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AN IMPROVED ALGORITHM OF GMM VOICE CONVERSION SYSTEM BASED ON CHANGING THE TIME-SCALE

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Journal of Electronics(China) 2011年第4期28卷 518-523页

作者： zhou ying zhang Linghua College of Telecommunications ＆ Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China

This paper improves and presents an advanced method of the voice conversion system based on Gaussian Mixture Models(GMM) models by changing the time-scale of *** Speech Transformation and Representation using Adaptive Interpolation of weiGHTed spectrum(STRAIGHT) model is adopted to extract the spectrum features,and the GMM models are trained to generate the conversion *** spectrum features of a source speech will be converted by the conversion *** time-scale of speech is changed by extracting the converted features and adding to the *** conversion voice was evaluated by subjective and objective *** results confirm that the transformed speech not only approximates the characteristics of the target speaker,but also more natural and more intelligible.

关键词： Gaussian Mixture Models(GMM) Speech Transformation and Representation using Adaptive Interpolation of weiGHTed spectrum(STRAIGHT) Time-scale Voice conversion

A Parallel Multicomputer Simulation System

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Journal of Systems Engineering and Electronics 1995年第3期6卷 30-40页

作者： Chen Delai Wang Chen zhou ying & zhang Defu(Department of Computer Science and TechnologyNaming University, Naming 210093, P.R. China) Department of Computer Science and Technology Nanjing University Nanjing 210093 P.R. China

In this paper, a homogenous parallel simulation system is presented in detail for continuous--system simulation. The system is collstructed by a host computer and I I transputers connected into a topologyof 'Super--Node' which is very suitable for simulation of stiff systems. An automatic software interface runin the host is developed to partition simulation model, either equations or block diagrams, into several equitable segments and then pack them into parallel simulation program to be executed in the parallel *** interface frees simulation users from parallel programming to focus on their simulation experiments.

关键词： Multicomputer system Continuous-system simulation Parallel simulation

Keyhole approach surgery for petroclival meningioma

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Chinese Medical Journal 2006年第16期119卷 1339-1342页

作者： ZHU Wei MAO ying zhou Liang-fu zhang Rong CHEN Liang Department of Neurosurgery Shanghai Neurosurgical Center Huashan Hospital of Fudan University Shanghai 200040 China

Background In China, the feasibility of keyhole approach in surgical treatment of petroclival meningioma has not been well evaluated. This report summarized our experience in 25 patients with petroclival meningioma who had been treated with keyhole approach surgery. Methods From July 2000 to July 2005, 25 patients with petroclival meningioma were subjected to resection via subtemporal, retrosigmoid or combined keyhole approaches. The extent of tumor resection was evaluated by MRI 3 months after surgery, and postoperative complications were investigated. Results The maximum diameter of tumors ranged from 2 to 7 cm （mean, 4.5 cm）. Gross total resection （GTR） was achieved in 14 patients, giving a GTR rate of 56%. Subtotal resection （STR） was carried out in 8 patients and partial resection in 3. Thirteen patients kept normal neurological status, whereas others suffered from cranial nerve deficits （Ⅶ, Ⅶ, Ⅲ and lower CN）. One patient died in the postoperative period. Conclusions Keyhole approach surgery, especially the combined keyhole approach is suitable for the treatment of petroclival meningioma. It provides easy and quick access to the supra- and infratentorial juxta-clival region without drilling of the petrous bone. Complications related to the approach can be minimized.

关键词： keyhole surgery petroclival meningioma subtemporal approach retrosigmoid approach

An Efficient Boron Source Activation Strategy for the Low‑Temperature Synthesis of Boron Nitride Nanotubes

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Nano-Micro Letters 2025年第1期17卷 548-558页

作者： ying Wang Kai zhang Liping Ding Liyun Wu Songfeng E Qian He Nanyang Wang Hui Zuo Zhengyang zhou Feng Ding Yue Hu Jin zhang Yagang Yao National Laboratory of Solid State Microstructures College of Engineering and Applied SciencesJiangsu Key Laboratory of Artificial Functional Materialsand Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093People’s Republic of China School of Electronic Information and Artificial Intelligence Shaanxi University of Science&TechnologyXian 710000People’s Republic of China College of Bioresources Chemical and Materials Engineering Shaanxi University of Science&TechnologyXian 710000People’s Republic of China Key Laboratory of Carbon Materials of Zhejiang Province College of Chemistry and Materials EngineeringWenzhou UniversityWenzhou 325000People’s Republic of China Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen 518000People’s Republic of China College of Chemical and Molecular Engineering Peking UniversityBeijing 100871People’s Republic of China

Lowering the synthesis temperature of boron nitride nanotubes(BNNTs)is crucial for their *** primary reason for adopting a high temperature is to enable the effective activation of highmelting-point solid *** this study,we developed a novel approach for efficiently activating boron by introducing alkali metal compounds into the conventional MgO–B *** approach can be adopted to form various low-melting-point AM–Mg–B–O growth *** growth systems have improved catalytic capability and reactivity even under low-temperature conditions,facilitating the synthesis of BNNTs at temperatures as low as 850℃.In addition,molecular dynamics simulations based on density functional theory theoretically demonstrate that the systems maintain a liquid state at low temperatures and interact with N atoms to form BN *** findings offer novel insights into the design of boron activation and are expected to facilitate research on the low-temperature synthesis of BNNTs.

