Optimized Rule Sets for Automatic Landslide Characteristic Detection in a Highly Vegetated Forests

Author(s):  
Biswajeet Pradhan ◽  
Mustafa Ridha Mezaal
Keyword(s):  
2019 ◽  
Author(s):  
Sawyer Reid stippa ◽  
George Petropoulos ◽  
Leonidas Toulios ◽  
Prashant K. Srivastava

Archaeological site mapping is important for both understanding the history as well as protecting them from excavation during the developmental activities. As archaeological sites generally spread over a large area, use of high spatial resolution remote sensing imagery is becoming increasingly applicable in the world. The main objective of this study was to map the land cover of the Itanos area of Crete and of its changes, with specific focus on the detection of the landscape’s archaeological features. Six satellite images were acquired from the Pleiades and WorldView-2 satellites over a period of 3 years. In addition, digital photography of two known archaeological sites was used for validation. An Object Based Image Analysis (OBIA) classification was subsequently developed using the five acquired satellite images. Two rule-sets were created, one using the standard four bands which both satellites have and another for the two WorldView-2 images their four extra bands included. Validation of the thematic maps produced from the classification scenarios confirmed a difference in accuracy amongst the five images. Comparing the results of a 4-band rule-set versus the 8-band showed a slight increase in classification accuracy using extra bands. The resultant classifications showed a good level of accuracy exceeding 70%. Yet, separating the archaeological sites from the open spaces with little or no vegetation proved challenging. This was mainly due to the high spectral similarity between rocks and the archaeological ruins. The satellite data spatial resolution allowed for the accuracy in defining larger archaeological sites, but still was a difficulty in distinguishing smaller areas of interest. The digital photography data provided a very good 3D representation for the archaeological sites, assisting as well in validating the satellite-derived classification maps. All in all, our study provided further evidence that use of high resolution imagery may allow for archaeological sites to be located, but only where they are of a suitable size archaeological features.


2000 ◽  
Vol 112 (1) ◽  
pp. 141-154 ◽  
Author(s):  
Ching-Hung Wang ◽  
Tzung-Pei Hong ◽  
Shian-Shyong Tseng

Author(s):  
Shou-Heng Huang ◽  
Ron M. Nelson

Abstract A feedforward, three-layer, partially-connected artificial neural network (ANN) is proposed to be used as a rule selector for a rule-based fuzzy logic controller. This will allow the controller to adapt to various control modes and operating conditions for different plants. A principal advantage of an ANN over a look up table is that the ANN can make good estimates to fill in for missing data. The control modes, operating conditions, and control rule sets are encoded into binary numbers as the inputs and outputs for the ANN. The General Delta Rule is used in the backpropagation learning process to update the ANN weights. The proposed ANN has a simple topological structure and results in a simple analysis and relatively easy implementation. The average square error and the maximal absolute error are used to judge if the correct connections between neurons are set up. Computer simulations are used to demonstrate the effectiveness of this ANN as a rule selector.


2012 ◽  
Vol 263-266 ◽  
pp. 2915-2919
Author(s):  
Gao Long Ma ◽  
Wen Tang

With the great increasing of high-speed networks,the traditional network intrusion detection system(NIDS) has a serious problem with handling heavy traffic loads in real-time ,which may result in packets loss and error detection . In this paper we will introduce the efficient load balancing scheme into NIDS and improve rule sets of the detection engine so as to make NIDS more suitable to high-speed networks environment.


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Kefaya Qaddoum ◽  
E. L. Hines ◽  
D. D. Iliescu

In the area of greenhouse operation, yield prediction still relies heavily on human expertise. This paper proposes an automatic tomato yield predictor to assist the human operators in anticipating more effectively weekly fluctuations and avoid problems of both overdemand and overproduction if the yield cannot be predicted accurately. The parameters used by the predictor consist of environmental variables inside the greenhouse, namely, temperature, CO2, vapour pressure deficit (VPD), and radiation, as well as past yield. Greenhouse environment data and crop records from a large scale commercial operation, Wight Salads Group (WSG) in the Isle of Wight, United Kingdom, collected during the period 2004 to 2008, were used to model tomato yield using an Intelligent System called “Evolving Fuzzy Neural Network” (EFuNN). Our results show that the EFuNN model predicted weekly fluctuations of the yield with an average accuracy of 90%. The contribution suggests that the multiple EFUNNs can be mapped to respective task-oriented rule-sets giving rise to adaptive knowledge bases that could assist growers in the control of tomato supplies and more generally could inform the decision making concerning overall crop management practices.


