Papers by Vijayan Sugumaran
IGI Global eBooks, Jan 18, 2011
IGI Global eBooks, 2010
The evolution of mobile devices has opened new opportunities for collaboration and communication.... more The evolution of mobile devices has opened new opportunities for collaboration and communication. Instant connectivity, portability, rapidly reducing costs, etc. are some of the drivers for this change. Mobile devices have lower processing power, memory capabilities, deal with varying network conditions and the available power is less. Notwithstanding the above, mobile communities have emerged as a significant domain of research in their own right akin to the online (virtual) communities. This article traces the factors contributing to the proliferation of mobile communities and places the mobile community networks in a current and future perspective. An architecture for the mobile community network is proposed and the challenges in implementing such a network are also discussed.
IGI Global eBooks, Jan 18, 2011
A SDSS combines database storage technologies, geographic information systems (GIS) and decision ... more A SDSS combines database storage technologies, geographic information systems (GIS) and decision modeling into tools which can be used to address a wide variety of decision support areas (Eklund, Kirkby, and Pollitt, 1996). Recently, various emerging technologies in computer hardware and software such as speedy microprocessors, gigabit network connections, fast internet mapping servers along with Web-based technologies like extensible markup language (XML), Web services, etc provide promising opportunities to take the traditional spatial decision support systems one step further to provide easy-to-use, round-the-clock access to spatial data and decision support over the Web. Traditional DSS and Web-based spatial DSS can be further improved by integrating expert knowledge and utilizing intelligent software components (such as expert systems and intelligent agents) to emulate the human intelligence and decision making. These kinds of decision support systems are classified as intelligent decision support systems. The objective of this chapter is to discuss the development of an intelligent web-based spatial decision support system and demonstrate it with a case study for planning snow removal operations.
arXiv (Cornell University), Jul 28, 2020
Emotion analysis has been attracting researchers' attention. Most previous works in the artificia... more Emotion analysis has been attracting researchers' attention. Most previous works in the artificial-intelligence field focus on recognizing emotion rather than mining the reason why emotions are not or wrongly recognized. The correlation among emotions contributes to the failure of emotion recognition. In this article, we try to fill the gap between emotion recognition and emotion correlation mining through natural language text from Web news. The correlation among emotions, expressed as the confusion and evolution of emotion, is primarily caused by human emotion cognitive bias. To mine emotion correlation from emotion recognition through text, three kinds of features and two deep neural-network models are presented. The emotion confusion law is extracted through an orthogonal basis. The emotion evolution law is evaluated from three perspectives: one-step shift, limited-step shifts, and shortest path transfer. The method is validated using three datasets: 1) the titles; 2) the bodies; and 3) the comments of news articles, covering both objective and subjective texts in varying lengths (long and short). The experimental results show that in subjective comments, emotions are easily mistaken as anger. Comments tend to arouse emotion circulations of love-anger and sadness-anger. In objective news, it is easy to recognize text emotion as love and cause fear-joy circulation. These findings could provide insights for applications regarding affective interaction, such as network public sentiment, social media communication, and human-computer interaction.
Springer eBooks, Nov 12, 2007
ABSTRACT Capturing and representing information systems requirements using quality artifacts is a... more ABSTRACT Capturing and representing information systems requirements using quality artifacts is an important step in successful systems development process. Better quality artifacts in the early stages of systems development help in early detection and correction of errors. Although UML is widely used for modeling systems requirements, it is often difficult for novice systems analysts to develop quality UML artifacts. This paper mines a set of errors frequently observed in use case models and sequence diagrams created by novice analysts, and develops propositions identifying intra- and inter-artifacts quality. The data mining tool, AlphaMiner, was used to discover dependencies as association rules between frequently committed errors. Propositions have been developed based on these dependencies identified from student projects.
