Modeling Camera Effects to Improve Visual Learning from Synthetic Data

Recent work has focused on generating synthetic imagery to increase the size and variability of training data for learning visual tasks in urban scenes. This includes increasing the occurrence of occlusions or varying environmental and weather effects. However, few have addressed modeling variation in the sensor domain. Sensor effects can degrade real images, limiting generalizability of network performance on visual tasks trained on synthetic data and tested in real environments. This paper proposes an efficient, automatic, physically-based augmentation pipeline to vary sensor effects --chromatic aberration, blur, exposure, noise, and color cast-- for synthetic imagery. In particular, this paper illustrates that augmenting synthetic training datasets with the proposed pipeline reduces the domain gap between synthetic and real domains for the task of object detection in urban driving scenes

Assessment of Grasslands and Livestock Production in Kangra Valley of Himachal Pradesh

In Himachal Pradesh 89.96 percent as per 2011 census of population lives in rural areas. The mainstay of the people of Himachal Pradesh is agriculture and has an important place in the economy of the State. Agricultural census shows that 87.95 percent of the total holdings are of small and marginal. Rearing of livestock is an integral component of rural economy (Anonymous, 2014). Livestock depend to a certain extent on fodder and grass grown on common property resources (CPR) as well as on crops and residues. Animal production is an integral part and forms part of the earning of small and marginal farmers. Almost every household in the State maintains a few heads of livestock of one kind or the other. The indigenous livestock population, and in many cases their cross bred progeny are dependent on grazing/pasture land and forest. When these animals become unproductive, old or sick, there is a tendency to abandon them rather than be responsible for feeding them. Grassland/pastures produce far below their potential and there is a gap between demand and supply of green fodder. The geographical area of Kangra is 5, 63,832.3 ha and area under grasslands is 69,781.7 ha that comes around 27. 51%. (Singh et al., 2009). The problem of animal productivity has been exacerbated by the shortage of fodder as holdings have become smaller and the extent and productivity of common grazing lands has also reduced over time. There are mainly two reasons which are responsible for poor performance of livestock, i.e., low productive animals and low availability of fodder

Children's informal play spaces in the urban setting : a case study of three residential neighborhoods in Manhattan, Kansas

Department: Architecture

A New Generalization of Power Garima Distribution with Applications in Blood Cancer and Relief Times

The present study deals with the weighted version of power Garima distribution and its various statistical properties have been obtained. For estimating its parameters, the technique of maximum likelihood estimation have been used and also observed its Fisher’s information matrix. Finally, the two real lifetime data sets from medical sciences have been used to discuss the superiority of new distribution

ESTIMATION OF GUGGULSTERONE-Z IN GOKSHURADI GUGGULU USING REVERSED-PHASE HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY

Objective: A study was aimed to estimate guggulsterone-Z (GZ) in Gokshuradi Guggulu (GG).Methods: An analytical method was developed and validated using Waters Alliance high-performance liquid chromatography system (Empower software), equipped with photodiode array detector. Separation was achieved using Phenomenex, C-18 (250 mm×4.6 mm, 5 μ) column. Mobile phase consisted of acetonitrile:water (70:30,v/v). Flow rate was set to 1 ml/min and detection was performed at 251 nm.Results and Discussion: Validation parameters such as linearity, precision, accuracy, limit of detection, limit of quantification, and robustness were performed. Amount of GZ was estimated using linearity equation.Conclusion: GG was found to contain 0.815±0.03 g% w/w GZ. Validated method may be used as one of the parameters to standardize the formulation

An unusual presentation of nabothian cyst: a case report

Nabothian cysts are common gynecologic findings and rarely of clinical significance. They are not problematic unless they are sizeable and present secondary symptoms like in this case. Nabothian cysts are usually associated with chronic cervicitis, an inflammatory condition of cervix, and are harmless and usually disappear on their own. Here we report an interesting case of multiple large nabothian cysts presented with continuous, thin & copious watery discharge, a distressing symptom, mimicking genitourinary fistula. This case is reported for the rarity of symptoms of continuous copious thin watery discharge per vaginum. Very rarely nabothian cyst needs hysterectomy as in our case

A hybrid deep neural network approach to recognize driving fatigue based on EEG signals

Electroencephalography (EEG) data serve as a reliable method for fatigue detection due to their intuitive representation of drivers' mental processes. However, existing research on feature generation has overlooked the effective and automated aspects of this process. The challenge of extracting features from unpredictable and complex EEG signals has led to the frequent use of deep learning models for signal classification. Unfortunately, these models often neglect generalizability to novel subjects. To address these concerns, this study proposes the utilization of a modified deep convolutional neural network, specifically the Inception-dilated ResNet architecture. Trained on spectrograms derived from segmented EEG data, the network undergoes analysis in both temporal and spatial-frequency dimensions. The primary focus is on accurately detecting and classifying fatigue. The inherent variability of EEG signals between individuals, coupled with limited samples during fatigue states, presents challenges in fatigue detection through brain signals. Therefore, a detailed structural analysis of fatigue episodes is crucial. Experimental results demonstrate the proposed methodology's ability to distinguish between alertness and sleepiness, achieving average accuracy rates of 98.87% and 82.73% on Figshare and SEED-VIG datasets, respectively, surpassing contemporary methodologies. Additionally, the study examines frequency bands' relative significance to further explore participants' inclinations in states of alertness and fatigue. This research paves the way for deeper exploration into the underlying factors contributing to mental fatigue.</p

Socio-economic Assessing of Researchers Perceptions and Farmers Willingness to Adopt Silage Technology in Palestine-West Bank

In this paper the animal breeder in Palestine has many challenges including high feed prices, high-cost input, low-quality pasture, limited access to rangeland with high quality, and high cost of feed. In Tubas and Tulkarm areas, extensive irrigated agriculture is dominant. Large quantities of agricultural by-products are wasted. As one of the important interventions to decrease feeding costs, the study focused on silage technology adoption from the view of researchers and farmers. It meant using these agricultural by-products to make them beneficial and eatable for the animal. On the one hand, we removed these by-products from the environment and second, we fed to animals and ultimately, we reduced the input cost of animal feed. The main objective is to improve dissemination strategies and approaches that promote the adoption of silage technologies by identifying both researcher and farmer perceptions and constraints. A field `survey was conducted targeting 70 farmers (35 have knowledge and practice silage technology and 35 do not) from Tubas and Tulkarm areas. The binary logistic model was used for analysis in SPSS and Excel was used for data analysis. The main finding was that age and education play a very important role in the level of adoption, both have negative effects, and access to credit and land tenure may increase the chance of adoption. farming experience has a less negative impact on the level of adoption, while family size has also a negative impact, family size also affects the level of adoption. People in the targeted area try to diversify their income and educated people to leave their parents, either settle outside or come home at the weekend. The study recommended that being a member of a community-based organization increases your chance of access to new technology and increases your chance of adoption. Public awareness and approaches to CBO are crucial for the adoption of this technology. The size of the herd is important for adoption and cost analysis

Dermadez modern prepara-tion for treatment of cows with purulent pododermatites

крс, гнойный пододерматит, лечение, дермаде