scholarly journals Evaluation Algorithm for Team Strength Based on the Collected Healthcare Data through IoT and Smart Devices

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Jian Qiao

In the past, the fans used to evaluate the strength of the team according to the victory and defeat ranking or according to their own intuition and preferences, however, the strength of the team is difficult to measure in analytical figures. The team’s winning rate is not the only factor to be considered to determine the strength of the team. There are many factors to be considered for determining the strength of the team. According to the variation coefficient of basketball scoring frequency, the paper designs the principal model of basketball players’ pitching target system. The data is captured by IoT devices and smart devices. The algorithm sets the number of the frequency of Gabor filter transformation features, controls the error accumulation, extracts the cascade features of basketball score video, constructs the video conversion discrimination rules, detects the basketball target, and obtains the tracking target contour to frame information. Finally, it realizes the target tracking detection of the team based on the team strength using an evaluation algorithm. The aim of this research work is to determine the strength of the team based on the healthcare data, team cohesiveness, and variance coefficient of basketball score frequency. The study on the coefficient of variation for basketball score frequency in teams can provide a theoretical research direction for team strength evaluation and meet the real-time needs of the coefficient of variation of basketball score frequency in teams. The empirical results show that the designed algorithm has the optimal execution time, more successful evaluation targets, high efficiency, and more reliability in evaluating the strength of the team.

2020 ◽  
Vol 91 (3) ◽  
pp. 31301
Author(s):  
Nabil Chakhchaoui ◽  
Rida Farhan ◽  
Meriem Boutaldat ◽  
Marwane Rouway ◽  
Adil Eddiai ◽  
...  

Novel textiles have received a lot of attention from researchers in the last decade due to some of their unique features. The introduction of intelligent materials into textile structures offers an opportunity to develop multifunctional textiles, such as sensing, reacting, conducting electricity and performing energy conversion operations. In this research work nanocomposite-based highly piezoelectric and electroactive β-phase new textile has been developed using the pad-dry-cure method. The deposition of poly (vinylidene fluoride) (PVDF) − carbon nanofillers (CNF) − tetraethyl orthosilicate (TEOS), Si(OCH2CH3)4 was acquired on a treated textile substrate using coating technique followed by evaporation to transform the passive (non-functional) textile into a dynamic textile with an enhanced piezoelectric β-phase. The aim of the study is the investigation of the impact the coating of textile via piezoelectric nanocomposites based PVDF-CNF (by optimizing piezoelectric crystalline phase). The chemical composition of CT/PVDF-CNC-TEOS textile was detected by qualitative elemental analysis (SEM/EDX). The added of 0.5% of CNF during the process provides material textiles with a piezoelectric β-phase of up to 50% has been measured by FTIR experiments. These results indicated that CNF has high efficiency in transforming the phase α introduced in the unloaded PVDF, to the β-phase in the case of nanocomposites. Consequently, this fabricated new textile exhibits glorious piezoelectric β-phase even with relatively low coating content of PVDF-CNF-TEOS. The study demonstrates that the pad-dry-cure method can potentially be used for the development of piezoelectric nanocomposite-coated wearable new textiles for sensors and energy harvesting applications. We believe that our study may inspire the research area for future advanced applications.


2006 ◽  
Vol 11 (2) ◽  
pp. 125-129 ◽  
Author(s):  
ÉVELYNE GAYOU

Portraits polychromes are a series of books associated with multimedia documents presented on the Internet site of the GRM since 2001. In releasing this collection, our primary concern was to increase awareness of the electroacoustic repertoire and the reserves in the GRM archives. The GRM, being a pioneering centre of electroacoustics, is fortunate to possess a consistent and significant reserve dating back to the beginning of the 1950s. At present, the catalogue contains around 2,000 works, accompanied with supplementary documents: composer's biographies, reviews, photographs, documentary movies, radio broadcasts, recorded public lectures, theoretical research work, transcriptions and analyses. In addition to the heritage value of the GRM's collection, the enterprise of the Portraits polychromes, with the aid of multimedia tools, aims to advance the progress of research on analysis and the transcription of musical works.


