Volume 1 Issue 2

Algorithm for Using Codes In Place Of Facial Images during Image Processing In Large Databases and Data Warehouses to Reduce Storage, Enhance Efficiency and Processing Speed

  • Abstract-:The main purpose of this work is to assign codes to the facial image stored in large databases / Data warehouses, the images require large amount of storage as compared to a numeric code. Moreover, when images are compared to images, the process is more time consuming as compared to the numeric codes. It is proposed to keep up all images in a separate database file along with their codes. The codes of facial images may be stored in master Database/ Data warehouse for all records. The search queries can be processed using the numeric codes. In this manner the Time Complexity and Space Complexity are reduced considerably. Whenever, any image is received for searching its record, first its code is obtained by proposed algorithm and then this code is used to search the record from database/Data Warehouse making entire procedure faster and efficient

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Self-Enabling Vehicular Agent using Cloud and Massive Data

  • Abstract-:Abstract:- Since last some decades, the autonomous technology in the vehicles was used to help the drivers to voyage effortlessly along the highways and to avoid road accidents. In this duration, a number of high-end vehicles was built-in electronic secureness mechanism, adaptive voyage mechanism, lane departure warnings and city safety system. Approximately, 95% of the road accidents were caused by the wrong behavior, careless, focus less and tiredness of the drivers. Even with the attractiveness of recent traffic control applications, a lack of dynamic information about roads and weather conditions was more than an infuriation. For this purpose, we developed a self-enabling vehicular agent in which cloud and Massive data is used. The cloud and massive data enabled the agent to see around corners or even miles down the road and to drive itself more carefully. The parameters enabled the agent to keep the driver informed on the road conditions ahead. The vehicular agent would be enable to process the appropriate data from this massive data, send it via cloud to forecasts of the traffic situation, the road conditions, the cars are ahead of it and the weather in the real time.

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SCEIP: Analysis Study for Deploying Cloud Services in Educational Institutions of Pakistan

  • Abstract-: For underdeveloped countries like Pakistan, education is very important to be at par with the developed countries. Education plays a vital role in the development and prosperity of the country. Cloud computing has been an essential part of education during the last few years. We have conducted a cost benefit analysis on cloud deployment in government institutions. Our focus is to evaluate the costs and benefits of moving educational institutions data to cloud. We intend to investigate the cost required to implement cloud based structure in an institution and what benefits it will bring to it. We will be considering some specific universities for each sector: public and private. We have compared the cost of traditional system being followed in institutions and SAAS system which will be helpful for educational sector. We conducted a survey to investigate barriers involved in implementing cloud facilities in public institutions. The comparison shows the benefits of implementing SAAS model in institutions

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Multimodal Interaction Recognition Mechanism by Using Midas Featured By Data-Level and Decision-Level Fusion

  • Abstract-: Natural User Interfaces (NUI's) dealing with gestures is an alternative of traditional input devices on multi-touch panels. Rate of growth in the Sensor technology has increased the use of multiple sensors to deal with various monitoring and compatibility issues of machines. Research on data-level fusion models requires more focus on the fusion of multiple degradation-based sensor data. Midas, a novel declarative language to express multimodal interaction patterns has come up with the idea of developers required patterns description by employing multi-model interaction mechanism. The language as a base interface deals with minimum complexity issues like controlling inversion and intermediary states by means of data fusion, data processing and data selection provisioning high-level programming abstractions.

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Modeling Emotional Mutation and Evolvement Using Genetic Algorithm in Agency

  • Abstract-:Human mind has the ability to generate emotions based on internal and external environment. These emotions are based on past experiences and the current situation. Mutation of emotions in human is the change in the intensity of emotion and the more intense the emotion is, it has more chances of existence. In mutative state two emotions are crossover and from the new emotions only the fittest and strongest emotion survive. Emotional mutation and evolvement helps human mind in decision making and in generating response. In agency the phenomenon of emotional modeling can be accomplished by Mutation and Evolvement for generating output. Genetic algorithm is computational model that is inspired by evolution of biological population and by using mutation and crossover of Genetic Algorithm the agency is able to generate output.This paper presents the algorithmic approach for emotional Mutation and Evolvement using Genetic Algorithm for generating output in agency.

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Identification of Associations between Cognitive Agents Using Learning Based System

On The Use of Cloud Computing in Educational Institutions – A Survey

  • Abstract-:Pakistan has the potential of producing intellectual individuals that help in contributing for the better of the world through their knowledge and skills. There can be many opportunities created and built for the education sector through the introduction of advanced technologies for educational purposes. Hence, there is a rapid need for the adoption of cloud-based learning environment in the institutions in Pakistan for a better learning and a better tomorrow. This paper presents a survey of some of the universities in the metropolitan cities of the country and discusses the approach and environment that has been established in those institutions for learning purposes. A survey was carried out, it was then analyzed, the current situation was observed and conclusions for a better learning environment were then discussed. The survey and analysis of was carried out to see how education at school level is delivered and how it is done at university level which would help in creating a stronger base at primary and intermediate levels. It is expected that this study will help future research work when looking into the cloud based learning environments in the educational institutions of Pakistan and ways in which it can be improved and taken to a higher level.

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