18 research outputs found

    Figure 4 in Brood nest of Piranthus planolancis (Araneae: Salticidae: Baviini)

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    Figure 4 (continued on next page). Three (1-3, 4-6, 7-8) adult female Piranthus planolancis at the Indraprastha Organic Farm of the senior author (Abhijith), Kalalwadi Village, Mysuru, India.Published as part of C., Abhijith A. P. & Hill, David E., 2023, Brood nest of Piranthus planolancis (Araneae: Salticidae: Baviini), pp. 1-6 in Peckhamia 290 (1) on page 4, DOI: 10.5281/zenodo.756969

    Figure 2 in Brood nest of Piranthus planolancis (Araneae: Salticidae: Baviini)

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    Figure 2. Immature Piranthus planolancis at the Indraprastha Organic Farm of the senior author (Abhijith), Kalalwadi Village, Mysuru, India.Published as part of C., Abhijith A. P. & Hill, David E., 2023, Brood nest of Piranthus planolancis (Araneae: Salticidae: Baviini), pp. 1-6 in Peckhamia 290 (1) on page 2, DOI: 10.5281/zenodo.756969

    Figure 3 in Brood nest of Piranthus planolancis (Araneae: Salticidae: Baviini)

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    Figure 3 (continued on next page). Adult male Piranthus planolancis at the Indraprastha Organic Farm of the senior author (Abhijith), Kalalwadi Village, Mysuru, India.Published as part of C., Abhijith A. P. & Hill, David E., 2023, Brood nest of Piranthus planolancis (Araneae: Salticidae: Baviini), pp. 1-6 in Peckhamia 290 (1) on page 2, DOI: 10.5281/zenodo.756969

    Figure 1. Evidence found under a in A short-lived mantispid in an Asemonea nest: parasitoid and prey?

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    Figure 1. Evidence found under a leaf on the Indraprastha Organic Farm of the senior author (Abhijith) at Mysuru, Karnataka, India (16 JUL 2022). 1, Recently-fed female Asemonea tenuipes. 2, Mantispid cocoon and exuvium. 3, Fragment of mantispid. 4-6, Relative positions of spider, cocoon, and mantispid. 7, Earlier (20 AUG 2019) photograph of an adult mantispid that emerged from the nest of a different A. tenuipes, at the same locality (Abhijith & Hill 2019).Published as part of C., Abhijith A. P. & Hill, David E., 2022, A short-lived mantispid in an Asemonea nest: parasitoid and prey?, pp. 1-2 in Peckhamia 277 (1) on page 1, DOI: 10.5281/zenodo.717174

    Controllability of a Class of Heterogeneous Networked Systems

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    This paper examines the controllability of a class of heterogeneous networked systems where the nodes are linear time-invariant systems (LTI), and the network topology is triangularizable. The literature contains necessary and sufficient conditions for the controllability of such systems where the control input matrices are identical in each node. Here, we extend this result to a class of heterogeneous systems where the control input matrices are distinct in each node. Additionally, we discuss the controllability of a more general system with triangular network topology and obtain necessary and sufficient conditions for controllability. Theoretical results are supplemented with numerical examples

    Controllability of a Class of Nonlinear Networked Systems

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    Various controllability conditions have been obtained by researchers for heterogeneous networked systems with linear dynamics. However, the literature for nonlinear, heterogeneous networked systems is comparatively less. In this paper we analyse the controllabiity aspect of a nonlinearly perturbed linear networked system. The basic assumption is that the linear system is controllable and the nonlinear perturbation functions satisfy Holder continuity condition and in particular Lipschitz condition. The Boyd-Wong fixed point theorem is employed to prove controllability of the nonlinear system. The result is illustrated with numerical examples

