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90 results on '"Rahman, Akhlaqur"'

1. Smart Helmet

Author

Tiwari, Deo Raj, Sharma, Akshay Kumar, Rahman, Akhlaqur, Kamran, Ahmar, and Agrahari, Ajit

Published
2019
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2. Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

Author

Afrin, Mahbuba, Jin, Jiong, Rahman, Akhlaqur, Rahman, Ashfaqur, Wan, Jiafu, and Hossain, Ekram

Subjects
Computer Science - Robotics, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Robotic applications nowadays are widely adopted to enhance operational automation and performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0, agriculture, healthcare, and disaster management. These applications are composed of latency-sensitive, data-heavy, and compute-intensive tasks. The robots, however, are constrained in the computational power and storage capacity. The concept of multi-agent cloud robotics enables robot-to-robot cooperation and creates a complementary environment for the robots in executing large-scale applications with the capability to utilize the edge and cloud resources. However, in such a collaborative environment, the optimal resource allocation for robotic tasks is challenging to achieve. Heterogeneous energy consumption rates and application of execution costs associated with the robots and computing instances make it even more complex. In addition, the data transmission delay between local robots, edge nodes, and cloud data centres adversely affects the real-time interactions and impedes service performance guarantee. Taking all these issues into account, this paper comprehensively surveys the state-of-the-art on resource allocation and service provisioning in multi-agent cloud robotics. The paper presents the application domains of multi-agent cloud robotics through explicit comparison with the contemporary computing paradigms and identifies the specific research challenges. A complete taxonomy on resource allocation is presented for the first time, together with the discussion of resource pooling, computation offloading, and task scheduling for efficient service provisioning. Furthermore, we highlight the research gaps from the learned lessons, and present future directions deemed beneficial to further advance this emerging field.

Published
2021
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7. Application of Machine Learning Techniques in Aquaculture

Author

Rahman, Akhlaqur and Tasnim, Sumaira

Subjects
Computer Science - Computational Engineering, Finance, and Science, Computer Science - Learning
Abstract

In this paper we present applications of different machine learning algorithms in aquaculture. Machine learning algorithms learn models from historical data. In aquaculture historical data are obtained from farm practices, yields, and environmental data sources. Associations between these different variables can be obtained by applying machine learning algorithms to historical data. In this paper we present applications of different machine learning algorithms in aquaculture applications., Comment: 2 pages

Published
2014
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8. Ensemble Classifiers and Their Applications: A Review

Author

Rahman, Akhlaqur and Tasnim, Sumaira

Subjects
Computer Science - Learning
Abstract

Ensemble classifier refers to a group of individual classifiers that are cooperatively trained on data set in a supervised classification problem. In this paper we present a review of commonly used ensemble classifiers in the literature. Some ensemble classifiers are also developed targeting specific applications. We also present some application driven ensemble classifiers in this paper., Comment: Published with International Journal of Computer Trends and Technology (IJCTT)

Published
2014
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9. Block Motion Based Dynamic Texture Analysis: A Review

Author

Rahman, Akhlaqur and Tasnim, Sumaira

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Dynamic texture refers to image sequences of non-rigid objects that exhibit some regularity in their movement. Videos of smoke, fire etc. fall under the category of dynamic texture. Researchers have investigated different ways to analyze dynamic textures since early nineties. Both appearance based (image intensities) and motion based approaches are investigated. Motion based approaches turn out to be more effective. A group of researchers have investigated ways to utilize the motion vectors readily available with the blocks in video codes like MGEG/H26X. In this paper we provide a review of the dynamic texture analysis methods using block motion. Research into dynamic texture analysis using block motion includes recognition, motion computation, segmentation, and synthesis. We provide a comprehensive review of these approaches., Comment: Published with International Journal of Computer Trends and Technology (IJCTT)

Published
2014
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13. Design Optimization of a Grid-Tied Hybrid System for a Department at a University with a Dispatch Strategy-Based Assessment.

