Study on the Socio-Psychological Background of Entrepreneur - Managers of Small Scale Industrial Units in Ernakulam District, Kerala

The understanding of the theory of entrepreneurship depends upon one set of definitions which provide the base for analytical study. The main objective of the study was to understand the distribution of entrepreneurship in the manufacturing sector among different categories of people in kerala and to differentiate the socio - psychological background of successful entrepreneur- managers from unsuccessful entrepreneur-managers. The purpose of the study, a sample of 150 entrepreneur-managers of SS1 units spread over Ernakulam district was surveyed through a specially designed questionnaire.

Marketing Management in Small Scale Industrial Units of Women Entrepreneurs in Kerala - A Study with Reference to Ernakulam District",

The women entrepreneurs, who set up business units with encouragement and institutional support, find it difficult to market their products. The marketing concept is yet to be grasped in its entirety. Women entrepreneurs especially find the marketing fiinctions difficult to carry out. Hence, this study is carried out to understand the marketing management in SSI units of women entrepreneurs

Form-invariant bivariate weighted models

In this paper the class of continuous bivariate distributions that has form-invariant weighted distribution with weight function w(x1, x2) ¼ xa1 1 xa2 2 is identified. It is shown that the class includes some well known bivariate models. Bayesian inference on the parameters of the class is considered and it is shown that there exist natural conjugate priors for the parameters

State-of-the-Art: Transformation Invariant Descriptors

As the popularity of digital videos increases, a large number illegal videos are being generated and getting published. Video copies are generated by performing various sorts of transformations on the original video data. For effectively identifying such illegal videos, the image features that are invariant to various transformations must be extracted for performing similarity matching. An image feature can be its local feature or global feature. Among them, local features are powerful and have been applied in a wide variety of computer vision aplications .This paper focuses on various recently proposed local detectors and descriptors that are invariant to a number of image transformations.

Rotation Invariant Real-time Face Detection and Recognition System

In this report, a face recognition system that is capable of detecting and recognizing frontal and rotated faces was developed. Two face recognition methods focusing on the aspect of pose invariance are presented and evaluated - the whole face approach and the component-based approach. The main challenge of this project is to develop a system that is able to identify faces under different viewing angles in realtime. The development of such a system will enhance the capability and robustness of current face recognition technology. The whole-face approach recognizes faces by classifying a single feature vector consisting of the gray values of the whole face image. The component-based approach first locates the facial components and extracts them. These components are normalized and combined into a single feature vector for classification. The Support Vector Machine (SVM) is used as the classifier for both approaches. Extensive tests with respect to the robustness against pose changes are performed on a database that includes faces rotated up to about 40 degrees in depth. The component-based approach clearly outperforms the whole-face approach on all tests. Although this approach isproven to be more reliable, it is still too slow for real-time applications. That is the reason why a real-time face recognition system using the whole-face approach is implemented to recognize people in color video sequences.

A Detailed Look at Scale and Translation Invariance in a Hierarchical Neural Model of Visual Object Recognition

The HMAX model has recently been proposed by Riesenhuber & Poggio as a hierarchical model of position- and size-invariant object recognition in visual cortex. It has also turned out to model successfully a number of other properties of the ventral visual stream (the visual pathway thought to be crucial for object recognition in cortex), and particularly of (view-tuned) neurons in macaque inferotemporal cortex, the brain area at the top of the ventral stream. The original modeling study only used ``paperclip'' stimuli, as in the corresponding physiology experiment, and did not explore systematically how model units' invariance properties depended on model parameters. In this study, we aimed at a deeper understanding of the inner workings of HMAX and its performance for various parameter settings and ``natural'' stimulus classes. We examined HMAX responses for different stimulus sizes and positions systematically and found a dependence of model units' responses on stimulus position for which a quantitative description is offered. Interestingly, we find that scale invariance properties of hierarchical neural models are not independent of stimulus class, as opposed to translation invariance, even though both are affine transformations within the image plane.

Rotation Invariant Object Recognition from One Training Example

Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations. Such a descriptor--based on a set of oriented Gaussian derivative filters-- is used in our recognition system. We report here an evaluation of several techniques for orientation estimation to achieve rotation invariance of the descriptor. We also describe feature selection based on a single training image. Virtual images are generated by rotating and rescaling the image and robust features are selected. The results confirm robust performance in cluttered scenes, in the presence of partial occlusions, and when the object is embedded in different backgrounds.

Matching Interest Points Using Projective Invariant Concentric Circles

We present a new method to perform reliable matching between different images. This method exploits a projective invariant property between concentric circles and the corresponding projected ellipses to find complete region correspondences centered on interest points. The method matches interest points allowing for a full perspective transformation and exploiting all the available luminance information in the regions. Experiments have been conducted on many different data sets to compare our approach to SIFT local descriptors. The results show the new method offers increased robustness to partial visibility, object rotation in depth, and viewpoint angle change.

