http://dspace.uiu.ac.bd/handle/52243/3 Mon, 18 May 2026 03:02:42 GMT 2026-05-18T03:02:42Z http://dspace.uiu.ac.bd/handle/52243/3470 Towards aligning Motion, IMU, EMG and Text Aadeeb, Md Shadman Multimodal alignment and multimodal generation are two important technologies that are widely used in the field of Artificial Intelligence (AI). Multimodal alignment allows AI models to identify similarities between two different modalities of data by transforming them into a shared representation with the same dimensional structure. Multimodal generation, on the other hand, enables an AI model to generate one type of data from another using this common representation. Together, these technologies provide a useful way to compare information from different modalities and to transfer or generate data from one modality to another. In this research, multimodal alignment and multimodal generation were performed across four different modalities: three-dimensional keypoint sequences, inertial measurement unit signals, electromyography signals, and textual data. For this purpose, four encoders and four decoders were developed so that each modality could be mapped into a shared embedding space and then reconstructed or generated across modalities. To overcome the lack of fully paired datasets, an unpaired cross-modal training method was used. This approach led to the development of an Explainable AI-based system that can provide meaningful insights into a person’s movement and motion by connecting information from multiple sources. The results showed that the proposed models performed well, especially in preserving motion-related information across the different modalities. With the help of the developed encoders and decoders, the models were able to match or surpass several previous benchmarks. The text generation model achieved a BERTScore of 40.57, which was higher than previous models. For EMG-to-pose generation, the 3D keypoint position RMSE was 0.0873, which is very close to the performance reported by the authors of the dataset paper. Similarly, for IMU-to-pose generation, the average rotation error was approximately 17.6589◦, also close to the dataset authors’ result. Further analysis also revealed interesting patterns in how movement-related information is carried across different modalities. In addition, embedding arithmetic showed that two embeddings could be combined to produce mixed results, suggesting that the shared embedding space learned meaningful relationships between modalities. Overall, these findings show that the proposed multimodal framework can effectively capture, Mon, 11 May 2026 00:00:00 GMT http://dspace.uiu.ac.bd/handle/52243/3470 2026-05-11T00:00:00Z http://dspace.uiu.ac.bd/handle/52243/3469 Securing E-Voting in Bangladesh: A Blockchain Based System Jahan, Nusrat The electronic voting process brings a technological advancement to ballot casting. It blends tradition with technology. The system presents digital capabilities which guarantee both improved security and efficiency in operations. Previous e-voting implementations frequently experience problems at present. Democratic systems receive criticism because of their virtual weaknesses. The system permits security breaches while displaying minimal transparency while weakening vote privacy. This research investigates the development of blockchain-enabled e-voting (BEV) as a solution for resolving the existing problems within voting systems. The project development targets improvements in election security together with privacy systems and enhanced reliability features. Our system deploys blockchain essential attributes which include decentralization, transparency and immutability. Research determines how BEV functions as an election technology in Bangladesh. The report takes a confident stance to compare Bangladesh’s digital voting system with the digital voting pioneers of Estonia and Switzerland. The research proves blockchain uses security protocols to preventVote alteration and duplication events. Blockchain operates as an effective system to prevent accidental modifications in addition to unauthorized alterations. The system helps authorize voter identification. At the same time we fully recognize the critical need for actual field tests regarding this matter. Bangladesh needs to address its infrastructure challenges along with raising standards of voter privacy in its one-of-a-kind geographic setting. The research establishes that blockchain technology establishes active and transparent digital election procedures which provide security. The importance of future examination becomes crucial to solve both technical problems and regulatory requirements with blockchain technology. These findings are meant to serve as practical guidance for Bangladeshi policy makers together with other stakeholders. The researchers strive to enhance blockchain