Defending on networks : applying game theory to prevent illegal activities in structured security domains by Wang, Xinrun

“…Several important contributions are made to solve this problem including: i) a linear relaxation approximation which reformulates the problem into a bilinear optimization problem, ii) an algorithm based on the Multi- pleparametric Disaggregation Technique (MDT) to solve the bilinear program, and iii)an iterative algorithm to further improve the scalability. …”
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Querying and mining complex graphs : uncertainty and multi-relations by Ke, Xiangyu

“…We formally characterized the problem and provided an iterative solution. The efficiency of the seed finding part was improved by up to 30%, while the accuracy of the topic finding part was improved by up to 30%. …”
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Deep learning methods for scene text detection by Liu, Zichuan

“…Different from traditional top-down text detection methods, our MCN can be treated as a bottom-up method. It iteratively aggregates local predictions into a global object representation, which is robust to texts with large aspect ratios and highly varying orientations. …”
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Machine learning-based image demosaicing by Zhou, Huan

“…It shows that the demosaicked color images are closer to the ground truth with less image artifacts, and there is an extra 1.31 dB improvements on Kodak test dataset and 1.11 dB gains on the Imax test dataset, in addition to what the most advanced signal processing-based method (iterative residual interpolation, IRI) has achieved. …”
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A framework for human-robot interaction with a mobile and telepresence enabled anthropomorphic robot by Pang, Wee Ching

“…Past software frameworks for similar platforms were limited by a focus only on the navigation aspect, neglecting the gesticulation and conversation aspects or simply multiple iterations of the same robot. This thesis describes the conceptualization of a framework that unifies the navigation, gesticulation and conversation aspects with adjustable autonomy. …”
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Eikonal equation-based seismic anisotropy tomography and its application to the imaging of the crust and uppermost mantle by Liu, Yongsheng

“…Multiple grids are utilized to parametrize the model space in the inversion. At each iteration, the output model is the average of the multiple models achieved from all the inversion grids. …”
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Using deep learning for quality control in cyber-manufacturing by Dai, Wenting

“…Then, while excluding all safe pixels, the proposed method repairs suspicious regions that have large deviations to the original input image. After several iterations of reparation, the defects can be detected in the final residual maps between inputs and the repaired outputs. …”
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帝国的超级符号：香港流行文化中的英女王 = The super-sign of empire: Queen Elizabeth II in Hong Kong popular culture by 蔡佳恩 Chai, Jia En

“…This study explores the image of the Queen and the cultural production of Hong Kongers through the analysis and collation of documentation, film and television, songs, and other popular culture in Hong Kong to analyze the iterations of Hong Kong’s colonial history from “Anti-Colonialism” to “Pro-Colonialism”. …”
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Blockchain applications for peer-to-peer energy trading by Yang, Jiawei

“…A double auction based simple iteration (DA-SI) pricing scheme is designed to generate the optimal trading price for the microgrid prosumers to save their trading cost and improve the social welfare of the whole microgrid. …”
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Towards robust and label-efficient time series representation learning by Emadeldeen Ahmed Ibrahim Ahmed Eldele

“…To overcome these challenges, we incorporate an unshared attention mechanism and an iterative self-training strategy with dual distinct classifiers. …”
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Resilience-oriented power system restoration considering complex load behaviors by Xie, Dunjian

“…The frequency constraints can be linearized based on trajectory sensitivity analysis and solved iteratively. A model-reduction method is utilized to improve the speed of the time-domain simulation…”
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Crack-inclusion interaction problems with dugdale plastic zone correction by Hoh, Hsin Jen

“…Initial values of the plastic zone sizes ρ_L and ρ_R (at the left and right crack tips, respectively) are assumed, following which K_I and K_ρ are calculated. ρ_L and ρ_R are adjusted by iteration until K_I and K_ρ are balanced at both crack tips. …”
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Robust discrete geodesic and its applications in digital geometry processing by Dao Thi Phuong Quynh

“…In contrast to the existing approaches which compute the distance from source to destinations in a single Dijkstra-like sweep, our method proceeds in an iterative and global manner. Thanks to its global nature, the resulting distance is tolerant to some defects (e.g. holes, gaps, shortcuts), insensitive to mesh tessellation/resolution, and robust to noise, which provides a meaningful approximation of geodesics on broken meshes. 3) The third contribution is about potential applications of our above algorithms in digital geometry processing, especially for the motion data captured by 3D structure light camera that inevitably has several kinds of defects such as noise, holes, gaps, etc. …”
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Intrinsic computation of voronoi diagrams on surfaces and its application by Wang, Xiaoning

“…The first algorithm adopts the Lloyd framework, which iteratively moves the generator of each geodesic Voronoi diagram to its mass center. …”
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Example-based dynamic deformation by Zhang, Wenjing

“…The algorithm is devised to combine radial basis function (RBF)-based warping and adaptive mesh refinement. We iteratively transform the mesh using RBF-based warping with a safe stepsize to ensure that no element is inverted. …”
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Interference management in wireless networks with limited channel information at the transmitters by Anand, Kushal

“…Suitable initialization method is proposed for the iterative precoder designs which not only achieves better BER performance than the IA algorithm but also attains the maximum network DoF while consuming much lesser relay power. …”
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Machine learning methods for predicting cancer drug effects from signaling and cell fate data by Mishra Shital Kumar

“…Our method employs Genetic Algorithm to search for the most likely network topologies by iteratively generating simulated protein phosphorylation data using ODEs and the rewired network and then fitting the simulated data with real data of cancer signaling and cell fate. …”
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Performance studies and energy management of aggregated BESSs for frequency regulation by Zhang, Tian

“…The recommended BESS penetration rate in the power system is analyzed using an iterative approach according to the NERC performance indices. …”
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Enhancing convexification techniques for solving nonconvex quadratic programming problems by Qi, Xiaofei

“…Most global optimization approaches for nonconvex QCQPs are based on constructing a convex or linear relaxation of the problem, and embedding it within an exhaustive search mechanism, where a lower bound is calculated as the value of the objective function of this relaxation (for a minimization problem) at each iteration of the search tree. The two principle elements affecting the overall effectiveness of such exhaustive search methods are the tightness of the underlying relaxation and the efficiency of calculating the lower bound. …”
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Tracking of real and complex sinusoids using piloted adaptive notch filter by Chobey, Dinesh Kumar

“…This filter is popularly implemented using the least mean square (LMS) algorithm in which the notch frequency is updated iteratively using either a fixed or an adaptive step-size to eventually converge to the frequency of the input signal. …”
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