scholarly journals Research on the Application of Intelligent Choreography for Musical Theater Based on Mixture Density Network Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jun Cang ◽  
Yichen Huang ◽  
Yanhong Huang

Musical choreography is usually completed by professional choreographers, which is very professional and time-consuming. In order to realize the intelligent choreography of musical, based on the mixed density network (MDN), this paper generates the dance matching with the target music through three steps: motion generation, motion screening, and feature matching. The choreography results in this paper have a high degree of matching with music, which makes it possible for the development of motion capture technology and artificial intelligence and computer automatic choreography based on music. In the process of motion generation, the average value of Gaussian model output by MDN is used as the bone position and the consistency of motion is measured according to the change rate of joint velocity in adjacent frames in the process of motion selection. Compared with the existing studies, the dance generated in this paper has improved in motion coherence and realism. In this paper, a multilevel music and action feature matching algorithm combining global feature matching and local feature matching is proposed. The algorithm improves the unity and coherence of music and action. The algorithm proposed in this paper improves the consistency and novelty of movement, the compatibility with music, and the controllability of dance characteristics. Therefore, the algorithm in this paper technically changes the way of artistic creation and provides the possibility for the development of motion capture technology and artificial intelligence.

2018 ◽  
Vol 28 (5) ◽  
pp. 1527-1532
Author(s):  
Hristo Patev

In this first work, out of the total of twenty-four, are considered: Integrative approach, interdisciplinary relations and transnational language in the technical and economic fundament of engineering and management, for the purpose of competitive innovation and successful business. Approaches to develop the innovation with a high degree of complexity. Interactive heuristic methods and algorithms for inventive activity, for inspiring and developing new industrial products and services for households and production systems. Implementing an effective business vocabulary for organizational renewal. Introduction of gaming and "art" methods in innovation management. Intensifying innovation activities through an attempt to introduce artificial intelligence into teamwork, with simultaneous implementation of an engineering and non-engineering approach.


Author(s):  
Audri Phillips

This chapter examines the relationships between technology, the human mind, and creativity. The chapter cannot possibly cover the whole spectrum of the aforementioned; nonetheless, it covers highlights that especially apply to new immersive technologies. The nature of creativity, creativity studies, the tools, languages, and technology used to promote creativity are discussed. The part that the mind and the senses—particularly vision—play in immersive media technology, as well as robotics, artificial intelligence (AI), computer vision, and motion capture are also discussed. The immersive transmedia project Robot Prayers is offered as a case study of the application of creativity and technology working hand in hand.


2019 ◽  
Vol 6 (1) ◽  
pp. 205395171881956 ◽  
Author(s):  
Anja Bechmann ◽  
Geoffrey C Bowker

Artificial Intelligence (AI) in the form of different machine learning models is applied to Big Data as a way to turn data into valuable knowledge. The rhetoric is that ensuing predictions work well—with a high degree of autonomy and automation. We argue that we need to analyze the process of applying machine learning in depth and highlight at what point human knowledge production takes place in seemingly autonomous work. This article reintroduces classification theory as an important framework for understanding such seemingly invisible knowledge production in the machine learning development and design processes. We suggest a framework for studying such classification closely tied to different steps in the work process and exemplify the framework on two experiments with machine learning applied to Facebook data from one of our labs. By doing so we demonstrate ways in which classification and potential discrimination take place in even seemingly unsupervised and autonomous models. Moving away from concepts of non-supervision and autonomy enable us to understand the underlying classificatory dispositifs in the work process and that this form of analysis constitutes a first step towards governance of artificial intelligence.


Author(s):  
Tetiana Shmelova ◽  
Arnold Sterenharz ◽  
Serge Dolgikh

This chapter presents opportunities to use Artificial Intelligence (AI) in aviation and aerospace industries. The AI used an innovative technology for improving the effectiveness of building aviation systems in each stage of the lifecycle for enhancing the security of aviation systems and the characteristic ability to learn, improve, and predict difficult situations. The AI is presented in Air Navigation Sociotechnical system (ANSTS) because the activity of ANSTS, is accompanied by a high degree of risk of causing catastrophic outcomes. The operator's models of decision making in AI systems are presented such as Expert Systems, Decision Support Systems for pilots of manned and unmanned aircraft, air traffic controllers, engineers, etc. The quality of operator's decisions depends on the development and use of innovative technology of AI and related fields (Big Data, Data Mining, Multicriteria Decision Analysis, Collaboration Decision Making, Blockchain, Artificial Neural Network, etc.).


