IoT and AI driven sustainable practices in airlines as enabler of passenger confidence, satisfaction and positive WOM : AI and IoT driven sustainable practice in airline

Chakraborty, Samyadip; Chakravorty, Tulika; Bhatt, Vaidik

doi:10.1109/icais50930.2021.9395850

Cited by 10 publications

(2 citation statements)

References 13 publications

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“…Numerous areas within the industry stand to benefit substantially from AI integration. Recent studies have explored how these technologies can revolutionize the sector, ranging from enhancing customer experiences to enabling more intelligent and cost-effective design and operational strategies [8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Computational Tool for Aircraft Fuel System Analysis

Di Marzo,

Calil,

Najafabadi

et al. 2024

Aerospace

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Fuel level gauging in aircraft presents a significant flight mechanics challenge due to the influence of aircraft movements on measurements. Moreover, it constitutes a multidimensional problem where various sensors distributed within the tank must converge to yield a precise and single measurement, independent of the aircraft’s attitude. Furthermore, fuel distribution across multiple tanks of irregular geometries complicates the readings even further. These issues critically impact safety and economy, as gauging errors may compromise flight security and lead to carrying excess weight. In response to these challenges, this research introduces a multi-stage project in aircraft fuel gauging systems, as a continuum of studies, where this first article presents a computational tool designed to simulate aircraft fuel sensor data readings as a function of fuel level, fuel tank geometry, sensor location, and aircraft attitude. Developed in an open-source environment, the tool aims to support the statistical inference required for accurate modeling in which synthetic data generation becomes a crucial component. A discretization procedure accurately maps fuel tank geometries and their mass properties. The tool, then, intersects these geometries with fuel-level planes and calculates each new volume. It integrates descriptive geometry to intersect these fuel planes with representative capacitive level-sensing probes and computes the sensor readings for the simulated flight conditions. The method is validated against geometries with analytical solutions. This process yields detailed fuel measurement responses for each sensor inside the tank, and for different analyzed fuel levels, providing insights into the sensors’ signals’ non-linear behavior at each analyzed aircraft attitude. The non-linear behavior is also influenced by the sensor saturation readings at 0 when above the fuel level and at 1 when submerged. The synthetic fuel sensor readings lay the baseline for a better understanding on how to compute the true fuel level from multiple sensor readings, and ultimately optimizing the amount of used sensors and their placement. The tool’s design offers significant improvements in aircraft fuel gauging accuracy, directly impacting aerostructures and instrumentation, and it is a key aspect of flight safety, fuel management, and navigation in aerospace technology.

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Section: Introductionmentioning

confidence: 99%

Computational Tool for Aircraft Fuel System Analysis

Di Marzo,

Calil,

Najafabadi

et al. 2024

Aerospace

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“…In order to function properly in IoT-based smart transportation systems, numerous mechanisms and algorithms are being used [4]. These systems play a crucial role in the operation of railway systems [5], roads [6], flights [7], and ships [8], significantly enhancing the overall customer experience by improving the efficiency, tracking, and forwarding of goods in transportation. The Internet of Things (IoT) is radically altering the transportation industry [9].…”

Section: Introductionmentioning

confidence: 99%

IoT-Enhanced Transport and Monitoring of Medicine Using Sensors, MQTT, and Secure Short Message Service

Bhatti,

Hussain,

Suh

et al. 2024

IEEE Access

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Since its inception more than a decade ago, Internet of Things (IoT) technology has been guiding people in the development of a world full of smart solutions in which all devices and physical objects, represented as "things," are interlinked with sensors using the Internet. In some areas, the delivery of medications to patients or receivers at their destinations remains highly informal and old. In smart medicine delivery, the medicine needs to maintain its original state while facing multiple environmental factors, like temperature fluctuations, humidity, etc. This paper presents an effective implementation of IoT (Internet of Things) for monitoring the transportation of medicines and vaccines, along with temperature control facilitated through mobile applications and sensor networks. The system employs mobile applications as the user interface, utilizes Arduino, MQTT (Message Queuing Telemetry Transport) for communication, incorporates a temperature sensor, and employs a mini portable cooling box. Designed for the generalized delivery of medicines/vaccines from sender to receiver, the system also suggests CRC-32 as an optimal algorithm for error detection instead of complex hash functions such as MD5 and SHA, ensuring better performance, smooth operation, and data integrity. In addition, elliptic curve based shared keys are used for protected data transmission. The accuracy of the proposed system is 89.88%, and the value of the F1-score is 0.686, which is greater than the threshold of 0.5, hence conclusively validating the authenticity and reliability of the proposed system.

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