An adaptive scale Gaussian filter to explain White’s illusion from the viewpoint of lightness assimilation for a large range of variation in spatial frequency of the grating and aspect ratio of the targets

The variation between the actual and perceived lightness of a stimulus has strong dependency on its background, a phenomena commonly known as lightness induction in the literature of visual neuroscience and psychology. For instance, a gray patch may perceptually appear to be darker in a background while it looks brighter when the background is reversed. In the literature it is further reported that such variation can take place in two possible ways. In case of stimulus like the Simultaneous Brightness Contrast (SBC), the apparent lightness changes in the direction opposite to that of the background lightness, a phenomenon often referred to as lightness contrast, while in the others like neon colour spreading or checkerboard illusion it occurs opposite to that, and known as lightness assimilation. The White’s illusion is a typical one which according to many, does not completely conform to any of these two processes. This paper presents the result of quantification of the perceptual strength of the White’s illusion as a function of the width of the background square grating as well as the length of the gray patch. A linear filter model is further proposed to simulate the possible neurophysiological phenomena responsible for this particular visual experience. The model assumes that for the White’s illusion, where the edges are strong and quite a few, i.e., the spectrum is rich in high frequency components, the inhibitory surround in the classical Difference-of-Gaussians (DoG) filter gets suppressed, and the filter essentially reduces to an adaptive scale Gaussian kernel that brings about lightness assimilation. The linear filter model with a Gaussian kernel is used to simulate the White’s illusion phenomena with wide variation of spatial frequency of the background grating as well as the length of the gray patch. The appropriateness of the model is presented through simulation results, which are highly tuned to the present as well as earlier psychometric results

Real-time speech emotion analysis for smart home assistants

Artificial Intelligence (AI) based Speech Emotion Recognition (SER) has been widely used in the consumer field for control of smart home personal assistants, with many such devices on the market. However, with the increase in computational power, connectivity and the need to enable people to live in the home for longer though the use of technology, then smart home assistants that could detect human emotion will improve the communication between a user and the assistant enabling the assistant of offer more productive feedback. Thus, the aim of this work is to analyze emotional states in speech and propose a suitable method considering performance verses complexity for deployment in Consumer Electronics home products, and to present a practical live demonstration of the research. In this paper, a comprehensive approach has been introduced for the human speech-based emotion analysis. The 1-D convolutional neural network (CNN) has been implemented to learn and classify the emotions associated with human speech. The paper has been implemented on the standard datasets (emotion classification) Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) and Toronto Emotional Speech Set database (TESS) (Young and Old). The proposed approach gives 90.48%, 95.79% and94.47% classification accuracies in the aforementioned datasets. We conclude that the 1-D CNN classification models used in speaker-independent experiments are highly effective in the automatic prediction of emotion and are ideal for deployment in smart home assistants to detect emotion

Adoption of Inhana Rational Farming (IRF) Technology as an Organic Package of Practice towards Improvement of Nutrient Use Efficiency of Camellia Sinensis through Energization of Plant Physiological Functioning

The effectivity of Inhana Rational Farming (IRF) Technology towards energization of plant physiological functioning was evaluated in comparison to other organic packages of Practice under FAO-CFC-TBI Project at Maud Tea Estate, Dibrugarh, Assam, India during 2008 to 2013. The study area lies in 27.26. N latitude and 95.12 E longitude covering a total area of 154.58 ha area with level to nearly level landscape. The experiment was laid down as per randomized block design (RBD) with 8 treatments replicated 3 times. The treatments included available two organic methods viz. Biodynamic Farming (BD) and Inhana Rational Farming (IRF) (developed by Dr. P. Das Biswas, Founder, Inhana Biosciences, Kolkata) as well as organic inputs viz. vermicompost, bio-fertilizers, bio-pesticides, herbal formulations which are used in organic tea gardens in India on large scale. The organic inputs selected for evaluation were combined to form different ‘Packages of Practice’ based on scientific rationale. The different packages were : Biodynamic (BD) with Biodynamic compost, Conventional Organic Practice with Indigenous compost @ 13.5 ton/ha (CO), Inhana Rational Farming Tech-nology with 8 ton Novcom Compost (IRF-2), Inhana Rational Farming Technology with 5.1 ton Novcom Compost (IRF-4), Vermi-compost @ 9.4 ton/ha + Conventional Organic Practice (VCO), Vermicompost @ 9.4 ton/ha + Microbial Formulations for both soil and plant management (VMI), Vermicompost @ 9.4 ton/ha + Microbial Formulations for only plant management i.e. Bio-pesticides+ Bio-growth promoter (VMIP). Agronomic Efficiency (NUE), which among other factors depends upon the nutrient uptake and utilization efficiency of plant or con-versely the state of plant physiology was assessed to score the different organic packages as per N expensed for unit crop production. Highest NUE was obtained under IRF packages followed by VMI, VMIP and VCO. The highest crop yield along with high NUE under IRF-2 indicated an effective management approach towards activation of plant physiology. But the most significant finding was that there was a considerable enhancement of nutrient use efficiency under the treatment plots which received total package of practice(ie. both plant and soil management) in comparison to the plots which received only the soil management part of the same package of practice (12.35 to 93.77 % increase). The results indicated towards a definitive role of organic plant management w.r.t. enhancement of the plant physiological functioning. While the agronomic efficiency was found highest in both soil management as well as complete package under IRF technology but also the percent change in agronomic efficiency (total package vs. only soil management part of the same package) was highest in case of IRF package of practice. This indicated positive impact of IRF plant management programme towards plant physiological functioning leading to higher crop response

