Smoke Removal and Image Enhancement of Laparoscopic Images by An Artificial Multi-Exposure Image Fusion Method

In laparoscopic surgery, image quality is often degraded by surgical smoke or by side effects of the illumination system, such as reflections, specularities, and non-uniform illumination. The degraded images complicate the work of the surgeons and may lead to errors in image-guided surgery. Existing enhancement algorithms mainly focus on enhancing global image contrast, overlooking local contrast. Here, we propose a new Patch Adaptive Structure Decomposition utilizing the Multi-Exposure Fusion (PASD-MEF) technique to enhance the local contrast of laparoscopic images for better visualization. The set of under-exposure level images are obtained from a single input blurred image by using gamma correction. Spatial linear saturation is applied to enhance image contrast and to adjust the image saturation. The Multi-Exposure Fusion (MEF) is used on a series of multi-exposure images to obtain a single clear and smoke-free fused image. MEF is applied by using adaptive structure decomposition on all image patches. Image entropy based on the texture energy is used to calculate image energy strength. The texture entropy energy determined the patch size that is useful in the decomposition of image structure. The proposed method effectively eliminate smoke and enhance the degraded laparoscopic images. The qualitative results showed that the visual quality of the resultant images is improved and smoke-free. Furthermore, the quantitative scores computed of the metrics: FADE, Blur, JNBM, and Edge Intensity are significantly improved as compared to other existing methods.

Robust dynamic inversion control of flight control system based on L1 adaptive structure

Nonlinear Dynamic Inversion(NDI) control has excellent rapidity and decoupling ability, unfortunately it lacks the essential robustness to disturbance. From the perspective of enhancing the robustness, an adaptive NDI method based on L1 adaptive structure is proposed. The L1 adaptive structure is introduced into the NDI control to enhance its robustness, which also guarantees the stability and expected dynamic performance of the system suffering from the disturbance influence. Secondly, the flight control law of the advanced aircraft is designed based on the present method to improve the robustness and fault tolerance of the flight control system. Finally, the effectiveness of the flight control law based on the present approach is verified under the fault disturbance. The results showed that the flight control law based on L1 adaptive NDI has excellent dynamic performance and strong robustness to parameter uncertainties and disturbances.

Conversations of Flux and Threshold: Generating an architectural language of art and adaptability.

<p><b>This thesis investigates two architectural interests of mine, creative practice and the architectural threshold. The research unfolds as the relationship between these two interests develop into a dialogue that explores an adaptive architectural language.</b></p> <p>This research is situated in the context of Mana, Porirua. Porirua’s rapid development into a city has left behind villages such as Mana, that have not kept up with the fast pace of society. With an expectation for growth, this research proposes a framework for adaptable community space at the centre of the village. The framework aims to densify and activate the suburb and alleviate the car-centric pressures on the pedestrian experience.</p> <p>What kind of architectural language is produced through challenging the static nature of the architectural threshold and how might this be impacted by my own creative practices?</p> <p>Following a design-led research structure, my findings through exploratory creative practice work led the research towards the architectural proposal. I developed the relationship between thresholds and creative practices through extensive drawing and model making. By analysing and critically reflecting on this work, an architectural language was revealed. The design proposal was conceived through investigating my interests in creative practice and thresholds through the site in Mana. The result is an adaptive structure that references ideas found in assembly temporality represented through my creative lens.</p>

Conversations of Flux and Threshold: Generating an architectural language of art and adaptability.

<p><b>This thesis investigates two architectural interests of mine, creative practice and the architectural threshold. The research unfolds as the relationship between these two interests develop into a dialogue that explores an adaptive architectural language.</b></p> <p>This research is situated in the context of Mana, Porirua. Porirua’s rapid development into a city has left behind villages such as Mana, that have not kept up with the fast pace of society. With an expectation for growth, this research proposes a framework for adaptable community space at the centre of the village. The framework aims to densify and activate the suburb and alleviate the car-centric pressures on the pedestrian experience.</p> <p>What kind of architectural language is produced through challenging the static nature of the architectural threshold and how might this be impacted by my own creative practices?</p> <p>Following a design-led research structure, my findings through exploratory creative practice work led the research towards the architectural proposal. I developed the relationship between thresholds and creative practices through extensive drawing and model making. By analysing and critically reflecting on this work, an architectural language was revealed. The design proposal was conceived through investigating my interests in creative practice and thresholds through the site in Mana. The result is an adaptive structure that references ideas found in assembly temporality represented through my creative lens.</p>

Trajectory Tracking with Adaptive Robust Control for Quadrotor

This work proposes three robust mechanisms based on the MIT rule and the sliding-mode techniques. These robust mechanisms have to tune the gains of an adaptive Proportional-Derivative controller to steer a quadrotor in a predefined trajectory. The adaptive structure is a model reference adaptive control (MRAC). The robust mechanisms proposed to achieve the control objective (trajectory tracking) are MIT rule, MIT rule with sliding mode (MIT-SM), MIT rule with twisting (MIT-Twisting), and MIT rule with high order sliding mode (MIT-HOSM).

Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data

Incomplete multi-view clustering aims to cluster samples with missing views, which has drawn more and more research interest. Although several methods have been developed for incomplete multi-view clustering, they fail to extract and exploit the comprehensive global and local structure of multi-view data, so their clustering performance is limited. This paper proposes a Clustering-induced Adaptive Structure Enhancing Network (CASEN) for incomplete multi-view clustering, which is an end-to-end trainable framework that jointly conducts multi-view structure enhancing and data clustering. Our method adopts multi-view autoencoder to infer the missing features of the incomplete samples. Then, we perform adaptive graph learning and graph convolution on the reconstructed complete multi-view data to effectively extract data structure. Moreover, we use multiple kernel clustering to integrate the global and local structure for clustering, and the clustering results in turn are used to enhance the data structure. Extensive experiments on several benchmark datasets demonstrate that our method can comprehensively obtain the structure of incomplete multi-view data and achieve superior performance compared to the other methods.

Modeling and Optimization of Additive Systems Based on Intelligent Technologies

An algorithm for identifying the structure and parameters of the aggregation model of additive systems is presented. Simulation modeling is used. For each alternative, the numbers of the strength levels of the materials that are included in the analyzed structure are determined. the scheme of identification of the adaptive structure of the analyzed object is presented. Algorithms of intelligent decision-making support when forming the structure of an object are presented.