Interdisciplinary Innovations and Developments towards Smart and Sustainable Industries
He has 18 years of teaching and research experience. Dr. Kumar has published more than 100 resear... more He has 18 years of teaching and research experience. Dr. Kumar has published more than 100 research articles in journals and conferences of repute; and supervised 5 Ph.D. and approximately 50 M.Tech. Theses. His current research interests include the
As globalization initiatives continue to expand, there is an increasing need for sophisticated so... more As globalization initiatives continue to expand, there is an increasing need for sophisticated software to support " intelligent " applications. These systems are knowledge intensive in that they require access to large amounts of domain knowledge to compliment public and organization specific knowledge. Examples include those systems that support the semantic Web, Web queries, Web services, heterogeneous databases, and multiagent systems. One way to support the development of sophisticated systems is through the incorporation of domain knowledge into systems design. Domain ontologies specify concepts, relationships between concepts, and inference rules for an application domain (e.g., travel reservation, soccer, gourmet food). Ontologies, in general, are increasingly needed for software design, including information sharing among heterogeneous data sources, interpreting unstructured data on the Web, creating and evaluating conceptual models, Web queries, and others. seman...
The continued growth of the World Wide Web makes the retrieval of relevant information for a user... more The continued growth of the World Wide Web makes the retrieval of relevant information for a user's query increasingly difficult. Current search engines provide the user with many web pages, but varying levels of relevancy. In response, the Semantic Web has been proposed to retrieve and use more semantic information from the web. Our prior research has developed an intelligent agent to automate the processing of a user's query while taking into account the query's context. The intelligent agent uses WordNet and the DARPA Agent Markup Language (DAML) ontologies to act as surrogates for understanding the context of terms in a user's query. This research develops a set of syntactic, semantic, and pragmatic constructs to assess the effectiveness of the DAML ontologies so that the intelligent agent can select the most useful ontologies. These constructs have been implemented in a tool called the "Ontology Auditor" for use by the intelligent agent.
IGI Global eBooks, 2011
Product-related information can be integrated with the help of a product ontology, which can prov... more Product-related information can be integrated with the help of a product ontology, which can provide consensual definitions of concepts and interrelationships relevant in a product domain of interest. A product ontology is either given by a third party or results from ontology engineering. In both cases, the problem is how to assess its quality, and then select the "right" ontology. This chapter: (1) proposes a metrics suite for product ontology evaluation based on semiotic theory, and (2) demonstrates the feasibility and usefulness of the metrics suite using a supply chain model. The contribution of this research is the comprehensive metrics suite that takes into account the various quality dimensions of product ontology.
Neural Computing and Applications, Jun 15, 2023
The research work describes an attempt to enhance the 3-D Pythocrypt algorithm using the AES Symm... more The research work describes an attempt to enhance the 3-D Pythocrypt algorithm using the AES Symmetric encryption technique by generating the key using an ancient approach of Chitra kavya. 3-D Pythocrypt is a new technique where we use the properties of 3-D geometric shapes to encrypt and decrypt plain text.
IGI Global eBooks, Jan 18, 2011
There are a multitude of benefits and challenges that can be derived from the convergence of two ... more There are a multitude of benefits and challenges that can be derived from the convergence of two major current technologies: (a) Web services (WS) – technology that allows application development and integration using the service-oriented computing paradigm; and (b) E-business systems – using the Internet as the basis for interacting with customers, suppliers, and other business partners. This combination, called WS-based e-business systems promises to provide a dynamic e-business environment. We investigate the existing deployment barriers for such an environment from the perspectives of the three WS stakeholders, namely the service providers, service consumers and the WS Standards Organizations; and present a challenges framework that organizes and interrelate these barriers in an easily understandable manner to help study further the factors that impact the deployment and use of WS within e-business. Using this framework we analyze WS incorporation challenges for small and medium-sized enterprises (SMEs) since they are a vital engine driving the world economy, and are realizing significant benefits from adoption and implementation of Internet-based business solutions. WS-based e-business system applications promise to do even more for them.
Americas Conference on Information Systems, 2016
Software project outcomes characterized by meeting goal achievement and performance triad of budg... more Software project outcomes characterized by meeting goal achievement and performance triad of budget, schedule and quality have been shown to be contingent upon project environment factors. However, choice of methodology and its implications on project outcomes still remain under-investigated. Following contingency theory, we empirically examine the effect of the fit between the choice of development methodology and project environment on the project outcome. We analysed a sample of 163 software development projects using PLS-SEM and our results show that the use of traditional methodology strongly countered the negative effect of requirement volatility on project outcome compared to agile methodologies and use of hybrid methodologies showed a stronger positive effect of project complexity on goal achievement. Further, for critical projects, use of agile methodologies favoured goal achievement.
