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(1 - 7 of 7)
- Title
- Man in the age of mechanical reproduction: variations on transhumanism in the works of Smith, Delany, Dick, Wells and Gibson.
- Creator
- Herzek, Charles Barry., Florida Atlantic University, Dorothy F. Schmidt College of Arts and Letters, Department of English
- Abstract/Description
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Science fiction identifies three characteristics as definitive of and essential to humanity: 1) sentience or self-awareness, 2) emotions, and 3) most importantly, the capacity for sociability. Through the vital possession of these three traits any entity can come to be called human. In the first chapter, I examine Cordwainer Smith's "Scanners Live in Vain" and Samuel R. Delany's "Aye and Gomorrah...," two stories in which human subjects become Other than human. In the second chapter, I...
Show moreScience fiction identifies three characteristics as definitive of and essential to humanity: 1) sentience or self-awareness, 2) emotions, and 3) most importantly, the capacity for sociability. Through the vital possession of these three traits any entity can come to be called human. In the first chapter, I examine Cordwainer Smith's "Scanners Live in Vain" and Samuel R. Delany's "Aye and Gomorrah...," two stories in which human subjects become Other than human. In the second chapter, I explore the prospect of creatures, not biologically human who gain human status through an analysis of Smith's "The Dead Lady of Clown Town" and Philip K. Dick's Do Androids Dream of Electric Sheep? In the third chapter, I investigate the uniquely science fictional notion that "humanity" does not require biology through a comparison of H.G. Wells's The Island of Dr. Moreau and William Gibson's Idoru.
Show less - Date Issued
- 2008
- PURL
- http://purl.flvc.org/FAU/77644
- Subject Headings
- Characters and characteristics in literature, Humanity, Ethics, Modern
- Format
- Document (PDF)
- Title
- Living Capital: Situating Animals within Capitalist Modes of Production in Science Fiction.
- Creator
- Cervone, Skye, Hagood, Taylor, Florida Atlantic University, Department of English, Dorothy F. Schmidt College of Arts and Letters
- Abstract/Description
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This study addresses the relationship between animals and capitalism in Philip K. Dick’s Do Androids Dream of Electric Sheep?, Grant Morrison and Frank Quitely’s We3, and Margaret Atwood’s MaddAddam trilogy. These texts and their authors attempted to change the conversation surrounding animals and imagine alternatives to traditional thinking surrounding animal subjectivity. Despite their intentions, however, the authors fail to depict non-exploitative relationships with animals within...
Show moreThis study addresses the relationship between animals and capitalism in Philip K. Dick’s Do Androids Dream of Electric Sheep?, Grant Morrison and Frank Quitely’s We3, and Margaret Atwood’s MaddAddam trilogy. These texts and their authors attempted to change the conversation surrounding animals and imagine alternatives to traditional thinking surrounding animal subjectivity. Despite their intentions, however, the authors fail to depict non-exploitative relationships with animals within capitalist systems, suggesting an inherently exploitative relationship between animals and biopolitical capitalism.
Show less - Date Issued
- 2019
- PURL
- http://purl.flvc.org/fau/fd/FA00013364
- Subject Headings
- Animals, Capitalism, Atwood, Margaret, 1939- MaddAddam trilogy, Quitely, Frank, 1968-, Dick, Philip K Do androids dream of electric sheep?, Science fiction
- Format
- Document (PDF)
- Title
- Deep Learning for Android Application Ransomware Detection.
- Creator
- Wongsupa, Panupong, Zhu, Xingquan, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
Smartphones and mobile tablets are rapidly growing, and very important nowadays. The most popular mobile operating system since 2012 has been Android. Android is an open source platform that allows developers to take full advantage of both the operating system and the applications itself. However, due to the open source community of an Android platform, some Android developers took advantage of this and created countless malicious applications such as Trojan, Malware, and Ransomware. All...
