Showing 1-25 of 7,560 resultsfor "Index Terms":Rs Values
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RJoules: An Energy Measurement Tool for R
2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)
Year: 2023 | Conference Paper |
With the exponential growth of data, the demand for effective data analysis tools has increased significantly. R language, known for its statistical modeling and data analysis capabilities, has become one of the most popular programming languages among data scientists and researchers. As the importance of energy-aware software systems continues to rise, several studies investigate the impact of so...Show More
Outlier detection in distribution companies business using real data set
IEEE EUROCON 2019 -18th International Conference on Smart Technologies
Year: 2019 | Conference Paper |
Cited by: Papers (1)
Outlier detection represents the problem of finding patterns in data that does not fit in expected behaviour. In this paper, outlier detection is done over real transactional data set of the distribution company. Outlier detection is done over time-series data, and over an ordered number of products that can be found within transactions. Unsupervised techniques and methods, S-H-ESD and LOF, are ap...Show More
Integrated energy flow analysis in natural gas and electricity coupled systems
Alberto Martínez-Mares;Claudio R. Fuerte-Esquivel;Instituto de Ingeniería
The restructuring of energy markets has increased the concern about the existing interdependency between the primary energy supply and electricity networks, which are analyzed traditionally as independent systems. The aim of this paper is focused on an integral formulation for the steady-state analysis of electricity and natural gas coupled systems considering the effect of temperature in the natu...Show More
Classification and Success Investigation of Biomedical Data Sets Using Supervised Machine Learning Models
2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
Nowadays, information technologies are used in almost every field of Computer Science and Engineering. One of the most used areas is the health sector. With the use of digital hospital systems, patient data is now stored in a computerized environment, thereby creating biomedical data sets. These datasets, which are very large in size, are very difficult to analyze and interpret by a human. The mac...Show More
Using a selected machine learning method in the R language in statistics learning
2023 21st International Conference on Emerging eLearning Technologies and Applications (ICETA)
Year: 2023 | Conference Paper |
The Bootstrap method, alternatively referred to as bootstrapping, is a statistical approach employed to assess the reliability of statistical estimations and models. Importantly, it accomplishes this without assuming that the data originates from a specific probability distribution. This study aimed to elucidate fundamental statistical concepts, with a particular emphasis on the realm of estimatin...Show More
Usage of R Language for Universal Calculations and Simulations
2021 3rd International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)
Year: 2021 | Conference Paper |
in this article we discuss the usage of modern R programming language for educational and scientific calculations. This language is very popular in data science, mathematical statistics and other calculations. Here we start with static RMarkdown documents including Markdown markup and code written on R language in the same file. Then we consider dynamic applications named Shiny which contain R-cod...Show More
Identification of association rules in orders of distribution companies’ clients
IEEE EUROCON 2019 -18th International Conference on Smart Technologies
Year: 2019 | Conference Paper |
Cited by: Papers (2)
The identification of association rules is the problem of finding associations between different items in the same transactions. In this paper, performance comparison of different variants of Apriori, FP-Growth and ECLAT algorithms was performed over the real transactional data set of the distribution company by using R programming language and its appropriate packages, and the results obtained ar...Show More
Application of Preprocessing Techniques on the Dataset obtained from Education Sector to Predict Students’ Performance
2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon)
Year: 2024 | Conference Paper |
Preprocessing technique in Data Mining process is used to transform the raw data into the valid data to increase the consistency of information which improves the model’s prediction accuracy. In this research article, five preprocessing techniques such as 1. Finding attributes of dataset with high percentage of missing values, 2. Finding attributes of dataset with a single unique value, 3. Finding...Show More
Optimization of economic load dispatch for a microgrid using evolutionary computation
IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society
Year: 2011 | Conference Paper |
Cited by: Papers (26)
