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Joint salient object detection and existence prediction
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作者 Huaizu JIANG Ming-Ming CHENG +2 位作者 Shi-Jie LI Ali BORJI Jingdong WANG 《中国计算机科学前沿:英文版》 SCIE EI CSCD 2019年第4期778-788,共11页
Recent advances in supervised salient object detection modeling has resulted in significant performance improvements on benchmark datasets. However, most of the existing salient object detection models assume that at ... Recent advances in supervised salient object detection modeling has resulted in significant performance improvements on benchmark datasets. However, most of the existing salient object detection models assume that at least one salient object exists in the input image. Such an assumption often leads to less appealing saliency maps on the background images with no salient object at all. Therefore, handling those cases can reduce the false positive rate of a model. In this paper, we propose a supervised learning approach for jointly addressing the salient object detection and existence prediction problems. Given a set of background-only images and images with salient objects, as well as their salient object annotations, we adopt the structural SVM framework and formulate the two problems jointly in a single integrated objective function: saliency labels of superpixels are involved in a classification term conditioned on the salient object existence variable, which in turn depends on both global image and regional saliency features and saliency labels assignments. The loss function also considers both image-level and regionlevel mis-classifications. Extensive evaluation on benchmark datasets validate the effectiveness of our proposed joint approach compared to the baseline and state-of-the-art models. 展开更多
关键词 salient object DETECTION EXISTENCE PREDICTION JOINT INFERENCE SALIENCY DETECTION
Smart Photogrammetric and Remote Sensing Image Processing for Very High Resolution Optical Images——Examples from the CRC-AGIP Lab at UNB 预览
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作者 Yun ZHANG 《测绘学报(英文版)》 2019年第2期17-26,共10页
This paper introduces some of the image processing techniques developed in the Canada Research Chair in Advanced Geomatics Image Processing Laboratory (CRC-AGIP Lab) and in the Department of Geodesy and Geomatics Engi... This paper introduces some of the image processing techniques developed in the Canada Research Chair in Advanced Geomatics Image Processing Laboratory (CRC-AGIP Lab) and in the Department of Geodesy and Geomatics Engineering (GGE) at the University of New Brunswick (UNB), Canada. The techniques were developed by innovatively/“smartly” utilizing the characteristics of the available very high resolution optical remote sensing images to solve important problems or create new applications in photogrammetry and remote sensing. The techniques to be introduced are: automated image fusion (UNB-PanSharp), satellite image online mapping, street view technology, moving vehicle detection using single set satellite imagery, supervised image segmentation, image matching in smooth areas, and change detection using images from different viewing angles. Because of their broad application potential, some of the techniques have made a global impact, and some have demonstrated the potential for a global impact. 展开更多
关键词 remote sensing optical IMAGE very high resolution pan-sharpening online mapping STREET view moving information DETECTION IMAGE SEGMENTATION IMAGE MATCHING change DETECTION
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Method for pests detecting in stored grain based on spectral residual saliency edge detection 预览
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作者 Yao Qin Yanli Wu +1 位作者 Qifu Wang Suping Yu 《粮油科技:英文版》 2019年第2期33-38,共6页
