Volume 10 Issue 2                          April-June 2022

Assessment of the satisfaction of Bus passengers in Dhaka, Bangladesh [pp 01-08]

https://doi.org/10.55083/irjeas.2022.v10i02003

Country- CHINA, BANGLADESH

Awal Ahmed Bappy, Md Abul Bashar, Md. Foysal Ahmed Shobuj, Md. Muktadir Sumon, Md. Aminur Islam

CROSSMARK

Abstract— Increased population results in an increase in travel demand. Greater road length and construction of new roads result in faster and longer travels and increase car ownership, which contributes to increased traffic congestion and pollution. The bus form of travel is a critical component of resolving this issue. A bus can carry 30-40 passenger per trip on the other hand a private car carries 2-3 passengers per trip. So, bus transport could decrease the number of vehicles in road if it can provide better service quality in bus mode. In this experiment, the main objectives are to better understand overall passengers’ satisfaction in bus transport in Uttara-Gazipur route and predict the individual factors contributing to the comfort of the bus modes in this route. To evaluate this result, a questionnaire survey form was created with about 19 service quality parameters such as safe speed, temperature, noise, required time, waiting time for bus, station service, seat comfort service….

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Maximum Power Tracking of a Solar System using Improved Particle Swarm Optimization Algorithm [pp 09-15]

https://doi.org/10.55083/irjeas.2022.v10i02004

Country- INDIA

Palwinder Singh, Manpreet Kaur, Dr. Naveen Dhillon

CROSSMARK

Abstract— For photovoltaic systems to be more efficient, maximum power point (MPP) tracking of the solar arrays is necessary. The output power of solar arrays is influenced by two factors: temperature and solar irradiation. It is also possible that a traditional MPP tracker would operate incorrectly because to the mismatch effect produced by partial shadow. There are many maximum values for the solar array power–current characteristics when it is partly shaded. For PV systems in partly shadowed conditions, this research provides an MPPT approach with enhanced particle swarm optimization algorithm….

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Bumble Bee Optimization Algorithm based Optimized Data Hiding for Image Steganography [pp 16-22]

https://doi.org/10.55083/irjeas.2022.v10i02005

Country- INDIA

Inderjeet Singh, Sarabjeet Kaur

CROSSMARK

Abstract—The most important aspect of all forms of confidential communication is security. Although cryptography can be used to safeguard information, it also reveals the presence of covert communication. As a result, steganography, the art of secret communication, was devised. Steganography conceals the presence of covert communication by putting the secret information in a cover image. The inserting process generates the variability in the cover image that negatively impact the imperceptibility parameter. In order to enhance the imperceptibility parameter, bumble bee optimization algorithm based optimized data hiding method is proposed in this paper. The bumble bee optimization algorithm searches the optimal secret data order before data hiding. After determining the optimal secret data order, the data hiding is …

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A Privacy-Preserving Method for Smart Grid Data using Swarm Intelligence Algorithm [pp 23-32]

https://doi.org/10.55083/irjeas.2022.v10i02006

Country- INDIA

Mukesh Kumar, Puneet Jain, Ajay Kumar

CROSSMARK

Abstract—Users’ electricity use may be shared nearly instantly with utilities companies on the smart grid due to Smart Meters (SMs). The data is communicated between individuals in the company, which has prompted privacy issues. In this paper, a privacy-preserving method for smart meter data is designed using a swarm intelligence algorithm. In the swarm intelligence algorithm, JAYA algorithm is taken under consideration and deployed for key generation in the planned method. After that, an XOR operation was performed between the smart meter sensitive data and key generated using a JAYA algorithm for encryption purposes. In MATLAB, numerous performance metrics are computed for the planned technique’s performance evaluation. From Simulation results it is clear that the planned method gives better results as compared to the previous methods.

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Maximum Power-Point Tracking of a Photovoltaic System using Hybrid Combination of GA-PSO Algorithm and PID Controller [33-41]

https://doi.org/10.55083/irjeas.2022.v10i02007

Country- INDIA

Vseem Zahir, Puneet Jain

CROSSMARK

Abstract—Maximum power point tracking (MPPT) techniques are considered a crucial part in photovoltaic system design to maximise the output power of a photovoltaic array. PID controllers are deployed in the photovoltaic system to track the maximum power point. The performance of the PID controller is influence by controlling parameters. In this paper, we have calculated the optimal parameter values of PID controller using the hybrid combination of GA-PSO algorithm. The proposed method Simulink is designed in MATLAB. After that, various parameters such as settling time, rise time, overshoot, peak time, undershoot, rotor speed, and power generated. The results show that the proposed method provides lower undershoot and settling time as compared to the existing method.

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