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Analyzing Entrepreneurship Ecosystem in Public Sector-An Indian Contextual Study

  • Babu, Vimal
    • Asia-Pacific Journal of Business
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    • v.4 no.1
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    • pp.1-14
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    • 2013
  • In spite of the interest related to the entrepreneurship, the problems related to the creation of companies by the public civils servant still remain unanswered and not unanimously identified. In fact, a central question arises in this respect: "which are the factors which encourage the public civils servant to launch out in the creation of their own company?" or "how can one explain the entrepreneurial intention of the public civils servant?". For this end, and after having reviewed the principal subjacent factors of the entrepreneurial intention as well as the central assumptions of our research task, we will devote the second part to the empirical validation of the explanatory factors of the entrepreneurial intention in the specific case of the Indian public civils servant while proposing some recommendations on the matter.

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Consumers' Attitude on Textile Image Generated by CAD for Quick Response based Mass-Customization

  • Shin, Sang-Moo
    • Journal of Fashion Business
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    • v.6 no.3
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    • pp.52-59
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    • 2002
  • Companies desire to increase total profits. Consumer's buying behavior depends on the nature of the product just like look, touch, and feel of fabric in apparel shopping on-line with Quick Response based mass-customization. The purpose of this study is to investigate the consumer's texture sensibility from textile image under on-line environment in order to give the direction for marketing strategy in apparel ebusiness. Total 8 kinds of textile swatches representing each of 8 texture-sensibility-axes were selected for this research on the basis of finding in previous studies. The analyses of 60 questionnaires were conducted by frequency, mean, and standard deviation using SPSS 10.0. The results of this research were as follows: Under on-line environment, consumers recognized Homespun as natural, strong, and warm texture sensibility, but not as glossy, and transparent. Oxford was recognized by consumers as refreshing, and plain texture. Consumers recognized Muslin as flat and refreshing, Melton not as transparent but as warm, strong, dense, and natural, Habutae as thin, transparent, refreshing, flat, glossy, and soft, Linen as sandy, Suede not as transparent but as strong, and warm, and Terry as warm, and dense.

Reduction of Unstressed Prevocalic /u/ in English

  • Hwangbo, Young-Shik
    • Journal of English Language & Literature
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    • v.55 no.6
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    • pp.1139-1161
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    • 2009
  • This paper deals with the reduction of unstressed prevocalic /u/ and the appearance of /w/ which are observed in such words as ambiguity [ˌæm bǝ ˈgju: ǝ ti] - ambiguous [æm ˈbɪ gjǝ wǝs]. This phenomenon is recorded in Merriam-Webster Online Dictionary, Webster's Third New International Dictionary, Unabridged, and the draft revisions of Oxford English Dictionary Online. Since this phenomenon has not been studied in detail up to now, this paper aims 1) to collect the data related to the reduction of unstressed prevocalic /u/, 2) to classify them systematically, and 3) to explain the phenomenon in terms of Optimality Theory. In the course of analysis, Prevocalic Lengthening, which is crucial to the preservation of unstressed prevocalic /u/, is reinterpreted as one of the ways to prevent hiatus (annual /æ nju: ǝl/). /w/-insertion is another way to prevent hiatus (annual /æ njǝ wǝl/). In addition it is argued that prevocalic /u/ behaves differently from prevocalic /i/ due to the difference in the articulators involved.

Real - Time Applications of Video Compression in the Field of Medical Environments

  • K. Siva Kumar;P. Bindhu Madhavi;K. Janaki
    • International Journal of Computer Science & Network Security
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    • v.23 no.11
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    • pp.73-76
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    • 2023
  • We introduce DCNN and DRAE appraoches for compression of medical videos, in order to decrease file size and storage requirements, there is an increasing need for medical video compression nowadays. Using a lossy compression technique, a higher compression ratio can be attained, but information will be lost and possible diagnostic mistakes may follow. The requirement to store medical video in lossless format results from this. The aim of utilizing a lossless compression tool is to maximize compression because the traditional lossless compression technique yields a poor compression ratio. The temporal and spatial redundancy seen in video sequences can be successfully utilized by the proposed DCNN and DRAE encoding. This paper describes the lossless encoding mode and shows how a compression ratio greater than 2 (2:1) can be achieved.

New indices of structural robustness and structural fragility

  • Andre, Joao;Beale, Robert;Baptista, Antonio M.
    • Structural Engineering and Mechanics
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    • v.56 no.6
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    • pp.1063-1093
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    • 2015
  • Structural robustness has become an important design variable. However, based on the existing definitions of structural robustness it is often difficult to analyse and evaluate structural robustness, and sometimes not efficient since they mix structural robustness with several other structural variables. This paper concerns the development of a new structural robustness definition, and structural robustness and structural fragility indices. The basis for the development of the new indices is the analysis of the damage energy of structural systems for a given hazard scenario and involves a criterion to define an "unavoidable collapse" state. Illustrative examples are given detailing the steps and calculations needed to obtain values for both the structural robustness and the structural fragility indices. Finally, this paper presents the main advantages of the newly proposed definition and indices for the structural risk analysis over existing traditional methods.