Pests detecting is an important research subject in grain storage field.In the past decades,many edge detection methods have been applied to the edge detection of stored grain pests.Although some of them can realize t... Pests detecting is an important research subject in grain storage field.In the past decades,many edge detection methods have been applied to the edge detection of stored grain pests.Although some of them can realize the stored grain pests detecting,precision and robustness are not good enough.Spectral residual(SR)saliency edge detection defines the logarithmic spectrumof image as novelty part of the image information.The remaining spectrumis converted to the airspace to obtain edge detection results.SR algorithm is completely based on frequency domain processing.It not only can effectively simplify the target detection algorithm,but also can improve the effectiveness of target recognition.The experimental results show that the edge results of stored grain pests detected by SR method are effective and stable. 展开更多
关键词 Stored grain pests Saliency detection Spectral residual (SR) Edge detection
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Aircraft engine fault detection based on grouped convolutional denoising autoencoders
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作者 Xuyun FU Hui LUO +1 位作者 Shisheng ZHONG Lin LIN 《中国航空学报:英文版》 SCIE EI CAS CSCD 2019年第2期296-307,共12页
Many existing aircraft engine fault detection methods are highly dependent on performance deviation data that are provided by the original equipment manufacturer. To improve the independent engine fault detection abil... Many existing aircraft engine fault detection methods are highly dependent on performance deviation data that are provided by the original equipment manufacturer. To improve the independent engine fault detection ability, Aircraft Communications Addressing and Reporting System(ACARS) data can be used. However, owing to the characteristics of high dimension, complex correlations between parameters, and large noise content, it is difficult for existing methods to detect faults effectively by using ACARS data. To solve this problem, a novel engine fault detection method based on original ACARS data is proposed. First, inspired by computer vision methods, all variables were divided into separated groups according to their correlations. Then, an improved convolutional denoising autoencoder was used to extract the features of each group. Finally, all of the extracted features were fused to form feature vectors. Thereby, fault samples could be identified based on these feature vectors. Experiments were conducted to validate the effectiveness and efficiency of our method and other competing methods by considering real ACARS data as the data source. The results reveal the good performance of our method with regard to comprehensive fault detection and robustness. Additionally, the computational and time costs of our method are shown to be relatively low. 展开更多
关键词 Aircraft engines ANOMALY DETECTION Convolutional NEURAL Network(CNN) DENOISING autoencoder Engine health management FAULT DETECTION
Hydrogen sulphide detection using near-infrared diode laser and compact dense-pattern multipass cell
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作者 田兴 曹渊 +3 位作者 陈家金 刘锟 王贵师 高晓明 《中国物理B:英文版》 SCIE EI CAS CSCD 2019年第6期164-168,共5页
Sub-ppmv level detection of hydrogen sulphide(H2 S) using a 1.578-μm distributed feedback tunable diode laser combining with wavelength modulation spectroscopy and second harmonic detection scheme is reported. A home... Sub-ppmv level detection of hydrogen sulphide(H2 S) using a 1.578-μm distributed feedback tunable diode laser combining with wavelength modulation spectroscopy and second harmonic detection scheme is reported. A home-developed novel compact dense-pattern multipass gas cell with an effective optical path length of 29.37 m is used to improve sensitivity and reduce sample volume. Detection parameters are optimized, including modulation frequency and amplitude. The analysis of Allan variance shows that a minimum detectable concentration 60 ppbv is obtained with a lock-in time constant of 10 ms, and a detection limit of 13 ppbv can be achieved by average in 300 s. The demonstrated H2 S sensor has a strong penitential application in natural gas process for regulating and controlling H2 S concentration. 展开更多
