The term, Big Data, has been authored to refer to the extensive heave of data that can't be managed by traditional data handling methods or techniques. The field of Big Data plays an indispensable role in various fields, such as agriculture, banking, data mining, education, chemistry, finance, cloud computing, marketing, health care stocks. Big data analytics is the method for looking at big data to reveal hidden patterns, incomprehensible relationship and other important data that can be utilize to resolve on enhanced decisions. There has been a perpetually expanding interest for big data because of its fast development and since it covers different areas of applications. Apache Hadoop open source technology created in Java and keeps running on Linux working framework was used. The primary commitment of this exploration is to display an effective and free solution for big data application in a distributed environment, with its advantages and indicating its easy use. Later on, there emerge to be a required for an analytical review of new developments in the big data technology. Healthcare is one of the best concerns of the world. Big data in healthcare imply to electronic health data sets that are identified with patient healthcare and prosperity. Data in the healthcare area is developing past managing limit of the healthcare associations and is relied upon to increment fundamentally in the coming years.

Named Entity Recognition (NER) System aims to extract the existing information into the following categories such as: Person's Name, Organization, Location, Date and Time, Term, Designation and Short forms. Now, it is considered to be important aspect for many natural languages processing (NLP) tasks such as: information retrieval system, machine translation system, information extraction system and question answering. Even at a surface level, the understanding of the named entities involved in a document gives richer analytical framework and cross referencing. It has been used for different Arabic Script-Based languages like, Arabic, Persian and Urdu but, Sindhi could not come into being yet. This paper explains the problem of NER in the framework of Sindhi Language and provides relevant solution. The system is developed to tag ten different Named Entities. We have used Ruled based approach for NER system of Sindhi Language. For the training and testing, 936 words were used and calculated performance accuracy of 98.71%.

Abstract-The demand for distributed and complex business applications in the enterprise requires error-free and highquality application systems. Unfortunately, most of the developed software contains certain defects which cause failure of a system. Such failures are unacceptable for the development in the critical or sensitive applications. This makes the development of high quality and defect free software extremely important in software development. It is important to better understand and compute the association among software defects and its failures for the effective prediction and elimination of these defects to decline the failure and improve software quality. This paper presents a review of software defects prediction and its prevention approaches for the quality software development. It also focuses a review on the potential and constraints of those mechanisms in quality product development and maintenance.

With the advent of E-Learning (Electronic Learning) and M-Learning (Mobile Learning), many educational software or tools have been developed, a major part of which are game-based applications. Even though, most of which are freely available on the web, there are only few intuitions make practical and effective use of these learning applications. Because these applications utilises various elements of multimedia such as audio, video, image and animation, they help visualise the learning materials and hence have higher span of at attention. To investigate the effect of web and game based E-Learning and M-Learning, an experiment was conducted amongst the students of three different schools in Pakistan and the results were analysed. The results of our research reveal that utilisation of such web and game based learning tools are much more effective compared to the traditional teaching methods without applying any ICT (Information and Communication Technology) tools.

No abstract

No abstract

The present day state of Sindhi corpus construction is elaborated in detail in this paper. The issues like corpus acquisition, tokenization and preprocessing have been analyzed and discussed minutely for Sindhi corpus enhancement. Initial observations and results are included for letter unigram, bigram and trigram frequencies. There has been discussed the present status of Sindhi corpus in perspective of restriction and future work. Orthography and script were also explored in this paper with reference to corpus development. Basically the word corpus was used first time by German Scholar (Das Corpus). The plural of corpus is corpora, which is used for huge text data consists of millions and billions of text data. The task of Natural Language Processing was very challenging because there was the scarcity of resources for computational linguistics and research. Different text corpora have been made in different languages of different countries, after reviewing the corpora of different languages of various countries, we are trying to make the corpus for Sindhi language.

Learning technology was used as standalone software to install in a particular system, which needs to buy learning software of a particular subject. It was costly and difficult to search CD/DVD of the particular program in the market. Nowadays the trend of learning is changed and people are learning via the internet and it is known as Electronic Learning (E-learning). Several e-learning web applications are available which are providing more stuff about students and it fulfills requirements. The aim of this paper is to present a wellstructured, user-friendly framework with the web application for e-learning, which does not need any subscription. The experiment was conducted with 691 students and teachers, the result shows 91.98% of participants were satisfied with the proposed E-learning system.