election functions and develop secure trusted electronic voting infrastructure. Sat, 24 Jan 2026 00:00:00 GMT http://dspace.uiu.ac.bd/handle/52243/3469 2026-01-24T00:00:00Z http://dspace.uiu.ac.bd/handle/52243/3468 Securing E-Voting in Bangladesh: A Blockchain Based System Jahan, Nusrat The electronic voting process brings a technological advancement to ballot casting. It blends tradition with technology. The system presents digital capabilities which guarantee both improved security and efficiency in operations. Previous e-voting implementations frequently experience problems at present. Democratic systems receive criticism because of their virtual weaknesses. The system permits security breaches while displaying minimal transparency while weakening vote privacy. This research investigates the development of blockchain-enabled e-voting (BEV) as a solution for resolving the existing problems within voting systems. The project development targets improvements in election security together with privacy systems and enhanced reliability features. Our system deploys blockchain essential attributes which include decentralization, transparency and immutability. Research determines how BEV functions as an election technology in Bangladesh. The report takes a confident stance to compare Bangladesh’s digital voting system with the digital voting pioneers of Estonia and Switzerland. The research proves blockchain uses security protocols to preventVote alteration and duplication events. Blockchain operates as an effective system to prevent accidental modifications in addition to unauthorized alterations. The system helps authorize voter identification. At the same time we fully recognize the critical need for actual field tests regarding this matter. Bangladesh needs to address its infrastructure challenges along with raising standards of voter privacy in its one-of-a-kind geographic setting. The research establishes that blockchain technology establishes active and transparent digital election procedures which provide security. The importance of future examination becomes crucial to solve both technical problems and regulatory requirements with blockchain technology. These findings are meant to serve as practical guidance for Bangladeshi policy makers together with other stakeholders. The researchers strive to enhance blockchain election functions and develop secure trusted electronic voting infrastructure. Sat, 24 Jan 2026 00:00:00 GMT http://dspace.uiu.ac.bd/handle/52243/3468 2026-01-24T00:00:00Z http://dspace.uiu.ac.bd/handle/52243/3408 A Secure Spectrum Aware MAC layer protocol for Cognitive Radio Wireless Sensor Network. Hossain, Md Shamiun Persistent Secure Spectrum Aware MAC layer, scalability and load balancing are important requirements for numerous ad-hoc sensor network. Secure Clustering sensor nodes is an effective technique for achieving these goals. In this work, we present a secure, spectrum-aware cross-layer MAC protocol designed for Cognitive Radio Ad Hoc Networks (CRAHN), where cluster formation is defined maximum edge biclique problem, enhance the security of the cluster formation process and ensure both a stable number of common channels and robustness to varying spectrum availability. The clustering process concludes in O(1) of iterations, independent of the network’s structure or scale. By carefully choosing the secondary clustering parameter, the process can significantly reduce the hassle of re-clustering. This thoughtful selection ensures that the workload is evenly spread across the cluster heads, preventing any one cluster from becoming overloaded, and keeping the network running smoothly and efficiently. Dynamic approach maintains a stable network structure despite node mobility. These protocols focus on secure and efficient spectrum sharing among nodes to enhance network performance. It also achieves fairly uniform cluster head distribution across the network. The cluster-based architecture is designed to be highly flexible, allowing it to build and adjust itself as needed. This dynamic nature is supported by two key operations: Node-Move-In and Node-Move-Out. These operations enable the network to easily integrate new nodes and remove existing ones, ensuring that the system can adapt to changes and maintain optimal performance without manual intervention. A pseudocode analysis focused on enhancing the security of the cluster formation process is also applied in two topology management operations. Overall, the time complexity for the Node-Move-In and Node-Move-Out algorithms is O(n), where n represents the number of members in the cluster. This means that the algorithms handle a number of operations proportional to the number of nodes involved, making them efficient and scalable as the network grows. Tue, 31 Mar 2026 00:00:00 GMT http://dspace.uiu.ac.bd/handle/52243/3408 2026-03-31T00:00:00Z