services: a Roadmap for unlocking future growth opportunities for Australia. Canberra: Commonwealth Scientific and Industrial Research Organization (CSIRO), 32 pp.
10. DISER 2020. Resources and Energy Quarterly March 2020. Department of Industry, Science, Energy and Resource of Australia (DISER), 11 pp.
11. DOC 2019. A Federal Strategy to Ensure Secure and Reliable Supplies of Critical Minerals. Washington: the U.S. Department of Commerce (DOC).
12. DOE 2019. Energy Department Announces Battery Recycling Prize and Battery Recycling R&D Center. Washington: the U.S. Department of Energy (DOE).
13. DOI 2018. Final List of Critical Minerals 2018 (83 Fed. Reg. 23295). Washington: the U.S. Department of the Interior (DOI).
14. EOP 2017. A Federal Strategy To Ensure Secure and Reliable Supplies of Critical Minerals (E.O. 13817 of Dec 20, 2017). Washington: Executive Office of the President (EOP).
15. Exploring for the Future. Introduce [Online] http://www.ga.gov.au/eftf [Accessed: 2020-11-15].
16. GI 2019. National Mineral Policy of India. Government of India (GI), 3 pp.
17. GWG 2017. Australia Minerals 2017–2022 National Mineral Exploration Strategy. Geoscience Working Group (GWG), 5 pp.
18. Hodgkinson, J.H. and Smith, M.H. 2018. Climate change and sustainability as drivers for the next mining and metals boom: The need for climate-smart mining and recycling. Resources Policy 172, pp. 274–286.
19. INFACT. Introduction. [Online] https://www.infactproject.eu/about-the-project/#introduction [Accessed: 2020-11-15].
20. Karl, N. and Wilburn, D. 2017. Global nonfuel mineral exploration trends 2001–2015. Mining Engineering 69, pp. 30–37.
21. LePan, N. 2018. The Base Metal Boom: The Start of a New Bull Market? [Online] https://www.visualcapitalist. com/base-metal-boom/ [Accessed: 2020-12-15].
22. Maennling, N. and Toledano, P. 2019. Seven trends shaping the future of the mining and metals industry. [Online] https://www.weforum.org/agenda/2019/03/seven-trends-shaping-the-future-of-the-mining-and-metals-sector/ [Accessed: 2020–12-15].
23. Manalo, P. 2018. Grassroots’ share of global budget at all-time low. S&P Global 22, p. 1.
24. Marina, S. The rush for cobalt in Cobalt, Ont: Mining companies snap up land in the north [Online] https://www. cbc.ca/news/canada/sudbury/cobalt-mining-resurgence-1.4030303 [Accessed: 2020-12-15].
25. MNRE 2019. On approval of the Action Plan for the implementation of the Strategy of development of the mineral resource base of the Russian Federation until 2035 (for 2019–2024 years) ( in Russian). The Ministry of Natural Resources and Environment of Russia (MNRE).
26. Netshitenzhe, J. 2019. Towards Mining Vision 2030. [In:] The Future of Mining in South Africa: Sunset or Sunrise? The Mapungubwe Institute for Strategic Reflection (MISTRA), pp. 17–65, DOI: 10.2307/j.ctvgc60w8.7
27. NRC 2017. The Minerals and Metals Policy of the Government of Canada. Alberta: Natural Resources Canada (NRC), 9 pp.
28. NRC 2018. Mining Ideas for the Canadian Minerals and Metals Plan: A Discussion Paper. Alberta: Natural Resources Canada (NRC), 15 pp.
29. NRC 2019. The Canadian Minerals and Metals Plan. Alberta: Natural Resources Canada (NRC), 13 pp.
30. Resources 2030 Taskforce 2018. Australian resources-providing prosperity for future generations. Resources 2030 Taskforce, 42 pp.
31. Richard, S. 2016. A decade of discoveries A good – news story driven by junior explorers, guided by artisanal workings. Mining Journal. January, p. 20 .
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33. Richard, S. 2018b. Where, what, when and who? Highlighting key global exploration opportunities, trends and a perspective on the cycle of mineral exploration. International Mining and Resource Conference. 31st October 2018, Melbourne, pp. 22.
34. Sharma, R.K. 2017. Indian mining: vision 2030 and beyond. International Conference & Expo on Mining Industry Vision 2030 & Beyond. December 6–8, 2017, Nagpur.
35. Silveira, J.W. and Resende, M. 2017. Competition in the International niobium Market: An Econometric Study. CESifo Working Paper Series 6715, CESifo Group Munich.
36. SNL Metals & Mining, 2020. SNL Metals & Mining Database, Exploration Budget Trends. [Online] http://www.snl. com/ [Accessed: 2020-12-15].
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38. UN 2014. World Urbanization Prospects: The 2014 Revision. New York: United Nations (UN).
39. UNCOVER. Introduction. [Online] https://www.uncoveraustralia.org.au/ [Accessed: 2020-12-15].
40. USGS 2020. Mineral commodity summaries 2020. Virginia: U.S. Geological Survey (USGS).
41. Vale 2020. Vale. Biodiversity. [Online] http://www.vale.com/brasil/EN/sustainability/Pages/biodiversity.aspx [Accessed: 2020-12-15].
42. VERAM 2018. Research & Innovation Roadmap 2050: A Sustainable and Competitive Future for European Raw Materials. Brussels: Vision and Roadmap for European Raw Materials (VERAM).
43. Yun, Y. 2020. Assessing the criticality of minerals used in emerging technologies in China. Gospodarka Surowcami Mineralnymi – Mineral Resources Management 36, pp. 5–20, DOI: 10.24425/gsm.2020.132559.

