Journal articles: 'I3 Model'

1

Massa, Andrea A., Molly A. Maloney, and Christopher I. Eckhardt. "Interventions for Perpetrators of Intimate Partner Violence: An I3 Model Perspective." Partner Abuse 11, no. 4 (October 1, 2020): 437–46. http://dx.doi.org/10.1891/pa-2020-0031.

Full text

Abstract:

The Instigating-Impelling-Inhibiting model of intimate partner violence (IPV) etiology, or “I3 Model,” is presented as a meta-theoretical alternative to traditional perspectives regarding treatment models for perpetrators of IPV. The I3 Model is a meta-theoretical approach to understanding IPV risk that, when applied to IPV intervention programs, incorporates practically any therapeutic component that aims to decrease individual's exposure to instigating contexts, target any individual or situational factor that impels IPV, and increase an individual's ability to inhibit an aggressive response. In this review, we first briefly summarize the IPV literature and existing intervention models. Second, we review the I3 Model and illustrate its promise as a guiding framework for understanding IPV risk and its broad relevance to etiology and intervention. Third, we discuss the conceptual application of this framework to intervention with IPV perpetrators. Fourth, we identify factors that may promote as well as complicate I3 Model-related intervention developments.

APA, Harvard, Vancouver, ISO, and other styles

2

Ji, Yuan, and Meizi Liu. "The i3+3 design for phase I clinical trials." Journal of Clinical Oncology 37, no. 15_suppl (May 20, 2019): 3066. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.3066.

Full text

Abstract:

3066 Background: Other than the 3+3 design, new model-based statistical designs like the mTPI design (Ji and Wang, 2013, JCO) are alternative choices for oncology dose-finding trials, including immune oncology dose-finding trials (Atkins et al., 2018, Lancet Oncology). One major criticism of the 3+3 design is that it is based on simple rules, does not depend on statistical models for inference, and leads to unsafe and unreliable operating characteristics. However, the rule-based nature allows 3+3 to be easily understood and implemented in practice, making it practically attractive and friendly. Can friendly rule-based designs achieve great performance seen in model-based designs? For four decades, the answer has been NO. Methods: We propose a new rule-based design called i3+3, where the letter "i" represents the word "interval". The i3+3 design is based on simple but more clever rules that account for the variabilities in the observed data. In short, the i3+3 design simply asks clinicians to compare observed toxicity rates with a prespecified toxicity interval, and make dose escalation decisions according to three simple rules. No sophisticated modeling is needed and the entire design is transparent to clinicians. Results: We compare the operating characteristics for the proposed i3+3 design with other popular phase I designs by simulation. The i3+3 design is far superior than the 3+3 design in trial safety and the ability to identify the true MTD. Compared with model-based phase I designs, i3+3 also demonstrates comparable performances. In other words, the i3+3 design possesses both simplicity and transparency of the rule-based approaches, and the superior operating characteristics seen in model-based approaches. An online R Shiny tool is provided to illustrate the i3+3 design, although in practice it requires no software to design or conduct a dose-finding trial using the design. Conclusions: The i3+3 design could be a practice-altering method for the clinical community. It may increase the safety and efficiency of dose finding trials.

APA, Harvard, Vancouver, ISO, and other styles

3

Esterhuysen, Catharine, Ferdinand Groenewald, Gamra Elgadi, and Jan Dillen. "Influence of the electrostatic environment on I3-···I3- and related I–M–I···I–M–I interactions." Acta Crystallographica Section A Foundations and Advances 70, a1 (August 5, 2014): C652. http://dx.doi.org/10.1107/s2053273314093474.

