Research

Publications Archive 2013

Select Research Publications from the research community for the year 2013.  

 

  • Human Behavioural Modeling for Enhanced Software Project Management, Athavale S, et al
  • MOWL: An Ontology Representation Language for Web based Multimedia Applications,
    Anupama Mallik, et al
  • A Density Based Method for Automatic Hairstyle Discovery and Recognition, Jyotikrishna Dass, et al
  • An Ontology based Personalized Garment Recommendation System, Stuti Ajmani, et al
  • Watts in the Basket? – Energy Analysis of a Retail Chain, Shiva R Iyer, et al,
  • In silico analysis of antibiotic resistance genes in the gut microflora of individuals from diverse geographies and age-groups, Tarini Shankar Ghosh, et al,
  • Exploring Qualitative Probabilistic Networks for Knowledge Modeling in Cognitive Wireless Networks, Balamuralidhar.P
  • Adapting protocol characteristics of CoAP using sensed indication for vehicular analytics
    S Bandyopadhyay, et al
  • A Joint Local-Global Technique for Wireless Mobile Network Planning and Optimization,
    Hemant Kumar Rath, et al
  • Book - 'The Intelligent Web: Search, Smart Algorithms, and Big Data', Gautam Shroff
  • EEG Signal Processing and Classification for Brain Computer Interfacing (BCI) Applications- Amit Konar,Jadavpur University,  et al
  • Understanding the sequential activation of Type III and Type VI Secretion Systems in Salmonella typhimurium using Boolean modeling - Chandrani Das, et al
  • Community-Analyzer: A platform for visualizing and comparing microbial community structure across microbiomes - Kuntal Kumar Bhusan, et al
  • I-rDNA and C16S: Identification and classification of ribosomal RNA gene fragments -  Sharmila S Mande, et al
  • Software Platforms for Internet of Things and M2M - P. Balamuralidhar, et al
  • A reconfigurable Upper Audio Band Modem for Data Communication Between Mobile Devices - Rahul Sinha, et al 
  • The Energy-Water Nexus in Campuses - Jamsheeda Kadengal, et al
  • A Robust Heart Rate Detection Using Smart-phone Video - Arpan Pal, et al
  • Tight Analysis of Shortest Path Convergecast in Wireless Sensor Networks  - John Augustine, Qi Han, Philip Loden, Sachin Lodha et al
  • Data Privacy - Sachin Lodha
  • Socio-Business Intelligence Using Big Data - Gautam Shroff et al
  • Data Privacy using Masketeer - Sachin Lodha et al
  • Book Title - “Molecular Modeling for the Design of Novel Performance Chemicals and Materials” Edited by Dr Beena Rai
  • Knowledge Assisted Ontology Based Requirements Evolution, an important book chapter from Managing Requirements Knowledge - Smita Ghaisas et al
  • 'What Affects Me?' A Smart Public Alert System Based on Stream Reasoning - Snehasis Banerjee et al
  • Software Defined Radio Based on Upper Audio Band for low data rate communication over short distances - Rahul Sinha et al
    •  

      Human Behavioural Modeling for Enhanced Software Project Management,
      Authors: Athavale S, Balaraman V
      CONSEG 2013.

      Abstract:

      Despite  advances  in  technology  and  the  growing  maturity  of processes, software project outcomes are still high ly dependent on the  performance  of  members  in  the  software  project team.  The individual  and  team performance  is  based  on  human  aspects  – cognitive, psychological and sociological, apart from the enablers such as infrastructure and the environment.  Project  managers  need  tools  that  factor  in  human  aspects  for improved  software  project  planning  and  management.  It  will enable  them  to  take  preventive  actions  or  make  interventions  to reduce  the  uncertainty  of  project  outcomes  and  increase  the likelihood of project success.


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      MOWL: An Ontology Representation Language for Web based Multimedia Applications.
      Authors: Anupama Mallik, Hiranmay Ghosh, Gaurav Harit and Santanu Chaudhury.
      ACM Transactions of Multimedia Computing, Communications and Applications (TOMCCAP). 10(1). December 2013.

