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IE量化类方法下服装生产线平衡的研判 被引量:7
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作者 宋莹 《服装学报》 CAS 2017年第3期208-211,共4页
为了提高生产率,以量化类方法作为IE研究的主要手段,通过对服装企业作业程序分析,以作业内容、作业时间及流水线节拍为参数,创建数学模型,并计算得出企业的生产线平衡率;通过对平衡率的研判,将最终确定生产线的生产效率,并对其进行改善。
关键词 量化类方法 生产线平衡率 流水节拍 作业
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RESS软件与数量化-Ⅱ类分析方法在区域危险度评价中的应用 被引量:1
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作者 潘芷加 朱寿增 北园芳人 《工程地质学报》 CSCD 北大核心 2014年第1期38-45,共8页
2012年7月中旬日本熊本县迎来特大暴雨,暴雨在熊本县市区内引发洪水,并在位于其东北部的阿苏地区引发了数量巨大、后果严重的地质灾害。通过同年10月到11月之间多次现场灾害调查,发现当地的地质灾害主要类型有崩塌、滑坡和泥石流。当地... 2012年7月中旬日本熊本县迎来特大暴雨,暴雨在熊本县市区内引发洪水,并在位于其东北部的阿苏地区引发了数量巨大、后果严重的地质灾害。通过同年10月到11月之间多次现场灾害调查,发现当地的地质灾害主要类型有崩塌、滑坡和泥石流。当地的地理环境给相关部门后续的治理和修复工作带来了极大的不便利,同时耗费了大量的时间和资金,因而相对于灾后进行治理和修复工作,事前对于当地可能发生地质灾害的区域进行危险度评价,在危险度大的地方提前建立防护措施具有更大的实际和经济价值。本文运用日本熊本大学工学部环境岩土研究室自主研发的危险度评价RESS软件对选取的阿苏—坂梨区域进行危险度评价,获得了被研究区域的地势起伏度、横断面形状、斜面倾斜角度、集水面积、土地利用信息、土体表层地质、灾害场所变化情况等7个类别的解析图像和数据。结合使用数量化—Ⅱ类分析方法,对危险度评价的结果进行验证和扩展,危险度评价的准确率和灾害场所的判断准确率均高于研究要求,另外也获得了由RESS软件解析出来的各个类别的因子对于地质灾害事件的贡献度大小。依据危险度评价的结果绘制出被研究区域的地质灾害预测预警地图,该地图简单易懂,具有一定的社会共享意义和专业参考价值。 展开更多
关键词 地质灾害 危险度评价 量化—Ⅱ分析方法 地质灾害预测预警地图
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Progress on quantitative assessment of the impacts of climate change and human activities on cropland change 被引量:4
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作者 石晓丽 王卫 史文娇 《Journal of Geographical Sciences》 SCIE CSCD 2016年第3期339-354,共16页
It is important to study the contributions of climate change and human activities to cropland changes in the fields of both climate change and land use change. Relationships between cropland changes and driving forces... It is important to study the contributions of climate change and human activities to cropland changes in the fields of both climate change and land use change. Relationships between cropland changes and driving forces were qualitatively studied in most of the previous researches. However, the quantitative assessments of the contributions of climate change and human activities to cropland changes are needed to be explored for a better understanding of the dynamics of land use changes. We systematically reviewed the methods of identifying the contributions of climate change and human activities to cropland changes at quantitative aspects, including model analysis, mathematical statistical method, framework analysis, index assessment and difference comparison. Progress of the previous researches on quantitative evaluation of the contributions was introduced. Then we discussed four defects in the assessment of the contributions of climate change and human activities. For example, the methods were lack of comprehensiveness, and the data need to be more accurate and abundant. In addition, the scale was single and the explanations were biased. Moreover, we concluded a clue about quantitative approach to assess the contributions from synthetically aspect to specific driving forces. Finally, the solutions of the future researches on data, scale and explanation were proposed. 展开更多
关键词 climate change human activities CONTRIBUTIONS QUANTITATIVE cropland pattern
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Improved Canonical Quantization Method of Self Dual Field
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作者 樊丰华 黄永畅 《Communications in Theoretical Physics》 SCIE CAS CSCD 2012年第10期504-508,共5页
In this paper,the improved canonical quantization method of the self dual field is given in order to overcome linear combination problem about the second class constraint and the first class constraint number maximiza... In this paper,the improved canonical quantization method of the self dual field is given in order to overcome linear combination problem about the second class constraint and the first class constraint number maximization problem in the Dirac method.In the improved canonical quantization method,there are no artificial linear combination and the first class constraint number maximization problems,at the same time,the stability of the system is considered.Therefore,the improved canonical quantization method is more natural and easier accepted by people than the usual Dirac method.We use the improved canonical quantization method to realize the canonical quantization of the self dual field,which has relation with string theory successfully and the results are equal to the results by using the Dirac method. 展开更多
关键词 canonical quantization self dual field canonical quantization method
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A HYBRID PSO-SA OPTIMIZING APPROACH FOR SVM MODELS IN CLASSIFICATION
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作者 HUIYAN JIANG LINGBO ZOU 《International Journal of Biomathematics》 2013年第5期189-206,共18页
Support vector machine (SVM) is a widely used tool in the field of image processing and pattern recognition. However, the parameters selection of SVMs is a dilemma in disease identification and clinical diagnosis. T... Support vector machine (SVM) is a widely used tool in the field of image processing and pattern recognition. However, the parameters selection of SVMs is a dilemma in disease identification and clinical diagnosis. This paper proposed an improved parameter optimization method based on traditional particle swarm optimization (PSO) algorithm by changing the fitness function in the traditional evolution process of SVMs. Then, this PSO method was combined with simulated annealing global searching algorithm to avoid local convergence that traditional PSO algorithms usually run into. And this method has achieved better results which reflected in the receiver-operating characteristic curves in medical images classification and has gained considerable identification accuracy in clinical disease detection. 展开更多
关键词 Support vector machine disease detection global optimization.
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