Automatic recognition of parasitic bee species using wing vein shape

Health care for independently living elders is more important than ever. Automatic recognition of their Activities of Daily Living (ADL) is the first step to solving the health care issues faced by seniors in an efficient way. The paper describes a Deep Neural Network (DNN)-based recognition system aimed at facilitating smart care, which combines ADL recognition, image/video processing, movement calculation, and DNN. An algorithm is developed for processing skeletal data, filtering noise, and pattern recognition for identification of the 10 most common ADL including standing, bending, squatting, sitting, eating, hand holding, hand raising, sitting plus drinking, standing plus drinking, and falling. The evaluation results show that this DNN-based system is suitable method for dealing with ADL recognition with an accuracy rate of over 95%. The findings support the feasibility of this system that is efficient enough for both practical and academic applications.

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CAD integrated automatic recognition of weld paths

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-021-07186-0 ◽

2021 ◽

Author(s):

Tuan Anh Tran ◽

Andrei Lobov ◽

Tord Hansen Kaasa ◽

Morten Bjelland ◽

Ole Terje Midling

Keyword(s):

Life Cycle ◽

Spatial Analysis ◽

Product Life Cycle ◽

Real Life ◽

Automatic Recognition ◽

Integrated Method ◽

Weld Joints ◽

Related Information ◽

Almost All ◽

Sequential Assembly

AbstractIn this paper, a CAD integrated method is proposed for automatic recognition of potential weld locations in large assembly structures predominantly comprised of weld joints. The intention is to reduce the total man-hours spent on manually locating, assigning, and maintaining weld-related information throughout the product life cycle. The method utilizes spatial analysis of extracted stereolithographic data in combination with available CAD functions to determine whether the accessibility surrounding a given intersection edge is sufficient for welding. To demonstrate the method, a system is developed in Siemens NX using their NXOpen Python API. The paper presents the application of the method to real-life use cases in varying complexity in cooperation with industrial partners. The system is able to correctly recognize almost all weld lines for the parts considered within a few minutes. Some exceptions are known for particular intersection lines located deep within notched joints and geometries weldable through sequential assembly, which are left as a subject to further works.

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The vrille Gene of Drosophila Is a Maternal Enhancer of decapentaplegic and Encodes a New Member of the bZIP Family of Transcription Factors

Genetics ◽

10.1093/genetics/146.4.1345 ◽

1997 ◽

Vol 146 (4) ◽

pp. 1345-1363 ◽

Cited By ~ 3

Author(s):

Hélène George ◽

Régine Terracol

Keyword(s):

Transcription Factors ◽

Signal Transduction Pathway ◽

Dorsoventral Patterning ◽

Wing Vein ◽

Human T Cell ◽

Tadpole Tail ◽

Bzip Domain ◽

Bzip Family ◽

Mutation Allele

We report here the genetical and molecular characterization of a new Drosophila zygotic lethal locus, vrille (vri). vri alleles act not only as dominant maternal enhancers of embryonic dorsoventral patterning defects caused by easter and decapentaplegic (dpp) mutations, but also as dominant zygotic enhancers of dpp alleles for phenotypes in wing. The vri gene encodes a new member of the bZIP family of transcription factors closely related to gene 9 of Xenopus laevis, induced by thyroid hormone during the tadpole tail resorption program, and NF-IL3A, a human T cell transcription factor that transactivates the interleukin-3 promoter. NF-IL3A shares 93% similarity and 60% identity with Vri for a stretch of 68 amino acids that includes the bZIP domain. Although all the alleles tested behave like antimorphs, the dominant enhancement is also seen with a nonsense mutation allele that prevents translation of the bZIP domain. Because of the strong dominant enhancement of dpp phenotypes by vri alleles in both embryo and wing, and also the similarity between the wing vein phenotypes caused by the vri and shortvein dpp alleles, we postulate that vri interacts either directly or indirectly with certain components of the dpp (a TGFβ homologue) signal transduction pathway.

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