Patent Number: 202141010711, Applicant: Sathishkumar V E.
The rapid development of technologies, cost of renewable energy equipment is reducing worldwide and encouraging Solar Power Plants installations in large quantity. The Solar Power Plants generates the Solar Energy, converts sun light into electricity by Photovoltaic cells, mirrors, and lenses. The commercial way of producing the energy from the sun is the viable way of renewable energy. The large scale of the solar power plants are installing in the locations which are not accessible to monitor everyday. The remote real time solar monitoring system is required for each individual solar panel in the solar energy system to know the performance in the form of power output levels.
Patent Number: 202041009633, Applicant: Pramod Kandoth Madathil.
A detachable electronic chalk dust collector consisting of a control unit having dust collecting components, a dusting unit with alternative directional suction, inbuilt collection unit and sensors. An attachable recharging and recycling unit with di-suction
unit and multifunctional ports and sensors.
Patent Number: WO2018/220653, Applicant: Hindustan Petroleum Corporation Limited.
The instant disclosure provides a process for the extraction of the oil extract from petroleum-based oils. The present disclosure also provides a composition for heat transfer applications, exhibiting enhanced thermo-physical properties, comprising a combination of base fluid (DPO) and an oil extract wherein the oil extract has a weight percentage in the range of 5 - 20 %. The present disclosure also provides a process for the preparation of the composition.
Patent Number: 201741019503, Applicant: Hindustan Petroleum Corporation Limited.
The instant disclosure provides a process for the extraction of the oil extract from petroleum-based oils. The present disclosure also provides a composition for heat transfer applications, exhibiting enhanced thermo-physical properties comprising a combination of base fluid (DPO) and an oil extract wherin the oil extract has a weight percentage in the range of 5.20%.
Patent Number: WO 2016/189550 Al, Applicatnt: Hindustan Petroleum Corporation Ltd. In accordance with the present subject matter there is provided a hygroscopic homogenous salt mixture including at least one alkali metal salt and a metal salt having water of crystallization. The subject matter also relates to a method for preparation of hygroscopic homogenous salt mixture.
Patent Number: CA 2959955 A1 2016/12/22, Applicant: Hindustan Petroleum Corporation Ltd. Abstract: In accordance with the present subject matter there is provided a composition including atleast one nanoparticle, atleast one alkali metal salt and a metal salt having water of crystallization. The subject matter also relates to a method for preparation of the composition.
Patent Number: 202141037003, Applicant: Parag Jose Chacko.The idea proposed is an Intelligent Energy Management System (1EMS) which will be on board a Gridable Electric Vehicle (GEV) for enabling Grid Integration to facilitate Grid to Vehicle (G2V), Vehicle to Grid (G2V) and Vehicle to Vehicle (V2V) active power flow. Gridable Electric Vehicles are vehicles coming under the category of Plug-in Hybrid Electric Vehicles (PHEV) and Battery operated Electric Vehicles (BEV). The interest towards alternate transportation is increasing due to the increasing fuel prices and the increased air pollution.
Air pollution poses a significant environmental and health challenge in Delhi, India. This research focuses on predicting the Air Quality Index (AQI) for Delhi utilizing machine learning techniques. The research methodology encompasses comprehensive steps such as data collection, preprocessing, analysis, and modeling. Data comprising various pollutants and meteorological parameters were gathered from the Central Pollution Control Board (CPCB) spanning from January 1, 2016, to December 30, 2022. Missing values were imputed using the IterativeImputer method with RandomForestRegressor as the estimator. Data normalization and variance reduction were achieved through Box-Cox transformation. Spearman Rank Correlation analysis was employed to explore relationships between features and AQI. Initial evaluation of nine machine learning algorithms identified Random Forest and XGBoost as the top performers based on accuracy. These algorithms were further optimized using 5-fold cross-validation with RandomizedSearchCV. The results demonstrated the efficacy of both algorithms in AQI prediction. Notably, PM2.5 and CO concentrations emerged are most influential features, highlighting the potential for AQI improvement in Delhi through the reduction of these pollutants. This research distinguishes itself through a meticulous examination of the complex interconnections between pollutants and AQI, providing invaluable insights to inform targeted interventions and enduring policies geared towards improving air quality in Delhi. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
Firm value is considered as a vital aspect in analysing a company s financial health. It is the total value of a company. This study determines the role of firm-specific characteristics such as firm size, firm age, newlineliquidity, firm complexity, board independence, institutional ownership, newlinenon-performing assets, annual volatility of stock returns, leverage and internal control represented by Enterprise Risk Management (ERM) and Big4 auditor on the firm value measured using Tobin s Q, Return On Equity (ROE) and Return On Assets (ROA). This proposition was addressed with the sound statistical investigation of 127 companies listed in the NSE financial services and manufacturing sectors by utilising annual newlinepanel data for 11 years from 2007-17. Regression results indicated that in the financial services sector, the purchasers consider firm size, firm age, liquidity, the volatility of stock returns and non-performing assets. ROA shows that the management has to focus on firm size, firm age and volatility of stock returns. ROE informs that the investors will look into newlinefirm size, firm age, institutional ownership, non-performing assets, leverage, firm complexity and volatility of stock returns. Whereas in the manufacturing sector, the purchasers focus on adoption of ERM, firm size, firm age and liquidity. ROA showed that management has to give importance to ERM, firm size, firm age, firm complexity, liquidity, and leverage. ROE revealed that the investors look into firm size, firm newlinecomplexity, liquidity and leverage. These findings are of particular interest newlineto investors, researchers and practising managers in the financial services and manufacturing sector.
According to World Health Organization Learning disability is a state of arrested or incomplete development of mind. The most common learning disabilities are Dyslexia, Dyscalculia Dysgraphia, Auditory and Visual Processing Disorders and Nonverbal Learning Disabilities. Adolescents with learning difficulty have trouble expressing their feelings, calming themselves down, and reading non-verbal cues which can lead to difficulty in the classroom and with their peers. In India approximately 13 to 14 per cent of all school children suffer from learning disorders (Sadaket 2009). The social relationships of the adolescents with learning disability have a positive influence on their self esteem. It helps them to maintain a constructive relationship with their peers, teachers and parents. The study was focused to know the relationship of self esteem and social relation in adolescents with learning disability. The study was conducted among all the Adolescents with Learning Disability, in an alternative school in Bangalore. The size of the sample was 50 which include both genders and the sampling design was purposive sampling.
