2,614 research outputs found

    Video Mining using LIM Based Clustering and Self Organizing Maps

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    AbstractVideo mining has grown as an energetic research area and given incremental concentration in recent years due to impressive and rapid raise in the volume of digital video databases. The aim of this research work is to find out new objects in videos. This work proposes a novel approach for video mining using LIM based clustering technique and self organizing maps to recognize novelty in the frames of video sequence. The proposed work is designed and implemented on MATLAB. It is tested with the sample videos and provides promising results. And it is suitable for day to day video mining applications and object detection systems including remote video surveillance in defense for national and international border tracking

    Squilloides leptosquilla, a deepsea stomatopod landed at Kalamukku Fishing Harbour, Kochi

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    The mantis shrimp, Squilloides leptosquilla (Brooks, 1886) was obtained from deepsea trawl operations along with the deepsea shrimps, Plesionika spinipes, Heterocarpus gibbosus and Metapenaeopsis andamanensis from the Kalamukku Fishing Harbour during September, 2008

    A Hybrid of Improved Bulls and Weighted Round Robin to optimize the Leader and Load Balancing in Cloud and Distributed Computing Environment

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    Day by Day there is increase of internet users which leads to increase the traffic in the network which causing the generation of huge data. It requires the balancing of network load on the network servers with different Load balancing techniques. It is also required to have efficient algorithm to analysis the huge data in distributed manner to identify the leader to act as centralized point of contact for services. If we audit on the heap adjusting systems, there are a few potential outcomes to upgrade the methods. In the present scenario, we have the methods, round robin algorithm (static load adjusting), Weighted Round Robin algorithm and Least Load algorithm (Dynamic Load Balancing). A researcher D. Chitra Devi .et .al has given the idea of enhanced weighted round robin algorithm (EWRR) which gives much better reaction when contrasted with basic round robin calculation. Another scholar Rashmi Saini et. al recommended the half breed of round robin calculation and minimum Load Algorithm. From the above scholars� articles, I hereby propose a resolution by improved Bulls algorithm along with Weighted Round Robin (WRR) algorithm to achieve high performance in Distributed and Cloud Computing domain in terms of leader election from a group of distributed and non-failed processes, load balancing dynamically and coordinate other nodes. Bulls algorithm uses the following message types: � Election Message: Sent to announce election. � Answer (Alive) Message: Responds to the Election message. � Coordinator (Victory) Message: Sent by winner of the election to announce victory. When coordinator fails to recover a process P, from failure or detecting before failure, the process P performs the following actions: 1. If P has the highest process id, it sends a Victory message to all other processes and becomes the new Coordinator. Otherwise, P broadcasts an Election message to all other processes with higher process IDs than itself. 2. If P does not receive any Election message, then it broadcasts a Victory message to all other processes and becomes the Coordinator. 3. If P receives an Answer from a process with a higher ID, it sends no further messages for this election and waits for a Victory message. When there is no Victory message after a stipulated period, it restarts the process from the beginning. 4. If P receives an Election message from another process with a lower ID it sends an Answer message back and starts the election process at the beginning, by sending an Election message to higher-numbered processes. 5. If P receives a Coordinator message, it treats the sender as the coordinator

    Satisfaction and maternal postnatal adjustments following different modes of delivery

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    Background: Childbirth has a profound influence in a women’s life. One factor that has been more consistently identified as influencing the women’s physical and psychological symptoms following childbirth is the mode of birth.  This study aims at figuring out on women’s satisfaction with their mode of delivery and what difficulties they faced in the immediate postnatal period accordingly.Methods: All women who delivered between the period 1st July 2019 to 1st August 2019 were interviewed with a pretested semi structured questionnaire on postnatal day two. Patient was asked how much they were satisfied with their mode of delivery, immediate postnatal adjustments like ambulation, holding the baby first time, initiation of breastfeeding and pain score following different modes of delivery. The data was analysed to find out which mode of delivery made women more comfortable in the immediate postnatal period.Results: A total 97.1% women were satisfied with the support they got from health care professionals during labour. But when compared, spontaneous vaginal delivery group were satisfied with their mode of delivery (P-value-0.0005 highly significant) than the rest. Women who had vaginal delivery were ahead of caesarean group in terms of ambulation, holding the baby, initiation of breastfeeding and were well adjusted in their postnatal period.Conclusions: Authors conclude that women in our study were more satisfied with spontaneous vaginal delivery than caesarean section which was reflected in their immediate postnatal adjustments. As obstetricians’ authors need to understand the empowering effects of the psychological experience of vaginal delivery. The benefits of this process can be maximized through good communication skills and emotional support for women, enhancing their confidence to deliver normally so that caesarean section is done only when really indicated

    Empirical Methods to Estimate Burn Rate Scale up Factor from Sub scale to Full Scale Solid Rocket Motors

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    Two empirical methods to estimate the burn time of full scale motors (FSMs) are presented. The static test data of sub-scale motors and other FSMs provide the necessary input for the use of these methods. The applicability of these methods was verified by comparing the predicted values with actual values which were found to match closely. Advantages and disadvantages of each method are discussed

    Liquid-mesophase-solid transitions: systematics of a density-wave theory

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    The density-wave theory of Ramakrishnan and Yussouff is used to study phase transitions between liquid, liquid-crystalline, and crystalline phases. The different phases considered are liquid, nematic, smectic, discotic, bcc plastic crystal, orientationally ordered bcc, and a new incommensurate bcc crystal with orientational order. The direct correlation function, required as an input for the theory, is expressed approximately in terms of five generalized Fourier coefficients. The theory is then used to obtain sections through the phase diagram in the five-dimensional space of these coefficients. Simple approximations for the direct correlation function of hard ellipsoids of revolution are used to compare these phase diagrams with those obtained from experiments and numerical simulations. Molecular-field theories of smectic and discotic ordering are reexamined, and, given the potentials they use, it is shown that an orientationally ordered bcc crystal has a lower free energy than either the smectic or the discotic phase. The conditions required to stabilize smectic and discotic phases are examined

    First record of the reef lobster Enoplometopus macrodontus Chan and Ng, 2008 from Indian waters

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    The reef lobster Enoplometopus macrodontus was caught during the deep sea trawl operations off Chavakkad from a depth of 320 m. About ten specimens were landed at the Kalamukku Fishing Harbour, Kochi. The carapace length was 66-75 mm and weight was 79.3-94.2 g. This is the first report of the species in the Indian waters. The species has a smooth carapace with hair on the abdomen, chelipeds and telson. The morphological characters along with colour pattern are describe

    Study of seasonal incidence and impact of abiotic factors on sucking pests of brinjal

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    The present investigation was undertaken to find the impact of abiotic factors on seasonal incidence and sucking pest complex of brinjal under field conditions during kharif 2015-2016. The incidence of leaf hopper population (2.80 Lh/L i.e., Leaf hopper mean population/leaf) was noticed during 34th standard week and reached peak by 40th standard week (5.00 Lh/L) (October) whereas the aphid population was noticed during the 34th standard week (3.00 Lh/L) and peak population observed during the 40th standard week (4.60 Lh/L) (October). Correlation studies showed that among the various abiotic factors, maximum temperature showed highly significant positive correlation (r= 0.77) and sunshine hours (r = 0.61) showed significant positive correlation with the leaf hopper population. In case of aphid population, maximum temperature showed significant positive correlation (r = 0.70), rainfall showed highly significant negative correlation (r = -0.74) and relative humidity evening (r = -0.59) showed significant negative correlation with aphid population. The present investigations will give a brief idea about how the abiotic factors influencing the sucking pests of brinjal
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