邮轮属性评价与品牌定位

以全球最大的邮轮点评网站——邮轮评论家为数据来源渠道,以编辑（Editor/Expert）的文本点评以及对167艘邮轮10大属性的打分数据为样本,利用词频分析、回归分析、聚类分析和方差分析等方法,对全球21个邮轮品牌的产品属性、总体评价以及品牌定位问题进行了系统研究。结果表明,对于专业型游客来说,餐饮、客房和娱乐是关注度最高的船上属性,服务、性价比和公共空间是满意度最高的船上属性,客房、餐饮、公共空间、性价比和娱乐属性对邮轮总评具有显著影响。方差分析表明,与行业界定下的品牌行为相比,基于专业型游客感知的品牌划分更有效。     

单舰航线水文气象保障特点和思考

文中总结单舰航线水文气象保障业务的特点、难点,并结合航线水文气象保障的现状提出一些个人的建设性建议。     

基于神经-模糊方法的单料烟感官质量评价专家系统

作者通过对单料烟评吸的结果与理化测定的指标参数进行分析 ,结合专家经验并采用神经 -模糊方法 ,提出一种基于单料烟的理化指标对各感官参数进行分类、分级 ,建造单料烟感官质量评价专家系统的方法。实验表明 ,该系统具有学习与知识提取能力 ,在卷烟产品质量管理新产品开发中具有指导意义     

An interactive system to assist mineral identification in ore microscopy

An interactive computer system has been developed to assist the mineral identification in ore microscopy. The reference file of the system consists of optical, mechanical, and chemical properties of about 130 ore minerals. The properties are name, chemical formula, color, bireflectance, anisotropism, internal reflection, reflectance at wavelengths of 470, 546, 589, and 650 nm, and polishing hardness and micro-indentation hardness. All the properties except reflectance and microindentation hardness are qualitative or semi-qualitative. Most of the properties are given as characters relative to the more common minerals. This implies that most of the identification processes advance on the basis of the comparison between a subject mineral and coexisting minerals. For this reason, the system asks a user at first to input already identified mineral names. This is quite different from the mineral identification procedures used in petrographic microscopy. To reduce the number of possible minerals, the system presents a series of questions to a user, and the user selects any of the prepared answers according to his observation. The user can also choose any desired question independently of the sequence. The user is expected to be able to recognize some common minerals, such as pyrite, chalcopyrite, galena, and hematite, without the assistance of the system.     

泰国的地震活动及地震工作的现状

应泰国气象厅的邀请，固定地震局派遣了由郑斯华、叶洪组成的中国国家地震局专家组，于１９９４年８月１７日至９月４日访问考察了泰国。访问期间，泰国地震专家们向专家组介绍了泰国的地震活动性和地震工作现状；专家组访问了泰国Ｃｈｕｌａｌｏｎｇｋｏｒｎ大学的土木工程系，了解了泰国地震工程研究的情况。本文介绍了泰国的地震构造和地震活动性以及泰国的地震工作现状等。     

DATABASE STRUCTURE FOR THE INTEGRATION OF RS WITH GIS BASED ON SEMANTIC NETWORK

1　ＴｈｅｃｏｎｃｅｐｔｏｆｔｈｅｉｎｔｅｇｒａｔｉｏｎｏｆＲＳｗｉｔｈＧＩＳＴｈｅｉｎｔｅｇｒａｔｉｏｎｏｆｒｅｍｏｔｅｓｅｎｓｉｎｇ (ＲＳ)ｗｉｔｈｇｅｏ ｇｒａｐｈｉｃａｌｉｎｆｏｒｍａｔｉｏｎｓｙｓｔｅｍ (ＧＩＳ)ｉｓａｈｏｔｓｐｏｔｉｎｇｅｏｇｒａｐｈｉｃａｌｉｎｆｏｒｍａｔｉｏｎｓｃｉｅｎｃｅ .ＴｈｅｃｏｎｃｅｐｔｏｆｔｈｅｉｎｔｅｇｒａｔｉｏｎｏｆＲＳｗｉｔｈＧＩＳ ,ｉｎｔｈｅｖｉｅｗｏｆＰｒｏｆ.ＬｉＤｅｒｅｎ ,ｉｓｔｈａｔＲＳｉｓｔｈｅｗａｙｔｏｏｂｔａｉｎｔｈｅｉｎｆｏｒｍａ ｔｉ…     

A Reliability Based Expert System for Assessment and Mitigation of Landslides Hazard Under Seismic Loading

Different models were developed for evaluating the probabilistic three-dimensional (3-D) stability analysis of earth slopes and embankments under earthquake loading using both the safety factor and the displacement criteria of slope failure.The probabilistic models evaluate the probability of failure under seismic loading considering the different sources of uncertainties involved in the problem. The models also take into consideration the spatial variabilities and correlations of soil properties. The developed models are incorporated in a computer program PTDDSSA.These analysis/design procedures are incorporated within a code named SARETL developed in this study for stability analysis and remediation of earthquake triggered landslides. In addition to the dynamic inertia forces, the system takes into consideration local site effects.The code is capable of assessing the landslide hazard affecting major transportation routes in the event of earthquakes and preparing earthquake induced landslide hazard maps (i.e., maps showing expected displacements and probability of slope/embankments failure) for different earthquake magnitudes and environmental conditions. It can also beused for proposing a mitigation strategy against landslides.     

The expert system for earthquake prediction (I)—the overall design and main structure

The Expert System For Earthquake Prediction (ESEP) is summarized in this paper. ESEP embraces three subsystems: long-middle term prediction system, annual prediction system and middle-short term prediction system. Each of the subsystems is composed of seven modules: the controlling module, the data base module, the expert knowledge base module, the method base module, the fact preparation module, the reasoning and decision-making module and the plotting and displaying module. The reasoning model ESEP/R and the knowledge expression model ESEP/K are set up in the ESEP, and new evidence combinations, CON (confine), W (weigh), and SYN (synthesize), have been proposed. The distinctive features of the ESEP are: (1) systemized; (2) several experts’ knowledge can be synthesized; (3) a large amount of data and experts’ experience is embraced; (4) four reasoning models and the synthetic decision-making technic are adopted; (5) several software environments are used; (6) modularization; and (7) possessing the friendly user interfaces. The Chinese version of this paper appeared in the Chinese edition ofActa Seismologica Sinica,14, 1–8, 1992.     

Fast Nearest Neighbor Classification Methods for Multispectral Imagery

Nearest neighbor classifiers have not been widely used by remote sensing practitioners. The lack of acceptance of these classifiers may be partially due to their notoriously slow speed of execution which makes them impractical for the classification of mega-pixel images. However, training data reduction, distance measure optimization, and neighbor searching algorithms based on the modified k-d tree can speed nearest neighbor classification substantially.