    Personalisation of safety shoe inlay soles using dynamic foot data

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    This thesis project was carried out as a part of Ultrapersonalised Products & Services (nextUPPS.nl) as a collaboration between TU Delft and Bata Industrials B.V. To integrate new technologies of Industry 4.0 to enhance product and user experience, Bata Industrials, with a facility in Best, Netherlands, partnered with nextUPPS. An opportunity was identified to implement mass personalization of inlay soles by leveraging emerging technologies such as 3D scanning and 3D printing.During this project, extensive literature research was conducted into the biomechanics of feet, the factors influencing the design of inlay soles and shoes, and advancements in 3D printing. State-of-the-art technologies and methodologies for personalized footwear, with a focus on orthotics, were also explored. Insights were gathered from experts in orthotics and inlay sole manufacturing. Additionally, data regarding dynamic plantar pressure during various activities and 3D scanning under different loads and postures were collected for subsequent analysis. Observations were made on this data to understand foot behavior, which helped filter relevant parameters for inlay sole development. Based on the research findings, a comprehensive list of requirements was formulated, encompassing all the gathered data that the inlay sole needed to adhere to.Fused Deposition Modeling (FDM) 3D printing of Thermoplastic polyurethane (TPU) was identified as a viable and cost-effective approach for manufacturing inlay soles. To investigate this, experiments were conducted involving the mechanical testing of samples with different lattice sizes and various TPU variants, aiming to optimize 3D printing materials and parameters. The potential for multi-material printing was also explored during these experiments.Using the insights gleaned from these efforts, a 3D-printable inlay sole was meticulously designed. Its internal structure featured a field-driven variable gyroid lattice pattern, informed by peak pressure pedobarographic data collected during walking. The shape of the inlay sole was derived from 3D scans of the user’s feet. Multiple iterations were undertaken, incorporating user feedback, prototyping, and expert interviews to refine its design.A prototype shell shoe was created specifically to evaluate the performance of the newly developed inlay sole with users. Pressure measurements and interviews were conducted comparing the new design to the conventional one. The test results confirm the design’s effectiveness and underscore the importance of personalization in the inlay sole.The conclusive insole design, along with the corresponding workflow, as well as recommendations for forthcoming actions, equips Bata to potentially launch and market the production of personalized inlay soles for their safety shoes in the future.Integrated Product Desig

    Study of the bioactivities of the extract of mulberry leaves and silkworm droppings

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    This Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page

    Utility metric for unsupervised feature selection

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    Feature selection techniques are very useful approaches for dimensionality reduction in data analysis. They provide interpretable results by reducing the dimensions of the data to a subset of the original set of features. When the data lack annotations, unsupervised feature selectors are required for their analysis. Several algorithms for this aim exist in the literature, but despite their large applicability, they can be very inaccessible or cumbersome to use, mainly due to the need for tuning non-intuitive parameters and the high computational demands. In this work, a publicly available ready-to-use unsupervised feature selector is proposed, with comparable results to the state-of-the-art at a much lower computational cost. The suggested approach belongs to the methods known as spectral feature selectors. These methods generally consist of two stages: manifold learning and subset selection. In the first stage, the underlying structures in the high-dimensional data are extracted, while in the second stage a subset of the features is selected to replicate these structures. This paper suggests two contributions to this field, related to each of the stages involved. In the manifold learning stage, the effect of non-linearities in the data is explored, making use of a radial basis function (RBF) kernel, for which an alternative solution for the estimation of the kernel parameter is presented for cases with high-dimensional data. Additionally, the use of a backwards greedy approach based on the least-squares utility metric for the subset selection stage is proposed. The combination of these new ingredients results in the utility metric for unsupervised feature selection U2FS algorithm. The proposed U2FS algorithm succeeds in selecting the correct features in a simulation environment. In addition, the performance of the method on benchmark datasets is comparable to the state-of-the-art, while requiring less computational time. Moreover, unlike the state-of-the-art, U2FS does not require any tuning of parameters.Signal Processing System

    Search for low mass multijet physics at the Large Hadron Collider

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    We have performed a search for pair-produced two and three quark resonances decaying into two merged jets and pairs of three resolved quark jets. The proton-proton collision data used for this analysis were collected with the CMS detector at a center-of-mass energy of 13 TeV using data scouting techniques. The sensitivity of the search was improved by implementing a neural network-based quark-gluon jet discriminator. The results are interpreted within the framework of R-parity-violating SUSY, where pair-produced higgsinos, gluinos, and stops are used as benchmark models. This is a first-ever search to probe the electroweak production regime of R-parity-violating SUSY in the fully hadronic final states.Ph.D.Includes bibliographical reference
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