AN EVALUATION OF THE NOVEL "NORMALIZED-REDUNDANCY" REPRESENTATION FOR PLANAR CURVES

1996 ◽  
Vol 10 (07) ◽  
pp. 769-789 ◽  
Author(s):  
J. FDEZ-VALDIVIA ◽  
J. A. GARCIA ◽  
M. GARCIA-SILVENTE
Keyword(s):  
Computational Complexity ◽  
Prior Knowledge ◽  
Shape Representation ◽  
Shape Recognition ◽  
General Purpose ◽  
The Novel ◽  
Time And Space ◽  
Novel Approach ◽  
Order Polynomial ◽  
Different Levels

In this paper, a novel approach for improving model-based recognition is proposed. Our approach provides a suitable shape representation by extracting only the most significant scales that best describe a planar noisy curve. The proposed representation satisfies several necessary criteria for general-purpose shape representation methods. The representation is capable of dealing with different levels of noise, it does not require user-set parameters or prior knowledge about the curve's nature, it also has a very low-order polynomial computational complexity in time and space. Hence such a shape representation is very useful for shape recognition. The method depends on the connection between the redundancy of two signals' smoothed versions and the essential structure being simultaneously isolated in both versions. Two different ways of formulating this approach are described in this paper: the global "normalized-redundancy" representation and the local "normalized-redundancy" representation. Results of applying the proposed formulation to synthetic and real 2-D shapes are presented.

scholarly journals Linear Bandits with Feature Feedback

2020 ◽  
Vol 34 (04) ◽  
pp. 5331-5338
Author(s):  
Urvashi Oswal ◽  
Aniruddha Bhargava ◽  
Robert Nowak
Keyword(s):  
Computational Complexity ◽  
Prior Knowledge ◽  
Real World ◽  
Time Horizon ◽  
The Novel ◽  
Bandit Problem ◽  
Real World Applications ◽  
New Form ◽  
Feature Feedback ◽  
Over Time

This paper explores a new form of the linear bandit problem in which the algorithm receives the usual stochastic rewards as well as stochastic feedback about which features are relevant to the rewards, the latter feedback being the novel aspect. The focus of this paper is the development of new theory and algorithms for linear bandits with feature feedback which can achieve regret over time horizon T that scales like k√T, without prior knowledge of which features are relevant nor the number k of relevant features. In comparison, the regret of traditional linear bandits is d√T, where d is the total number of (relevant and irrelevant) features, so the improvement can be dramatic if k ≪ d. The computational complexity of the algorithm is proportional to k rather than d, making it much more suitable for real-world applications compared to traditional linear bandits. We demonstrate the performance of the algorithm with synthetic and real human-labeled data.

APPLICATION OF ABRASIVE-WATER JET TECHNOLOGY FOR MATERIAL SCULPTURING

2010 ◽  
Vol 34 (3-4) ◽  
pp. 389-400 ◽  
Author(s):  
Przemyslaw J. Borkowski
Keyword(s):  
Water Pressure ◽  
Three Dimensional ◽  
Water Jet ◽  
The Novel ◽  
Abrasive Water Jet ◽  
Two Dimensional Image ◽  
Novel Approach ◽  
Novel Method ◽  
Experimental Testbed ◽  
Different Levels

This paper presents a novel method for the 3D sculpturing of different materials using a high-pressure abrasive water jet. The approach involves scanning an image, such as a photograph, and relating the color values of each pixel in the resulting bitmap image to the feed rate of the water jet. Keeping all other parameters such as stand-off distance and water pressure constant, different water jet feed rates will causes different levels of erosion of material. As a result, a three-dimensional sculptured surface will be realized from a two-dimensional image. The paper describes a mathematical model for shaping the material, as well as the experimental testbed used to test the novel approach. Also presented are methodical and experimental erosion results as well as a particular example of bas-relief made of metal.

Manifestations of the bias of an unreliable narrator in novel by V. Domontovich “Doctor Serafikus”

2018 ◽  
pp. 132-138
Author(s):  
М. І. Підодвірна
Keyword(s):  
Narrative Analysis ◽  
Focal Point ◽  
Comprehensive Analysis ◽  
The Novel ◽  
Personal Interest ◽  
Cognitive Approach ◽  
Personal Story ◽  
Unreliable Narrator ◽  
German Researcher ◽  
Different Levels

