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Abstract

Details

Redefining Educational Leadership in Central Asia
Type: Book
ISBN: 978-1-83797-391-0

Abstract

Details

Redefining Educational Leadership in Central Asia
Type: Book
ISBN: 978-1-83797-391-0

Article
Publication date: 21 March 2024

Milind Tiwari, Cayle Lupton, Ausma Bernot and Khaled Halteh

This paper aims to investigate technological innovations within the crypto space that have engendered novel financial crime risks and their potential utilization amidst…

Abstract

Purpose

This paper aims to investigate technological innovations within the crypto space that have engendered novel financial crime risks and their potential utilization amidst geopolitical conflicts.

Design/methodology/approach

The theoretical paper uses an analysis of recent geopolitical events, with a key focus on using cryptocurrencies to undertake illicit activities.

Findings

The study found that cryptocurrencies and the innovations made within the crypto domain are used for both legitimate and illicit purposes, including money laundering, terrorism financing and sanction evasion.

Originality/value

This research contributes to understanding the critical role cryptocurrencies play amidst geopolitical conflicts and emphasizes the need for regulatory considerations to prevent their misuse. To the best of the authors’ knowledge, this paper is the first scholarly contribution that considers the evolving mechanisms afforded by cryptocurrencies amidst geopolitical conflicts in undertaking illicit activities.

Details

Journal of Financial Crime, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1359-0790

Keywords

Article
Publication date: 2 January 2024

Xiangdi Yue, Yihuan Zhang, Jiawei Chen, Junxin Chen, Xuanyi Zhou and Miaolei He

In recent decades, the field of robotic mapping has witnessed widespread research and development in light detection and ranging (LiDAR)-based simultaneous localization and…

Abstract

Purpose

In recent decades, the field of robotic mapping has witnessed widespread research and development in light detection and ranging (LiDAR)-based simultaneous localization and mapping (SLAM) techniques. This paper aims to provide a significant reference for researchers and engineers in robotic mapping.

Design/methodology/approach

This paper focused on the research state of LiDAR-based SLAM for robotic mapping as well as a literature survey from the perspective of various LiDAR types and configurations.

Findings

This paper conducted a comprehensive literature review of the LiDAR-based SLAM system based on three distinct LiDAR forms and configurations. The authors concluded that multi-robot collaborative mapping and multi-source fusion SLAM systems based on 3D LiDAR with deep learning will be new trends in the future.

Originality/value

To the best of the authors’ knowledge, this is the first thorough survey of robotic mapping from the perspective of various LiDAR types and configurations. It can serve as a theoretical and practical guide for the advancement of academic and industrial robot mapping.

Details

Industrial Robot: the international journal of robotics research and application, vol. 51 no. 2
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 8 December 2023

Han Sun, Song Tang, Xiaozhi Qi, Zhiyuan Ma and Jianxin Gao

This study aims to introduce a novel noise filter module designed for LiDAR simultaneous localization and mapping (SLAM) systems. The primary objective is to enhance pose…

Abstract

Purpose

This study aims to introduce a novel noise filter module designed for LiDAR simultaneous localization and mapping (SLAM) systems. The primary objective is to enhance pose estimation accuracy and improve the overall system performance in outdoor environments.

Design/methodology/approach

Distinct from traditional approaches, MCFilter emphasizes enhancing point cloud data quality at the pixel level. This framework hinges on two primary elements. First, the D-Tracker, a tracking algorithm, is grounded on multiresolution three-dimensional (3D) descriptors and adeptly maintains a balance between precision and efficiency. Second, the R-Filter introduces a pixel-level attribute named motion-correlation, which effectively identifies and removes dynamic points. Furthermore, designed as a modular component, MCFilter ensures seamless integration into existing LiDAR SLAM systems.

Findings

Based on rigorous testing with public data sets and real-world conditions, the MCFilter reported an increase in average accuracy of 12.39% and reduced processing time by 24.18%. These outcomes emphasize the method’s effectiveness in refining the performance of current LiDAR SLAM systems.

Originality/value

In this study, the authors present a novel 3D descriptor tracker designed for consistent feature point matching across successive frames. The authors also propose an innovative attribute to detect and eliminate noise points. Experimental results demonstrate that integrating this method into existing LiDAR SLAM systems yields state-of-the-art performance.

Details

Robotic Intelligence and Automation, vol. 44 no. 1
Type: Research Article
ISSN: 2754-6969

Keywords

Article
Publication date: 16 June 2023

Marcus Smith and Milind Tiwari

This paper aims to explain the implications of the impending establishment of national blockchain infrastructure by governments around the world, and how these structures can be…

Abstract

Purpose

This paper aims to explain the implications of the impending establishment of national blockchain infrastructure by governments around the world, and how these structures can be integrated with existing legislation and assist in the prevention of financial crime.

Design/methodology/approach

The methodology used is a literature review and analysis of progress being made to establish national blockchain infrastructure. It provides a discussion of the connection between blockchain and financial crime, and how this infrastructure will interact with existing regulatory frameworks, and particularly, financial crime legislation.

Findings

This paper documents financial crime risks posed by digital currencies and smart contracts and the role that national blockchain infrastructure can potentially play in mitigating these risks. It highlights the need for governments to devote resources to developing this infrastructure and associated regulatory frameworks.

Originality/value

There are few, if any, academic papers in the financial crime, or wider literature, that have examined the potential for national blockchain infrastructures prevent financial crime, including the implications for existing regulation in the field.

Details

Journal of Financial Crime, vol. 31 no. 2
Type: Research Article
ISSN: 1359-0790

Keywords

Article
Publication date: 24 July 2023

Muhammad Younus, Achmad Nurmandi, Suswanta Suswanta and Wahdania Suardi

The purpose of this paper is to focus on explaining the concept of a smart citizen and in what way it is related to and dependent on smart government.

Abstract

Purpose

The purpose of this paper is to focus on explaining the concept of a smart citizen and in what way it is related to and dependent on smart government.

Design/methodology/approach

To study this specific use case, researchers use “Qualitative Research.” For the review of the literature, the authors used an indirect citation. Additionally, VOSviewer software was used to evaluate the research data for this paper.

Findings

As researchers, the authors will explain how smart governments lay the foundation for transforming an ordinary citizen into a smart citizen. Also, they will be highlighting the significance and importance of citizens becoming smart in the future and how it will give an edge to any country over others in terms of development and growth.

Originality/value

After it, the authors will be sharing the essential qualities that are joined together to make a smart citizen and able to distinguish between a common citizen and smart citizen. Finally, creating an understanding of it, the emphasis will be on the facilities and services smart citizens will get under a smart government, which will eventually increase the smartness of the citizens.

Details

Transforming Government: People, Process and Policy, vol. 18 no. 1
Type: Research Article
ISSN: 1750-6166

Keywords

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