Informatics Publishing Limited

T. M. Balakrishnan Nair ¹, P. G. Remya ¹, R. Harikumar ¹, K. G. Sandhya ¹, P. Sirisha ¹, K. Srinivas ¹, C. Nagaraju ¹, Arun Nherakkol ¹, B. Krishna Prasad ¹, C. Jeyakumar ¹, K. Kaviyazhahu ¹, N. K. Hithin ¹, Rakhi Kumari ¹, V. Sanil Kumar ², M. Ramesh Kumar ¹, S. S. C. Shenoi ¹, Shailesh Nayak ³

Affiliations
1 Information Services and Ocean Sciences Group, ESSO-Indian National Centre for Ocean Information Services, 'Ocean Valley', Pragathi Nagar (BO), Nizampet (SO), Hyderabad 500 090, IN
2 CSIR-National Institute of Oceanography, Dona Paula, Goa 403 004, IN
3 Earth System Science Organization, New Delhi 110 003, IN

Abstract

Wave fields, both measured and forecast during the very severe cyclone Phailin, are discussed in this communication. Waves having maximum height of 13.54 m were recorded at Gopalpur, the landfall point of the cyclone. The forecast and observed significant wave heights matched well at Gopalpur with correlation coefficient of 0.98, RMS e rror of 0.35 m and scatter index of 14%. Forecasts were also validated in the open ocean and found to be reliable (scatter index < 15%). The study also revealed the presence of Southern Ocean swells with a peak period of 20-22 sec hitting Gopalpur coast along with the cyclone-generated waves.

Keywords

Buoys, Phailin, Tropical Cyclone, Swell, Wave Forecast.

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Shahana Bano ¹, M. S. Prasad Babu ², C. NagaRaju ³

Affiliations
1 Department of C.S.E, KLEF University, Guntur Dist, Andhra Pradesh, IN
2 Andhra University, IN
3 Department of I.S.T, LBRCE, Mylavaram, IN

Abstract

Image morphing has been the subject of much attention in recent years. It has proven to be a powerful visual effects tool in film and television, depicting the transformation of one digital image into another. When this process is used effectively, the photograph can be transformed into anything a person wants with dramatic effects. In this paper we implemented various techniques of image morphing and compared them. We tried to automate the process as much as possible.

Keywords

Animation Techniques, Vaughn Morphing, Metamorphoses.

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R. Harikumar ¹, T. M. Balakrishnan Nair ¹, B. M. Rao ¹, Rajendra Prasad ², P. Ramakrishna Phani ¹, C. Nagaraju ¹, M. Ramesh Kumar ¹, C. Jeyakumar ¹, S. S. C. Shenoi ¹, Shailesh Nayak ³

Affiliations
1 ESSO-Indian National Centre for Ocean Information Services, Hyderabad 500 090, IN
2 Andhra University, Visakhapatnam 530 003, IN
3 Earth System Science Organisation, New Delhi 110 003, IN

Abstract

Ocean-met observations from INCOIS real-time automatic weather station on-board a ship RV Kaustubh served as strong ground truth for satellite- and modelderived forecasts during the very severe cyclonic storm Hudhud, which made a landfall at Visakhapatnam, India. The ship recorded maximum wind speed of 204 km/h (with a minimum central pressure of 945 hPa), which is the highest (lowest) ever instrumentally recorded value at a location on the Indian coastline during any cyclone. Though the global model forecasts of wind fields have shown good agreement inland, they failed in representing the reality along the coasts. Variation in wind energy from ocean towards inland suggests that it is attenuated exponentially inland (the maximum wind power density had reduced by 93,406 W/m² at Anakapalle (~25 km) compared to the ocean, and by 7022 W/m² at Chintapalle (~100 km inland) compared to Anakapalle). The present study reinforces the significance of having realtime near-shore ocean-met observations, and their operational usage for evaluation (assimilation) of (into) ocean-met forecast models in realtime.

Keywords

Automatic Weather Stations, Bias-Corrected Wind Forecasts, Forecast Models, Tropical Cyclones, Shipbased Observations, Wind Power Density.

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R. Pradeep Kumar Reddy ¹, C. Nagaraju ¹

Affiliations
1 Department of Computer Science and Engineering, YSREC of YVU, Proddatur-516360, IN

Abstract

The most precious field in digital image processing is diagnosing the internal activities of human body. Brain is one of the critical part in human body. In the current era cancer is a challenging in medical field. Identification of tumor in brain is very difficult. Segmentation is a kind of method in digital image processing used to divide the image into number of parts with specific regions. It is important to notice that resolution is the key factor in identification of tumors. In this paper we proposed efficient modified K-mean clustering along with triangular model for detection of brain tumor. Modified K-mean clustering includes image enhancement for clear detection of tumor using gradient profile sharpness. Further tumor is detected using triangular model.

Keywords

Image Segmentation, K-Means Clustering, Mri Images, Triangle Model, Tumor Detection.

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