Smart pilgrim: A mobile-sensor-cloud based system to safeguard pilgrims through smart environment

Niyogi, Rajdeep; Misra, Manoj; Kulshrestha, Tarun; Patel, Dhaval

doi:10.1109/ic3.2017.8284304

Cited by 4 publications

(6 citation statements)

References 3 publications

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“…This parameter is represented by keywords including Religious, Pilgrimage, Spiritual, Pilgrim, Site, Religion, Sacred, Temple, Experience, Visitor, Heritage, Place, Motivation, Cultural, Muslim, Islamic, Tourism, Destination, and Satisfaction. Looking at the documents related to this parameter, we could find different dimensions of this parameter, including religious tourist motivations [138] [139], religious tourist experiences [140], exploring sacred sites [141], technological developments in religious heritage sites [142], [143], and the role of Religious Tourism for enhancing social and economic growth within local communities [144].…”

Section: Religious Tourismmentioning

confidence: 99%

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Alsahafi¹,

Alzahrani²,

Mehmood³

2023

Preprint

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The Global natural and manmade events are exposing the fragility of the tourism industry and its impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3% to the global GDP and employed 333 million people but saw a significant decline due to the pandemic. Sustainable and smart tourism requires collaboration from all stakeholders and a comprehensive understanding of global and local issues to drive responsible and innovative growth in the sector. This paper presents an approach for leveraging big data and deep learning to dis-cover holistic, multi-perspective (e.g., local, cultural, national, and international) and objective information on a subject. Specifically, we develop a machine learning pipeline to extract parameters from academic literature and public opinions on Twitter, providing a unique and comprehensive view of the industry from both academic and public perspectives. The academic-view dataset was created from the Scopus database and contains 156,759 research articles from 2000 to 2022, which were modelled to identify 33 distinct parameters in 4 categories: Tourism Types, Planning, Challenges, and Media &amp; Technologies. A Twitter dataset of 485,813 tweets was collected over 18 months starting March 2021 to August 2022 to showcase public perception of tourism in Saudi Arabia, which was modelled to reveal 13 parameters categorized into two broader sets: Tourist Attractions and Tourism Services. Discovering system parameters are re-quired to embed autonomous capabilities in systems and for decision-making and problem-solving during system design and operations. The proposed approach improves AI-based information discovery by extending the use of scientific literature, Twitter, and other sources for autonomous, dynamic optimizations of systems, promoting novel research in the tourism sector and contributing to the development of smart and sustainable societies. The paper also presents a comprehensive knowledge structure and literature review of the tourism sector based on over 250 research articles.

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Section: Religious Tourismmentioning

confidence: 99%

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Alsahafi¹,

Alzahrani²,

Mehmood³

2023

Preprint

View full text Add to dashboard Cite

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“…His model included an emergency and rescue component. Lastly, Smart Pilgrim is another effort to assist pilgrims and authorities in case of emergency [115]. Smart Pilgrim is a contactless, and paper-less application that leverages multiple technologies available in today's smartphone, such as Wi-Fi, Bluetooth, and GPS.…”

Section: Disasters and Emergenciesmentioning

confidence: 99%

“…ICT was used in planning various aspects of Hajj and Umrah as well. For instance, Deep Learning (DL) was used to estimate the number of pilgrims visiting the holy sites in Technology References Ad-Hoc Networks [80], [112] Adrouino Microcontroller [70], [190], [287] Augmented Reality (AR)-Virtual Reality (VR)-Mixed Reality (MR) [93], [133]- [138], [140], [144], [146], [207], [211] Business Intelligence (BI) [42], [183] Big Data Analytics [50], [169] Bluetooth Low Energy (BLE) [68], [115], [191], [238]- [241], [288] Blockchain [154], [155], [162], [289]-[291] Closed-Circuit TeleVision (CCTV) [248], [292] Cellular Networks [70], [71], [81], [107], [115], [187], [189], [191], [196] Cloud Computing [75], [220], [229], [267], [293], [294] Cryptography…”

Section: Infrastructure and Planningmentioning

confidence: 99%

“…[296] Fog Computing [208], [293], [297] Game Theory [203] Global Positioning System (GPS) /Geographic Information System (GIS) [63]- [65], [71], [74], [75], [81], [85], [87], [88], [90], [91], [98], [101], [105], [115], [125], [143], [182], [189], [191], [196], [205], [239], [262], [273], [274], [282], [284], [292] Graphics Processing Units (GPU) [257], [258] Image Processing and Computer Vision [83], [84], [147], [226], [227], [242], [250], [252], [286] Internet of Things (IoT) [68], [69], [113], [195], [22...…”