Economic load dispatch of a microgrid system is a highly nonlinear and multi-objective problem. The two objectives are minimizing the emission of the thermal generators and minimizing the total operating cost. This microgrid system consists of thermal generators, wind turbines and polymer electrolyte membrane (PEM) fuel cells. Two state-of-the-art multi-objective methods, strength pareto evolution...Show More
It has been reported in the literature on computational neuroscience that a rat's uncanny ability to dash back to a home position in the absence of any visual clues (or in total darkness, for that matter) may stem from its distinctive method of position representation. More specifically, it is hypothesized that the rat uses a multimodular method akin to residue number system (RNS), but with contin...Show More
Autoregressive Integrated Moving Average Model based Prediction of Bitcoin Close Price
2018 International Conference on Smart Systems and Inventive Technology (ICSSIT)
Year: 2018 | Conference Paper |
Cited by: Papers (10)
Analysis of any digital currency is performed for identifying and quantifying uncertainties, estimating their impact on results with real-time market value. Cryptocurrency, as an encrypted form of currencies which is used for shopping, investment, money transfer and in other purpose now days. Most popular use of Bitcoins are investment because its price was unexpectedly high in past few years (dat...Show More
ECG signal compression using data extraction and truncated singular value decomposition
2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)
Year: 2017 | Conference Paper |
Cited by: Papers (4)
In this paper a novel algorithm is used for compressing ECG data. The algorithm uses two techniques simultaneously to get a better compression of ECG data. Firstly Data extraction: a sampling technique based on a user defined threshold value is applied on ECG followed by Truncated Singular Value Decomposition. Changing the number of Singular Values higher compression can be achieved. The proposed ...Show More
Non Convex Clustering on Datasets with missing values and noise using EMBDBSCAN & EMBOPTICS
2018 International Conference on Computing, Power and Communication Technologies (GUCON)
Year: 2018 | Conference Paper |
Non Convex Clustering over dataset with missing data is performed by integration of Non Convex clustering algorithms and choosing the best multiple missing value imputation with bootstrapping by Hopkins statistics. Dataset is imputed by Expectation Maximization with bootstrapping (EMB) multiple times. EMB helps in determining missing values, multiple imputation on same dataset yields multiple opti...Show More
Food Image Recognition and Calorie Prediction Using Faster R-CNN and Mask R-CNN
Elena Denny Cherpanath;P R Fathima Nasreen;Karthika Pradeep;Malavika Menon;V S Jayanthi
2023 9th International Conference on Smart Computing and Communications (ICSCC)
Year: 2023 | Conference Paper |
Cited by: Papers (13)
Due to the increasing number of health issues related to obesity and overeating, people are more aware of their dietary habits to prevent conditions such as hypertension, diabetes, and heart disease that are linked to obesity. According to the World Health Organization (WHO), at least 2.8 million people die every year due to being overweight or obese. A healthy diet plan typically involves control...Show More
Developing a Multiple Testing Procedure in the D-Posterior Approach using the R Software Environment
2020 IEEE East-West Design & Test Symposium (EWDTS)
Year: 2020 | Conference Paper |
The article provides a method for developing a statistical criterion that satisfies given restrictions on the average proportion of wrong decisions, similar to the concept of pFDR in multiple testing. The statistical criterion uses programming capabilities in the R environment. The advantages of this method are shown in comparison with the Benjamini-Hochberg procedure.Show More
Monthly electricity consumption forecast of the park based on hybrid forecasting method
2021 China International Conference on Electricity Distribution (CICED)
Year: 2021 | Conference Paper |
Cited by: Papers (8)
Along with the forecast of electricity consumption can provide the basis for the power supply enterprise to control the electricity sale market, at the same time, it can make scientific planning and guidance to the generating capacity of the electric power company, in the future development and planning of distribution network, under the the new electric power reform,the park has become an importa...Show More
Parallel Implementation of Motif-Based Clustering for HT-SELEX Dataset
Takayoshi Ono;Shintaro Kato;Koichi Ito;Hirotaka Minagawa;Katsunori Horii;Ikuo Shiratori;Iwao Waga;Takafumi Aoki
2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)
Year: 2019 | Conference Paper |
A clustering method for high-throughput sequencing with SELEX pools (HT-SELEX) is crucial for selecting different types of aptamer candidates. The fast and accurate clustering method is indispensable for an enormous sequence data produced by HT-SELSEX. We have already developed a fast motif-based clustering (FMBC) method for HT-SELEX data implemented by R language. FMBC exhibited high accuracy of ...Show More
