Journal of Electrical Engineering and Automation - June 2020
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48
(FIVE YEARS 48)

H-INDEX

2
(FIVE YEARS 2)

Published By Inventive Research Organization

2582-3051
Updated Wednesday, 28 July 2021

2021 ◽  
Vol 3 (2) ◽  
pp. 65-78
Author(s):  
Bindhu V

A customer relationship management (CRM) system based on Artificial Intelligence (AI) is used to discover critical success factors (CSF) in order to improve the automated business process and deliver better knowledge management (KM). Moreover, different factors contribute towards achieving efficient knowledge management in CRM systems with AI schemes. Identifying the key elements may be accomplished in a variety of ways. For this purpose, Delphi technique, nominal group technique, and brainstorming approach are used. Using the interpretive structural modelling (ISM) approach, ten key variables, significance degree, and interaction are determined. CSFs such as funding, leadership, and support are the most important of the ten variables identified for integrating KM, CRM, and AI. This approach has the potential to significantly improve the business processes.


2021 ◽  
Vol 3 (2) ◽  
pp. 79-91
Author(s):  
Subarna Shakya

Thermal imaging is utilized as a technique in agricultural crop water management due to its efficiency in estimating canopy surface temperature and the ability to predict crop water levels. Thermal imaging was considered as a beneficial integration in Unmanned Aerial Vehicle (UAV) for agricultural and civil engineering purposes with the reduced weight of thermal imaging systems and increased resolution. When implemented on-site, this technique was able to address a number of difficulties, including estimation of water in the plant in farms or fields, while considering officially induced variability or naturally existing water level. The proposed effort aims to determine the amount of water content in a vineyard using the high-resolution thermal imaging. This research work has developed an unmanned aerial vehicle (UAV) that is particularly intended to display high-resolution images. This approach will be able to generate crop water stress index (CWSI) by utilizing a thermal imaging system on a clear-sky day. The measured values were compared to the estimated stomatal conductance (sg) and stem water (s) potential along the Vineyard at the same time. To evaluate the performance of the proposed work, special modelling approach was used to identify the pattern of variation in water level. Based on the observation, it was concluded that both ‘sg’ and ‘s’ value have correlated well with the CWSI value by indicating a great potential to monitor instantaneous changes in water level. However, based on seasonal changes in water status, it was discovered that the recorded thermal images did not correspond to seasonal variations in water status.


2021 ◽  
Vol 3 (1) ◽  
pp. 55-64
Author(s):  
Bindhu V ◽  
Ranganathan G

In this paper, we examine the microgrids and the long-term dynamic capacity expansion planning in their architecture. Many resources contribute towards the supply to microgrid such as energy, micro gas turbine, solar and wind storage system. Moreover the electric vehicle charging stations use these microgrids as a source of electricity. The electric vehicles that are used in charging stations are based on vehicle-to-grid wherein it is possible to regulate the charging rate and time and to transmit energy to the microgrid. Hence, these charging stations are found to be present in generating unit or flexible load. In the microgrid, the capacity expansion planning is initiated to expand the capacity of battery, wind turbine, solar and micro turbine energy storage system. We have elaborated a 6–year planning horizon, targeting a long term plan through capacity expansion. On the other hand, we have also conducted a short term plan simultaneously to improve the hourly operation of electric vehicle charging station, energy and micro turbine storage system. An expansion of about 200% on wind system is used such that expansion cost is about 53% and incorporation of further resources will increase it by 58% in terms of cost.


2021 ◽  
Vol 3 (1) ◽  
pp. 44-54
Author(s):  
Vivekanadam B ◽  
Karuppusamy P.

The hybrid energy sources and their behavior may be controlled by monitoring and sensing with the help of a single or multiple control strategies incorporated in the energy management system. Utilization of the battery state of charge (SOC) and reduction in the consumption of hydrogen are the main objectives of battery and fuel cell (FC) based renewable hybrid power systems. The lifespan of the hydrogen storage as well as battery may be improved while improving the cost reduction benefits using these parameters. These objectives are achieved by designing an integrated energy management system (IEMS). A battery, supercapacitor (SC), proton-exchange membrane fuel cell (PEMFC) and Photovoltaic (PV) cell are combined to provide the required power to a predetermined load to form a renewable hybrid power system (RHPS). During daylight, PV is the master power source in RHPS. During the shading or night time, FC is the secondary power source. When high load power is required, the FC is supported by the battery. Load fast change or load transient operation is performed by the SC. Maximum SOC value and minimum hydrogen consumption value is obtained simultaneously based on predetermined functions that aids in switching between the state machine control, frequency decoupling and fuzzy logic based integrated strategies in the proposed energy management model. When compared to the stand-alone strategies, the integrated model achieves increased SOC and reduced hydrogen consumption. When maximum value of PV power is attained, the surplus power is displayed at the load. The battery is charged using this surplus power. The stand-alone strategies and integrated strategy results are compared. The attainment of the goal of IEMS is confirmed from this comparison.