Full text

Abstract:

Non-covalent interactions in crystals are notoriously difficult to calculate accurately [1], due to the poor computational description of dispersion, which is often an important component of such interactions. This is particularly true for I3-···I3- interactions, which are observed in crystal structures despite the strong electrostatic repulsion between two negatively charged species [2]. Similarly, related metal-iodides exhibit I–M–I···I–M–I interactions. In an effort to explain this phenomenon a thorough Cambridge Structural Database (CSD) analysis and theoretical study of the triiodide ion, metal-iodides and I···I interactions within dimers of these species in a variety of environments is presented here. Optimisations in the gas phase and in an implicit polarisable continuum solvent model with several different solvents show that there is a significant dependence of the I3-···I3- interaction energy on the dielectric constant. The MP2/cc-pVTZ-pp level of theory comes closest to reproducing the I3- bondlength and the I3-···I3-intermolecular distance averages obtained from the Cambridge Structural Database (CSD). DFT methods are in general not as successful since they do not correctly model dispersion, however, the PBE method used in conjunction with Grimme's D2 dispersion correction [3] yields an interaction energy which is less than 2% from the CCSD/aug-cc-pVTZ-pp// MP2/cc-pVTZ-pp result. The Electrostatic Surface Potential (ESP) of the I3- ion in the gas phase, chloroform, ethanol, water and n-methyl-formamide-mixture can be used as a gauge of the influence of the electrostatic environment on the properties of both the I3- ion and the I3-···I3- interaction, or similarly I-M-I···I-M-I interactions. This information can then be used to extrapolate to obtain a value for the strength of the I···I inter-ion interaction energy in the solid state in a variety of complexes.

APA, Harvard, Vancouver, ISO, and other styles

4

Robertson, Katherine N., T. Stanley Cameron, and Osvald Knop. "Polyhalide anions in crystals. Part 2. I3−asymmetry and N—H … I bonding: triiodides of the Me2NH2+, Ph2I+, tropanium, N,N,N′,N′-Me4-1,2-ethanediammonium, N,N,N′,N′-Me4-1,3-propanediammonium, N-Me-piperazinium(2+), and N,N′-Me2-piperazinium(2+) cations, and Me2NH2I." Canadian Journal of Chemistry 74, no. 8 (August 1, 1996): 1572–91. http://dx.doi.org/10.1139/v96-174.

Full text

Abstract:

Crystal-structure determinations are reported for Me2NH2I3, (Ph2I)I3, tropanium-I3, [Me2HN(CH2)2NHMe2](I3)2, [Me2HN(CH2)3NHMe2](I3)2, (N-Me2-piperazinium) (I3)2•H2O, (N,N′-Me2-piperazinium)(I3)2, and Me2NH2I. The features of these and relevant literature structures are used to (1) classify triiodide structures by their ion-packing types; (2) analyze the relationship between the two I—I bond lengths d and d* in the I3− anion; and (3) examine the effect of N—H(N)… I hydrogen bonding on the symmetry of the I3− anion. It is found that the d,d* relationship can be represented to a high degree of correlation by the power function d* − d0 = K(d − d0)−c (d* ≥ d,d0 = d(I—I) in I2(g)) based on the 3c4e model of the anion. An empirical correlation is shown to exist between the H(N)… I and N … I distances both for unbranched and branched N—H(N)… I bonds. Comparison of the degree of asymmetry of I3− in two samples, one containing H-bonded I3− anions, the other with H-bonding absent, leads to the conclusion that while H-bonding is a factor affecting I3− symmetry, it is not a preferential factor. The four 1:2 title triiodides have structures of, or related to, the CdI2 type, in which the anions form infinite pseudo-hexagonal channels. The positioning of the divalent cations on the axes of these channels gives rise to an interesting "vernier" effect governed by the cation length and H-bonding ability. Bonding in centrosymmetric I4 rings in (Ph2I)I3 and (Ph2I)I is examined. Key words: crystal structures, hydrogen bond, iodine–iodine bonds, polyhalide anions, triiodides.

APA, Harvard, Vancouver, ISO, and other styles

5

Drushel, Richard F., Greg P. Sutton, David M. Neustadter, Elizabeth V. Mangan, Benjamin W. Adams, Patrick E. Crago, and Hillel J. Chiel. "Radula-centric and odontophore-centric kinematic models of swallowing inAplysia californica." Journal of Experimental Biology 205, no. 14 (July 15, 2002): 2029–51. http://dx.doi.org/10.1242/jeb.205.14.2029.

