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energy minimization for Heterogenous Traffic Coexistence with Puncturing in Mobile Edge Computing-Based Industrial Internet of Things

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China Communications 2024年第10期21卷 167-180页

作者： Wang Xue Wang Ying Fei Zixuan Zhao Junwei School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China State Key Laboratory of Networking and Switching Technology Beijing 100876China

Puncturing has been recognized as a promising technology to cope with the coexistence problem of enhanced mobile broadband(eMBB) and ultra-reliable low latency communications(URLLC)traffic. However, the steady performance of eMBB traffic while meeting the requirements of URLLC traffic with puncturing is a major challenge in some realistic scenarios. In this paper, we pay attention to the timely and energy-efficient processing for eMBB traffic in the industrial Internet of Things(IIoT), where mobile edge computing(MEC) is employed for data processing. Specifically, the performance of eMBB traffic and URLLC traffic in a MEC-based IIoT system is ensured by setting the threshold of tolerable delay and outage probability, respectively. Furthermore,considering the limited energy supply, an energy minimization problem of eMBB device is formulated under the above constraints, by jointly optimizing the resource blocks(RBs) punctured by URLLC traffic, data offloading and transmit power of eMBB device. With Markov's inequality, the problem is reformulated by transforming the probabilistic outage constraint into a deterministic constraint. Meanwhile, an iterative energy minimization algorithm(IEMA) is *** results demonstrate that our algorithm has a significant reduction in the energy consumption for eMBB device and achieves a better overall effect compared to several benchmarks.

关键词： energy minimization enhanced mobile broadband(eMBB)and ultra-reliable low latency communications(URLLC)coexistence industrial Internet of Things(IIoT) mobile edge computing(MEC) puncturing

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Statistical physics of hard combinatorial optimization:Vertex cover problem

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Chinese Physics B 2014年第7期23卷 114-120页

作者：赵金华周海军 State Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences

Typical-case computation complexity is a research topic at the boundary of computer science, applied mathematics, and statistical physics. In the last twenty years, the replica-symmetry-breaking mean field theory of spin glasses and the associated message-passing algorithms have greatly deepened our understanding of typical-case computation complexity. In this paper, we use the vertex cover problem, a basic nondeterministic-polynomi＇al （NP）-complete combinatorial opti- mization problem of wide application, as an example to introduce the statistical physical methods and algorithms. We do not go into the technical details but emphasize mainly the intuitive physical meanings of the message-passing equations. A nonfamiliar reader shall be able to understand to a large extent the physics behind the mean field approaches and to adjust the mean field methods in solving other optimization problems.

关键词： spin glass energy minimization replica symmetry breaking belief propagation

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Rigidity Constraints for Large Mesh Deformation

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Journal of Computer Science & Technology 2009年第1期24卷 47-55页

作者：赵勇刘新国彭群生鲍虎军 State Key Lab of CAD & CG Zhejiang University

It is a challenging problem of surface-based deformation to avoid apparent volumetric distortions around largely deformed areas. In this paper, we propose a new rigidity constraint for gradient domain mesh deformation to address this problem. Intuitively the proposed constraint can be regarded as several small cubes defined by the mesh vertices through mean value coordinates. The user interactively specifies the cubes in the regions which are prone to volumetric distortions, and the rigidity constraints could make the mesh behave like a solid object during deformation. The experimental results demonstrate that our constraint is intuitive, easy to use and very effective.

关键词： mesh deformation rigidity constraint mean value coordinates explicit rotation estimation Laplacian energy minimization

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energy-Aware Scheduling with Uncertain Execution Time for Real-Time Systems

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Chinese Journal of Electronics 2017年第1期26卷 42-49页

作者： ZHANG Longxin TONG Zhao ZHU Ningbo XIAO Zheng LI Kenli College of Computer and Communication Hunan University of Technology College of Computer Science and Electronic Engineering Hunan University College of Mathematic and Computer Science Hunan Normal University

energy-saving is extraordinary important for real-time systems. Dynamic voltage scaling(DVS) is an important technique to reduce the energy consumption of processors that support voltage scaling. It has been exploited extensively in task scheduling. However, many approaches take simple treatments and some of them even neglect the large voltage transition overheads. Although some strategies consider the penalty, frequency switching produces extra large time overhead and deadline misses occur frequently. In our paper, we propose an energy efficient soft real-time dynamic program scheme by using quantitative switching overhead and communication penalty for multitask scheduling with uncertain execution time. The experiments show that our approaches significantly outperform existing solutions both on simple-core and multi-core systems in terms of energy-saving.

