318 research outputs found

    Novel methods to quantify aleatory and epistemic uncertainty in high speed networks

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    2017 Summer.Includes bibliographical references.With the sustained miniaturization of integrated circuits to sub-45 nm regime and the increasing packaging density, random process variations have been found to result in unpredictability in circuit performance. In existing literature, this unpredictability has been modeled by creating polynomial expansions of random variables. But the existing methods prove inefficient because as the number of random variables within a system increase, the time and computational cost increases in a near-polynomial fashion. In order to mitigate this poor scalability of conventional approaches, several techniques are presented, in this dissertation, to sparsify the polynomial expansion. The sparser polynomial expansion is created, by identifying the contribution of each random variable on the total response of the system. This sparsification is performed primarily using two different methods. It translates to immense savings, in the time required, and the memory cost of computing the expansion. One of the two methods presented is applied to aleatory variability problems while the second method is applied to problems involving epistemic uncertainty. The accuracy of the proposed approaches is validated through multiple numerical examples

    Consumer purchase behaviour for green products

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    Purpose: The concern for climate change and global warming is increasing at global level which results in stimulating the interest of firms toward environmental protection and sustainable development. Many firms have started developing green products to meet the demand of environmentally conscious consumers. These firms are now interested in finding the determinants of environmentally conscious consumers’ behaviour in order to develop effective marketing strategy to ensure the green purchase commitments. Methodology: Demographic factors, psychographic factors, environmental awareness, environmental concern, price & quality of the green products, Perceived Consumer Effectiveness (PCE), environmental attitude, information, promotional activity, and availability, are major factors in motivating one’s behavioural change to engage in environmental behaviour. These factors have been tested in the past, but they have never been tested together in the context of green purchase behaviour of consumers in Central India. Therefore, this paper reviews the conceptual and empirical literatures of the abovementioned variables in explaining the green purchase behaviour. To indentify the factors which influence the consumer purchase behaviour for green products, factor analysis has been used. Data Collection: And convenient sampling method was used to collect the data from the five major cities of Madhya Pradesh. Over 650 questionnaires were circulated out of which a total of 390 questionnaires were considered for the final research purpose with 5 % error of margin and 5 % level of significance. Finding: The research has came out with seven major factors, (1. Awareness & Concern, 2. Price & Quality, 3. PCE, 4. Information, 5. Attitude, 6. Promotional activity, and 7. Information), which influence the green purchase behaviour in central India.peer-reviewe

    Effect of 3.0 wt% Indium doping on ethanol sensing properties of nanocrystalline Bi2O3

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    Nanocrystalline powders of pure and 3.0 wt% indium doped Bismuth oxide (Bi2O3) were prepared by ethyl alcohol mediated decomposition route. The prepared samples were then characterized in order to investigate the structural, electrical and reducing gas sensing properties of pure and In doped Bismuth oxide. X-ray diffraction (XRD) was used to confirm the material structure and transmission electron microscopy (TEM) to depict the crystallite microstructure. Bismuth oxide based thick films were expose to study the conductance response of different reducing gases such as like liquefied petroleum  (LPG), ammonia (NH3), hydrogen sulfide (H2S), and ethanol gas (C2H5OH) etc. The sensor exhibited various sensing responses to these gases at different operating temperatures. From result it is found that 3.0 wt% In-doped Bi2O3 shows the maximum response to 50 ppm ethanol at 260 0C also fast response and good recovery are the main features of investigated sensors

    Survey on Reversible Data Hiding in Encrypted Images Using POB Histogram Method

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    This paper describes a survey on reversible data hiding in encrypted images. Data hiding is a process to embed useful data into cover media. Data invisibility is its major requirement. Data hiding can be done in audio, video, image, text, and picture. Here use an image for data hiding especially digital images and existing method (Histogram Block Shift Base Method) HBSBM or POB. Now a day's reversible data hiding in encrypted images is in use due to its excellent property which is original cover image can be recovered with no loss after extraction of the embedded data. Also, it protects the original data. According to the level and kind of application one or more data hiding methods is used. Data hiding can be done in audio, video, text, and image and other forms of information. Some data hiding techniques emphasize on digital image security, some on the robustness of digital image hiding process while other's main focus is on imperceptibility of a digital image. The capacity of digital information which has to hide is also the main concern in some of the applications. The objective of some of the papers mentioned below is to achieve two or more than two parameters i.e. Security, robustness, imperceptibility and capacity but some of the parameters are trade-off which means only one can be achieved on the cost of other. So the data hiding techniques aiming to achieve maximum requirements i.e. security, robustness, capacity, imperceptibility etc. and which can be utilized in the larger domain of applications is desired. Related work for techniques used for data hiding in a digital image is described in this paper
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