scholarly journals Study on Heart Rate and Energy Expenditure in College Sports Training Based on Multisensor Perception

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Ge Liu ◽  
Baiqing Liu
Keyword(s):  
Heart Rate ◽  
Energy Consumption ◽  
Supply And Demand ◽  
Metabolic Model ◽  
College Sports ◽  
Intensity Level ◽  
Test Model ◽  
Demand Model ◽  
Sports Training ◽  
Sports Activity

Heart rate is one of the important indices to calculate and evaluate the intensity and quality of motion. It can scientifically and objectively reflect the intensity level of momentum and exercise in the process of exercise. It is an important index of athletic strength and physical fitness of athletes in college sports training. This paper analyzes the basic metabolic model of the human body and energy supply and demand model and constructs a scientific energy consumption test model for special sports activity. An algorithm for heart rate detection and energy consumption based on acceleration data acquisition is proposed. Therefore, it is proposed to calculate motion acceleration using bone point data obtained from a portable telephone camera sensor for special sports activity and to calculate kinetic energy consumption through detection data. A model for evaluating the proposed algorithm is also established.

Solar Renewable Energy Credit Price Volatility and Investment Returns: Have Policies Stranded Capital Investment?

Commonwealth ◽  
2017 ◽  
Vol 19 (1) ◽  
Author(s):  
Somayeh Youssefi ◽  
Patrick L. Gurian
Keyword(s):  
Solar Energy ◽  
Capital Investment ◽  
Supply And Demand ◽  
Price Volatility ◽  
The United States ◽  
Investment Model ◽  
Capital Investments ◽  
Demand Model ◽  
Market Prices ◽  
Investment Returns

Pennsylvania is one of a number of U.S. states that provide incentives for the generation of electricity by solar energy through Solar Renewal Energy Credits (SRECs). This article develops a return on investment model for solar energy generation in the PJM (mid-­Atlantic) region of the United States. Model results indicate that SREC values of roughly $150 are needed for residential scale systems to break even over a 25-­year project period at 3% interest. Market prices for SRECs in Pennsylvania have been well below this range from late 2011 through the first half of 2016, indicating that previous capital investments in solar generation have been stranded as a result of steep declines in the value of SRECs. A simple conceptual supply and demand model is developed to explain the sharp decline in market prices for SRECs. Also discussed is a possible policy remedy that would add unsold SRECs in a given year to the SREC quota for the subsequent year.

The impact of regulations on labor markets in the U.S.

2019 ◽  
Vol 1 (1) ◽  
pp. 36-40
Author(s):  
Souad Adnane
Keyword(s):  
Supply And Demand ◽  
Demand Model ◽  
Lead Teachers ◽  
Associate's Degree ◽  
Childcare Workers ◽  
Educational Requirements ◽  
The Cost ◽  
Women's Labor Force Participation ◽  
The Impact ◽  
The U.S

The District of Columbia (DC) Office of the Superintendent of Education (OSSE) issued in December 2016 new educational requirements for childcare workers, according to which, all childcare center directors in the District must earn a bachelor’s degree by December 2022 and all lead teachers an associate’s degree by December 2020 (Institute for Justice, 2018). Moreover, DC has one of the lowest staff-child ratios in the country. How are regulations pertaining to childcare workers’ qualifications and staff-child ratio affecting the childcare market in DC? The present paper is an attempt to answer this question first by analyzing the effects of more stringent regulations on the cost and availability of childcare in the U.S based on existing studies. It also uses the basic supply and demand model to examine the possible impact of the new DC policy on the cost, quality and supply of childcare in the District and how it will affect working parents, especially mothers. Next, the paper discusses the impact of deregulation based on simulations and regressions conducted by studies covering the U.S., and implications for quality. It concludes that more stringent childcare regulations, regarding educational requirements and staff-child ratios, are associated with a reduced number of childcare centers and a higher cost, and eventually affects women’s labor force participation.

