scholarly journals CNN with Pose Segmentation for Suspicious Object Detection in MMW Security Images

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4974 ◽  
Author(s):  
Zhichao Meng ◽  
Man Zhang ◽  
Hongxian Wang
Keyword(s):  
Object Recognition ◽  
Object Detection ◽  
Binary Classification ◽  
Three Dimensional ◽  
Recognition Task ◽  
Body Part ◽  
The Body ◽  
Deep Cnn ◽  
Human Pose ◽  
Weak Shape

Millimeter-wave (MMW) imaging scanners can see through clothing to form a three-dimensional holographic image of the human body and suspicious objects, providing a harmless alternative for non-contacting searches in security check. Suspicious object detection in MMW images is challenging, since most of them are small, reflection-weak, shape, and reflection-diverse. Conventional detectors with artificial neural networks, like convolution neural network (CNN), usually take the problem of finding suspicious objects as an object recognition task, yielding difficulties in developing large-amount and complete sample sets of objects. In this paper, a new algorithm is developed using the human pose segmentation followed by the deep CNN detection. The algorithm is emphasized to learn the similarity with humans’ body clutter applied to training corresponding CNNs after the image segmentation base of the pose estimation. Moreover, the suspicious object recognition in the MMW image is converted to a binary classification task. Instead of recognizing all sorts of suspicious objects, the CNN detector determines whether the body part images present the abnormal patterns containing suspicious objects. The proposed algorithm that is based on CNN with the pose segmentation has concise configuration, but optimal performance in the suspicious object detection. Extensive experiments confirm the effectiveness and superiority of the proposal.

scholarly journals Structure encoding in DNA

2019 ◽  
Author(s):  
Antony Van der Mude
Keyword(s):  
Fine Structure ◽  
Three Dimensional ◽  
Body Part ◽  
Cellular Level ◽  
The Body ◽  
Local Context ◽  
Body Parts ◽  
Cell Type ◽  
Regulatory Cascade ◽  
Non Coding Rna

It is proposed that transposons and related long non–coding RNA define the fine structure of body parts. Although morphogens have long been known to direct the formation of many gross structures in early embryonic development, they do not have the necessary precision to define a structure down to the individual cellular level. Using the distinction between procedural and declarative knowledge in information processing as an analogy, it is hypothesized that DNA encodes fine structure in a manner that is different from the genetic code for proteins. The hypothesis states that repeated or near–repeated sequences that are in transposons and non–coding RNA define body part structures. As the cells in a body part go through the epigenetic process of differentiation, the action of methylation serves to inactivate all but the relevant structure definitions and some associated cell type genes. The transposons left active will then physically modify the DNA sequence in the heterochromatin to establish the local context in the three–dimensional body part structure. This brings the encoded definition of the cell type to the histone. The histone code for that cell type starts the regulatory cascade that turns on the genes associated with that particular type of cell, transforming it from a multipotent cell to a fully differentiated cell. This mechanism creates structures in the musculoskeletal system, the organs of the body, the major parts of the brain, and other systems.

scholarly journals Application of the finite element method to the design of an ankle orthosis

2021 ◽  
Vol 2130 (1) ◽  
pp. 012013
Author(s):  
D Stefańczak ◽  
J Gajewski ◽  
M Rogala
Keyword(s):  
Finite Element ◽  
Low Cost ◽  
Three Dimensional ◽  
Fem Analysis ◽  
Body Part ◽  
The Body ◽  
Design Stage ◽  
Mechanical Resistance ◽  
Three Dimensional Model ◽  
Element Analysis

Abstract AFO (Ankle-Foot Orthosis), which covers the ankle and foot, protects and supports the ankle joint as well as the structures around it. It contributes to the maintenance of the correct gait cycle. Owing to orthoses, the functional capacity of the body part is significantly improved, and so is the quality of life for the user. Personalized orthoses, which are adapted to the anatomy of the user, are more and more often produced by the additive methods. The use of 3D printing for the manufacturing medical devices is becoming increasingly common due to the low cost of the whole process, short production time and the possibility of the product personalization. One of the stages in manufacturing AFOs with the additive method is to create a three-dimensional model of the orthosis in CAD software. Finite element analysis was performed to assess the mechanical properties of the orthosis. The influence of geometry and the materials used were investigated with FEM analysis software. As a result of structural analysis during the design stage, the assessment of the medical device in terms of its durability and mechanical resistance without putting the user at risk is possible. On the basis of the obtained results, the structure strength was compared.

scholarly journals Turbulent wake past a three-dimensional blunt body. Part 1. Global modes and bi-stability

