The fifth base: A natural feature of dinoflagellate DNA

1984 ◽  
Vol 13 (3-4) ◽  
pp. 195-203 ◽  
Author(s):  
Colette Galleron
Keyword(s):  
Natural Feature

Liverworts of the Uzon Volcano caldera (Kronotsky Nature Reserve, Kamchatka)

2011 ◽  
Vol 45 ◽  
pp. 386-393
Author(s):  
A. D. Potemkin ◽  
E. Yu. Kuzmina ◽  
T. I. Koroteeva (Nyushko)
Keyword(s):  
Species Composition ◽  
Nature Reserve ◽  
Uzon Caldera ◽  
Red Data Book ◽  
Natural Feature ◽  
Data Book ◽  
First Time ◽  
Kronotsky Nature Reserve

Species composition of liverworts of unique natural feature of Kamchatka — Uzon Volcano caldera is listed. It includes 38 species. 29 of them are found for the first time for the Uzon caldera. Marsupella funckii, Nardia assamica, N. unispiralis included in Red Data Book of Kamchatka (2007).

Medical students' memory for faces: Comparing the influences of a non-natural feature and emotion

2021 ◽  
Vol 429 ◽  
pp. 118520
Author(s):  
Vinicius Figueiredo ◽  
Monaí Oliveira ◽  
Mayara Nunes ◽  
Pietro De Aguiar ◽  
Bianca Andrade ◽  
...  
Keyword(s):  
Medical Students ◽  
Natural Feature

scholarly journals Natural Feature Detection on Mobile Phones with 3D FAST

2010 ◽  
Vol 9 (4) ◽  
pp. 29-34 ◽  
Author(s):  
Achim Weimert ◽  
Xueting Tan ◽  
Xubo Yang
Keyword(s):  
Feature Detection ◽  
Feature Matching ◽  
Hessian Matrix ◽  
Detection Algorithm ◽  
Scale Invariant ◽  
Natural Feature ◽  
Detection Approach ◽  
Scale Levels ◽  
Speed Up ◽  
Low Performance

In this paper, we present a novel feature detection approach designed for mobile devices, showing optimized solutions for both detection and description. It is based on FAST (Features from Accelerated Segment Test) and named 3D FAST. Being robust, scale-invariant and easy to compute, it is a candidate for augmented reality (AR) applications running on low performance platforms. Using simple calculations and machine learning, FAST is a feature detection algorithm known to be efficient but not very robust in addition to its lack of scale information. Our approach relies on gradient images calculated for different scale levels on which a modified9 FAST algorithm operates to obtain the values of the corner response function. We combine the detection with an adapted version of SURF (Speed Up Robust Features) descriptors, providing a system with all means to implement feature matching and object detection. Experimental evaluation on a Symbian OS device using a standard image set and comparison with SURF using Hessian matrix-based detector is included in this paper, showing improvements in speed (compared to SURF) and robustness (compared to FAST)

scholarly journals Augmented Reality Pengenalan Landmark Negara Asia Tenggara Menggunakan Algoritma FAST Corner dan Natural Feature Tracking

2021 ◽  
Vol 8 (3) ◽  
pp. 1012-1026
Author(s):  
Adam Raihan Fadhlurahman
Keyword(s):  
Augmented Reality ◽  
Feature Tracking ◽  
Corner Detection ◽  
Natural Feature

Pada saat ini diseluruh bagian dunia sedang terlanda sebuah virus yaitu COVID-19 yang membuat setiap orang tidak dapat berpergian ke luar negri dengan mudah. Namun di era sudah canggih ini semua informasi dapat disajikan secara digitalisasi mulai dalam bentuk tulisan maupun gambar dan dapat juga ditampilkan berbentuk objek 3 dimensi dibantu dengan Augmented Reality untuk menampilkannya. Peneleitian ini memanfaatkan teknologi Augmented Reality digunakan untuk alat pengenalan landmark dari negara Asia Tenggara agar tampilan objek akan menjadi lebih atraktif dan dapat mengetahui informasi tentang landmark dari setiap negara dengan mudah. Dalam penelitian ini aplikasi Augmented Reality dibuat menggunakan FAST Corner Detection (FCD) algoritma dan Natural Feature Tracking (NFT) untuk mendeteksi marker. Pengujian dari aplikasi ini dilakukan pada tiga perangkat smartphone android, pada sudut kemiringan 20° - 90° ketiga smartpone dapat mendeteksi marker menggunakan kameranya dan menampilkan objek 3 dimensi sesuai dengan landmark yang dipilih pada layar smartphone. Untuk pengukuran jarak maximal yang dapat dibaca oleh handphone rata-rata ±75cm dan jarak minimun pendeteksian yaitu ±10cm.

Managing Brands at Risk

2014 ◽  
pp. 177-190 ◽  
Author(s):  
Elif Yolbulan Okan
Keyword(s):  
Natural Disasters ◽  
Brand Management ◽  
Recent Case ◽  
Product Recall ◽  
Business World ◽  
Case Examples ◽  
Natural Feature ◽  
Dynamic Forces ◽  
Emerging Country ◽  
Political Economic

Since crises have become an inevitable, natural feature of the business world, managing brands during crisis has also become an important source of competitive advantage. Thus, there is a growing need to understand determinants of crisis, which have become an integral part of today's world. The aim of this chapter is to explain the determinants of successful brand management during crises based on the case of Turkey. Crises may arise for various reasons, such as natural disasters, accidents, financial/political/product harm-related problems, product recall incidents, and many others. Since brands are very affected by many dynamic forces—political-economic-social and technological—brand managers need to be prepared to overcome crises without harming the brand equity. Moreover, the integration of brand management theory, which originated and was dominated by Western researchers, with recent case examples from an emerging country, constitutes the originality of the chapter. In this chapter, two boycott cases, an airplane disaster case and a product recall case, from Turkey are summarized to contribute to the existing Western literature.

