Image Enhancement through Denoising and Retrieval of Vegetation Parameters from Landsat8

This paper proposed the enhancement of Landsat8 imagery through an Un-decimated Dual-Tree Complex Wavelet Transform (UDT-CWT) based denoising method and modified homographic filter for edge preservation. This work has been extended by estimating several vegetation parameters like Normalized Difference of Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), Modified Soil Adjusted Vegetation Index (MASVI), and Soil & Atmospherically Resistant Vegetation Index (SARVI). Once the estimation of these parameters was done, the effect of noise was verified. Wavelet decomposes the image into frequency subbands and de-noises each subband separately. These subbands help to increase the resolution. The general problem of the homomorphic filter is that it doesn’t enhance the Low-frequency components which also play a key role in estimating Vegetation Indices (VI).So it was modified to enhance the high-frequency components as well as low-frequency details. Monitoring of vegetation parameters using remote sensing is one of the prominent ways in the estimation of crop yield, Land Use Land Cover (LULC), Water resource management, Drought management, etc. The high-resolution image is more preferable than moderate resolution image to retrieve VI. Image denoising and enhancing the spatial resolution helps to retrieve the parameters well and accurate. The proposed algorithm was working on the images of Landsat8

Denoising of Locally Received NOAA images for Remote Sensing Applications

Remote Sensing means capturing images of earth’s surface using satellites. Remote Sensing finds its applications in agriculture sector, climate studies, forest fire detection, pollution monitoring and oceanography etc. In this paper, NOAA images are considered as Remote Sensing images. NOAA images are directly received by using L Band antenna, located at Sri Venkateswara University, Tirupati, Andhra Pradesh state, India. The received NOAA images are denoised using spatial and frequency domain denoising techniques with modified soft thresholding. The proposed thresholding technique preserves the green content of the image even after denoising by which accuracy of outcome can be increased in remote sensing applications. Comparison of the performance is done to prove that the proposed techniques are better than existing methods

Heterogeneous Access: Survey and Design Considerations

As voice, multimedia, and data services are converging to IP, there is a need for a new networking architecture to support future innovations and applications. Users are consuming Internet services from multiple devices that have multiple network interfaces such as Wi-Fi, LTE, Bluetooth, and possibly wired LAN. Such diverse network connectivity can be used to increase both reliability and performance by running applications over multiple links, sequentially for seamless user experience, or in parallel for bandwidth and performance enhancements. The existing networking stack, however, offers almost no support for intelligently exploiting such network, device, and location diversity. In this work, we survey recently proposed protocols and architectures that enable heterogeneous networking support. Upon evaluation, we abstract common design patterns and propose a unified networking architecture that makes better use of a heterogeneous dynamic environment, both in terms of networks and devices. The architecture enables mobile nodes to make intelligent decisions about how and when to use each or a combination of networks, based on access policies. With this new architecture, we envision a shift from current applications, which support a single network, location, and device at a time to applications that can support multiple networks, multiple locations, and multiple devices

Comparative Study of Sink Node Placement Strategies of Wireless Sensor Network

One of the fundamental design challenges in designing a Wireless Sensor Network (WSN) is to be more maximize the network lifetime, as each sensor node of the network is equipped with a limited power battery. Wireless Sensor Networks are rapidly growing area of research and commercial development. Meanwhile it draws attention of many researchers because of the enormous scope of its applications in numerous areas. A Wireless Sensor Network (WSN) consists of large number of spatially distributed autonomous sensors to monitor physical environment conditions, such as temperature, sound, humidity, pressure, light etc. and pass their data often called raw data through the network to Base Station which is often called Sink. The sink forms the gateway between the WSN and end-user application. In real time applications sensors collect data and transfer to the sink. Generally Sensors have limited range and less battery life. In this paper our main goal is to increase the network life time of sensors and reduce their energy consumption of the network. In this paper two sink placement strategies are implemented along with an existing strategy geographical sink placement strategy (GSP) by placing sink in an appropriate area to cover maximum number no of sensors in the region of an network. The advantages of these two strategies were analyzed and compare with an existing strategy

