Relevant bibliographies by topics / Airport malls

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Airport malls'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Airport malls"

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Henderson, Isaac Levi, Mark Avis, Wai Hong Kan Tsui, Thanh Ngo, and Andrew Gilbey. "Compound Brands and the Multi-Creation of Brand Associations: Evidence from Airports and Shopping Malls." Sustainability 15, no. 2 (January 12, 2023): 1450. http://dx.doi.org/10.3390/su15021450.

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The authors identify a new type of brand concept, which they term as a compound brand. Compound brands have their brand associations multi-created such that the focal brand entity, their tenants, and ancillary entities all act as sources of primary brand associations. To test the possibility of compound brands, two potential compound brands are studied, airports and shopping malls. This was completed by undertaking 480 semi-structured interviews (240 for each entity) to identify the underlying brand association structure and which associations are important for consumer brand choice. Thematic analysis was used to analyse the qualitative data. Participant responses support that compound brand association structures are created by the focal branded entity (e.g., an airport), its tenants (e.g., shops and restaurants), as well as ancillary entities (e.g., location and customers). The contributions of tenants and ancillary entities towards the brand association structures of airports and shopping malls were also statistically significant with large effect sizes. A continuum exists as to how much of the compound brand’s association structure is created by its tenants, with statistically significant differences between airports and shopping malls in terms of how much tenants contribute to overall brand association structures for the compound brand.
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Ayub, Galih Abu. "Analisa Penggunaan Mesin X-Ray Sebagai Security System Di Bandara Internasional Husein Sastranegara." JE-Unisla 6, no. 2 (September 20, 2021): 1. http://dx.doi.org/10.30736/je-unisla.v6i2.687.

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Security system is a protection has a structured cycle, meaning that it has been systemized according to its application in the environment according to its field. Security system is formed is because of threats, crimes and others. A security system is needed at certain events and in special places such as malls and airports to maintain the continuity of the event and security can be well maintained. Everyone who comes to the location must have their luggage checked to minimize the presence of sharp objects that endanger or threaten security at the location. Inspection of passenger objects at the airport is one way to protect the safety and security of airplane passengers. The procedure for checking objects carried by passengers is still carried out manually by airport security officers. The goal is to check whether you find sharp objects or illegal drugs in the passenger's bag. The results of this study are the authors know the working principle and operation of x-ray machines, as well as the number and types of x-ray machines used by Husein Sastranegara International Airport. Security system is a protection has a structured cycle, meaning that it has been systemized according to its application in the environment according to its field.Security system is formed is because of threats, crimes and others. A security system is needed at certain events and in special places such as malls and airports to maintain the continuity of the event and security can be well maintained. Everyone who comes to the location must have their luggage checked to minimize the presence of sharp objects that endanger or threaten security at the location. Inspection of passenger objects at the airport is one way to protect the safety and security of airplane passengers. The procedure for checking objects carried by passengers is still carried out manually by airport security officers. The goal is to check whether you find sharp objects or illegal drugs in the passenger's bag. The results of this study are the authors know the working principle and operation of x-ray machines, as well as the number and types of x-ray machines used by Husein Sastranegara International Airport.
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Timbadia, Virag A., Rajendra S. Khavekar, and K. N. Vijayakumar. "Design and Development of a Multi-Purpose Trolley." Global Journal of Enterprise Information System 9, no. 1 (May 5, 2017): 90. http://dx.doi.org/10.18311/gjeis/2017/15871.

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Trolley is the device used for carrying load or to transport the material from one point to another. For different types of application various types of trollies are available in the market. Depending upon the specific use the one will select the trolley, but it is limited to do a specific work. To overcome this problem, a new trolley was designed which could be used for multi-purpose. There are many types of trolley available in the market for various fields like airport, shopping malls, industries, hospitals etc. to carry the heavy or light loads. This paper contains the development of trolley, which includes design on the basis of creativity skills and fabrication, which can be used for more than one type of task. The trolley designed is the integration of airport trolley and shopping mall trolley. One more advantageous feature added to the design was a motorized wheel which reduces the human effort for carrying of load and also it can be operated manually if required.
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Han, Heesup, and Sunghyup Sean Hyun. "Investigating customers’ shopping behaviors at airport duty-free shops: impact of shopping flow and alternative shopping malls’ attractiveness." Asia Pacific Journal of Tourism Research 23, no. 7 (June 12, 2018): 627–38. http://dx.doi.org/10.1080/10941665.2018.1485717.