2013 ◽  
Vol 722 ◽  
pp. 51-84 ◽  
Author(s):  
M. Grandemange ◽  
M. Gohlke ◽  
O. Cadot
Keyword(s):  
Time Scales ◽  
Three Dimensional ◽  
Body Part ◽  
The Body ◽  
Recirculation Region ◽  
Stream Velocity ◽  
Lateral Direction ◽  
Reduction Strategies ◽  
Long Time ◽  
The Impact

AbstractThe flow around the three-dimensional blunt geometry presented in the work of Ahmed, Ramm & Faitin (Tech. Rep., 1984) is investigated experimentally at $\mathit{Re}= {U}_{0} H/ \nu = 9. 2\times 1{0}^{4} $ (where ${U}_{0} $ is free-stream velocity, $H$ the height of the body and $\nu $ viscosity). The very large recirculation on the base responsible for the dominant part of the drag is characterized. The analyses of the coherent dynamics of the wake reveal the presence of two very distinctive time scales. At long time scales ${T}_{l} \sim 1{0}^{3} H/ {U}_{0} $, the recirculation region shifts between two preferred reflectional-symmetry-breaking positions leading to a statistically symmetric wake; the sequence of these asymmetric states is random. This bi-stable behaviour is independent of the Reynolds number but occurs only above a critical value of ground clearance. At short time scales ${T}_{s} \sim 5H/ {U}_{0} $, the wake presents weak coherent oscillations in the vertical and lateral directions. They are respectively associated with the interaction of the top/bottom and lateral shear layers; when normalized by the height and width of the body, the Strouhal numbers are close to 0.17. These results suggest an alternate shedding associated with the vertical oscillation and a one-sided vortex shedding in the lateral direction with an orientation linked to the current asymmetric position. Finally, the impact of these coherent wake motions on the base pressure is discussed to motivate further drag reduction strategies.

scholarly journals Structure encoding in DNA

2019 ◽  
Author(s):  
Antony Van der Mude
Keyword(s):  
Fine Structure ◽  
Three Dimensional ◽  
Body Part ◽  
Cellular Level ◽  
The Body ◽  
Local Context ◽  
Body Parts ◽  
Cell Type ◽  
Regulatory Cascade ◽  
Non Coding Rna

It is proposed that transposons and related long non–coding RNA define the fine structure of body parts. Although morphogens have long been known to direct the formation of many gross structures in early embryonic development, they do not have the necessary precision to define a structure down to the individual cellular level. Using the distinction between procedural and declarative knowledge in information processing as an analogy, it is hypothesized that DNA encodes fine structure in a manner that is different from the genetic code for proteins. The hypothesis states that repeated or near–repeated sequences that are in transposons and non–coding RNA define body part structures. As the cells in a body part go through the epigenetic process of differentiation, the action of methylation serves to inactivate all but the relevant structure definitions and some associated cell type genes. The transposons left active will then physically modify the DNA sequence in the heterochromatin to establish the local context in the three–dimensional body part structure. This brings the encoded definition of the cell type to the histone. The histone code for that cell type starts the regulatory cascade that turns on the genes associated with that particular type of cell, transforming it from a multipotent cell to a fully differentiated cell. This mechanism creates structures in the musculoskeletal system, the organs of the body, the major parts of the brain, and other systems.

scholarly journals 3D Body Scan as Anthropometric Tool for Individualized Prosthetic Socks

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Eva Lindell ◽  
Hanna Tingsvik ◽  
Li Guo ◽  
Joel Peterson
Keyword(s):  
Three Dimensional ◽  
Body Part ◽  
Standing Position ◽  
The Body ◽  
Upper Body ◽  
Scanning Method ◽  
Body Scanning ◽  
The Right ◽  
Body Scanner

Abstract Every year, approximately 3,000 people in Sweden undergo amputation of a body part. The use of a prosthesis can greatly improve the quality of life for these people. To improve the fit and comfort of a prosthesis, a sock is used as an interface between the prosthesis socket and the stump. A three-dimensional (3D) body scanner can be used to take measurements that are used to produce individualized socks that improve fit and comfort. The standardized method for taking measurements with a 3D body scanner often requires a standing position and hence a new scanning method is needed to improve the accessibility for 3D body scanning. This study aimed to create a scanning scenario and an algorithm for scanning amputation stumps for individualizing prosthesis socks for upper-body amputations. Vitronic VITUSSMART LC 3D Body Scanner was used in this study. The results show a seated position with arms slightly away from the body, scanned at 45° as the best. To measure the right upper arm and the left armpit, the best was to scan at a 315° angle. Paired t-tests showed no significant differences compared with the 3D body scanner of traditional manual measurements. The proposed method exhibited good relative reliability and potential to facilitate the customization of prosthetic socks for amputees.