3. Colonial India: religious and caste divides

2017 ◽  
pp. 34-47
Author(s):  
Craig Jeffrey
Keyword(s):  
Religious Diversity ◽  
Social Institution ◽  
Caste System ◽  
Indian Society ◽  
Colonial India ◽  
Natural Feature ◽  
Political Forces ◽  
Imperial Power ◽  
Partition Of India

India is often identified as a Hindu country, but there are many other religions in India including Buddhism, Jainism, Islam, Sikhism, Zoroastrianism, Judaism, and Christianity. ‘Colonial India: religious and caste divides’ explains India’s religious diversity and the inequalities that are associated with the assumed ‘Hindu-ness’ of India. It also describes the Partition of India into three new nations in 1947 and the accompanying violence. A sharply hierarchical caste system is not necessarily a natural feature of Indian society. Caste is rather a social institution that has changed historically in response to economic and political forces. The imperial power introduced or exacerbated social contradictions that continue to mark the lives of low castes in modern India.

scholarly journals A Novel Feature-Based Approach for Indoor Monocular SLAM

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 305 ◽  
Author(s):  
Seyyed Hoseini ◽  
Peyman Kabiri
Keyword(s):  
Camera Tracking ◽  
Translation Error ◽  
Natural Feature ◽  
Localization And Mapping ◽  
Monocular Slam ◽  
Challenging Tasks ◽  
Camera Pose ◽  
Quality Video ◽  
Feature Based ◽  
Chessboard Pattern

Camera tracking and the construction of a robust and accurate map in unknown environments are still challenging tasks in computer vision and robotic applications. Visual Simultaneous Localization and Mapping (SLAM) along with Augmented Reality (AR) are two important applications, and their performance is entirely dependent on the accuracy of the camera tracking routine. This paper presents a novel feature-based approach for the monocular SLAM problem using a hand-held camera in room-sized workspaces with a maximum scene depth of 4–5 m. In the core of the proposed method, there is a Particle Filter (PF) responsible for the estimation of extrinsic parameters of the camera. In addition, contrary to key-frame based methods, the proposed system tracks the camera frame by frame and constructs a robust and accurate map incrementally. Moreover, the proposed algorithm initially constructs a metric sparse map. To this end, a chessboard pattern with a known cell size has been placed in front of the camera for a few frames. This enables the algorithm to accurately compute the pose of the camera and therefore, the depth of the primary detected natural feature points are easily calculated. Afterwards, camera pose estimation for each new incoming frame is carried out in a framework that is merely working with a set of visible natural landmarks. Moreover, to recover the depth of the newly detected landmarks, a delayed approach based on linear triangulation is used. The proposed method is applied to a realworld VGA quality video (640 × 480 pixels) where the translation error of the camera pose is less than 2 cm on average and the orientation error is less than 3 degrees, which indicates the effectiveness and accuracy of the developed algorithm.

scholarly journals Augmented reality using Natural Feature Tracking (NFT) method for learning media of makharijul huruf

2020 ◽  
Vol 874 ◽  
pp. 012019 ◽  
Author(s):  
Syita Ulfah ◽  
Diena Rauda Ramdania ◽  
Uwes Fatoni ◽  
Khoiruddin Mukhtar ◽  
Hajir Tajiri ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Feature Tracking ◽  
Natural Feature

scholarly journals GeoNat v1.0: A dataset for natural feature mapping with artificial intelligence and supervised learning

2020 ◽  
Vol 24 (3) ◽  
pp. 556-572
Author(s):  
Samantha T. Arundel ◽  
Wenwen Li ◽  
Sizhe Wang
Keyword(s):  
Artificial Intelligence ◽  
Supervised Learning ◽  
Feature Mapping ◽  
Natural Feature

Drenov Grič black limestone: a heritage stone from Slovenia

2019 ◽  
Vol 486 (1) ◽  
pp. 149-162 ◽  
Author(s):  
Sabina Kramar ◽  
Nina Žbona ◽  
Mojca Bedjanič ◽  
Ana Mladenović ◽  
Boštjan Rožič
Keyword(s):  
European Countries ◽  
Salt Weathering ◽  
Architectural Elements ◽  
Natural Feature ◽  
National Importance ◽  
Natural Stones ◽  
Natural Monument ◽  
Micritic Limestone ◽  
Cultural Monuments ◽  
Indoor And Outdoor

AbstractDrenov Grič black limestone is considered to be one of the most beautiful Slovenian natural stones due to its black colour interwoven with white veins. Over the centuries, it has been extracted from two major quarries located west of Ljubljana. One of these quarries has been declared a valuable natural feature of national importance and is protected as a natural monument. This well-stratified, Triassic (Carnian) micritic limestone occurs in 10–80 cm thick beds with thin marl interlayers. The limestone occasionally contains abundant fossil bivalves, gastropods and ostracods. It is relatively rich in carbonaceous and bituminous organic matter, which is responsible for the black colour of the stone. The stone has been widely used in Slovenian monuments. Many indoor and outdoor architectural elements have been constructed using this limestone, particularly during the Baroque period, which was known for its extensive use of black limestones in other European countries as well. The most significant use of this limestone has been recorded in sculpted portals and altars. Some important buildings, which were decorated utilizing this stone, have been declared cultural monuments of local or national importance. Use of this limestone was also documented in other European countries (Italy, Austria, Serbia) and worldwide (USA). When exposed to climatic influences, chromatic and salt weathering are recognized as the main deterioration phenomena for this limestone when used in monuments.

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