Wishbone bus Architecture - A Survey and Comparison

The performance of an on-chip interconnection architecture used for communication between IP cores depends on the efficiency of its bus architecture. Any bus architecture having advantages of faster bus clock speed, extra data transfer cycle, improved bus width and throughput is highly desirable for a low cost, reduced time-to-market and efficient System-on-Chip (SoC). This paper presents a survey of WISHBONE bus architecture and its comparison with three other on-chip bus architectures viz. Advanced Micro controller Bus Architecture (AMBA) by ARM, CoreConnect by IBM and Avalon by Altera. The WISHBONE Bus Architecture by Silicore Corporation appears to be gaining an upper edge over the other three bus architecture types because of its special performance parameters like the use of flexible arbitration scheme and additional data transfer cycle (Read-Modify-Write cycle). Moreover, its IP Cores are available free for use requiring neither any registration nor any agreement or license.Comment: 18 page

Antagonistic Effects of Plant Growth Promoting Bacteria Against Bacterial Diseases of Black Gram

Vigna mungo, the black gram, urad bean, mash kalai, uzhunnu parippu, ulundu paruppu, minapa pappu, Uddu (in Kannada) or black matpe is a bean grown in South Asia. Like its relative, the mung bean, it has been reclassified from the Phaseolus to the Vigna genus. The product sold as black lentil is usually the whole urad bean, whereas the split bean (the interior being white) is called white lentil. It should not be confused with the much smaller true black lentil (Lens culinaris).Black gram originated in South Asia, where it has been in cultivation from ancient times and is one of the most highly prized pulses of India. It is very widely used in Indian cuisine. In India the black gram is one of the important pulses grown in both Kharif and Rabi seasons. This crop is extensively grown in southern part of India, northern part of Bangladesh and Nepal. In Bangladesh and Nepal it is known as mash daal. It is a popular daal (legume) side dish in South Asia, that goes with curry and rice as a platter. Black gram has also been introduced to other tropical areas such as the Caribbean, Fiji, Mauritius, Myanmar and Africa. It is an erect, suberect or trailing, densely hairy, annual bush. The tap root produces a branched root system with smooth, rounded nodules. The pods are narrow, cylindrical and up to six cm long. The plant grows 30–100 cm with large hairy leaves and 4–6 cm seed pods. While the urad dal was, along with the mung bean, originally placed in Phaseolus, it has since been transferred to Vigna.present study is based on antagonistic effects of plant growth promoting bacteria against bacterial diseases of black gram

Selection of Combat Aircraft by Using Shannon Entropy and VIKOR Method

The selection of military defense equipment, especially fighter aircraft, has a bearing on the readiness ofthe Indian Air Force to defend the country’s independence. This study analyses a collection of alternative fighteraircraft that are linked to several choice factors using a multiple-criterion decision-making analysis technique. Tohandle such scenarios and make wise design judgements, a variety of criterion decision analysis techniques can beused. In this study, we assess fifth-generation fighter aircraft that incorporate significant 21st-century technologicaladvancements. These aircraft represent the state-of-the-art in fleet planning operations to 2022. These are generallyequipped with quick-moving airframes, highly integrated computer systems, superior avionics features, networkingwith other battlefield elements, situational awareness, command, control, and other communication capabilities.The study proposes a strategy for the selection of the fifth-generation combat aircraft for the National Air Force.Because of the problems, the Army needed an application that could assist with decision-making for combat selection systems. Solving the decision problem for evaluating fifteen military fighter alternatives in terms of nine decision criteria is the main objective of this work. We use the Shannon entropy and VIKOR model for the Air Force’s fleet program to evaluate military fighter aircraft suitability. The entropy technique is used to compute the weight of the criteria, and then the VIKOR technique has been used to rank the fighter aircraft

Analysis and Comparison of various Methods for Text Detection from Images using MSER Algorithm

In this paper analysis and comparison of various methods for text detection is carried by using canny edge detection algorithm and MSER based method along with the image enhancement which results in the improved performance in terms of text detection. In addition, we improve current MSERs by developing a contrast enhancement mechanism that enhances region stability of text patterns to remove the blurring caused during the capture of image Lucy Richardson de blurring Algorithm is used