      Abstract:

      Several multimedia applications need to reason with concepts and their media properties in specific domain contexts. Media properties of concepts exhibit some unique characteristics that cannot be dealt with conceptual modeling schemes followed in the existing ontology representation and reasoning schemes. We have proposed a new perceptual modeling technique for reasoning with media properties observed in multimedia instances and the latent concepts. Our knowledge representation scheme uses a causal model of the world where concepts manifest in media properties with uncertainties. We introduce a probabilistic reasoning scheme for belief propagation across domain concepts through observation of media properties. In order to support the perceptual modeling and reasoning paradigm, we propose a new ontology language, Multimedia Web Ontology Language (MOWL). Our primary contribution in this article is to establish the need for the new ontology language and to introduce the semantics of its novel language constructs. We establish the generality of our approach with two disperate knowledge-intensive applications involving reasoning with media properties of concepts.

        


       

      A Density Based Method for Automatic Hairstyle Discovery and Recognition.
      Authors:Jyotikrishna Dass, Monika Sharma, Ehtesham Hassan and Hiranmay Ghosh.
      National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics. India, Dec 18-21, 2013

      Abstract:
      This paper presents a novel method for discovery and recognition of hairstyles in a collection of colored face images. We propose the use of Agglomerative clustering for automatic discovery of distinct hairstyles. Our method proposes automated approach for generation of hair, background and face-skin probability-masks for different hairstyle category with-out requiring manual annotation. The probability-masks based density estimates are subsequently applied for recognizing the hairstyle in a new face image. The proposed methodology has been verified with a synthetic dataset of approximately thousand images, randomly collected from the Internet.

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      An Ontology based Personalized Garment Recommendation System.
      Authors: Stuti Ajmani, Hiranmay Ghosh, Anupama Mallik and Santanu Chaudhury
      Workshop on Personalization, Recommender Systems and Social Media. Web Intelligence. USA, Nov 17-20, 2013.

      Abstract:
      We present a novel method for content-based recommendation of media-rich commodities using probabilistic multimedia ontology. The ontology encodes subjective knowledge of experts that enables interpretation of media based and semantic product features in context of domain concepts. Our recommendation is based on semantic compatibility between the products and user profile in context of use. We use probabilistic knowledge representation and reasoning framework to achieve robust and flexible results. The approach has been validated with fashion preferences of several individuals with a large collection of Sarees, an ethnic dress for women in Indian subcontinent.

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      Watts in the Basket? – Energy Analysis of a Retail Chain
      Authors : Shiva R Iyer, Venkatesh Sarangan, Arunchandar Vasan, and Anand Sivasubramaniam.

      Abstract:
      This paper talks about the various data driven analytics and the associated insights one could derive from the energy consumption logs of a group of facilities.  The analytics and insights are discussed in the context of logs obtained from 200 stores of a retail chain.

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      In silico analysis of antibiotic resistance genes in the gut microflora of individuals from diverse geographies and age-groups.
      Authors: Tarini Shankar Ghosh, Sourav Sen Gupta, G Balkrish Nair and Sharmila S Mande
      PLoS ONE 8(12): e83823 (2013)

      Abstract:
      The spread of antibiotic resistance, originating from the rampant and unrestrictive use of antibiotics in humans and livestock over the past few decades has emerged as a global health problem. This problem has been further compounded by recent reports implicating the gut microbial communities to act as reservoirs of antibiotic resistance. We have profiled the presence of probable antibiotic resistance genes in the gut flora of 275 individuals from eight different nationalities. For this purpose, available metagenomic data sets corresponding to 275 gut microbiomes were analyzed. Sequence similarity searches of the genomic fragments constituting each of these metagenomes were performed against genes conferring resistance to around 240 antibiotics. Potential antibiotic resistance genes conferring resistance against 53 different antibiotics were detected in the human gut microflora analysed in this study.

