检索结果-南通市图书馆

RELATION BETWEEN WIENER NUMBERS OF QUASI-HEXAGONAL CHAINS AND QUASI-POLYOMINO CHAINS

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Systems Science & Complexity 2010年第4期23卷 873-882页

作者： Mingfang XIE fuji ZHANG College of Jinshan Fujian Agriculture and Forestry University Fuzhou 350002 China fuji ZHANG Institute of Mathematics Xiamen University Xiamen 361005 China

Let Q_n and B_n denote a quasi-polyomino chain with n squares and a quasi-hexagonalchain with n hexagons,*** this paper,the authors establish a relation between the Wienernumbers of Q_n and B_n:W(Q_n)=1/4[W(B_n)-8/3n^3+(14)/3n+3].And the extremal quasi-polyominochains with respect to the Wiener number are ***,several classes of polyominochains with large Wiener numbers are ordered.

关键词： Hexagonal chain polyomino chain quasi-hexagonal chains quasi-polyomino chain Wiener number.

Molecular profiling of hepatocellular carcinomas by cDNA microarray

在线全文

学校读者我要写书评

暂无评论

World Journal of Gastroenterology 2005年第4期11卷 463-468页

作者： Lian-HaiZhang Jia-fuji PekingUniversitySchoolofOncology BeijingCancerHospitalBeijingInstituteforCancerResearchBeijing100034China

Hepatocellular carcinoma (HCC) is one of the most common cancers in the world. Conventional diagnosis and treatment of this malignancy have been dismal and should be complemented by novel tools. The development and progress of HCC are believed to be caused by the accumulation of genetic changes resulting in altered expression of thousands of cancer-related genes, which can be measured by globe genetic analysis. Gene expression profiling of HCC has been employed to elucidate hepatocarcinogenesis and disclose molecular mechanisms underlying complex clinical *** phenotype-associated genes/profiles has impacts on current diagnosis and management strategy of HCC. In spite of some pitfalls of this technology and challenges in improving the research process, scrutinous validation of profiling data of HCC combined with other approaches will eventually benefit the patients.

关键词： Hepatocellular carcinomas cDNA microarray Gene expression profiling

Superfunctional high-entropy alloys and ceramics by severe plastic deformation

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Rare Metals 2023年第10期42卷 3246-3268页

作者： Parisa Edalati Masayoshi fuji kaveh Edalati Department of Life Science and Applied Chemistry Nagoya Institute of TechnologyTajimi507-0071Japan Advanced Ceramics Research Center Nagoya Institute of TechnologyTajimi507-0071Japan WPI International Institute for Carbon-Neutral Energy Research(WPI-I2CNER) Kyushu UniversityFukuoka819-0395Japan Mitsui Chemicals Inc.—Carbon Neutral Research Center(MCI-CNRC)Kyushu UniversityFukuoka819-0395Japan

High-entropy alloys and ceramics containing at least five principal elements have recently received high attention for various mechanical and functional *** application of severe plastic deformation(SPD),particularly the high-pressure torsion method,combined with the CALPHAD(calculation of phase diagram) and first-principles calculations resulted in the development of numerous superfunctional high-entropy materials with superior properties compared to the normal functions of engineering *** article reviews the recent advances in the application of SPD to developing superfunctional high-entropy *** superfunctional properties include(ⅰ) ultrahigh hardness levels comparable to the hardness of ceramics in high-entropy alloys,(ⅱ) high yield strength and good hydrogen embrittlement resistance in high-entropy alloys;(ⅲ) high strength,low elastic modulus,and high biocompatibility in high-entropy alloys,(ⅳ) fast and reversible hydrogen storage in high-entropy hydrides,(ⅴ) photovoltaic performance and photocurrent generation on high-entropy semiconductors,(ⅵ) photocatalytic oxygen and hydrogen production from water splitting on high-entropy oxides and oxynitrides,and(ⅶ)CO_(2) photoreduction on high-entropy *** findings introduce SPD as not only a processing tool to improve the properties of existing high-entropy materials but also as a synthesis tool to produce novel high-entropy materials with superior properties compared with conventional engineering materials.