1st Zonal Workshop on Policy Issues and HRD in Fisheries and Aquaculture for North Eastern States Assam, Meghalaya, Nagaland, Manipur, Mizoram, Tripura, Arunachal Pradesh and Sikkim

3rd Zonal Workshop on Fisheries and Aquaculture Policy: Responsible Fisheries and Sustainable Aquaculture Perspectives for West Coast States Goa, Gujarat, Karnataka, Kerala, Maharashtra, and Union Territories of Daman and Diu, Dadra & Nagar Haveli and Lakshadweep 21-23 June, 200

Enterovesical Herniation: A Rare Complication After Transurethral Resection of Bladder Tumor

Enterovesical herniation through an acquired bladder wall defect after transurethral resection is an exceedingly rare complication. Small bladder perforations may go unrecognized after transurethral resection as adherent bowel loops seal the defect. We present a very rare case of internal herniation of both small bowel and sigmoid colon into the urinary bladder following transurethral resection of a bladder tumor. Magnetic resonance imaging revealed herniation of bowel loops into the lumen of the urinary bladder through a defect in the dome. On exploratory laparotomy, internal herniation of the ileum and sigmoid colon through a defect in the superior wall of the urinary bladder was found

Multilabel land cover aerial image classification using convolutional neural networks

Classifying the remote sensing images requires a deeper understanding of remote sensing imagery, machine learning classification algorithms, and a profound insight into satellite images’ know-how properties. In this paper, a convolutional neural network (CNN) is designed to classify the multispectral SAT-4 images into four classes: trees, grassland, barren land, and others. SAT-4 is an airborne dataset that captures the images in 4 bands (R, G, B, infrared). The proposed CNN classifier learns the image’s spectral and spatial properties fromthe ground truth samples provided. The contribution of this paper is three-fold. (1) A classification framework for feature extraction and normalization is built. (2) Nine different architectures of models are built, and multiple experiments are conducted to classify the images. (3) A deeper understanding of the image structure and resolution is captured by varying different optimizers inCNN. The correlation between images of varying classes is identified. The experimental study shows that vegetation health is predicted most accurately by the proposed CNN models. It significantly differentiates the grassland vegetation from tree vegetation, which is better than other classical methods. The tabulated results show that a state-of-the-art analysis is done to learn varying landcover classification models

Intra-household evaluations of alcohol abuse in men with depression and suicide in women: A cross-sectional community-based study in Chennai, India.

BACKGROUND: Harmful effects of alcohol abuse are well documented for drinkers, and adverse effects are also reported for the physical and emotional well-being of family members, with evidence often originating from either drinkers or their families in clinic-based settings. This study evaluates intra-household associations between alcohol abuse in men, and depression and suicidal attempts in women, in community-based settings of Chennai, India. METHODS: This community-based cross-sectional study of chronic disease risk factors and outcomes was conducted in n = 259 households and n = 1053 adults (aged 15 years and above) in rural and urban Chennai. The Alcohol Use Disorder Identification Test (AUDIT) score was used to classify alcohol consumption into 'low-risk', 'harmful', 'hazardous' and 'alcohol dependence' drinking and the Patient Health Questionnaire (PHQ-9) score to classify depression as 'mild', 'moderate', 'moderate-severe' and 'severe'. Multivariate logistic regression models estimated the association of depression in women with men's drinking patterns in the same household. RESULTS: A significant 2.5-fold increase in any depression (PHQ-9 ≥ 5) was observed in men who were 'alcohol-dependent' compared to non-drinkers (OR = 2.53; 95% CI: 1.26, 5.09). However, there was no association between men's drinking behavior and depression in women of the same household, although suicidal attempts approached a significant dose-response relationship with increasing hazard-level of men's drinking (p = 0.08). CONCLUSION: No significant intra-household association was observed between men's alcohol consumption and women's depression, though an increasing (non-significant) trend was associated with suicidal attempts. Complex relationships between suicidal attempts and depression in women and male abusive drinking require further exploration, with an emphasis on intra-household mechanisms and pathways