scholarly journals Quantitative Characteristics of Human-Written Short Stories as a Metric for Automated Storytelling

2020 ◽  
Vol 38 (4) ◽  
pp. 635-671
Author(s):  
Carlos León ◽  
Pablo Gervás ◽  
Pablo Delatorre ◽  
Alan Tapscott
Keyword(s):  
Short Stories ◽  
Input Data ◽  
Human Subjects ◽  
Human Behaviour ◽  
Quantitative Characteristics ◽  
Empirical Experiment ◽  
Computational Systems ◽  
Story Analysis

AbstractEvaluating the extent to which computer-produced stories are structured like human-invented narratives can be an important component of the quality of a story plot. In this paper, we report on an empirical experiment in which human subjects have invented short plots in a constrained scenario. The stories were annotated according to features commonly found in existing automatic story generators. The annotation was designed to measure the proportion and relations of story components that should be used in automatic computational systems for matching human behaviour. Results suggest that there are relatively common patterns that can be used as input data for identifying similarity to human-invented stories in automatic storytelling systems. The found patterns are in line with narratological models, and the results provide numerical quantification and layout of story components. The proposed method of story analysis is tested over two additional sources, the ROCStories corpus and stories generated by automated storytellers, to illustrate the valuable insights that may be derived from them.

Quantitative and Qualitative Characteristics of Urban Discharge to Small River Basins in the South West of Sweden

1983 ◽  
Vol 14 (3) ◽  
pp. 155-166 ◽  
Author(s):  
Wm. Hogland ◽  
R. Berndtsson
Keyword(s):  
River Basins ◽  
Small River ◽  
The South ◽  
Time Intervals ◽  
Qualitative And Quantitative ◽  
South West ◽  
Quantitative Characteristics ◽  
Qualitative Characteristics ◽  
Qualitative And Quantitative Characteristics

The paper deals with the qualitative and quantitative characteristics of urban discharge. Ratios for urban discharge and recipient flow during different time intervals are presented and discussed. The quality of the urban discharge is illustrated through pollutographs.

Accuracy analysis in borders description for municipal entities in the Republic Bashkortostan

2017 ◽  
Vol 924 (6) ◽  
pp. 2-5
Author(s):  
V.N. Puchkov ◽  
R.S. Musalimov ◽  
D.S. Zavarnov
Keyword(s):  
Russian Federation ◽  
Input Data ◽  
Accuracy Analysis ◽  
Rural Settlements ◽  
Regulatory Requirements ◽  
Republic Of Bashkortostan ◽  
Weak Points ◽  
The Republic

In this work the analysis on description of rural settlements boundaries of the Republic of Bashkortostan, based on the experience of other sub-federal units of Russian Federation was made. A range of weak points in collected input data was defined. In total, of 54 municipal districts of the Republic of Bashkortostan (818 rural settlements), 44 districts showed nonconformity of feed data details to regulatory requirements. And the main reason for this is a low quality of input materials such as base maps at scale 1

Finding Approximate Shape Regularities for Reverse Engineering

2001 ◽  
Vol 1 (4) ◽  
pp. 282-290 ◽  
Author(s):  
F. C. Langbein ◽  
B. I. Mills ◽  
A. D. Marshall ◽  
R. R. Martin
Keyword(s):  
Reverse Engineering ◽  
Small Groups ◽  
Input Data ◽  
Boundary Representation ◽  
Range Data ◽  
Engineering Systems ◽  
Post Processing ◽  
Processing Step ◽  
3D Range Data

Current reverse engineering systems can generate boundary representation (B-rep) models from 3D range data. Such models suffer from inaccuracies caused by noise in the input data and algorithms. The quality of reverse engineered geometric models can be improved by finding candidate shape regularities in such a model, and constraining the model to meet a suitable subset of them, in a post-processing step called beautification. This paper discusses algorithms to detect such approximate regularities in terms of similarities between feature objects describing properties of faces, edges and vertices, and small groups of these elements in a B-rep model with only planar, spherical, cylindrical, conical and toroidal faces. For each group of similar feature objects they also seek special feature objects which may represent the group, e.g. an integer value which approximates the radius of similar cylinders. Experiments show that the regularities found by the algorithms include the desired regularities as well as spurious regularities, which can be limited by an appropriate choice of tolerances.

Public health as a basic condition for the socio-economic development of the region

2021 ◽  
pp. 18-24
Author(s):  
А.Н. Гайфуллин
Keyword(s):  
Economic Development ◽  
Standard Of Living ◽  
The Public ◽  
Qualitative And Quantitative ◽  
Socio Economic Development ◽  
Quantitative Characteristics ◽  
The Subject ◽  
Health Situation ◽  
Qualitative And Quantitative Characteristics

Социально-экономическое развитие есть планомерная процедура совершенствования уровня жизни, качественных и количественных характеристик, потребляемых общественностью благ. Исходя из ситуации со здоровьем населения в регионе, выставляются соответствующие ориентиры. В разрезе региональной специфики закладываются и реализуются целевые программы, которые одновременно зависят от здоровья населения и направлены, собственно, на улучшение качества его здоровья. Согласно тематике настоящей статьи, ведущий фактор социально-экономического роста - здоровье населения, именно он будет оценен как катализатор искомого регионального развития. Socio-economic development is a systematic procedure for improving the standard of living, qualitative and quantitative characteristics of the goods consumed by the public. Based on the health situation of the population in the region, appropriate guidelines are set. In the context of regional specifics, targeted programs are being laid and implemented, which at the same time depend on the health of the population and are aimed, in fact, at improving the quality of its health. According to the subject of this article, the leading factor of socio-economic growth is the health of the population, it will be evaluated as a catalyst for the desired regional development.