关键词 hydrogen SULPHIDE WAVELENGTH modulation spectroscopy second harmonic DETECTION DETECTION limit
Unsupervised Electric Motor Fault Detection by Using Deep Autoencoders 预览
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作者 Emanuele Principi Damiano Rossetti +1 位作者 Stefano Squartini Francesco Piazza 《自动化学报:英文版》 CSCD 2019年第2期441-451,共11页
Fault diagnosis of electric motors is a fundamental task for production line testing, and it is usually performed by experienced human operators. In the recent years, several methods have been proposed in the literatu... Fault diagnosis of electric motors is a fundamental task for production line testing, and it is usually performed by experienced human operators. In the recent years, several methods have been proposed in the literature for detecting faults automatically. Deep neural networks have been successfully employed for this task, but, up to the authors’ knowledge, they have never been used in an unsupervised scenario. This paper proposes an unsupervised method for diagnosing faults of electric motors by using a novelty detection approach based on deep autoencoders. In the proposed method, vibration signals are acquired by using accelerometers and processed to extract LogMel coefficients as features. Autoencoders are trained by using normal data only, i.e., data that do not contain faults. Three different autoencoders architectures have been evaluated: the multilayer perceptron(MLP) autoencoder, the convolutional neural network autoencoder, and the recurrent autoencoder composed of long short-term memory(LSTM) units. The experiments have been conducted by using a dataset created by the authors, and the proposed approaches have been compared to the one-class support vector machine(OC-SVM) algorithm. The performance has been evaluated in terms area under curve(AUC) of the receiver operating characteristic curve, and the results showed that all the autoencoder-based approaches outperform the OCSVM algorithm. Moreover, the MLP autoencoder is the most performing architecture, achieving an AUC equal to 99.11 %. 展开更多
关键词 Autoencoder convolutional NEURAL NETWORKS electric motor fault DETECTION long short-term memory NEURAL NETWORKS NOVELTY DETECTION
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动物源细胞外基质中糖胺聚糖物质的检测方法 预览
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作者 张伟 陈俊霖 胡康 《中国组织工程研究》 CAS 北大核心 2019年第30期4861-4867,共7页
背景:作为每个组织和器官中的细胞分泌产物,细胞外基质凭借其独一无二的生物学特性成为了临床应用中一种独特的再生型生物材料。糖胺聚糖作为细胞外基质中的重要活性物质之一,具有诸多优良的生物学特性。目的:整理总结近年来国内外对细... 背景:作为每个组织和器官中的细胞分泌产物,细胞外基质凭借其独一无二的生物学特性成为了临床应用中一种独特的再生型生物材料。糖胺聚糖作为细胞外基质中的重要活性物质之一,具有诸多优良的生物学特性。目的:整理总结近年来国内外对细胞外基质中糖胺聚糖检测方法的研究进展,并对各方法进行了对比,为优化细胞外基质糖胺聚糖检测方法提供帮助和方法参考。方法:通过输入关键词“糖胺聚糖检测、细胞外基质、determination methods of glycosaminoglycan、Animal-derived extracellular matrix”,从PubMed、知网等文献搜索引擎共搜索出2 037篇相关文献,筛选并整理63篇文献,总结出常见的糖胺聚糖检测方法。根据阅读文献时总结的思路,提出基于现有提取检测糖胺聚糖方法的改进方案,并设计对比实验验证。结果与结论:糖胺聚糖对动物源细胞外基质生物学性能起着至关重要的作用,可赋予细胞外基质材料及产品优异的生物活性与促修复功能。检测材料中糖胺聚糖含量可指导细胞外基质材料的工艺优化,因此糖胺聚糖检测方法至关重要。目前糖胺聚糖的检测方法主要有高效液相色谱法、糖醛酸分析法、乙醣胺定量分析法与二甲基亚甲基蓝检测法,以上方法均存在一定的局限性。基于已有的研究成果,针对二甲基亚甲基蓝检测法中的样本消化、糖胺聚糖提取等步骤做了改进,大幅度提升了检测结果的准确度,为其他糖胺聚糖检测方法提供了思路和参考。 展开更多
关键词 细胞外基质 糖胺聚糖 临床应用 检测方法 生物学特性 制作工艺 二甲基亚甲基蓝检测 高效液相色谱法
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Research on Low Energy Consumption Distributed Fault Detection Mechanism in Wireless Sensor Network 预览
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作者 Shuang Jia Lin Ma Danyang Qin 《中国通信:英文版》 SCIE CSCD 2019年第3期179-189,共11页
