Corruption Control, Renewable-led Energy Transition and Carbon Emissions: Empirical Evidence from Panel Data of Multi-countries

This paper focuses on the carbon emission reduction effect of anti-corruption mediated by renewable-led energy transition based on the panel data of 98 countries from 1996 to 2015. Since the mediation model is estimated by estimating a series of multiple regression equations, the total, direct and indirect effects can be separated out to clarify the conduction path between corruption control, renewable energy and carbon emissions. Owing to confirmation of the Sobel-Goodman mediation tests, renewable energy acts as a significant mediator through which corruption control contributes to emission reduction, regardless of the indicator is total carbon emissions, carbon emissions per capita or carbon emission intensity. For policymakers and regulators, there needs to be more emphasis on eliminating corruption in the increased penetration of renewable energy and not being seduced by traditional lobbyists. Particularly for developing countries, the effective way to reduce emissions is to remove institutional barriers in priority areas including the energy and resources sectors to cleaner-oriented energy transition.

Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites

The present work reports an efficient way of capturing real-time crack propagation in concrete structures. The modified spectral analysis based algorithm and finite element modeling (FEM) were utilised for crack detection and quantitative analysis of crack propagation. Crack propagation was captured in cement-based composite (CBC) containing saw dust and M20 grade concrete under compressive loading using a simple and inexpensive 8-megapixel mobile phone camera. The randomly selected images showing crack initiation and propagation in CBCs demonstrated the crack capturing capability of developed algorithm. A measure of oriented energy was provided at crack edges to develop a similarity spatial relationship among the pairwise pixels. FE modelling was used for distress anticipation, by analysing stresses during the compressive test in constituents of CBCs. FE modeling jointly with the developed algorithm, can provide real-time inputs from the crack-prone areas and useful in early crack detection of concrete structures for preventive support and management.

Development of Multi-tasking, Multi-powered Machine for Agriculture Purpose

At present famers pay a lot of money on machines that work with them decline work and increment yield of harvests. The Multipurpose machine is accustomed to planting the seeds and manure shower into land and seed planting for making heaps of plant creation in rural field. It is a mechanical gadget here no electrical or other force source is not needed. The expense of this machine is low and simple to work straightforward in development. As there is huge advancement in the field of designing the current situation makes us to discover answer for serious issues looked by the farming field. The agrarian business is behind elective reciprocal ventures in exploitation robots because of the sort of occupations worried in agribusiness are no and burrow. The fundamental target of this task is to improve the current method of cultivating by presenting multipurpose gear. The greater part of the Farmers in India is affordable frail because of which they cannot buy work vehicles and other expensive hardware's subsequently they utilize conventional strategy for cultivating. This will not fulfill need of energy necessity of the cultivating when contrasted with different nations on the planet. So, work has been completed to plan and manufacture a multipurpose agribusiness vehicle, to perform rural tasks like furrowing, seed planting and showering of pesticides or water utilizing the sun-oriented energy. Likewise in the place of human and animal endeavors can be supplanted by this component of machine which will be reasonable for limited scope rancher from efficient and exertion perspective. So, we are fostering this gear which will fulfill this need and to tackle work issues.

Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites

The present work reports an efficient way of capturing real-time crack propagation in concrete structures. The modified spectral analysis based algorithm and finite element modeling (FEM) were utilised for crack detection and quantitative analysis of crack propagation. Crack propagation was captured in cement-based composite (CBC) containing saw dust and M20 grade concrete under compressive loading using a simple and inexpensive 8-megapixel mobile phone camera. The randomly selected images showing crack initiation and propagation in CBCs demonstrated the crack capturing capability of developed algorithm. A measure of oriented energy was provided at crack edges to develop a similarity spatial relationship among the pairwise pixels. FE modelling was used for distress anticipation, by analysing stresses during the compressive test in constituents of CBCs. FE modeling jointly with the developed algorithm, can provide real-time inputs from the crack-prone areas and useful in early crack detection of concrete structures for preventive support and management.

