BINQ Mining > Mining Equipment > how to measure the performance of the separator in cement mills; Print. how to measure the performance of the separator in cement mills. Posted at:January 30, 2013[ 4.5 - 1081 Ratings] Cement mill – Wikipedia, the free encyclopedia.
• the measure you optimize to makes a difference • the measure you report makes a difference • use measure appropriate for problem/community • accuracy often is not sufficient/appropriate • ROC is gaining popularity in the ML community • only accuracy generalizes to >2 classes!
Alternatively, are there some miners that can be pre-configured to perform mining on a specific pool with given credentials? Or to put it in another way, if I wanted to simplify the process of checking a mining speed of a given computer for someone with minimal knowledge of what Bitcoin is, what websites or software should I use?
Effectively measuring, understanding, and improving mobile app performance is of paramount importance for mobile app developers. Across the mobile Internet landscape, companies run online controlled experiments (A/B tests) with thousands of performance metrics in order to understand how app performance causally impacts user retention and to guard against service or app regressions …
We recommend you use a power meter monitor to measure the actual power draw from the wall, but it is not necessary. Connect your rig to the electricity via the power meter monitor and start it up. Download and install MSI Afterburner. Start mining and write down power usage from the power meter monitor and current hashrate.
Performance measurement can identify problems that need fixing and activities that have positive impacts. DOE traditionally produces high-quality work. Quality, however, can always be improved. This is an implicit goal within DOE. Developing and using performance measurement in the Department and aggregating measures for use at higher DOE ...
Wanted: A better measure of productivity performance in mining. The surge in demand for metals and minerals in the early 2000s quickly translated into much higher prices and, with it, much increased miners' profitability. Boosting production volumes became the industry's top priority.
Abstract: In this paper, we present an empirical study to measure the performance of a salt refinery named Seif cooperative mining.The study uses Political–Economical-Social– Technological Analysis (PEST) technique to evaluate opportunities and threats associated with external as well as internal factors influencing the firm.
The individual who is responsible for the measure will be able to influence the resources dedicated to improving the measure. Step 4: Monitor and report on the KPIs. Finally, it's necessary to continually review your KPIs and their performance on a monthly, quarterly, or other predefined reporting frequency.
It turns out that benchmarking crypto mining performance is a little harder than it looks. This is because of the many different algorithms employed and artificial changing artificial difficulty in mining. Matters are further complicated by the fact that mining is possible using …
Measuring performance allows the review of an industry or organisation's safety and health performance over time. This may identify trends or clusters of incidents that can be tackled to prevent workplace deaths, injury and disease. Safety performance information also provides feedback on the effectiveness of controls and systems of work ...
The All Inclusive Sustainable Cost ("AISC") is a very poor measure for evaluating mining company's relative performance. Without a strict definition, mining companies can manipulate the measure.
In this blog we will discuss some ways of measuring the performance of a classification model, using as an example an analysis we carried out for Mid Essex NHS Trust. In that analysis we built a regression model to predict the probability of success when extubating intensive care patients, and identified a threshold probability beyond which a ...
Performance measurement in manufacturing industry is usually measured with the approach of OEE (Overall Equipment Effectiveness). In the mining industry, backhoe excavator performance …
There are majorly two types of measures to assess the clustering performance. (i) Extrinsic Measures which require ground truth labels. Examples are Adjusted Rand index, Fowlkes-Mallows scores, Mutual information based scores, Homogeneity, Completeness and V-measure. (ii) Intrinsic Measures that does not require ground truth labels. Some of the ...
When measuring performance across organizations belonging to a similar context, it is the human capital that acts as one of the distinguishing factors. The resource-based theory (RBT) is used by many researchers to identify human capital as being a significant indicator of organizational performance, especially, in deriving a competitive ...
Data science is booming, and so are problems in biological data analysis, forecasting, financial analysis, the retail industry, fraud detection, intrusion detection, image classification, text mining, and many other areas. Evaluating the performance of a data mining technique is a fundamental aspect of machine learning.
Hypothesis testing: t-statistic and p-value.The p value and t statistic measure how strong is the evidence that there is a non-zero association. Even a weak effect can be extremely significant given enough data.
Performance Evaluation. Performance evaluation plays a dominant role in the technique of predictive modelling. The performance of a predictive model is calculated and compared by choosing the right metrics. So, it is very crucial to choose the right metrics for a particular predictive model in order to get an accurate outcome.
The mining industry is a key case study because its products are essential to the fabric of modern life: manufacturing, engineering, construction, healthcare, transportation, and home appliances are all dependent on mining products and mining supply chains. Most of the technological fixes to climate change also depend on mining products.
Most Wall Street analysts and investors tend to focus on return on equity as their primary measure of company performance. Many executives focus …
This video explains about the various classification methods of data mining to measure the performance of the students using the grades obtained in four seme...
Designing and developing a robust supplier performance assessment system requires in-depth business knowledge, familiarity with high-performance systems, and expertise of measurement methodologies. Furthermore, it also requires expertise in adequately constructing the questions to elicit accurate responses and correctly measure performance.
Measuring the Immeasurable: Scoring ESG Factors ... whereby a few low-scoring sub-industries, such as coal mining, are eliminated, while the remaining portfolio is constructed using an intra-sector model. ... It should not be assumed that investment decisions made in the future will be profitable or will equal the performance of the securities ...
Classification accuracy is the total number of correct predictions divided by the total number of predictions made for a dataset. As a performance measure, accuracy is inappropriate for imbalanced classification problems. The main reason is that the overwhelming number of examples from the majority class (or classes) will overwhelm the number of examples in the minority class, meaning …
12%Abstract. The output from platinum mining is typically pre-processed in concentration plants before further refinement downstream. Asset performance measurement is a concept which has not enjoyed as much attention in the mining industry as in, for example, the automobile industry and this gap leaves room for improvement in the mining industry.
Abstract. The output from platinum mining is typically pre-processed in concentration plants before further refinement downstream. Asset performance measurement is a concept which has not enjoyed as much attention in the mining industry as in, for example, the automobile industry and this gap leaves room for improvement in the mining industry.
Tools for Testing and Validation of Mining Models. Analysis Services supports multiple approaches to validation of data mining solutions, supporting all phases of the data mining test methodology. Partitioning data into testing and training sets. Filtering models to train and test different combinations of the same source data. Measuring lift ...
Key performance indicators are the 'indicators' which people and companies use to measure performance and progress towards certain goals. Key performance indicators or 'KPI's' have become increasingly popular in recent years as measuring these indicators with smarter tools and softwares has become easier and far more accurate.
performance is of great concern in the educational institutes where several factors may affect the performance. For prediction the three required components are: Parameters which affect the student performance, Data mining methods and third one is data mining tool. These Parameters may be psychological, personal, and environmental.
Performance Indicators and management systems for the mining, metals and energy sectors, working in partnership with major mining and oil companies, and a wide range of NGOs, government departments and leading academic institutions. The paper draws on this
"It's true that the availability of your equipment depends on the performance of proper maintenance and repair," explains Patrick Moan, Global Mining site support manager. "In order to understand if the maintenance and repair are being performed correctly, you need to measure.