Sampling Primary Power Standard from DC up to 9 kHz Using Commercial Off-The-Shelf Components

In the framework of the empir projects myrails and windefcy, metas developed a primary standard for electrical power using commercial off-the-shelf components. The only custom part is the software that controls the sampling system and determines the amplitude and phase of the different frequency components of voltage and current. The system operates from dc up to 9 kHz, even with distorted signals. The basic system is limited to 700 V and 21 A. Its power uncertainty is 15 μW/VA at power frequencies and increases to 1.8 mW/VA at 9 kHz. With the extension up to 1000 V and 360 A, the system reaches power uncertainties of 20 μW/VA at power frequencies, increasing to 510 μW/VA at 9 kHz. For higher voltages or higher currents, the same principle is used. However, the uncertainties are dominated by the stability of the sources. The voltage and current channels can also be used independently to calibrate and test power quality instruments. Thanks to a time-stamping system, the system can also be used to calibrate phasor measurement units, which are synchronised to utc.

Pengaruh Kualitas Produk Terhadap Loyalitas Pelanggan Air Mineral Alfamart Pada Toko Alfamart Cabang Cikokol

Alfamart is also one of the mini market stores in Indonesia which also applies the importance of providing the best service for each customer and always tries to understand the products that its customers need and want. By offering various kinds of bottled water products, Alfamart strives to satisfy and provide convenience to each of its customers in making purchase transactions. In this study, researchers used a saturated sampling technique in determining the number of samples. Based on the number of population and the sampling technique used, the number of samples in this study was 75 respondents. Based on the results of the distribution of product quality instruments (x) to 75 Alfamart mineral water customers, it shows that, product quality (x) in mineral water, customer loyalty (y) for mineral water at Alfamart Cikokol Tangerang Branch is currently good. The effect of product quality on customer loyalty of Alfamart mineral water at Alfamart store Cikokol Tangerang branch shows that, the simple linear regression equation Y = 15.42 + 0.39. (x) means that this equation can estimate / calculate the effect of product quality (x) on customer loyalty (y). If the product quality (x) is increased one-by-one, customer loyalty (y) will increase to 0.39 and if the product quality is increased to 10 then customer loyalty will increase to 3.9. The coefficient of determination of the product quality variable (x) contributed 41.90% to the customer loyalty variable (y) at Alfamart Stores Cikokol Tangerang branch. In the hypothesis test t count 7,256 t table 1,993, thus this study proves that "there is a significant effect of product quality on customer loyalty of Alfamart Mineral Water at Alfamart Stores Cikokol Branch"

Measures of Decision Aid Quality Are Preference-Sensitive and Interest-Conflicted – 2: Empirical Measures

Empirical measures of ‘decision aid quality’, like normative ones, are of a formative construct and therefore embody interest-conflicted preferences in their criteria selection and weighting. The preferences of the International Patient Decision Aid Standards consortium distinguish the quality of the decision-making process and the quality of the choice that is made ‘(i.e., decision quality)’. The Decision Conflict Scale features heavily in their profile measure of the former and Decision Quality Instruments (DQIs), have been developed by members of the consortium to measure the latter. We confirm that both of these, and other components, like the higher-level measures, are preference-sensitive and interest-conflicted. Non-financial interest-conflicted preferences are endemic in healthcare research, policy-making, and practice. That they are inevitable means the main problem lies in the denial of this and attitude to and behaviour towards alternatives, equally interest-conflicted.

Tax and Legal Instruments of Protection of Ambient Air as Seen in the Example of the Thermal Upgrade Relief

Ambient air is one of the most essential natural resources. Its quality directly impacts the health of living organisms. Thus it determines the scale of public spending as a consequence of atmospheric pollution. At the same time, due to the properties of this resource, the problem of its protection has a transnational, global dimension. Therefore, states should undertake and constantly intensify activities the goal of which is to meet not only ambient air quality norms, but also those norms which will allow an effective impact on the improvement of its quality. Instruments and institutions falling under various branches of the law, including the tax law, are used for this purpose. A thermal upgrade relief was introduced to the Polish tax system at the beginning of 2019. The basis and principles of its application were defined in the personal income tax act. The paper presents substantiated use of tax instruments in the protection of ambient air, the legal basis and principles of application of the discussed tax preference. The conducted analysis gave rise to the formulation of de lege lata and de lege ferenda conclusions.