关键词： Multi-principal element alloys(MPEAs) High-entropy alloys(HEAs) High-entropy ceramics(HECs) High-entropy oxides(HEOs) Ultrafine-grained(UFG)microstructure High-pressure torsion(HPT)

Differently implicational α-universal triple I restriction method of (1, 2, 2) type

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Engineering and Electronics 2012年第4期23卷 560-573页

作者： Yiming Tang fuji Ren Yanxiang Chen Information and Communication Engineering Postdoctoral Research Station Hefei University of TechnologyHefei 230009P.R.China State key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijing 100191P.R.China Anhui Province key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of TechnologyHefei 230009P.R.China Institute of Technology and Science The University of TokushimaMinami Josanjima770-8506Japan

From the viewpoints of both fuzzy system and fuzzy reasoning, a new fuzzy reasoning method which contains the α- triple I restriction method as its particular case is proposed. The previous α-triple I restriction principles are improved, and then the optimal restriction solutions of this new method are achieved, especially for seven familiar implications. As its special case, the corresponding results of α-triple I restriction method are obtained and improved. Lastly, it is found by examples that this new method is more reasonable than the α-triple I restriction method.

关键词： fuzzy reasoning fuzzy system triple I method triple Irestriction method compositional rule of inference method.

CERG:Chinese Emotional Response Generator with Retrieval Method

在线全文

学校读者我要写书评

暂无评论

Research 2020年第1期2020卷 404-411页

作者： Yangyang Zhou fuji Ren Faculty of Engineer University of TokushimaTokushima 770-8506Japan

The dialogue system has always been one of the important topics in the domain of artificial *** far,most of the mature dialogue systems are task-oriented based,while non-task-oriented dialogue systems still have a lot of room for *** propose a data-driven non-task-oriented dialogue generator“CERG”based on neural *** model has the emotion recognition capability and can generate corresponding *** data set we adopt comes from the NTCIR-14 STC-3 CECG subtask,which contains more than 1.7 million Chinese Weibo post-response pairs and 6 emotion *** try to concatenate the post and the response with the emotion,then mask the response part of the input text character by character to emulate the encoder-decoder *** use the improved transformer blocks as the core to build the model and add regularization methods to alleviate the problems of overcorrection and exposure *** introduce the retrieval method to the inference process to improve the semantic relevance of generated *** results of the manual evaluation show that our proposed model can make different responses to different emotions to improve the human-computer interaction *** model can be applied to lots of domains,such as automatic reply robots of social application.

关键词： computer artificial character

Exploring Latent Semantic Information for Textual Emotion Recognition in Blog Articles

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2018年第1期5卷 204-216页

作者： Xin kang fuji Ren Yunong Wu Faculty of Engineering Tokushima University 2-1 Minamijyousanjima-cho Tokushima 770-8506 Japan IEEE

Understanding people's emotions through natural language is a challenging task for intelligent systems based on Internet of Things(Io T). The major difficulty is caused by the lack of basic knowledge in emotion expressions with respect to a variety of real world contexts. In this paper, we propose a Bayesian inference method to explore the latent semantic dimensions as contextual information in natural language and to learn the knowledge of emotion expressions based on these semantic dimensions. Our method synchronously infers the latent semantic dimensions as topics in words and predicts the emotion labels in both word-level and document-level texts. The Bayesian inference results enable us to visualize the connection between words and emotions with respect to different semantic dimensions. And by further incorporating a corpus-level hierarchy in the document emotion distribution assumption, we could balance the document emotion recognition results and achieve even better word and document emotion predictions. Our experiment of the wordlevel and the document-level emotion predictions, based on a well-developed Chinese emotion corpus Ren-CECps, renders both higher accuracy and better robustness in the word-level and the document-level emotion predictions compared to the state-of-theart emotion prediction algorithms.

关键词： Bayesian inference emotion-topic model emotion recognition multi-label classification natural language understanding

Characteristics Prediction Method of Electro-hydraulic Servo Valve Based on Rough Set and Adaptive Neuro-fuzzy Inference System

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Mechanical Engineering 2010年第2期23卷 200-208页

作者： JIA Zhenyuan MA Jianwei WANG fuji LIU Wei key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education Dalian University of Technology Dalian 116024 China

