Palm Oil: A New Ethics of Visibility for the Production Landscape

The explosion of the palm oil industry in recent decades has transformed vast swathes of the Malaysian and Indonesian countryside. Milica Topalovic , Assistant Professor of Architecture and Territorial Planning at ETH Zurich, asserts that the resulting agro-industrial landscapes challenge the very concept of what is rural, and considers how such areas should be conceptualised.     

Flexible feature discovery and structural information control

In this paper, we propose a new information theoretic method called structural information control for flexible feature discovery. The new method has three distinctive characteristics, which traditional competitive learning fails to offer. First, the new method can directly control competitive unit activation patterns, whereas traditional competitive learning does not have any means to control them. Thus, with the new method, it is possible to extract salient features not discovered by traditional methods. Second, competitive units compete witheach other by maximizing their information content about input patterns. Consequently, this information maximization makes it possible to control flexibly competition processes. Third, in structural information control, it is possible to define many different kinds of information content, and we can choose a specific type of information according to a given objective. When applied to competitive learning, structural information can be used to control the number of dead or spare units, and to extract macro as well as micro features of input patterns in explicit ways. We first applied this method to simple pattern classification to demonstrate that information can be controlled and that different neuron firing patterns can be generated. Second, a dipole problem was used to show that structural information could provide representations similar to those by the conventional competitive learning methods. Finally, we applied the method to a language acquisition problem in which networks must flexibly discover some linguistic rules by changing structural information. Especially, we attempted to examine the effect of the information parameter to control the number of dead neurons, and thus to examine how macro and micro features in input patterns can explicitly be discovered by structural information.     

Visual Recommendations for Network Navigation

Understanding large, complex networks is important for many critical tasks, including decision making, process optimization, and threat detection. Existing network analysis tools often lack intuitive interfaces to support the exploration of large scale data. We present a visual recommendation system to help guide users during navigation of network data. Collaborative filtering, similarity metrics, and relative importance are used to generate recommendations of potentially significant nodes for users to explore. In addition, graph layout and node visibility are adjusted in real‐time to accommodate recommendation display and to reduce visual clutter. Case studies are presented to show how our design can improve network exploration.     

Discovering characteristic patterns from collections of classical Japanese poems

Waka is a form of traditional Japanese poetry with a 1300-year history. In this paper, we attempt to discover characteristics common to a collection ofwaka poems. As a schema for characteristics, we use regular patterns where the constant parts are limited to sequences of auxiliary verbs and postpostional particles. We call such patternsfushi. The problem is to automate the process of finding significantfushi patterns that characterize the poems. Solving this problem requires a reliable significance measure for the patterns. Brāzma et al. (1996) proposed such a measure according to the MDL principle. Using this method, we report successful results in finding patterns from five anthologies. Some of the results are quite stimulating, and we hope that they will lead to new discoveries. Mayumi Yamasaki, M.A.: She received her B.E. and M.A. degrees from Kyushu Institute of Technology in 1997 and from Kyushu University in 1999, respectively. Her research interests include machine discovery and datamining. Presently, she works at Fujitsu FIP Corporation. Masayuki Takeda, Dr. Eng.: He is an Associate Professor in Department of informatics at Kyushu University. He received his B.S., M.S., and Dr. Eng. degrees from Kyushu University in 1987, 1989 and 1996 respectively. His present research interests include pattern matching algorithims, text compression, discovery science, information retrieval and natural language processing. He is a member of Information Processing Society of Japan, Japanese Society for Artificial Intelligence and Japanese Society for Soft-ware Science and Technology. Tomoko Fukuda, M.A.: She is a Lecturer at Fukuoka Jo Gakuin University and at Junshin Women’s Junior College, She received her B.A. and M.A. degrees from Fukuoka Women’s University in 1987 and from Kyushu University in 1992 respectively. Her present research interests are in Japanese literature in the Heian period and classical 31-syllable Japanese poems. She is a member of Waka-Bungaku Kai (Society for Study of Japanese Poems) and Chuko-Bungaku Kai (Society for Study of Japanese Literature in the Heian Period). Ichiro Nanri, M.A.: He is an Associate Professor at Junshin Women’s Juior College. He received his B.A. and M.A. degrees from Kyushu University in 1990 and 1995 respectively. His present research interests are in Japanese language in the Heian-Kamakura period and classical 31-syllable Japanese poems. He is a member of Kokugo Gakkai (Society for Study of Japanese Language) and Kuntengo Gakkai (Society for Studyy of Old Language).     

基于社会网络的语义Web服务发现模型

web服务发现模型是为了满足用户各种用途的web服务方式,以代码重入和松散耦合的方式以最优的组合实现可以提供用户需要的web服务模型。web服务发现模型是一种面向服务系统架构的一类基础性问题,但是又是解决用户不同需求十分有效的模型。通过对本体特性和发现模型的结构特点的研究,在本文中引入了本体解析的web服务标注算法和环境语义web发现模型。从而更好地实现web服务发现模型的选择用户所要求的服务的准确性,也为web服务的智能匹配做出了探索。     

Using databases in history teaching

Abstract In recent years, considerable interest has been shown in the classroom use of historical databases. Several database programs for microcomputers have become available, and as far as history teaching is concerned, they appear to have been mainly used for the analysis of mid-nineteenth century census schedules. At the same time, it is not clear that the curricular issues concerning the use of these programs has been fully explored. The purpose of this article is to raise these issues and to relate them to the use of several database programs currently used in classroom history teaching.     

基于P2P网络之上移动agent的Web服务发现机制

分析了传统服务发现机制存在的问题，针对移动嵌入式环境，提出了基于P2P之上移动agent的Web服务发现机制，讨论了其体系结构和工作模型设计的关键技术。     

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哈伯特储量发现模型是以勘探历史为背景的统计学模型，该模型不仅考虑了以往的发现率，而且考虑了当前的发现率，估算的最终或剩余储量更为准确，可靠，应用此模型对川南Ｐ１最终地质储量估算结果表明，在这个区带天然气最终可探明数百亿立方米，目前还有近七分之一的剩余地质储量尚待发现。     

漏洞自动发现与修复技术研究

网络安全漏洞风险问题越来越受到人们的重视。介绍网络安全漏洞风险的指标体系和量化评估技术;重点研究漏洞自动发现技术、漏洞自动修复技术的内容;介绍网络漏洞检测、评估及修复的研究方向。     

基于QoS的Web服务发现技术的研究

为了满足用户对带有Qos约束的Web服务请求的需求,就需要建立一种能够按QOS值进行查询服务的方法.服务的QoS描述具有正和负两个方面的属性,因此如何量化成为一个具有成为查询依据的值成为该问题的的关键.给出一种时服务QoS量化计算的方法,可以把一组具有相同功能服务的QoS的进行量化,并作为用户需求发现的依据,从而为解决基于QoS约束的Web服务发现问题提出了一种有效的方法.