Object Localization Using Active Partitions and Structural Description

2015 ◽  
pp. 727-736 ◽  
Author(s):  
Mateusz Jadczyk ◽  
Arkadiusz Tomczyk
Keyword(s):  
Object Localization ◽  
Structural Description

Ultrastructure of neuromuscular relationships in the canine heartworm (dirofilaria immitis)

1986 ◽  
Vol 44 ◽  
pp. 278-279
Author(s):  
W. L. Steffens ◽  
Nancy B. Roberts ◽  
J. M. Bowen
Keyword(s):  
Dirofilaria Immitis ◽  
Domestic Dogs ◽  
Structural Description ◽  
Pharmacological Effects ◽  
Free Living ◽  
Canine Heartworm ◽  
The World ◽  
Synaptic Region ◽  
Muscle Innervation ◽  
Insight Into

The canine heartworm is a common and serious nematode parasite of domestic dogs in many parts of the world. Although nematode neuroanatomy is fairly well documented, the emphasis has been on sensory anatomy and primarily in free-living soil species and ascarids. Lee and Miller reported on the muscular anatomy in the heartworm, but provided little insight into the peripheral nervous system or myoneural relationships. The classical fine-structural description of nematode muscle innervation is Rosenbluth's earlier work in Ascaris. Since the pharmacological effects of some nematacides currently being developed are neuromuscular in nature, a better understanding of heartworm myoneural anatomy, particularly in reference to the synaptic region is warranted.

Information technology for career guidance of creatively gifted university students

2020 ◽  
pp. 6-15
Author(s):  
S. A. Piyavsky ◽  
S. R. Kiryukov ◽  
A. S. Kuznetsov ◽  
G. A. Kulakov
Keyword(s):  
University Students ◽  
Career Guidance ◽  
Practical Significance ◽  
Structural Description ◽  
Joint Research ◽  
Research Activities ◽  
Information And Communication ◽  
System Functioning ◽  
Gifted Youth ◽  
Leading Enterprises

The article presents a structural description of the functioning of the regional information and communication system “Student and Labor” (SAL). This system is aimed at identifying and developing creatively gifted youth in the field of science, techniques and technology and is focused on the gradual involvement of university students in real work and interaction with leading enterprises in the region. The first cycle of the SAL system functioning is described, which has a complete character and has already led to a concrete result. The bank of information about the leading enterprises of the region that took part at the initial stage of the functioning of the SAL system were formed as well as the bank of 150 themes of scientific research for student projects, which were proposed by the enterprises themselves. All projects are focused on the practical significance of research for the enterprises themselves, as well as for students, their supervisors from universities and scientific consultants from enterprises that have embarked on joint research activities, which at the first stages are mostly of informational and educational nature. The Union of Employers of the Samara Region and the Council of Rectors of Universities in the Samara region are already taking the necessary measures to implement the described cycle of the functioning of the system SAL in the current academic year.

Structural description of sea turtle fibropapilloma

2020 ◽  
Vol 13 (3) ◽  
pp. 585-591
Author(s):  
Luana Melo ◽  
Isabel Velasco ◽  
Julia Aquino ◽  
Rosangela Rodrigues ◽  
Edris Lopes ◽  
...  
Keyword(s):  
Green Turtle ◽  
Chelonia Mydas ◽  
Sea Turtle ◽  
Tumor Formation ◽  
Neoplastic Disease ◽  
Structural Description ◽  
Chemical Carcinogens ◽  
Epidermal Proliferation ◽  
Turtle Population ◽  
Bulky Mass

Fibropapillomatosis is a neoplastic disease that affects sea turtles. It is characterized by multiple papillomas, fibropapillomas and cutaneous and/or visceral fibromas. Although its etiology has not been fully elucidated, it is known that there is a strong involvement of an alpha - herpesvirus, but the influence of other factors such as parasites, genetics, chemical carcinogens, contaminants, immunosuppression and ultraviolet radiation may be important in the disease, being pointed out as one of the main causes of a reduction in the green turtle population. Thus, the objective of this article was to describe the morphology of cutaneous fibropapillomas found in specimens of the green turtle (Chelonia mydas), using light and scanning electron microscopy in order to contribute to the mechanism of tumor formation. Microscopically, it presented hyperplastic stromal proliferation and epidermal proliferation with hyperkeratosis. The bulky mass was coated with keratin, with some keratinocyte invaginations, that allowed the keratin to infiltrate from the epidermis into the dermis, forming large keratinized circular spirals. Another fact that we observed was the influence of the inflammation of the tumors caused by ectoparasites.

