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Citation - WoS: 49
Citation - Scopus: 53
Advanced exergoeconomic evaluation of a heat pump food dryer
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2014) Zafer Erbay; Arif Hepbasli; Hepbasli, Arif; Erbay, Zafer
In this study the results of conventional and advanced exergoeconomic analyses of the performance of a pilot scale air-source heat pump food dryer were compared for the first time. The contributions of the components of the drying system to the exergetic cost effectiveness of the dryer were evaluated and the effects of changing the inlet drying temperature were determined. The most important system component was determined to be the heat recovery unit followed by the condenser with respect to the reducing potentials for the total costs of the overall system. Decreasing temperature caused an increase in the cost performance of drying. The modification of the system components for improving the efficiency of the system can be effectively determined through advanced exergoeconomic approach by stating the realistic potential improvements and the priorities in the system. (c) 2014 IAgrE. Published by Elsevier Ltd. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 2
Multi-timescale boosting for efficient and improved event camera face pose alignment
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2023) Arman Savran; Savran, Arman
The success of event camera (EC) vision in certain types of applications has been steadily shown thanks to energy-efficient sparse sensing high dynamic range and extremely high temporal resolution. However the utilization of ECs for facial processing tasks has remained rather limited. To enable high energy efficiency for large face pose alignment which is a crucial facial pre-processing stage we aim at leveraging EC by effective adaptation of the processing rate proportional to facial movement intensity. For this purpose we propose a novel alternative to the commonly employed constant time frame and event count frame strategies which combines their advantages and provides the benefits of supervised learning. This is realized by a multi-timescale boosting framework that can generate highly sparse pose-events at a variable rate via detection-based online timescale selection. Although detectors of multiple scales with boosted sensitivities operate as a cascade our method provides minimal delay essential for real-time applications. Comprehensive evaluations show that the proposed multi-timescale processing substantially improves the performance-efficiency trade-off over singletimescale frames and markedly over event count frames. Mega-floating-point-operations-per-second ranges from 2.5 at the moderate motion clips to 6.5 at the intense motion clips with negligible computation in the absence of activity. Also alignment errors are considerably reduced by online selection of small timescales at fast head motion and of bigger timescales at slower motion or local activity of lips and eyes. Being orthogonal and complementary to spatial domain techniques the proposed approach can also be conveniently integrated with future advances for further performance/efficiency improvements or for alignment extensions.
Multiple kernel fusion: A novel approach for lake water depth modeling
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2023) Mir Jafar Sadegh Safari; Shervin Rahimzadeh Arashloo; Babak Vaheddoost
Multiple kernel fusion (MKF) refers to the task of combining multiple sources of information in the Hilbert space for improved performance. Very often the combined kernel is formed as a linear composition of multiple base kernels where the combination weights are learned from the data. As the first application of an MKF approach in hydrological modeling lake water depth as one of the pivot factors in the reservoir analysis is simulated by considering different hydro-meteorological variables. The role of each individual input parameter is initially investigated by applying a kernel regression approach. We then illustrate the utility of an MKF formalism which learns kernel combination of weights to yield an optimal composition for kernel regression. A set of 40-year data collected from 27 groundwater and streamflow stations and 7 meteorological stations for precipitation and evaporation parameters in the vicinity of Lake Urmia are utilized for model development. Both visual and quantitative statistical performance criteria illustrate a superior performance for the MKF approach compared to kernel ridge regression (KRR) the support vector regression (SVR) back propagation neural network (BPNN) and auto regressive (AR) models. More specifically while each individual input parameter fails to provide an accurate prediction for lake water depth modeling an optimal combination of all input parameters incorporating the groundwater level streamflow precipitation and evaporation via a multiple kernel learning approach enhances the predictive performance of the model accuracy in the multiple scenarios. The promising results (RMSE = 0.098 m, R2 = 0.987, NSE = 0.986) may motivate the application of a MKF approach towards solving alternative and complex hydrological problems.