Synthesis characteristics of the electro-hydraulic servo valve are key factors to determine eligibility of the hydraulic production. Testing all synthesis characteristics of the electro-hydraulic servo valve after assembling leads to high repair rate and reject rate, so accurate prediction for the synthesis characteristics in the industrial production is particular important in decreasing the repair rate and the reject rate of the product. However, the research in forecasting synthesis characteristics of the electro-hydraulic servo valve is rare. In this work, a hybrid prediction method was proposed based on rough set（RS） and adaptive neuro-fuzzy inference system（ANFIS） in order to predict synthesis characteristics of electro-hydraulic servo valve. Since the geometric factors affecting the synthesis characteristics of the electro-hydraulic servo valve are from workers＇ experience, the inputs of the prediction method are uncertain. RS-based attributes reduction was used as the preprocessor, and then the exact geometric factors affecting the synthesis characteristics of the electro-hydraulic servo valve were obtained. On the basis of the exact geometric factors, ANFIS was used to build the final prediction model. A typical electro-hydraulic servo valve production was used to demonstrate the proposed prediction method. The prediction results showed that the proposed prediction method was more applicable than the artificial neural networks（ANN） in predicting the synthesis characteristics of electro-hydraulic servo valve, and the proposed prediction method was a powerful tool to predict synthesis characteristics of the electro-hydraulic servo valve. Moreover, with the use of the advantages of RS and ANFIS, the highly effective forecasting framework in this study can also be applied to other problems involving synthesis characteristics forecasting.

关键词： characteristics prediction rough set adaptive neuro-fuzzy inference system electro-hydraulic servo valve,artificial neural networks

Statistical Description of Debris Particle Size Distribution in Electrical Discharge Machining

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Mechanical Engineering 2011年第1期24卷 67-72页

作者： JIA Zhenyuan ZHENG Xinyi WANG fuji LIU Wei key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education Dalian University of Technology Dalian 116023 China

Gap debris as discharge product is closely related to machining process in electrical discharge machining（EDM）. A lot of recent researches have focused on the relationship among debris size, surfaces texture, remove rate, and machining stability. The study on statistical distribution of debris size contributes to the research, but it is still superficial currently. In order to obtain the distribution law of the debris particle size, laser particle size analyzer（LPSA） combined with scanning electron microscope（SEM） is used to analyze the EDM debris size. Firstly, the heating dried method is applied to obtain the debris particles. Secondly, the measuring range of LPSA is determined as 0.5–100 μm by SEM observation, and the frequency distribution histogram and the cumulative frequency distribution scattergram of debris size are obtained by using LPSA. Thirdly, according to the distribution characteristic of the frequency distribution histogram, the statistical distribution functions of lognormal, exponentially modified Gaussian（EMG）, Gamma and Weibull are chosen to achieve curve fitting of the histogram. At last, the distribute law of the debris size is obtained by fitting results. Experiments with different discharge parameters are carried out on an EDM machine designed by the authors themselves, and the machining conditions are tool electrode of red-copper material, workpiece of ANSI 1045 material and working fluid of de-ionized water. The experimental results indicate that the debris sizes of all experiment sample truly obey the Weibull distribution. The obtained distribution law is significantly important for all the models established based on the debris particle size.

关键词： electrical discharge machining debris particle measurement size distribution curve fitting

Explicit Correlation Model of Multi-source Constraints for Re-design Parts with Complex Curved Surface

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Mechanical Engineering 2014年第2期27卷 385-391页

作者： JIA Zhenyuan WANG fuji WANG Yongqing GUO Dongming key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education Dalian University of Technology

In precision machining of complex curved surface parts with high performance, geometry accuracy is not the only constraint, but the performance should also be met. Performance of this kind of parts is closely related to the geometrical and physical parameters, so the final actual size and shape are affected by multiple source constraints, such as geometry, physics, and performance. These parts are rather difficult to be manufactured and new manufacturing method according to performance requirement is urgently needed. Based on performance and manufacturing requirements for complex curved surface parts, a new classification method is proposed, which divided the complex curved surface parts into two categories： surface re-design complex curved surface parts with multi-source constraints（PRCS） and surface unique complex curved surface parts with pure geometric constraints（PUCS）. A correlation model is constructed between the performance and multi-source constraints for PRCS, which reveals the correlation between the performance and multi-source constraints. A re-design method is also developed. Through solving the correlation model of the typical paws performance-associated surface, the mapping relation between the performance-associated surface and the related removal amount is obtained. The explicit correlation model and the method for the corresponding related removal amount of the performance-associated surface are built based on the classification of surface re-design complex curved surface parts with multi-source constraints. Research results have been used in the actual processing of the typical parts such as radome, common bottom components, nozzle, et al., which shows improved efficiency and accuracy of the precision machining for the surface re-design parts with complex curved surface.

关键词： multi-source constraints surface re-design performance associated surface explicit correlation model