Md. Rajibul Islam

Ayman Hasib, Saqib Sizan Khan, Jannatul Ferdous Eva et al.

Language is a method by which individuals express their thoughts. Each language has its own set of alphabetic and numeric characters. People can communicate with one another through either oral or written communication. However, each language has a sign language counterpart. Individuals who are deaf and/or mute communicate through sign language. The Bangla language also has a sign language, which is called BDSL. The dataset is about Bangla hand sign images. The collection contains 49 individual Bangla alphabet images in sign language. BDSL49 is a dataset that consists of 29,490 images with 49 labels. Images of 14 different adult individuals, each with a distinct background and appearance, have been recorded during data collection. Several strategies have been used to eliminate noise from datasets during preparation. This dataset is available to researchers for free. They can develop automated systems using machine learning, computer vision, and deep learning techniques. In addition, two models were used in this dataset. The first is for detection, while the second is for recognition.

Mahnaz Rafia Islam, Israt Jahan Jenny, Moniruzzaman Nayon et al.

Selecting an appropriate clustering method as well as an optimal number of clusters in road accident data is at times confusing and difficult. This paper analyzes shortcomings of different existing techniques applied to cluster accident-prone areas and recommends using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Ordering Points To Identify the Clustering Structure (OPTICS) to overcome them. Comparative performance analysis based on real-life data on the recorded cases of road accidents in North Carolina also show more effectiveness and efficiency achieved by these algorithms.

Asif Bhat, Rizal Mohd Nor, Md Amiruzzaman et al.

Blokchain is used in a variety of applications where trustworthy computing is re-quired. Trade finance is one of these areas that would benefit immensely from a decentralized way of doing transactions. This paper presents the preliminary as-sessment of Accepire-BT, a software platform developed for the practice of col-laborative Trade Finance. The proposed solution is enforced by smart contracts using Solidity, the underlying programming language for the Ethereum block-chain. We evaluated the performance in the Rinkeby test network by using Remix and MetaMask. The results of the preliminary trial show that smart contracts take less than one minute per cycle. Also, we present a discussion about costs for us-ing the public Ethereum Rinkeby network.

Md Mashfiq Rizvee, Md Amiruzzaman, Md Rajibul Islam

In this study, we present both data mining and information visualization techniques to identify accident-prone areas, most accident-prone time, day, and month. Also, we surveyed among volunteers to understand which visualization techniques help non-expert users to understand the findings better. Findings of this study suggest that most accidents occur in the dusk (i.e., between 6 to 7 pm), and on Fridays. Results also suggest that most accidents occurred in October, which is a popular month for tourism. These findings are consistent with social information and can help policymakers, residents, tourists, and other law enforcement agencies. This study can be extended to draw broader implications.