关键词： Boron nitride nanotubes Low-temperature Boron activation Density functional theory

Electrode/Electrolyte Optimization‑Induced Double‑Layered Architecture for High‑Performance Aqueous Zinc‑(Dual)Halogen Batteries

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Nano-Micro Letters 2025年第3期17卷 121-137页

作者： Chengwang zhou Zhezheng Ding Shengzhe ying Hao Jiang Yan Wang Timing Fang You zhang Bing Sun Xiao Tang Xiaomin Liu School of Textiles and Clothing School of Chemistry and Chemical EngineeringQingdao UniversityQingdao 266071ShandongPeople’s Republic of China Centre for Clean Energy Technology School of Mathematical and Physical SciencesFaculty of ScienceUniversity of Technology SydneyUltimoNSW 2007Australia School of Chemistry and Chemical Engineering Henan Normal UniversityXinxiang 453007HenanPeople’s Republic of China

Aqueous zinc-halogen batteries are promising candidates for large-scale energy storage due to their abundant resources,intrinsic safety,and high theoretical ***,the uncontrollable zinc dendrite growth and spontaneous shuttle effect of active species have prohibited their practical ***,a double-layered protective film based on zinc-ethylenediamine tetramethylene phosphonic acid(ZEA)artificial film and ZnF2-rich solid electrolyte interphase(SEI)layer has been successfully fabricated on the zinc metal anode via electrode/electrolyte synergistic *** ZEA-based artificial film shows strong affinity for the ZnF2-rich SEI layer,therefore effectively suppressing the SEI breakage and facilitating the construction of double-layered protective film on the zinc metal *** double-layered architecture not only modulates Zn2+flux and suppresses the zinc dendrite growth,but also blocks the direct contact between the metal anode and electrolyte,thus mitigating the corrosion from the active *** employing optimized metal anodes and electrolytes,the as-developed zinc-(dual)halogen batteries present high areal capacity and satisfactory cycling *** work provides a new avenue for developing aqueous zinc-(dual)halogen batteries.

关键词： Zn metal anodes Double-layered protective film Electrode/electrolyte optimization Aqueous zinc-(dual)halogen batteries

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设置黏滞阻尼墙的钢框架结构振动台试验研究

建筑结构学报 2017年第3期38卷 14-25页

作者：周颖张丹卢文胜同济大学土木工程防灾国家重点实验室上海200092

以3层设置黏滞阻尼墙的钢框架结构为研究对象,对其进行3条地震波在不同水准下的振动台试验。通过对设置与不设置黏滞阻尼墙的两种结构动力特性和动力响应对比,分析了黏滞阻尼墙的减震效果和耗能特征及其变化规律。研究结果表明,黏滞阻... 详细信息

以3层设置黏滞阻尼墙的钢框架结构为研究对象,对其进行3条地震波在不同水准下的振动台试验。通过对设置与不设置黏滞阻尼墙的两种结构动力特性和动力响应对比,分析了黏滞阻尼墙的减震效果和耗能特征及其变化规律。研究结果表明,黏滞阻尼墙是一种同时提供附加刚度和附加阻尼的被动消能减震装置,其在提供附加阻尼和附加刚度的同时可以对结构位移起到非常显著的控制作用,并且随着输入地震波峰值加速度的增大,该附加刚度逐渐减小,而附加阻尼则逐渐增大。此外,有限元分析结果与振动台试验结果的吻合度随响应对象和激励工况的不同而变化,说明了传统Maxwell模型用于模拟黏滞阻尼墙在动态力学特性方面的局限性。

关键词：钢框架黏滞阻尼墙振动台试验减震效果耗能特征附加刚度附加阻尼

Sensitivity of Interstitial combined Chemotherapy against Glioma

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医学信息（手术学分册） 2006年第4期19卷 6-8页

作者： WANG Ming-sheng LIN Jian-ying zhou Guo-sheng zhang Xin-zhong The First Affiliated Hospital of Xinxiang Medical University Weihui 453100Henan P. R. China

