Crude Oil Cost Forecasting using Variants of Recurrent Neural Network

Crude oil cost plays very important role in the country’s economic growth. It is  having close impact on economical stability of nation. Because of these reasons it is very important to have accurate oil forecasting system. Due to impact of different factors oil cost data is highly nonlinear and in fluctuated manner. Performing prediction on those data using data driven approaches is very complex task which require lots of preprocessing of data. Working on such a non-stationary data is very difficult. This research proposes recurrent neural network (RNN) based approaches such as simple RNN, deep RNN and RNN with LSTM. To compare performance of RNN variants this research has also implemented Naive forecast and Sequential ANN methods. Performance of all these models are evaluated based on root mean square error(RMSE), mean absolute error(MAE) and mean absolute percentage error(MAPE). The experimental result shows that RNN with LSTM is more accurate compare to all other models. Accuracy of LSTM is more than 96% for the dataset of U.S. Energy Information administration from March 1983 to June 2022. On the basis of experimental result, we come to the conclusion that RNN with LSTM is best suitable for time series data which is highly nonlinear

Study on the algal flora as indicator of organic pollution in Darna River, Nasik (M.S.)

The algal flora i.e. algal bio indicators can be used for assessing the status, magnitude of the deterioration of the fresh water bodies; Moreover, aquatic algae can act as good indicators of water quality i.e. certain algal forms grow in a specific type of polluted water. These provide information of kind of organic pollution for that particular fresh water ecosystem. In the present research paper, PalmerÂ’ s algal genus and species pollution index (1969) was used to determine the tolerance of algal species towards an organic pollution in the Darna River. Thus the algal genera that are most tolerant to organic pollution can be identified. The Palmers algal index is simply calculated by summing up the scores of all relevant algal taxa present within the collected water samples from the Darna River

Diversity-oriented synthesis of a library of substituted tetrahydropyrones using oxidative carbon-hydrogen bond activation and click chemistry

Eighteen (2RS,6RS)-2-(4-methoxyphenyl)-6-(substituted ethyl)dihydro- 2Hpyran-4(3H)ones were synthesized via a DDQ-mediated oxidative carbon-hydrogen bond activation reaction. Fourteen of these tetrahydropyrans were substituted with triazoles readily assembled via azide-alkyne click-chemistry reactions. Examples of a linked benzotriazole and pyrazole motif were also prepared. To complement the structural diversity, the alcohol substrates were obtained from stereoselective reductions of the tetrahydropyrone. This library provides rapid access to structurally diverse non-natural compounds to be screened against a variety of biological targets. © 2011 by the authors

Design of Suspension System for an All-Terrain Vehicles

The main agenda of this paper is to study the different parameters or characteristics of suspension system of an ATV. It is very much important for the suspension system that the wheel should be in contact with road surface, because there are some forces acting on the vehicle from downside, is referred as ground forces or road forces. We have designed front suspension as an A-Arm type and that of rear as an H-Arm type. Both the suspension systems are independent suspension systems. For these types of suspension systems, we required to calculate the important parameters like ride rate, roll rate, natural frequency, wheel rate, motion ratio, spring rate, damping ratio and factor of safety. By calculating all the parameters further we have done analysis of this parameters by solid work software and LOTUS Shark

Artificial neural network predication and validation of optimum suspension parameters of a passive suspension system

This paper presents the modeling and optimization of quarter car suspension system using Macpherson strut. A mathematical model of quarter car is developed, simulated and optimized in Matlab/Simulink® environment. The results are validated using test rig. The suspension system parameters are optimized using a genetic algorithm for objective functions viz. vibration dose value (VDV), frequency weighted root mean square acceleration (hereafter called as RMS acceleration), maximum transient vibration value, root mean square suspension space and root mean square tyre deflection. ISO 2631-1 standard is adopted to assess ride and health criterion. Results shows that optimum parameters provide ride comfort and health criterions over classical design. The optimization results are experimentally validated using quarter car test setup. The genetic algorithm optimization results are further extended to the artificial neural network simulation and prediction model. Artificial neural network model is carried out in Matlab/Simulink® environment and Neuro Dimensions. Simulation, experimental and predicted results are in close correlation. The optimized system reduces the values of VDV by 45%. Also, RMS acceleration is reduced by 47%. Thus, the optimized system improved ride comfort by reducing RMS acceleration and improved health criterion by reducing the VDV. Finally ANN can be used for predicting the optimum suspension parameters values with good agreement

Deliberating the Managerial Approach towards Employee Participation in Management