scholarly journals A socio-psychological modal choice approach to modelling mobility and energy demand for electric vehicles

2020 ◽  
Vol 3 (S1) ◽  
Author(s):  
Khoa Nguyen ◽  
René Schumann
Keyword(s):  
Energy Demand ◽  
Supply And Demand ◽  
Stochastic Approach ◽  
Social Characteristics ◽  
Limited Information ◽  
Demand Model ◽  
Modal Choice ◽  
Charging Infrastructure ◽  
Human Decision ◽  
Electro Mobility

Abstract The development of efficient electric vehicle (EV) charging infrastructure requires modelling of consumer demand at an appropriate level of detail. Since only limited information about real customers is available, most simulations employ a stochastic approach by combining known or estimated business features (e.g. arrival and departure time, requested amount of energy) with random variations. However, these models in many cases do not include factors that deal with the social characteristics of EV users, while others do not emphasise on the economic elements. In this work, we introduced a more detailed demand model employing a modal choice simulation framework based on Triandis’ Theory of Interpersonal Behaviour, which can be calibrated by empirical data and is capable of combining a diverse number of determinants in human decision-making. By applying this model on Switzerland mobility domain, an analysis on three of the most popular EV incentives from both supply and demand sides is provided, which aims for a better understanding of electro-mobility systems by relating its causes and effects.

scholarly journals Islamist Women as Candidates in Elections: A Comparison of the Party of Justice and Development in Morocco and the Muslim Brotherhood in Egypt

2017 ◽  
Vol 57 (3-4) ◽  
pp. 329-359 ◽  
Author(s):  
Katarína Škrabáková
Keyword(s):  
Supply And Demand ◽  
Muslim Brotherhood ◽  
Candidate Selection ◽  
Demand Model ◽  
Mena Region ◽  
External Interference ◽  
Female Candidates ◽  
The Muslim Brotherhood ◽  
Supply And Demand Model ◽  
The Impact

This paper examines the legislative recruitment of women from conservative Islamist parties. It questions the common assumption that generally all Islamist parties are equally hostile to political participation and representation of women. For this purpose, two of the electorally most successful Islamist groups in the MENA region are compared, namely the Egyptian Muslim Brotherhood (MB) and its Moroccan offshoot, the Party of Justice and Development (PJD). The article seeks an explanation for diverging trends in female candidacy between these conservative religious movements, using the traditional supply and demand model of candidate selection. It argues that the less centralized and the more institutionalized parties (as is the case with the PJD) seem to be better equipped to facilitate women’s candidacy than the more oligarchic ones (the MB). In order to fully grasp the reasons behind the diverging trends in the nomination of female candidates from both Islamist parties, cultural factors are scrutinized as well. The article highlights the limits of the supply and demand model of candidate selection, which cannot explain instances of unexpected change in recruitment strategies based on external interference. Furthermore, it does not provide us the means to assess the impact of individual candidates’ ‘feminist credentials’ on overall female representation.


The nexus between financial development and energy consumption: Estimating the role of foreign direct investment, economic growth and urbanization

2021 ◽  
pp. 0958305X2110453
Author(s):  
Jaleel Ahmed ◽  
Shuja ur Rehman ◽  
Zaid Zuhaira ◽  
Shoaib Nisar
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Energy Consumption ◽  
Financial Development ◽  
Latin American ◽  
Direct Investment ◽  
Negative Impact ◽  
Positive Impact ◽  
Supply And Demand ◽  
The Impact

This study examines the impact of financial development on energy consumption for a wide array of countries. The estimators used for financial development are foreign direct investment, economic growth and urbanization. The study employed a panel data regression on 136 countries with time frame of years 1990 to 2019. The model in this study deploys system GMM technique to estimate the model. The results show that financial development has a significant negative impact on energy consumption overall. Foreign direct investment and urbanization has significant impact on energy consumption. Also, economic growth positive impact on energy consumption its mean that economic growth promotes energy consumption. When dividing further the sample into different groups of regions such as Asian, European, African, North/Latin American and Caribbean countries then mixed results related to the nexus between financial development and energy consumption with respect to economic growth, urbanization and foreign direct investment. The policymakers in these different groups of countries must balance the relationship between energy supply and demand to achieving the sustainable economic development.

