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Applied System Innovation, Volume 7, Issue 4

2024 August - 18 articles

Cover Story: Noncommunicable diseases remain the leading global cause of death, and such diseases are largely driven by preventable factors such as sedentary lifestyles and poor diets in developed nations. While efforts to promote healthier behaviors persist, achieving sustained lifestyle changes remains a significant challenge. Research suggests that gamification within health applications can effectively encourage behavioral modifications. By leveraging blockchain technology, we aim to enhance gamification’s impact through secure data management, verifiable incentives, and transparent reward systems. Smart contracts will automate processes and create reliable, decentralized platforms. This research will develop and evaluate a blockchain-based gamification platform designed to foster healthy habits. View this paper
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Articles (18)

  • Article
  • Open Access
3 Citations
2,784 Views
18 Pages

Switched Observer Design for a Class of Non-Linear Systems

  • Ivan Francisco Yupanqui Tello,
  • Daniel Coutinho and
  • Renzo Martín Mendoza Rabanal

This paper is concerned with the switched observer design for a class of systems subject to locally Lipschitz non-linearities. By performing a suitable description of the estimation error dynamics into a linear parameter varying (LPV) system represen...

(This article belongs to the Section Control and Systems Engineering)
  • Article
  • Open Access
2 Citations
3,420 Views
18 Pages

The construction industry plays a crucial role in the global economy but faces persistent challenges such as inefficiency, high costs, and significant environmental impact. Building Information Modelling (BIM) has been proposed as a solution to enhan...

(This article belongs to the Special Issue New Challenges of Innovation, Sustainability, Resilience in X.0 Era)
  • Article
  • Open Access
3 Citations
4,514 Views
12 Pages

Status and Challenges of Medical History Taking in Bangladesh and an Affordable Digital Solution to Tackle Them

  • Forhad Hossain,
  • Mohamed Mehfoud Bouh,
  • Md Moshiur Rahman,
  • Faiz Shah,
  • Tsunenori Mine,
  • Rafiqul Islam,
  • Naoki Nakashima and
  • Ashir Ahmed

Capturing patients’ medical histories significantly influences clinical decisions. Errors in this process lead to clinical errors, which increase costs and dissatisfaction among physicians and patients. Physicians in developing countries are ov...

(This article belongs to the Special Issue Advancing Healthcare Through Intelligent Clinical Decision Support Systems: Techniques, Applications, and Future Directions)
  • Article
  • Open Access
13 Citations
8,659 Views
37 Pages

Dependability Assessment of a Dual-Axis Solar Tracking Prototype Using a Maintenance-Oriented Metric System

  • Raul Rotar,
  • Flavius Maxim Petcuț,
  • Robert Susany,
  • Flavius Oprițoiu and
  • Mircea Vlăduțiu

This study presents a numerical method for evaluating the maintainability of a dual-axis solar tracking system that can be deployed in residential areas for improved energy production. The purpose of this research manuscript is threefold. It targets...

(This article belongs to the Section Control and Systems Engineering)
  • Article
  • Open Access
3 Citations
4,698 Views
11 Pages

Utilizing Dry Electrode Electroencephalography and AI Robotics for Cognitive Stress Monitoring in Video Gaming

  • Aseel A. Alrasheedi,
  • Alyah Z. Alrabeah,
  • Fatemah J. Almuhareb,
  • Noureyah M. Y. Alras,
  • Shaymaa N. Alduaij,
  • Abdullah S. Karar,
  • Sherif Said,
  • Karim Youssef and
  • Samer Al Kork

This research explores the integration of the Dry Sensor Interface-24 (DSI-24) EEG headset with a ChatGPT-enabled Furhat robot to monitor cognitive stress in video gaming environments. The DSI-24, a cutting-edge, wireless EEG device, is adept at rapi...

  • Article
  • Open Access
49 Citations
19,489 Views
26 Pages

Use of Digital Technology in Integrated Mathematics Education

  • Andrada-Livia Cirneanu and
  • Cristian-Emil Moldoveanu

Digital learning environments create a dynamic and engaging learning and teaching context that promotes a deeper understanding of complex concepts, eases the teaching process and fosters a passion for learning. Moreover, integrating interactive mater...

  • Systematic Review
  • Open Access
17 Citations
10,336 Views
18 Pages

This paper conducts a systematic literature review to explore the dynamic interplay among ergonomics, design thinking, and artificial intelligence (AI) or machine learning (ML). In a rapidly evolving world, the convergence of ergonomics and design In...