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Rodger, Johnny. "Welcome back to Junkspace! Performing infinity while confined in lockdown." Architectural Research Quarterly 24, no. 4 (December 2020): 383–86. http://dx.doi.org/10.1017/s1359135520000408.

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For months we have been locked out of Junkspace. So, who’s complaining? Confined to domestic spaces, #stayhome has given many of us a forced opportunity to rethink the type of spaces that are not only functional and useful, but that make us feel comfortable. Our own residential arena may have felt restrictive and even – for some – oppressive at times, but who would say that they truly missed their daily passage through the endlessly stale air of check-in desks, departure gates, and duty frees at the airport; the epic journeys through low ceiling corridors and passageways of railway terminals and subway stations; and the blinding hallucinatory proliferation of brands and franchises in malls…?
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Hegde, Chitra, Shakti Singh Chundawat, and Divya S N. "Unusual Event Detection using Mean Feature Point Matching Algorithm." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 4 (August 1, 2016): 1595. http://dx.doi.org/10.11591/ijece.v6i4.10179.

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Analysis and detection of unusual events in public and private surveillance system is a complex task. Detecting unusual events in surveillance video requires the appropriate definition of similarity between events. The key goal of the proposed system is to detect behaviours or actions that can be considered as anomalies. Since suspicious events differ from domain to domain, it remains a challenge to detect those events in major domains such as airport, super malls, educational institutions etc. The proposed Mean Feature Point Matching (MFPM) algorithm is used for detecting unusual events. The Speeded-Up Robust Features (SURF) method is used for feature extraction. The MFPM algorithm compares the feature points of the input image with the mean feature points of trained dataset. The experimental result shows that the proposed system is efficient and accurate for wide variety of surveillance videos.
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Hegde, Chitra, Shakti Singh Chundawat, and Divya S N. "Unusual Event Detection using Mean Feature Point Matching Algorithm." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 4 (August 1, 2016): 1595. http://dx.doi.org/10.11591/ijece.v6i4.pp1595-1601.

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Analysis and detection of unusual events in public and private surveillance system is a complex task. Detecting unusual events in surveillance video requires the appropriate definition of similarity between events. The key goal of the proposed system is to detect behaviours or actions that can be considered as anomalies. Since suspicious events differ from domain to domain, it remains a challenge to detect those events in major domains such as airport, super malls, educational institutions etc. The proposed Mean Feature Point Matching (MFPM) algorithm is used for detecting unusual events. The Speeded-Up Robust Features (SURF) method is used for feature extraction. The MFPM algorithm compares the feature points of the input image with the mean feature points of trained dataset. The experimental result shows that the proposed system is efficient and accurate for wide variety of surveillance videos.
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Habqa, Fatima, Khader Soliman, and Rabei Mustafa. "Design and Implementation of a Sophisticated Metal Detector Used in the Field of Airport Security." Mediterranean Journal of Basic and Applied Sciences 06, no. 02 (2022): 147–53. http://dx.doi.org/10.46382/mjbas.2022.6214.

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In this research, we designed and implemented an advanced metal detector based on the Atmega328p microprocessor; it is used in the security field to prevent the entry of dangerous metal tools or explosives to places that require a high degree of safety such as schools, airports, universities and commercial malls. Where the mechanism of the electronic scheme of the detector was understood, including what it contains of active and passive electronic components, the microprocessor used how to program it and its technical specifications were identified. After that, we converted the electronic diagram into a printed circuit board (PCB) via easyada.com, And then print this circuit on special paper so that we can transfer it on the copper board, and a special solution was used to remove the copper residues from the board, after that holes were created and the electronic elements were soldered, Moving on to the software part, the Arduino Uno chip was used to act as an ISP programmer, through which the Atmaga328p controller was programmed using AVRDUDESS software, tested with a small coil with a diameter of 1.5cm. The detector gave excellent performance in detecting metal pieces such as copper, aluminum, iron and silver, as well as electrical wires in the walls, where the device screen shows the signal strength of the captured metal as well as the numerical symbol of the metal. It also discovered the presence of a sharp tool hidden in the mouth, shoes or inside the clothes, and the device achieved high performance In discovering metal parts and determining their properties, with an accuracy of 80%.
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Gupta, Dr Sachi. "MapIN - Make a Path Inside." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 31, 2021): 3318–23. http://dx.doi.org/10.22214/ijraset.2021.36397.

