An Optimal Algorithm for the Retrieval of Chlorophyll,Suspended Sediments and Gelbstoff of Case Ⅱ Waters in the Pearl River Estuary

An optimal algorithm for the retrieval of chlorophyll, suspended sediments and gelbstoff of case Ⅱ waters in the Pearl River estuary was established with the optical parameters derived from the in-situ data obtained in Jan. 2003 in the same area. And then, the chlorophyll, suspended sediments and gelbstoff of the SeaWiFS pixels on Jan. 29, 2003 corresponding to the in-situ sites of Jan. 25 and 26, 2003 were synchronously retrieved, with average relative errors of 14.9%, 12.1% and 13.6% for chlorophyll, suspended sediments and gelbstoff, respectively. The research results indicated that the optimal retrieval algorithm established here was relatively fit for the retrieval of the chlorophyll, suspended sediments and gelbstoff of case Ⅱ waters in the Pearl River estuary, and had quite good retrieval accuracy.

Dynamic Case Retrieval Method With Subjective Preferences and Objective Information for Emergency Decision Making

Case-based reasoning(CBR) is one of the best methods for generating an effective solution in an emergency. In recent years, some methods for generating emergency alternatives have been included in practical CBR applications, but there have been no in-depth studies of these processes. In this study,we propose a new method for dynamic case retrieval with subjective preferences and objective information, which considers the personal preferences of the decision makers and changes in the attributes of the emergency as the situation develops. First,we present a formula for calculating the case similarity and changing trends in the case considered, where similar cases are obtained. Next, we describe a method for measuring the overall assessment value with respect to similar historical cases, which is obtained by aggregating the case similarity, the utility case similarity, the first response time, and the implementation effect.The subjective preferences and objective information are also integrated in the decision-making process. Finally, we present a case study based on the emergency response to a fire in a highrise building, which illustrates the applicability and feasibility of the proposed method.

An Approach to Improving the Retrieval Accuracy of Oceanic Constituents in Case Ⅱ Waters

In the present paper, a method is proposed to improve the performance of Artificial Neural Network (ANN) based algorithms for the retrieval of oceanic constituents in Case Ⅱ waters. The ANN-based algorithms have been developed based on a constraint condition, which represents, to a certain degree, the correlation between suspended particulate matter (SPM) and pigment (CHL), coloured dissolved organic matter (CDOM) and CHL, as well as CDOM and SPM, found in Case Ⅱ waters. Compared with the ANN-based algorithm developed without a constraint condition, the performance of ANN-based algorithms developed with a constraint conditions is much better for the retrieval of CHL and CDOM, especially in the case of high noise levels; however, there is not significant improvement for the retrieval of SPM.

Borderline form of empty follicle syndrome treated with a novel dual trigger method combined with delayed oocyte retrieval: A case report

BACKGROUND Borderline form of empty follicle syndrome is a condition in which only a few mature or immature oocytes are recovered after meticulous follicular aspiration,despite adequate ovarian response to stimulation.It is a rare phenomenon with an unclear cause.Currently,the condition still lacks effective treatment.CASE SUMMARY A patient with secondary infertility who had undergone three cycles of assisted reproductive technique(ART)is described.With regard to good follicular response,two oocytes were obtained in the first two ART cycles,but no embryo was formed.In the third ART cycle,which is the subject of this study,ovulation was induced by dual trigger of a supernormal dose of human chorionic gonadotropin(HCG)combined with a delayed oocyte retrieval approach.The method involved administration of gonadotropin-releasing hormone agonist,recombinant HCG,and urinary HCG 39 h before ovum pick-up.Ten oocytes were recovered,two out of three mature eggs were fertilized after intracytoplasmic sperm injection,resulting in two embryos that were subsequently cryopreserved.The case report guidelines have been used herein to present the first case of this novel dual trigger method.CONCLUSION This approach provides a new treatment option for patients with a similar condition in the future.This study can also inspire further investigation on the effects of variousβ-HCG serum levels 36 h after intramuscular HCG administration.

A Retrieval Matching Method Based Case Learning for 3D Model

The similarity metric in traditional content based 3D model retrieval method mainly refers the distance metric algorithm used in 2D image retrieval. But this method will limit the matching breadth. This paper proposes a new retrieval matching method based on case learning to enlarge the retrieval matching scope. In this method, the shortest path in Graph theory is used to analyze the similarity how the nodes on the path between query model and matched model effect. Then, the label propagation method and k nearest-neighbor method based on case learning is studied and used to improve the retrieval efficiency based on the existing feature extraction.

A Case Retrieval Projection Pursuit Model for Configuration Design of a Product Family

The paper studies on case-based reasoning of uncertain product attributes in configuration design of a product family. Interval numbers characterize uncertain product attributes. By interpolating a number of certain values randomly to replace interval numbers and making projection pursuit analysis on source cases and target cases of expanded numbers, we can get a projection value in the optimal projection direction. Based on projection value, we can construct a case retrieval model of projection pursuit that can handle coexisting certain and uncertain product attributes. The application examples of chainsaw configuration design show that case retrieval is highly sensitive to reliable results.