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      Exploring Qualitative Probabilistic Networks for Knowledge Modeling in Cognitive Wireless Networks
      Author: Balamuralidhar.P
      (International Conference on Wireless Communications and Mobile Computing, IWCMC-2013, Cagliari)

      Abstract:
      The suitability of using Qualitative Probabilistic Networks (QPN) for knowledge modeling and inference in Cognitive Wireless Networks is studied in this paper. This can be considered as a light weight approach compared to the complexity associated with the use of Bayesian Networks. This study brings out the advantages and issues involved in using QPN for modeling the dynamic behavior of wireless networks. Application and limitations of using QPN is illustrated with the modeling of a cognitive radio link and subsequently its performance while driving a link adaptation. The same methodology is extendable to model network layer behaviors as well.

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      Adapting protocol characteristics of CoAP using sensed indication for vehicular analytics
      Authors: S Bandyopadhyay, A Bhattacharyya, A Pal
      (Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, 2013)

      Abstract:
      In this paper we present a unique approach to make use of CoAP (Constrained Application Protocol) from IETF (Internet Engineering Task Force) in a situation aware mode. The protocol adapts its characteristic for resource optimization depending on the indication inferred from sensed data. We consider a use-case for vehicular telemetry using a constrained in-vehicle sensor gateway which posts the vehicular information (accelerometer, GPS, device-identifier, time). In this use-case bandwidth usage is the main concern for the sensor gateway whereas usage of power which is directly impacted by overall bandwidth consumption is a key factor in case of mobile phone used as sensor gateway. We have reduced communication cost and optimized resource usage in terms of energy and bandwidth which are essential for any constrained sensor gateway by adapting characteristics of CoAP as mentioned above. The improvements are established by analyzing the data captured in real field.

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      A Joint Local-Global Technique for Wireless Mobile Network Planning and Optimization
      Authors: Hemant Kumar Rath, K N R Surya Vara Prasad, Vishvesh Revoori, and Anantha Simha

      Abstract:
      With the exponential growth in the number of mobile subscribers and applications, optimal allocation of limited resources such as bandwidth,  power, code, time slot, etc., become necessary. To achieve this, the Telecom Operators need to improve the usage of their existing deployment as well as to plan for appropriate capacity. This can be realized through optimal Radio Frequency (RF) planning, deployment of Base Stations (BSs) and determination of appropriate network parameters. Since optimal RF planning and optimization is an NP-hard complex problem, we propose a simple and robust joint optimization technique using Clustering and Cooperative Game Theory approaches. Ours is a practical, easy to use, less complex real-time solution. This can not only improve the network coverage with desired Quality of Experience, but also can reduce the CAPEX and OPEX of the telecom operators. We demonstrate the usability of our solution through two different use cases and suggest that it can be used for planning new networks and optimizing existing networks.

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      Book - 'The Intelligent Web: Search, Smart Algorithms, and Big Data'
      Published by Oxford University Press, U.K, Nov 2013
      Author: Gautam Shroff

      Abstract:
      As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion. These are just basic examples of the growth of "Web intelligence", as increasingly sophisticated algorithms operate on the vast and growing amount of data on the web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the web grows ever larger and more interconnected.

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      The tutorial "EEG Signal Processing and Classification for Brain Computer Interfacing (BCI) Applications" (T8)

      The tutorial has been accepted at IEEE International  Conference on Acoustics Speech and Signal Processing,( ICASSP 2014). The conference will be held in Florence, Italy between May 04-09, 2014.
      Speakers: Amit Konar (Jadavpur University), Fabien Lotte (INRIA-Bordeaux Sud-Ouest), Arijit Sinharay (TCS Innovation Labs, Kolkata)

      Abstract:

      Brain-Computer Interfacing (BCI) provides an intelligent channel of communication between the human brain and a computer with an ultimate aim to control brain-states using artificially generated stimuli and/or to decode brain states involving attention, perception, motor imagination or any other cognitive functioning. ElectroEncephaloGraphy (EEG) is particularly interesting for picking up brain signals because of its non-invasive nature and portability. This tutorial aims at presenting the current state-of-the art research direction in EEG signal processing and classification techniques for various BCI applications.

