Optimization of Distribution Network with Distributed Generation Based on an Improved Genetic Algorithm

Xiaoyu Sun,Jinsong Liu,Xin Sun,Jingwei Hu 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.1

The system of distribution network with distributed generation is analyzed, and dynamic optimization based on an improved genetic algorithm is presented in this paper. First, the mathematical model of distribution network can be established by using constraints and objective function, which contains the network loss, the DGs investment and reliability of power supply. Then, according the construction of distribution network, this paper presents a design of improved genetic algorithm. Finally, IEEE 14 nodes system is adopted to realize the design of the algorithm.

Investigating the Influences of Wet Fiber Laser Cutting Upon the Surface Integrity of Nitinol Cardiovascular Stents

Xiaoyu Sun,Xiuting Wei,Zhiyong Li,Deda Lou,Yongqi Wang,Hanqing Liu 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.22 No.7

High precision laser cutting with minimal post-treatment is needed in the manufacturing of nitinol cardiovascular stents. This paper carries out a series of cutting experiments of nitinol cardiovascular stents by wet fiber laser cutting to understand the basic process characteristics and to investigate the influences of process parameters (laser power, cutting speed, pulse width, frequency) upon the surface integrity (surface topography, dross, surface roughness, HAZ, recast layer, subsurface nanohardness, surface chemical composition). The univariate analysis was used to analyze and explain the influence that rules of process parameters had upon the surface integrity. The experiment results showed that the effects of process parameters on surface integrity were regular, with the optimal single-factor parameters obtained. Moreover, the removal mechanism of the nitinol material was also revealed. This study is of great significance for the medical industry in improve the cutting quality of cardiovascular stents.

Optimization of impedance boundarycontrolled casing treatment on subsonic compressors

Dakun Sun,Yuqing Wang,Jia Li,Zihan Shen,ChunWang Geng,Xu Dong,Xiaoyu Wang,Xiaofeng Sun 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.5

Foam-metal casing treatment (FMCT) has the potential to enhance the stall margin while attenuating the broadband noise of compressors. An optimized structure of FMCT backed with an air gap was developed in this study with the basis of a prediction model. The eigenvalue theory with a linear perturbation assumption was employed to judge the stability of the compression system, where the casing treatment was considered as an impedance boundary condition. The effect of this kind of casing treatment on the compression system is introduced through the equivalent surface source method. The transfer element method was applied to match the relations between perturbation parameters on the surface of each section. Prediction results showed that the double-layer configuration has better stall margin improving ability, with experimental results on the steady characteristics confirming a 39.5 % stall margin improvement. The mechanism of exerting damping on the system and thus suppressing stall precursors was proved.

D-stability of generalized homogeneous cooperative time-varying systems

Xiaoyu Li,Yuangong Sun 제어로봇시스템학회 2023 제어로봇시스템학회 국제학술대회 논문집 Vol.2023 No.10

Prediction of Cellulose Crystallinity in Liquid Phase Using CBM-GFP Probe

Xiaoyu Guo,Fan Yang,Huixue Liu,Yingmin Hou,Yafang Wang,Jie Sun,Xiaoyi Chen,Yanan Liu,Xianzhen Li 한국고분자학회 2019 Macromolecular Research Vol.27 No.4

Carbohydrate-binding modules (CBMs) have been developed to investigate the presence of crystalline and amorphous regions of cellulose. However, systematic and quantitative assessment of cellulose crystallinity using such non-hydrolytic fusion proteins in liquid phase has not been reported. In this work, cellulose directed CBM probes containing a green fluorescent protein (GFP) were constructed and named CG17, CG28, and CG2a. The probe binding condition was determined as incubating 30 μg/mL probes in 10 mM phosphate buffer at 30oC for 60 min. Under the optimized condition, the linear correlations between CBM probe binding capability and X-ray diffraction (XRD) crystallinity were well established. Using linear regression equations, the crystallinity of several cellulosic materials was well calculated. Amorphous component and cellulosic surface area probably had a less effect on binding capability of CG2a than that of CG17 and CG28. Therefore, crystalline-region specific probe CG2a should be an efficient tool for interpreting the crystallinity of cellulosic materials.

Dynamic Event-triggered Control for Heterogeneous Leader-following Consensus of Multi-agent Systems Based on Input-to-state Stability

Xiaoyu Li,Dazhong Ma,Xuguang Hu,Qiuye Sun 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.2

By utilizing dynamic event-triggered control strategy, this paper deals with consensus problem of a class of heterogeneous leader-following multi-agent systems(MASs) consisting of a high-dimensional leader system but low-dimensional following systems. A kind of observer-based consensus controllers is put forward with a dynamic event-triggered function consisting of the measurement error and a threshold based on the neighbors’ discrete states to reduce unnecessary utilization of limited communication and computation resources. Meanwhile, a dynamic variable is used to generate the event-triggered law using Input-to-State Stability(ISS) criteria. Based on this criteria, the proposed control strategy ensures stability of MASs, which fully reflects of the relationship between the external control inputs of the following systems and the internal states of the leader system and fully considered the influence of disturbances or noises on the MASs. Furthermore, the Zeno behavior for triggering time sequence is excluded. At last, a numerical simulation is provided to demonstrate the feasibility and effectiveness of the theoretical results.

