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Applied System Innovation, Volume 7, Issue 1

February 2024 - 17 articles

Cover Story: This article evaluates whether smart traffic lights can have a relevant role in reducing CO2 emissions in small cities, considering their specific traffic profiles. A novel microscopic traffic simulation framework is presented, designed to simulate realistic vehicle kinematics and driver behaviour, and accurately estimate CO2 emissions. The simulations reveal that deploying smart traffic lights at a single intersection can reduce CO2 emissions from 32% to 40% in the vicinity of the intersection, depending on the traffic density. The simulations show other advantages for drivers: an increase in average speed from 60% to 101% and a reduction in waiting time from 53% to 95%. View this paper
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Articles (17)

  • Article
  • Open Access
11 Citations
7,254 Views
27 Pages

Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model

  • Diana Bratić,
  • Marko Šapina,
  • Denis Jurečić and
  • Jana Žiljak Gršić

This paper addresses the challenges associated with the centralized storage of educational materials in the context of a fragmented and disparate database. In response to the increasing demands of modern education, efficient and accessible retrieval...

  • Article
  • Open Access
6 Citations
4,048 Views
19 Pages

Deep Learning Method to Detect Missing Welds for Joist Assembly Line

  • Hamed Raoofi,
  • Asa Sabahnia,
  • Daniel Barbeau and
  • Ali Motamedi

Traditional methods of supervision in the construction industry are time-consuming and costly, requiring significant investments in skilled labor. However, with advancements in artificial intelligence, computer vision, and deep learning, these method...

  • Article
  • Open Access
4 Citations
5,620 Views
11 Pages

The Enhanced Adaptive Grasping of a Soft Robotic Gripper Using Rigid Supports

  • Zhikang Peng,
  • Dongli Liu,
  • Xiaoyun Song,
  • Meihua Wang,
  • Yiwen Rao,
  • Yanjie Guo and
  • Jun Peng

Soft pneumatic grippers can grasp soft or irregularly shaped objects, indicating potential applications in industry, agriculture, and healthcare. However, soft grippers rarely carry heavy and dense objects due to the intrinsic low modulus of soft mat...

  • Article
  • Open Access
35 Citations
18,771 Views
31 Pages

In an era defined by technological disruption, the integration of artificial intelligence (AI) into business processes is both strategic and challenging. As AI continues to disrupt and reshape industries and revolutionize business processes, organiza...

  • Article
  • Open Access
2 Citations
4,839 Views
18 Pages

Artificial intelligence (AI) has become popular worldwide after technological breakthroughs in the early 2010s. Accordingly, many organizations and individuals have been using AI for various applications. Previous research has been dominated by case...

  • Article
  • Open Access
11 Citations
4,677 Views
12 Pages

Elevating Academic Advising: Natural Language Processing of Student Reviews

  • Omiros Iatrellis,
  • Nicholas Samaras,
  • Konstantinos Kokkinos and
  • Apostolis Xenakis

Academic advising is often pivotal in shaping students’ educational experiences and choices. This study leverages natural language processing to quantitatively evaluate reviews of academic advisors, aiming to provide actionable insights on key...

  • Review
  • Open Access
43 Citations
25,095 Views
38 Pages

Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers

  • Nils Hütten,
  • Miguel Alves Gomes,
  • Florian Hölken,
  • Karlo Andricevic,
  • Richard Meyes and
  • Tobias Meisen

Quality assessment in industrial applications is often carried out through visual inspection, usually performed or supported by human domain experts. However, the manual visual inspection of processes and products is error-prone and expensive. It is...

  • Article
  • Open Access
5 Citations
3,453 Views
15 Pages

In computer vision and image processing, the shift from traditional cameras to emerging sensing tools, such as gesture recognition and object detection, addresses privacy concerns. This study navigates the Integrated Sensing and Communication (ISAC)...

  • Article
  • Open Access
4 Citations
3,381 Views
10 Pages

A Tunable Self-Offloading Module for Plantar Pressure Regulation in Diabetic Patients

  • Bhawnath Tiwari,
  • Kenny Jeanmonod,
  • Paolo Germano,
  • Christian Koechli,
  • Sofia Lydia Ntella,
  • Zoltan Pataky,
  • Yoan Civet and
  • Yves Perriard

Plantar pressure plays a crucial role in the pathogenesis of foot ulcers among patients with diabetes and peripheral polyneuropathy. Pressure relief is a key requirement for both the prevention and treatment of plantar ulcers. Conventional medical pr...

  • Article
  • Open Access
2 Citations
4,255 Views
20 Pages

Research on Chinese Nested Entity Recognition Based on IDCNNLR and GlobalPointer

  • Weijun Li,
  • Jintong Liu,
  • Yuxiao Gao,
  • Xinyong Zhang and
  • Jianlai Gu

The task of named entity recognition (NER) is to identify entities in the text and predict their categories. In real-life scenarios, the context of the text is often complex, and there may exist nested entities within an entity. This kind of entity i...

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Appl. Syst. Innov. - ISSN 2571-5577