Full text

Abstract:

SUMMARYTwo kinematic models of the radula/odontophore of the marine mollusc Aplysia californica were created to characterize the movement of structures inside the buccal mass during the feeding cycle in vivo. Both models produce a continuous range of three-dimensional shape changes in the radula/odontophore, but they are fundamentally different in construction. The radulacentric model treats the radular halves as rigid bodies that can pitch, yaw and roll relative to a fixed radular stalk, thus creating a three-dimensional shape. The odontophore-centric model creates a globally convex solid representation of the radula/odontophore directly, which then constrains the positions and shapes of internal structures. Both radula/odontophore models are placed into a pre-existing kinematic model of the I1/I3 and I2 muscles to generate three-dimensional representations of the entire buccal mass. High-temporal-resolution, mid-sagittal magnetic resonance(MR) images of swallowing adults in vivo are used to provide non-invasive, artifact-free shape and position parameter inputs for the models. These images allow structures inside the buccal mass to be visualized directly, including the radula, radular stalk and lumen of the I1/I3 cavity. Both radula-centric and odontophore-centric models were able to reproduce two-dimensional, mid-sagittal radula/odontophore and buccal mass kinematics,but the odontophore-centric model's predictions of I1/I3, I2 and I7 muscle dimensions more accurately matched data from MR-imaged adults and transilluminated juveniles.

APA, Harvard, Vancouver, ISO, and other styles

6

Yanagisawa, Susumu, and Shozo Yanagida. "Density Functional Theory-Based Molecular Modeling: Verification of Decisive Roles of Van der Waals Aggregation of Triiodide Ions for Effective Electron Transfer in Wet-Type N3-Dye-Sensitized Solar Cells." Energies 13, no. 11 (June 11, 2020): 3027. http://dx.doi.org/10.3390/en13113027.

Full text

Abstract:

Density functional theory-based molecular modeling (DFT/MM) validates that KI and I2 undergo exothermic van der Waals (vdW) aggregation in acetonitrile (AN) or in the presence of 4-tert-butylpyridine (TBP), forming potassium triiodide (KI3) and, further mutual vdW aggregation leads to the formation of (KI3)2 and AN, (KI3)2 and (AN)2 and (KI3)2 and TBP in the AN-based Dye sensitized solar cells (DSSC) electrolytes. All KI3 aggregates have a very low energy gap, 0.17 eV, 0.14 eV and 0.05 eV of lowest unoccupied molecular orbital (LUMO) + 1 and LUMO, respectively, verifying efficient electron diffusion in μm-thick DSSC electrolytes. Hydrogen-bonding aggregation of anatase TiO2 model, Ti9O18H and OH, with N3 (proton) dye is also validated by DFT/MM, and the energy structure verifies unidirectional electron flow from highest occupied molecular orbital (HOMO) on thiocyanide (SCN) groups of N3 dye to LUMO on the TiO2 model at the aggregates. Further, DFT/MM for the aggregation of K+I3− with N3 verifies the most exothermic formation of the aggregate of N3 (proton) and K+I3−. The UV-Vis spectra of N3 (proton) and K+I3− is consistent with reported incident photocurrent efficiency (IPCE) action spectra (λ = 450–800 nm) of N3-sensitized DSSC, verifying that the N3 dye of N3 (proton) and K+I3− becomes an effective sensitizer in the anode / TiO2 / N3 (proton) / KI/I2 / acetonitrile (AN) / cathode structured DSSC. The energy structure of LUMO and LUMO + 1 of the aggregates, Ti9O18H and OH and N3 (proton), N3 and K+I3−, (KI3)2 and AN and (KI3)2 and TBP verifies high IPCE photocurrent and effective electron diffusion via KI3-aggregates in the DSSC of Ti9O18H and OH and N3 (proton) and K+I3−.

