Search

Image to Image Translation (I2I) is a challenging computer vision problem used in numerous domains for multiple tasks. Recently, ophthalmology became one of the major fields where the application of I2I is increasing rapidly. One such application is the generation of synthetic retinal optical coherence tomographic (OCT) scans. Existing I2I methods require training of multiple models to translate images from normal scans to a specific pathology: limiting the use of these models due to their complexity. To address this issue, we propose an unsupervised multi-domain I2I network with pre-trained style encoder that translates retinal OCT images in one domain to multiple domains. We assume that the image splits into domain-invariant content and domain-specific style codes, and pre-train these style codes. The performed experiments show that the proposed model outperforms state-of-the-art models like MUNIT and CycleGAN synthesizing diverse pathological scans.

This paper investigates the spot electricity price discovery that exists among the five regions of Indian electricity market using hourly spot electricity price data from 1st January 2014 to 31st December 2015. Using Augmented Dickey-Fuller (1981) and Narayan and Popp (2010) unit root tests, we find that the spot electricity prices for both peak and off-peak hours across all the regions are stationary at level. Then by applying Granger causality test for a reduced VAR model at level, the results show that there hardly any causality exists between these electricity markets barring few regions. Though we did not find any causality between peak price and off-peak price for all individual region, but we formed two panels by using peak and off-peak price data of all five regions. Our results showed short-run and long-run panel Granger causality between peak price and off-peak price. The results of the study suggests that though India as a nation has all the regions inter-connected with single frequency of Power grid operation since 2008, however, these markets are not highly integrated in comparison to electricity markets of developed nations around the world.

This paper investigates the spot electricity price discovery that exists among the five regions of Indian electricity market using hourly spot electricity price data from 1st January 2014 to 31st December 2015. Using Augmented Dickey-Fuller (1981) and Narayan and Popp (2010) unit root tests, we find that the spot electricity prices for both peak and off-peak hours across all the regions are stationary at level. Then by applying Granger causality test for a reduced VAR model at level, the results show that there hardly any causality exists between these electricity markets barring few regions. Though we did not find any causality between peak price and off-peak price for all individual region, but we formed two panels by using peak and off-peak price data of all five regions. Our results showed short-run and long-run panel Granger causality between peak price and off-peak price. The results of the study suggests that though India as a nation has all the regions inter-connected with single frequency of Power grid operation since 2008, however, these markets are not highly integrated in comparison to electricity markets of developed nations around the world.

This paper investigates the spot electricity price discovery that exists among the five regions of Indian electricity market using hourly spot electricity price data from 1st January 2014 to 31st December 2015. Using Augmented Dickey-Fuller (1981) and Narayan and Popp (2010) unit root tests, we find that the spot electricity prices for both peak and off-peak hours across all the regions are stationary at level. Then by applying Granger causality test for a reduced VAR model at level, the results show that there hardly any causality exists between these electricity markets barring few regions. Though we did not find any causality between peak price and off-peak price for all individual region, but we formed two panels by using peak and off-peak price data of all five regions. Our results showed short-run and long-run panel Granger causality between peak price and off-peak price. The results of the study suggests that though India as a nation has all the regions inter-connected with single frequency of Power grid operation since 2008, however, these markets are not highly integrated in comparison to electricity markets of developed nations around the world.

This paper investigates the spot electricity price discovery that exists among the five regions of Indian electricity market using hourly spot electricity price data from 1st January 2014 to 31st December 2015. Using Augmented Dickey-Fuller (1981) and Narayan and Popp (2010) unit root tests, we find that the spot electricity prices for both peak and off-peak hours across all the regions are stationary at level. Then by applying Granger causality test for a reduced VAR model at level, the results show that there hardly any causality exists between these electricity markets barring few regions. Though we did not find any causality between peak price and off-peak price for all individual region, but we formed two panels by using peak and off-peak price data of all five regions. Our results showed short-run and long-run panel Granger causality between peak price and off-peak price. The results of the study suggests that though India as a nation has all the regions inter-connected with single frequency of Power grid operation since 2008, however, these markets are not highly integrated in comparison to electricity markets of developed nations around the world.

This work explains the design of wideband bandpass filter for ISM 2.4 GHz band. 800 MHz of filter bandwidth is attained without compromise for insertion loss. FR4 material is used as substrate with dielectric constant 4.4 and height 1.6mm. Return loss at center frequency is approximately -34 dB and the insertion loss varies between of 0.7 to -1 dB which found to be stable in 800 MHz bandwidth range. In this combination of hairpin and stepped impedance is used to design the proposed filter.