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      Understanding the Sequential Activation of Type III and Type VI Secretion Systems in Salmonella Typhimurium using Boolean modeling
      (Gut Pathogens, 5:28. DOI: 10.1186/1757-4749-5-28 (2013))
      Authors: Chandrani Das, Anirban Dutta, Hannah Rajasingh and Sharmila S Mande

      Abstract:

      Three pathogenicity islands, viz. SPI-1 (Salmonella pathogenicity island 1), SPI-2 (Salmonella pathogenicity island 2) and T6SS (Type VI Secretion System), present in the genome of Salmonella typhimurium have been implicated in the virulence of the pathogen. While the regulation of SPI-1 and SPI-2 (both encoding components of the Type III Secretion System - T3SS) are well understood, T6SS regulation is comparatively less studied. Interestingly, inter-connections among the regulatory elements of these three virulence determinants have also been suggested to be essential for successful infection. However, till date, an integrated view of gene regulation involving the regulators of these three secretion systems and their cross-talk is not available.

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      Community-Analyzer: A platform for Visualizing and Comparing Microbial Community Structure across Microbiomes
      (Genomics, Aug 24. pii: S0888-7543(13)00176-6. doi: 10.1016/j.ygeno.2013.08.004. [Epub ahead of print] (2013))
      Authors: Kuntal Kumar Bhusan, Tarini Shankar Ghosh and Sharmila S  Mande 

      Abstract:

      A key goal in comparative metagenomics is to identify microbial group(s) which are responsible for conferring specific characteristics to a given environment. These characteristics are the result of the inter-microbial interactions between the resident microbial groups. We present a new GUI-based comparative metagenomic analysis application called Community-Analyzer which implements a correlation-based graph layout algorithm that not only facilitates a quick visualization of the differences in the analyzed microbial communities (in terms of their taxonomic composition), but also provides insights into the inherent inter-microbial interactions occurring therein. Notably, this layout algorithm also enables grouping of the metagenomes based on the probable inter-microbial interaction patterns rather than simply comparing abundance values of various taxonomic groups. In addition, the tool implements several interactive GUI-based functionalities that enable users to perform standard comparative analyses across microbiomes.

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      I-rDNA and C16S: Identification and Classification of Ribosomal RNA Gene Fragments
      (Nelson K. (Ed.) Encyclopedia of Metagenomics, 10.1007/SpringerReference_312262 (2013))
      Authors: Sharmila S Mande, Tarini Shankar Ghosh, Monzoorul Haque Mohammed 

      Abstract:
      Recent advances in high-throughput sequencing technologies have enabled life-science researchers to rapidly sequence and characterize the entire genomic content of microbial communities residing in diverse ecological niches. A key advantage of characterizing microbial communities in this fashion is that it enables the concomitant characterization of several microbes (constituting the community), most of which cannot be studied using traditional culture-based genomic...
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      Software Platforms for Internet of Things and M2M
      Authors: P Balamuralidhar, Prateep Misra, Arpan Pal

      Abstract:

      The technologies and applications consolidated under the vision of Internet of Things (IoT) and Machine to Machine Communications (M2M) are attracting the interest of businesses and poised to trigger next disruption in Information & Communication Technology (ICT) applications. The domain specific solutions involving sensors, mobile phones and other devices are maturing to integrate in a generic ICT services paradigm. Architecture for a unified horizontal services platform is emerging. This paper surveys important trends, key requirements, evolving technologies and emerging solutions for such a software platform for IoT and M2M services.

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      A reconfigurable Upper Audio Band Modem for Data Communication Between Mobile Devices
      Authors: Rahul Sinha, P. Balamuralidhar, Rajeev M. Bhujade

      Abstract:

      For communicating short data sequences over small distances, the use of devices with conventional wireless radio frequency interfaces requires standardized hardware, dedicated infrastructure and appropriate Link/ Network layer protocols. To address challenges associated with these requirements, a communication mechanism using devices which support simple audio interfaces (speakers and microphones) is proposed using the upper audio band (UAB) of frequencies (16–20 kHz). Devices with audio interfaces can be deployed in a personal area network for communicating at low data rates over small distances. Multi-tone FSK modulation is used for transmitting Reed–Solomon encoded data over the UAB. For peer-to-peer communication applications, a sensing mechanism is enabled on the receiving device to sense for empty time–frequency slots and schedule its data transmission at the appropriate times. A system prototype is developed using portable speakers and smartphones with sensitive microphones. The effective throughput of the modem is evaluated for different sensing durations and distances. Ad-hoc peer-to-peer networks can be enabled between mobile devices for communicating short data sequences based on the UAB modem.