Objective To investigate the inhibitory effects of combination chemotherapy of Carboplatin(CBP) ,Teniposide (Vm-26) ,Methasquin(MTX),and Nimodipine(NIM) on glioma,and to explore the sensitivity of glioma cells to different treatment regimens so as to provide some clues for clinical usage of interstitial combination chemotherapy. Methods MTT assay and 3H-TdR incorporation assay were performed to evaluate the inhibitory effects upon the proliferation of glioma cells,and to compare the sensitivity of glioma cells to administration of CBP,Vm-26, MTX, and NIM with that of the administration of CBP + NIM, Vm-26 + NIM, MTX + NIM, CBP + Vm-26 + MTX, or CBP + Vm-26 + MTX + NIM respectively. Results The inhibition rate of CBP + Vm-26 + MTX + NIM combination administration against glioma cells was 96.64%,which was higher than that of CBP + NIM (69.03%), Vm-26 + NIM (71.53%), MTX + NIM (52. 75% ), CBP + Vm-26 + MTX(78.59%)(P＜0.01),and the dosage of CBP,Vm-26,and MTX was declined to 1/10 ～ 1/100 that of respective use of CBP,Vm-26,and MTX. Conclusions The curative effects of combination administration of CBP,Vm-26, MTX, and NIM was much better than that of respective administration,suggesting a higher inhibition rate and a lower dosage use.

关键词： glioma combination administration interstitial chemotherapy

Grid-Connected/Islanded Switching Control Strategy for Photovoltaic Storage Hybrid Inverters Based on Modified Chimpanzee Optimization Algorithm

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Energy Engineering 2025年第1期122卷 265-284页

作者： Chao zhou NarisuWang Fuyin Ni Wenchao zhang School of Electrical and Information Engineering Jiangsu University of TechnologyChangzhou213001China Jiangsu Key Laboratory of Power Transmission&Distribution Equipment Technology Jiangsu University of TechnologyChangzhou213001China

Uneven power distribution,transient voltage,and frequency deviations are observed in the photovoltaic storage hybrid inverter during the switching between grid-connected and island *** response to these issues,this paper proposes a grid-connected/island switching control strategy for photovoltaic storage hybrid inverters based on the modified chimpanzee optimization *** proposed strategy incorporates coupling compensation and power differentiation elements based on the traditional droop ***,it combines the angular frequency and voltage amplitude adjustments provided by the phase-locked loop-free pre-synchronization control *** pre-synchronization is achieved by regulating the virtual current to zero and aligning the photovoltaic storage hybrid inverter with the grid ***,two novel operators,learning and emotional behaviors are introduced to enhance the optimization precision of the chimpanzee *** operators ensure high-precision and high-reliability optimization of the droop control parameters for photovoltaic storage hybrid inverters.A Simulink model was constructed for simulation analysis,which validated the optimized control strategy’s ability to evenly distribute power under load *** strategy effectively mitigated transient voltage and current surges during mode ***,seamless and efficient switching between gridconnected and island modes was achieved for the photovoltaic storage hybrid *** enhanced energy utilization efficiency,in turn,offers robust technical support for grid stability.

关键词： Photovoltaic storage hybrid inverters modified chimpanzee optimization algorithm droop control seamless switching

A Generative Model-Based Network Framework for Ecological Data Reconstruction

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Computers, Materials & Continua 2025年第1期82卷 929-948页

作者： Shuqiao Liu Zhao zhang Hongyan zhou Xuebo Chen School of Electronic and Information Engineering University of Science and Technology LiaoningAnshan114051China School of Computer Science and Software Engineering University of Science and Technology LiaoningAnshan114051China

This study examines the effectiveness of artificial intelligence techniques in generating high-quality environmental data for species introductory site selection *** Strengths,Weaknesses,Opportunities,Threats(SWOT)analysis data with Variation Autoencoder(VAE)and Generative AdversarialNetwork(GAN)the network framework model(SAE-GAN),is proposed for environmental data *** model combines two popular generative models,GAN and VAE,to generate features conditional on categorical data embedding after SWOT *** model is capable of generating features that resemble real feature distributions and adding sample factors to more accurately track individual sample *** data is used to retain more semantic information to generate *** model was applied to species in Southern California,USA,citing SWOT analysis data to train the *** show that the model is capable of integrating data from more comprehensive analyses than traditional methods and generating high-quality reconstructed data from them,effectively solving the problem of insufficient data collection in development *** model is further validated by the Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)classification assessment commonly used in the environmental data *** study provides a reliable and rich source of training data for species introduction site selection systems and makes a significant contribution to ecological and sustainable development.

关键词： Convolutional Neural Network(CNN) VAE GAN TOPSIS data reconstruction