With the technologies proliferation for Internet, such as cloud computing, mobile devices, social media and the internet of things, small and medium enterprises, despite their smaller size, less revenue and small number of employees cannot operate with less information. There are many opportunities for these organizations however, additional tools are needed to generate potential value from these ...Show More
Data Analytics on Price Prediction of Travelling Package using Regression Models
Ezzatul Akmal Kamaru Zaman;Nur Athirah Azirah Binti Rahmat;Azlin Ahmad;Nur Huda Nabihan Md Shahri;Mohd Najib Ismail
2019 1st International Conference on Artificial Intelligence and Data Sciences (AiDAS)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
Travel agencies set new prices on travel packages based on their experiences by analyzing the trend on holiday and festive season. However, they find it hard to set and predict exact travel packages with minimum prices to be offered for the upcoming years. Prices keep changing due to other reasons rather than the holiday and festive season. This research paper applied data analytics which is divid...Show More
Distributed computation of the average of multiple time-varying reference signals
Proceedings of the 2011 American Control Conference
Year: 2011 | Conference Paper |
Cited by: Papers (9)
We present a distributed discontinuous control algorithm for a team of agents to track the average of multiple time-varying reference signals with bounded derivatives. We use tools from nonsmooth analysis to analyze the stability of the system. For time-invariant undirected connected network topologies, we prove that the states of all agents will converge to the average of the time-varying referen...Show More
Synthesis of 12-lead ECG from a reduced lead set using singular value decomposition
2015 IEEE Power, Communication and Information Technology Conference (PCITC)
Year: 2015 | Conference Paper |
Cited by: Papers (2)
This paper presents synthesis of 12-lead Electrocardiogram (ECG) from a reduced set of leads. A patient-specific 12-lead ECG is trained using the Singular Value Decomposition (SVD) for minimum of three beat periods. Then, in the testing stage, different reduced lead sets comprising of three leads are used to reconstruct all other leads. The singular value matrix of the reduced 3-lead data is trans...Show More
A Zero Padding SVD Encoder to Compress Electrocardiogram
2009 Data Compression Conference
Year: 2009 | Conference Paper |
A new method to compress electrocardiogram (ECG) signals, whose novelty is related to the choice of an appropriate basis of representation for each ECG, is proposed in this paper. The ZPSVD method is compared to the method presented, which is an ECG compression method based on the application of the SVD and presents good results. The experiments have shown that the ZPSVD method yields better compr...Show More
Fast approach for automatic data retrieval using R programming language
Tran Duc Chung;Rosdiazli Ibrahim;Sabo Miya Hassan;Nurfatihah Syalwiah Rosli
2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)
Year: 2016 | Conference Paper |
Cited by: Papers (3)
The development of big data analytics in recent years has enabled wide use of analysis tools such as R in various industries including robotics and automation. Its most recent reported application for data analysis is limited to only a small dataset and the processing time was not reported. Thus, this work proposes a fast approach for automatic data retrieval using R, a powerful programming langua...Show More
Accounting Disclosure : Impact on Equity Share Investment – An Evidence Based Analysis
2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
Year: 2021 | Conference Paper |
This research study finds the relationship between accounting information and equity share investment in listed companies on the Johannesburg Stock Exchange. The main goal of this study is to establish the effect of financial accounting information on the equity share investment of companies listed on the Johannesburg Stock Exchange. Precisely, the study finds the effect of earnings per share, boo...Show More
Improving the transient frequency response of unintentional islands via local optimal controllers
8th International Conference on Advances in Power System Control, Operation and Management (APSCOM 2009)
Year: 2009 | Conference Paper |
This paper uses modern control as a tool to ensure the sustainability of the formed islands after uncontrollable system separation. It focuses on islands with excess generation. This paper uses the optimal control, specifically the linear quadratic regulator methodology, to design a new local power plant controller capable of improving the transient frequency response of thermal power plants. The ...Show More
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