Author

Ishraque, Md. Fatin, Rahman, Akhlaqur, Shezan, Sk. A., Shafiullah, G. M., Alenezi, Ali H, Hossen, Md Delwar, and Bintu, Noor E Nahid

Abstract

In this research project, the optimal design and design evaluation of a hybrid microgrid based on solar photovoltaics, wind turbines, batteries, and diesel generators were performed. The conventional grid-tied mode was used in addition to dispatch strategy-based control. The study's test location was the loads in the Electrical, Electronic and Communication Engineering (EECE) department at Pabna University of Science and Technology (PUST), Pabna, Bangladesh. DIgSILENT PowerFactory was employed to determine the power system-based behaviors (electrical power, current, voltage, and frequency) of the proposed hybrid system, while a derivative-free algorithm was used for the expense, optimal size, and emission assessments. While developing the microgrid, load following (LoF) and cycle charging (CyC) control were employed. The microgrid is supposed to have a 23.31 kW peak load requirement. The estimated microgrid's levelized cost of energy (LE), its net present cost (NC), its operating cost, and its annual harmful gas emissions were estimated in this work. Additionally, since the microgrid is grid-connected, the amount of energy output that might be exported to the grid was also estimated, which will potentially increase during blackouts. The power system responses found in this study ensure that the various microgrid components' voltage, frequency, current, and power outcomes are steady within the designated range, making the microgrid practical and robust. [ABSTRACT FROM AUTHOR]

Published
2024
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14. Using Energy Conservation-Based Demand-Side Management to Optimize an Off-Grid Integrated Renewable Energy System Using Different Battery Technologies

Author

Kumar, Polamarasetty P, primary, Rahman, Akhlaqur, additional, Nuvvula, Ramakrishna S. S., additional, Colak, Ilhami, additional, Muyeen, S. M., additional, Shezan, Sk. A., additional, Shafiullah, G. M., additional, Ishraque, Md. Fatin, additional, Hossain, Md. Alamgir, additional, Alsaif, Faisal, additional, and Elavarasan, Rajvikram Madurai, additional

Published
2023
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29. Detecting SARS-CoV-2 From Chest X-Ray Using Artificial Intelligence

Author

Ahsan, Md Manjurul, primary, Ahad, Md Tanvir, additional, Soma, Farzana Akter, additional, Paul, Shuva, additional, Chowdhury, Ananna, additional, Luna, Shahana Akter, additional, Yazdan, Munshi Md. Shafwat, additional, Rahman, Akhlaqur, additional, Siddique, Zahed, additional, and Huebner, Pedro, additional

Published
2021
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34. Mapping the Mitochondrial Regulation of Epigenetic Modifications in Association With Carcinogenic and Noncarcinogenic Polycyclic Aromatic Hydrocarbon Exposure

Author

Bhargava, Arpit, primary, Kumari, Roshani, additional, Khare, Surbhi, additional, Shandilya, Ruchita, additional, Gupta, Pushpendra Kumar, additional, Tiwari, Rajnarayan, additional, Rahman, Akhlaqur, additional, Chaudhury, Koel, additional, Goryacheva, Irina Yu, additional, and Mishra, Pradyumna Kumar, additional

Published
2020
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36. Contributors

Author

Ahmad, Usama, Ahmed, Ajaz, Akanda, Md. Khokon Miah, Aldemir, Ozan, Aleena, Altamish, Mohammad, Altuner, Elif Esra, Ansari, Shagufta Parveen, Arif, Muhammad, Babu, Gowri K., Bhabal, Sonal Rohidas, Bhardwaj, Gautam, Dar, Riyaz Ahmad, Dar, Umar Ali, Das, Subhankar, Dutta, Debarpan, Hafeez, Abdul, Hasan, Syed Misbahul, Havelikar, Ujwal, Hussain, Sahil, Ijinu, Thadiyan Parambil, Issa, Ghassan, Jadala, Shankaraswamy, Kalyani, Manjula Ishwara, Khan, Mohemmed Faraz, Khandare, Lina, Krishnakumar, Neenthamadathil Mohandas, Kumar, Arun, Kushwaha, Shom Prakash, Kushwaha, Poonam, Lonari, Siddheshwar B., Md Mumtaz, Sayed, Meena, Surya Nandan, Mehjabin, Sanzia, Mohan, Lakshmi, Mosaddik, Ashik, Mursal, Mohd, Naveed Ahmed, Qazi, Ozalp, Veli Cengİz, Phatake, Ravindra S., Prabha, Bernard, Qamer, Sahil, Rahman, Akhlaqur, Rode, Nitin, S., Saranya, Sakander, Norein, Sen, Fatih, Shahid, Adangam Purath, Shahrukh, Mohd, Shimpi, Navinchandra Gopal, Shoaib, Ambreen, Singh, Kuldeep, Singh, Rohit, Suresh, Salil, Tantray, Aafaq Ahmad, Torlak, Yasemin, and Zubair, Raniya K.

Published
2025
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