As the technology is scaling, reducing wire delays is the major hurdle in increasing communication speed between the cores of System-on-Chip (SoC). Also in today’s technology 50% of silicon area is occupied by interconnects. Efficient use of interconnects is possible due to highly scalable and reliable Network-on-Chip (NoC) communication architecture which has replaced long buses by routers. Routers in NoC make use of intelligent routing algorithms to route the information reliably between the cores irrespective of the topology used. With the help of routing algorithms router optimizes the use of interconnects. Algorithms should provide deadlock free and congestion free routing while ensuring the reachability to destination. This paper presents partially adaptive Cluster based routing referred to as Cluster based routing for regular mesh topology which, (i) Uses cluster approach to reduce the size of routing table. For a 8x8 Mesh there is 76.57% area reduction in routing table. (ii) Provides deadlock free partially adaptive algorithm without use of virtual channels which is achieved by avoiding cyclic paths. (iii) Uses adaptivity to avoid congestion by uniform distribution of traffic between cores.

The field experiment was carried out using 121 germplasm lines of rabi sorghum to study association among the yield and its component traits, direct and indirect effects of traits on the yield. Association studies indicat-ed that at both genotypic and phenotypic levels, panicle width (rg=0.190; rp=0.204) and 1000 grain weight (rg=0.450; rp=0.520) showed significantly positive correlation with grain yield per plant. Genotypic correlation magnitude was higher than phenotypic correlation. Partitioning of yield and yield components both at phenotypic and genotypic levels into direct and indirect effects revealed that the characters that had positive direct effects on grain yield were 1000 grain weight (Ppi=+0.3085, Pgi=+0.4621), panicle length (Ppi=+0.1516, Pgi=+0.2843), days to maturity (Ppi=+0.1539, Pgi=+0.1391) at both genotypic and phenotypic level. On grain yield indicating importance of these characters hence, due consideration should be given to these characters while planning a breeding strategy by utilizing rabisorghum.

An experiment was carried out involving twenty three advanced breeding lines along with two checks M 35-1 and Muguthi during rabi season 2012-13 at four locations. Observations were recorded on 10 different characters viz., plant height (cm), stem diameter (cm), ear head length (cm), ear head diameter (cm), days to 50 per cent flowering, days to maturity, 100 seed weight (g), fodder yield per plot (kg), seed yield per plot (kg), and lodging percentage. The pooled analysis of variance revealed that mean sum of squares due to genotypes was significant for ear head diameter, days to 50 per cent flowering, days to maturity and fodder yield, indicating presence of considerable amount of variability in the genotypes. The mean sum of square due to environment + (genotypes x environment) was significant for plant height, ear head length (cm), ear head diameter (cm), days to 50 per cent flowering, fodder yield per plot (kg), seed yield per plot (kg), and lodging percentage characters except stem diameter, days to maturity and 100 seed yield. On the basis of stability parameters a four genotypes viz., GS-6 (2364 kg/ha), GS-16 (2454 kg/ha), GS-22(2775 kg/ha) and GS-23(2978 kg/ha) were found most stable over Gulbarga, Raichur, Bellary and Malnoor environments of Hyderabad Karnataka region.

The field experiment was carried out using advanced breeding lines of rabi sorghum to study association among the yield and its component traits, direct and indirect effects of traits on the yield. Association studies indicated that seed yield per plot showed significant positive correlation with traits viz., plant height (rp=+0.7243, rg=+0.7409), ear head length (rp=+0.6002, rg=+0.6021), 100 seed weight (rp=+0.1593, rg=+0.1880), fodder yield (rp=+0.9434, rg=+0.9476) and lodging percentage (rp=+0.5263, rg=+0.5646) at both phenotypic and genotypic level.Genotypic correlation was higher magnitude than phenotypic correlation. Revealed increase in ear head length will increase the seed yield. Partitioning of yield and yield components both at phenotypic and genotypic levels into direct and indirect effects revealed that positive direct effects of ear head length (Ppi=+0.2533, Pgi=+0.5241), ear head diameter (Ppi=+0.0669, Pgi=+0.2580), days to maturity (Ppi=+0.0338, Pgi=+0.1193), fodder yield (Ppi=+0.6484, Pgi=+0.7461) were relatively high and followed by less lodging percentage (Ppi=+0.1751, Pgi=+0.2263). Residual effects were Pr=0.1303 and Gr=0.0624 at phenotypic and genotypic levels. Indicating importance of these characters and can be strategically used to improve the seed yield of sorghum.