2020 ◽  
Vol 6 (3) ◽  
pp. 205630512093926 ◽  
Author(s):  
Dennis Assenmacher ◽  
Lena Clever ◽  
Lena Frischlich ◽  
Thorsten Quandt ◽  
Heike Trautmann ◽  
...  

Recently, social bots, (semi-) automatized accounts in social media, gained global attention in the context of public opinion manipulation. Dystopian scenarios like the malicious amplification of topics, the spreading of disinformation, and the manipulation of elections through “opinion machines” created headlines around the globe. As a consequence, much research effort has been put into the classification and detection of social bots. Yet, it is still unclear how easy an average online media user can purchase social bots, which platforms they target, where they originate from, and how sophisticated these bots are. This work provides a much needed new perspective on these questions. By providing insights into the markets of social bots in the clearnet and darknet as well as an exhaustive analysis of freely available software tools for automation during the last decade, we shed light on the availability and capabilities of automated profiles in social media platforms. Our results confirm the increasing importance of social bot technology but also uncover an as yet unknown discrepancy of theoretical and practically achieved artificial intelligence in social bots: while literature reports on a high degree of intelligence for chat bots and assumes the same for social bots, the observed degree of intelligence in social bot implementations is limited. In fact, the overwhelming majority of available services and software are of supportive nature and merely provide modules of automation instead of fully fledged “intelligent” social bots.


1985 ◽  
Vol 22 (12) ◽  
pp. 1767-1773 ◽  
Author(s):  
Antoni G. Lewkowicz

An instrument (ablatometer) was developed to measure rates of ablation of exposed ground ice. When the ablatometer is mounted on a melting ice face and linked to a portable micrologger, a continuous record of short-term ablation is obtained.The ablatometer was tested on the headwall of an active ground-ice slump located in southwest Banks Island, Northwest Territories. In general, it performed satisfactorily with little or no instrument-induced melt of the ice. Data for sunny days showed a strong diurnal rhythm of ground-ice ablation and considerable microscale spatial variability. Rates of ablation and their spatial variation were lower on cloudy days, illustrating the importance of solar insolation in inducing melt. Measurements beneath a debris cover following active-layer collapse suggest that ablation soon ceases and does not recommence until after the debris is removed by mud flow.As a result of the high degree of spatial variability in energy inputs and consequently in ablation rates, results from a single ablatometer may not be representative. If two or more instruments are mounted concurrently on exposed ice, an average value of the energy used in ablation can be determined. This value can then be compared with measurements of energy fluxes such as net radiation.


2020 ◽  
pp. 30-34
Author(s):  
М.Д. Кадышева ◽  
С.Д. Тюлебаев ◽  
С.С. Польских