Metals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 663
Author(s):  
Thomas Borgert ◽  
Werner Homberg

Modern forming processes often allow today the efficient production of complex parts. In order to increase the sustainability of forming processes it would be favorable if the forming of workpieces becomes possible using production waste. At the Chair of Forming and Machining Technology of the Paderborn University (LUF) research is presently conducted with the overall goal to produce workpieces directly from secondary aluminum (e.g., powder and chips). Therefore, friction-based forming processes like friction spinning (or cognate processes) are used due to their high efficiency. As a pre-step, the production of semi-finished parts was the subject of accorded research work at the LUF. Therefore, a friction-based hot extrusion process was used for the full recycling or rework of aluminum chips into profiles. Investigations of the recycled semi-finished products show that they are comparable to conventionally produced semi-finished products in terms of dimensional stability and shape accuracy. An analysis of the mechanical properties of hardness and tensile strength shows that a final product with good and homogeneously distributed properties can be produced. Furthermore, significant correlations to the friction spinning process could be found that are useful for the above-mentioned direct part production from secondary aluminum.


2021 ◽  
Vol 12 (3) ◽  
pp. 98-122
Author(s):  
Sahil Sholla ◽  
Roohie Naaz Mir ◽  
Mohammad Ahsan Chishti

IoT is expected to have far-reaching consequences on society due to a wide spectrum of applications like smart healthcare, smart transportation, smart agriculture, smart home, etc. However, ethical considerations of AI-enabled smart devices have not been duly considered from a design perspective. In this paper, the authors propose a novel fuzzy logic-based method to incorporate ethics within smart things of IoT. Ethical considerations relevant to a machine context are represented in terms of fuzzy ethics variables (FEVs) and ethics rules. For each ethics rule, a value called scaled ethics value (SEV) is used to indicate its ethical desirability. In order to model flexibility in ethical response, the authors employ the concept of ethics modes that selectively allow scenarios depending on the value of SEV. The method offers a viable mechanism for smart devices to imbue ethical sensitivity that can pave the way for a technology society amenable to human ethics. However, the method does not account for varying ethics, as such incorporating learning mechanisms represent a promising research direction.


2021 ◽  
Vol 15 ◽  
Author(s):  
Yanling Zhao ◽  
Huanqing Zhang

Background: Bearing testing machine is the key equipment for bearing design, theoretical research and improvement, and it plays an important role in the performance of bearing life, fatigue, vibration and working temperature. With the requirements of aerospace, military equipment, automobile manufacturing and other industrial fields of the bearing are becoming higher and higher. There is an urgent need for high-precision and high-efficiency bearing testing machines to monitor and analyze the performance of bearings. Objective: By analyzing the recent patents, the characteristics and existing problems of the current bearing testing machine are summarized to provide references for the development of bearing test equipment in the future. Methods: This paper reviews various representative patents related to the third generation bearing testing machines. Results: Although the structure of bearing testing machines is different, the main problems in the structure and design principle of bearing testing machine have been summarized and analyzed, and the development of trend and direction of the future bearing testing machine have been discussed. Conclusion: Bearing testing machines for health monitoring of bearing life cycle is of great significance. The current bearing testing machine has basically achieved the monitoring and analysis However, due to the emergence of new types of bearings, further improvement is still needed. With the development of testing technology towards intelligent and big data-driven direction, bearing testing machine is moving towards the type of cloud computing and large-scale testing.


2021 ◽  
Vol 1 (1) ◽  
pp. 146-152
Author(s):  
Almaz Ulvi Bi̇nnatova ◽  

The research work named “From the history of scientific-theoretical research of Alisher Navoi’s heritage (on the pages of Azerbaijani literature and literary criticism)” was grouped in several directions. In the systematic research within the sections named - 1. “The influence of Alisher Navoiy’s creativity on Azerbaijani literature”, 2. “The influence of Azerbaijani literature on the creativity of Alisher Navoiy”, 3. “Studying of Alisher Navoiy’s legacy in Azerbaijani literary studies


ACTA IMEKO ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 48 ◽  
Author(s):  
Christian Riess ◽  
Michael Simon Josef Walter ◽  
Stefan Weiherer ◽  
Tiffany Haas ◽  
Sebastian Haas ◽  
...  