Show moreSmartphones and mobile tablets are rapidly growing, and very important nowadays. The most popular mobile operating system since 2012 has been Android. Android is an open source platform that allows developers to take full advantage of both the operating system and the applications itself. However, due to the open source community of an Android platform, some Android developers took advantage of this and created countless malicious applications such as Trojan, Malware, and Ransomware. All which are currently hidden in a large number of benign apps in official Android markets, such as Google PlayStore, and Amazon. Ransomware is a malware that once infected the victim’s device. It will encrypt files, unlock device system, and display a popup message which asks the victim to pay ransom in order to unlock their device or system which may include medical devices that connect through the internet. In this research, we propose to combine permission and API calls, then use Deep Learning techniques to detect ransomware apps from the Android market. Permissions setting and API calls are extracted from each app file by using a python library called AndroGuard. We are using Permissions and API call features to characterize each application, which can identify which application has potential to be ransomware or is benign. We implement our Android Ransomware Detection framework based on Keras, which uses MLP with back-propagation and a supervised algorithm. We used our method with experiments based on real-world applications with over 2000 benign applications and 1000 ransomware applications. The dataset came from ARGUS’s lab [1] which validated algorithm performance and selected the best architecture for the multi-layer perceptron (MLP) by trained our dataset with 6 various of MLP structures. Our experiments and validations show that the MLPs have over 3 hidden layers with medium sized of neurons achieved good results on both accuracy and AUC score of 98%. The worst score is approximately 45% to 60% and are from MLPs that have 2 hidden layers with large number of neurons.
Show less - Date Issued
- 2018
- PURL
- http://purl.flvc.org/fau/fd/FA00013151
- Subject Headings
- Deep learning, Android (Electronic resource)--Security measures, Malware (Computer software)--Prevention
- Format
- Document (PDF)
- Title
- An Android approach to web services resource framework.
- Creator
- Garcia-Kunzel, Adriana., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
Web services have become increasingly important over the past decades. Versatility and platform independence are just some of their advantages. On the other hand, grid computing enables the efficient distribution of computing resources. Together, they provide a great source of computing power that can be particularly leveraged by mobile devices. Mobile computing enables information creation, processing, storage and communication without location constraints [63], not only improving business'...
Show moreWeb services have become increasingly important over the past decades. Versatility and platform independence are just some of their advantages. On the other hand, grid computing enables the efficient distribution of computing resources. Together, they provide a great source of computing power that can be particularly leveraged by mobile devices. Mobile computing enables information creation, processing, storage and communication without location constraints [63], not only improving business' operational efficiency [63] but actually changing a way of life. However, the convenience of anytime and anywhere communication is counterbalanced by small screens, limited computing power and battery life. Despite these limitations, mobile devices can extend grid functionality by bringing to the mix not only mobile access but sensing capabilities as well, gathering information from their surroundings through built in mechanisms, such as microphone, camera, GPS and even accelerometers. Prior work has already demonstrated the possibility of enabling Web Services Resource Framework (WSRF) access to grid resources from mobile device clients in the WSRF-ME project [39], where a representative Nokia S60 Smartphone application was created on a framework, which extends the JSR-172 functionality to achieve WSRF compliance. In light of today's mobile phone market diversity, this thesis extends the solution proposed by WSRF-ME to non-Java ME phones and to Android devices in particular. Android-based device numbers have grown considerably over the past couple of years despite its recent creation and reduced availability of mature software tools., Therefore, Android's web service capabilities are studied and the original framework is analyzed in order to propose a modified framework version that achieves and documents WSRF compliant communication form Android for the first time. As a case study, an illustrative mobile File Explorer application is developed to match the mod framework' functionality to the original WSRF-ME's use case. An additional case study, the LIGO Monitor application, shows the viability of mobile web services for monitoring purposes in the Laser Interferometer Gravitational Observatory (LIGO) grid environment for the first time. The context that an actual application implementation such as LIGO provides, allows some of the challenges of real mobile grid clients to surface. As a result, the observations made during this development give way to the drafting of a preliminary set of guidelines for Globus service implementation suitable for Android consumption that still remain open for proof in future works.
Show less - Date Issued
- 2010
- PURL
- http://purl.flvc.org/FAU/2684891
- Subject Headings
- Application software, Development, Mobile communication systems, User interfaces (Computer systems), Computational grids (Computer systems), Data structures (Computer science)
- Format
- Document (PDF)
- Title
- Object recognition on Android mobil platform using speeded up robust features.