Wireless sensor network is an important technical support for ubiquitous communication.For the serious impacts of network failure caused by the unbalanced energy consumption of sensor nodes,hardware failure and attack... Wireless sensor network is an important technical support for ubiquitous communication.For the serious impacts of network failure caused by the unbalanced energy consumption of sensor nodes,hardware failure and attacker intrusion on data transmission,a low energy consumption distributed fault detection mechanism in wireless sensor network(LEFD)is proposed in this paper.Firstly,the time correlation information of nodes is used to detect fault nodes in LEFD,and then the spatial correlation information is adopted to detect the remaining fault nodes,so as to check the states of nodes comprehensively and improve the efficiency of data transmission.In addition,the nodes do not need to exchange information with their neighbor nodes in the initial detection process since LEFD adopts the data sensed by node itself to detect some types of faults,thus reducing the energy consumption of nodes effectively.Finally,LEFD also considers the nodes that may have transient faults.Performance analysis and simulation results show that the proposed detection mechanism can improve the transmission performance and reduce the energy consumption of network effectively. 展开更多
关键词 wireless sensor network low energy CONSUMPTION FAULT DETECTION DETECTION ACCURACY
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Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico
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作者 Pedro PONCE Therese PEFFER Arturo MOLINA 《能源前沿:英文版》 CSCD 2019年第3期522-538,共17页
It is well known that smart thermostats (STs) have become key devices in the implementation of smart homes;thus, they are considered as primary elements for the control of electrical energy consumption in households. ... It is well known that smart thermostats (STs) have become key devices in the implementation of smart homes;thus, they are considered as primary elements for the control of electrical energy consumption in households. Moreover, energy consumption is drastically affected when the end users select unsuitable STs or when they do not use the STs correctly. Furthermore, in future, Mexico will face serious electrical energy challenges that can be considerably resolved if the end users operate the STs in a correct manner. Hence, it is important to carry out an in-depth study and analysis on thermostats, by focusing on social aspects that influence the technological use and performance of the thermostats. This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square (CS) test in order to understand the perceptions and beliefs of end users about the use of STs in Mexico. This paper extensively shows the perceptions and beliefs about the selected thermostats in Mexico. Besides, it presents an in-depth discussion on the cognitive perceptions and beliefs of end users. Moreover, it shows why the expectations of the end users about STs are not met. It also promotes the technological and social development of STs such that they are relatively more accepted in complex electrical grids such as smart grids. 展开更多
关键词 THERMOSTATS PERCEPTIONS BELIEFS SIGNAL DETECTION THEORY (SDT) fuzzy SIGNAL DETECTION THEORY (FSDT) chi-square (CS) test
Advanced topics on RF amplitude and phase detection for lowlevel RF systems 预览
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作者 Zhe-Qiao Geng Roger Kalt 《核技术:英文版》 SCIE CAS CSCD 2019年第10期9-20,共12页
Low-level radio frequency(LLRF)systems stabilize the electromagnetic field in the RF cavities used for beam acceleration in particle accelerators.Reliable,accurate,and precise detection of RF amplitude and phase is pa... Low-level radio frequency(LLRF)systems stabilize the electromagnetic field in the RF cavities used for beam acceleration in particle accelerators.Reliable,accurate,and precise detection of RF amplitude and phase is particularly important to achieve high field stability for pulsed accelerators of free-electron lasers(FEL).The digital LLRF systems employ analog-to-digital converters to sample the frequency down-converted RF signal and use digital demodulation algorithms to calculate the RF amplitude and phase.Different sampling strategies and demodulation algorithms have been developed for these purposes and are introduced in this paper.This article focuses on advanced topics concerning RF detection,including accurate RF transient measurement,wideband RF detection,and RF detection with an asynchronous trigger,local oscillator,or clock.The analysis is based on the SwissFEL measurements,but the algorithms introduced are general for RF signal detection in particle accelerators. 展开更多