Analysis and Evaluation of a Framework for Sampling Database in Recommenders

2018 ◽  
Vol 26 (1) ◽  
pp. 41-57 ◽  
Author(s):  
Hodjat Hamidi ◽  
Reza Mousavi
Keyword(s):  
Association Rules ◽  
Relational Database ◽  
Input Data ◽  
Sampling Method ◽  
Data Integrity ◽  
Sampling Techniques ◽  
System Efficiency ◽  
Production Environment ◽  
Analysis And Evaluation

In this paper the authors proposed a database sampling framework that aims to minimize the time necessary to produce a sample database. They argue that the performance of current relational database sampling techniques that maintain the data integrity of the sample database is low and a faster strategy needs to be devised. The sampling method targets the production environment of a system under development that generally consists of large amounts of data computationally costly to analyze. The results have been improved due to the fact that the authors have selected the users that they had more information about them and they have made the data table denser. Therefore, by increasing the data and making the rating more comprehensive for all the users they can help to produce the more and better association rules. The obtained results were not that much suitable for Jester dataset but with their proposed methods the authors have tried to improve the quantity and quality of the rules. These results indicate that the effectiveness of the system greatly depends on the input data and the applied dataset. In addition, if the user rates more number of the items the system efficiency will be more increased.

scholarly journals Estimating Efforts and Success of Symmetry-Seeing Machines by Use of Synthetic Data

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 227
Author(s):  
Eckart Michaelsen ◽  
Stéphane Vujasinovic
Keyword(s):  
Extraction Method ◽  
Input Data ◽  
State Of The Art ◽  
Recognition Performance ◽  
Human Subjects ◽  
Synthetic Data ◽  
Ground Truth ◽  
Comparative Test ◽  
Real Imagery ◽  
Dominant Part

Representative input data are a necessary requirement for the assessment of machine-vision systems. For symmetry-seeing machines in particular, such imagery should provide symmetries as well as asymmetric clutter. Moreover, there must be reliable ground truth with the data. It should be possible to estimate the recognition performance and the computational efforts by providing different grades of difficulty and complexity. Recent competitions used real imagery labeled by human subjects with appropriate ground truth. The paper at hand proposes to use synthetic data instead. Such data contain symmetry, clutter, and nothing else. This is preferable because interference with other perceptive capabilities, such as object recognition, or prior knowledge, can be avoided. The data are given sparsely, i.e., as sets of primitive objects. However, images can be generated from them, so that the same data can also be fed into machines requiring dense input, such as multilayered perceptrons. Sparse representations are preferred, because the author’s own system requires such data, and in this way, any influence of the primitive extraction method is excluded. The presented format allows hierarchies of symmetries. This is important because hierarchy constitutes a natural and dominant part in symmetry-seeing. The paper reports some experiments using the author’s Gestalt algebra system as symmetry-seeing machine. Additionally included is a comparative test run with the state-of-the-art symmetry-seeing deep learning convolutional perceptron of the PSU. The computational efforts and recognition performance are assessed.

scholarly journals Application of Multidimensional Statistical Analysis in Tribotechnical Diagnostics of Hydraulic Fluids in Woodworking Equipment

Materials ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4628
Author(s):  
Michaela Hnilicová ◽  
Ján Turis ◽  
Richard Hnilica
Keyword(s):  
Data Matrix ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Machine Maintenance ◽  
Hydraulic Fluids ◽  
Quantitative Characteristics ◽  
Friction Surfaces ◽  
Qualitative And Quantitative Characteristics

The article dealt with the assessment of the quality of hydraulic oil and determination of the mode of wear of the friction surfaces of Baljer & Zembrod manipulating lines through the information traces in the oils by applying tribotechnical diagnostics. We presented the assessment of the level of degradation of the oils. In addition, we presented the mode of wear of the friction surfaces washed in oil through evaluation of the qualitative and quantitative characteristics of the particles found in the oil. In detail, we focused on the application of suitable multivariate statistical methods on the data matrix. The article also presents predictive models that can sort oils into groups based on the assessment of quality of the oil and the state of the friction couples. The models can be used in research and in solving practical tasks in tribotechnical diagnostics of hydraulic fluids in woodworking equipment. Our results showed that the manipulation lines were greatly thermically stressed due to inadequate oil and machine maintenance. By correlative integration of all methods used, we could determine the real mode of the wear of the tribologic nodes of the machine. The experiment enabled the early detection of an undesirable process in the tribological node and implementation of corrective measures before the machine would break down.