M/C Journal ◽  
2020 ◽  
Vol 23 (3) ◽  
Author(s):  
Daniel De Zeeuw ◽  
Marc Tuters

At the fringes of the platform economy exists another web that evokes an earlier era of Internet culture. Its anarchic subculture celebrates a form of play based based on dissimulation. This subculture sets itself against the authenticity injunction of the current mode of capitalist accumulation (Zuboff). We can imagine this as a mask culture that celebrates disguise in distinction to the face culture as embodied by Facebook’s “real name” policy (de Zeeuw and Tuters). Often thriving in the anonymous milieus of web forums, this carnivalesque subculture can be highly reactionary. Indeed, this dissimulative identity play has been increasingly weaponized in the service of alt-right metapolitics (Hawley).Within the deep vernacular web of forums and imageboards like 4chan, users play by a set of rules and laws that they see as inherent to online interaction as such. Poe’s Law, for example, states that “without a clear indicator of the author's intent, it is impossible to create a parody of extreme views so obviously exaggerated that it cannot be mistaken by some readers for a sincere expression of the parodied views”. When these “rule sets” are enacted by a massive angry white teenage male demographic, the “weapons of the geek” (Coleman) are transformed into “toxic technoculture” (Massanari).In light of an array of recent predicaments in digital culture that trace back to this part of the web or have been anticipated by it, this special issue looks to host a conversation on the material practices, (sub)cultural logics and web-historical roots of this deep vernacular web and the significance of dissimulation therein. How do such forms of deceptive “epistemological” play figure in digital media environments where deception is the norm —  where, as the saying goes, everyone knows that “the internet is serious business” (which is to say that it is not). And how in turn is this supposed culture of play challenged by those who’ve only known the web through social media?Julia DeCook’s article in this issue addresses the imbrication of subcultural “lulz” and dissimulative trolling practices with the emergent alt-right movement, arguing that this new online confluence  has produced its own kind of ironic political aesthetic. She does by situating the latter in the more encompassing historical dynamic of an aestheticization of politics associated with fascism by Walter Benjamin and others.Having a similar focus but deploying more empirical digital methods, Sal Hagen’s contribution sets out to explore dissimulative and extremist online groups as found on spaces like 4chan/pol/, advocating for an “anti-structuralist” and “demystifying” approach to researching online subcultures and vernaculars. As a case study and proof of concept of this methodology, the article looks at the dissemination and changing contexts of the use of the word “trump” on 4chan/pol/ between 2015 and 2018.Moving from the unsavory depths of anonymous forums like 4chan and 8chan, the article by Lucie Chateau looks at the dissimulative and ironic practices of meme culture in general, and the subgenre of depression memes on Instagram and other platforms, in particular. In different and often ambiguous ways, the article demonstrates, depression memes and their ironic self-subversion undermine the “happiness effect” and injunction to perform your authentic self online that is paradigmatic for social media platforms like Facebook and Instagram. In this sense, depression meme subculture still moves in the orbit of the early Web’s playful and ironic mask cultures.Finally, the contribution by Joanna Zienkiewicz looks at the lesser known platform Pixelcanvas as a battleground and playfield for antagonistic political identities, defying the wisdom, mostly proffered by the alt-right, that “the left can’t meme”. Rather than fragmented, hypersensitive, or humourless, as online leftist identity politics has lately been criticized for by Angela Nagle and others, leftist engagement on Pixelcanvas deploys similar transgressive and dissimulative tactics as the alt-right, but without the reactionary and fetishized vision that characterises the latter.In conclusion, we offer this collection as a kind of meditation on the role of dissimulative identity play in the fractured post-centrist landscape of contemporary politics, as well as a invitation to think about the troll as a contemporary term by which "our understanding of the cybernetic Enemy Other becomes the basis on which we understand ourselves" (Gallison).ReferencesColeman, Gabriella. Hacker, Hoaxer, Whistleblower, Spy: The Many Faces of Anonymous. New York: Verso, 2014.De Zeeuw, Daniël, and Marc Tuters. "Teh Internet Is Serious Business: On the Deep Vernacular Web and Its Discontents." Cultural Politics 16.2 (2020): 214–232.Galison, Peter. “The Ontology of the Enemy.” Critical Inquiry 21.1 (2014): 228–66.Hawley, George. Making Sense of the Alt-Right. New York: Columbia UP, 2017.Massanari, Adrienne. “#Gamergate and the Fappening: How Reddit’s Algorithm, Governance, and Culture Support Toxic Technocultures.” New Media & Society 19.3 (2016): 329–46.Zuboff, Shoshana. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: PublicAffairs, 2019.


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