APA, Harvard, Vancouver, ISO, and other styles

7

Tsuchiizu, Masahisa, Yukiko Omori, Yoshikazu Suzumura, Marie-Laure Bonnet, Vincent Robert, Shoji Ishibashi, and Hitoshi Seo. "Multi-Orbital Molecular Compound (TTM-TTP)I3: Effective Model and Fragment Decomposition." Journal of the Physical Society of Japan 80, no. 1 (January 15, 2011): 013703. http://dx.doi.org/10.1143/jpsj.80.013703.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

ZHANG, Lu, Yuntena WU, and Tonglin JIN. "The expression mechanism of individual behavior in the perspective of I3 model." Advances in Psychological Science 29, no. 10 (2021): 1878. http://dx.doi.org/10.3724/sp.j.1042.2021.01878.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Engbers, Trent A. "Student Leadership Programming Model Revisited." Journal of Leadership Education 5, no. 3 (December 1, 2006): 1–14. http://dx.doi.org/10.12806/v5/i3/tf1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Packer, John E., and Robert F. Anderson. "The Iodine—Thiosulfate Reaction: a Pulse-Radiolysis Study and Spectrophotometric Evidence for the Intermediates I2S2O32- and IS203-." Australian Journal of Chemistry 50, no. 4 (1997): 435. http://dx.doi.org/10.1071/c97001.

Full text

Abstract:

Spectroscopic evidence for I2S2O32- and IS2O3-, postulated as intermediates in the iodine{thiosulfate reaction, has been obtained by using the technique of pulse radiolysis to oxidize iodide to I3- in the presence of thiosulfate. The spectra show blue shifts with respect to I3- and I2 respectively. The kinetics of the reaction over a range of concentrations different from those reported by Scheper and Margerum have also been studied and further evidence for their quantitative scheme has been obtained; a change predicted by their model, but not detected by them, in kinetic order in S2O32- at low thiosulfate and high iodide concentrations has been found.

APA, Harvard, Vancouver, ISO, and other styles

11

Lamm, Kevan W., Hannah Carter, Alexa Lamm, and Angie Lindsay. "Community Leadership: A Theory-Based Model." Journal of Leadership Education 16, no. 3 (July 1, 2017): 118–33. http://dx.doi.org/10.12806/v16/i3/t2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Koehler, Daniel, Ann-Kathrin Ozga, Isabel Molwitz, Philipp May, Hanna Maria Görich, Sarah Keller, Gerhard Adam, and Jin Yamamura. "Time series analysis of the demand for COVID-19 related chest imaging during the first wave of the SARS-CoV-2 pandemic: An explorative study." PLOS ONE 16, no. 3 (March 3, 2021): e0247686. http://dx.doi.org/10.1371/journal.pone.0247686.

Full text

Abstract:

Objectives The aim of this study was to investigate possible patterns of demand for chest imaging during the first wave of the SARS-CoV-2 pandemic and derive a decision aid for the allocation of resources in future pandemic challenges. Materials and methods Time data of requests for patients with suspected or confirmed coronavirus disease 2019 (COVID-19) lung disease were analyzed between February 27th and May 27th 2020. A multinomial logistic regression model was used to evaluate differences in the number of requests between 3 time intervals (I1: 6am - 2pm, I2: 2pm - 10pm, I3: 10pm - 6am). A cosinor model was applied to investigate the demand per hour. Requests per day were compared to the number of regional COVID-19 cases. Results 551 COVID-19 related chest imagings (32.8% outpatients, 67.2% in-patients) of 243 patients were conducted (33.3% female, 66.7% male, mean age 60 ± 17 years). Most exams for outpatients were required during I2 (I1 vs. I2: odds ratio (OR) = 0.73, 95% confidence interval (CI) 0.62–0.86, p = 0.01; I2 vs. I3: OR = 1.24, 95% CI 1.04–1.48, p = 0.03) with an acrophase at 7:29 pm. Requests for in-patients decreased from I1 to I3 (I1 vs. I2: OR = 1.24, 95% CI 1.09–1.41, p = 0.01; I2 vs. I3: OR = 1.16, 95% CI 1.05–1.28, p = 0.01) with an acrophase at 12:51 pm. The number of requests per day for outpatients developed similarly to regional cases while demand for in-patients increased later and persisted longer. Conclusions The demand for COVID-19 related chest imaging displayed distinct distribution patterns depending on the sector of patient care and point of time during the SARS-CoV-2 pandemic. These patterns should be considered in the allocation of resources in future pandemic challenges with similar disease characteristics.

