Coverage optimization algorithm based on VF-CS in mobile sensor network

A random placement of large-scale sensor network in the outdoor environment often causes low coverage.An area coverage optimization algorithm of mobile sensor network (MSN) based on virtual force perturbation and Cuckoo search (VF-CS) was proposed.Firstly,the virtual force of the sensor nodes within the Thiessen polygon was analyzed based on the partitioning of Voronoi diagram of the monitoring area.Secondly,the force of polygon vertices and neighbor nodes was taken as the perturbation factor for updating the node’s location of the Cuckoo search (CS).Finally,the VF-CS guided the node to move so as to achieve the optimal coverage.The simulation results demonstrate that the proposed algorithm has higher coverage and shorter average moving distance of nodes than the Voronoi diagram based algorithms in literatures.     

榨前微波处理对油茶粕活性成分及抗氧化性的影响

通过不同微波功率和时间辐射油茶籽,测定油茶粕中茶皂素、蛋白质、粗多糖、总酚、糠氨酸含量以及DPPH自由基清除能力的变化规律,研究榨前微波处理对油茶粕活性成分及抗氧化性的影响。结果表明:随微波加热时间延长,低功率(245、420 W)微波处理油茶籽后,油茶粕中茶皂素含量稍有上升,随后下降;较高功率(560、700 W)微波处理后,茶皂素含量呈上升趋势;微波处理对油茶粕中蛋白质含量影响不大;微波处理后油茶粕中粗多糖含量整体呈下降趋势,但420、560、700 W处理20、5、10 min后含量分别比初始升高66.9%、79.6%和116.0%;微波处理后油茶粕中总酚含量呈先降低后升高再降低的趋势,且微波功率越高,总酚含量越高;微波功率较低(245 W)时,糠氨酸含量先降低后略有升高,微波功率较高(420、560、700 W)时,糠氨酸含量先升高后降低。245 W和700 W微波功率处理时油茶粕对DPPH自由基清除率先升高后降低,560 W时呈整体上升趋势,420 W呈波动状态。     

葵花籽粕综合利用研究进展

葵花籽粕是葵花籽提油后的副产品。葵花籽粕蛋白品质优,各氨基酸组成平衡,此外葵花籽粕中还含有绿原酸、黄酮等多种活性物质,营养价值高,具有广阔的应用前景。从葵花籽粕作为原料提取有效成分及作为饲料用原料两方面对葵花籽粕资源的综合利用情况进行了阐述,以期为葵花籽粕的进一步开发利用提供参考。     

基于主动学习的离群点集成挖掘方法研究

离群点检测任务通常缺少可用的标注数据，且离群数据只占整个数据集的很小一部分，相较于其他的数据挖掘任务，离群点检测的难度较大，尚没有单一的算法适合于所有的场景。因此，结合多样性模型集成和主动学习思想，提出了一种基于主动学习的离群点集成检测方法OMAL（Outlier Mining based on Active Learning）。在主动学习框架指导下，根据各种基学习器的对比分析，选择了基于统计的、基于相似性的、基于子空间划分的三个无监督模型作为基学习器。将各基学习器评判的处于离群和正常边界的数据整合后呈现给人类专家进行标注，以最大化人类专家反馈的信息量；从标注的数据集和各基学习器投票产生的数据集中抽样，基于GBM（Gradient BoostingMachine）训练一个有监督二元分类模型，并将该模型应用于全数据集，得出最终的挖掘结果。实验表明，提出方法的AUC有了较为明显的提升，且具有良好的运行效率，具备较好的实用价值。     

Migration analysis,antioxidant, and mechanical characterization of polypropylene-based active food packaging films loaded with BHA,BHT, and TBHQ

Polypropylene (PP) based active composite films were prepared by adding butylated hydroxy anisole (BHA), butylated hydroxytoluene (BHT), and tertiary butylated hydroquinone (TBHQ) antioxidants using the extrusion molding process. All concentrations of BHT, 2% to 3% BHA, and 3% TBHQ significantly increased the tensile strength (TS) of the composite films compared with control films. Increasing antioxidant concentration decreased TS values for BHT films, whereas an opposite trend was observed for BHA and TBHQ films. BHA at < 2%, BHT at > 2%, and TBHQ at all added concentrations significantly reduced elongation at break (E_b) of the composite films compared to control films. Water vapor permeability (WVP) of 1% BHT film was not significantly different from control. However, other antioxidants especially at increased concentrations significantly increased WVP values. TBHQ films with 300% to 662% increase had the highest WVP and BHT films with 5% to 81% increase had the lowest WVP among composite films. All three antioxidants had a negative effect on the transparency of the films; however the effect of BHA at higher concentrations was greater. The antioxidants did not change the color attributes of the films. Films containing all antioxidants showed 2,2-diphenyl-1-picrylhydrazyl radical-scavenging activity, which increased with increase in their concentration, especially for those containing 3 wt.% BHT and TBHQ. Overall, incorporating BHA and BHT into a PP matrix improved mechanical, barrier, antioxidant properties, and film appearance and consequently were proposed for the development of antioxidant active PP films. TBHQ film is not recommended for food packaging because of its weak mechanical properties (lower E_b and TS values, higher WVP, and greater migration).     