Впервые представлены селекционно-генетические показатели брединского мясного типа симменталов, основанные на анализе оценки используемых быков-производителей по качеству потомства, а их сыновей – по собственной продуктивности. В качестве показателей служили, прежде всего, расчёты и данные изменчивости: средние значения признаков, лимиты, ошибки средней величины, среднеквадратическое отклонение, коэффициенты вариации. В качестве признаков продуктивности использовались значения живой массы в разном возрасте, среднесуточного прироста живой массы по периодам роста, рассчитанные показатели комплексного индекса. Приведены данные по величине повторяемости живой массы, коэффициента корреляции между признаками продуктивности. Данные представлены как в общем для стада виде, так и в разрезе потомства каждого из быков-производителей. Отмечаются особенности проявления изучаемых показателей. Так, для мясных симменталов брединского типа характерна высокая степень консолидации признаков, в то же время отмечаются значения изменчивости, предполагающие возможность эффективной племенной работы. Высокая повторяемость живой массы в 8 и 15 месяцев была характерна для потомства всех оцениваемых быков-производителей, при этом её величина находилась в пределах от 0,79 у потомков Пиона 04817 до 0,94 у сыновей Вордвлайда 14. Выявлено, что комплексный индекс быка-производителя мясных симменталов, в первую очередь, зависит от живой массы в 15 месяцев (0,88–0,95) и интенсивности роста за период 8–15 месяцев (0,88–0,96). Отмечена большая сила влияния отцов на показатели продуктивности, чем матерей, что подтверждается расчётами однофакторного дисперсионного комплекса по показателям живой массы в 8 и 15 месяцев и среднесуточного прироста за период 8–15 месяцев. For the first time, selection and genetic indicators of the Bredy meat type of Simmentals are presented, based on an analysis of the assessment of the used servicing bulls by the quality of offspring and their sons – by their own productivity. The indicators were, first of all, calculations and variability data: average values of features, limits, errors of the average value, standard deviation, coefficients of variation. As signs of productivity, the values of live weight at different ages, the average daily increase in body weight gain by growth periods, calculated indicators of the complex index were used. Data on the value of repeatability of live weight, coefficient of correlation between characteristics of productivity are given. The data are presented both in the general form for the herd and in the context of the offspring of each of the servicing bulls. The characteristics of the indicators studied are noted. Thus, Bredy type meat Simmentals are characterized by a high degree of consolidation of features, while variability values are noted, suggesting the possibility of effective breeding. The high repeatability of living weight at 8 and 15 months was characteristic of the offspring of all estimated servicing bulls, while its value ranged from 0.79 in the offspring of Pion 04817 to 0.94 in the sons of Wordvlyde 14. It was revealed that the complex index of the servicing bull of meat Simmentals, first of all, depends on the living weight at 15 months (0.88–0.95) and the growth intensity for the period 8–15 months (0.88–0.96). A greater strength of the influence of fathers on productivity indicators than mothers was noted, which is confirmed by calculations of the one-factor dispersion complex according to live weight indicators at 8 and 15 months and the average daily live weight gain for the period 8–15 months.


Author(s):  
Narendra Singh Rajpoot ◽  
M. K. Tripathi ◽  
Sushma Tiwari ◽  
R. S. Tomar ◽  
V. S. Kandalkar

The genus Brassica is one of the most important oil seed crops in India with high degree of genetic diversity. In present study, genetic diversity was studied in forty germplasm lines and eight cultivars of Indian mustard using morphological traits and SSR markers. Morphological characters were taken for days to 50% flowering, days to maturity, plant height (cm), length of main raceme (cm), number of primary branches/plant, number of secondary branches/plant, number of silique per plant, number of seeds per silique, 1000 seed weight (g) and seed yield per plant (g). Total 50 SSR markers were used for characterization of these lines, out of which 7 SSR markers were highly polymorphic between all the germplasms of mustard. An UPGMA phonogram was constructed for all 48 Germplasms and the similarity coefficient ranged from 0.00 to 0.91. Number of alleles ranged from 3 to 4, genetic diversity ranged from 71% to 65% with average value of 67%, heterozygosity raged from 20 to 10% with average of 12% and PIC value for markers ranged from 0.65 to 0.59 with mean PIC value 0.61. All seven SSR primers showed PIC value above 0.5 (50%) indicating high genetic diversity in the studied plant material.


2021 ◽  
Author(s):  
Hassan Alshemmari

Abstract A comprehensive study from the surface soil samples of 14 locations from Amghara, Kuwait were assessed for the investigation organochlorine pesticides (OCPs). Due the high degree of contamination in the environment and the health consequences of OCPs, the assessment of these compounds had a significant concern. There is limited informations regarding the distribution pattern of OCPs in the soil samples of Kuwait. The study comprises 12 OCPs including their isomers. Pesticide residue analysis was done with a gas chromatograph for organochlorine pesticides (OCPs) coupled to a triple quadruple mass spectrometer in electron ionization mode. The total concentration of OCPs were in the range of 209.39 pg/g -7449.18 pg/g with an average value of 1313.04 pg/g. DDT had higher concentrations in soil samples (969.52 pg/g) than the other pesticides, according to the findings. The distribution pattern of OCPs in the Amghara soils revealed their origin as both historical and recent application of pesticides. The impact of soil pH on the distribution of DDTs in Amghara soil samples were also investigated. The study further looked at how residual quantities could be used to determine health risks of both children and adults. Children and adults in all the locations were subject to negligible cancer risk, according to the health risk evaluation. OCP's cancer dangers from ingestion, dermal exposure, and inhalation of soil particles indicated that all stations were in the safe zone.


Sign in / Sign up

Export Citation Format

Share Document