Dance Motion Capture Based on Data Fusion Algorithm and Wearable Sensor Network

In this paper, through an in-depth study and analysis of dance motion capture algorithms in wearable sensor networks, the extended Kalman filter algorithm and the quaternion method are selected after analysing a variety of commonly used data fusion algorithms and pose solving algorithms. In this paper, a sensor-body coordinate system calibration algorithm based on hand-eye calibration is proposed, which only requires three calibration poses to complete the calibration of the whole-body sensor-body coordinate system. In this paper, joint parameter estimation algorithm based on human joint constraints and limb length estimation algorithm based on closed joint chains are proposed, respectively. The algorithm is an iterative optimization algorithm that divides each iteration into an expectation step and a great likelihood step, and the best convergence value can be found efficiently according to each iteration step. The feature values of each pose action are fed into the algorithm for model learning, which enables the training of the model. The trained model is then tested by combining the collected gesture data with the algorithmic model to recognize and classify the gesture data, observe its recognition accuracy, and continuously optimize the model to achieve accurate recognition of human gesture actions.

Personal Loan Sales Forecasting Through Time Series Analysis

Almost all state enterprises and private sector companies try to foresee future expectations. From the viewpoint of economic, productive, and efficient business management, this is highly important. By making rational decisions, all enterprises aim to rich maximum profitability by taking sales, cost, human resource needs, profits into account. For this reason, enterprises have to make reliable and reasonable forecasts to take the right decisions. Such forecasts might be used in budgeting, cost, and profit analysis. Forecasted scenarios might come true in the future with a great likelihood. The researcher utilizing time series analysis assumes that all findings that come out will be almost the same happened in the past. Analyzing the time series consist of four aims such as defining, modeling forecasting, and controlling. To define a series, it is needed to compute definitional statistics and to draw its graphic. The second purpose of analyzing the time series is to find the appropriate model of the time series. With that work called “Time series and application to sale data”, it is tried to make a suitable guess model by analyzing the data of personal loans of a bank 2004-2010 sale data based on unit. During the stagnation stage of the sequence correlogram and root, analyses are performed. The sequence is analyzed with the help of the Eviews 5,1 program. At the end of the survey, it is seen that natural logarithmic personal loan sale sequences are at their level and in the first gap it is not constant and it is also seen that when the second gap is taken, the constant is obtained. The sequence of which the second gap is taken is shown based on time-way graphs and correlogram. When the constant is provided, the guessed model is formed by taking the second gap. The suitability of the model is observed by the correlogram, Akaike information criteria (AIC), and Schwarz information criteria (SIC) merits.

The impacts of customer satisfaction on loyalty of the youth (18-25 years old) towards e-commerce trading floors in Ho Chi Minh City

The booming of E-commerce trading sites, especially after COVID-19, has aggressively put pressure on the competition in this industry. Hence, building young customers’ loyalty plays a vital role in doing business. One of the best solutions to this problem is to boost customer satisfaction. As customers are satisfied with the products or services provided, they tend to purchase more frequently and eventually become more loyal. Regarding location, HCM City is currently the most potential market for E-commerce development. Therefore, the aim of this paper is to weigh the relative impacts of customer satisfaction factors on the youth’s loyalty (18-25 years old) to E-commerce trading sites in HCM City, address the existing issues, and propose the corresponding solutions. The study used Multiple Linear Regression Analysis with SPSS 20.0 to build, examine, and test the research model through 215 samples indicates that there are five factors, which affect the youth’s loyalty. They are the satisfaction of website design, the satisfaction of the product portfolio, the satisfaction of privacy & security, the satisfaction of delivery, and the satisfaction of the post-sales service. The results reveal that the satisfaction of privacy & security is the most influential factor in the youth’s loyalty, followed by the satisfaction of the post-sales service and the satisfaction of website design. In addition, there are no differences in young customers’ loyalty regardless of genders, occupations, frequencies of visiting E-commerce sites, monthly income levels, and average spending per order. Accordingly, these findings can be good guidance for E-commerce trading sites to formulate suitable development strategies to build the loyalty of customers at the early stage (18-25 years old) and effectively compete in the market. On the other hand, the paper has certain limitations, namely the short duration of collecting primary data (one month) and thus the relatively small sample size compared to the whole population of the youth. Moreover, as the method of data collection is survey-based, the study must be remade for different regions and nations. Also, this paper only covers E-commerce trading sites within the retailing industry. Hence, future research can greatly improve the model by extending the time period of data collection and covering more industries. Besides, a more modern approach such as SEM is a decent option for measurement scales evaluation and model testing, since Multiple Linear Regression Analysis requires strict assumptions and may have a great likelihood of measurement errors.

Potential of the computer game «Plines» as a tool for differentiating the cognitive abilities of schoolchildren

The article presents the results of an empirical study of the interrelation between dynamic and total individual performance indicators of gaming behavior in the "PLines" game with test measurements of general intelligence and divergent creativity (N = 151). It is demonstrated that the dynamics of point accumulation in the game can be used, with a great likelihood, for relating subjects to determined groups with a certain level of ability (high intelligence and creativity vs low intelligence and creativity). The data that it is the high-test indicators of cognitive abilities that determine the effectiveness of the gaming behavior of the subjects, and not vice versa is another fundamental result of the study. The subjects of discussion are the prospects for further use of this computer game in the diagnosis of ability sets in real life, the need to expand the pool of investigated psychological indicators that contribute to decision making in a situation of uncertainty, and the benefits of referring to the procedural characteristics of solving problems in psychological diagnostics.