关键词： Dynamic voltage scaling(DVS) energy minimization Real-time Task scheduling

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Relief generation from 3D scenes guided by geometric texture richness

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Computational Visual Media 2018年第3期4卷 209-221页

作者： Yongwei Miao Yuliang Sun Xudong Fang Jiazhou Chen Xudong Zhang Renato Pajarola College of Information Science and Technology Zhejiang Sci-Tech University College of Computer Science and Technology Zhejiang University of Technology Department of Informatics University of Zrich

Typically, relief generation from an input 3D scene is limited to either bas-relief or high-relief modeling. This paper presents a novel unified scheme for synthesizing reliefs guided by the geometric texture richness of 3D scenes; it can generate both bas- and high-reliefs. The type of relief and compression coefficient can be specified according to the user＇s artistic needs. We use an energy minimization function to obtain the surface reliefs, which contains a geometry preservation term and an edge constraint term. An edge relief measure determined by geometric texture richness and edge z-depth is utilized to achieve a balance between these two terms. During relief generation, the geometry preserwtion term keeps local surface detail in the original scenes, while the edge constraint term maintains regions of the original models with rich geometric texture. Elsewhere, in high- reliefs, the edge constraint term also preserves depth discontinuities in the higher parts of the original scenes. The energy function can be discretized to obtain a sparse linear system. The reliefs are obtained by solving it by an iterative process. Finally, we apply non-linear compression to the relief to meet the user＇s artistic needs. Experimental results show the method＇s effectiveness for generating both bas- and high-reliefs for complex 3D scenes in a unified manner.

关键词： geometric texture richness reliefgeneration energy minimization bas-relief high-relief

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Accelerated Parallel Texture Optimization

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Journal of Computer Science & Technology 2007年第5期22卷 761-769页

作者：黄浩达童欣王文成 State Key Lab of Computer Science Institute of Software Chinese Academy of SciencesBeijing 100080China Graduate University of Chinese Academy of SciencesBeijing 100080China Microsoft Research Asia Beijing 100080 China State Key Lab of Computer Science Institute of Software Chinese Academy of SciencesBeijing 100080China

Texture optimization is a texture synthesis method that can efficiently reproduce various features of exemplar textures. However, its slow synthesis speed limits its usage in many interactive or real time applications. In this paper, we propose a parallel texture optimization algorithm to run on GPUs. In our algorithm, k-coherence search and principle component analysis （PCA） are used for hardware acceleration, and two acceleration techniques are further developed to speed up our GPU-based texture optimization. With a reasonable precomputation cost, the online synthesis speed of our algorithm is 4000＋ times faster than that of the original texture optimization algorithm and thus our algorithm is capable of interactive applications. The advantages of the new scheme are demonstrated by applying it to interactive editing of flow-guided synthesis.

关键词： texture synthesis energy minimization parallel GPU flow visualization

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FITTING C1 SURFACES TO SCATTERED DATA WITH S 1 2 （△ m,n （2））

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Journal of Computational Mathematics 2011年第4期29卷 396-414页

作者： Kai Qu Renhong Wang Chungang Zhu School of Mathematical Sciences Dalian University of Technology Dalian 116024 China Department of Mathematics Dalian Maritime University Dalian 116026 China

This paper presents a fast algorithm （BS2 Algorithm） for fitting C 1 surfaces to scat- tered data points. By using energy minimization, the bivariate spline space S 2 1（△ m,n （2）） is introduced to construct a Cl-continuous piecewise quadratic surface through a set of irregularly 3D points. Moreover, a multilevel method is also presented. Some experimental results show that the accuracy is satisfactory. Furthermore, the BS2 Algorithm is more suitable for fitting surfaces if the given data points have some measurement errors.

