scholarly journals FIKWater: A Water Consumption Dataset from Three Restaurant Kitchens in Portugal

Data ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 26
Author(s):  
Lucas Pereira ◽  
Vitor Aguiar ◽  
Fábio Vasconcelos
Keyword(s):  
Water Demand ◽  
Time Series Data ◽  
Cold Water ◽  
Low Cost ◽  
Sampling Frequency ◽  
Research Community ◽  
Series Data ◽  
Flow Meters ◽  
The Internet Of Things ◽  
Size Data

With the advent of the Internet of Things (IoT) and low-cost sensing technologies, the availability of data has reached levels never imagined before by the research community. However, independently of their size, data are only as valuable as the ability to have access to them. This paper presents the FIKWater dataset, which contains time series data for hot and cold water demand collected from three restaurant kitchens in Portugal for consecutive periods between two and four weeks. The measurements were taken using ultrasonic flow meters, at a sampling frequency of 0.2 Hz. Additionally, some details of the monitored spaces are also provided.

scholarly journals Deep Convolutional and LSTM Networks on Multi-Channel Time Series Data for Gait Phase Recognition

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 789
Author(s):  
David Kreuzer ◽  
Michael Munz
Keyword(s):  
Gait Analysis ◽  
Time Series Data ◽  
Low Cost ◽  
Analysis Data ◽  
Gait Disorders ◽  
Human Gait ◽  
Series Data ◽  
Ageing Society ◽  
Time Motion ◽  
Gait Phase

With an ageing society comes the increased prevalence of gait disorders. The restriction of mobility leads to a considerable reduction in the quality of life, because associated falls increase morbidity and mortality. Consideration of gait analysis data often alters surgical recommendations. For that reason, the early and systematic diagnostic treatment of gait disorders can spare a lot of suffering. As modern gait analysis systems are, in most cases, still very costly, many patients are not privileged enough to have access to comparable therapies. Low-cost systems such as inertial measurement units (IMUs) still pose major challenges, but offer possibilities for automatic real-time motion analysis. In this paper, we present a new approach to reliably detect human gait phases, using IMUs and machine learning methods. This approach should form the foundation of a new medical device to be used for gait analysis. A model is presented combining deep 2D-convolutional and LSTM networks to perform a classification task; it predicts the current gait phase with an accuracy of over 92% on an unseen subject, differentiating between five different phases. In the course of the paper, different approaches to optimize the performance of the model are presented and evaluated.

scholarly journals Sediment Bed Borehole Advection Method

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3380
Author(s):  
Scott Augustine ◽  
Jaehyun Cho ◽  
Harald Klammler ◽  
Kirk Hatfield ◽  
Michael D. Annable
Keyword(s):  
Time Series Data ◽  
Low Cost ◽  
Vertical Direction ◽  
Series Data ◽  
Time Analysis ◽  
Sediment Bed ◽  
Concentration Time Series ◽  
Flux Measurements ◽  
Darcy Flux ◽  
Sediment Interface

This paper introduces and tests the Sediment Bed Borehole Advection Method (SBBAM), a low cost, point-measurement technique which utilizes a push-point probe to quantify the vertical direction and magnitude of Darcy flux at the surface water—groundwater sediment interface. The Darcy flux measurements are derived from the residence-time analysis of tracer arrival calculated from measured tracer concentration time-series data. The technique was evaluated in the laboratory using a sediment bed simulator tank at eight flow rates (1–90 cm/day). Triplicate test runs for each flow rate returned average errors between 4–20 percent; r2 = 0.9977.

Optimizing models for remotely estimating primary production in Antarctic coastal waters

2000 ◽  
Vol 12 (1) ◽  
pp. 20-32 ◽  
Author(s):  
H.M. Dierssen ◽  
M. Vernet ◽  
R.C. Smith
Keyword(s):  
Primary Production ◽  
Primary Productivity ◽  
Coastal Waters ◽  
Time Series Data ◽  
Cold Water ◽  
Water System ◽  
Environmental Parameters ◽  
Day Length ◽  
Series Data ◽  
Phytoplankton Productivity

Primary productivity and associated biogeochemical fluxes within the Southern Ocean are globally significant, sensitive to change and poorly known compared to temperate marine ecosystems. We present seasonal time series data of chlorophyll a, primary productivity and in-water irradiance measured in the coastal waters of the Western Antarctica Peninsula and build upon existing models to provide a more optimum parameterization for the estimation of primary productivity in Antarctic coastal waters. These and other data provide strong evidence that bio-optical characteristics and phytoplankton productivity in Antarctic waters are different from temperate waters. For these waters we show that over 60% of the variability in primary production can be explained by the surface chlorophyll a concentration alone, a characteristic, which lends itself to remote sensing models. If chlorophyll a concentrations are accurately determined, then the largest source of error (13–18%) results from estimates of the photoadaptive variable (PBopt). Further, the overall magnitude of PBopt is low (median 1.09 mg C mg chl−1 h−1) for these data compared to other regions and generally fits that expected for a cold water system. However, the variability of PBopt over the course of a season (0.4 to 3 mg C mg chl−1 h−1) is not consistently correlated with other possible environmental parameters, such as chlorophyll, sea surface temperature, incident irradiance, day length, salinity, or taxonomic composition. Nonetheless, by tuning a standard depth-integrated primary productivity model to fit representative PBopt values and the relatively uniform chlorophyll-normalized production profile found in these waters, we can improve the model to account for approximately 72–73% variability in primary production both for our data as well as for independent historic Antarctic data.