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Authors and Affiliations

Yu Yun
1
ORCID: ORCID

  1. China Geological Survey Development and Research Center, China
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Abstract

Turmeric is affected by various diseases during its growth process. Not finding its diseases at early stages may lead to a loss in production and even crop failure. The most important thing is to accurately identify diseases of the turmeric plant. Instead of using multiple steps such as image pre-processing, feature extraction, and feature classification in the conventional method, the single-phase detection model is adopted to simplify recognizing turmeric plant leaf diseases. To enhance the detection accuracy of turmeric diseases, a deep learning-based technique called the Improved YOLOV3-Tiny model is proposed. To improve detection accuracy than YOLOV3-tiny, this method uses residual network structure based on the convolutional neural network in particular layers. The results show that the detection accuracy is improved in the proposed model compared to the YOLOV3-Tiny model. It enables anyone to perform fast and accurate turmeric leaf diseases detection. In this paper, major turmeric diseases like leaf spot, leaf blotch, and rhizome rot are identified using the Improved YOLOV3-Tiny algorithm. Training and testing images are captured during both day and night and compared with various YOLO methods and Faster R-CNN with the VGG16 model. Moreover, the experimental results show that the Cycle-GAN augmentation process on turmeric leaf dataset supports much for improving detection accuracy for smaller datasets and the proposed model has an advantage of high detection accuracy and fast recognition speed compared with existing traditional models.
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Authors and Affiliations

V. Devisurya
1
R. Devi Priya
1
N. Anitha
1

  1. Department of Information Technology, Kongu Engineering College, Perundurai, India
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Abstract

In this paper, we have researched implementing convolutional neural network (CNN) models for devices with limited resources, such as smartphones and embedded computers. To optimize the number of parameters of these models, we studied various popular methods that would allow them to operate more efficiently. Specifically, our research focused on the ResNet-101 and VGG-19 architectures, which we modified using techniques specific to model optimization. We aimed to determine which approach would work best for particular requirements for a maximum accepted accuracy drop. Our contribution lies in the comprehensive ablation study, which presents the impact of different approaches on the final results, specifically in terms of reducing model parameters, FLOPS, and the potential decline in accuracy. We explored the feasibility of implementing architecture compression methods that can influence the model’s structure. Additionally, we delved into post-training methods, such as pruning and quantization, at various model sparsity levels. This study builds upon our prior research [1] to provide a more comprehensive understanding of the subject matter at hand.
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Authors and Affiliations