2021 ◽  
Vol 3 (1) ◽  
pp. 34-43
Author(s):  
Nayana

Often, coalitions are formed by the hierarchical integrated energy systems (HIESs) and their evolutionary process which is driven by the benefits of stakeholders and consolidate energy consumers and producers. Several literature have failed to analyze the operation of HIES under the impact of multiple coalitions. At the lower level, multiple users, in the middle level, the multiple distributed energy stations (DESs) and at the upper level, one natural gas and one electricity utility company structure is used for analyzing the HIES operation with a trading scheme. The Lagrange function is used for deriving the optimal operation strategy based analytical function for each probable coalition and each market participant comprising of users and the DESs. It is evident from the results that in a single coalition, the profits linked to other DESs will decrease while increasing the profit of one DES with technological enhancements, users show an aversion towards DESs with high generation coefficient while they are attracted to the ones that enable reduction of heat and electricity price. Maintaining their isolation is preferred by high heat and electricity consuming DESs at the same energy price. Other coalitions and their operations are not affected by the change in parameters of one coalition.


2021 ◽  
Vol 3 (1) ◽  
pp. 24-33
Author(s):  
Mugunthan S. R. ◽  
Vijayakumar T.

In order to increase the utilization of artificial intelligence in smart grids, it is necessary to have an accurate state estimation. This criterion is an essential aspect, along with other functionalities for successful control and monitoring. As the internet and utility network form an increasing interconnectivity, it leaves the state estimators in a state of vulnerability to various attacks like bad data detection and false data injection. Though there are many research-works done on detectors for false data detection, depending on the contingencies, the counter measure will also vary. A sudden change physically will have a high impact on the available data, resulting in incorrect classification of the future instances. As a means of addressing this issue, we have analyzed the differences between data manipulation change and physical grid change for better understanding. Focusing on distribution change, we used outage and have introduced analysis of historical data. The goal is to determine the important aspects thereby identifying the scope. We have also used statistical hypothesis and dimensionality reduction for testing purpose. We have used IEEE 14 bus system for evaluation based on the scenario of attack: under concept drift and without concept drift. The result shows a more accurate output when compared with the other previously existing methodologies using concept drift.


2021 ◽  
Vol 3 (1) ◽  
pp. 15-23
Author(s):  
Joy Iong Zong Chen

Because of the development of highways as well as the increased number of vehicles usage, much attention is required on to develop an efficient and safe intelligent transportation system. The aspect of identifying specific objects present in an image is an important criteria in areas like digital image processing and computer vision. Because of the different formats, colours, shapes, viewpoints and non-uniform illumination environment of license plates, recognising the same proves to be a tasking issue. In this paper, we present a vehicle license plate recognition model using convolutional neural network (CNN) and K-means clustering based segmentation. This methodology works on three major steps such as detection and segmentation using K-means clustering and recognition of the number in the license plate using CNN model. We have also used location and detection algorithms to improve the accuracy of detection. The experimental investigation is carried out using datasets and the observed simulation results prove that the proposed mode is more effective than the other methodologies introduced so far.


Author(s):  
Wang Haoxiang ◽  
Smys S

In this digital era, a huge amount of money had been laundered via digital frauds, which mainly occur in the timeframe of electronic payment transaction made by first-time credit/debit card users. Currently, Finance organizations are facing several fraud attempts and it likely happens due to the current infrastructure, which only has an older database.. The current infrastructure diminishes the working environment of any finance organization sector with frequent fraud attempts. In this perspective, the roposed research article provides an overview for the development of an automated prevention system for any finance organization to protect it from any fraudulent attacks. The proposed automated case management system is used to monitor the expenses of the behavior study of users by avoiding the undesirable contact. The proposed research work develops a new management procedure to prevent the occurrence of electronic fraud in any finance organization. The existing procedure can predict digital fraud with an old updated database. This creates disaster and destructive analysis of the finance segment in their procedure. The cyber fraud phenomenon prediction is used to predict the fraud attempt with content-based analysis. The lack of resources is one of the enormous challenges in the digital fraud identification domain. The proposed scheme addresses to integrate all safety techniques to safeguard the stakeholders and finance institutions from cyber-attacks.


2021 ◽  
Vol 2 (4) ◽  
pp. 168-180
Author(s):  
Edriss Eisa Babikir Adam ◽  
Sathesh

The velocity measurement of liquid flow in a channel is a challenging task still. The chemical reaction and heat transfer condition are one of the internal elements of liquid for any process and production industries. Besides, the flow velocity is a significant factor to measure temperature in liquid flow. This research article reviews an overview of the velocity of fluid measurement techniques by advanced concepts in the multiphase measurement system. Based on luminescence properties, the velocity measurement is derived by large particle spectrum analysis due to laser excitation in the machine. This mathematical model analysis is used to measure the velocity of a fluid with the same particles of velocimetry. This development can be derived from the many changes of measurement factors in the heat transfer mechanism. The flowmeter design will be optimized with this mathematical proof for phosphor thermometry measurement technique. This research article contains phosphor thermometry for the measurement with implementing techniques and how this thermometry will be appropriated for temperature measurement in liquid flow. It gives the compare graphic representation for various work of temperature measurement in liquid flow of common aspects. The successful metric measurement can be ended by various intrinsic keys to the future development of the procedure. The velocity measurement performs by LDA and PIV methods. The advantages and limitations have been discussed for both the method at most recent.


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