Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 82 for “"guessing"”.
-
Guessing human-chosen secrets
… This dissertation studies the difficulty of guessing human-chosen secrets, introducing a sound mathematical framework modeling human choice as a skewed probability distribution. We introduce a new metric, alpha-guesswork, which can accurately models the resistance of a distribution against …
-
The Architectural Coincidence: guessing consciously, gauging unconsciously
Gauging and guessing is a metaphor that represents the duality in the process of architectural design, between logic and intuition, reasoning and chancing, the explicit and the implicit. Throughout history, this duality implies not only different design methodologies but also deeply-rooted design …
-
Syllables and the M Language : improving unknown word guessing
Despite the huge amount of computer data that exists today, the task of sharing information between organizations is still tackled largely on a case-by-case basis. The M Language is a data language that improves data sharing and interoperability by building a platform on top of XML and a semantic …
-
Combining Channel Sounding and Guessing Random Additive Noise Decoding
… can be used to improve the performance of Guessing Random Additive Noise Decoding. The trade-off between devoting resources to channel sounding and data transmission is investigated for pilot symbol assisted modulation schemes. Using a soft-information variant of the GRAND algorithm called …
-
Guessing Random Additive Noise Decoding (GRAND), from Performance to Implementation
… memory avoiding performance degradation. The Guessing Random Additive Noise Decoding (GRAND) algorithm makes such a decoder possible. Its prevailing research is outlined in Chapter 1. The well-known Markovian channels are selected for investigation in Chapter 2, leading to the Markov ordered …
-
Quantized Guessing Random Additive Noise Decoding - A Universal Quantized Soft-Decoder
Guessing Random Additive Noise Decoding (GRAND) has proven to be a universal, maximum likelihood decoder. Multiple extensions of GRAND have been introduced, giving way to a class of universal decoders. GRAND itself describes a hard-detection decoder, so a natural extension was to incorporate the …
-
Guessing Random Additive Noise Decoding in Coded Multiple-Input Multiple-Output Systems
… thesis, we explore the emerging FEC paradigm of Guessing Random Additive Noise Decoding (GRAND) in a point-to-point MIMO system. Treating GRAND as an FEC decoder disjoint from the MIMO detector, we compare the soft-decision Ordered Reliability Bits GRAND (ORBGRAND) to CRC-Assisted Successive …
-
Non-orthogonal multiple access using guessing random additive noise decoding aided macrosymbols
We propose guessing random additive noise decoding-aided macrosymbols (GRANDAM) as a nonorthogonal multiple access (NOMA) method that can detect, error correct, and decode multiple users in multiple input multiple output (MIMO) systems that involve imperfect channel estimation, symbol-wise …
-
The Exploration of the Relationship Between Guessing and Latent Ability in IRT Models
… explored the relationship between successful guessing and latent ability in IRT models. A new IRT model was developed with a guessing function integrating probability of guessing an item correctly with the examinee's ability and the item parameters. The conventional 3PL IRT model was compared …
-
Can guessing intention be a useful component of a personalised system to support social understanding?: A case study involving three adults with Asperger syndrome
… situations (e.g. ‘will I be ok?’) so found guessing the intention of others useful. Participants noticed the unusual in relation to people or situations as a cue to go ‘on alert’, then used their uncovered existing knowledge of the person or situation to guess their intention. Personalised …
-
The Robustness of Rasch True Score Preequating to Violations of Model Assumptions Under Equivalent and Nonequivalent Populations
… however, true score equating was not robust to guessing and to the interaction of guessing and nonequivalent item discriminations. Equating bias due to guessing was most marked at the low end of the score scale. Equating an easier new form to a more difficult base form produced negative bias. …
-
Conspiracy Theory: An Empirical Study of Cheating in a Continuous Testing Environment
… Study One evaluated item length, difficulty, guessing, discrimination, serial position, misfit, format, memoriability, clarity, familiarity, interest, and examinee ability as predictors of item recall. Item recall was coded either using a full item memory criteria or partial item memory …
-
Improving Authentication for Users via Better Understanding Password Use and Abuse
… We develop a guessability metric which produces guessing success results that are independent of the underlying distribution of the data. We use this to prove that small password breaches can lead to major vulnerabilities to entire cohorts of other users. We also demonstrate that a tailored …
-
Comparing 12 finite state models of examinee performance on multiple-choice tests
… identifiability of distractors and examinee guessing strategies were adopted and the corresponding finite state models were actualized. Three consequences of the adoption of the 12 sets of assumptions were investigated: 1) the extent to which the resulting ability estimates rank ordered the …
-
Calibration Efficacy of Three Logistic Models to the Degrees of Reading Power Test Using Residual Analysis
… When the DRP is used in a high stakes setting, guessing is likely for those in jeopardy of failing. Under these circumstances, we must attend to the possibility that guessing may be a factor and thereby calibrate the DRP with the three-parameter model, as this model takes guessing into account.
-
Parsimonious item response theory modeling with different link functions
… that the CLL model accounts for the effect of guessing because it has an item characteristic curve with a higher inflection point than that of the traditional Rasch or two-parameter logistic (2PL) models. Similarly, the NLL model addresses the effects of slipping via an inflection point that is …
-
An in-depth analysis of guesser behavior
… on different password guessers and their guessing abilities. We devise new metrics and statistics that directly compare the types of passwords each guesser generates, extending analysis beyond number of passwords guessed which is the primary form of analysis in literature currently. This …
Page 1 of 5