APA, Harvard, Vancouver, ISO, and other styles

13

Palangi, Sahar, and Omid Bahmani. "Simulation of sugarcane yield under salinity and water stress conditions with the OPDM model." Water Supply 15, no. 5 (April 21, 2015): 948–57. http://dx.doi.org/10.2166/ws.2015.052.

Full text

Abstract:

Limitation of water resources and decline in the quality of soil and water have led to the use of saline water and application of management systems for reducing irrigation water. The subject of this study was to determine the effect of salinity and water stress on sugarcane yield in Iran with an operational and planning distribution model (OPDM) for 7 years (2002–2008). Irrigation scenarios consisted of the full irrigation (I1), 85% (I2) and 70% (I3) of the sugarcane water requirement, and salinity scenarios were the average salinity of the Karun River, S1 (dS m−1), S2 = S1 +2 and S3 = S1 +4. The root mean square error and mean bias error (0.04 and 0.02, respectively) show the low error percentages and the values of EF = 0.65 and d = 0.71 indicated the high accuracy of the yield simulation with OPDM. Significant differences were observed among the different irrigation levels and this difference in I3 was more than in I2. The effect of different salinity levels on yield reduction was not significant. Overall, results showed that there was an individual and combined effect of salinity and water deficit on sugarcane yield; however, the effect of different irrigation levels on the yield was more than the salinity.

APA, Harvard, Vancouver, ISO, and other styles

14

S, Mahesh D., Chandramouli H, and Sanjay R. Chitnis. "Adaptive uplink scheduling model for WiMAX network using evolutionary computing model." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 3 (June 1, 2019): 1345. http://dx.doi.org/10.11591/ijeecs.v14.i3.pp1345-1355.

Full text

Abstract:

the increased usage of smart phones has led to increase usage an internet based application services. These application requires different quality of service (QoS) and bandwidth requirement. WiMAX is an efficient network to provision high bandwidth connectivity and coverage to end user. To meet QoS requirement the exiting model used adaptive model selection scheme. However, these model induce bandwidth wastage as it does not considers any feedback information for scheduling. This work present an Adaptive Uplink Scheduling (AUS) by optimizing MAC layer using Multi-Objective Genetic Algorithm (MOGA). The MAC scheduler use feedback information from both physical layer and application layer. Further, to meet QoS requirement of application and utilize bandwidth efficiently this paper presented an adaptive modulation selection scheme based on user application requirement using MOGA. Our model provides application level based QoS provisioning for WiMAX network. Experiment are conducted to evaluate performance of AUS over exiting model. The overall result attained shows AUS model attain good performance in term of throughput, successful packet transmission and packet collision.

APA, Harvard, Vancouver, ISO, and other styles

15

Ilham, Barakat, Chtaina Noureddine, Grappin Philippe, El Guilli Mohammed, Ezzahiri Brahim, Aligon Sophie, Neveu Martine, and Marchi Muriel. "Induced Systemic Resistance (ISR) in Arabidopsis thaliana by Bacillus amyloliquefaciens and Trichoderma harzianum Used as Seed Treatments." Agriculture 9, no. 8 (August 1, 2019): 166. http://dx.doi.org/10.3390/agriculture9080166.