Artur Sobolewski
1
Kamil Szyc
1

  1. Wrocław University of Scienceand Technology, Wrocław, Poland
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Abstract

This paper presents a 3D distance measurement accuracy improvement for stereo vision systems using optimization methods A Stereo Vision system is developed and tested to identify common uncertainty sources. As the optimization methods are used to train a neural network, the resulting equation can be implemented in real time stereo vision systems. Computational experiments and a comparative analysis are conducted to identify a training function with a minimal error performance for such method. The offered method provides a general purpose modelling technique, attending diverse problems that affect stereo vision systems. Finally, the proposed method is applied in the developed stereo vision system and a statistical analysis is performed to validate the obtained improvements.

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Authors and Affiliations

J.C. Rodríguez-Quiñonez
O. Sergiyenko
W. Flores-Fuentes
M. Rivas-lopez
D. Hernandez-Balbuena
R. Rascón
P. Mercorelli
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Abstract

This paper presents a detailed review on a present confused situation related to defining and measurement of the eyepiece diopter range of optical/electro-optical devices to be used for a direct observation by human observers. On the basis of this review three precise definitions of a direct view imagers eyepiece diopter are presented. One of these definitions is determined as optimal fit to describe the perception of human observers. Further on, design and measurement uncertainties of diopter meters are discussed and rules of accurate measurements are formulated. Finally, recommendations for the maximum acceptable errors of the diopter scale of eyepieces of classic types of direct view imagers are presented, as well.

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Authors and Affiliations

Krzysztof Chrzanowski
ORCID: ORCID
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Abstract

Berkeley is a philosopher commonly associated with his thesis about the nonexistence of the material world. However, he would disagree with the statement that the entire world that, according to him, consists of ideas, is only in the cognizing mind. He would also disagree with the fact that perceived objects are in absolute space. The article aims to present Berkeley’s solution to the alternative mentioned above. The solution is based on the category of space presented in Berkeley’s Essasy Towards New Theory of Vision. In New Theory of Vision, Berkeley explains his position on problem of visual perception. He begins his argument by resolving the issue of the visual perception of distance, and this subjects leads him to much further matters—including the concept of relative space, grounded in the bodily experience of the cognizing subject.
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Authors and Affiliations

Anna Gańko
1

  1. Instytut Kultury Polskiej UW, Wydział Polonistyki, Uniwersytet Warszawski, ul. Krakowskie Przedmieście 26/28, 00–927 Warszawa
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Abstract

Stanisław Lem is mostly known as a sci-fi writer and not widely perceived as a visionary of the cyber age, despite the fact that he foresaw the future of information technology better than most scientific experts. Indeed, his visions of future information- based societies have proved to be remarkably accurate. Lem’s stories fuse together elements of fantasy, philosophy, and science, but what we can really learn from them is the nature of humanity, technology, and philosophy, as well as the values of technological prophecies. Moreover, Lem gave birth to, without naming it as such, the concept of philosophy in technology, which is a perspective on technology and philosophy that explores the deep implicit philosophical foundations of technology and humanity.
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Authors and Affiliations

Paweł Polak
1
Roman Krzanowski
1

  1. The Pontifical University of John Paul II, Cracow, Poland
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Abstract

Belts are widely applied in mine production for conveying ores. Understanding ore granularity, which is a crucial factor in determining the effectiveness of crushers, is vital for optimising production efficiency throughout the crushing process and ensuring the success of subsequent operations. Based on edge computing technology, an online detection method is investigated to rapidly and accurately obtain ore granularity information on high-speed conveyor belts. The detection system utilising machine vision technology is designed in this paper. The high-speed camera set above the belt is used to collect the image of the ore flow, and the collected image is input into the edge computing device. After binary, grey morphology and convex hull algorithm processing, the particle size distribution of ore is obtained by statistical analysis. Finally, a 5G router is used to output the settlement result to a cloud platform. In the GUANBAOSHAN mine of Ansteel Group, the deviation between manual screening and image particle size analysis was studied. Experimental results show that the proposed method can detect the ore granularity, ore flow width and ore flow terminal in real-time. It can provide a reference for the staff to adjust the parameters of the crushing equipment, reduce the mechanical loss and the energy consumption of the equipment, improve the efficiency of crushing operation and reduce the failure rate of the crusher.
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Authors and Affiliations