Role of Alvarado score in the diagnosis of acute appendicitis

Acute appendicitis is a surgical emergency, which is associated with morbidity and mortality occasionally. If failed to diagnose early the situation may become more complicated. In acute appendicitis it is not possible to have definitive diagnosis by histopathology preoperatively, we would like a simple test like Alvarado scoring system which depends on the presence and absence of certain variable, which provides an accurate guide to whether or not the patient has the condition. Hence, accurate diagnosis and timely intervention is needed. Therefore, the present study was conducted to evaluate the Alvarado scoring system in diagnosing acute appendicitis and its co relation with histopathology. This prospective study was conducted in 100 consecutive patients admitted in the department of general surgery of Narayana Medical College, Nellore with the clinical diagnosis of acute appendicitis. The findings based on the Alvarado score indicate that 68% of the subjects had a score of more than 7 and 22% of the subjects had a score between 5 and 7. Only 10% of the subjects had a score between 1 and 4. Out of 83 eligible subjects 75 were found to have acute appendicitis by histopathological examination. Negative appendicectomy was very low representing up to 9.6% whereas the percentage of positive predictive value was high representing up to 90.4%. Although the diagnosis of acute appendicitis remains mainly clinical evaluation, the scoring system is easy, simple and cheap complementary aid for supporting the diagnosis of acute appendicitis

Role of magnetic resonance imaging in distinguishing fungal from nonfungal multiple brain abscesses

AbstractCladophialophora bantiana is a neurotropic dematiaceous fungus known for affecting immunocompromised and immunocompetent hosts. We report a case of 24year old immunocompetent male presenting with headache, fever and vomiting. MRI was suggestive of multiple fungal brain abscesses. He underwent total excision of abscesses. Pus culture was suggestive of brain abscess caused by C. bantiana. We report a culture proven case of C. bantiana emphasizing on specific MRI features which are critical in differentiating fungal from nonfungal brain abscesses

Intergeneric hybridization in pigeonpea. I. Effect of hormone treatments

Attempts to cross Cajanus cajan with Atylosia albicans, A. cajanifolia, A. grandifolia, A. mollis, A. platycarpa, A. sericea and A. volubilis resulted in varying degrees of success. Hormone treatment (gibberellic acid and kinetin) increased pod-set and the number of seeds per pod. Hormone treatment among the unsuccessful crosses delayed bud drop by 3–4 days, which prolonged ovule development. Our results indicate that treatment with hormones helps post-fertilization development and leads to improvement in the rate of crossing succes

A PROMISING TECHNIQUE TO IMPROVE THE SOLUBILITY BY LIQUISOLID COMPACTION TECHNOLOGY

About 60-70% of the drugs synthesized are poorly soluble and comes under BCS Class-II&IV. Now it is a challenging situation during the development of different dosage forms for pharmaceutical industries because solubility of the drug is the rate limiting step. Based on the solubility, the dissolution, bioavailability & therapeutic effect is dependent. To overcome this consequence a novel technique -Liquisolid compact is used by dissolving the poorly soluble drug in a non-volatile solvent that improves wettability & decreases the surface tension and ensures drug molecular dispersion in the formulation to increase the solubility of the drug. This admixture of drug loaded solution is blended with carrier adsorption & coating material (adsorption) that has free flowing and compressible powder properties

Intergeneric hybridization in pigeonpea. II. Effect of cultivar on crossability and hybrid fertility

Eight species of Atylosia hybridized with Cajanus cajan L. Millsp. with varying degrees of success when Cajanus was the female parent. The cultivar of the Cajanus parent influenced both the species crossability and hybrid fertility. Variation in the extent of species crossability and hybrid fertility was less pronounced in Cajanus × Atylosia crosses involving Cajanus cultivars derived from a common female background