Poor modules with no proper poor direct summands
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2018) Rafail Alizade; EngIn Buyukasik; Sergio R. Lopez-Permouth; Liu Yang
As a mean to provide intrinsic characterizations of poor modules the notion of a pauper module is introduced. A module is a pauper if it is poor and has no proper poor direct summand We show that not all rings have pauper modules and explore conditions for their existence. In addition we ponder the role of paupers in the characterization of poor modules over those rings that do have them by considering two possible types of ubiquity: one according to which every poor module contains a pauper direct summand and a second one according to which every poor module contains a pauper as a pure submodule. The second condition holds for the ring of integers and is just as significant as the first one for Noetherian rings since in that context modules having poor pure submodules must themselves be poor. It is shown that the existence of paupers is equivalent to the Noetherian condition for rings with no middle class As indecomposable poor modules are pauper we study rings with no indecomposable right middle class (i.e. the ring whose indecomposable right modules are pauper or injective). We show that semiartinian V-rings satisfy this property and also that a commutative Noetherian ring R has no indecomposable middle class if and only if R is the direct product of finitely many fields and at most one ring of composition length 2. Structure theorems are also provided for rings without indecomposable middle class when the rings are Artinian serial or right Artinian. Rings for which not having an indecomposable middle class suffices not to have a middle class include commutative Noetherian and Artinian serial rings. The structure of poor modules is completely determined over commutative hereditary Noetherian rings. Pauper Abelian groups with torsion-free rank one are fully characterized. (C) 2018 Elsevier Inc. All rights reserved.
Citation - WoS: 19
Citation - Scopus: 19
Rings and modules characterized by opposites of injectivity
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2014) Rafail Alizade; Engin Buyukasik; Noyan Er; Er, Noyan; Alizade, Rafail; Buyukasik, Engin
In a recent paper Aydogdu and Lopez-Permouth have defined a module M. to be N-subinjective if every homomorphism N -> M extends to some E(N) -> M where E(N) is the injective hull of N. Clearly every module is subinjective relative to any injective module. Their work raises the following question: What is the structure of a ring over which every module is injective or subinjective relative only to the smallest possible family of modules namely injectives? We show using a dual opposite injectivity condition that such a ring R is isomorphic to the direct product of a semisimple Artinian ring and an indecomposable ring which is (i) a hereditary Artinian serial ring with J(2) = 0, or (ii) a QF-ring isomorphic to a matrix ring over a local ring. Each case is viable and conversely (i) is sufficient for the said property and a partial converse is proved for a ring satisfying (ii). Using the above mentioned classification it is also shown that such rings coincide with the fully saturated rings of Trlifaj except possibly when von Neumann regularity is assumed. Furthermore rings and abelian groups which satisfy these opposite injectivity conditions are characterized.
Role of financial development for sustainable economic development in low middle income countries
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2022) Ahmed Imran Hunjra; Muhammad Azam; Maria Giuseppina Bruna; Dilvin Taskin
This paper investigates the impact of financial development on sustainable economic development (SED) in low-middle-income countries. It adopts an unbalanced panel data approach on 50 low-and middle-income countries over the period of 1991-2020. We apply Fixed Effects (FE) the Feasible Generalized Least Squares (FGLS) and Bootstrap Panel Quantile Regression to analyze the results. We find that sustainable economic development is positively affected by financial development natural resource abundance international tourism trade openness and foreign direct investment. Additionally financial development plays a positive moderating role through natural resource abundance. Foreign direct investment (FDI) also enjoys a positive moderating role through international tourism. The Bootstrap Quantile outcomes point out the diversified effects of the addressed variables at different quantiles. Accordingly it is crucial to consider financial development alongside socioeconomic variables such as trade openness aging population and FDI to identify and address sustainable economic development issues.
Citation - WoS: 21
Citation - Scopus: 26
The volatility connectedness between agricultural commodity and agri businesses: Evidence from time-varying extended joint approach
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2023) Efe Caglar Cagli; Pinar Evrim Mandaci; Dilvin Taskin; Taskin, Dilvin; Mandaci, Pinar Evrim; Cagli, Efe Caglar
This paper investigates the volatility connectedness between ten major agribusiness common stock prices and various agricultural commodity prices between August 11 2005 and November 4 2022. We employ the time-varying parameter vector autoregressions (TVP-VAR) extended joint connectedness framework. The results show that agribusiness stocks are net volatility transmitters whereas agricultural commodities are net volatility receivers. The results provide significant implications for investors and policymakers concerned with commodity prices.
To diversify or not to diversify internationally?
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2022) Mehmet Umutlu; Seher Goren Yarg
Using alternative measures of return correlations we show that neither industry nor country correlations exhibit an ever-increasing trend. Instead correlations jump during recessions with a tendency to revert in stable periods. This keeps international diversification still important despite the financial integration that might have increased correlations permanently. Moreover the mean of industry correlations is statistically lower than that of country correlations sug-gesting that cross-industry diversification is more efficient. Finally diversifying through in-dustries of emerging markets rather than those of developed markets reduces mean correlations more. These results are robust to several correlation definitions.

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