Computer Science http://digitalrepository.fccollege.edu.pk/handle/123456789/29 2026-06-24T04:09:35Z 2026-06-24T04:09:35Z Nasim, Sharoon Rehan, Mahnoor Sabahat, Nosheen http://digitalrepository.fccollege.edu.pk/handle/123456789/2639 2024-12-18T09:32:15Z 2020-11-01T00:00:00Z

Title: Emotional Understanding of an Image by Applying High-level Concepts on Image Parts Authors: Nasim, Sharoon; Rehan, Mahnoor; Sabahat, Nosheen Abstract: This paper is the outcome of the research that has been conducted to investigate the relationship of applying High- Level Concepts (HLC) on a complete image and applying it along with its different parts. The implementation of technique includes the images that are divided into subparts followed by focusing on each part individually. To conclude our results, we combined the outcome of our mechanism and compared the results with the previous work. We have applied the object detection HLC on parts of an Image along with entire image. We also compared our results with previous findings and come up with the discovery of our results that have performed better than previously known work. Description: This paper is the outcome of the research that has been conducted to investigate the relationship of applying High- Level Concepts (HLC) on a complete image and applying it along with its different parts. The implementation of technique includes the images that are divided into subparts followed by focusing on each part individually. To conclude our results, we combined the outcome of our mechanism and compared the results with the previous work. We have applied the object detection HLC on parts of an Image along with entire image. We also compared our results with previous findings and come up with the discovery of our results that have performed better than previously known work.

2020-11-01T00:00:00Z Nasim, Sharoon Minhas, Sidra Sabahat, Nosheen http://digitalrepository.fccollege.edu.pk/handle/123456789/2638 2024-12-18T09:26:28Z 2024-05-01T00:00:00Z

Title: AN AUTOMATED APPROACH FOR TRANSLATING ENGLISH TEXT TO PAKISTAN SIGN LANGUAGE Authors: Nasim, Sharoon; Minhas, Sidra; Sabahat, Nosheen Abstract: In Pakistan, the population of hearing-disabled children is on the rise. Unfortunately, the literacy rate of this population is far less than their counterpart peers due to a lack of knowledge and scarcity of resources for Pakistan Sign Language (PSL). However, the availability of an electronic repository of PSL (www.psl.org.pk) has opened new horizons for the well-being of the hearing-impaired population of Pakistan. In this work, we aim to propose a standardized system that focuses on converting written English sentences into PSL to enhance the readability and understanding of an international language. Currently, the system is focused on providing an interface for preschool children to enhance their confidence in understanding the English language. Our system has two input options: typed English text or images of English text. The English Input Text is Translated into PSL lexical after performing NLP and machine translation techniques such as tokenization, lemmatization, etc., this process also deals with out of vocabulary words, and the resulting system is developed in three phases that are provided in the methodology section. For translating alphabets and words, our system achieved an accuracy of 89.58% and 100% respectively in a 10-fold cross-validation setup. For the evaluation of English sentence translation, we selected 5 storybooks with 104 sentences from the Oxford Reading Tree for ages 3-4 years and converted them to PSL. Later, with the help of a domain expert, we obtained an accuracy of 81.25% and a Level of Understanding of 75.96% which was recognized as comparable and rated as user-friendly by the domain experts. The availability of an automated application to convert the international English language to PSL will eradicate the need for a third person for translation while enhancing the social inclusion of deprived children. Description: In Pakistan, the population of hearing-disabled children is on the rise. Unfortunately, the literacy rate of this population is far less than their counterpart peers due to a lack of knowledge and scarcity of resources for Pakistan Sign Language (PSL). However, the availability of an electronic repository of PSL (www.psl.org.pk) has opened new horizons for the well-being of the hearing-impaired population of Pakistan. In this work, we aim to propose a standardized system that focuses on converting written English sentences into PSL to enhance the readability and understanding of an international language. Currently, the system is focused on providing an interface for preschool children to enhance their confidence in understanding the English language. Our system has two input options: typed English text or images of English text. The English Input Text is Translated into PSL lexical after performing NLP and machine translation techniques such as tokenization, lemmatization, etc., this process also deals with out of vocabulary words, and the resulting system is developed in three phases that are provided in the methodology section. For translating alphabets and words, our system achieved an accuracy of 89.58% and 100% respectively in a 10-fold cross-validation setup. For the evaluation of English sentence translation, we selected 5 storybooks with 104 sentences from the Oxford Reading Tree for ages 3-4 years and converted them to PSL. Later, with the help of a domain expert, we obtained an accuracy of 81.25% and a Level of Understanding of 75.96% which was recognized as comparable and rated as user-friendly by the domain experts. The availability of an automated application to convert the international English language to PSL will eradicate the need for a third person for translation while enhancing the social inclusion of deprived children.

2024-05-01T00:00:00Z Nasim, Sharoon Zahid, Zainab Sabahat, Nosheen http://digitalrepository.fccollege.edu.pk/handle/123456789/2637 2024-12-18T09:18:55Z 2023-01-01T00:00:00Z

Title: Requirement Elicitation using Natural Language Processing Authors: Nasim, Sharoon; Zahid, Zainab; Sabahat, Nosheen Abstract: This paper is the outcome of the research conducted to investigate the affective requirement engineering techniques proposed and used for developing software projects. We have assessed traditional methods and proposed an approach that covers various aspects for generating a successful project. An NLP-based model is designed that takes input from the user and gives the output in the form of a text document after processing it. We have set a 62% similarity index to achieve the maximum requirements of the required system. These requirements, in return, help the developers to develop the product with more functionality and productivity. Description: This paper is the outcome of the research conducted to investigate the affective requirement engineering techniques proposed and used for developing software projects. We have assessed traditional methods and proposed an approach that covers various aspects for generating a successful project. An NLP-based model is designed that takes input from the user and gives the output in the form of a text document after processing it. We have set a 62% similarity index to achieve the maximum requirements of the required system. These requirements, in return, help the developers to develop the product with more functionality and productivity.

2023-01-01T00:00:00Z http://digitalrepository.fccollege.edu.pk/handle/123456789/1995 2024-04-25T11:55:34Z 2006-01-01T00:00:00Z

Title: Logical Projection Vectors Method To Label Connected Components In Binary Images For Simple Real-Time Applications Abstract: This paper proposes a new method to efficiently label connected components in binary images. There exist many methods for this but they all are complex enough to prohibit implementation for simple real time applications such as robotics. The proposed method is very simple in terms of implementation complexity and extremely fast, at the cost of a small fraction of accuracy. This approach is best suited for simple real-time robotic applications.

2006-01-01T00:00:00Z