Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network

Training robust deep learning (DL) systems for medical image classification or segmentation is challenging due to limited images covering different disease types and severity. We propose an active learning (AL) framework to select most informative samples and add to the training data. We use conditional generative adversarial networks (cGANs) to generate realistic chest xray images with different disease characteristics by conditioning its generation on a real image sample. Informative samples to add to the training set are identified using a Bayesian neural network. Experiments show our proposed AL framework is able to achieve state of the art performance by using about 35% of the full dataset, thus saving significant time and effort over conventional methods

Sustaining Growth in Tourism Sector: Opportunities and Challenges

The paper has broadly made an attempt to examine the growth and challenges faced by the tourism sector in Goa, a destination in India; during the last one decade.Of late, the number of tourists visiting the state is more than twice the population of the state. Empirical evidence also reveals an improvement in the growth of tourists' arrival but with wide fluctuation over the years. However, there are emerging issues of concern including the saturation of the carrying capacity of the state and the scope to sustain the growth momentum in the long run. Given the low geographical area and stiff competition among the destination managers to woo quality tourists, the state needs to be fully aware of their expectations and accordingly design the tourism policy

Thermal properties of sweet sorghum bagasse as a function of moisture content

In this study, we examined the relationship between thermal properties and moisture content of sweet sorghum bagasse. A KD2 Pro Thermal Properties Analyzer was used to measure the thermal conductivity, thermal diffusivity, and volumetric specific heat of sweet sorghum bagasse across a range of moisture contents (8.52% - 28.62% w.b.). The thermal conductivity of sweet sorghum bagasse ranged from 0.0921 to 0.1096 W m-1 K-1 and increased with increase in moisture content through the range of 8.52% - 28.62% w.b. The thermal diffusivity ranged from 0.1225 to 0.1596 mm2 s-1 and increased with moisture content through the range of 8.52% - 28.62% w.b. The volumetric specific heat of sweet sorghum bagasse ranged from 0.7537 to 0.6869 MJ m-3 K-1 and decreased with moisture content through the range of 8.52% - 28.62% w.b. Quantitative empirical equations incorporating moisture content and room temperature dependent terms were developed to predict thermal conductivity, thermal diffusivity, and volumetric specific heat of sweet sorghum bagasse between 8.52% and 28.62% (w.b.) moisture content. The models are valid within the limits of the parameters used in the experiments.     

Reproductive biology and artificial propagation of chocolate mahseer Neolissocheilus hexagonolepis (Mc Clelland) in Meghalaya, India

The chocolate mahseer Neolissocheilus hexagonolepis (Mc Clelland) is a commercially important species of mahseer group which needs immediate attention due to its reduced abundance in Meghalaya. This fish is widely recognized as a sport fish by the anglers, as ornamental fish by the hobbyists and also a priced food fish. Fishes were found to mature from May onwards and gravid fishes were available in rivers from July to September. Females were larger in size when compared to males in the same age group. The sex ratio observed was 1 female: 1.26 male. Attainment of first maturity occurred when males were 9+ months and females were 11+ months old. The minimal length and weight at first maturity of female fishes were 17.8 cm and 70 g respectively whereas males attained maturity at an average length of 17.3 cm and weight of 50 g. The Gonado-somatic Index in ripe female was 16.19 and the average fecundity factor was 70.18. The fish was bred successfully in captive condition through stripping. Fertilization percentage of eggs ranged from 80 to 85. Incubation period varied between 81-97 hours and the percentage of hatching was 75-80. Yolk-sac absorption in larvae was complete in 6+ days after hatching. The spawn was stocked in glass aquaria and on an average, 85% survival was recorded after 15 days of rearing when they attained an average length of 2.084 cm and weight of 0.195 g. The fry was subsequently reared in cement cisterns @ 1 no./l and on an average, 92% survival was recorded after 60 days of rearing. During this period, the fish attained an average length of 4.82 cm and weight of 0.856 g

A New Ultra Low-Power and Noise Tolerant Circuit Technique for CMOS Domino Logic

Dynamic logic style is used in high performance circuit design because of its fast speed and less transistors requirement as compared to CMOS logic style. But it is not widely accepted for all types of circuit implementations due to its less noise tolerance and charge sharing problems. A small noise at the input of the dynamic logic can change the desired output. Domino logic uses one static CMOS inverter at the output of dynamic node which is more noise immune and consuming very less power as compared to other proposed circuit. In this paper we have proposed a novel circuit for domino logic which has less noise at the output node and has very less power-delay product (PDP) as compared to previous reported articles. Low PDP is achieved by using semi-dynamic logic buffer and also reducing leakage current when PDN is not conducting