1,021 research outputs found

    The state-of-art of underwater vehicles - Theories and applications

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    An autonomous underwater vehicle (AUV) is an underwater system that contains its own power and is controlled by an onboard computer. Although many names are given to these vehicles, such as remotely operated vehicles (ROVs), unmanned underwater vehicles (UUVs), submersible devices, or remote controlled submarines, to name just a few, the fundamental task for these devices is fairly well defined: The vehicle is able to follow a predefined trajectory. AUVs offer many advantages for performing difficult tasks submerged in water. The main advantage of an AUV is that is does not need a human operator. Therefore it is less expensive than a human operated vehicle and is capable of doing operations that are too dangerous for a person. They operate in conditions and perform task that humans are not able to do efficiently, or at all (Smallwood & Whitcomb, 2004; Horgan & Toal, 2006; Caccia, 2006)

    Cable-Climbing Robots for Power Line Inspection

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    Power transmission line inspection is of utmost importance for power companies towards having sustainable electricity supply to vast number of customers in major industries as well as households in a city. Inspection provides valuable data from status of the line, thus helps line engineers to plan for necessary repair or replacement works before any major damages which may result in outage. Constant energy supply to the customers requires performing all the inspection tasks without de-energizing the line, so live line inspection methods are of the most interest to power companies. These companies perform patrol inspection mainly using helicopters equipped with infrared and corona cameras to detect observable physical damages as well as some internal deterioration to the line and line equipment. However, aerial inspection is costly and always there is a risk of contact with live lines and loss of life. Moreover, there are some critical specifications of the line such as internal corrosion of steel reinforced aluminium conductors that should be inspected precisely from close distances to the line that are not accessible by a mobile platform such as a helicopter or even an unmanned aerial vehicle (UAV). Hence, power companies have endeavored to make especial cable-climbing robots to accomplish inspection tasks from close distances to the hot line. Thanks to technological advances, utilizing robots as reliable substitutes for human beings in hazardous environments such as live lines has become possible. For many tasks requiring high precision over a long period of time, robots even do their job better than human operators. However, power companies have mainly focused on automating inspection tasks more willingly than making autonomous systems to perform repair works on the live line due to the fact that repair works are often complex to be accomplished by a robot

    sj-docx-1-jdr-10.1177_00220345221089858 – Supplemental material for Histopathology-Based Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning

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    Supplemental material, sj-docx-1-jdr-10.1177_00220345221089858 for Histopathology-Based Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning by S.Y. Yang, S.H. Li, J.L. Liu, X.Q. Sun, Y.Y. Cen, R.Y. Ren, S.C. Ying, Y. Chen, Z.H. Zhao and W. Liao in Journal of Dental Research</p

    Simulation and experimental study of inverse heat conduction problem

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    In this paper, a neural network method is proposed to solve a one dimensional inverse heat conduction problem (IHCP). The method relies on input/output data of an unknown system to create an intelligent neural network model. Multi layer perceptrons with recurrent properties are utilised in the model. Prepared input/output data are used to train the neural network. Reliable checking processes are also offered to justify the robustness of the method. A numerical sequential function specification (SFS) method is used as another technique to solve the IHCP. The numerical result is compared with that of the proposed method and good agreement is shown between the two methods. However, the numerical method can be only used to solve the IHCP off-line due to the high computation requirement. The proposed neural network method can be used in real-time situations as shown in the experimental tests.Ley Chen, S Askarian, M Mohammadzaheri and F Samad

    FIGURES 2. Lactifluus hezhangensis. A–B in Lactifluus hezhangensis sp. nov. (Russulaceae, Russulales) from Southwest China

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    FIGURES 2. Lactifluus hezhangensis. A–B. Fresh basidiomata (holotype); C–D. SEM microphotographs, Scale bar: C–D = 2 µm, Photographs by A.M. Chen; E. Basidiospores; F. Marginal cells; G. Stipitipellis; H. Basidia; I. Pileipellis. Scale bars: E = 2 μm; G–I = 10 μm. Line drawings by X.Q. Zhou.Published as part of Chen, A-Min, Pei, Yun, Wen, Ting-Chi, Hapuarachchi, Kalani Kanchana, Xu, Xiu-Hong & Zhang, Wan-Ping, 2022, Lactifluus hezhangensis sp. nov. (Russulaceae, Russulales) from Southwest China, pp. 253-264 in Phytotaxa 575 (3) on page 259, DOI: 10.11646/phytotaxa.575.3.3, http://zenodo.org/record/743117

    A survey on C 1,1 fuctions: theory, numerical methods and applications

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    In this paper we survey some notions of generalized derivative for C 1,1 functions. Furthermore some optimality conditions and numerical methods for nonlinear minimization problems involving C1,1 data are studied.

    Intersubband Transition in GaN/InGaN Multiple Quantum Wells

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    Utilizing the growth temperature controlled epitaxy, high quality GaN/In0.15Ga0.85N multiple quantum wells designed for intersubband transition (ISBT) as novel candidates in III-nitride infrared device applications have been experimentally realized for the first time. Photo-absorption originated from the ISBT has been successfully observed at infrared regime covering the 3-5 mu m atmosphere window, where the central absorption wavelength is modulated by adjusting the quantum well width. With increasing the quantum well thickness, the ISBT center wave length blue shifts at thickness less than 2.8 nm and then redshifts with further increase of the well thickness. The non-monotonic trend is most likely due to the polarization induced asymmetric shape of the quantum wells.National Basic Research Program of China [2012CB619300, 2013CB632800]; National Natural Science Foundation of China [61225019, 61376060, 61411130214]; National High Technology Research &amp; Development Project of China [2014AA032606]; Beijing Municipal Science and Technology Project [Z131100005913001]SCI(E)[email protected]; [email protected]

    Assisting Open Education Resource providers and instructors to deal with cold start problem in adaptive micro learning: a service oriented solution

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    Various prior studies have leveraged cloud computing and big data techniques to promote adaptive micro open learning. However, this novel way of open education resource (OER) delivery and access suffers from the cold start problem of learner information. In this paper, we introduce a service oriented solution to assist OER providers and instructors to deal with the sparsity of data in OER recommendation using an ontological approach. Learners' features are predicted by spreading activation and demographic similarity based inference. An evolutionary algorithm is provided to realize the OER recommendation in terms of heuristic rules

    The pressure gradient for heterogeneous flow of coal, sand and iron in pipelines

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    The existing relationships based on Durand's method to predict pressure gradients for slurry flow in pipelines appear to be inadequate when accounting for a wide range of variables such as particle size and relative density as well as concentration. Using the coal, sand and iron ore data collected from various literature sources with the aid of non-dimensional analysis, new equations for the case of the heterogeneous flow regime were derived on the base of nondimensional parameters. The equations have the same structure for each material considered, but the coefficients are different.Civil Engineering and Geoscience
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