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Our aim is to provide a comprehensive summary of the evolution of indoor navigation technologies. Indoor navigation is a system that is used to locate the exact locations inside a campus. To provide a technological aspect of indoor positioning systems, there are a wide range of technologies and approaches. This system does not use the GPS (Global Positioning System) and any other Internet technologies. The aim is to create an app that would show the users a navigation route in the real world via mobile device’s screen. This can be beneficial to citizens in their day to day life as it allows the user to precisely navigate to a specific location in an architecture they have never been to before, such as an airport terminal, a classroom or the library in a campus, malls/retail store to navigate the customers to the items they would like to purchase etc. The created framework ought to give, progressively, valuable route data that empowers a user to settle on reasonable and convenient choices on which course to continue in an indoor space.
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Dhole, Prof Vaishnavi, Palash Lakhe, Vinod Lanjewar, Mayur Bowade, and Mayuri Jaypurkar. "Smart Multifunction Floor Cleaning Robot." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (March 31, 2022): 1297–306. http://dx.doi.org/10.22214/ijraset.2022.40811.

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Abstract: The conventional floor cleaning machines is most widely used in airport platforms, railway platforms, hospitals, bus stands, malls and in many other commercial places. These devices need an electrical energy for its operation and not user friendly. In India, especially in summer, there is power crisis and most of the floor cleaning machine is not used effectively due to this problem, particularly in bus stands. Hence it is a need to develop low cost, user friendly floor cleaning machine. In this project, an effort has been made to develop a solar powered mobile operated floor cleaning machine so that it can be an alternative for conventional floor cleaning machines. In this work, modelling and analysis of the floor cleaning machine was done using suitable commercially available software. The conventionally used materials were considered for the components of floor cleaning machine. From the finite element analysis, we observe that the stress level in the mobile operated floor cleaning machine is within the safe limit. Keywords: Floor cleaning, Floor dryer , Arduino Uno, Bluetooth Communication, LCD display etc.
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Dissertations / Theses on the topic "Airport malls"

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Magazza, Gianmarco. "Digital spaces/ Axians "customer brand engagement" project: scenarios for sensing space at airport, shopping mall and college scale." Master's thesis, 2021. http://hdl.handle.net/10362/123034.

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Driven by the rise of technology the physical world becomes increasingly connected to the digital world. As a result, vast amounts of data from sensorial measurements are available waiting to be fully utilized. The “Customer Brand Engagement” project of Axians, the field lab partner, aims to create a system for the measurement of engagement. Understanding the customer on the inside through data from the outside, will lead to a deeper customer knowledge, which enables forming long lasting and meaningful connections between customers and brands. The available opportunities of such analytics technologies are being examined in the report.
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Books on the topic "Airport malls"

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The naked tourist: In search of adventure and beauty in the age of the airport mall. New York: North Point Press, 2006.

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Osborne, Lawrence. The Naked Tourist: In Search of Adventure and Beauty in the Age of the Airport Mall. North Point Press, 2007.

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Osborne, Lawrence. The Naked Tourist: In Search of Adventure and Beauty in the Age of the Airport Mall. North Point Press, 2007.

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The Naked Tourist. In Search of Adventure and Beauty in the Age of the Airport Mall. North Point Press, 2006.

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Phelps, Nicholas A. Interplaces. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199668229.001.0001.