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      The Energy-Water Nexus in Campuses 

      Authors: Jamsheeda Kadengal, Sivabalan Thirunavukkarasu, Arunchandar Vasan, Venkatesh Sarangan,
      Anand Sivasubramaniam

      Abstract:

      Water is a critical index of an organization’s sustainability. Since water reuse consumes energy, water management requires careful analysis of energy implications. To this end, we study the energy-water nexus in a multi-building campus with a water delivery network that spans multiple grades (such as potable, reclaimed sewage, etc). Using data collected over several months, we answer these questions: (i) What are the trade-offs between the external water footprint of a campus and its internal energy footprint of water? (ii) Are improvements in either footprint realizable in practice? (iii) Does reducing the consumption of one water grade have more impact on the energy consumption than other water
      grades? (iv) Does rainwater harvesting help reduce a facility’s energy footprint?

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      A Robust Heart Rate Detection Using Smart-Phone Video

      Authors: Arpan Pal, Aniruddha Sinha, Anirban Dutta Choudhury, Tanushyam Chattopadyay, Aishwarya Visvanathan  

      Abstract:

      In this paper, the authors have presented a smartphone based robust heart rate measurement system. The system requires the user to place the tip of his/her index finger on the lens of a smart phone camera, while the flash is on. The captured video signal often contains noise generated due to (i) improper finger placement, (ii) imparting excessive pressure, which subsequently blocks normal blood circulation and (iii) movement of the fingertip. To mitigate the above issues, a two stage approach has been proposed. Firstly, the onset of good video signal is detected by formulating a finite state machine, which employs multiple window short time fast fourier transform. Only upon receiving sufficient acceptable video signal, the heart rate is computed. Results indicate that the proposed method has successfully identified and rejected noisy video signal, resulting in avoidance of erroneous output.

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      Tight Analysis of Shortest Path Convergecast in Wireless Sensor Networks
      (International Journal of Foundations of Computer Science, 24(1):31-50, 2013)  Authors: John Augustine, Qi Han, Philip Loden, Sachin Lodha and Sasanka Roy

       

      Abstract:
      We consider the convergecast problem in wireless sensor networks where each sensor has a reading that must reach a designated sink. Since a sensor reading can usually be encoded in a few bytes, more than one reading can readily fit into a standard transmission packet. We assume that each packet hop consumes one unit of energy. Our objective is to minimize the total energy consumed to send all readings to the sink. We show that this problem is NP-hard even when all readings are of fixed size. We then study a class SPEP of distributed algorithms that is completely defined by two properties. Firstly, the packets hop along some shortest path to the sink. Secondly, the nodes use an elementary packing algorithm to pack readings into packets.

      Preliminary version of this work appeared in the proceedings of CATS 2011.

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      Data Privacy

      Authors: Sachin Lodha
      Abstract:
      In the state of Maharashtra there is a pilgrimage place called Shingnapur, which is well known for its popular temple of Shani, the Hindu god of the planet Saturn. This village is also famous for the fact that no house in the village has doors, but only door frames.

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      Socio-Business Intelligence Using Big Data

      Authors: Gautam Shroff, Lipika Dey and Puneet Agarwal
      Abstract:
      We describe how the fusion of social and business intelligence is defining the next-generation of business analytics applications using a new AI-driven information management architecture that is based on big-data technologies and new data sources available from social media. 