An Adaptive JPEG Steganographic Method Based on Weight Distribution for Embedding Costs

( Yi Sun ),( Guangming Tang ),( Yuan Bian ),( Xiaoyu Xu ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.5

Steganographic schemes which are based on minimizing an additive distortion function defined the overall impacts after embedding as the sum of embedding costs for individual image element. However, mutual impacts during embedding are often ignored. In this paper, an adaptive JPEG steganographic method based on weight distribution for embedding costs is proposed. The method takes mutual impacts during embedding in consideration. Firstly, an analysis is made about the factors that affect embedding fluctuations among JPEG coefficients. Then the Distortion Update Strategy (DUS) of updating the distortion costs is proposed, enabling to dynamically update the embedding costs group by group. At last,a kind of adaptive JPEG steganographic algorithm is designed combining with the update strategy and well-known additive distortion function . The experimental result illustrates that the proposed algorithm gains a superior performance in the fight against the current state-of-the-art steganalyzers with high-dimensional features.

Implications of Sarcopenia and Glucometabolism Parameters of Muscle Derived From Baseline and End-of-Treatment 18F-FDG PET/CT in Diffuse Large B-Cell Lymphoma

Tan Xiaoyue,Sun Xiaolin,Chen Yang,Wang Fanghu,Shang Yuxiang,Zhang Qing,Yuan Hui,Jiang Lei 대한영상의학회 2024 Korean Journal of Radiology Vol.25 No.3

Objective: We previously found that the incidence of sarcopenia increased with declining glucose metabolism of muscle in patients with treatment-naïve diffuse large B-cell lymphoma (DLBCL). This study aimed to investigate the relationship between sarcopenia and muscle glucometabolism using 18F-FDG PET/CT at baseline and end-of-treatment, analyze the changes in these parameters through treatment, and assess their prognostic values. Materials and Methods: The records of 103 patients with DLBCL (median 54 years [range, 21–76]; male:female, 50:53) were retrospectively reviewed. Skeletal muscle area at the third lumbar vertebral (L3) level was measured, and skeletal muscle index (SMI) was calculated to determine sarcopenia, defined as SMI < 44.77 cm2/m2 and < 32.50 cm2/m2 for male and female, respectively. Glucometabolic parameters of the psoas major muscle, including maximum standardized uptake value (SUVmax) and mean standardized uptake value (SUVmean), were measured at L3 as well. Their changes across treatment were also calculated as ΔSMI, ΔSUVmax, and ΔSUVmean; Δbody mass index was also calculated. Associations between SMI and the metabolic parameters were analyzed, and their associations with progression-free survival (PFS) and overall survival (OS) were identified. Results: The incidence of sarcopenia was 29.1% and 36.9% before and after treatment, respectively. SMI (P = 0.004) was lower, and sarcopenia was more frequent (P = 0.011) at end-of-treatment than at baseline. The SUVmax and SUVmean of muscle were lower (P < 0.001) in sarcopenia than in non-sarcopenia at both baseline and end-of-treatment. ΔSMI was positively correlated with ΔSUVmax of muscle (P = 0.022). Multivariable Cox regression analysis showed that sarcopenia at end-of-treatment was independently negatively associated with PFS (adjusted hazard ratio [95% confidence interval], 2.469 [1.022–5.965]), while sarcopenia at baseline was independently negatively associated with OS (5.051 [1.453–17.562]). Conclusion: Sarcopenic patients had lower muscle glucometabolism, and the muscular and metabolic changes across treatment were positively correlated. Sarcopenia at baseline and end-of-treatment was negatively associated with the prognosis of DLBCL.

SPWM Implementation Using DSP Model Programming Based on Simulink

ChangyongY in,Xiaoyu Sun,Shuo Huang,Hongxia Yu 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.8

SPWM is an essential modulation algorithm in power electronic devices, but it is not easy for unskilled programmer or junior engineers to build the code effectively. Model programming with embedded target supporting package in Matlab/Simulink is a new method to replace the traditional code writing without complicacy. Comparing to the manual method, it is more effective with lower cost, and the most importantly, it is more reliable. This paper offers a popular asymmetric sampling SPWM prototype with algorithm deduction, codes and models from Matlab RTW-EC. Finally, a practical result which can prove the method to be functional is also provided. This may accelerate the power electronics developing project with reliability in projects.

Minutiae-based Triangular Acreage Fingerprint Match Method

Gang Wang,Dan Zhao,Xiaoyu Sun 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.6

Fingerprint recognition systems are the top topics of biometric research and more researchers’ effort is provided to improve high accuracy and speed. Matching methods based on the minutiae points are commonly used and are effective in practice. Algorithms which based on minutia triplets among them are attractive matchers. However, recognizing fingerprints in poor quality images, direction changed, size different fingerprints and so forth is still a very complex job. To overcome these drawbacks, a fingerprint match method used minutiae-based triangular acreage is described here to improve matching accuracy.