电子鼻对红枣乳酸发酵饮料的品质分析

利用电子鼻技术对5个品种的红枣乳酸发酵饮料的风味品质进行分析,结合模式识别和感官评价对红枣乳酸饮料的品质进行分析评价。结果表明,线性判别分析对不同红枣饮料香气的识别效果优于主成分分析。电子鼻传感器对香气响应值的主成分分析表明,特征香气是由苯类、氮氧化物、芳香胺类、烷烃、甲基类、硫化物、醇类、硫化氢类组成。金丝小枣、狗头枣乳酸发酵饮料具有高的综合因子得分。感官评价分析表明,所有红枣乳酸饮料的风味都优于对照(康师傅枣饮),而不同品种的红枣乳酸发酵饮料的风味又不同,以狗头枣乳酸发酵饮料风味最佳,金丝小枣乳酸发酵饮料风味最差。红枣的品种和质量对乳酸发酵饮料的香气和口味有很大影响。电子鼻可以准确区别红枣饮料的不同风味,结果与感官评价具有一致性,表明电子鼻可有效地用于乳酸发酵饮料品质评价。

A Novel Approach of Image Steganography for Secure

Steganography aims to hide the messages from unauthorized persons for various purposes,e.g.,military correspondence,financial transaction data.Securing the data during transmission is of utmost importance these days.The confidentiality,integrity,and availability of the data are at risk because of the emerging technologies and complexity in software applications,and therefore,there is a need to secure such systems and data.There are various methodologies to deal with security issues when utilizing an open system like the Internet.This research proposes a new technique in steganography within RGB shading space to achieve enhanced security compared with existing systems.We evaluate our approach with the help of diverse image quality evaluation techniques including MSE(Mean Square Error),RMSE(Root Mean Square Error),PSNR(Peak Signal-to-Noise Ratio),MAE(Mean Absolute Error),NCC(Normalized Cross-Correlation)and SSIM(Structural Similarity Index).Our experimental results demonstrate improved strength,intangibility,and security when contrasted with existing techniques and vindicate the effectiveness of this exploration work.The proposed approach achieved a 3.6701%average higher score for PSNR Correlation than the next best existing approach.Moreover,in PSNR with a variable amount of cipher embedded in the same images of the same dimensions,the proposed approach attained a 5.22%better score.Embedding the same size of cipher in images of different size resulted a 3.56%better score.

A Framework for Systematic Classification of Assets for Security Testing

Over the last decade,a significant increase has been observed in the use of web-based Information systems that process sensitive information,e.g.,personal,financial,medical.With this increased use,the security of such systems became a crucial aspect to ensure safety,integrity and authenticity of the data.To achieve the objectives of data safety,security testing is performed.However,with growth and diversity of information systems,it is challenging to apply security testing for each and every system.Therefore,it is important to classify the assets based on their required level of security using an appropriate technique.In this paper,we propose an asset security classification technique to classify the System Under Test(SUT)based on various factors such as system exposure,data criticality and security requirements.We perform an extensive evaluation of our technique on a sample of 451 information systems.Further,we use security testing on a sample extracted from the resulting prioritized systems to investigate the presence of vulnerabilities.Our technique achieved promising results of successfully assigning security levels to various assets in the tested environments and also found several vulnerabilities in them.

Design and Performance Analysis of DSS (Dual Sink Based Scheme) Protocol for WBASNs

After a large improvement in health care services, Wireless Body Area Sensor Network (WBASN) is used in different fields where health care monitoring can be done continuously and from a distance. Many selected protocols are given in literature work which can improve the performance of WBASN by focusing on delay, routing and energy efficiency. In our research, we will focus on improving throughput, network life time, and decrease end-to-delay. In given research, the two sink nodes utilized and AnyCasting concept will be used. Dual Sinks based Scheme (DSS) for WBASN will be compared with existing DARE, SIMPLE, LAEEBA and M-ATTEMPT protocols. DSS performance found more efficient than DARE, SIMPLE, LAEEBA and M-ATTEMPT respectively in throughput. From results, DSS network life time is greater than DARE, SIMPLE, LAEEBA and M-ATTEMPT with minimum delay. In DSS, energy parameter is in tradeoff with the improved parameters, because of a computation of RSSI which do more process and utilize more energy.

A Review of Wireless Body Area Networks for Medical Applications

Recent advances in Micro-Electro-Mechanical Systems (MEMS) technology, integrated circuits, and wireless communication have allowed the realization of Wireless Body Area Networks (WBANs). WBANs promise unobtrusive ambulatory health monitoring for a long period of time, and provide real-time updates of the patient’s status to the physician. They are widely used for ubiquitous healthcare, entertainment, and military applications. This paper reviews the key aspects of WBANs for numerous applications. We present a WBAN infrastructure that provides solutions to on-demand, emergency, and normal traffic. We further discuss in-body antenna design and low-power MAC protocol for a WBAN. In addition, we briefly outline some of the WBAN applications with examples. Our discussion realizes a need for new power-efficient solu-tions towards in-body and on-body sensor networks.

食醋陈化期电子鼻的监测研究

利用德国PEN3电子鼻系统快速检测四种食醋陈化期。通过电子鼻采集食醋挥发性成分的响应值,利用主成分分析(PCA)、线性判别分析(LDA)、Fisher线性判别分析(FDA)和多层感知器神经网络(MLPNN)分析进行模式识别,结果表明:LDA分析效果优于PCA分析;并且随着陈化时间的延长,食醋的气味成分变化有增快的趋势,这种气味的变化规律与酸度的变化规律相符。用Fisher线性判别和多层感知器神经网络建立食醋陈化时间的预测模型,发现Fisher线性判别对凤翔醋、陇县醋、金台醋和渭滨醋陈化期的正确检测率分别为100%、100%、98%和100%;多层感知器神经网络对凤翔醋、陇县醋、金台醋和渭滨醋陈化期的正确检测率分别为100%、100%、96.92%和100%。由于正确检测率的高低得出电子鼻结合Fisher线性判别对食醋陈化期的监测结果优于多层感知器神经网络。

Review of plasma-assisted reactions and potential applications for modification of metal-organic frameworks

Plasma catalysis is drawing increasing attention worldwide. Plasma is a partially ionized gas comprising electrons, ions, molecules, radicals, and photons. Integration of catalysis and plasma can enhance catalytic activity and stability. Some thermodynamically unfavorable reactions can easily occur with plasma assistance. Compared to traditional thermal catalysis, plasma reactors can save energy because they can be operated at much lower temperatures or even room temperature. Additionally, the low bulk temperature of cold plasma makes it a good alternative for treatment of temperature-sensitive materials. In this review, we summarize the plasmaassisted reactions involved in dry reforming of methane, CO2 methanation, the methane coupling reaction, and volatile organic compound abatement. Applications of plasma for modification of metal-organic frameworks are discussed.