The results and achievements of the main schools and directions of naratology indicate the need to reread both well-known and recondite texts in order to spell out the meanings. We believe that the narrative analysis of prose by Victor Domontovich (the Ukrainian intellectual writer) is interesting and relevant. The article attempts to characterize the manifestations of the bias of an unreliable narato in the novel “Doctor Seraficus” based on the A. Nyuninga’s cognitive approach. A modern German researcher provides a set of tools that can supplemented for a multidimensional consideration of all ambiguities and contradictions in the text. An intelligent game that unfolds in the text manifests itself at different levels. V. Domontovych conducts the biggest game, the game with meaning through the pending authority of unreliable presenter. The text of the novel consists of abstract reflections, notes, dreams, illusions, fantasies, dreams and retrospective journeys. The main law of the text is the game. Irony and contradictions in the narrator’s words encourage the reader to feel dissonance, uncertainty. Therefore, in a narrative analysis, attention is focused on the speaker and who sees (the focal point). It was investigated that the artist Corvin is the narrator of the novel “Doctor Serafikus”, he tries to give as much as possible objectively the personal story. The motives for the unreliability narration based on the personal interest and bias of the character are determined. We identified the main symptoms of the unreliability of the narrator in the work, and the different levels at which the corresponding narrative is expressed, are highlighted. It is established that an unreliable narrative forces distancing itself from a narrator and takes everything that has been said with caution and detachment. Detailed narrative analysis of the work sheds light on the meanings, which for some reason masked, and allows you to establish artistic functions of an unreliable narrator. We believe that understanding this phenomenon makes it possible to make a comprehensive analysis of artistic text.

Exploring normative perceptions and misperceptions of private, environmentally impactful behaviours

2020 ◽  
Author(s):  
Elaine Gallagher ◽  
Bas Verplanken ◽  
Ian Walker
Keyword(s):  
Social Norms ◽  
Behaviour Change ◽  
Social Contexts ◽  
The Novel ◽  
Normative Influence ◽  
Change Mechanism ◽  
Novel Approach ◽  
Classical Studies ◽  
Referent Group

Social norms have been shown to be an effective behaviour change mechanism across diverse behaviours, demonstrated from classical studies to more recent behaviour change research. Much of this research has focused on environmentally impactful actions. Social norms are typically utilised for behaviour change in social contexts, which facilitates the important element of the behaviour being visible to the referent group. This ensures that behaviours can be learned through observation and that deviations from the acceptable behaviour can be easily sanctioned or approved by the referent group. There has been little focus on how effective social norms are in private or non-social contexts, despite a multitude of environmentally impactful behaviours occurring in the home, for example. The current study took the novel approach to explore if private behaviours are important in the context of normative influence, and if the lack of a referent groups results in inaccurate normative perceptions and misguided behaviours. Findings demonstrated variance in normative perceptions of private behaviours, and that these misperceptions may influence behaviour. These behaviours are deemed to be more environmentally harmful, and respondents are less comfortable with these behaviours being visible to others, than non-private behaviours. The research reveals the importance of focusing on private behaviours, which have been largely overlooked in the normative influence literature.

Cognitive Models and Narrative Construction

2020 ◽  
pp. 90-103
Author(s):  
Mikhail Tarasov
Keyword(s):  
Text Analysis ◽  
Cognitive Models ◽  
Narrative Construction ◽  
Cognitive Structures ◽  
The Novel ◽  
Adequate Description ◽  
Cognitive Approach ◽  
Concept Model ◽  
Analysis And Synthesis ◽  
Different Levels

The article deals with the narrative text construction. The study thoroughly analyzes cognitive models that can become the basis of this process. Firstly, the author is studying the theory of rhetoricalcommonplaces. The article shows that this theory is suitable for constructing a rhetorical text, but not a narrative one. The second model discussed is the concept model. The article argues that this model is most convenient for text analysis, but not for its formation. Marvin Minsky's frame theory is analyzed in detail. It is stated that the theory of frames and individual narrative concepts, in particular those formulated by R. Barth, have much in common. It is concluded that the theory of frames can be perceived as the ontological basis of the narrative scientific description. In addition, the article briefly discusses the cognitive model by R. Quillian and R. Langacker. Their essence is to highlight the main and secondary content in the text. The possibility of using these models in the text analysis and its synthesis is proved by their conceptual similarity with G.Y. Solganik’s analysis of the novel by L. Tolstoy. Special attention is paid to the theory of R. Abelson. It is argued that the proposed hierarchy of cognitive structures has a generalizing character and is adequate to the text. The article gives an example based on a local narrative figure analysis undertaken by V.V. Vinogradov. The paper indicates the possibility to describe this figure within Abelson's theory. As a result of different cognitive models and narrative conceptscomparison, the article formulates the sequence of stages in the analysis and synthesis of text units found at different levels. The first stage of this sequence is the narrative figures analysis. The second one is the analysis of episodes, which are narrative figures associations. The third one is the analysis of the text plot structures. It is proposed to consider text units as realizations of cognitive structures. It is argued that the cognitive approach to the narrative provides its holistic and detailed adequate description.