Full text

Abstract:

The Trichoderma fungal species and the bacteria Bacillus species were described as inducers of plant systemic resistance in relation to their antagonistic activity. The objective of this study was to evaluate the effect of selected strains of Bacillus amyloliquefaciens (I3) and Trichoderma harzianum (A) on inducing systemic resistance in Arabidopsis thaliana as a model for plant molecular genetics. The microorganisms were identified and were confirmed for their antagonistic potential in vitro and in vivo in previous studies. In order to explore this mechanism, two mutants of A. thaliana carrying a PR1 promoter (a conventional marker of salicylic acid (SA) pathway) and LOX2 promoter (a marker triggering jasmonic acid (JA) pathway activation) were analyzed after inoculating antagonists. Transgenic reporter line analysis demonstrated that B. amyloliquefaciens I3 and T. harzianum A induce A. thaliana defense pathways by activating SA and JA at a high level compared to lines treated with chemical elicitors of references (acibenzolar-S-methyl (Bion 50 WG (water-dispersible granule)), SA, and methyl jasmonate). The efficacy of B. amyloliquefaciens I3 and T. harzianum A in inducing the defense mechanism in A. thaliana was demonstrated in this study.

APA, Harvard, Vancouver, ISO, and other styles

16

Pourasad, Yaghoub. "Developing a Modified HMAX Model Based on Combined with the Visual Featured Model." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 3 (September 1, 2017): 773. http://dx.doi.org/10.11591/ijeecs.v7.i3.pp773-785.

Full text

Abstract:

Identify objects based on modeling the human visual system, as an effective method in intelligent identification, has attracted the attention of many researchers. Although the machines have high computational speed but are very weak as compared to humans in terms of diagnosis. Experience has shown that in many areas of image processing, algorithms that have biological backing had more simplicity and better performance. The human visual system, first select the main parts of the image which is provided by the visual featured model, then pays to object recognition which is a hierarchical operations according to this, HMAX model is also provided. HMAX object recognition model from the group of hierarchical models without feedback that its structure and parameters selected based on biological characteristics of the visual cortex. This model is a hierarchical model neural network with four layers, is composed of alternating layers that are simple and complex. Due to the high complexity of the human visual system is virtually impossible to replicate it. For each of the above, separate models have been proposed but in the human visual system, this operation is performed seamlessly, thus, by combining the principles of these models is expected to be closer to the human visual system and obtain a higher recognition rate. In this paper, we introduce an architecture to classify images based on a combination of previous work is based on the basic operation of the visual cortex. According to the results presented, the proposed model compared with the main HMAX model has a much higher recognition rate. Simulations was performed on the database of Caltech101.

APA, Harvard, Vancouver, ISO, and other styles

17

Aksenova, Tatyana I. "Convergence Rate Estimation of Criteria of Model Selection." Journal of Automation and Information Sciences 28, no. 3-4 (1996): 132–43. http://dx.doi.org/10.1615/jautomatinfscien.v28.i3-4.140.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Bezruk, V. M. "Recognition Methods Based on Autoregression Model of Signals." Telecommunications and Radio Engineering 58, no. 3-4 (2002): 8. http://dx.doi.org/10.1615/telecomradeng.v58.i3-4.20.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Abu-Tineh, Abdullah M., Samer A. Khasawneh, and Aieman A. Omary. "Kouzes and Posner’s Transformational Leadership Model in Practice." Journal of Leadership Education 7, no. 3 (December 1, 2009): 265–83. http://dx.doi.org/10.12806/v7/i3/rf10.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Drushel, R. F., D. M. Neustadter, I. Hurwitz, P. E. Crago, and H. J. Chiel. "Kinematic models of the buccal mass of Aplysia californica." Journal of Experimental Biology 201, no. 10 (May 15, 1998): 1563–83. http://dx.doi.org/10.1242/jeb.201.10.1563.