Jiang Yao
1
Yinbo Xue
2
Xiaoliang Li
2
Lei Zhai
2
Zhenyu Yang
3
Wenhui Zhang
3

  1. Northeastern University, China
  2. Chinese Academy of Sciences Allwin Technology Co., Ltd, China
  3. Ansteel Group Guanbaoshan Mining Co., Ltd, China
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Abstract

The aim of this study is to refl ect on two notions that are often used in contemporary research, relevant to cultural linguistics: linguistic vision of the world and linguistic image of the world. We start with expressing our conviction that it is not a question of two synonymic concepts nor do we believe that they are opposite notions. In our opinion, they are two ideas that refl ect the relationship between the language and culture of a speech community but at different levels and from a different perspective. In this study we will examine the research works that, in recent years, have used both notions in order to expose their advantages. In the fi rst part of our work we will discuss the background of the discipline and then provide the defi nitions of both notions and their uses most signifi cant uses. We will draw on the studies of researchers who study Slavic languages, Spanish and English.

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Authors and Affiliations

Beata Brzozowska-Zburzyńska
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Abstract

This work proposes a systematic assessment of stereophotogrammetry and noise-floor tests to characterize and quantify the uncertainty and accuracy of a vision-based tracking system. Two stereophotogrammetry sets with different configurations, i.e., some images are designed and their sensitivity is quantified based on several assessments. The first assessment evaluates the image coordinates, stereo angle and reconstruction errors resulting from the stereophotogrammetry procedure, and the second assessment expresses the uncertainty from the variance and bias errors measured from the noise-floor test. These two assessments quantify the uncertainty, while the accuracy of the vision-based tracking system is assessed from three quasi-static tests on a small-scaled specimen. The difference in each stereophotogrammetry set and configuration, as indicated by the stereophotogrammetry and noise-floor assessment, leads to a significant result hat the first stereophotogrammetry set measures the RMSE of 3.6 mm while the second set identifies only 1.6 mm of RMSE. The results of this work recommend a careful and systematic assessment of stereophotogrammetry and noise-floor test results to quantify the uncertainty before the real test to achieve a high displacement accuracy of the vision-based tracking system.
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Authors and Affiliations

Luna Ngeljaratan
1
Mohamed A. Moustafa
1

  1. University of Nevada, Department of Civil & Environmental Engineering, Reno, NV 89557, USA

Authors and Affiliations

Sebastian Słomiński
1
ORCID: ORCID

  1. Warsaw University of Technology, Institute of Electrical Power Engineering, Lighting Technology Division, Koszykowa 75, 00-662 Warsaw, Poland
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Abstract

In this article, the authors focused on the widely used aluminium extrusion technology, where the die quality and durability are the essential factors. In this study, detailed solutions in the three-key area have been presented. First is applying marking technology, where a laser technique was proposed as a consistent light source of high power in a selected, narrow spectral range. In the second, an automated and reliable identification method of alphanumeric characters was investigated using an advanced machine vision system and digital image processing adopted to the industrial conditions. Third, a proposed concept of online tool management was introduced as an efficient process for properly planning the production process, cost estimation and risk assessment. In this research, the authors pay attention to the designed vision system’s speed, reliability, and mobility. This leads to the practical, industrial application of the proposed solutions, where the influence of external factors is not negligible.
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Authors and Affiliations

S. Świłło
1
ORCID: ORCID
R. Cacko
1
ORCID: ORCID

  1. Warsaw University of Technology, Metal Forming and Foundry, Faculty of Mechanical and Industrial Engineering, 85 Narbutta Str., 02-525, Warszawa, Poland
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Abstract