English social science units for primary : 3rd level.

El CEIP Manuel Pérez de Bollullos Par del Condado (Huelva) ha recibido el Primer Premio de Páginas Web Educativas de la Junta de Andalucía, y ha sido galardonado con la Medalla de Oro al Mérito Educativo

Designing context-aware adaptive units of learning based on IMS-LD standard

Learning contents adaptation has been a subject of interest in the research area of the adaptive hypermedia systems. Defining which variables and which standards can be considered to model adaptive content delivery processes is one of the main challenges in pedagogical design over e-learning environments. In this paper some specifications, architectures and technologies that can be used in contents adaptation processes considering characteristics of the context are described and a proposal to integrate some of these characteristics in the design of units of learning using adaptation conditions in a structure of IMS-Learning Design (IMS-LD) is presented. The key contribution of this work is the generation of instructional designs considering the context, which can be used in Learning Management Systems (LMSs) and diverse mobile devices

Benchmarking, una mirada comparativa de las mejores prácticas de las escuelas de negocios más destacadas del mundo

El mundo económico actual se desarrolla dentro del marco de la globalización, que ha llevado a una mayor internacionalización y competitividad de cada uno de los mercados del mundo. En esta investigación se analizarán las mejores prácticas que poseen las mejores escuelas de administración del mundo. Gran parte de éstas cuentan con al menos una de las tres acreditaciones internacionales más importantes en el ámbito de la administración, las cuales brindan un mayor posicionamiento en el mercado de la educación superior. Por lo tanto, la aplicación de la herramienta Benchmarking brindará un mayor entendimiento de las variables y mejores prácticas que han llevado al éxito en la obtención de éstas acreditaciones por parte de aquellas universidades del mundo, y además permitirá que la Facultad de Administración de la Universidad del Rosario logre comprender sus fortalezas y debilidades y emprenda el camino del mejoramiento continuo en la búsqueda de éstas acreditaciones internacionales y posicionamiento en el mercado.

Benchmarking de facultades de administración : en busca de las mejores prácticas

El proceso económico actual se desarrolla en el marco de la globalización, que ha llevado a una mayor internacionalización y competitividad de los mercados del mundo. En esta investigación se analizarán las mejores prácticas que poseen un conjunto de escuelas de Administración. Gran parte de estas cuentan con, al menos una, de las tres acreditaciones internacionales más importantes en el ámbito de la enseñanza de la administración, las cuales brindan un mayor posicionamiento en el mercado de la educación superior. Por lo tanto, los resultados obtenidos brindarán mayor entendimiento de las variables y mejores prácticas que han llevado al éxito en la obtención de estas acreditaciones y, además, permitirá que la Facultad de Administración de la Universidad del Rosario logre comprender sus fortalezas y debilidades, y avance en el camino del mejoramiento continuo en la búsqueda de estas acreditaciones internacionales y posicionamiento en el mercado.

Administrative authorization for the demolition of urban rental units pursuant to the law of 1964: a spanish example of problematic over-activity in the application of transitional laws

Transitional provisions are defined as the set of regulations that rule juridical relationships on the occasion of a legislative change. Out of this context of law succession, their indiscriminate application can lead to serious inconsistencies. The analysis of a Spanish private law example is offered to illustrate this fact. It concerns the administrative authorization for the demolition of rented buildings in the cities. A regulation repealed more than fifteen years ago and however widespread utilised on ancient constructions that, after recent urban development, have acquired great economic value; something that in the end explains the current importance of such provisions. What is happening in Spain: denaturalization of the original  figure due to a mixture of formalist interpretations and speculative market interests, is presented here to call the attention on the necessary limitation of transitional provisions’ effects.

Analysis of the alveolar recruitment maneuvers applied at seven intensive care units

Introduction: During the past years, alveolar recruitment maneuvers (RM) have produced growing interest due to their beneficial potential in pulmonary protection, and have been introduced in clinical practice. Objective: To describe and analyze the knowledge of MR and its application at seven intensive care units in the city of Cali, Colombia. Methods and materials: Descriptive Cross-Sectional Study with an intentional sample of 64 professionals working in seven intensive care units and who apply MR. The self-completed survey was made up of thirteen questions, and the application period was two months. Results: Out of 64 professionals surveyed, 77.8% of them follow a protocol guide; 54.7% employes during RM the ideal Positive end-expiratory pressure (PEEP), which maintains a saturation > 90% and a PaO2 > 60 mmHg; 42.1% tolerates airway pressures between 35 and 50 cmH2O; 48.4% perform RM with a progressive increase of the PEEP and a low tidal volume. Conclusions: Regarding the knowledge related to RM, heterogeneity was found in the answers. There is currently no consensus about which is the most effective and secure way to implement an MR. This study can be the starting point to create awareness towards the revision of knowledge, capacities and abilities that are required to perform RM.