3D Object Recognition and Relative Localization using a 3D sensor Embedded on a Mobile Robot

2020 ◽  
Author(s):  
Gopi Krishna Erabati
Keyword(s):  
Pose Estimation ◽  
Autonomous Systems ◽  
Microsoft Kinect ◽  
Object Localization ◽  
Initial Alignment ◽  
Relative Localization ◽  
3D Data ◽  
Industry Automation ◽  
Ofthe Object ◽  
3D Descriptors

The technology in current research scenario is marching towards automation forhigher productivity with accurate and precise product development. Vision andRobotics are domains which work to create autonomous systems and are the keytechnology in quest for mass productivity. The automation in an industry canbe achieved by detecting interactive objects and estimating the pose to manipulatethem. Therefore the object localization ( i.e., pose) includes position andorientation of object, has profound ?significance. The application of object poseestimation varies from industry automation to entertainment industry and fromhealth care to surveillance. The objective of pose estimation of objects is verysigni?cant in many cases, like in order for the robots to manipulate the objects,for accurate rendering of Augmented Reality (AR) among others.This thesis tries to solve the issue of object pose estimation using 3D dataof scene acquired from 3D sensors (e.g. Kinect, Orbec Astra Pro among others).The 3D data has an advantage of independence from object texture and invarianceto illumination. The proposal is divided into two phases : An o?ine phasewhere the 3D model template of the object ( for estimation of pose) is built usingIterative Closest Point (ICP) algorithm. And an online phase where the pose ofthe object is estimated by aligning the scene to the model using ICP, providedwith an initial alignment using 3D descriptors (like Fast Point Feature Transform(FPFH)).The approach we develop is to be integrated on two di?erent platforms :1)Humanoid robot `Pyrene' which has Orbec Astra Pro 3D sensor for data acquisition,and 2)Unmanned Aerial Vehicle (UAV) which has Intel Realsense Euclidon it. The datasets of objects (like electric drill, brick, a small cylinder, cake box)are acquired using Microsoft Kinect, Orbec Astra Pro and Intel RealSense Euclidsensors to test the performance of this technique. The objects which are used totest this approach are the ones which are used by robot. This technique is testedin two scenarios, fi?rstly, when the object is on the table and secondly when theobject is held in hand by a person. The range of objects from the sensor is 0.6to 1.6m. This technique could handle occlusions of the object by hand (when wehold the object), as ICP can work even if partial object is visible in the scene.

Insight into strategies adopted by the residents who passed exit fellowship examination in first few attempts

2020 ◽  
Vol 14 (1) ◽  
pp. 10-15
Author(s):  
Humera Zafar Ali Khan ◽  
Amina Ahmad ◽  
Abid Ashar ◽  
Hamid Mahmood
Keyword(s):  
Learning Strategies ◽  
Self Efficacy ◽  
Self Regulation ◽  
Structural Description ◽  
Snowball Sampling ◽  
Emotional Wellbeing ◽  
Self Directed Learning ◽  
Self Confidence ◽  
Helpful Factors ◽  
Emotional Burnout

Background: The residents who pass exit fellowship examination in few attempts adopt certain strategies for early success. The lived experiences of residents passing FCPS final examination in few attempts, barriers to success and strategies to overcome those barriers were studied. Participants and methodology: This phenomenological research study was conducted at Services Hospital, Lahore, Pakistan from June 2015 to May 2017. Purposeful snowball sampling was done. Eleven residents who passed their Final FCPS examination in few attempts, in the last 15 years were included in the study. Semi-structured open-ended interview of the residents was audio-recorded and transcribed. Three themes of helpful factors, barriers encountered and suggestions to overcome those barriers to get through the final FCPS examination and the emerging sub-themes were analyzed and textural and structural description were assigned. Results: Three themes were based on the aim of study and their related emerging sub-themes were found. The helpful factors included self-directed learning, peer assisted learning, interactive educational environment, rehearsal and self-determination. Barriers encountered were related to learning difficulties, competing responsibilities and physical and emotional burnout. Lastly, suggestions to overcome the barriers were use of multiple technology based learning strategies, developing self-confidence and self-efficacy together with prioritization of emotional and physical wellbeing. Conclusions: This study found that self-regulation and internal motivation were important strategies for success in the FCPS exit examination. Barriers can be overcome through technology based learning and increased self-efficacy and prioritizing physical and emotional wellbeing.

Structural description model for video

2013 ◽  
Vol 32 (9) ◽  
pp. 2560-2563 ◽  
Author(s):  
Mao-sheng FU ◽  
Bin LUO ◽  
Yong-long WU ◽  
Min KONG
Keyword(s):  
Structural Description

Superquadrics Model-based 3D Object Localization Algorithm

ROBOT ◽  
2013 ◽  
Vol 35 (4) ◽  
pp. 439 ◽  
Author(s):  
Lin WANG ◽  
Jianfu CAO ◽  
Chongzhao HAN
Keyword(s):  
Object Localization ◽  
Localization Algorithm ◽  
3D Object ◽  
Model Based

Kant’s ‘Transcendental Deduction’

2018 ◽  
Author(s):  
Barry Stroud
Keyword(s):  
A Priori ◽  
Human Mind ◽  
Critical Assessment ◽  
Structural Description ◽  
A Posteriori ◽  
Human Knowledge ◽  
Transcendental Deduction ◽  
The World ◽  
Empirical Realism

This chapter presents a straightforward structural description of Immanuel Kant’s conception of what the transcendental deduction is supposed to do, and how it is supposed to do it. The ‘deduction’ Kant thinks is needed for understanding the human mind would establish and explain our ‘right’ or ‘entitlement’ to something we seem to possess and employ in ‘the highly complicated web of human knowledge’. This is: experience, concepts, and principles. The chapter explains the point and strategy of the ‘deduction’ as Kant understands it, as well as the demanding conditions of its success, without entering into complexities of interpretation or critical assessment of the degree of success actually achieved. It also analyses Kant’s arguments regarding a priori concepts as well as a posteriori knowledge of the world around us, along with his claim that our position in the world must be understood as ‘empirical realism’.

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