Section: Infrastructure and Planningmentioning

confidence: 99%

“…[93]- [95], [97], [99], [109], [115], [119], [123], [125], [128], [141], [159], [171], [172], [191], [192], [198], [206], [226], [239], [240], [317]-[319] Steganography [295] Text Segmentation [28], [29], [315] Unmanned Aerial Vehicle (UAV) [112], [248], [249], [312], [319] Wearable Technology [95], [96], [113], [193] Web [54], [55], [126], [127], [145], [160], [320], [321] Wireless LAN (WiFi) [115], [191] Wireless Sensor Network (WSN) [72], [90], [181], [201], [202],…”

Section: Infrastructure and Planningmentioning

confidence: 99%

See 2 more Smart Citations

Solving Hajj and Umrah Challenges Using Information and Communication Technology: A Survey

Showail

2022

IEEE Access

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Hajj and Umrah are Muslims' religious pilgrimages to Makkah, Saudi Arabia. Hajj is considered the largest annual gathering in the world. In Islam, each and every able-bodied adult is obligated to go for Hajj at least once in his/her lifetime. Hajj takes place between the 8 th and the 13 th day of Dhul Hijjah, which is the last month of the Islamic year while Umrah, the minor pilgrimage, could be done any time of the year. In Hajj, pilgrims, also known as Hajjis, travel around 15 km and pilgrims have the choice to do it by foot, bus or by train. The Hajj journey starts from Mina, which is considered the largest tent city in the world because it hosts more than 10,000 fire resistant tents, and includes various religious rituals. Around 3 million Muslims from more than 183 countries make Hajj every year and the Kingdom of Saudi Arabia is working on increasing this number. Since 1989, researchers in various ICT domains have tried leveraging their expertise in solving challenges and issues related to Hajj and Umrah. Although several papers have surveyed efforts using technology in Hajj and Umrah research, none of them was comprehensive. In this paper, I classified research efforts that used information and communication technologies for solving Hajj and Umrah challenges over the past 33 years based on their applications in 10 categories. I also identified more than 30 technologies used by researchers all over the world to address Hajj and Umrah issues and group research efforts based on these technologies for ease of access. Furthermore, open challenges were discussed and new technologies that could be used to address these challenges were proposed.

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Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

2023

View full text Add to dashboard Cite

Global natural and manmade events are exposing the fragility of the tourism industry and its impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3% to the global GDP and employed 333 million people but saw a significant decline due to the pandemic. Sustainable and smart tourism requires collaboration from all stakeholders and a comprehensive understanding of global and local issues to drive responsible and innovative growth in the sector. This paper presents an approach for leveraging big data and deep learning to discover holistic, multi-perspective (e.g., local, cultural, national, and international), and objective information on a subject. Specifically, we develop a machine learning pipeline to extract parameters from the academic literature and public opinions on Twitter, providing a unique and comprehensive view of the industry from both academic and public perspectives. The academic-view dataset was created from the Scopus database and contains 156,759 research articles from 2000 to 2022, which were modelled to identify 33 distinct parameters in 4 categories: Tourism Types, Planning, Challenges, and Media and Technologies. A Twitter dataset of 485,813 tweets was collected over 18 months from March 2021 to August 2022 to showcase the public perception of tourism in Saudi Arabia, which was modelled to reveal 13 parameters categorized into two broader sets: Tourist Attractions and Tourism Services. The paper also presents a comprehensive knowledge structure and literature review of the tourism sector based on over 250 research articles. Discovering system parameters are required to embed autonomous capabilities in systems and for decision-making and problem-solving during system design and operations. The work presented in this paper has significant theoretical and practical implications in that it improves AI-based information discovery by extending the use of scientific literature, Twitter, and other sources for autonomous, holistic, dynamic optimizations of systems, promoting novel research in the tourism sector and contributing to the development of smart and sustainable societies.

show abstract

Smart pilgrim: A mobile-sensor-cloud based system to safeguard pilgrims through smart environment

Cited by 4 publications

References 3 publications

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Solving Hajj and Umrah Challenges Using Information and Communication Technology: A Survey

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

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