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Much of the world’s economic activity takes place in interplaces—places between cities and nations, the geographical containers that we have taken for granted for hundreds of years now. In this book Nicholas Phelps provides a guide to this uncharted territory within urban and economic geography. He highlights the importance of intermediary actors and processes in shaping the in-between economy of interplaces. From the airports, shopping malls, and office parks that have sprung up on the roads between cities to work done on the move in cars and trains, to the decisions made by internationally mobile networks of experts in conferences and negotiations, the economic geography of interplaces is revealed as one involving four recurring and coexisting economic geographical formations—the agglomeration, the enclave, the network, and the arena. The author sets out a multidisciplinary perspective and agenda on the question of the how, why, and where much contemporary economic activity takes place.
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Lukas, Scott A. Heritage as Remaking. Edited by Angela M. Labrador and Neil Asher Silberman. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190676315.013.10.

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This chapter argues for a new perspective on heritage, one that is informed by the contexts of remaking. Traditionally, heritage has referred to specific types of architectural, material, and cultural forms and processes that carry with them a sense of monumentality. This writing argues for a new sense of heritage that takes into account the dynamic processes of the contemporary world. A series of five heritage metaphors (and their replacement metaphors) is considered in terms of the main premises of heritage as a cultural and political process. These include the tree (rhizome), battery (Rube Goldberg machine), monument (souvenir), lecture (dialogue), and library (open source). These metaphors are considered through a variety of heritage spaces in the world, including Castle of Matrera, the fresco of Christ in Borja, the Denver International Airport, the Staten Island Ferry Disaster Memorial Monument, O. M. Henrikson Poplar Trees Mall, the Bodie ghost town, the Buddhas of Bamiyan, the Svalbard Global Seed Vault, and the World Data Archive..
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Book chapters on the topic "Airport malls"

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Bednarek, Janet R. "Chapter Four: Airports for the “Jet Set”: Expansion, Iconic Architecture, and Airport Malls." In Airports, Cities, and the Jet Age, 119–48. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31195-1_5.

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Mejía, Victor, Philippe Luu, Mantiaba Coulibaly, Djamila Elidrissi, and Alain Simard. "Is an Airport Like any Other Mall? Identification of Passengers’ Activities Patterns in an International Airport." In Enlightened Marketing in Challenging Times, 329–41. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42545-6_103.

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Hirsh, Max. "Special Zones." In Airport Urbanism. University of Minnesota Press, 2016. http://dx.doi.org/10.5749/minnesota/9780816696093.003.0004.

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The third chapter continues the theme of accommodating travelers despite architectural and social conventions by studying cross border bus networks between Hong Kong and the Chinese city of Shenzhen. These networks developed due to the differences in aviation regulations that made it easier to fly internationally from Hong Kong and cheaper to fly domestically (i.e. within China) from Shenzhen. The de-facto specialization of the two airports produced a system of “cross-boundary” coach terminals at shopping malls and border crossings located throughout Hong Kong and Shenzhen. An ethnographic study of air passengers traveling between the two cities revealed how the increase in cross-border traffic has affected a fundamental redesign of the border zone that separated Hong Kong from the Mainland.
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"You Must Buy before You Can Fly–The Airport Malls." In This Is Not an Atlas, 244–50. transcript-Verlag, 2018. http://dx.doi.org/10.14361/9783839445198-031.

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Rekacewicz, Philippe. "You Must Buy before You Can Fly–The Airport Malls." In This Is Not an Atlas, 244–50. transcript Verlag, 2018. http://dx.doi.org/10.1515/9783839445198-031.

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Harrison, Rodney, and John Schofield. "Non-Places and Virtual Worlds." In After Modernity. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780199548071.003.0015.