关键词 Low-level radio frequency RF detector RF transient detection Asynchronous RF detection
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Effect of Endocuff use on colonoscopy outcomes:A systematic review and meta-analysis 预览
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作者 Konstantinos Triantafyllou Paraskevas Gkolfakis +3 位作者 Georgios Tziatzios Ioannis S Papanikolaou Lorenzo Fuccio Cesare Hassan 《世界胃肠病学杂志:英文版》 SCIE CAS 2019年第9期1158-1170,共13页
BACKGROUND Endocuff-a plastic device with flexible projections-mounted on the distal tip of the colonoscope,promises improved colonic mucosa inspection.AIM To elucidate the effect of Endocuff on adenoma detection rate... BACKGROUND Endocuff-a plastic device with flexible projections-mounted on the distal tip of the colonoscope,promises improved colonic mucosa inspection.AIM To elucidate the effect of Endocuff on adenoma detection rate(ADR),advanced ADR(AADR)and mean number of adenomas per colonoscopy(MAC).METHODS Literature searches identified randomized-controlled trials evaluating Endocuffassisted colonoscopy(EAC)vs conventional colonoscopy(CC)in terms of ADR,AADR and MAC.The effect size on study outcomes was calculated using fixed or random effect model,as appropriate,and it is shown as relative risk(RR)[95%confidence interval(CI)]and mean difference(MD)(95%CI).The rate of device removal in EAC arms was also calculated.RESULTS We identified nine studies enrolling 6038 patients.All studies included mixed population(screening,surveillance and diagnostic examinations).Seven and two studies evaluated the first and the second-generation device,respectively.EAC was associated with increased ADR compared to CC[RR(95%CI):1.18(1.05-1.32);Ι^2=71%];EAC benefits more endoscopists with ADR≤35%compared to those with ADR>35%[RR(95%CI):1.37(1.08-1.74);Ι^2=49%vs 1.10(0.99-1.24);Ι^2=71%].In terms of AADR and MAC,no difference was detected between EAC and CC[RR(95%CI):1.03(0.85-1.25);Ι^2=15%and MD(95%CI):0.30(-0.17-0.78);Ι^2=99%].Subgroup analysis did not show any difference between the two device generations regarding all three endpoints.In EAC arms,the device had to be removed in 3%(95%CI:2%-5%)of the cases mainly due to tortuous sigmoid or presence of diverticula along it.CONCLUSION EAC increases ADR compared to CC,especially for endoscopists with lower ADR.On the other hand,no significant effect on AADR and MAC was detected. 展开更多
关键词 ADENOMA DETECTION rate COLONOSCOPY ADENOMA DETECTION Endocuff Endocuff-Vision
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Fluorescent probe gold nanodots to quick detect Cr(VI) via oxidoreduction quenching process
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作者 Yueqi Zhao Yuanqing Sun +7 位作者 Yingnan Jiang Shanliang Song Tianxin Zhao Yue Zhao Xinyu Wang Baoquan Li Bai Yang Quan Lin 《中国科学:化学英文版》 SCIE EI CAS CSCD 2019年第1期133-141,共9页
A method is described here for the quickly(<30 s) accurate determination of Cr(Ⅵ)(Cr2O72-), based on fluorescent probes gold nanodots(AuNDs, excitation/emission peaks at 395/604 nm) coated with glutathione(GSH). T... A method is described here for the quickly(<30 s) accurate determination of Cr(Ⅵ)(Cr2O72-), based on fluorescent probes gold nanodots(AuNDs, excitation/emission peaks at 395/604 nm) coated with glutathione(GSH). The fluorescence of the AuNDs responses linearly to Cr(Ⅵ) concentrations, ranging widely from 1 nM to 10 m M with detection limit as low as 0.35 nM. At the same time, the AuNDs is demonstrated highly selective for Cr(Ⅵ) detection over other acid group ions and metal ions without any masking reagent. These make probability for practical use. The quenching mechanism is investigated deeply via fluorescent lifetime, XPS and TEM analysis. Different from most reported quenching explanation of aggregation derived from charge attraction, these results verify the redox reaction between Cr2O72-and sulfhydryl(–S) of GSH. The Au(Ⅰ)–S bonds of AuNDs broke, accompanies with the oxidation of –S to form S–S bonds. As a result, AuNDs cross linked to each other. In the end, the fluorescence quenched. Attractively, the present study provides a new strategy for pollutant detection, such as from harmful Cr(Ⅵ) of Cr2O72-to nontoxic Cr(Ⅲ). 展开更多