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      Data Privacy Using Masketeer
      (In Proceedings of the 9th International Colloquium on Theoretical Aspects of Computing, 2012, LNCS 7521, pp. 151–158)

      Authors: Sachin Lodha, Nikhil Patwardhan, Ashim Roy, Sharada Sundaram and Dilys Thomas
      Abstract:

      Advances in storage, networks, and hardware technology have resulted in an explosion of data and given rise to multiple sources of overlapping data. This, combined with general apathy towards privacy issues while designing systems and processes, leads to frequent breaches in personal identity and data security. What makes this worse is that many of these breaches are committed by the legitimate users of the data. Major countries like the U.S., Japan, Canada,Australia and EU have come up with strict data distribution laws which demand their organizations to implement proper data security measures that respect personal privacy and prohibit dissemination of raw data outside the country.

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      Book Title - “Molecular Modeling for the Design of Novel Performance Chemicals and Materials”

      Edited by Beena Rai

      Abstract:
      Molecular modeling (MM) tools offer significant benefits in the design of industrial chemical plants and material processing operations. While the role of MM in biological fields is well established, in most cases MM works as an accessory in novel products/materials development rather than a tool for direct innovation. As a result, MM engineers and practitioners are often seized with the question: "How do I leverage these tools to develop novel materials or chemicals in my industry?"

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      Knowledge Assisted Ontology Based Requirements Evolution, a Book Chapter in  Managing Requirements Knowledge
      Authors: Smita Ghaisas and Nirav Ajmeri
      (Ed. Springer, In Press, Due May 31, 2013, ISBN 978-3-642-34418-3)

      Abstract:

      This book discusses systematic means for managing requirements knowledge and its owners as valuable assets. It focuses on potentials and benefits of “lightweight,” modern knowledge technologies such as semantic Wikis, machine learning, and recommender systems applied to requirements engineering. The 17 chapters are authored by some of the most renowned researchers in the field, distilling the discussions held over the last five years at the MARK workshop series. They present novel ideas, emerging methodologies, frameworks, tools and key industrial experience in capturing, representing, sharing, and reusing knowledge in requirements engineering.

      While the book primarily addresses researchers and graduate students, practitioners will also benefit from the reports and approaches presented in this comprehensive work.

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      ‘What Affects Me?' A Smart Public Alert System Based on Stream Reasoning 
      Authors: Snehasis Banerjee, Debnath Mukherjee, Prateep Misra
      Conference IMCOM 2013

      Abstract:

      Public alert services is gradually becoming popular in smart cities because this enhances the awareness of the citizen about activities within the city. Such a service also ensures the safety and security of the citizens. However the state of the art lacks in providing real-time alerts in a personalized, context-aware fashion utilizing the combined knowledge about the city, its events and its citizens. In this paper, a solution architecture is presented that uses stream reasoning as its backbone which suits the domain of a public alert system very well. The stream reasoner uses rule-based reasoning and queries. The rules are designed as atomic concepts.

      A fully functional prototype of the proposed system was developed and tested on data of a smart city. The experimental results support that the proposed methodology is very effective. 

      Read the full paper   

       

      Software Defined Radio Based on Upper Audio Band for Low Data Rate Communication over Short Distances
      Authors: Rahul Sinha, Rajeev B, Balamuralidhar P
      Conference: WinnComm 2013 Conference (Washington)
      (This paper has been tagged the Best in R&D Track at the WinnComm 2013 Conference (Washington)

      Abstract:

      For communicating short data sequences over small distances, the use of devices with conventional RF interfaces requires standardized hardware, dedicated infrastructure and appropriate Link/Network layer protocols. To address challenges associated with these requirements, a communication mechanism using devices which support simple audio interfaces (speakers and microphones) is proposed using the upper audio band (UAB) of frequencies (16-20KHz). Devices with audio interfaces can be deployed in a personal area network for communicating at low data rates over small distances. Multi-tone FSK modulation is used for transmitting Reed-Solomon encoded data over the UAB. For peer-to-peer communication applications, a sensing mechanism is enabled on the receiving device to sense for empty time-frequency slots and schedule its data transmission at the appropriate times. A system prototype is developed using portable speakers and smartphones with sensitive microphones. The effective throughput of the modem is evaluated for different sensing durations and distances. Ad-hoc peer-to-peer networks can be enabled between mobile devices for communicating short data sequences.

       

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