关键词： Bivariate spline Scattered data Surface fitting energy minimization Type-2triangulation C1-continuous.

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Feature Point Method of Chinese Character Recognition and Its Application

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Journal of Computer Science & Technology 1990年第4期5卷 305-311页

作者：张炘中闫昌德刘秀英 Chinese Information Processing & Research Center Beijing Information Technology Institute

A new method for recognizing Chinese characters is proposed. It is based on the so-called feature points of Chinese characters. The feature points we use include those on the stroke of a character, i.e., end points, turning points, fork points and cross points, and the key points on the background of character. This method differs from the previous ones for it combines the feature points on stroke with those on back- ground and it uses feature points to recognize Chinese characters directly. A Chinese character recognition system based on top-down dynamical matching of feature point is developed. The system can recognize not only 6763 printed sample Song font Chinese characters of size 5.6×5.6mm^2 with high recognition rate, but also the general printed books, magazines and documents with a satisfactory recognition rate and speed.

关键词： parallel GPU flow visualization gesture recognition dominant motion model M-estimator affinetransform model texture synthesis energy minimization

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Weight measurement using image-based pose analysis

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Progress in Natural Science:Materials International 2008年第12期18卷 1507-1512页

作者： Robert J.Sclabassi Laboratory for Computational Neuroseience Departments of NeurosurgeryElectrical & Computer Engineeringand BioengineeringUniversity of PittsburghPittsburgh 15213USA

Image-based gait analysis as a means of biometric identification has attracted much research *** of the existing methods focus on human identification,posture analysis and movement *** have been few investigations on measuring the carried load based on the carrier’s gait characteristics by automatic image ***,this measurement is very useful in a number of applications,such as the study of the carried load on the postural development of children and *** this paper,we inves- tigate how to automatically estimate the carried weight from a sequence of *** present a method to extract human gait silhouette based on an observation that humans tend to minimize the energy during *** compute several angles of body leaning and deter- mine the relationship of the carried weight,the leaning angles and the centroid location according to a human kinetic *** weight determination method has been verified successfully by experiments.

关键词： Image-based pose analysis energy minimization Pattern recognition Load carrying measurement

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Design of energy Efficient WSN Using a Noble SMOWA Algorithm

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Computers, Materials & Continua 2022年第8期72卷 3585-3600页

作者： Avishek Banerjee Deepak Garg Victor Das Laxminarayan Sahoo Ira Nath Vijayakumar Varadarajan Ketan Kotecha Department of Computer Science and Engineering Bennett UniversityGreater Noida201310India Department of Information Technology Asansol Engineering CollegeAsansol713305India Department of Computer and Information Science Raiganj UniversityRaiganj733134India Department of Computer Science and Engineering JIS College of EngineeringKalyani741235India School of Computer Science and Engineering University of New South WalesSydneyAustralia Symbiosis Centre for Applied Artificial Intelligence Symbiosis International(Deemed University)PuneIndia

In this paper,the establishment of efficientWireless Sensor Network(WSN)networks has been projected to minimize the consumption of energy using a new Self-adaptive Multi-Objective Weighted Approach(SMOWA)algorithm for solving a multi-objective *** Different WSN nodes deployment policies have been proposed and applied in this paper to design an efficientWireless Sensor Network to minimize energy *** that,the cluster head for each cluster has been selected with the help of the duty *** configuring the WSN networks,the SMOWA algorithms have been developed to obtain the minimum energy consumption for the *** minimization,as well as the amount of day-saving,has been calculated for the differentWSNswhich has been configured through different deployment *** major finding of the research paper is to improve the durability of Wireless Sensor Network(i)applying different deployment strategies:(Random,S pattern and nautilus shell pattern),and(ii)using a new Meta-heuristic algorithm(SMOWA Algorithm).In this research,the lifetime of WSN has been increased to a significant *** choose the best result set from all the obtained results set some constraints such as“equivalent distribution”,“number of repetitions”,“maximum amount energy storage by a node”has been set to an allowable range.

关键词： Wireless Sensor Network(WSN) Self-adaptive Multi-Objective Weighted Approach(SMOWA) deployment strategies Meta-heuristicMethods energy minimization duty cycle

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