Scanning electron microscopy of freeze-fractured prescapular lymph node of caprine

1984 ◽  
Vol 42 ◽  
pp. 244-245
Author(s):  
O. Faroon ◽  
F. Al-Bagdadi ◽  
T. G. Snider ◽  
C. Titkemeyer
Keyword(s):  
Lymph Node ◽  
Lymph Nodes ◽  
Lymphatic System ◽  
Three Dimensional ◽  
Meat Products ◽  
The Body ◽  
Morphological Data ◽  
The World ◽  
Cellular Constituent ◽  
Scanning Electron

The lymphatic system is very important in the immunological activities of the body. Clinicians confirm the diagnosis of infectious diseases by palpating the involved cutaneous lymph node for changes in size, heat, and consistency. Clinical pathologists diagnose systemic diseases through biopsies of superficial lymph nodes. In many parts of the world the goat is considered as an important source of milk and meat products.The lymphatic system has been studied extensively. These studies lack precise information on the natural morphology of the lymph nodes and their vascular and cellular constituent. This is due to using improper technique for such studies. A few studies used the SEM, conducted by cutting the lymph node with a blade. The morphological data collected by this method are artificial and do not reflect the normal three dimensional surface of the examined area of the lymph node. SEM has been used to study the lymph vessels and lymph nodes of different animals. No information on the cutaneous lymph nodes of the goat has ever been collected using the scanning electron microscope.

Use It and Still Lose It?

GeroPsych ◽  
2010 ◽  
Vol 23 (3) ◽  
pp. 169-175 ◽  
Author(s):  
Adrian Schwaninger ◽  
Diana Hardmeier ◽  
Judith Riegelnig ◽  
Mike Martin
Keyword(s):  
Object Recognition ◽  
Cognitive Development ◽  
Recognition Test ◽  
Cognitive Aging ◽  
Recognition Task ◽  
Airport Security ◽  
Visual Object ◽  
Long Term Effects ◽  
Object Recognition Test ◽  
X Ray

In recent years, research on cognitive aging increasingly has focused on the cognitive development across middle adulthood. However, little is still known about the long-term effects of intensive job-specific training of fluid intellectual abilities. In this study we examined the effects of age- and job-specific practice of cognitive abilities on detection performance in airport security x-ray screening. In Experiment 1 (N = 308; 24–65 years), we examined performance in the X-ray Object Recognition Test (ORT), a speeded visual object recognition task in which participants have to find dangerous items in x-ray images of passenger bags; and in Experiment 2 (N = 155; 20–61 years) in an on-the-job object recognition test frequently used in baggage screening. Results from both experiments show high performance in older adults and significant negative age correlations that cannot be overcome by more years of job-specific experience. We discuss the implications of our findings for theories of lifespan cognitive development and training concepts.

scholarly journals A Two-Phase Fashion Apparel Detection Method Based on YOLOv4

2021 ◽  
Vol 11 (9) ◽  
pp. 3782
Author(s):  
Chu-Hui Lee ◽  
Chen-Wei Lin
Keyword(s):  
Object Detection ◽  
Transfer Learning ◽  
Detection Method ◽  
Phase Transfer ◽  
Recognition Task ◽  
Phase Detection ◽  
Target Domain ◽  
Two Phase ◽  
Detection Technology ◽  
Fashion Apparel

Object detection is one of the important technologies in the field of computer vision. In the area of fashion apparel, object detection technology has various applications, such as apparel recognition, apparel detection, fashion recommendation, and online search. The recognition task is difficult for a computer because fashion apparel images have different characteristics of clothing appearance and material. Currently, fast and accurate object detection is the most important goal in this field. In this study, we proposed a two-phase fashion apparel detection method named YOLOv4-TPD (YOLOv4 Two-Phase Detection), based on the YOLOv4 algorithm, to address this challenge. The target categories for model detection were divided into the jacket, top, pants, skirt, and bag. According to the definition of inductive transfer learning, the purpose was to transfer the knowledge from the source domain to the target domain that could improve the effect of tasks in the target domain. Therefore, we used the two-phase training method to implement the transfer learning. Finally, the experimental results showed that the mAP of our model was better than the original YOLOv4 model through the two-phase transfer learning. The proposed model has multiple potential applications, such as an automatic labeling system, style retrieval, and similarity detection.

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