CSED

This paper is an attempt to show that an intermediary level of analysis is an effective way for carrying out various NLP tasks for linguistically similar languages. We describe a process for developing a simple parser for doing such tasks. This parser uses a grammar driven approach to annotate dependency relations (both inter and intra chunk) at an intermediary level. Ease in identifying a particular dependency relation dictates the degree of analysis reached by the parser. To establish efficiency of the simple parser we show the improvement in its results over previous grammar driven dependency parsing approaches for Indian languages like Hindi. We also propose the possibility of usefulness of the simple parser for Indian languages that are similar in nature.

A solid architectural vision is a key discriminator in the success or failure of a software project. This paper discusses how to describe architecture through a set of design viewpoints and how to express these views in the UML. In this paper we mainly focused on the standardization of UML for software development process with the discussion of benefits of UML. Object-oriented analysis (OOA) is concerned with developing software engineering requirements and specifications that expressed as a system's object model (which is composed of a population of interacting objects), as opposed to the traditional data or functional views of systems. The goal of this paper is to combine the respective strengths of powerful, specialized (architectural-based) modeling approach (UML) with a widely used general (design-based) approach. Also some weaknesses have been discussed so that existing modeling can be optimized for better architecture development.

Anaphora occurs very frequently in written texts and spoken dialogues. Almost all NLP applications such as machine translation, information extraction, automatic summarization, question answering system, natural language generation, etc., require successful identification and resolution of anaphora. Though the significant amount of work has been done in English and other European languages, the computational work, in reference to Hindi, is lagging far behind. In this paper, we present a review of work done in the field of anaphora resolution in Hindi. We also cover different issues and challenges in developing computational models for Hindi.. The paper covers issues related to syntactic/semantic structure of Hindi and influence of cases on pronouns, mainly personal pronoun. The work is mainly dedicated to pronominal anaphora. As the pronouns in Hindi do not differentiate gender, it is the verb and case markers that signify different genders. Influence of case markers in deciding the antecedent is explored. Pronoun resolution in context of EHMT (English-Hindi Machine Translation) systems is demonstrated to substantiate the need of anaphora resolution for NLP application.

Vehicular Ad-Hoc Network, better known as VANET is a promising new technology which combines the capabilities of different wireless networks in vehicles enabling Intelligent Transportation System (ITS). Vehicular Ad-Hoc networks provide communication between on-board unit (OBU) already integrated in the vehicles and roadside units (RSUs) consisting of on-board sensors, processing modules, and wireless communication modules. Immense amount of research is going on both by industry and academia. In vehicular communication because of the high speed of vehicles frequent handovers occur and hence there is always a requirement of secure and fast authentication for a seamless handover to take place. In this paper we propose an authentication scheme that will not only provide security and privacy but also will reduce the storage and communication overhead increasing the efficiency.

Sensitivity analysis is the process of doing a systematic review involving a sequence of parameter, feature set and decisions to calculate the impact of these parameters on the study. It will guide the researchers to evaluate the parameter to consider their relevance in the study. In this paper we consider two features out of seven tags which were employed to resolve the anaphora in Hindi. These tags and their values analyzed empirically for the corpus. We analyzed 165 news items of Ranchi Express from EMILEE corpus of plain text. It consists 1745 sentences. Eight files of dialogue base from the same corpus have been analyzed which will have 1521 sentences. We exploited tag set proposed by different authors and their features.

The process of labelling any language genre by which one can extract useful information is called annotation. This provides syntactic information about a word or a word phrase. In this paper, an effort has been made to provide the algorithm for semiautomatic annotation for Hindi text to cater anaphora resolution only. The study was conducted on twelve files of Ranchi Express available in EMILLE corpus. The corpus is originally tagged for demonstrative pronouns. The detection of the pronouns is supported by the incorporation of seven tags. However the semantic interpretation of the demonstrative pronoun is not supported in the original corpus. In this paper an effort has been made to automate the process of tagging as well as the handling of semantic information through addition tags. It was conducted on 1485 demonstrative pronouns. The average accuracy of precision, recall and F measure is 74, 71 and 72 respectively.

Nowadays, large quantities of gene sequences of related species of plants, animals and microorganisms show complex patterns of similarity to one another and many molecular biologists are convinced that an understanding of sequence evolution is the first step towards understanding the evolution itself. There are varieties of different tools available to perform sequence analysis. Blast is a successful tool to compare biological sequences. Now a days Large amount of biological data is available, So Standalone Blast is not sufficient to handle all types of queries related to sequence similarities, so different variants (BlastX, BlastP, BlastN, TblastN, TblastX, PSI_Blasts) have been developed. Each variant has limitations and advantages. Every tool is made to handle with different purposes. In this paper comparison of variants of BLAST(BlastX, BlastP, BlastN, TblastN, TblastX, PSI_Blasts) is done on the basis of different factors. This has been also analyzed that how we can increase the efficiency of these variants.

Traditional Wireless Sensor Networks (WSNs) generally use static sinks to collect data from the sensor nodes via multiple forwarding. Therefore, network suffers with some problems like long message relay time, bottle neck problem which reduces the performance of the network. Many approaches have been proposed to prevent this problem with the help of mobile sink to collect the data from the sensor nodes, but these approaches still suffer from the buffer overflow problem due to limited memory size of sensor nodes. This paper proposes an energy efficient scheme for data gathering which overcomes the buffer overflow problem. The proposed scheme creates virtual grid structure of heterogeneous nodes. Scheme has been designed for sensor nodes having variable sensing rate. Every node finds out its buffer overflow time and on the basis of this cluster heads are elected. A controlled traversing approach is used by the proposed scheme in order to transmit data to sink. The effectiveness of the...

Anaphora occurs very frequently in written texts and spoken dialogues. Almost all NLP applications such as machine translation, information extraction, automatic summarization, question answering system, natural language generation, etc., require successful identification and resolution of anaphora. Though the significant amount of work has been done in English and other European languages, the computational work, in reference to Hindi, is lagging far behind. In this paper, we present a review of work done in the field of anaphora resolution in Hindi. We also cover different issues and challenges in developing computational models for Hindi.. The paper covers issues related to syntactic/semantic structure of Hindi and influence of cases on pronouns, mainly personal pronoun. The work is mainly dedicated to pronominal anaphora. As the pronouns in Hindi do not differentiate gender, it is the verb and case markers that signify different genders. Influence of case markers in deciding the antecedent is explored. Pronoun resolution in context of EHMT (English-Hindi Machine Translation) systems is demonstrated to substantiate the need of anaphora resolution for NLP application.

Image recognition plays a vital role in image-based product searches and false logo identification on e-commerce sites. For the efficient recognition of images, image segmentation is a very important and is an essential phase. This article presents a physics-inspired electromagnetic field optimization (EFO)-based image segmentation method which works using an automatic clustering concept. The proposed approach is a physics-inspired population-based metaheuristic that exploits the behavior of electromagnets and results into a faster convergence and a more accurate segmentation of images. EFO maintains a balance of exploration and exploitation using the nature-inspired golden ratio between attraction and repulsion forces and converges fast towards a globally optimal solution. Fixed length real encoding schemes are used to represent particles in the population. The performance of the proposed method is compared with recent state of the art metaheuristic algorithms for image segmentatio...