Advanced vision method of analysis of the Erichsen cupping test based on laser speckle is presented in this work. This method proved to be useful for expanding the range of information on material formability for two commonly used grades of steel sheets: DC04 and DC01. The authors present a complex methodology and experimental procedure that allows not only to determine the standard Erichsen index but also to follow the material deformation stages immediately preceding the occurrence of the crack. Accurate determination of these characteristics in the sheet metal forming would be an important application, especially for automotive industry. However, the sheet metal forming is a very complex manufacturing process and its success depends on many factors. Therefore, attention is focused in this study on better understanding of the Erichsen index in combination with the material deformation history.

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Authors and Affiliations

C. Jasiński
A. Kocańda
Ł. Morawiński
S. Świłło
ORCID: ORCID
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Abstract

Nondestructive and contactless online approaches for detecting defects in polymer films are of significant interest in manufacturing. This paper develops vision-based quality metrics for detecting the defects of width consistency, film edge straightness, and specks in a polymeric film production process. The three metrics are calculated from an online low-cost grayscale camera positioned over the moving film before the final collection roller and can be implemented in real-time to monitor the film manufacturing for process and quality control. The objective metrics are calibrated to correlate with an expert ranking of test samples, and results show that they can be used to detect defects and measure the quality of polymer films with satisfactory accuracy.
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Authors and Affiliations

Nathir Rawashedeh
1 2
ORCID: ORCID
Paniz Hazaveh
1
Safwan Altarazi
2
ORCID: ORCID

  1. Michigan Technological University, College of Computing, USA
  2. German Jordanian University, School of Applied Technical Sciences, Jordan
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Abstract

The paper considers the vision of the world and the person of Józef Kazimierz Plebański (1831–1897), the Warsaw historian, one of two Polish students of Leopold von Ranke. In my article, I analyse the essential categories and objects which structure his thinking about reality, such as liberty, Providence, moral laws, state, nation, and humanity. At the end, I try to compare the worldview of Plebański with the worldview of historicism.

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Authors and Affiliations

Rafał Swakoń
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Abstract

The article attempts to reach the elements that control the efforts of constituting a specific type of vision of the past, with which — as I believe — we are dealing in the contemporary public discourse about history.

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Authors and Affiliations

Marek Woźniak
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Abstract

The aim of the paper is to analyze the political trajectory of changes in Saudi Arabia during the reign of Prince Muhammad Ibn Salman and the effects it has on the traditional and conservative values of the Saudi kingdom. The point of reference for the prince’s reform policy is the Vision 2030 project of changes announced in 2016, which aims to maintain a balance between modernization, including economic reforms, privatization and cultural initiatives, on the one hand, and Islam and political authoritarianism on the other. The structure of my article is built around the hypothesis that assumes that the reformist policy of Muhammad Ibn Salman is aimed at improving the economic and social conditions of Saudi Arabia in order to obtain social legitimization and loyalty and in the long term to ensure regime survival and its stability. I have posed three research questions which are as follows: 1) Can traditionalism and modernization be combined? 2) What is the impact of the authoritarian regime on modernization policy? 3) How has the relationship between the political authority and the Wahhabi establishment changed?
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Authors and Affiliations

Wojciech Grabowski
1
ORCID: ORCID

  1. University of Gdańsk, Poland
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Abstract

Lane detection is one of the key steps for developing driver assistance and vehicle automation features. A number of techniques are available for lane detection as part of computer vision tools to perform lane detection with different levels of accuracies. In this paper a unique method has been proposed for lane detection based on dynamic origin (DOT). This method provides better flexibility to adjust the outcome as per the specific needs of the intended application compared to other techniques. As the method offers better degree of control during the lane detection process, it can be adapted to detect lanes in varied situations like poor lighting or low quality road markings. Moreover, the Piecewise Linear Stretching Function (PLSF) has also been incorporated into the proposed method to improve the contrast of the input image source. Adding the PLSF method to the proposed lane detection technique, has significantly improved the accuracy of lane detection when compared to hough transform method from 87.88% to 98.25% in day light situations and from 94.15% to 97% in low light situations.
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Bibliography

