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Srijan Goswami

Bio: Srijan Goswami is an academic researcher. The author has contributed to research in topics: Image segmentation & Feature detection (computer vision). The author has an hindex of 4, co-authored 11 publications receiving 116 citations.

Papers
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Journal ArticleDOI
01 Jul 2014
TL;DR: In this paper, a summary of all previous Rough-set based image segmentation methods are described in detail and also categorized accordingly to provide a stable and better framework forimage segmentation.
Abstract: In the domain of image processing, image segmentation has become one of the key application that is involved in most of the image based operations. Image segmentation refers to the process of breaking or partitioning any image. Although, like several image processing operations, image segmentation also faces some problems and issues when segmenting process becomes much more complicated. Previously lot of work has proved that Rough-set theory can be a useful method to overcome such complications during image segmentation. The Rough-set theory helps in very fast convergence and in avoiding local minima problem, thereby enhancing the performance of the EM, better result can be achieved. During rough-set-theoretic rule generation, each band is individualized by using the fuzzy-correlation-based gray-level thresholding. Therefore, use of Rough-set in image segmentation can be very useful. In this paper, a summary of all previous Rough-set based image segmentation methods are described in detail and also categorized accordingly. Rough-set based image segmentation provides a stable and better framework for image segmentation.

77 citations

Journal ArticleDOI
TL;DR: The ad hoc routing protocol's design has received a huge attention due to the unpredictable and rapid mobility of a node and the notion of the thresholds and the temporal extensions to Rough Sets was applied in several protocols.
Abstract: The ad hoc routing protocol's design has received a huge attention due to the unpredictable and rapid mobility of a node. It is created dynamically without any infrastructure. In ad hoc each node is responsible for routing the information between them. To improve the performance of unused information and to overcome the overhead in maintaining this information the protocols were designed. MANET (Mobile Ad hoc Network) is the collection of wireless mobile nodes which can dynamically form a network. By this definition we can conclude that there is no centralized administration, permanent topology and standard support services. Rough set theory is a computing technique to deal with uncertainty and vagueness. The notion of the thresholds and the temporal extensions to Rough Sets was applied in several protocols. The successful routing in MANETs using the Random Waypoint mobility model was based on various rough sets based protocol.

26 citations

BookDOI
03 Jun 2022

15 citations

Book ChapterDOI
01 Jan 2016
TL;DR: The combination of wireless body area network (WBAN) and mobile cloud computing (MCC) promises a better performance to the users immediately and is introduced in this chapter.
Abstract: This chapter introduces the combination of wireless body area network and mobile cloud computing in healthcare. The increased growth of low-power integrated circuits, physiological sensors and wireless communication has introduced a new generation of wireless sensor networks. Cloud computing is on high demand, whereas in case of mobile cloud computing the device is much more user friendly to manage the information. The combination of wireless body area network (WBAN) and mobile cloud computing (MCC) promises a better performance to the users immediately. It is more feasible to wire a sensor which performs the required medical tests and provides the information through devices like mobile phones and tablets. In this chapter, a theoretical study on the combination of WBAN and mobile cloud computing has been done.

11 citations

Journal ArticleDOI
TL;DR: This article was published in the Annual Research and Review in Biology [© 2017 Hossain et al.] and the definite version is available at : http://doi.org/10.9734/ARRB/2017/35692.
Abstract: This article was published in the Annual Research and Review in Biology [© 2017 Hossain et al.] and the definite version is available at : http://doi.org/10.9734/ARRB/2017/35692 The Journal's website is at: http://www.sciencedomain.org/abstract/20787

7 citations


Cited by
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Journal Article
TL;DR: In this article, the authors discuss evidence that copy-number variants affect phenotypes, directions for basic knowledge to support clinical study of CNVs, the challenge of genotyping CNPs in clinical cohorts, the use of SNPs as markers for CNPs and statistical challenges in testing CNVs for association with disease.
Abstract: The central goal of human genetics is to understand the inherited basis of human variation in phenotypes, elucidating human physiology, evolution and disease. Rare mutations have been found underlying two thousand mendelian diseases; more recently, it has become possible to assess systematically the contribution of common SNPs to complex disease. The known role of copy-number alterations in sporadic genomic disorders, combined with emerging information about inherited copy-number variation, indicate the importance of systematically assessing copy-number variants (CNVs), including common copy-number polymorphisms (CNPs), in disease. Here we discuss evidence that CNVs affect phenotypes, directions for basic knowledge to support clinical study of CNVs, the challenge of genotyping CNPs in clinical cohorts, the use of SNPs as markers for CNPs and statistical challenges in testing CNVs for association with disease. Critical needs are high-resolution maps of common CNPs and techniques that accurately determine the allelic state of affected individuals.

