Papers by Md. Asraful Haque
EAI Endorsed Transactions on AI and Robotics, 2024
Sora, OpenAI's latest text-to-video model, is particularly skilled at understanding the physical ... more Sora, OpenAI's latest text-to-video model, is particularly skilled at understanding the physical world, and all of the content it generates mostly consistent with the laws of physics. This indicates that Sora already has the beginnings of a world model and has the potential to become an excellent physics engine in the near future. This paper analyses and explains in detail the potential applications of Sora in physics engines and virtual reality. In addition, its advantages and disadvantages over traditional physics engines are compared based on its unique behavioural characteristics. Finally, it looks forward to the application of Sora in other fields.
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AI and Ethics, Springer Nature, 2024
Artificial intelligence has been around for a while, but suddenly it has received more attention ... more Artificial intelligence has been around for a while, but suddenly it has received more attention than ever before. Thanks to innovations from companies like Google, Microsoft, Meta, and other major brands in technology. OpenAI, though, has triggered the button with its groundbreaking invention-"ChatGPT". ChatGPT is a Large Language Model (LLM) based on Transformer architecture that has the ability to generate human-like responses in a conversational context. It uses deep learning algorithms to generate natural language responses to input text. Its large number of parameters, contextual generation, and open-domain training make it a versatile and effective tool for a wide range of applications, from chatbots to customer service to language translation. It has the potential to revolutionize various industries and transform the way we interact with technology. However, the use of ChatGPT has also raised several concerns, including ethical, social, and employment challenges, which must be carefully considered to ensure the responsible use of this technology. The article provides an overview of ChatGPT, delving into its architecture and training process. It highlights the potential impacts of ChatGPT on the society. In this paper, we suggest some approaches involving technology, regulation, education, and ethics in an effort to maximize ChatGPT's benefits while minimizing its negative impacts. This study is expected to contribute to a greater understanding of ChatGPT and aid in predicting the potential changes it may bring about.
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BenchCouncil Transactions on Benchmarks, Standards and Evaluations
The Reserve Bank of India (RBI) has recently launched the country’s first pilot project for the d... more The Reserve Bank of India (RBI) has recently launched the country’s first pilot project for the digital currency known as the digital rupee or e-Rupee (e₹). The launch of the digital rupee represents a significant advancement in the “Digital India” revolution. It will be a fantastic opportunity for India since it might make conducting business easier while enhancing the security and resilience of the overall payments system. Digital currency attempts to rapidly progress monetary policy to disrupt physical money, lower the cost of financial transactions, and reshape how the money will circulate. Although the effects of digital currency cannot be foreseen, it is extremely important to thoroughly research digital currency and its effects on the operational stage. The development of a digital currency infrastructure has some challenges in terms of performance, scalability, and different usage scenarios. The article clarifies what e₹ is. How does it work? What makes it different from cryptocurrencies? What are the major challenges and prospects for it in India?
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International Journal of Modelling and Simulation, Apr 12, 2023
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Journal of reliability and statistical studies, Jul 27, 2022
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Many software reliability growth models (SRGMs) have been introduced since 1970s. Most of the mod... more Many software reliability growth models (SRGMs) have been introduced since 1970s. Most of the models consider that the faults are independent and debugging method is perfect. In this paper, we present a new SRGM under the assumption that the faults are mutually dependent i.e. repairing a detected fault may introduce new faults or it may simultaneously correct some future faults without any additional effort. The model is validated on two real datasets that are widely used in many studies to demonstrate its applicability. The comparisons with eight established models in terms of Mean Square Error (MSE), Variance, Predictive Ratio Risk (PRR) and R2 have been presented.
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EAI endorsed transactions on artificial intelligence and robotics, May 3, 2023
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Lecture Notes on Data Engineering and Communications Technologies
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EAI Endorsed Transactions on AI and Robotics
The ChatGPT, a powerful conversational tool trained by OpenAI is considered to be a revolutionary... more The ChatGPT, a powerful conversational tool trained by OpenAI is considered to be a revolutionary model in the field of artificial intelligence and natural language processing. It has received a lot of attention because of its potential to automate a variety of tasks and possibly have an impact on sectors like translation, customer service, and content creation. It uses GPT-3 (Generative Pre-training Transformer 3) language model to process user queries. GPT-3 has been trained on a very large dataset, which includes a wide range of texts from the internet and other sources. This has given it a broad knowledge base and has allowed it to generate responses to a wide range of prompts that are coherent and human-like. GPT-3 is one of the largest and most powerful language models to date, and it has the ability to perform a wide range of natural language processing tasks. After its release, ChatGPT has become a trending tool for the public to experiment and explore what it is capable of....
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EAI Endorsed Transactions on AI and Robotics, 2023
The ChatGPT, a powerful conversational tool trained by OpenAI is considered to be a revolutionary... more The ChatGPT, a powerful conversational tool trained by OpenAI is considered to be a revolutionary model in the field of artificial intelligence and natural language processing. It has received a lot of attention because of its potential to automate a variety of tasks and possibly have an impact on sectors like translation, customer service, and content creation. It uses GPT-3 (Generative Pre-training Transformer 3) language model to process user queries. GPT-3 has been trained on a very large dataset, which includes a wide range of texts from the internet and other sources. This has given it a broad knowledge base and has allowed it to generate responses to a wide range of prompts that are coherent and human-like. GPT-3 is one of the largest and most powerful language models to date, and it has the ability to perform a wide range of natural language processing tasks. After its release, ChatGPT has become a trending tool for the public to experiment and explore what it is capable of. In this article, we want to clarify what ChatGPT is. How does it work? What makes it different from other chatbots or search engines like Google? What are the major challenges and future prospects for it?
