2,223 research outputs found
An Adaptive Strategy for Wind Speed Forecasting Under Functional Data Horizon: A Way Toward Enhancing Clean Energy
An important issue in competitive energy markets is the accurate and efficient wind speed forecasting for wind power production. However, wind speed forecasting models developed for one location usually do not match the other site for various reasons like changes in terrain, different wind speed patterns, and atmospheric factors such as temperature, pressure, humidity, etc. Thus, introducing a flexible model that captures all the features is a challenging task. This paper proposes a functional data analysis (FDA) approach to forecast the site variant wind daily profiles with higher accuracy. Unlike the traditional methods, the FDA is more attractive as it forecasts a complete daily profile, and thus, forecasts can be obtained in the ultra-short period. To this end, the wind speed data is first filtered for extreme values. The filtered series is then divided into deterministic (Component-I) and stochastic (Component-II) components. Component-I is modeled and forecasted based on the generalized additive modeling technique. On the other hand, Component-II is modeled and forecasted using functional models such as functional autoregressive (FAR) and FAR with explanatory variables (FARX). For comparison purposes, forecasts from the traditional univariate autoregressive integrated moving average (ARIMA), seasonal ARIMA (SARIMA), SARIMA with exogenous information (SARIMAX), and neural network autoregressive (NNAR) models are also obtained. For empirical analysis, the wind speed data are obtained from the NASA power project for the site Canada located in Durham, England, and one-day-ahead out-of-sample forecasts are obtained for a complete year. The forecasting performance of different models is assessed through different accuracy measures, namely mean error, root mean squared error, mean absolute error, and mean absolute standard error. The results indicate that the functional models outperform the classical ARIMA, SARIMA, SARIMAX, and a deep learning model, NNAR. Within the functional models, the forecasting ability of the FARX is superior to FAR
Sample size determination for time-to-event endpoints in randomized selection trials with generalized exponential distribution
Randomized selection trials are frequently used to compare experimental treatments that have the potential to be beneficial, but they often do not include a control group. While time-to-event endpoints are commonly applied in clinical investigations, methodologies for determining the required sample size for such endpoints, except exponential distribution, are lacking. In recent times, there has been a shift in clinical trials, with a growing emphasis on progression-free survival as a primary endpoint. However, the utilization of this measure has typically been restricted to specific time points for both sample size determination and analysis. This alteration in approach could wield a substantial influence on the clinical trial process, potentially diminishing the capacity to discern variances between treatment groups. In the calculation of sample sizes for randomized trials, this investigation operates under the assumption that the time-to-event endpoint conforms to either an exponential, Weibull, or generalized exponential distribution
Unit Interval Time and Magnitude Monitoring Using Beta and Unit Gamma Distributions
Quick detection of an assignable cause is necessary for process accuracy with respect to the specifications. The aim of this study is to monitor the time and magnitude processes based on unit-interval data. To this end, maximum exponentially weighted moving average (Max-EWMA) control chart for simultaneous monitoring time and magnitude of an event is proposed. To be precise, beta and unit gamma distributions are considered to develop the Max-EWMA chart. The chart’s performance is accessed using average run length (ARL), the standard deviation of run length (SDRL), and different quantiles of the run length distribution through extensive Monte Carlo simulations. Besides a comprehensive simulation study, the proposed charting methodology is applied to a real data set. The results show that the proposed chart is more efficient in detecting small to medium-sized shifts. The results also indicate that simultaneous shifts are detected more quickly as compared to the pure shift
Estimating Passenger Car Equivalent Factors for Heterogeneous Traffic Using Occupancy-Density Linear Regression Model
A variety of methods have been proposed in the existing literature for the estimation of passenger car equivalent (PCE) factors. These methods are based on the comparison of selected attributes of different vehicles. This research, for the first time, utilizes the basic notion of the linear relationship between road area occupancy and density for the estimation of PCE factors for different vehicle types in heterogeneous traffic. Aerial photographs obtained from an unmanned aerial vehicle (UAV) were analyzed to estimate the road area occupancy and the number of vehicles classified in seven selected groups. A linear least-squares regression model was developed between road area occupancy and classified vehicle count. The coefficients of the occupancy-density linear regression model were used to estimate PCE and motorcycle equivalent (MCE) factors. The comparison of the estimated set of PCE values with the values reported in the literature shows that PCE factors estimated using the proposed method are reasonable and produce a better occupancy-density relationship than the other studies. In comparison with the existing methods that rely on lane-based measurements, the proposed method is well suited for traffic with weak/no lane discipline, as it considers the entire road width and the dynamics of lateral movement of different types of vehicles. The proposed method does not need extensive traffic data of speeds, headways, flow rates, and so forth, and is applicable on aerial photographs obtained from other sources, such as satellites.Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported with funding from Exascale Open Data Analytics Lab, National Center for Big Data and Cloud Computing (NCBC) and the Higher Education Commission of Pakistan.
Acknowledgments
The authors are thankful to research students Syed Hassan Ali, Haseeb Ahmed, Zohaib Ahmed, Aqib Abbasi, Asad Rehan, Mirza Ali Haider, Syed Abbas Hasan Zaidi, and Omema for their help in this research
Linguistic and extra-linguistic problems in the translation of the Holy Qur'an
This thesis is the first to study the English
translations of the : Holy Qur'an, and is mainly concerned
with the translators' approach in handling
the linguistic (lexical & syntactic) , and extra-linguistic
(variant readings & cultural ) problems of the text.
