S. Ghosh

University of Louisiana at Lafayette, Lafayette, Louisiana, United States

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Publications (4)2.8 Total impact

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    ABSTRACT: Extending the wireless sensor network's lifetime has been the aim of several research efforts. Distributed in-network processing arises as a viable solution to extend the network's lifetime. It avoids assigning heavy computations to a single node which might otherwise lead to its significant energy depletion. Task scheduling and allocation play a major role in the efficiency of the distribution. This work proposes EBSEL, an energy-balancing task scheduling and allocation heuristic whose main purpose is to extend the network's lifetime, through energy balancing. Balancing the energy consumption among the nodes can help avoid the disintegration of the network where some nodes die unnecessarily, while others still have high energy reserve. EBSEL was extensively simulated on random task graphs and on a task graph of a real-world application. Compared to related work, EBSEL achieved more than 50% increase in lifetime and up to 5% energy savings per iteration.
    Circuits and Systems (MWSCAS), 2010 53rd IEEE International Midwest Symposium on; 09/2010
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    ABSTRACT: This paper presents a bottom-up tracking algorithm for surveillance applications where speed and reliability in the case of multiple matches and occlusions are major concerns. The algorithm is divided into four steps. First, moving objects are detected using an accurate hybrid scheme with selective Gaussian modeling. Simple object features balancing speed, reliability, and complexity are then extracted. Objects are matched based on their spatial proximity and feature similarity. Finally, correspondence voting solves multiple match conflicts, segmentation errors, and occlusion cases. This approach is very simple, which makes it suitable for implementation at smart surveillance visual sensing nodes. Moreover, the simulation results demonstrate its robustness in detecting occlusions and correcting segmentation errors without any prior knowledge about the objects models or constraints on the direction of their motion.
    Image Processing (ICIP), 2009 16th IEEE International Conference on; 12/2009
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    ABSTRACT: Not Available
    IEEE Circuits and Systems Magazine 09/2008; · 1.67 Impact Factor
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    ABSTRACT: To study the hematologic and immunophenotypic profile of 260 cases of acute myeloid leukemia at diagnosis. This is a retrospective analysis of 260 cases of AML diagnosed at our institution between 1998 and 2000. Diagnosis was based on peripheral blood and bone marrow examination for morphology cytochemistry and immunophenotypic studies. SPSS software package, version 10, was used for statistical analysis. Seventy-six percent of our cases were adults. The age of the patients ranged from one year to 78 years with a median age of 27.2 years. There were 187 males and 73 females. The commonest FAB subtype, in both children and adults, was AML-M2. The highest WBC counts were seen in AML-M1 and the lowest in AML-M3 (10-97 x 10(9)/L, mean 53.8 x 10(9)/L). The mean values and range for hemoglobin was 6.8 gm/l (1.8 gm/l to 9.2 gm/l), platelet count 63.3 x 10(9)/L (32-83 x 10(9)/L), peripheral blood blasts 41.4% (5 to 77%) and bone marrow blasts 57.6% (34-96%). Myeloperoxidase positivity was highest in the M1, M2 and M3 subtypes. CD13 and CD33 were the most useful markers in the diagnosis of AML. CD14 and CD36 were most often seen in monocytic (38%) and myelomonocytic (44%) leukemias. Lymphoid antigen expression was seen in 15% of cases. CD7 expression was the commonest (11%). AML accounted for 39.8% of all acute leukemias at this institution. The most common subtype was AML-M2. Myeloperoxidase stain was a useful tool in the diagnosis of myeloid leukemias. CD13 and CD33 were the most diagnostic myeloid markers.
    Indian Journal of Cancer 40(2):71-6. · 1.13 Impact Factor