scholarly journals Low-cost solution to the grid reliability problem with 100% penetration of intermittent wind, water, and solar for all purposes

2015 ◽  
Vol 112 (49) ◽  
pp. 15060-15065 ◽  
Author(s):  
Mark Z. Jacobson ◽  
Mark A. Delucchi ◽  
Mary A. Cameron ◽  
Bethany A. Frew
Keyword(s):  
Nuclear Power ◽  
Large Scale ◽  
Fossil Fuels ◽  
Phase Change Materials ◽  
Time Series Data ◽  
Low Cost ◽  
Series Data ◽  
Integration Model ◽  
Weather Model ◽  
Scale Integration

This study addresses the greatest concern facing the large-scale integration of wind, water, and solar (WWS) into a power grid: the high cost of avoiding load loss caused by WWS variability and uncertainty. It uses a new grid integration model and finds low-cost, no-load-loss, nonunique solutions to this problem on electrification of all US energy sectors (electricity, transportation, heating/cooling, and industry) while accounting for wind and solar time series data from a 3D global weather model that simulates extreme events and competition among wind turbines for available kinetic energy. Solutions are obtained by prioritizing storage for heat (in soil and water); cold (in ice and water); and electricity (in phase-change materials, pumped hydro, hydropower, and hydrogen), and using demand response. No natural gas, biofuels, nuclear power, or stationary batteries are needed. The resulting 2050–2055 US electricity social cost for a full system is much less than for fossil fuels. These results hold for many conditions, suggesting that low-cost, reliable 100% WWS systems should work many places worldwide.

scholarly journals Recovering Within-Person Dynamics from Psychological Time Series

2020 ◽  
Author(s):  
Jonas M B Haslbeck ◽  
Oisín Ryan
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Sampling Frequency ◽  
Series Data ◽  
Time Series Models ◽  
Theoretical Understanding ◽  
Psychological Phenomena ◽  
Modeling Methodology ◽  
Emotion Dynamics ◽  
True System

Idiographic modeling is rapidly gaining popularity and promises to tap into the within-person dynamics underlying psychological phenomena. To gain theoretical understanding of these dynamics, we need to make inferences from time series models about the underlying system. Such inferences are subject to two challenges: the time series models will arguably always be misspecified, which means that it is unclear how to make inferences to the underlying system; and second, the sampling frequency must be sufficient to capture the dynamics of interest. We discuss both problems with the following approach: we specify a toy model for emotion dynamics as the true system, generate time series data from it, and then try to recover that system with the most popular time series analysis tools. We show that making straightforward inferences from time series models about an underlying system is difficult. We also show that if the sampling frequency is insufficient, the dynamics of interest cannot be recovered. However, we also show that global characteristics of the system can be recovered reliably. We conclude by discussing the consequences of our findings for idiographic modeling and suggest to adopt a modeling methodology that goes beyond fitting time series models alone.

scholarly journals Water Demand Management Based on Water Consumption Data Analysis in the Emirate of Abu Dhabi

Water ◽  
2021 ◽  
Vol 13 (20) ◽  
pp. 2827
Author(s):  
Shayma Albannay ◽  
Shinobu Kazama ◽  
Kumiko Oguma ◽  
Takashi Hashimoto ◽  
Satoshi Takizawa
Keyword(s):  
United Arab Emirates ◽  
Water Consumption ◽  
Water Demand ◽  
Time Series Data ◽  
Demand Management ◽  
Water Saving ◽  
Abu Dhabi ◽  
Series Data ◽  
Water Demand Management ◽  
Consumption Data

In Abu Dhabi, in the United Arab Emirates (UAE), the population and water demand have nearly tripled in the last two decades. Thus, it has become critical to curtail the growing water demand. This study aimed to evaluate the efficacy of Abu Dhabi’s residential water demand management through the installation of water-saving fittings. The analysis of water consumption time-series data revealed that water consumption of the three water user categories was significantly different. Briefly: water-tariff exempt users consumed 95.19 m3/d/connection in 2019, followed by nationals with 5.14 m3/d/connection, and expats at 0.7 m3/d/connection. Nationals began saving water in 2011, which was earlier than the water tariff revision of 2015. In a newly developed area of Khalifa City, the water consumption of new residents was 46.0% less than that of old residents, indicating the effectiveness of water-saving fittings installed in new homes following the Housing Rules’ requirements. Then, based on the estimated number of new connections and the fittings’ saving efficiencies, we estimated that water-saving fittings contributed to 73.1% of the water savings since 2011. These results strongly recommend the introduction of an incentive or subsidy for owners of old houses to replace their outdated fittings with water-saving ones.