Applications and Challenges of Deep Learning and Non-Deep Learning Techniques in Video Compression Approaches

  • K. Siva Kumar;P. Bindhu Madhavi;K. Janaki
    • International Journal of Computer Science & Network Security
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    • v.23 no.6
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    • pp.140-146
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    • 2023
  • A detailed survey, applications and challenges of video encoding-decoding systems is discussed in this paper. A novel architecture has also been set aside for future work in the same direction. The literature reviews span the years 1960 to the present, highlighting the benchmark methods proposed by notable academics in the field of video compression. The timeline used to illustrate the review is divided into three sections. Classical methods, conventional heuristic methods, and current deep learning algorithms are all used for video compression in these categories. The milestone contributions are discussed for each category. The methods are summarized in various tables, along with their benefits and drawbacks. The summary also includes some comments regarding specific approaches. Existing studies' shortcomings are thoroughly described, allowing potential researchers to plot a course for future research. Finally, a closing note is made, as well as future work in the same direction.

A Novel Theory of Support in Social Media Discourse

  • Solomon, Bazil Stanley
    • Asia Pacific Journal of Corpus Research
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    • v.1 no.1
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    • pp.95-125
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    • 2020
  • This paper aims to inform people how to support each other on social media. It alludes to an architecture for social media discourse and proposes a novel theory of support in social media discourse. It makes a methodological contribution. It combines predominately artificial intelligence with corpus linguistics analysis. It is on a large-scale dataset of anonymised diabetes-related user's posts from the Facebook platform. Log-likelihood and precision measures help with validation. A multi-method approach with Discourse Analysis helps in understanding any potential patterns. People living with Diabetes are found to employ sophisticated high-frequency patterns of device-enabled categories of purpose and content. It is with, for example, linguistic forms of Advice with stance-taking and targets such as Diabetes amongst other interactional ways. There can be uncertainty and variation of effect displayed when sharing information for support. The implications of the new theory aim at healthcare communicators, corpus linguists and with preliminary work for AI support-bots. These bots may be programmed to utilise the language patterns to support people who need them automatically.

Domain Wall Motions in a Near-Morphotropic PZT during a Stepwise Poling Observed by Piezoresponse Force Microscopy

  • Kim, Kwanlae
    • Korean Journal of Materials Research
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    • v.27 no.9
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    • pp.484-488
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    • 2017
  • In the present study, domain evolution processes of a near-morphotropic PZT ceramic during poling was studied using vertical piezoresponse force microscopy (PFM). To perform macroscopic poling in bulk polycrystalline PZT, poling was carried out in a stepwise fashion, and PFM scan was performed after unloading the electric field. To identify the crystallographic orientation and planes for the observed non-$180^{\circ}$ domain walls in the PFM images, compatibility theory and electron backscatter diffraction (EBSD) were used in conjunction with PFM. Accurate registration between PFM and the EBSD image quality map was carried out by mapping several grains on the sample surface. A herringbone-like domain pattern consisting of two sets of lamellae was observed; this structure evolved into a single set of lamellae during the stepwise poling process. The mechanism underlying the observed domain evolution process was interpreted as showing that the growth of lamellae is determined by the potential energy associated with polarization and an externally applied electric field.

EMPIRICAL BAYES THRESHOLDING: ADAPTING TO SPARSITY WHEN IT ADVANTAGEOUS TO DO SO

  • Silverman Bernard W.
    • Journal of the Korean Statistical Society
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    • v.36 no.1
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    • pp.1-29
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    • 2007
  • Suppose one is trying to estimate a high dimensional vector of parameters from a series of one observation per parameter. Often, it is possible to take advantage of sparsity in the parameters by thresholding the data in an appropriate way. A marginal maximum likelihood approach, within a suitable Bayesian structure, has excellent properties. For very sparse signals, the procedure chooses a large threshold and takes advantage of the sparsity, while for signals where there are many non-zero values, the method does not perform excessive smoothing. The scope of the method is reviewed and demonstrated, and various theoretical, practical and computational issues are discussed, in particularly exploring the wide potential and applicability of the general approach, and the way it can be used within more complex thresholding problems such as curve estimation using wavelets.

The Progenitors of Type Ia Supernovae

  • Podsiadlowski, Philipp
    • The Bulletin of The Korean Astronomical Society
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    • v.39 no.1
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    • pp.28-28
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    • 2014
  • Type Ia supernovae (SNe Ia) have provided the first evidence that the Universe is accelerating. Nevertheless, the nature of the progenitors has remained a mystery, indeed controversial. In this talk I will first summarize the main supernova explosion mechanisms and the observational classification of supernovae. I will show how SNe Ia can be used as standardizable distance candles and discuss possible limitations of the method. In the main part of the talk I will discuss the main progenitor models that have been proposed, emphasizing the problems and advantages of each, and how they can be observationally tested. I will then present some relatively recent discoveries by the Palomar Transient Factory and most recently in M82 that directly constrain the progenitors in a few cases.

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