(This article belongs to the Section Artificial Intelligence)
  • Article
  • Open Access
2 Citations
4,243 Views
17 Pages

Artificial intelligence (AI) models have already achieved great success in fields such as computer vision and natural language processing. However, deploying AI models based on heterogeneous hardware is difficult to ensure accuracy consistency, espec...

(This article belongs to the Special Issue Advancements in Deep Learning and Its Applications)
  • Article
  • Open Access
17 Citations
3,975 Views
16 Pages

To comprehend the thermal regulation within the conical gap between a disk and a cone (TRHNF-DC) for hybrid nanofluid flow, this research introduces a novel application of computationally intelligent heuristics utilizing backpropagated Levenberg&ndas...

(This article belongs to the Section Artificial Intelligence)
  • Review
  • Open Access
8 Citations
6,941 Views
28 Pages

Buzzing through Data: Advancing Bee Species Identification with Machine Learning

  • Ashan Milinda Bandara Ratnayake,
  • Hartini Mohd Yasin,
  • Abdul Ghani Naim and
  • Pg Emeroylariffion Abas

Given the vast diversity of bee species and the limited availability of taxonomy experts, bee species identification has become increasingly important, especially with the rise of apiculture practice. This review systematically explores the applicati...

(This article belongs to the Special Issue Advancements in Deep Learning and Its Applications)
  • Article
  • Open Access
4 Citations
3,516 Views
16 Pages

A Novel Intelligent Condition Monitoring Framework of Essential Service Water Pumps

  • Yingqian Liu,
  • Qian Huang,
  • Huairui Li,
  • Yunpeng Li,
  • Sihan Li,
  • Rongsheng Zhu and
  • Qiang Fu

Essential service water pumps are necessary safety devices responsible for discharging waste heat from containments through seawater; their condition monitoring is critical for the safe and stable operation of seaside nuclear power plants. However, i...

(This article belongs to the Section Industrial and Manufacturing Engineering)
  • Article
  • Open Access
6 Citations
3,812 Views
16 Pages

Towards a Blockchain Hybrid Platform for Gamification of Healthy Habits: Implementation and Usability Validation

  • Juan Lopez-Barreiro,
  • Luis Alvarez-Sabucedo,
  • Jose Luis Garcia-Soidan and
  • Juan M. Santos-Gago

(1) Background: In developed countries, public health faces a number of problems, including sedentary lifestyles and poor diets, which collectively contribute to the occurrence of preventable diseases. Noncommunicable diseases represent the leading c...

  • Article
  • Open Access
21 Citations
7,135 Views
23 Pages

The accurate and efficient recognition of gym workout activities using wearable sensors holds significant implications for assessing fitness levels, tailoring personalized training regimens, and overseeing rehabilitation progress. This study introduc...

(This article belongs to the Special Issue Advancements in Deep Learning and Its Applications)
  • Article
  • Open Access
10 Citations
7,056 Views
23 Pages

Based on the theory of user needs and the product development mode and framework of mobile Internet interactive innovation, a new “reality → virtual → reality” interactive innovation product development mode is constructed. It d...

  • Article
  • Open Access
2 Citations
3,836 Views
23 Pages

This paper proposes a new approach to enhance the realism and interactivity of shooting simulation systems by integrating a three-degree–of–freedom (3-DoF) platform with sensory and interactive elements, as well as digital content. The sy...

  • Article
  • Open Access
14 Citations
8,434 Views
18 Pages

In recent years, model compression techniques have gained significant attention as a means to reduce the computational and memory requirements of deep neural networks. Knowledge distillation and pruning are two prominent approaches in this domain, ea...

  • Article
  • Open Access
8 Citations
5,587 Views
20 Pages

The urgent need for research and study with nondestructive and noninvasive methods and the preservation of cultural heritage led to the development and application of methodologies for the multi-level digitization of cultural elements. Photogrammetry...

(This article belongs to the Special Issue Advanced Technologies and Methodologies in Education 4.0)
  • Technical Note
  • Open Access
10 Citations
7,370 Views
24 Pages

Data-centric artificial intelligence (DC-AI) is a modern paradigm that gives more priority to data quality enhancement, rather than only optimizing the complex codes of AI models. The DC-AI paradigm is expected to substantially advance the status of...

(This article belongs to the Section Artificial Intelligence)
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Appl. Syst. Innov. - ISSN 2571-5577