583 citations

Journal ArticleDOI
TL;DR: The basic concepts, operations and characteristics on the rough set theory are introduced, and then the extensions of rough set model, the situation of their applications, some application software and the key problems in applied research for the roughSet theory are presented.

185 citations

Journal ArticleDOI
TL;DR: In this paper, a novel chaotic bat algorithm (CBA) was proposed for multi-level thresholding in grayscale images using Otsu's between-class variance function.
Abstract: Multi-level thresholding is a helpful tool for several image segmentation applications Evaluating the optimal thresholds can be applied using a widely adopted extensive scheme called Otsu's thresholding In the current work, bi-level and multi-level threshold procedures are proposed based on their histogram using Otsu's between-class variance and a novel chaotic bat algorithm (CBA) Maximization of between-class variance function in Otsu technique is used as the objective function to obtain the optimum thresholds for the considered grayscale images The proposed procedure is applied on a standard test images set of sizes (512 × 512) and (481 × 321) Further, the proposed approach performance is compared with heuristic procedures, such as particle swarm optimization, bacterial foraging optimization, firefly algorithm and bat algorithm The evaluation assessment between the proposed and existing algorithms is conceded using evaluation metrics, namely root-mean-square error, peak signal to noise ratio, structural similarity index, objective function, and CPU time/iteration number of the optimization-based search The results established that the proposed CBA provided better outcome for maximum number cases compared to its alternatives Therefore, it can be applied in complex image processing such as automatic target recognition

178 citations

Journal ArticleDOI
TL;DR: An age-stratified mobility-based metapopulation model is developed that encapsulates the main particularities of the spreading of COVID-19 regarding its transmission among individuals, the specificities of certain demographic groups with respect to the impact of CO VID-19, and the human mobility patterns inside and among regions.
Abstract: On 31 December, 2019, an outbreak of a novel coronavirus, SARS-CoV-2, that causes the COVID-19 disease, was first reported in Hubei, mainland China This epidemics' health threat is probably one of the biggest challenges faced by our interconnected modern societies According to the epidemiological reports, the large basic reproduction number R-0 similar to 3 0, together with a huge fraction of asymptomatic infections, paved the way for a major crisis of the national health capacity systems Here, we develop an age-stratified mobility-based metapopulation model that encapsulates the main particularities of the spreading of COVID-19 regarding (i) its transmission among individuals, (ii) the specificities of certain demographic groups with respect to the impact of COVID-19, and (iii) the human mobility patterns inside and among regions The full dynamics of the epidemic is formalized in terms of a microscopic Markov chain approach that incorporates the former elements and the possibility of implementing containment measures based on social distancing and confinement With this model, we study the evolution of the effective reproduction number R(t), the key epidemiological parameter to track the evolution of the transmissibility and the effects of containment measures, as it quantifies the number of secondary infections generated by an infected individual The suppression of the epidemic is directly related to this value and is attained when R < 1 We find an analytical expression connecting R with nonpharmacological interventions, and its phase diagram is presented We apply this model at the municipality level in Spain, successfully forecasting the observed incidence and the number of fatalities in the country at each of its regions The expression for R should assist policymakers to evaluate the epidemics' response to actions, such as enforcing or relaxing confinement and social distancing

135 citations

Journal ArticleDOI
TL;DR: This article enriched the researches of the networked Medical Device (MD) systems to increase the efficiency and safety of the healthcare.
Abstract: Medical cyber-physical systems (MCPS) are healthcare critical integration of a network of medical devices. These systems are progressively used in hospitals to achieve a continuous high-quality healthcare. The MCPS design faces numerous challenges, including inoperability, security/privacy, and high assurance in the system software. In the current work, the infrastructure of the cyber-physical systems (CPS) are reviewed and discussed. This article enriched the researches of the networked Medical Device (MD) systems to increase the efficiency and safety of the healthcare. It also can assist the specialists of medical device to overcome crucial issues related to medical devices, and the challenges facing the design of the medical device's network. The concept of the social networking and its security along with the concept of the wireless sensor networks (WSNs) are addressed. Afterward, the CPS systems and platforms have been established, where more focus was directed toward CPS-based healthcare. The big data framework of CPSs is also included.

134 citations