The works that are the subject of the study
are those of six English translators (Sale, Rodwell,
Palmer, Pickthall, Bell, and Arberry), as well as one
of a non-English Muslim translator from Pakistan (Maulana
Muhammad Ali).
The translators' renderings of the problematic
instances are compared with) the expositions of the
exegetes (whom the translators have been familiar with),
in order to investigate the commentators' influence
on the translators. The similarities between the
translators' renderings are also checked to find out
the degree of dependence between the translators.
The translators are found to be heavily reliant on
the exegetes. The degree of dependence between the
translators is found to be considerable. Some problems
have been resolved by means of- the context (i.e. the
text as a whole); whereas others are left unresolved.
The translations that have been studied are closer to
commentaries than the text. The main conclusion is
that the Holy Qur’an is untranslatable in the strict sense
Biography of the Mufti Sultanate in West Kalimantan: H. Muhammad Basiuni Imran (1885-1976 AD) and H. Ismail Mundu (1870-1957 AD)
H. Muhammad Basiuni Imran and H. Ismail Mundu are mufti or charismatic clerics who are popular now in the West Kalimantan area. Both lived contemporaneously, and their work in various scientific, social, and political fields has brought them to a level of popularity that is not only in the Malay Archipelago world but also in the Islamic world. Therefore, it is essential to study their biographies, starting with their family background, education, academic career, environment, and work. The method used is the historical method and comparative research. The results of this study are as follows 1) both mufti comes from religious family backgrounds, as seen from the childhood of H. Muhammad Basiuni Imran studied religion from his father, H. Muhammad Imran, while H. Ismail Mundu studied theology with his uncle, H. Muhammad bin H. Ali; 2) the two mufti used the Middle East as their intellectual space. It was seen that H. Muhammad Basiuni Imran performed the hajj and studied simultaneously in Mecca and Egypt, while H. Ismail Mundu performed the hajj three times and only studied in Mecca; 3) both multitasked with explaining to the public religious issues when H. Muhammad Basiuni Imran, as mufti in the Sultanate of Sambas, wrote Tafsir Tujuh Surah and Ayat as-Siyam as a response to the problems faced by the Malay community. Meanwhile, H. Ismail Mundu held the position of mufti in the Kubu Sultanate, writing Bugis translation of the holy book of the Qur’an as a response problem faced by the Bugis people
Istihsan (juristic preference) : the forgotten principle of Islamic law
EThOS - Electronic Theses Online ServiceGBUnited Kingdo
An analytical study of the theatre of the Syrian playwright Saadallah Wannous, with particular emphasis on the plays written after the 1967 war
This study is an examination of the life and work of
the Syrian dramatist Saadallah Wannous (1941-1997). Wannous's name is virtually unknown in the West; only two academic studies of any significance have appeared in English on this eminent and challenging writer, who was honoured by UNESCO at the end of his life. Even in the Arab world his standing rests largely upon his celebrity as a cultural icon, since professional performances of his plays are rare due to the decline of the theatre in the region, and little attention has been devoted to theatre studies by Arab academics. The two studies in English do not attempt to be comprehensive but focus on particular stages of Wannous's career. This study is, therefore, the first to encompass the full range of Wannous's work. To do so it combines an account of his life which seeks to comprehend the various forces that shaped his thinking with an analysis of his dramatic works. The study concentrates on the plays written in the years following the trauma inflicted on the Arab world by the catastrophe of their
defeat in the Arab-Israeli war of June, 1967. Wannous's career can be divided into three phases: the immature plays of his young manhood which are influenced by European models and generally focus on the social condition of the individual; his middle period - the `theatre of politicisation', when his Marxist politics were the main
factor shaping his drama; and his late works, which are characterised by an extraordinary freedom of thought and expression. The introduction places Wannous in his historical and sociocultural context and provides a brief background explaining the literary and theatrical traditions of the Arab world that influenced his activity as a dramatist. Each phase is then examined in turn and the plays are analysed in accordance with the focus of the study. This means that emphasis is given to the middle period,
but no significant work is neglected. The study aims to trace the trajectory of Wannous's development using a
variety of sources: the plays themselves, Wannous's own journalism and critical writings, interviews with his widow, his friends and colleagues, and numerous
journals, books and articles, some of which contain
important interviews with Wannous that shed light on his thought and ways of working. Use is also made of the
two studies mentioned above. The study shows that Wannous's theatre was influenced by the key political, social and cultural developments of his time, and that he
constantly sought to find forms that would express those transformations in dramatic terms
Analysis of Work Posture in Ismail Ali SMEs Using the NBM, REBA, and OWAS Methods
In Gresik Regency, there are SMEs such as Ismail Ali that sell products such as cement. In lifting and arranging cement, manual material handling is carried out. As a result, workers are at risk of back injury whose activities are not ergonomically appropriate, musculoskeletal disorders can arise. From these activities, the NBM analysis was carried out to determine the source of pain obtained on a Likter scale of 3 in the high risk level, the REBA method by involving the angle of the worker's posture obtained a score of 11 in the very high category, and the OWAS method by examining the effect of the load on the posture obtained a score of 3 in the high category. This research shows that lifting and arranging cement in Ismail Ali SMEs has a high risk of musculoskeletal disorders, seriously affecting health and work productivity. The results of the analysis using the NBM, REBA, and OWAS methods, found that non-ergonomic work positions cause serious injuries if not addressed immediately. Therefore, industries need to implement corrective measures such as scheduled breaks, stretching, improved work postures, worker rotation to reduce the risk of injury, increase efficiency, and prevent human error due to fatigue
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