Relevance- and interface-driven clustering for visual information retrieval

Search results of spatio-temporal data are often displayed on a map, but when the number of matching search results is large, it can be time-consuming to individually examine all results, even when using methods such as filtered search to narrow the content focus. This suggests the need to aggregate results via a clustering method. However, standard unsupervised clustering algorithms like $K$-means (i) ignore relevance scores that can help with the extraction of highly relevant clusters, and (ii) do not necessarily optimize search results for purposes of visual presentation. In this article, we address both deficiencies by framing the clustering problem for search-driven user interfaces in a novel optimization framework that (i) aims to maximize the relevance of aggregated content according to cluster-based extensions of standard information retrieval metrics and (ii) defines clusters via constraints that naturally reflect interface-driven desiderata of spatial, temporal, and keyword coherence that do not require complex ad-hoc distance metric specifications as in $K$-means. After comparatively benchmarking algorithmic variants of our proposed approach – RadiCAL – in offline experiments, we undertake a user study with 24 subjects to evaluate whether RadiCAL improves human performance on visual search tasks in comparison to $K$-means clustering and a filtered search baseline. Our results show that (a) our binary partitioning search (BPS) variant of RadiCAL is fast, near-optimal, and extracts higher-relevance clusters than $K$-means, and (b) clusters optimized via RadiCAL result in faster search task completion with higher accuracy while requiring a minimum workload leading to high effectiveness, efficiency, and user satisfaction among alternatives.     

综采工作面活性磁化水防尘技术研究

煤矿生产是环境较为封闭的井下作业，具有一定的特殊性，作业空间湿度高、生产环境复杂，其中粉尘是危害最大的因素之一，会对机器和人体造成不同程度的损害。粉尘的危害主要由两方面决定:煤尘能够燃烧，在浓度较高时还会爆炸；粉尘会危害人的身体健康。以平煤股份十矿-320 m水平己四采区东翼下段的己_15-16-24130工作面为研究对象，研究磁化水除尘的方法及原理，通过对比分析优选出活性磁化水添加剂，在该工作面试验后具有良好的除尘效果，大大增加了可见度、降低了空气中悬浮的煤尘。研究对该矿井其他工作面除尘工作具有指导意义。     

2015—2018年上海市浦东新区食源性疾病主动监测病原学及流行病学特征分析

目的 了解上海市浦东新区特定病原体食源性疾病的流行趋势和特征,为制定食源性疾病防控策略提供参考。方法 采集2015—2018年于上海市浦东新区开展食源性疾病主动监测的数据,2家哨点医院采集以腹泻症状为主诉感染病例的粪便或肛拭子标本,进行副溶血性弧菌、沙门菌、志贺菌、致泻大肠埃希菌、空肠弯曲菌和诺如病毒检验,同时对患者进行相关信息采集、分析。结果 共监测和采集2 871例腹泻病例的粪便或肛拭子标本,病原体总体检出率为23.55%(676/2 871),其中,诺如病毒为20.04%(97/484)、致泻大肠埃希菌为11.84%(340/2 871)、空肠弯曲菌为7.21%(68/943)、副溶血性弧菌为4.01%(115/2 871)、沙门菌为3.27%(94/2 871)、志贺菌为0.28%(8/2 871)；第三季度的病原体检出率较高,呈现较明显的夏秋季高峰；可疑食物主要是混合/多种食品(41.12%,278/676),其次为水产动物及其制品(22.19%,150/676)和肉与肉制品(10.95%,74/676)。结论 诺如病毒和致泻大肠埃希菌是上海市浦东新区腹泻病例的主要病原体,应进一步完善食源性疾病主动监测,对特定病原体阳性病例开展流行病学个案调查,为开展有效防控提供技术支持。     

“电网一张图”时空信息管理系统

文章首先总结了电力企业信息管理系统的现状,提出了多源信息管理系统融合集成的邦联、子集和完全融合3种方式,分析了3种方式的优缺点,以建设企业"互联网搜索"型数字引擎为目标,提出了融合基于本体的图数据库建模,多维关联与路径因果分析,和人机共生互动可视化决策于一体的企业信息管理系统技术发展趋势;在系统分析目前正在快速发展的图数据库技术与传统关系数据库之间的本质区别基础上,总结原创的电力图计算平台技术的特点;在此基础上讨论"电网一张图"在建设能源互联网时空信息管理平台数据关联索引图中的核心作用,提出了支持能源互联网建设的"电网一张图"时空信息管理系统的技术架构与特点,最后总结"电网一张图"时空信息管理系统在提高电网安全运行水平、提升客户服务水平、增强清洁能源消纳水平、改善经营绩效水平、以及为综合能源服务和建设能源生态等提供数据服务方面的广阔应用场景。     

Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems

ABSTRACT

Feature selection is an important task to improve the classifier’s accuracy and to decrease the problem size. A number of methodologies have been presented for feature selection problems using metaheuristic algorithms. In this paper, an improved self-adaptive inertia weight particle swarm optimisation with local search and combined with C4.5 classifiers for feature selection algorithm is proposed. In this proposed algorithm, the gradient base local search with its capacity of helping to explore the feature space and an improved self-adaptive inertia weight particle swarm optimisation with its ability to converge a best global solution in the search space. Experimental results have verified that the SIW-APSO-LS performed well compared with other state of art feature selection techniques on a suit of 16 standard data sets.