As the core of GPU processing, the performance of Unified rendering array is directly affected by the shader driver. On the basis of research the structure of Unified rendering array processing, this paper proposes a ...
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The technical requirements of the control rod driving mechanism of the third generation PWR nuclear power plant are higher. The latch parts are designed with double tooth structure and welded on the wear-resistant sur...
The technical requirements of the control rod driving mechanism of the third generation PWR nuclear power plant are higher. The latch parts are designed with double tooth structure and welded on the wear-resistant surface by cobalt-based alloy surfacing. According to the structural characteristics and manufacturing process difficulties, a special welding device is developed. According to the test and finite element simulation, the related process parameters are optimized. The trial production of the parts was completed, and the parts were tested by metallography, liquid permeation test, hardness test and thermal life test. The results show that the latch parts have high hardness and wear resistance, and meet the requirements of the driving mechanism operation life of the third generation PWR nuclear power plant.
In the current practice of multi-axis machining of freeform surfaces, the interface surface between the roughing and finishing process is simply an offset surface of the nominal surface. While there have already been ...
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In the current practice of multi-axis machining of freeform surfaces, the interface surface between the roughing and finishing process is simply an offset surface of the nominal surface. While there have already been attempts at minimizing the machining time by considering the kinematic capacities of the machine tool and/or the physical constraints such as the cutting force, they all target independently at either the finishing or the roughing process alone and are based on the simple premise of an offset interface surface. Conceivably, since the total machining time should count that of both roughing and finishing process and both of them crucially depend on the interface surface, it is natural to ask if, under the same kinematic capacities and the same physical constraints, there is a nontrivial interface surface whose corresponding total machining time will be the minimum among all the possible(infinite) choices of interface surfaces, and this is the motivation behind the work of this paper. Specifically, with respect to the specific type of iso-planar milling for both roughing and finishing, we present a practical algorithm for determining such an optimal interface surface for an arbitrary freeform surface. While the algorithm is proposed for iso-planar milling, it can be easily adapted to other types of milling strategy such as contour milling. Both computer simulation and physical cutting experiments of the proposed method have convincingly demonstrated its advantages over the traditional simple offset method.
Combat search and rescue(CSAR) is a significant part of joint combat operation. The isolated personnel in hostile territory is of great value to both sides. For the sake of extremely high cost and massive consumptio...
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Combat search and rescue(CSAR) is a significant part of joint combat operation. The isolated personnel in hostile territory is of great value to both sides. For the sake of extremely high cost and massive consumption of time in military exercises, virtual reality is a preferred way to conduct the experiment. Mixed reality, known as MR, allows users to interact with the virtual objects, as well as the real objects. With MR devices, commanders get a better awareness of both virtual combat and real environment. Agent-based modelling is a relatively new approach to modelling systems composed of interacting objects. By analyzing the decision-making process of agents, codes are written to drive the simulation. Finally, the whole system is applied to HoloLens to provide a holographic demonstration.
Facile detection, differentiation, and detoxification of multiple heavy metal ions in a simple molecule design presents an ultimate challenge.[1] Here we reported a coumarin-thiazolidine based theranostic fluorescent ...
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Facile detection, differentiation, and detoxification of multiple heavy metal ions in a simple molecule design presents an ultimate challenge.[1] Here we reported a coumarin-thiazolidine based theranostic fluorescent probe 1(R=Et) with two latent metal ion binding sites and two distinctive hydrolysis sites which are promoted by metal-ion-complexation for achieving divergent fluorescence responses for the three heavy metal ions: an "on-off" response for Ag+, an "off-on" response for Hg2+, and a self-threshold ratiometric fluorescence response for Cu2+. The probe 1 also showed cell-protective effects comparable to D-penicillamine against Ag+, Cu2+, or Hg2+-induced cytotoxicity in MCF-7 cells.[2] By studying the fluorescence response and mechanism of the probe for Cu2+, we proposed a new concept of "self-threshold fluorescent probe" in fluorescent probe design. Such a probe gives cut-out fluorescence readout when the concentration of the analyte of interest above a certain threshold that is dependent on the probe’s concentration. The key to the self-threshold fluorescent probe design is the sequential binding of two different binding sites with differentiable fluorescence readout. Such a self-threshold fluorescent probe is particularly useful for determining whether concentration of the analyte of interest is over a certain limit or not. [2] Moreover, we also find that allosteric effect may also contribute to the sequential binding of the Cu2+ and the self-threshold fluorescence readout. [2]
BACKGROUND:Skin cancer is one of the highly occurring diseases in human life. Early detection and treatment are the prime and necessary points to reduce the malignancy of infections. Deep learning techniques are suppl...
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BACKGROUND:Skin cancer is one of the highly occurring diseases in human life. Early detection and treatment are the prime and necessary points to reduce the malignancy of infections. Deep learning techniques are supplementary tools to assist clinical experts in detecting and localizing skin lesions. Vision transformers (ViT) based on image segmentation classification using multiple classes provide fairly accurate detection and are gaining more popularity due to legitimate multiclass prediction capabilities.
MATERIALS AND METHODS:In this research, we propose a new ViT Gradient-Weighted Class Activation Mapping (GradCAM) based architecture named ViT-GradCAM for detecting and classifying skin lesions by spreading ratio on the lesion's surface area. The proposed system is trained and validated using a HAM 10000 dataset by studying seven skin lesions. The database comprises 10 015 dermatoscopic images of varied sizes. The data preprocessing and data augmentation techniques are applied to overcome the class imbalance issues and improve the model's performance.
RESULT:The proposed algorithm is based on ViT models that classify the dermatoscopic images into seven classes with an accuracy of 97.28%, precision of 98.51, recall of 95.2%, and an F1 score of 94.6, respectively. The proposed ViT-GradCAM obtains better and more accurate detection and classification than other state-of-the-art deep learning-based skin lesion detection models. The architecture of ViT-GradCAM is extensively visualized to highlight the actual pixels in essential regions associated with skin-specific pathologies.
CONCLUSION:This research proposes an alternate solution to overcome the challenges of detecting and classifying skin lesions using ViTs and GradCAM, which play a significant role in detecting and classifying skin lesions accurately rather than relying solely on deep learning models.
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