With recent technological developments, the field of assistive technology has advanced with enorm... more With recent technological developments, the field of assistive technology has advanced with enormous opportunity for the development of more efficient assistive devices.While various assistive devicesexist, their enhancement is still in progress. The blind or visually impaired people can use these devices according to their ability and needs. Some of the existing devices for visually handicapped lack advanced features and efficient functionalities.Thus,there is great need for more dynamic features. With the help of technologies like IoT, Machine learning and Computer Vision we propose a prototype of anassistive vision enhancing wearable cap-based system called CAPture for the visually impaired. The system is aimed to be low cost, and will act as the guiding agent for the user to know about the surroundings with precision and ease both in indoor and outdoor environments. The proposed system is designed to be operated in two different modes, i.e., battery saver and normal mode. In the battery saver mode, it can detect the objects with buzzer-based output, whereas in the normal mode it is designed to support enhanced features like object detection, family member detection, social helper detection like police, doctor etc, and scenery visualization using voice-based outputs. The various advanced features are developed using some pre-trained and newly trained deep learning and face recognition models, text to speech module along with buzzer, ultrasonic sensors, camera, Raspberry Pi and Arduino boards with an approximate cost of Rs 5000-6000.
Social Science Research Network, 2019
This document provides additional data analysis for a laboratory experiment that assessed the use... more This document provides additional data analysis for a laboratory experiment that assessed the usefulness of two alternate product representations in so called SCOR thread diagrams (Leukel & Sugumaran 2018). Such diagrams are a form of supply chain process model, which represent the logic of product flow within a supply chain. The modeling grammar for thread diagrams is part of the Supply Chain Operations Reference (SCOR) model, which is the industry-standard for supply chain analysis. This supplement consists of the following parts: (1) Experimental design, (2) testing for order effects, and (3) correlation matrix.
Springer eBooks, Sep 1, 2016
This book constitutes the refereed proceedings of the Workshop on E-Business (WeB 2015), held in ... more This book constitutes the refereed proceedings of the Workshop on E-Business (WeB 2015), held in Fort Worth, Texas, USA, on December 12, 2015. The theme of WeB 2015 was Leveraging Service Computing and Big Data Analytics for E-Commerce, and thus the workshop provided an interactive forum by bringing together researchers and practitioners from all over the world to explore the latest challenges of next-generation e-Business systems and the potential of service computing and big data analytics. The 11 full and 17 short papers, which were selected from 45 submissions to the workshop, addressed a broad coverage of technical, managerial, economic, and strategic issues related to e-business, with emphasis on service computing and big data analytics. They employed various IS research methods such as case study, survey, analytical modeling, experiments, computational models, and design science.
Social Science Research Network, 2017
This document provides additional materials and data analysis that complement the laboratory expe... more This document provides additional materials and data analysis that complement the laboratory experiment described in the following article: Leukel, J.; Sugumaran, V.; Hubl, M. 2016. “The Role of Application Domain Knowledge in Using OWL DL Diagrams: A Study of Inference and Problem-Solving Tasks,” Proceedings of the 37th International Conference on Information Systems (ICIS 2016), Dublin, Ireland. This supplement consists of the following parts: 1. Tutorial, 2. Correlation matrix, 3. Test for learning effects. The purpose of the supplement is to enable researchers to fully replicate our experiment. Furthermore, the additional data analysis may help researchers to better comprehend and appraise the results reported in the main article.
International Conference on Information Systems, 2016
Diagrammatic conceptual schemas are an important part of information systems analysis and design.... more Diagrammatic conceptual schemas are an important part of information systems analysis and design. For effectively communicating domain semantics, modeling grammars have been proposed to create highly expressive conceptual schemas. One such grammar is the Web Ontology Language (OWL), which relies upon description logics (DL) as a knowledge representation mechanism. While an OWL DL diagram can be useful for representing domain semantics in great detail, the formal semantics of OWL DL places a burden on diagram users. This research investigates how user's prior knowledge of the application domain impacts solving inference tasks as well as schemabased problem-solving tasks using OWL DL diagrams. Our empirical validation shows that application domain knowledge has no effect on inference performance but enhances schema-based problem-solving performance. We contribute to the conceptual modeling literature by studying task performance for a highly expressive modeling grammar and introducing inference tasks as a new task type.
Uploads
Papers by Vijayan Sugumaran