关键词 fluorescent probe of Cr (Ⅵ) Au NANODOTS quick and quantitative DETECTION fluorescence QUENCHING mechanism POLLUTANT DETECTION
Automatic Detection of Lung Nodules Using 3D Deep Convolutional Neural Networks
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作者 傅玲 马璟琛 +2 位作者 陈奕志 LARSSON Rasmus 赵俊 《上海交通大学学报:英文版》 EI 2019年第4期517-523,共7页
Lung cancer is the leading cause of cancer deaths worldwide. Accurate early diagnosis is critical in increasing the 5-year survival rate of lung cancer, so the efficient and accurate detection of lung nodules,the pote... Lung cancer is the leading cause of cancer deaths worldwide. Accurate early diagnosis is critical in increasing the 5-year survival rate of lung cancer, so the efficient and accurate detection of lung nodules,the potential precursors to lung cancer, is paramount. In this paper, a computer-aided lung nodule detection system using 3D deep convolutional neural networks(CNNs) is developed. The first multi-scale 11-layer 3D fully convolutional neural network(FCN) is used for screening all lung nodule candidates. Considering relative small sizes of lung nodules and limited memory, the input of the FCN consists of 3D image patches rather than of whole images. The candidates are further classified in the second CNN to get the final result. The proposed method achieves high performance in the LUNA16 challenge and demonstrates the effectiveness of using 3D deep CNNs for lung nodule detection. 展开更多
关键词 LUNG NODULE DETECTION COMPUTER-AIDED DETECTION (CAD) convolutional NEURAL NETWORK (CNN) fully convolutional NEURAL NETWORK (FCN)
Lattice reduction aided belief propagation for massive MIMO detection
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作者 Senjie ZHANG Zhiqiang HE +2 位作者 Kai NIU Shi JIN Hong CHENG 《中国科学:信息科学(英文版)》 SCIE EI CSCD 2019年第4期123-135,共13页
Efficient massive MIMO detection for practical deployment, which is with spatially correlated channel and high-order modulation, is a challenging topic for the fifth generation mobile communication(5G). In this paper,... Efficient massive MIMO detection for practical deployment, which is with spatially correlated channel and high-order modulation, is a challenging topic for the fifth generation mobile communication(5G). In this paper, lattice reduction aided belief propagation(LRA-BP) is proposed for massive MIMO detection. LRA-BP applies the message updating rules of Markov random field based belief propagation(MRF-BP) in lattice reduced MIMO system. With the lattice reduced, well-conditioned MIMO channel,LRA-BP obtains better message updating and detection performance in spatially correlated channel than MRF-BP. Log-domain arithmetic is used in LRA-BP for computational complexity reduction. Simulation result shows that LRA-BP outperforms MRF-BP with 3–10 dB in terms of required SNR for 1% packet error rate in spatially correlated channel for 256-QAM. We also show that LRA-BP requires much lower complexity compared with MRF-BP. 展开更多
关键词 MASSIVE MIMO MIMO DETECTION BELIEF propagation graph-based DETECTION LATTICE reduction MARKOV random field
血清铁蛋白肿瘤标志物检测肺癌的临床意义分析 预览
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作者 冯佳 郭清芳 《中国继续医学教育》 2019年第26期58-60,共3页
目的分析血清铁蛋白肿瘤标志物检测肺癌的临床意义。方法研究时段:2016 年12 月—2018 年10 月,取本院在以上时段内收治的肺部疾病患者90 例与此时段来本院进行体检的健康者45 例开展本次研究。将前者定为观察1 组(肺癌患者42 例)、观... 目的分析血清铁蛋白肿瘤标志物检测肺癌的临床意义。方法研究时段:2016 年12 月—2018 年10 月,取本院在以上时段内收治的肺部疾病患者90 例与此时段来本院进行体检的健康者45 例开展本次研究。将前者定为观察1 组(肺癌患者42 例)、观察2 组(肺部良性疾病变48 例),后者定为对照组。所有研究对象均行血清铁蛋白水平检测,分析血清铁蛋白在肺癌检测中的应用价值。结果观察1 组、观察2 组SF 水平明显高于对照组,且观察1 组以上指标明显高于观察2组(P < 0.05)。血清铁蛋白肿瘤标志物单独阳性检出率较高。且观察组1 组患者中,肺癌Ⅰ期患者有8 例,其中血清铁蛋白升高有5 例,正常3 例;肺癌Ⅱ期患者有20 例,其中血清铁蛋白升高有17 例,正常3 例;肺癌Ⅲ患者有14 例,血清铁蛋白升高14 例,由此可知,随着病情的进展,血清铁蛋白水平越高。结论在肺癌诊断中,血清铁蛋白肿瘤标志物在肺癌检测中效果显著。 展开更多