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In previous chapters we have considered how we might take an archaeological approach to the contemporary or very recent past in what would be recognized to be a fairly conventional series of archaeological ‘realms’—artefacts, places, and landscape. In this chapter, we will explore some of the ways in which an archaeological approach might be taken to some of the most distinctive features of late modernity. In Chapter 5, we explored a number of these features, highlighting non-places, the work of the imagination, and the virtual as key areas for archaeological inquiry. This chapter takes up some of the challenges of these new materialities (and, indeed, the new ‘virtualities’) of late modernity, considering the ways in which an archaeological approach to the contemporary world might help illuminate aspects of late modernity that have not previously been well understood. As in previous chapters in Part II, this chapter is broken into a number of sections reflecting broad themes relating to the distinctive features of late-modern everyday life—non-places; virtual worlds; experience economies and the work of the imagination; and hyperconsumerism and globalization. In Chapter 5 we looked in detail at Augé’s (1995) concept of the ‘non-place’. Augé uses this term to describe a whole series of spaces in contemporary society—airport lounges, shopping malls, motorways—that he suggests are to be distinguished from ‘places’, in the sense in which these spaces are not relational, historical, or concerned with the establishment of a sense of identity (all those things that characterize the traditional social anthropologist’s interest in ‘place’). These ‘non-places’ are primarily associated with the experience of travel or transit, and reflect the simultaneous time– space expansion and compression that he associates with late modernity. We suggested that such places rely not only on aspects of their generic design, but also on a series of ‘technologies of isolation’ that work together to produce a characteristic feeling of solitude and the emptying of consciousness discussed in Augé’s work.
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Balaji, G. N., S. V. Suryanarayana, and P. Vijayaragavan. "Issues of COVID 19 Screening with Machine Learning Algorithm and Data Sets Availability." In Recent Trends in Intensive Computing. IOS Press, 2021. http://dx.doi.org/10.3233/apc210298.

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There is a need to wear a mask during the coronavirus outbreak to efficiently deter the transmission of COVID-19 virus. In these instances, traditional facial screening technologies obsolete for monitoring of group entry at Airports, shopping malls, railway stations, etc. It is, therefore, vital to boost the efficiency of screening. This paper addresses the machine learning algorithm for contactless face screening systems in group participation, social interaction, school management, mall entry management, and market resumption scenarios in the case of COVID- 19. A method to screen entry with masks are developed using machine learning, which depends on various face specimens that were discussed here. The second fold discussion in this paper is that previously there are not many freely accessible masked face-databases. To this end, various forms of masked face data sets are identified, namely MFDD, Real MFRD, and Simulated MFRD. Such data sets became widely accessible to businesses and academics, based on which specific apps may be built on masked faces. The mathematical model, with the code was given. The availability and issues of the above data sets were discussed for the benefit of researchers.
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Buchanan, Ian. "Schizoanalysis and Postmodern Space." In The Incomplete Project of Schizoanalysis, 145–57. Edinburgh University Press, 2021. http://dx.doi.org/10.3366/edinburgh/9781474487887.003.0010.

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This chapter uses Deleuze’s work on post World War Two cinema has a framework for understanding so-called postmodern space, that is the space of late capitalism, e.g., malls, freeways, motels, airports, and so on. It argues that these spaces can be thought of as ‘any-space-whatevers’, a notion drawn from Deleuze’s account of cinema because they lack the feeling of distinctiveness we typically associate with place. These types of spaces rely on producing simulacras of real places and invite us to enjoy the non-real as though it were an improvement on the original.
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McCahill, Michael. "Theorizing Surveillance in the Pre-Crime Society." In The Pre-Crime Society, 227–48. Policy Press, 2021. http://dx.doi.org/10.1332/policypress/9781529205251.003.0011.

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This chapter interweaves ‘surveillance theory’, ‘policing studies’ and ‘field theory’ (Bourdieu 1984) to examine the politics of ‘pre-crime’ and ‘surveillance’ in the ‘field of policing’. We begin by defining the key concepts (‘surveillance’, ‘pre-crime’ and ‘policing’), before drawing upon a wide range empirical research to examine how ‘risk’, ‘actuarial thinking’, and ‘predictive analytics’ are mediated by police managers, police officers, intelligence analysts, private security officers and citizens going about their business in police stations, CCTV control rooms, welfare offices, shopping malls and airports. The chapter concludes by calling for further research on the informal networks and crossovers that exist between the police and the emerging technological field expertise and on the experience of pre-crime subjects.
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Sasi, Sreela. "Security Applications Using Computer Vision." In Robotic Vision, 60–77. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2672-0.ch004.