Production Process Modeling for Demand Side Management

2017 ◽  
Vol 871 ◽  
pp. 77-86
Author(s):  
Stefanie Kabelitz ◽  
Sergii Kolomiichuk
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Supply And Demand ◽  
Demand Side Management ◽  
Mixed Integer ◽  
Mixed Integer Program ◽  
Business Practices ◽  
Demand Side ◽  
Manufacturing Companies ◽  
Consumption Data

The supply of electricity is growing increasingly dependent on the weather as the share of renewable energies increases. Different measures can nevertheless maintain grid reliability and quality. These include the use of storage technologies, upgrades of the grid and options for responsiveness to supply and demand. This paper focuses on demand side management and the use of flexibility in production processes. First, the framework of Germany’s energy policy is presented and direct and indirect incentives for businesses to seek as well as to provide flexibility capabilities are highlighted. Converting this framework into a mixed integer program leads to multi-objective optimization. The challenge inherent to this method is realistically mapping the different objectives that affect business practices directly and indirectly in a variety of laws. An example is introduced to demonstrate the complexity of the model and examine the energy flexibility. Second, manufacturing companies’ energy efficiency is assessed under the frequently occurring conditions of heavily aggregated energy consumption data and of information with insufficient depth of detail to perform certain analyses, formulate actions or optimize processes. The findings obtained from the energy assessment and energy consumption projections are used to model the production system’s energy efficiency and thus facilitate optimization. Methods of data mining and machine learning are employed to project energy consumption. Aggregated energy consumption data and different production and environmental parameters are used to assess indirectly measured consumers and link projections of energy consumption with the production schedule.

Estimating Household Travel Energy Consumption in Conjunction with a Travel Demand Forecasting Model

2017 ◽  
Vol 2668 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Venu M. Garikapati ◽  
Daehyun You ◽  
Wenwen Zhang ◽  
Ram M. Pendyala ◽  
Subhrajit Guhathakurta ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Urban Form ◽  
Travel Demand ◽  
Demand Forecasting ◽  
The United States ◽  
Metropolitan Region ◽  
Demand Model ◽  
Awareness Campaigns ◽  
Energy Footprint ◽  
Household Travel

This paper presents a methodology for the calculation of the consumption of household travel energy at the level of the traffic analysis zone (TAZ) in conjunction with information that is readily available from a standard four-step travel demand model system. This methodology embeds two algorithms. The first provides a means of allocating non-home-based trips to residential zones that are the source of such trips, whereas the second provides a mechanism for incorporating the effects of household vehicle fleet composition on fuel consumption. The methodology is applied to the greater Atlanta, Georgia, metropolitan region in the United States and is found to offer a robust mechanism for calculating the footprint of household travel energy at the level of the individual TAZ; this mechanism makes possible the study of variations in the energy footprint across space. The travel energy footprint is strongly correlated with the density of the built environment, although socioeconomic differences across TAZs also likely contribute to differences in travel energy footprints. The TAZ-level calculator of the footprint of household travel energy can be used to analyze alternative futures and relate differences in the energy footprint to differences in a number of contributing factors and thus enables the design of urban form, formulation of policy interventions, and implementation of awareness campaigns that may produce more-sustainable patterns of energy consumption.

scholarly journals Desarrollo de Sistema Portable para al Medición del Gasto Energético

2019 ◽  
Author(s):  
David Alexander Urrego-Higuita
Keyword(s):  
Heart Rate ◽  
Energy Consumption ◽  
Gas Sensors ◽  
Indirect Calorimetry ◽  
Growth And Development ◽  
Living System ◽  
Human Being ◽  
Research Paradigm ◽  
Calibration Protocol ◽  
Development Processes