Development of a Business-Process-Oriented Energy Management System for Buildings

The aim of this research paper is to identify and minimize the gap in energy performance of buildings, taking into consideration not only the qualitative assessment theoretically calculated according to design-phase assumptions about the operation of the building, but also its actual operation that involves occupancy effects. A smart energy management system is developed, focusing on the human factor and the individual operational procedures that are carried out and affect the energy efficiency of buildings. A dynamic approach based on the continuous monitoring of energy performance indicators for buildings is under development, considering all significant loads and creating a dynamic correlation between energy efficiency and the different ecosystem's elements (sites/offices, groups, and processes). The proposed system applies to facilities in the Department of Civil Engineering at University of Patras, and the results are positive towards reducing energy consumption.

The Nexus between Transformational Leadership and Team Effectiveness: A Conceptual Review

Transformational leaders motivate followers to achieve performance beyond expectations by transforming their attitudes, beliefs, and values as opposed to simply gaining compliance. Transformational leadership was conceptualized as being composed by four independent dimensions, known as the four “I”s : inspirational motivation (the sense of drive that the leader inspires in followers and that produces additional, goal-oriented energy for the group or organization), intellectual stimulation (the boost in creativity in followers that the leader stimulates by encouraging an independent and innovative way of thinking), idealized influence (exemplary behaviour of the leader that generates respect and trust and makes followers proud of their group and organization), and individualized consideration (perception that the leader genuinely cares for followers and their well-being). This paper examines the nexus between transformational leadership and team effectiveness.

Experimental Analysis of Solar PV Module by Cleaning & Cooling for Optimizing Efficiency

Sun-oriented energy is a resource of energy on earth. Sun-based energy can be gotten as warmth to create power or it is additionally conceivable to change over sun-based energy straightforwardly into power. The main objective of this project is to catch maximum solar radiation from the sun and increase the overall efficiency of solar panels. To design a cleaning mechanism that runs across the length of the panel. To avoid dust-associated problems on the solar panels. The temperature in case of water cooling system was lowered down to 410C from the ambient temperature 440C at 14:00 in the morning of 21/09/2020. The power output was 4.789W and in case of set up having dust on the surface of the solar panel the temperature rose to 490C with power reduced to 4.00185W. The temperature in case of water cooling system was lowered down to 400C from the ambient temperature 430C at 14:00 in the morning of 22/09/2020. The power output was 4.89W and in case of set up having dust on the surface of the solar panel the temperature rose to 490C with power reduced to 4.00185W. The outcomes for day 3 of the experimentation were also recorded on 23/09/2020 and the setup with a cooling system produces a maximum power of 5.20 W by lowering the temperature to 370C from the maximum ambient temperature of the day 410C

Reinforcement Learning-Based BEMS Architecture for Energy Usage Optimization

Currently, many intelligent building energy management systems (BEMSs) are emerging for saving energy in new and existing buildings and realizing a sustainable society worldwide. However, installing an intelligent BEMS in existing buildings does not realize an innovative and advanced society because it only involves simple equipment replacement (i.e., replacement of old equipment or LED (Light Emitting Diode) lamps) and energy savings based on a stand-alone system. Therefore, artificial intelligence (AI) is applied to a BEMS to implement intelligent energy optimization based on the latest ICT (Information and Communications Technologies) technology. AI can analyze energy usage data, predict future energy requirements, and establish an appropriate energy saving policy. In this paper, we present a dynamic heating, ventilation, and air conditioning (HVAC) scheduling method that collects, analyzes, and infers energy usage data to intelligently save energy in buildings based on reinforcement learning (RL). In this regard, a hotel is used as the testbed in this study. The proposed method collects, analyzes, and infers IoT data from a building to provide an energy saving policy to realize a futuristic HVAC (heating system) system based on RL. Through this process, a purpose-oriented energy saving methodology to achieve energy saving goals is proposed.