Estimation of Elasticities of Substitution for CES and VES Production Functions using Firm-level Data for Food-processing Industries in Pakistan

1988 ◽  
Vol 27 (1) ◽  
pp. 59-71 ◽  
Author(s):  
George E. Barrese ◽  
Sohail J. Malik
Keyword(s):  
Food Processing ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Low Cost ◽  
Series Data ◽  
Firm Level ◽  
Acre Yield ◽  
Level Data ◽  
The Government

This study, based on the time-series data covering the period from 1956 to 1986, estimates production function in the agricultural sector of Pakistan. The strategy for agricultural development in the country has been based on greater utilization of "high pay-off' low-cost technology. The government advanced loans through financial institutions to make it possible for the farmers to acquire this technology. Despite the infusion of seed-fertilizer technology, per acre yield of major crops like wheat, rice, cereal and sugar-cane in Pakistan is lower than in most LDCs in the region. Therefore, it is concluded that the use of present technology has reached a plateau and it is time to look for additional inputs for improvement in productivity.

TSCache

2021 ◽  
Vol 14 (13) ◽  
pp. 3253-3266
Author(s):  
Jian Liu ◽  
Kefei Wang ◽  
Feng Chen
Keyword(s):  
Time Series ◽  
High Speed ◽  
Time Series Data ◽  
Low Cost ◽  
Series Data ◽  
Efficient System ◽  
Indexing Structure ◽  
System Solution ◽  
Challenges And Opportunities ◽  
Cache System

Time-series databases are becoming an indispensable component in today's data centers. In order to manage the rapidly growing time-series data, we need an effective and efficient system solution to handle the huge traffic of time-series data queries. A promising solution is to deploy a high-speed, large-capacity cache system to relieve the burden on the backend time-series databases and accelerate query processing. However, time-series data is drastically different from other traditional data workloads, bringing both challenges and opportunities. In this paper, we present a flash-based cache system design for time-series data, called TSCache . By exploiting the unique properties of time-series data, we have developed a set of optimization schemes, such as a slab-based data management, a two-layered data indexing structure, an adaptive time-aware caching policy, and a low-cost compaction process. We have implemented a prototype based on Twitter's Fatcache. Our experimental results show that TSCache can significantly improve client query performance, effectively increasing the bandwidth by a factor of up to 6.7 and reducing the latency by up to 84.2%.

Thermodynamic Effects on Cavitation in Water and Cryogenic Fluids

2010 ◽  
Author(s):  
Maria Grazia De Giorgi ◽  
Maria Giovanna Rodio ◽  
Antonio Ficarella
Keyword(s):  
High Speed ◽  
Time Series Data ◽  
Cold Water ◽  
Hot Water ◽  
Series Data ◽  
Cryogenic Fluid ◽  
Low Frequencies ◽  
Pixel Intensity ◽  
Cavitation Phenomenon ◽  
Optical Visualization

The present study focuses on the formation of cavitation in cold and hot water and in cryogenic fluid, characterized by strong variations in fluid properties caused by a change in temperature. Cavitation phenomenon is investigated in water and nitrogen flows in a convergent-divergent nozzle through pressure measurements and the optical visualization method. High-speed photographic recordings have been made, the cavitation phenomena evolution and the related frequency content are investigated by means of pixel intensity time series data. The results obtained concur with those obtained with the spectral analysis of the pressure signals. In the case of cryogenic fluid frequency peaks are shifted towards lower frequencies, with respect to cold water and the magnitude of the signal rises, in particular at low frequencies, for nitrogen and hot water. This can be due to thermal effects that contribute also to the low frequencies in the case of cryogenic fluid. To verify the validity of this assumption, a simple model based on the resolution of Rayleigh equation is used.

scholarly journals Foreign influence on Pakistan's exports and imports Evidence from Pakistan

2016 ◽  
Vol 2 (2) ◽  
pp. 117-128
Author(s):  
Irfan Hussain Khan ◽  
Shumaila Hashim ◽  
Muhammad Rizwan Yaseen
Keyword(s):  
Trading Volume ◽  
Time Series Data ◽  
Low Cost ◽  
Basic Research ◽  
Developed Countries ◽  
Theoretical Background ◽  
Series Data ◽  
Annual Data ◽  
Study Results ◽  
The Impact

The purpose of this study is to investigate the impact of the Pakistani currency phase action on exports and imports. Two time series data base year and quarterly basic research use. Starting from the 1970 annual data for about 40 years, beginning with the beginning of 2000 to 2012 quarterly data. Johnson estimates quarterly observations using common integration techniques. In the current study results show that Pakistan first began trading volume for the US and developed countries, the UK and Europe. As a combination of export and import time Pakistan has improved. Production and manufacture of semi-finished goods and primary product alternatives, while the import of consumer goods, capital goods and petroleum products expanded. Due to low-cost elasticity of the export and import activity of the exchange of theoretical background reaction support. On the other hand, if the value of the rupees fell against the dollar, the import costs rose more than the export bills. In support of this study, Pakistan should focus on a small number of countries to reduce trade and expand trade. Similarly, on the basis of the goods may add some other goods.

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