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Authors and Affiliations

P. Maya
1
C. Tharini
2

  1. B S Abdur Rahman Crescent Institute of Science and Technology, Chennai, India
  2. B S Abdur Rahman Crescent Institute of Science and Technology,Chennai, India
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Abstract

The precise location of the needle tip is critical in robot-assisted needle-based percutaneous interventions. An automatic needle tip measuring system based on binocular vision technology with the advantages of non-contact, excellent accuracy and high stability is designed and evaluated. First the measurement requirements of the prostate intervention robot are introduced. A laser interferometer is used as the reference for measuring the position of the needle tip whose relative position variation is described as the needle tip distance in the time domain. The parameters of the binocular cameras are obtained by Zhang’s calibration method. Then a robust needle tip extraction algorithm is specially designed to detect the pixel coordinates of the needle tip without installing the marked points. Once the binocular cameras have completed the stereo matching, the 3D coordinates of the needle tip are estimated. The measurement capability analysis (MCA) is used to evaluate the performance of the proposed system. The accuracy of the system can be controlled within 0.3621 mm. The agreement analysis is conducted by the Bland–Altman analysis, and the Pearson correlation coefficient is 0.999847. The P/T ratio value is 16.42% in the repeatability analysis. The results indicate that the accuracy and stability of the binocular vision needle tip measuring system are adequate to meet the requirement for the needle tip measurement in percutaneous interventions.

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Authors and Affiliations

Yuyang Lin
Yunlai Shi
Jun Zhang
ORCID: ORCID
Fugang Wang
Haichao Sun
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Abstract

When machine tool spindles are running at a high rotation speed, thermal deformation will be introduced due to the generation of large amounts of heat, and machining accuracy will be influenced as a result, which is a generalized issue in numerous industries. In this paper, a new approach based on machine vision is presented for measurements of spindle thermal error. The measuring system is composed of a Complementary Metal-Oxide-Semiconductor (CMOS) camera, a backlight source and a PC. Images are captured at different rotation angles during end milling process. Meanwhile, the Canny edge detection and Gaussian sub-pixel fitting methods are applied to obtain the bottom edge of the end mill which is then used to calculate the lowest point coordinate of the tool. Finally, thermal extension of the spindle is obtained according to the change of the lowest point at different time steps of the machining process. This method is validated through comparison with experimental results from capacitive displacement sensors. Moreover, spindle thermal extension during the processing can be precisely measured and used for compensation in order to improve machining accuracy through the proposed method.
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Authors and Affiliations

Dongxu Su
1
Xin Cai
1
Yang Li
1
ORCID: ORCID
Wanhuan Zhao
1
Huijie Zhang
1

  1. Xi’an Jiaotong University, State Key Laboratory for Manufacturing System Engineering, Xi’an, Shaanxi 710054, China
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Abstract

Recently, the analysis of medical imaging is gaining substantial research interest, due to advancements in the computer vision field. Automation of medical image analysis can significantly improve the diagnosis process and lead to better prioritization of patients waiting for medical consultation. This research is dedicated to building a multi-feature ensemble model which associates two independent methods of image description: textural features and deep learning. Different algorithms of classification were applied to single-phase computed tomography images containing 8 subtypes of renal neoplastic lesions. The final ensemble includes a textural description combined with a support vector machine and various configurations of Convolutional Neural Networks. Results of experimental tests have proved that such a model can achieve 93.6% of weighted F1-score (tested in 10-fold cross validation mode). Improvement of performance of the best individual predictor totalled 3.5 percentage points.
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Authors and Affiliations

Aleksandra Maria Osowska-Kurczab
1
ORCID: ORCID
Tomasz Markiewicz
1 2
ORCID: ORCID
Miroslaw Dziekiewicz
2
Malgorzata Lorent
2

  1. Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland
  2. Military Institute of Medicine, ul. Szaserów 128, 04-141 Warsaw, Poland

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