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Computer vision plays a significant role in a wide range of homeland security applications. The homeland security applications include: port security (cargo inspection), facility security (embassy, power plant, bank), and surveillance (military or civilian), et cetera. Video surveillance cameras are placed in offices, hospitals, banks, ports, parking lots, parks, stadiums, malls, train stations, airports, et cetera. The challenge is not for acquiring surveillance data from these video cameras, but for identifying what is valuable, what can be ignored, and what demands immediate attention. Computer vision systems attempt to construct meaningful and explicit descriptions of the environment or scene captured in an image. A few Computer Vision based security applications are presented here for securing building facility, railroad (Objects on railroad, and red signal detection), and roads.
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Conference papers on the topic "Airport malls"

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Salah YASSEN, Moumena. "COMPARE OF MEDIAN FILTER AND WIENER FILTER TO DETECT CONCEALED WEAPONS." In V. International Scientific Congress of Pure, Applied and Technological Sciences. Rimar Academy, 2022. http://dx.doi.org/10.47832/minarcongress5-31.

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Many types of terror and terrorist attack aimed to finish our safety and friendly life. Therefore, detecting weapons has become a very important role in our life. Image processing and computer vision are one of the best field that targets to clarify different kinds of images, especially weapons images that can be a source of threat in many places such as metros stations, malls, airports, schools, and train stations. So that, there is a need to employ techniques for discovering different weapons, like guns, knives, and chemical explosives hidden in the clothing. In this paper, we will use different kinds of image filters Median and Wiener to detect images with different weapons. The experimental results ensure that wiener filter is best filter for eliminate noise from the concealed weapons images. Outcomes of this paper have been implemented on MATLAB.
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Al Madeed, Somaya, Omar elharrouss, and Najmath Ottakath. "Intelligent Monitoring System for Crowd Monitoring and Social Distancing with Mask Control." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0305.

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Due to the current COVID situation, there’s a huge need for crowd control as well as efficient social distancing. Security cameras are everywhere but personnel to monitor it are few. In this project, we use crowd counting and detection along with social distancing monitoring which would enable efficient social distancing and control of the crowd intelligently. The lightening of the cumbersome task of the security professionals to monitor and analyze the crowd is done here making smart decisions on their behalf. In addition, masks are essential instruments to prevent a Corona infection; they are essentials for every individual in a crowd. In this project non-facemask wearing people can be detected at public places and an alert send for that particular individual which further helps control COVID infections. Intelligent system achieved by these two tasks will enable informed decision-making, efficient remote monitoring of crowd, proper social distancing and thus achieving safety at essential infrastructures like transport stations, schools, malls, airports, playground, hospitals etc. where tracking multiple cameras at the same time would be a hassle for security professionals. In this project, we propose a deep learning approach to accurately detect crowd above a certain restriction and make sure the individuals abide by wearing masks and social distancing effectively.
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Dobrilovic, D., Z. Stojanov, J. Stojanov, and M. Malic. "Tools for modelling distance estimation based on RSSI." In The International Workshop on Information, Computation, and Control Systems for Distributed Environments. Crossref, 2020. http://dx.doi.org/10.47350/iccs-de.2020.04.

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The systems for localization of resources in indoor environments based on Received Signal Strength Indicator (RSSI) are widely used today. Since satellite navigation systems, such as GPS or GLONASS, have certain difficulties in the indoor environments, the signals of deployed wireless devices, such as sensor nodes, access points etc, are used for localization instead. Those systems are known as Indoor Positioning System (IPS). Those systems are used for resource tracking and positioning in places such as airports, railway stations, shopping malls, warehouses, production facilities, construction sites, and healthcare institutions. The Bluetooth Low Energy is one of the wireless technologies that can be used with great efficiency for indoor localization. It offers easy and economic implementation on mobile devices such as smart phones and tablets. There are many techniques used for determination of position. In a number of methods, such as ROCRSSI or MinMax, the distance from the wireless nodes is used for calculating the location. In those systems the main challenge is to accurately estimate distance from the device based on signal strength. In this paper, usability of various software tools for modelling the distance estimation based on RSSI is discussed. Those software tools are Microsoft Access, R Studio, Octave, and Python.
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