Use of Quality Management Instruments in the Window Production Process

The article presents the results of research analyzing the level of use of quality assurance instruments. The use of quality management instruments refers to the production of windows based on PVC profiles. Based on the results of surveys, which were additionally verified by an extended expert interview, an analysis was made of the level of use of quality assurance instruments at individual stages of the technological process. The main conclusion of the analyzes is that the most commonly used quality instruments are Pareto-Lorenz analysis, Ishikawa diagram, control cards and the FMEA method.

Redesign of the Curing Area of the Tire Manufacturing Process

In this study, the production efficiency of a company’s manufacturing flow decreased, and therefore specific improvement actions on the tire manufacturing process were implemented. Additionally, the process improvement plan started with a deeper understanding of the activities, by using the SIPOC method (suppliers, inputs, process, outputs, customers). In order to identify the root-causes and the opportunities for improvement, quality instruments, such as the Ishikawa and Pareto quality tools, were used. The tire manufacturing process was reorganized using the 5S method, then the process was standardized and maintained through specific working procedures drafted on the standard operating procedure format. A particular device was designed for unlocking spring vents. Finally, the implementation of the redesign project shows added value as the entire manufacturing process improved by identifying weaknesses and correcting them. In addition to this, a different objective of the same company used in this case study is linked to adapting to market regulation requirements (the Economic Commission of Europe), with the aim to remain competitive. Therefore, well-defined processes and a strategy based on continuous improvement are needed. The methodology may be transferred to other industries.

Item Analysis Training Problems with Software to Improve Teacher’s Competencies in Blitar

One of the demands of a professional teacher is being able to make quality questions. Item analysis is one way to obtain quality questions. Therefore, in this community service, the PKM team conducted an item analysis training held at Campus 3 of Malang State University in Blitar City, which was attended by 19 teacher participants from three sub-district representatives in Blitar City. The purpose of this dedication is to: (1) increase the awareness of teachers the importance of analyzing items, (2) provide insight about compiling good instruments and analyze items so that they get quality instruments, (3) assist to teachers in analyzing items using ITEMAN, Anates, and Excel. The method of carrying out this dedication activity is carried out with lectures, demonstrations, and practices, assignments, discussions, and presentations. The training was held for four days and was attended by all participants in a disciplined and orderly manner. PKM results show that all participants were able to (1) compile a good test instrument, (2) understand the importance of analyzing items, (3) analyze items using software using ITEMAN, Anates, and Excel.

Performance assessment of data reconstruction and correction in meteorological timeseries

<p>Models that consume meteorological data have often requirements that are quite incompatible with the realities of continuously measured data: they require gapless data when datasets have gaps, they require sampling rate matching the phenomena of interest when datasets use a sampling rate dictated by energy and storage capacities, they require ‘perfect’ data when sensors have flaws.</p><p> </p><p><span>The MeteoIO library </span><span>[1]</span><span> has been designed </span><span>to solve this discrepancy </span><span>as a meteorological data pre-processing library for numerical models (</span><span>as well as other applications consuming such data</span><span>), </span><span>able to read measured data f</span><span>rom a variety of sources </span><span>and to </span><span>standardize it into a unique representation (parameters naming and units) as well as filter, correct, resample and spatially interpolate it </span><span>according to the end user’s configuration. From its very beginning, it aimed to be a toolbox that allows the user to c</span><span>hoose from a large panel of published methods for each of the processing steps</span></p><p> </p><p><span>Unfortunately, until now there has been no systematic assessment of the performance of the available methods nor recommendations on best strategies. Based on an extensive network of Automatic Weather Stations (</span><span>AWS)</span><span> l</span><span>ocated</span><span> around Davos, Switzerland, we present </span><span>our preliminary recommendations for data reconstruction and corrections. </span><span>Artificially</span><span> degraded data allow </span><span>us</span><span> to compare the reconstruction with the original data, either exclusively based on the local data or by using neighboring stations. The high quality instruments available at Davos Weissfluhjoch (2536m a.s.l.) similarly allow </span><span>us </span><span>to compare various correction methods applied to the simpler kind of sensors normally found on regular AWS.</span></p><p> </p><p> </p><p>[1] Bavay, M. and Egger, T., "<em>MeteoIO 2.4.2: a preprocessing library for meteorological data</em>", Geosci. Model Dev., 7, 3135-3151, doi:10.5194/gmd-7-3135-2014, 2014.</p>