The automotive industry is currently undergoing far-reaching structural changes. Automobile manufacturers are pursuing intensive scientific research and technological development in the field of alternative drive systems, such as electric powertrains. If electric car batteries are charged with regenerative generated electricity, their emission output is zero (from a well-to-wheel view). Furthermore, electric drives have very high efficiency. At cold temperatures, however, the battery power drops due to energy-intensive loads, such as the heating of the passenger compartment, and this consequently reduces the range dramatically. Therefore, the focus of this research work is external energy supply for the required heat capacity. The auxiliary energy may be generated by renewable energy technologies in order to further improve the CO<sub>2</sub> balance of electric vehicles. The paper deals with the design, application, and testing of a biofuel-operated heater to heat the passenger compartment of a battery-powered electric car (a Renault ZOE R240). The practical use of the heating system is analyzed in several test drives, performed during winter 2018. The results as well as the range extension of the electric car that can be achieved by substituting the on-board heating system by the fuel-operated heater are quantified herein.


Author(s):  
MV Vyushkov ◽  
NN Zaitseva ◽  
EI Efimov ◽  
LS Kitaeva ◽  
GG Pobedinsky ◽  
...  

Introduction: Studying the possibility of using geoinformation technologies to analyze the epidemiological situation in the Volga Federal District (VFD) dates back to early 2000s. The experience of creating and maintaining the electronic epidemiological atlas of the Volga Federal District confirmed the relevance of this research direction for ensuring sanitary and epidemiological wellbeing of the population and showed the importance of its results for activities of healthcare and Rospotrebnadzor institutions. The purpose of our work was to consider the main stages of formation and development of geoinformation technologies in epidemiological surveillance of infectious diseases as a research direction of Academician I.N. Blokhina Nizhny Novgorod Scientific Research Institute of Epidemiology and Microbiology. Materials: The article describes the development of medical geography and gives characteristics of classical scientific schools and some of their results. It presents main results of research work carried out within the framework of the Rospotrebnadzor Sectoral Research Program for 2016–2020 as well as methodology and main stages of development of the geographically distributed geoinformation software complex “Electronic Epidemiological Atlas of the Russian Federation” (GIS “Epidemiological Atlas of Russia”) and its structure. Conclusions: Geographic information systems in epidemiological surveillance as an up-to-date scientific direction of research activities of the Institute enabled implementation of the geoinformation project “Epidemiological Atlas of the Volga Federal District”, the development of which began in 2000–2005 by specialists of the Institute and JSC Upper Volga Air Geodetic Enterprise, and development of GIS “Epidemiological Atlas of Russia”.


Author(s):  
Akashdeep Bhardwaj

This article describes how the rise of fog computing to improve cloud computing performance and the acceptance of smart devices is slowly but surely changing our future and shaping the computing environment around us. IoT integrated with advances in low cost computing, storage and power, along with high speed networks and big data, supports distributed computing. However, much like cloud computing, which are under constant security attacks and issues, distributed computing also faces similar challenges and security threats. This can be mitigated to a great extent using fog computing, which extends the limits of Cloud services to the last mile edge near to the nodes and networks, thereby increasing the performance and security levels. Fog computing also helps increase the reach and comes across as a viable solution for distributed computing. This article presents a review of the academic literature research work on the Fog Computing. The authors discuss the challenges in Fog environment and propose a new taxonomy.


2020 ◽  
Vol 17 ◽  
pp. 00090
Author(s):  
Firzinat Davletov ◽  
Karina Gainullina ◽  
Fidan Safin

Pea (Pisum sativum L.) is one of the ancient and valuable high-protein leguminous cultures in the world. Breeding of new high-yielding cultivars is the main reserve to increase production of pea seeds. At the present time, intraspecific hybridization has a great importance in selection of new cultivars of pea. However, consistent patterns of inheritance of a number of economically valuable traits by hybrids are still insufficiently investigated. The objective of this research work was to study inheritance of seed size (1000-kernel weight) by pea hybrids of the first and second filial generations (F1, F2). The crossing and back-crossing (reciprocal crossing) were conducted. In our experiments, the first filial generation hybrids (F1) had a lower 1000-kernel weight than the large-seeded parental cultivars. Herewith the large-seeded genotype of the female parental cultivar had more influence on displaying of this trait in hybrids than of the male parental cultivar. In the second filial generation hybrids (F2) showed intermediate inheritance of seed size. The results of our experiments attest high efficiency of seed size selection in segregating generations of hybrids, obtained from crosses between cultivars carrying genes of seed size.


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