Ellipsoidal neighbourhood outlier factor for distributed anomaly detection in resource constrained networks

Anomaly detection in resource constrained wireless networks is an important challenge for tasks such as intrusion detection, quality assurance and event monitoring applications. The challenge is to detect these interesting events or anomalies in a timely manner, while minimising energy consumption in the network. We propose a distributed anomaly detection architecture, which uses multiple hyperellipsoidal clusters to model the data at each sensor node, and identify global and local anomalies in the network. In particular, a novel anomaly scoring method is proposed to provide a score for each hyperellipsoidal model, based on how remote the ellipsoid is relative to their neighbours. We demonstrate using several synthetic and real datasets that our proposed scheme achieves a higher detection performance with a significant reduction in communication overhead in the network compared to centralised and existing schemes.     

An exploratory study on ontology engineering for software architecture documentation

The usefulness of Software Architecture (SA) documentation depends on how well its Architectural Knowledge (AK) can be retrieved by the stakeholders in a software project. Recent findings show that the use of ontology-based SA documentation is promising. However, different roles in software development have different needs for AK, and building an ontology to suit these needs is challenging. In this paper we describe an approach to build an ontology for SA documentation. This approach involves the use of typical questions for eliciting and constructing an ontology. We outline eight contextual factors, which influence the successful construction of an ontology, especially in complex software projects with diverse AK users. We tested our ‘typical question’ approach in a case study and report how it can be used for acquiring and modeling AK needs.     

A single amino acid change humanizes long-chain fatty acid binding and activation of mouse peroxisome proliferator-activated receptor α

Peroxisome proliferator-activated receptor α (PPARα) is an important regulator of hepatic lipid metabolism which functions through ligand binding. Despite high amino acid sequence identity (>90%), marked differences in PPARα ligand binding, activation and gene regulation have been noted across species. Similar to previous observations with synthetic agonists, we have recently reported differences in ligand affinities and extent of activation between human PPARα (hPPARα) and mouse PPARα (mPPARα) in response to long chain fatty acids (LCFA). The present study was aimed to determine if structural alterations could account for these differences. The binding of PPARα to LCFA was examined through in silico molecular modeling and docking simulations. Modeling suggested that variances at amino acid position 272 are likely to be responsible for differences in saturated LCFA binding to hPPARα and mPPARα. To confirm these results experimentally, LCFA binding, circular dichroism, and transactivation studies were performed using a F272I mutant form of mPPARα. Experimental data correlated with in silico docking simulations, further confirming the importance of amino acid 272 in LCFA binding. Although the driving force for evolution of species differences at this position are yet unidentified, this study enhances our understanding of ligand-induced regulation by PPARα and demonstrates the efficacy of molecular modeling and docking simulations.     

浅谈当前环境保护工作现状及对策

随着经济的飞速发展,我国的环境状况在不断恶化。就目前的环境现状、环境污染问题和环境保护工作现状进行了详细分析和阐述,并对环境保护工作提出参考和建议。     

核电工程项目调试工期的影响因素与优化

调试启动工作是核电工程项目进度控制中非常重要的环节,对整个工程的顺利投入运行有着重要的作用。如果调试工期过长,则会导致核电工程不能按期交付使用,从而对整个核电工程的进度造成影响。主要探讨了核电工程项目调试工期的影响因素和优化措施。     

工业喷漆的环境污染研究

化工企业对环境的影响较大,其制造的化工产品严重威胁着人们的健康。近年来,随着化工企业的规模越来越大,其带来的环境污染问题也越来越严峻。就工业喷漆对环境污染的状况和治理措施进行了分析、探究。     

基于单片机的功率因数补偿控制器硬件的研究

为了减小电网中感性负载造成的电量损耗,在分析了现有功率因数补偿控制器的补偿效果后,设计了一种通过单片机控制四组电容器组,自动控制投切进行补偿的功率因数补偿控制器。     

面向个性化云服务的动态信任模型

为更好地实践云计算为用户提供廉价按需服务的宗旨,满足服务请求者的个性化需求,提出一种面向个性化云服务的动态信任模型。基于细粒度服务思想定义个性化云服务,通过引入时间衰减因子和建立高效激励机制修正直接信任值,以灰色系统理论为基础计算实体间的评价相似度,并将评价相似度和推荐者的推荐可信度作为合成推荐信任值的重要因素,同时提出一种基于评价相似度的自信因子赋值方法,以提高合成综合信任值的准确性。实验结果表明,与GM-Trust模型及CCIDTM模型相比,该模型的交互成功率分别平均提高了4%和11%。     

Chemical Reaction Engineering and Research and development of gas solid systems

A general procedure is proposed for innovative research and development of gas-solid reactor systems, with a brief explanation of the significance of each step in the procedureBased upon the contacting mode between gas and solid phases, as well as the ways of supplying thermal energy to the reacting regions, various types of gas-solid reactor systems are classified by using tables of so called “matrix” form, for thermal cracking and gasification of heavy oils, gasification of coal, gasification of solid waste, calcination of limestone, clinkering of cement and reduction of iron ore.The importance of fundamental concepts is emphasized for successful research and development by presenting several examples; namely, calcination of limestone, thermal cracking of heavy oils and gasification of solid waste materials.In connection with the direction in which fundamental research should be oriented, four primary ways of thinking are proposed, which can be applied to obtain innovative ideas for further research and development in this field.One example of the author's practical experience was selected to show the role of the fundamental research in the course of large scale development. Finally the author outlines the role of chemical reaction engineering to innovate the novel gas-solid reactor systems which may be inevitable for simultaneous solution of the three big E's; namely, Energy, Environment and Economy.     

中国高校博物馆环境设计现状分析与研究

以中国高校博物馆为研究对象,对中国高校博物馆历史、建筑类型、建筑形态、环境现状做出分析,以探寻中国高校博物馆今后建设过程中所需要改良的设计方法。高校博物馆的环境设计要因地制宜、做到顺势而行,使建筑与校园文化融洽结合,体现高校博物馆所孕育的校园历史背景及文化内涵。