关键词 血清铁蛋白 肿瘤标志物 检测 肺癌 肺部疾病 阳性检出率
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3种虾肝肠胞虫PCR检测方法的应用比较分析 预览
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作者 叶键 许婷 +5 位作者 施礼科 陈凡 王力 陈喆 章秋虎 郭水荣 《水产科学》 CAS CSCD 北大核心 2019年第3期411-415,共5页
虾肝肠胞虫被认为是凡纳滨对虾“长不大”现象的主要病原之一,国内外学者已建立其PCR检测技术,包括18S-PCR、SSU-PCR及SWP-PCR。采集36个凡纳滨对虾苗种样本、5个卤虫样本和12个水样,应用上述3种PCR方法进行检测,并对阳性产物进行克隆... 虾肝肠胞虫被认为是凡纳滨对虾“长不大”现象的主要病原之一,国内外学者已建立其PCR检测技术,包括18S-PCR、SSU-PCR及SWP-PCR。采集36个凡纳滨对虾苗种样本、5个卤虫样本和12个水样,应用上述3种PCR方法进行检测,并对阳性产物进行克隆测序和序列同源性分析,以比较检测灵敏度和准确性。试验结果显示,18S-PCR在第一步扩增的灵敏度最好,SSU-PCR在第二步扩增的灵敏度显著高于SWP-PCR,但存在着一定的假阳性现象。建议在对凡纳滨对虾苗种进行虾肝肠胞虫的检测时,宜采用灵敏度更高的套式SSU-PCR方法。 展开更多
关键词 虾肝肠胞虫 检测 18S-PCR SSU-PCR SWP-PCR
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中国传统食醋微生物污染及控制措施研究进展 预览
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作者 王兴洁 刘爱平 +3 位作者 敖晓琳 吴远明 陈蓉 刘书亮 《食品与发酵工业》 CAS CSCD 北大核心 2019年第10期260-265,共6页
食醋微生物污染是导致食醋腐败变质的最主要原因,有效地检测和控制污染微生物是保证食醋安全以及进一步发展的基础。该文对食醋污染微生物的原因、危害以及种类进行了综述,开放式发酵环境及容器管道的不洁是食醋污染微生物的主要原因,... 食醋微生物污染是导致食醋腐败变质的最主要原因,有效地检测和控制污染微生物是保证食醋安全以及进一步发展的基础。该文对食醋污染微生物的原因、危害以及种类进行了综述,开放式发酵环境及容器管道的不洁是食醋污染微生物的主要原因,致使胀气、产膜、发黏及浑浊等现象发生,最终造成企业经济损失并对消费者健康造成隐患。总结了目前的检测方法和控制措施,现有的传统微生物培养检测方法弊端很多,非培养技术更能满足快速准确的检测要求。除加热和添加防腐剂等常用控制措施外,紫外线消毒、膜过滤等技术也逐渐应用。针对现有研究的不足,展望了食醋污染微生物未来的研究方向,以期为食醋污染微生物的深入研究及有效控制提供参考和理论依据。 展开更多
关键词 食醋加工 污染微生物 检测 控制
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Data-Driven Anomaly Diagnosis for Machining Processes 预览
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作者 Y.C.Liang S.Wang +1 位作者 W.D.Li X.Lu 《工程(英文)》 2019年第4期646-652,共7页
To achieve zero-defect production during computer numerical control(CNC)machining processes,it is imperative to develop effective diagnosis systems to detect anomalies efficiently.However,due to the dynamic conditions... To achieve zero-defect production during computer numerical control(CNC)machining processes,it is imperative to develop effective diagnosis systems to detect anomalies efficiently.However,due to the dynamic conditions of the machine and tooling during machining processes,the relevant diagnosis systems currently adopted in industries are incompetent.To address this issue,this paper presents a novel data-driven diagnosis system for anomalies.In this system,power data for condition monitoring are continuously collected during dynamic machining processes to support online diagnosis analysis.To facilitate the analysis,preprocessing mechanisms have been designed to de-noise,normalize,and align the monitored data.Important features are extracted from the monitored data and thresholds are defined to identify anomalies.Considering the dynamic conditions of the machine and tooling during machining processes,the thresholds used to identify anomalies can vary.Based on historical data,the values of thresholds are optimized using a fruit fly optimization(FFO)algorithm to achieve more accurate detection.Practical case studies were used to validate the system,thereby demonstrating the potential and effectiveness of the system for industrial applications. 展开更多
关键词 Computer numerical control machining Anomaly detection Fruit fly optimization algorithm Data-driven method
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空气负离子产生方法及其检测技术的研究进展
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作者 邢高娃 李宇 林金明 《分析试验室》 CAS CSCD 北大核心 2019年第1期112-118,共7页
空气负离子具有较高的反应活性,在环保、医疗等领域广泛应用。本文介绍空气负离子的产生方法,以及利用空气离子计数仪、离子迁移谱、质谱等几种检测空气负离子技术的研究进展,并展望了质谱检测方法的发展方向,以期为相关研究提供一定的... 空气负离子具有较高的反应活性,在环保、医疗等领域广泛应用。本文介绍空气负离子的产生方法,以及利用空气离子计数仪、离子迁移谱、质谱等几种检测空气负离子技术的研究进展,并展望了质谱检测方法的发展方向,以期为相关研究提供一定的参考。 展开更多
关键词 空气负离子 检测技术
免疫技术在动物源性食品快速检测中的研究进展 预览
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作者 职爱民 余曼 +1 位作者 乔苗苗 柴兴宽 《肉类研究》 北大核心 2019年第5期60-66,共7页
本文回顾了近年来免疫技术在动物源性食品快速检测中的应用研究,主要涵盖酶联免疫吸附测定法、胶体金免疫层析法、电化学免疫分析法、放射免疫法、荧光免疫分析法和免疫磁分离技术6种免疫技术对动物源性食品中抗生素、致病菌、激素、毒... 本文回顾了近年来免疫技术在动物源性食品快速检测中的应用研究,主要涵盖酶联免疫吸附测定法、胶体金免疫层析法、电化学免疫分析法、放射免疫法、荧光免疫分析法和免疫磁分离技术6种免疫技术对动物源性食品中抗生素、致病菌、激素、毒素、重金属、中枢神经系统组织和肉掺假检测的研究进展,以期为此领域的研究提供参考。 展开更多
关键词 免疫技术 动物源性食品 检测
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