DCOP FOR SMART HOMES: A CASE STUDY

The aim of this article is to bring forth the issue of integrating the services provided by intelligent artifacts in Ambient Intelligence applications. Specifically, we propose a Distributed Constraint Optimization procedure for achieving a functional integration of intelligent artifacts in a smart home. To this end, we employ Adopt-N , a state-of-the-art algorithm for solving Distributed Constraint Optimization Problems (DCOP). This article attempts to state the smart home coordination problem in general terms, and provides the details of a DCOP-based approach by describing a case study taken from the RoboCare project. More specifically, we show how (1) DCOP is a convenient metaphor for casting smart home coordination problems, and (2) the specific features which distinguish Adopt-N from other algorithms for DCOP represent a strong asset in the smart home domain.     

蓝牙智能车载卡的软件实现

介绍一个具有蓝牙通信功能的小型嵌入式系统--蓝牙智能车载卡的软件实现方案.描述了蓝牙智能车载卡在车辆信息化管理系统中的应用,介绍了蓝牙智能车载卡的系统设计方案,重点是软件设计和实现,分析了软件开发中遇到的一些问题及其解决方法,最后给出了实测结果,指出存在的不足之处和改进目标.     

Similarity retrieval of iconic image database

The perception of spatial relationships among objects in a picture is one of the important selection criteria to discriminate and retrieve the images in an iconic image database system. The data structure called 2D string, proposed by Chang et al., is adopted to represent symbolic pictures. The 2D string preserves the objects' spatial knowledge embedded in images. Since spatial relationship is a fuzzy concept, the capability of similarity retrieval for the retrieval by subpicture is essential. In this paper, similarity measure based on 2D string longest common subsequence is defined. The algorithm for similarity retrieval is also proposed. Similarity retrieval provides the iconic image database with the distinguishing function different from a conventional database.     

Data Squashing by Empirical Likelihood

Data squashing was introduced by W. DuMouchel, C. Volinsky, T. Johnson, C. Cortes, and D. Pregibon, in Proceedings of the 5th International Conference on KDD (1999). The idea is to scale data sets down to smaller representative samples instead of scaling up algorithms to very large data sets. They report success in learning model coefficients on squashed data. This paper presents a form of data squashing based on empirical likelihood. This method reweights a random sample of data to match certain expected values to the population. The computation required is a relatively easy convex optimization. There is also a theoretical basis to predict when it will and won't produce large gains. In a credit scoring example, empirical likelihood weighting also accelerates the rate at which coefficients are learned. We also investigate the extent to which these benefits translate into improved accuracy, and consider reweighting in conjunction with boosted decision trees.     

智能控制的理论和方法

本文简要地回顾了智能控制的发展过程，讨论了智能控制的几个主要理论与方法，最后对智能控制的发展提出了作者的看法。     

智能工作站主机的MMPIS实验模型研究──一个全互连式结构MMPIS硬件环境的设计与实现

本文介绍中日国际合作开发研究的Ａ１型智能网（Ａ１型ＩＮ）智能工作站（ＩＷ）主机的并行推理硬件结构的实验模型设计与实现，给出了一种并行推理硬件支持环境实现方案和该方案在实现中若干问题的解决方法。     

行波管质量与可靠性信息管理系统的设计

本文从应用角度简要介绍了《行波管质量与可靠性信息管理系统》的研制背景，数据库的数据来源，数据结构，系统构成及功能特点。     

智能网的计算机技术

文章剖析了应用于智能网的计算机技术，阐述智能网和计算机技术的关系。     

O—O数据模型中实体联系的表达方法

具有对实体和实体间联系的描述能力，是数据库的基本，吼是对数据库进逻辑设计的基本出发点。Ｏ－Ｏ数据模型不具备显式描术这实体联系的手段。且优于关系模型。     

Artificial retina chips for image processing

Artificial retina chips which can simultaneously sense and process real world images are described. The comparison between artificial retinal systems and conventional image processing systems is described. Variable sensitivity photodetection, which is an essential technology for the artificial retina chips, is introduced in detail. The concept, structure, fundamental performance, operating principle, and processing functions for the fabricated artificial retinal chips are described. Applications including interactive games by gesture-input are also introduced. This work was presented, in part, at the International Symposium on Artificial Life and Robotics, Oita, Japan, February 18–20, 1996.