Evaluation of Different Organic ‘Packages of Practice’ in Young Tea Plantation: A case study under FAO-CFC-TBI Project at Maud Tea Estate, Assam, India

Maintenance of young tea under organic package of practice is a challenging task and needs a proper intervention. The present study under FAO-CFC-TBI project was done at Maud Tea Estate, Assam, India to find out an effective pathway for growing healthy and productive young tea plants. Seven different organic packages of practice were chosen to evaluate their potential in terms of crop efficiency as well as soil quality rejuvenation. Crop yield was recorded of highest value under Inhana Rational Farming (IRF-2: made tea 807 kgha-1) package of practice. Yield under the treatment was 55.2 percent higher than control and about 25.6 percent higher than the next best performing package of practice i.e. VMI (653 kgha-1). The third highest yield was obtained under IRF-1 and VCO, which recorded almost similar crop (made tea: 619 & 618 kgha-1 resp.) followed by BD (593 kgha-1), Co (567 kgha-1) and MI (556 kgha-1) packages. Value cost ratio (VCR), which is excess revenue generated per unit rupee invested; followed similar trend as observed in case of New Plantation experiment indicating highest economic sustainability under IRF-2 (4.37) followed by IRF-1 (2.33) package. Value cost ratio in case of other organic packages varied between 0.25 and 1.02, indicating economic vulnerability considering that VCR < 2.00 has been indicated by Agricultural economists as the critical mark below which there is no necessary risk coverage against investment towards input cost

MRF based LSB steganalysis: a new measure of steganography capacity

A new steganalysis algorithm is described based on the MRF model of image LSB plane. In this framework the limitation of the Cachin's definition of the steganography capacity is quantified and a new measure is proposed

Perception and Machine IntelligenceFirst Indo-Japan Conference, PerMIn 2012, Kolkata, India, January 12-13, 2012. Proceedings /

XVII, 380 p.online resource

Effect of Foliar Application of Micronutrients on Antioxidants and Pungency in Onion

The aim of the present work was to study the effect of foliar application of micronutrients [Zinc: Zn1 (0%); Zn2 (0.5%); Zn3 (1.0%) and Boron: B1 (0%); B2 (0.25%); B3 (0.5%)] on the antioxidants and pungency of onion cv. “Sukhsagar” (Allium cepa L.). In this experiment, it was suggested that the highest contents of total and free phenol was obtained by the highest dose of Zn (1%) in combination with 0% B, and single dose of Zn (0.5%) in combination with 0% B respectively. The superoxide dismutase (SOD) activity was found to increase with respect to control following the highest dose of B (0.5%) alone. However, the peroxidase (POD) activity increased more with respect to control following the single dose of B (0.25%) rather than the double dose (0.5%). The highest Molybdate reducing antioxidant potential (MRAP) was observed in 0.5% Zn in combination with 0% B, whereas that of 2, 2-Diphenyl-β-picrylhydrazyl radical scavenging activity (DPPHRAC) was found in the interaction effect of the double doses of both Zn (1%) and B (0.5%), which also offered the lowest lipid peroxidation. The highest pyruvic acid development was observed by the interaction effect of 0% Zn and 0.25% B. Based on the average values of the biochemical parameters and the results of PCA, the treatment with Zn1B3 (0% of Zn in combination with double dose of 0.5% of B) was proved to be most promising with respect to antioxidant properties