Nupur Prakash

Electronic Medical Records: A Review Comparing the Challenges in Developed and Developing Countries

Studies on the adaptation of electronic medical and personal health records in developing countries are scarce. There are sharp differences between barriers to adaptation and implementation in developing countries to that of developed countries. This paper examines the challenges faced by developing countries toward the development, progression and sustainability of electronic medical records. The paper also provides a review of implementation of varying types of electronic medical data management systems in developing countries.

A review of vertical handoff decision algorithm in heterogeneous networks

Mobility is one of the most compelling features in communication these days, having an enormous impact on pervasive computing. In the vision of 4G wireless communications, it is one of the requisite to provide seamless mobility support across heterogeneous access networks. In order to enable mobile users to seamlessly roam across such heterogeneous networks, there are many challenges arising from inter technology vertical Handover. This paper aims to review the Fuzzy logic based Vertical Handoff Decision Algorithm based on three input parameter namely Received Signal Strength, Cost and Bandwidth, as against one input parameter namely Received Signal Strength in case of conventional Vertical Handoff Decision Algorithm. This important feature of Vertical Handoff Decision in 4G networks will improve the overall efficiency of seamless mobility in fourth generation heterogeneous networks.

Machine Learning Approach for the Classification of Demonstrative Pronouns for Indirect Anaphora in Hindi News Items

Machine Learning Approach for the Classification of Demonstrative Pronouns for Indirect Anaphora in Hindi News Items In this paper, we present machine learning approach for the classification indirect anaphora in Hindi corpus. The direct anaphora is able to find the noun phrase antecedent within a sentence or across few sentences. On the other hand indirect anaphora does not have explicit referent in the discourse. We suggest looking for certain patterns following the indirect anaphor and marking demonstrative pronoun as directly or indirectly anaphoric accordingly. Our focus of study is pronouns without noun phrase antecedent. We analyzed 177 news items having 1334 sentences, 780 demonstrative pronouns of which 97 (12.44 %) were indirectly anaphoric. The experiment with machine learning approaches for the classification of these pronouns based on the semantic cue provided by the collocation patterns following the pronoun is also carried out.

Ontology Merging Using Prompt Plug-In of Protégé in Semantic Web

An integral component of the Semantic Web is the notion of an Ontology. Ontologies which are a means for conceptualizing and structuring knowledge play a key role in the realization of semantic web’s vision of incorporating the machineunderstandable data on the current human-readable web. Ontology Management involves various key issues like: Ontology creation or reuse, merging, matching or mapping etc. Due to the exceeding number and wide range of Ontologies day by day, there is a need of higher level of abstraction that enables information fusion across multiple Ontologies which is possible by merging various source Ontologies to form a new and larger Ontology which may replace the earlier ontologies. Ontologies that need to be merged may be similar in some aspects and different in others which is a major challenge for semantic web applications. Ontology merging refers to a process of taking two or more source ontologies and return a merged ontology based on the given source ontologies. There is a need to merge a set of all conceptual based information and physical merging at attribute level in all Ontologies without any redundancy and taking care of alignment and mapping factors or any other significant issues which may be time consuming or a challenging complex task. Various approaches, tools and techniques are being applied for this purpose. This paper highlights the merging process and it’s key issues and illustrates it with an example of merging two ontologies using prompt plug-in of protégé

Word boundary detection in continuous speech based on suprasegmental features for hindi language

Word boundary detection in continuous speech is very common and important problem in speech synthesis and recognition. Several researches are open on this field. Since there is no sign of start of the word, end of the word and number of words in the spoken utterance of any natural language, one must study the intonation pattern of a particular language. In this paper an algorithm is proposed to detect word boundaries in continuous speech of Hindi language. A careful study of the intonation pattern of Hindi language has been done. Based on this study it is observed that, there are several suprasegmental parameters of speech signal such as pitch, F0 fundamental frequency, duration, intensity, and pause, which can play important role in finding some clues to detect the start and the end of the word from the spoken utterance of Hindi Language. The proposed algorithm is based mainly on two prosodic parameters, pitch and intensity.