Today, Employee participation and involvement in management is the most crucial element for organisations. Employee participation in management is of immense value in an organization. It creates a sense of belongingness among the employees and makes them more responsible in their outlook and behavior in the organisation. It reduces industrial unrest and promotes industrial peace. It helps in maintaining harmonious relations between the workers and the management. Employee involvement affects various factors related to employee and organisation. This paper deliberates on the managerial approach towards employee participation in management. This is a descriptive study computed using the data collected from the managers using the structured questionnaire. The outcome of the paper emphasizes that employee participation and involvement in management affects the productivity job-satisfaction and helps in attaining selfrealisation for employees and reducing attrition peace for organisations. Keywords: Employee Participation; Managerial Approach; Business Management; Strategic Management; Human Resource Managemen

Design and Manufacturing of steering system for ATV

Steering system is used to steer the vehicle according to need. In order to design a steering system it is important to recognise and compensate the forces due to tracks. Steering system of an ATV needs to be efficient as far as the parameters like rigidity, weight, spaces are concerned. As we are designing a steering system of ATV we need to consider a rough terrain. All the forces and torques encounter during the run are considered in order to design the mechanisms which will sustain these rough terrains. As the vehicle needs to be frequently steer in any direction so it is necessary that the mechanism should be responsive and also sustain the fatigue loads due to terrain. Also the steering wheel is designed with consideration on steering force. All the findings and values of the steering report is given in this paper

Software Controller using Hand Gestures

New technologies emerge in response to the passage of time. Robotic hand gesture control is one of them. Collaboration frameworks based on gestures are becoming increasingly popular in the business and at home. The approach we suggested can greatly reduce the utilization of hardware components such as a keyboard and mouse. The goal of this research is to create a system that can recognize hand gestures and use them as an input command to connect with a computer or laptop. According to a recent study, the use of CNN technology is still lacking in Hand Gesture Recognition. Our research aims to leverage CNN technology to recognize gestures in both static and dynamic modes, and then deploy the trained model in real-time applications

Monotherapy efficacy of blood-brain barrier permeable small molecule reactivators of protein phosphatase 2A in glioblastoma

Glioblastoma is a fatal disease in which most targeted therapies have clinically failed. However, pharmacological reactivation of tumour suppressors has not been thoroughly studied as yet as a glioblastoma therapeutic strategy. Tumour suppressor protein phosphatase 2A is inhibited by non-genetic mechanisms in glioblastoma, and thus, it would be potentially amendable for therapeutic reactivation. Here, we demonstrate that small molecule activators of protein phosphatase 2A, NZ-8-061 and DBK-1154, effectively cross the in vitro model of blood-brain barrier, and in vivo partition to mouse brain tissue after oral dosing. In vitro, small molecule activators of protein phosphatase 2A exhibit robust cell-killing activity against five established glioblastoma cell lines, and nine patient-derived primary glioma cell lines. Collectively, these cell lines have heterogeneous genetic background, kinase inhibitor resistance profile and stemness properties; and they represent different clinical glioblastoma subtypes. Moreover, small molecule activators of protein phosphatase 2A were found to be superior to a range of kinase inhibitors in their capacity to kill patient-derived primary glioma cells. Oral dosing of either of the small molecule activators of protein phosphatase 2A significantly reduced growth of infiltrative intracranial glioblastoma tumours. DBK-1154, with both higher degree of brain/blood distribution, and more potent in vitro activity against all tested glioblastoma cell lines, also significantly increased survival of mice bearing orthotopic glioblastoma xenografts. In summary, this report presents a proof-of-principle data for blood-brain barrier-permeable tumour suppressor reactivation therapy for glioblastoma cells of heterogenous molecular background. These results also provide the first indications that protein phosphatase 2A reactivation might be able to challenge the current paradigm in glioblastoma therapies which has been strongly focused on targeting specific genetically altered cancer drivers with highly specific inhibitors. Based on demonstrated role for protein phosphatase 2A inhibition in glioblastoma cell drug resistance, small molecule activators of protein phosphatase 2A may prove to be beneficial in future glioblastoma combination therapies.Peer reviewe

Design of Suspension System for an All-Terrain Vehicles

The main agenda of this paper is to study the different parameters or characteristics of suspension system of an ATV. It is very much important for the suspension system that the wheel should be in contact with road surface, because there are some forces acting on the vehicle from downside, is referred as ground forces or road forces. We have designed front suspension as an A-Arm type and that of rear as an H-Arm type. Both the suspension systems are independent suspension systems. For these types of suspension systems, we required to calculate the important parameters like ride rate, roll rate, natural frequency, wheel rate, motion ratio, spring rate, damping ratio and factor of safety. By calculating all the parameters further we have done analysis of this parameters by solid work software and LOTUS Shark