Case Retrieval Method of Multi-parameter for Customized Product

The CBR (Case-Based Reasoning) usually is been used to accomplish customized products by variant design or reusable design.In the CBR,retrieve is very important.A simple case retrieval method is been brought forward to retrieve a opti- mal prototype based on using inputted multi-parameters,it can be programmed easily.An example has been proved this method can find optimal prototype for new design task efficiently.

特征融合的装修案例跨模态检索方法

目前家装客服系统中主要依靠人工方式进行装修案例检索,导致该系统不能满足用户对咨询服务快捷、及时的需求而且人力成本高,故提出一种基于特征融合的装修案例跨模态检索算法。针对多模态数据的语义信息挖掘不充分,模型检索精度低等问题,对现有的风格聚合模块进行改进,在原始模块中引入通道注意力机制,以此来为每组装修案例中不同图片的特征向量添加合适的权重,从而增强包含更多有用信息的重要特征并削弱其他不重要的特征。同时,为充分利用多模态信息,设计一种适用于检索场景下的多模态特征融合模块,该模块能够自适应地控制2种不同模态的特征向量进行一系列的融合操作,以实现跨模态数据间的知识流动与共享,从而生成语义更丰富、表达能力更强的特征向量,进一步提升模型的检索性能。在自建的装修案例多模态数据集上将该方法与其他方法进行比较,试验结果表明本文方法在装修案例检索上具有更优越的性能。

基于多异构属性和不完全权重信息的案例检索方法

针对多异构属性和不完全权重信息的案例检索问题,提出了一种基于后悔理论的案例检索方法。通过定义基于属性相似度和后悔理论(RT)的感知效用函数,并基于线性规划技术的多维偏好分析(LINMAP),构建了确定属性权重的数学规划模型。在此基础上,计算感知效用,并确定一组类似的历史案例,计算相似历史案例的综合效用,得到相似历史案例的排序,从而获得最适合的历史案例。最后,以瓦斯爆炸案例验证该方法的可行性与有效性。结果表明:该方法可以在计算案例相似性和综合效用时提供更客观、准确的结果。

考虑舆情演化态势影响的突发事件两阶段应急案例检索方法

针对突发事件衍生的舆情信息及其演化态势影响应急处置决策的问题,本文提出一种考虑舆情演化态势影响的突发事件两阶段应急案例检索方法。首先,通过计算舆情信息热度值,判断舆情演化态势的影响程度,并确定案例检索阶段;其次,通过融入决策者风险感知偏好,计算事件属性及事件的相似度,并构建第一阶段案例检索过程;在此基础上,通过计算和集结舆情信息属性及舆情信息的相似度,得到案例的综合相似度,并构建第二阶段案例检索过程;最后,通过案例应用和方法对比验证了所提方法的可行性及有效性。结果表明,所提方法不仅能够反映决策者风险感知偏好在应急案例检索中的重要作用,还能够体现事件衍生的舆情信息及其演化态势对决策结果的影响。

信息化时代的法学实践教学方法革新——以家事法教学中运用类案检索方法为例

类案检索是信息化时代法学实践教学方法革新的重要途径和有效方案。以吉林大学法学院和西北政法大学为起始的类案检索教学改革试点经验,证实了该种教学方法在学生法律思维训练、法学分析能力提升、自主学习能力养成方面的效能。但必须承认,类案检索方法在受益于信息时代给予的信息便利的同时,也受制于信息公开的有限范围。跨越这一障碍,不仅需要文书公开制度的开放与包容,更需要法律共同体多机构间的有效合作。

“医学文献检索与利用”课程思政教学案例库的构建与应用

在医学教育领域,医学文献检索与利用课程是医学生提升专业素养和科研能力的重要课程。然而,如何将思政教育有效融入该课程,培养学生的职业道德和社会责任感,成为当前医学教育面临的重要挑战。为此,构建医学文献检索与利用课程思政教学案例库,成为一项具有深远意义的教育创新。

基于Hypergraph的突发事件情景案例表示与检索方法研究

[研究目的]突发事件具有情景演化特征,突发事件案例不仅要对单个情景特征进行描述,也要描述不同情景之间的演化关系。[研究方法]在对突发事件情景演化机理和情景案例特征分析基础上,引入超图理论,将其应用于突发事件情景案例表示,建立了突发事件情景链超图模型,并基于该模型提出了包括情景链检索和情景特征检索的两阶段检索策略和相应的相似度计算方法。[研究结论]该模型能够有效描述突发事件情景案例的复杂演化特征,并能提高案例检索的质量和效果。