scholarly journals Application Of Conference Writing Methods Can Improve Short Story Writing Skills

2018 ◽  
Vol 2 (2) ◽  
pp. 87-96
Author(s):  
Kasmidawati Kasmidawati
Keyword(s):  
Short Stories ◽  
Action Research ◽  
Short Story ◽  
Action Observation ◽  
Lessons Learned ◽  
Average Value ◽  
Story Writing ◽  
Classroom Action Research ◽  
Future Learning

To learn something well, we need to hear, see, ask questions about it, and discuss it with others. Not only that, teachers need to "do it", that is to describe something in their own way, to show their example, to try to practice their skills and to do tasks that demand the knowledge they have gained. Problems to be studied in this research are: a. How to improve learning result of Indonesian language especially about writing short story? b. Steps taken in improving learning outcomes Indonesian language ?.  The approach of this research uses a qualitative approach with classroom action research design, which is carried out cyclically. Cycle I with planning, action, observation, and reflection. Likewise the next cycles. In PTK as well as teachers can examine their own activities on their own done in its own class. By involving their students through planned, implemented and evaluated actions, TOD can be performed without interrupting other learning and will not burden the work of the teacher in performing daily tasks. PTK can be done in an integrated manner with daily activities. Precisely with PTK teachers can improve the quality of learning processes and products. The study considers the results or impact of classroom action research from various criteria based on reflections for revision. Reflection is a re-application of the lessons learned. The reflections are evaluations that have been made and suggestions for future learning.    Based on the description of researchers draw conclusions as follows: The ability of students to write short stories in class IV before using the method of writing (writing together) is categorized enough with the average value: 6.90 (unfinished). There is an increase in the ability to write short stories with the method of writing writing (writing together) grade IV students are categorized both with an average value of 7.69 (complete). This capability increases in cycle II and cycle III reaches an average value of 8.46 (complete). Matched material for writing short story experiences for students SDN 07 Pasar Salido is a material that suits the conditions, desires, experiences, and the ability to write short stories.      

scholarly journals Longevity and reliability of chronic unit recordings using the Utah, intracortical multi-electrode arrays

2021 ◽  
Author(s):  
Caleb Scheffer Sponheim ◽  
Vasileios Papadourakis ◽  
Jennifer Collinger ◽  
John Downey ◽  
Jeffrey M Weiss ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
Rhesus Macaques ◽  
Human Subjects ◽  
Electrode Arrays ◽  
Computer Interfaces ◽  
Somatosensory Cortices ◽  
Large Numbers ◽  
Electrode Length ◽  
Human Participants

Abstract Objective. Microelectrode arrays are standard tools for conducting chronic electrophysiological experiments, allowing researchers to simultaneously record from large numbers of neurons. Specifically, Utah electrode arrays (UEAs) have been utilized by scientists in many species, including rodents, rhesus macaques, marmosets, and human participants. The field of clinical human brain-computer interfaces currently relies on the UEA as a number of research groups have FDA clearance for this device through the investigational device exemption pathway. Despite its widespread usage in systems neuroscience, few studies have comprehensively evaluated the reliability and signal quality of the Utah array over long periods of time in a large dataset. Approach. We collected and analyzed over 6000 recorded datasets from various cortical areas spanning almost 9 years of experiments, totaling 17 rhesus macaques (Macaca Mulatta) and 2 human subjects, and 55 separate microelectrode Utah arrays. The scale of this dataset allowed us to evaluate the average life of these arrays, based primarily on the signal-to-noise ratio of each electrode over time. Main Results. Using implants in primary motor, premotor, prefrontal, and somatosensory cortices, we found that the average lifespan of available recordings from UEAs was 622 days, although we provide several examples of these UEAs lasting over 1000 days and one up to 9 years; human implants were also shown to last longer than non-human primate implants. We also found that electrode length did not affect longevity and quality, but iridium oxide metallization on the electrode tip exhibited superior yield as compared to platinum metallization.

scholarly journals A STUDY ON THE QUALITY OF VARIOUS TYPES OF CHEESE PRODUCED AND CONSUMED IN GREECE

1974 ◽  
Vol 25 (1) ◽  
pp. 25
Author(s):  
Κ. ΣΚΟΥΝΤΖΟΣ ◽  
Ι. ΑΣΙΚΗΣ
Keyword(s):  
Sodium Chloride ◽  
Protein Content ◽  
Fat Content ◽  
Market Area ◽  
Laboratory Examination ◽  
Quantitative Classification ◽  
Quantitative Characteristics

Laboratory examination of 828 samples of four typss of Greek cheese («telemes» : 415, «kasseri» : 164, «kefalotyrion» : 170, «gruyère» : 79) obtained from the Attikan market area, revealed, that : a. There is great variation relative to the water as well as the fat contents of the various types of cheese, resulting in the lack of standardized organoleptic and quantitative characteristics in the types of cheeses sold. b. The «kefalotyrion» cheese in particular contains significantly high quantities of sodium chloride. The authors suggest that ins criterion of fat content established so far for the quantitative classification of Greek cheese types be replaced by the criterion of protein content.

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