- Creator
- Tyagi, Vivek K., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
In recent years there has been great interest in implementing object recognition frame work on mobile phones. This has stemmed from the fact the advances in object recognition algorithm and mobile phone capabilities have built a congenial ecosystem. Application developers on mobile platforms are trying to utilize the object recognition technology to build better human computer interfaces. This approach is in the nascent phase and proper application framework is required. In this thesis, we...
Show moreIn recent years there has been great interest in implementing object recognition frame work on mobile phones. This has stemmed from the fact the advances in object recognition algorithm and mobile phone capabilities have built a congenial ecosystem. Application developers on mobile platforms are trying to utilize the object recognition technology to build better human computer interfaces. This approach is in the nascent phase and proper application framework is required. In this thesis, we propose a framework to overcome design challenges and provide an evaluation methodology to assess the system performance. We use the emerging Android mobile platform to implement and test the framework. We performed a case study using the proposal and reported the test result. This assessment will help developers make wise decisions about their application design. Furthermore, the Android API developers could use this information to provide better interfaces to the third party developers. The design and evaluation methodology could be extended to other mobile platforms for a wider consumer base.
Show less - Date Issued
- 2010
- PURL
- http://purl.flvc.org/FAU/2683531
- Subject Headings
- Mobile computing, Application software, Development, Object-oriented programming (Computer software), Pattern recognition systems, Development
- Format
- Document (PDF)
- Title
- Shifters.
- Creator
- Ortega, Donovan, Bucak, Ayse Papatya, Florida Atlantic University, Dorothy F. Schmidt College of Arts and Letters, Department of English
- Abstract/Description
-
Shifters is a novel that takes place in a city in which humans and humanoid creatures called “shifters” are grown in test-tubes and taught how to live by androids and books. The city belief structure is centered on supernatural beings called Guardians. The Guardians never appear, but are symbolized by a Light above the horizon. Humans and shifters live under oppressive social structures that limit their agency. Most of the city’s inhabitants do not realize they are enslaved by arbitrary...
Show moreShifters is a novel that takes place in a city in which humans and humanoid creatures called “shifters” are grown in test-tubes and taught how to live by androids and books. The city belief structure is centered on supernatural beings called Guardians. The Guardians never appear, but are symbolized by a Light above the horizon. Humans and shifters live under oppressive social structures that limit their agency. Most of the city’s inhabitants do not realize they are enslaved by arbitrary systems. The novel’s protagonists must learn to overcome these damaging constructs and journey away from the city in order to find a new life, free of fabrication and falsity.
Show less - Date Issued
- 2015
- PURL
- http://purl.flvc.org/fau/fd/FA00004397, http://purl.flvc.org/fau/fd/FA00004397
- Subject Headings
- Paranormal fiction, American, Androids--Fiction, Supernatural in literature
- Format
- Document (PDF)
- Title
- Campus driver assistant on an Android platform.
- Creator
- Zankina, Iana., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
College campuses can be large, confusing, and intimidating for new students and visitors. Finding the campus may be easy using a GPS unit or Google Maps directions, but this is not the case when you are actually on the campus. There is no service that provides directional assistance for the campus itself. This thesis proposes a driver assistant application running on an Android platform that can direct drivers to different buildings and parking lots in the campus. The application's user...
Show moreCollege campuses can be large, confusing, and intimidating for new students and visitors. Finding the campus may be easy using a GPS unit or Google Maps directions, but this is not the case when you are actually on the campus. There is no service that provides directional assistance for the campus itself. This thesis proposes a driver assistant application running on an Android platform that can direct drivers to different buildings and parking lots in the campus. The application's user interface lets the user select a user type, a campus, and a destination through use of drop down menus and buttons. Once the user submits the needed information, then the next portion of the application runs in the background. The app retrieves the Campus Map XML created by the mapping tool that was constructed for this project. The XML data containing all the map elements is then parsed and stored in a hierarchal data structure. The resulting objects are then used to construct a campus graph, on which an altered version of Dijkstra's Shortest Path algorithm is executed. When the path to the destination has been discovered, the campus map with the computed path overlaid is displayed on the user's device, showing the route to the desired destination.
Show less - Date Issued
- 2012
- PURL
- http://purl.flvc.org/FAU/3359159
- Subject Headings
- Mobile computing, Software engineering, Application software, Development
- Format
- Document (PDF)