模具结构辅助设计Case智能推理系统

基于事例的推理技术 CBR是人工智能技术发展的重要领域之一 ,而大型事例库的检索 ,一般的索引法和最近邻法等方法难以达到快速、准确的检索要求。因此 ,有必要研究智能检索推理技术。本文根据事例学习的决策树 ID3和 PID算法 ,提出了多概念学习决策树 MNID算法 ,开发了基于事例学习的智能模具相似结构推理系统 ,并应用于冲模凸模结构 Case库的检索 ,效果很好 ,系统通过事例的自主学习 ,产生出推理规则 ,并能根据用户对所设计模具结构的要求 ,自动检索出符合设计要求的相似 Case,实现了 CAD过程中大型 Case库的自动检索。

人工智能类案检索机制的发展与完善

在大数据时代,以人工智能技术服务于类案检索,有助于提升案件的查全率和查准率,促进类案类判。人工智能类案检索机制的发展经历了三个阶段,即萌芽期、试行期与发展期,逐步成为推动审判流程标准化的一种长效机制,促进法官作出正确裁判。但在目前司法实践中,存在着诸如检索缺乏刚性约束机制与激励机制,数据库案例总量偏低、种类过少、数据来源较单一,智能系统的案例标识技术尚欠专业等问题,影响着类案检索制度的实际运行效果。因此,人工智能类案检索机制还有待于进一步完善:应实现从问责为主到激励为先的转变,在赋予法官强制检索义务的同时,探索和建立科学合理的激励机制,鼓励法官在司法实践中积极开展类案检索工作;应建设统一完备的司法数据库,将具有典型性、指导性、权威性的指导性案例和参考案例收入司法数据库;应提升案例要素标识的精准度,凸现案件的要素特征,从而推进类案检索智能化、精准化。

基于法条知识的事理型类案检索方法

现有类案检索研究忽略了模型应当蕴含的法律逻辑,无法适应实际应用中案件相似标准的要求;类案检索任务的中文数据集较少,难以满足研究需求现状.为此提出基于法律逻辑、有较强可解释性的类案检索模型,构建以谓语动词为基础的案件事理图谱.将各类罪名对应的法条知识融入所提模型,将提取的不同要素输入以神经网络为基础的评分器以实现准确、高效的类案检索.构建针对类案检索任务、以易混淆罪名组为主要检索案由的Confusing-LeCaRD数据集,所提模型在LeCaRD数据集和Confusing-LeCaRD数据集上的归一化折损累计增益分别为90.95%和94.64%,在各项指标上均优于TF-IDF、BM25和BERT-PLI模型.

我国“区域性”类案检索机制的实践检视及完善进路

我国国情和司法实践之独特性决定了类案检索机制之定位应当是“区域性”而非“全域性”。上述特点决定了我国“区域性”类案检索机制之构建应当是对我国司法实践经验的总结和提炼,而非简单借鉴域外法治。通过对我国类案检索机制“区域性”试点之考察,可以发现我国“区域性”类案检索机制存在着适用主体差异性、类案识别标准不一致性以及类案检索效力模糊性之弊端。应当明确法官与当事人在类案检索机制具体适用上的权利义务分配,并且统一区域内类案识别标准,在明确类案检索机制的辅助作用的同时,通过层次化的效力构建总结和完善我国“区域性”类案检索机制在司法实践中的具体适用。

基于案例推理的刀具切削参数推荐方法研究

合理切削参数的选用对制造企业的生产效益有直接影响。传统切削参数选用往往根据经验、手册选取,对人的依赖性较大。为增加切削参数选取的客观性,解决切削参数选取困难的问题,结合目前人工智能技术的研究成果,将灰色关联分析法融入案例检索方法中,并通过妥协排序法(VIKOR)实现了切削参数的推荐。通过实例验证可得,经所提方法选出的相似工艺案例及推荐的刀具参数较为合理,从而验证了该方法的可行性和有效性。

基于 CASE 的汽车诊断系统的设计与实现

简要介绍了作者所研制的汽车故障诊断专家系统ＡＢＤＥＳ（Ａｕｔｏ－ｍｏｂｉｌｅＢｒｅａｋｄｏｗｎＤｉａｇｎｏｓｉｓＥｘｐｅｒｔＳｙｓｔｅｍ）的设计与实现方法，重点介绍了基于实例的推理（Ｃａｓｅ－ｂａｓｓｅｄＲｅａｓｏｎｉｎｇ，简称ＣＢＲ）的应用。并提出个一个ＣＢＲ的实现算法。

长三角区域司法案件类案检索机制的实践路径

长三角一体化的国家战略要求区域适法统一,为一体化发展提供优质司法保障。类案检索机制能够有效推动适法统一,但需平衡机制效用与审判效率,尊重法官独立行使审判权,避免严格繁琐的检索规范使类案检索流于形式。应当进行类案检索的案件以裁判规则缺失或不明为限,“应当”指向检索程序的启动,而非检索结果的采纳,不能仅以裁判结果的正确性判断类案参考的准确性。检索初期,可以通过案由、关键词、裁判依据等识别类案,进而根据一定顺位筛选可参考的类案。需撰写类案检索报告供案件评议参考的,报告格式可以相对统一,这样可提高撰写及参阅效率,并便于数字化归入检索平台,延伸检索成果的司法效用。