Every living system consumes energy for its growth and development processes, in the human being it becomes a research paradigm, where the aim is to determine the interaction of man with his environment and the transformation of the energy coming from food.For your study there are different techniques which differ in their level of specialization, cost and accuracy, these are divided into predictive, estimating and measurement. For this project a system that seeks to determine the energy consumption during different states is developed, due to the variability of conditions in which the study of energy consumption is developed, different techniques are established such as indirect calorimetry and the conditions for the evaluation by means of accelerometers and the study of heart rate, where a record of the related variables is made through a computational applicationFinally, the behavior of the prototype in different resting states is evaluated, as well as the evaluation of the sensors used in indirect calorimetry, where evaluation tests of the gas sensors and calibration protocol for the flow sensor are defined.

scholarly journals Evaluating the Validity of Current Mainstream Wearable Devices in Fitness Tracking Under Various Physical Activities: Comparative Study (Preprint)

2018 ◽  
Author(s):  
Junqing Xie ◽  
Dong Wen ◽  
Lizhong Liang ◽  
Yuxi Jia ◽  
Li Gao ◽  
...  
Keyword(s):  
Heart Rate ◽  
Energy Consumption ◽  
Sleep Duration ◽  
Measurement Accuracy ◽  
Health Indicators ◽  
Wearable Devices ◽  
Health Related ◽  
Fitness Tracking ◽  
Activity State ◽  
Fitness Trackers

BACKGROUND Wearable devices have attracted much attention from the market in recent years for their fitness monitoring and other health-related metrics; however, the accuracy of fitness tracking results still plays a major role in health promotion. OBJECTIVE The aim of this study was to evaluate the accuracy of a host of latest wearable devices in measuring fitness-related indicators under various seminatural activities. METHODS A total of 44 healthy subjects were recruited, and each subject was asked to simultaneously wear 6 devices (Apple Watch 2, Samsung Gear S3, Jawbone Up3, Fitbit Surge, Huawei Talk Band B3, and Xiaomi Mi Band 2) and 2 smartphone apps (Dongdong and Ledongli) to measure five major health indicators (heart rate, number of steps, distance, energy consumption, and sleep duration) under various activity states (resting, walking, running, cycling, and sleeping), which were then compared with the gold standard (manual measurements of the heart rate, number of steps, distance, and sleep, and energy consumption through oxygen consumption) and calculated to determine their respective mean absolute percentage errors (MAPEs). RESULTS Wearable devices had a rather high measurement accuracy with respect to heart rate, number of steps, distance, and sleep duration, with a MAPE of approximately 0.10, whereas poor measurement accuracy was observed for energy consumption (calories), indicated by a MAPE of up to 0.44. The measurements varied for the same indicator measured by different fitness trackers. The variation in measurement of the number of steps was the highest (Apple Watch 2: 0.42; Dongdong: 0.01), whereas it was the lowest for heart rate (Samsung Gear S3: 0.34; Xiaomi Mi Band 2: 0.12). Measurements differed insignificantly for the same indicator measured under different states of activity; the MAPE of distance and energy measurements were in the range of 0.08 to 0.17 and 0.41 to 0.48, respectively. Overall, the Samsung Gear S3 performed the best for the measurement of heart rate under the resting state (MAPE of 0.04), whereas Dongdong performed the best for the measurement of the number of steps under the walking state (MAPE of 0.01). Fitbit Surge performed the best for distance measurement under the cycling state (MAPE of 0.04), and Huawei Talk Band B3 performed the best for energy consumption measurement under the walking state (MAPE of 0.17). CONCLUSIONS At present, mainstream devices are able to reliably measure heart rate, number of steps, distance, and sleep duration, which can be used as effective health evaluation indicators, but the measurement accuracy of energy consumption is still inadequate. Fitness trackers of different brands vary with regard to measurement of indicators and are all affected by the activity state, which indicates that manufacturers of fitness trackers need to improve their algorithms for different activity states.

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