Optimal Control based Image Sequence Interpolation

This thesis includes my three-year doctoral research in the field of image sequence interpolation. The introduced interpolation methods are mainly based on fnding an appropriate optical flow field, with which the objects in an initial image can be transported and warped to a certain time. To identify the optical flow field the interpolation problem is considered in the framework of optimal control governed by the transport equation. To improve the interpolation quality, the models are introduced so that the edges of the optical flow are preserved, the forward and backward interpolation are locally selected. Basically the smooth version of total variation and the active contours for segmentation are used. In the theoretical part, the solution theory of transport equation is investigated under different settings on the regularity of the optical flow, and applied in the proof of the existence of a minimizer to the associated minimization problems

System Selection and Performance Evaluation for Manufacturing Company’s ERP Adoption

Enterprise Resource Planning (ERP) system is an important investment for manufacturing companies that can affect their competitive advantages and operational performance. However, the implementation of ERP can be a complicated process, where many strategic decisions have to be made. We focus on two critical decisions in ERP implementation: (1) ERP system selection, and (2) ERP operational performance evaluation. For the former, we use Analytic Hierarchy Process (AHP) to design the key performance indicator (KPI) system. For the later, we combine AHP and Fuzzy Integrated Evaluation (FIE) methods to effectively evaluate the implementation of ERP. We use a typical industrial example and data analysis to illustrate our framework

LWS: A Framework for Log-based Workload Simulation in Session-based SUT

Microservice-based applications and cloud-native systems have been widely applied in large IT enterprises. The operation and management of microservice-based applications and cloud-native systems have become the focus of research. Essential and real workloads are the premise and basis of prominent research topics including performance testing, dynamic resource provisioning and scheduling, and AIOps. Due to the privacy restriction, the complexity and variety of workloads, and the requirements for reasonable intervention, it is difficult to copy or generate real workloads directly. In this paper, we formulate the task of workload simulation and propose a framework for Log-based Workload Simulation (LWS) in session-based application systems. First, LWS collects session logs and transforms them into grouped and well-organized sessions. Then LWS extracts the user behavior abstraction based on a relational model and the intervenable workload intensity by three methods from different perspectives. LWS combines the user behavior abstraction and the workload intensity for simulated workload generation and designs a domain-specific language for better execution. The experimental evaluation is performed on an open-source cloud-native application and a public real-world e-commerce workload. The experimental results show that the simulated workload generated by LWS is effective and intervenable

Continued spread of HIV among injecting drug users in southern Sichuan Province, China

OBJECTIVE: To estimate HIV prevalence among injecting drug users (IDUs) in a drug trafficking city in southwest Sichuan Province, China. METHODS: A total of 314 IDUs was invited to participate in the cross-sectional survey in 2004 through community outreach recruitment and peer referrals. Blood sample was taken for HIV antibody testing and a structured questionnaire was administered to collect information on socio-demographics, drug using and sexual behaviors. RESULTS: HIV prevalence among IDUs was 17.8% (56/314), about one half higher than that in previous survey in 2002 (11.3%, 43/379). Yi and other minority ethnicity (Odds ratio [OR], 3.1; 95% confidence interval [CI], 1.7–5.8; P < 0.001), and total times of sharing injecting equipments 1–9 times versus none, OR, 2.7; 95% CI 1.2–6.2; P = 0.02; and ≥10 times versus none, OR, 7.5; 95% CI, 3.2–17.7; P < 0.001) were independent risk factors for HIV infection. CONCLUSION: IDUs with high prevalence rates of HIV and equipment sharing behavior in the drug trafficking city may serve a source for further spread of HIV to other areas in China. The increasing trend of HIV epidemic among IDUs underscores the urgency of scaling up interventions

QTL mapping and genomic selection of stem and branch diameter in soybean (Glycine max L.)

IntroductionSoybean stem diameter (SD) and branch diameter (BD) are closely related traits, and genetic clarification of SD and BD is crucial for soybean breeding.MethodsSD and BD were genetically analyzed by a population of 363 RIL derived from the cross between Zhongdou41 (ZD41) and ZYD02878 using restricted two-stage multi-locus genome-wide association, inclusive composite interval mapping, and three-variance component multi-locus random SNP effect mixed linear modeling. Then candidate genes of major QTLs were selected and genetic selection model of SD and BD were constructed respectively.Results and discussionThe results showed that SD and BD were significantly correlated (r = 0.74, P &lt; 0.001). A total of 93 and 84 unique quantitative trait loci (QTL) were detected for SD and BD, respectively by three different methods. There were two and ten major QTLs for SD and BD, respectively, with phenotypic variance explained (PVE) by more than 10%. Within these loci, seven genes involved in the regulation of phytohormones (IAA and GA) and cell proliferation and showing extensive expression of shoot apical meristematic genes were selected as candidate genes. Genomic selection (GS) analysis showed that the trait-associated markers identified in this study reached 0.47-0.73 in terms of prediction accuracy, which was enhanced by 6.56-23.69% compared with genome-wide markers. These results clarify the genetic basis of SD and BD, which laid solid foundation in regulation gene cloning, and GS models constructed could be potentially applied in future breeding programs

Auf Optimale Steuerung basierte Interpolation einer Bildsequenz

This thesis includes my three-year doctoral research in the field of image sequence interpolation. The introduced interpolation methods are mainly based on fnding an appropriate optical flow field, with which the objects in an initial image can be transported and warped to a certain time. To identify the optical flow field the interpolation problem is considered in the framework of optimal control governed by the transport equation. To improve the interpolation quality, the models are introduced so that the edges of the optical flow are preserved, the forward and backward interpolation are locally selected. Basically the smooth version of total variation and the active contours for segmentation are used. In the theoretical part, the solution theory of transport equation is investigated under different settings on the regularity of the optical flow, and applied in the proof of the existence of a minimizer to the associated minimization problems