A matching criterion for motion compensation in the temporal coding of video signal

Video data have spatial as well as temporal redundancy and motion estimation plays a vital role in the removal of temporal redundancy of video data. Block matching techniques are mostly used and generally the matching criterion in these block matching techniques is the mean absolute error (MAE). Though MAE-based approach is simple and less complex, it does not give better prediction specially for large motion video inputs with contrast variation. In this manuscript, a new block matching criterion has been suggested and experimentally compared with three existing methods in terms of four parameters—average MAE/pixel, average search points/block, average peak signal to noise ratio (PSNR) and average number of bits/pixel value. Proposed criterion gives nearly 75% less average error than conventional MAE. An increase of nearly 16% in average PSNR value and 37% reduction in average bits/pixel value in comparison to MAE has been observed for the proposed criterion. Further, these criterions have also been evaluated for quality/compression ratio which is nearly 80% more for the proposed criterion than corresponding MAE metric.

Web hypermedia content management system effort estimation model

This study aims at creation of a well defined estimation model which can be used to estimate the effort required for designing and developing the web hypermedia content management systems. The data from the different content management system projects are studied and the linear regression approach is used to finalize the model. This model also provides guidelines to calculate phase wise distribution of effort. The model is designed to help project manager to estimate effort at the very early stage of requirement analysis. A set of questionnaire is used to estimate the complexity of the project, which has to be filled after completing the initial requirement analysis. Final effort is estimated using the project size and the different adjustment factors. For better calculation of these adjustments factors, these are categorized into three categories based on their characteristics such as Production and General system characteristics. This model is proposed to be used differently for the different types of projects. These projects are categorized based on their size and total/build effort ratio. The size of the project is estimated by using the modified object point analysis approach. The estimated effort is further phase wise distributed for better scheduling of the project. Another questionnaire is used to refine the model and it has to be filled by the project managers after completing the project. The proposed model is validated by studying twelve completed projects taken from industry and seventy different projects completed by the students. The proposed model shows a great improvement as compared to the earlier models used in effort estimation of CMS projects.

An Improved Framework for Incident Handling

ABSTRACT Information is regarded as a resource with the highest organizational value. Every organization needs a secured way to transmit information over the network. When the network grows, the security becomes a major concern. As a result, a traffic monitoring frame work is required to understand the security risks, to handle the security breaches, to design the security policy, and to provide an effective business continuity plan in case of cyber disasters. In this paper, an Internet traffic monitoring framework has been proposed which handles incidents in a better way and consists of three interdependent layers. Layer 1 comprises the stakeholders involved in implementing the framework. Layer 2 is the core layer which provides the mechanism for its implementation, and Layer 3 shows the outcomes of the Internet Traffic Monitoring Framework. The proposed framework has been designed to ease the work of the Internet Service Provider and to provide a reliable and systematic way of incident handling by monitoring the Internet traffic to combat cyber crimes, cyber terrorism, and cyber disasters in the Republic of Mauritius. This framework also provides a foundation for the overall security management at Computer Emergency Response Team (CERT), Mauritius.

A Quality Based Motion Estimation Criterion for Temporal Coding of Video

In video compression, motion compensation techniques are used for removal of temporal redundancy and it is the block based matching concept which is most popular among them. In such matching techniques, Mean Absolute Difference (MAD) is widely accepted as the matching criterion because of its simplicity and low computation. Since MAD considers only average error value in a block for matching purposes while ignoring individual difference between the pixels, the matching may not be more accurate. In this paper, a new block matching criterion is being suggested and is experimentally compared with two other matching criterions including MAD, using four parameters and the results are better for the proposed one.

Two-level single-chain pointer forwarding strategy: a new scheme for location management in mobile communication

A new strategy called ‘two-level single-chain pointer (TLSCP) Forwarding strategy is proposed to reduce location management cost for mobile users. A two-level hierarchy of level-1 and level-2 pointer forwarding chains that are reduced to a single chain in a distributed database environment to locate a mobile user is used in this strategy. An analytical model is developed to evaluate the signalling and location tracking cost. Performance analysis shows that the proposed TLSCP scheme significantly reduces the network signalling traffic cost for mobile users with low mobility.