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Advances in Intelligent Systems and Computing, 2021
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Journal of Reliability and Statistical Studies
With the increase of human dependency over computer software, considerable effort has been given ... more With the increase of human dependency over computer software, considerable effort has been given to determine software reliability effectively. A huge variety of software reliability growth models (SRGMs) have been developed to explain statistically how system reliability varies over time by monitoring the failure data sets during the testing process. The paper proposes a new SRGM based on taking into account the fault removal efficiency which is the ratio of corrected and detected faults during the testing process. The new model is compared to some known model from the relevant literature for two certain data sets and it turns out to perform better in terms of four GOF benchmarks.
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Communication and Computing Systems, 2019
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2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 2015
Authentication mechanism provides the basis for access control in order to ensure the information... more Authentication mechanism provides the basis for access control in order to ensure the information security. Relying on the traditional text based password method to authenticate users is not effective anymore due to its vulnerabilities. Many alternative solutions such as the use of multi level authentication, graphical password or biometric password have been suggested in the last few decades. Keystroke dynamics is a low cost biometric solution as it does not require any special hardware. The assumption behind keystroke dynamics is that typing rhythm is unique for any individual. In this paper, a simple and secure authentication scheme has been produced by adding this biometric feature with the existing ID/password method.
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The most common computer authentication method is to use alphanumerical usernames and passwords. ... more The most common computer authentication method is to use alphanumerical usernames and passwords. This method has been shown to have significant drawbacks. They have problems such as being hard to remember, vulnerable to guessing, phishing, dictionary attack, key-logger, and social engineering. Researchers have come out with an alternate password scheme called graphical password where they tried to improve the security and avoid the weakness of conventional password. Psychological studies say that human can remember pictures better than text. But graphical password scheme also has several drawbacks like shoulder-surfing problem, more storage space required and hard to implement compared to text passwords. In this paper, we have suggested a hybrid authentication system combining graphical and text passwords. User authentication has been verified in two steps to increase the security. We believe that in our system, users will be able to select stronger passwords through better user int...
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The classic challenge in writing object-oriented programs (OOP) is finding the right decompositio... more The classic challenge in writing object-oriented programs (OOP) is finding the right decomposition into classes and objects. This problem arises whenever programmers need to deal with crosscutting concerns. Aspect Oriented Programming (AOP) is a well known methodology to overcome this issue by modularizing crosscutting concerns using aspects. Programmers are slowly realizing the importance of AOP since it creates cleaner code. But AOP breaks encapsulation in joint points and modifies flow control, making the source code hard to understand.AOP is not very well tested and documented and there is a lack of specific development tools. That’s why it is mainly used only for maintaining the system, rather than being a good choice for developing the initial version of the system. The main goal of this paper is to increase the acceptability of AOP by offering some tips against its drawbacks.
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The conventional Character Recognition for English character has been widely analyzed in the last... more The conventional Character Recognition for English character has been widely analyzed in the last few decades and now highly advanced for creating different technology driven applications. Indian languages which are relatively complicated in terms of geometrical shape are far behind from this perspective. Government office, library, bank and publishing houses now prefer digital document processing to make their services fast and economical. Devanagari is the official script (Hindi language) of India, and spoken by major population of the country. Many researchers have shown interest mainly on recognition of digitally printed Devanagari character. However, very little work has been done in the area of handwritten Devanagari character recognition. Therefore, there is a need to focus in this handwritten Devanagari character recognition as it will help in solving many real life problems like bank check processing, post offices and government offices in India where most of the applicatio...
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IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012), 2012
Handwritten signatures are socially and legally well accepted as a convenient means of writer ver... more Handwritten signatures are socially and legally well accepted as a convenient means of writer verification, document authentication and authorisation. It is a very difficult task to decide automatically whether two signatures, given as scanned images are written by the same person or not. In this paper, an effective signature verification method that depends on the structural property of different parts of the image has been proposed. It uses a new technique for feature extraction by splitting the image into several blocks. The main features which play the key role in this technique are image center and block centers, Euclidean distance between image center to each block center and number of pixels in each block. Each block is assigned some weightage according to its successful appearance in image formation. Performance of the scheme has been measured and presented in terms of FAR (False Acceptance Rate) and FRR (False Rejection Rate). The result shows that the method eliminates ran...
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Information Security is the most describing problem in present times. To cop up with the security... more Information Security is the most describing problem in present times. To cop up with the security of the information, the passwords were introduced. The alphanumeric passwords are the most popular authentication method and still used up to now. However, text based passwords suffer from various drawbacks such as they are easy to crack through dictionary attacks, brute force attacks, keylogger, social engineering etc. Graphical Password is a good replacement for text password. Psychological studies say that human can remember pictures better than text. So this is the fact that graphical passwords are easy to remember. But at the same time due to this reason most of the graphical passwords are prone to shoulder surfing. In this paper, we have suggested a shoulder-surfing resistant graphical password authentication method. The system is a combination of recognition and pure recall based techniques. Proposed scheme can be useful for smart hand held devices (like smart phones i.e. PDAs, i...
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Papers by Md. Asraful Haque