Nutrition and Lower Extremity Ulcers: Causality and/or Treatment

The association between malnutrition, impaired wound healing, and the presence of chronic wounds has been recognized for a long time. It is widely believed that the lack of adequate nutrition increases the risk of developing wounds which have a great likelihood of progressing to chronicity due to lack of appropriate healing responses. This risk is particularly high in the aging population. For the individual patient, as well as patient populations, the diagnosis of malnutrition has been in dispute; further, there is lack of agreement of when and how to intervene nutritionally in those with wounds or healing deficits. This article examines the relationship of nutritional status with the presence and clinical evolution of leg ulcers in humans, focusing on diabetic and venous leg ulcers; we will further review the effect of nutritional therapy on the outcome of these ulcers.

Aspectual distinctions in Dutch-Ambon Malay bilingual heritage speakers

Aims and Objectives/Purpose/Research Questions: This paper investigates the effects of Dutch on the tense-aspect system of heritage Ambon Malay, a variety spoken by Dutch-Ambon Malay bilinguals in the Netherlands. The study asks whether the cross-linguistic contrasts between the two languages – Dutch obligatorily marks past/non-past and finiteness, whereas Ambon Malay lacks a grammaticalized expression of these distinctions – has an effect on the aspectual system of heritage Ambon Malay. Design/Methodology/Approach: The database for the study consists of video descriptions provided by 32 bilingual speakers (the experimental groups) and by three control groups: 27 homeland speakers of Ambon Malay, 5 first generation speakers of Ambon Malay in the Netherlands (late bilinguals), and 10 monolingual speakers of Dutch. Data and Analysis: The frequency and distribution of aspect markers is analysed statistically in the four groups. Findings/Conclusions: The analysis of the data reveals that, under the influence of Dutch, the Ambon Malay progressive marker ada has undergone a shift in temporal status and frequency and it is now interpreted as a marker of present tense, as well as of progressive aspect. The other two aspect markers, the iamitive/perfective su and verbal reduplication (iterative) are used significantly less by heritage speakers. Originality: This study shows that when a grammatical category is present and productive in the dominant language of a bilingual heritage speaker, but not in the heritage language, there is a great likelihood that it will undergo contact-induced grammaticalization, even in a relatively short time contact situation. The study also shows that input-related factors, such as transparency and phonological salience, contribute to the (in)stability of aspectual forms in the heritage language. Significance/Implications: This finding has implication for the incomplete acquisition perspective on heritage languages, which sees these languages as grammatically simplified systems (see, e.g., Montrul, 2009; Polinsky, 2008), because it shows that heritage languages can also gain grammatical distinctions previously absent in the (homeland) language.

Beginnings of Indian Astronomy with Reference to a Parallel Development in China

Hypotheses of a Mesopotamian origin for the Vedic and Chinese star calendars are unfounded. The Yangshao culture burials discovered at Puyang in 1987 suggest that the beginnings of Chinese astronomy go back to the late fourth millennium BCE. The instructive similarities between the Chinese and Indian luni-solar calendrical astronomy and cosmology therefore with great likelihood result from convergent parallel development and not from diffusion.

Research on the Parameter Estimating Algorithms of Image Edge Detection

During detecting the edge of the images, the text partly use great likelihood estimation and least square method estimation algorithm to estimate, we found the result of two estimate algorithms used in the same model are different through experimental analysis. Aiming at above mentioned problems, this text divides the commonly used model in pattern process into the linear model and non-linear model, among the non-linear model, it divides into multinomial model, gauss model, shouldered index model and power counting model, and this text use great likelihood estimate algorithm and least square method estimation algorithm to estimate these models separately, and draw their scope of the application through the experiment, also provide the convenience for the future choice.

Simulations at Czech poultry market

This paper defines the possible scenarios of the development of the poultry market in the Czech Republic, in view of the trends in production, consumption and foreign trade. The individual scenarios are based upon the forecasts of selected factors that have a substantial impact on the poultry market and whose changes can be expected in the subsequent years with great likelihood. The article sets out and addresses various scenarios for the period of 2012–2014. The scenarios are based upon the partial equilibrium model of the poultry market, which has been derived on the basis of time series and panel data within the years 1995–2009. The conducted analysis clearly shows that changes in the prices of agricultural producers will have an effect on changes in the production of poultry meat, an increase in VAT through consumer prices will impact the rate of domestic consumption, as well as changes in disposable income. Similarly, a change in the exchange rate will have an effect on the amount of poultry imported into the Czech Republic.

Bayesian Change-Point Analysis of Tropical Cyclone Activity: The Central North Pacific Case*

Bayesian analysis is applied to detect change points in the time series of annual tropical cyclone counts over the central North Pacific. Specifically, a hierarchical Bayesian approach involving three layers—data, parameter, and hypothesis—is formulated to demonstrate the posterior probability of the shifts throughout the time from 1966 to 2002. For the data layer, a Poisson process with gamma distributed intensity is presumed. For the hypothesis layer, a “no change in the intensity” hypothesis and a “single change in the intensity” hypothesis are considered. Results indicate that there is a great likelihood of a change point on tropical cyclone rates around 1982, which is consistent with earlier work based on a simple log-linear regression model. A Bayesian approach also provides a means for predicting decadal tropical cyclone variations. A higher number of tropical cyclones is predicted in the next decade when the possibility of the change point in the early 1980s is taken into account.