scholarly journals A Novel Approach for Tuning the Physicochemical, Textural, and Sensory Characteristics of Plant-Based Meat Analogs with Different Levels of Methylcellulose Concentration

Foods ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 560
Author(s):  
Allah Bakhsh ◽  
Se-Jin Lee ◽  
Eun-Yeong Lee ◽  
Nahar Sabikun ◽  
Young-Hwa Hwang ◽  
...  
Keyword(s):  
Profile Analysis ◽  
Control Sample ◽  
Texture Profile ◽  
Crude Fiber Content ◽  
A Value ◽  
Novel Approach ◽  
Meat Analog ◽  
And Control ◽  
Water Holding ◽  
Different Levels

This study assessed the effects of Methylcellulose (MC) at different concentrations on plant-based meat analog (PBMA) patties, comprised of commercial texture vegetable protein (C-TVP) and textured isolate soy protein (T-ISP) as key ingredients, and compared to beef patty control. A significantly higher difference was observed in moisture content in control with increasing MC concentration than the C-TVP and T-ISP patties. However, protein varied significantly among three different protein sources, with control had higher protein content than PBMA patties. Crude fiber content recorded higher values in C-TVP as compared to control. Significantly lower pH values were recorded in control than C-TVP and T-ISP respectively. Regardless, with the addition of MC or ingredient PBMA and control patties tend to reduce lightness (L*) and redness (a*) value after cooking. Although control sample before cooking exhibits lighter and redder than PBMA patties (C-TVP and T-ISP). Likewise, water holding capacity (WHC) decreases as the concentration of MC increases (1.5–4%) in control and PBMA patties. Warner-Bratzler shear force (WBSF) and texture profile analysis (TPA), including hardness, chewiness, and gumminess of control, were significantly higher than C-TVP and T-ISP. Consequently, panelists’ in the sensory analysis presented that C-TVP patties containing 3% of MC had better sensory properties than T-ISP. Hence, PBMA patties with C-TVP and incorporation of 3% MC are considered ideal for manufacturing of meat analog as related to control (beef).

scholarly journals A Novel Approach to EEG Speech Activity Detection with Visual Stimuli and Mobile BCI

2021 ◽  
Vol 11 (2) ◽  
pp. 674
Author(s):  
Marianna Koctúrová ◽  
Jozef Juhár
Keyword(s):  
Visual Stimuli ◽  
Computer Interface ◽  
Single Subject ◽  
Detection Accuracy ◽  
The Novel ◽  
Activity Detection ◽  
Speech Activity ◽  
Novel Approach ◽  
Eeg Data ◽  
Speech Activity Detection

With the ever-progressing development in the field of computational and analytical science the last decade has seen a big improvement in the accuracy of electroencephalography (EEG) technology. Studies try to examine possibilities to use high dimensional EEG data as a source for Brain to Computer Interface. Applications of EEG Brain to computer interface vary from emotion recognition, simple computer/device control, speech recognition up to Intelligent Prosthesis. Our research presented in this paper was focused on the study of the problematic speech activity detection using EEG data. The novel approach used in this research involved the use visual stimuli, such as reading and colour naming, and signals of speech activity detectable by EEG technology. Our proposed solution is based on a shallow Feed-Forward Artificial Neural Network with only 100 hidden neurons. Standard features such as signal energy, standard deviation, RMS, skewness, kurtosis were calculated from the original signal from 16 EEG electrodes. The novel approach in the field of Brain to computer interface applications was utilised to calculated additional set of features from the minimum phase signal. Our experimental results demonstrated F1 score of 86.80% and 83.69% speech detection accuracy based on the analysis of EEG signal from single subject and cross-subject models respectively. The importance of these results lies in the novel utilisation of the mobile device to record the nerve signals which can serve as the stepping stone for the transfer of Brain to computer interface technology from technology from a controlled environment to the real-life conditions.

ChemInform Abstract: The Novel Approach to Indole Alkaloids by Using Pd(II)-Catalyzed Cyclization.

ChemInform ◽  
2015 ◽  
Vol 46 (17) ◽  
pp. no-no
Author(s):  
Hajime Yokoyama ◽  
Takayoshi Kubo ◽  
Yosuke Matsumura ◽  
Junichi Hosokawa ◽  
Masahiro Miyazawa ◽  
...  
Keyword(s):  
Indole Alkaloids ◽  
The Novel ◽  
Novel Approach
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