Full text

Abstract:

The feeding behavior of the marine mollusc Aplysia californica is an intensively studied model system for understanding the neural control of behavior. Feeding movements are generated by contractions of the muscles of the buccal mass. These muscles are internal and cannot be visualized during behavior. In order to infer the movements of the muscles of the buccal mass, two kinematic models were constructed. The first kinematic model assumed that the complex consisting of the pincer-like radula and the underlying odontophore was spherical in shape. In this model, the radula/odontophore was moved anteriorly or posteriorly and the more superficial buccal muscles (I1/I3 and I2) were fitted around it. Although the overall buccal mass shapes predicted by this model were similar to those observed in vivo during protraction, the shapes predicted during retraction were very different. We therefore constructed a second kinematic model in which the shape of the radula/odontophore was based on the shapes assumed by those structures in vitro when they were passively forced into protraction, rest or retraction positions. As each of these shapes was rotated, the second kinematic model generated overall shapes of the buccal mass that were similar to those observed in vivo during swallowing and tearing, and made predictions about the antero-posterior length of the buccal mass and the relative location of the lateral groove. These predictions were consistent with observations made in vivo and in vitro. The kinematic patterns of intrinsic buccal muscles I1 and I2 in vivo were estimated using the second model. Both models make testable predictions with regard to the functions and neural control of intrinsic buccal muscles I2 and I3.

APA, Harvard, Vancouver, ISO, and other styles

21

Mohd Yusof, Ernie Mazuin, Mohd Shahizan Othman, Lizawati Mi Yusuf, Shamini Raja Kumaran, and Ahmad Rizal Mohd Yusof. "A model of acceptance factors for business intelligence in manufacturing using theoretical models." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 3 (June 1, 2019): 1544. http://dx.doi.org/10.11591/ijeecs.v14.i3.pp1544-1551.

Full text

Abstract:

Manufacturing organizations implemented Business Intelligence (BI) due to many advantages offered by it. The lack of research on the acceptance of BI in manufacturing motivates the initiative in this study to have an understanding of the factors that influence the acceptance of BI in manufacturing sector. Therefore, the research proposes a model which indicates the acceptance factors of BI in manufacturing. An integrated model consisting of underlying models of Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT) and Task-Technology Fit (TTF) will be developed. The new model will formulate 19 hypotheses and 11 factors contributing to the continuance and acceptance of BI. The model will be tested using quantitative and qualitative survey conducted to Malaysian manufacturing companies and validated using Structural Equation Modelling (SEM) to investigate the causal and mediating relationships between the factors. The expected result is hoping to suggest that selected factors in the model are positively related towards the acceptance of BI in manufacturing. The results are also hoping to guide future initiatives by industrial practitioners to develop and distribute BI to the manufacturing market.

APA, Harvard, Vancouver, ISO, and other styles

22

Saljnikov, Aleksandar, Simeon N. Oka, M. Radovanovic, and M. Sijercic. "Pulverized Lignite Combustion in Swirl Burners. A Mathematical Model." Heat Transfer Research 34, no. 3-4 (2003): 12. http://dx.doi.org/10.1615/heattransres.v34.i3-4.10.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Barbuto, John E., Joana S. Story, Susan M. Fritz, and Jack L. Schinstock. "Reconceptualizing Academic Advising Using The Full Range Leadership Model." Journal of Leadership Education 7, no. 3 (December 1, 2009): 60–68. http://dx.doi.org/10.12806/v7/i3/tf2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Rehm, Christopher. "An Evidence-Based Practitioner’s Model for Adolescent Leadership Development." Journal of Leadership Education 13, no. 3 (July 1, 2014): 83–97. http://dx.doi.org/10.12806/v13/i3/t1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Rehm, Christopher J. "An Evidence-Based Practitioner’ s Model for Adolescent Leadership Development." Journal of Leadership Education 13, no. 3 (July 1, 2014): 83–97. http://dx.doi.org/10.12806/v13/i3/tf1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Kamune, Kalyani Pradiprao, and Avinash Agrawal. "Hybrid Model of Automated Anaphora Resolution." IAES International Journal of Artificial Intelligence (IJ-AI) 3, no. 3 (September 1, 2014): 105. http://dx.doi.org/10.11591/ijai.v3.i3.pp105-111.

Full text

Abstract:

Anaphora resolution has proven to be a very difficult problem of natural language processing, and it is useful in discourse analysis, language understanding and processing, information exaction, machine translation and many more. This paper represents a system that instead of using a monolithic architecture for resolving anaphora, use the hybrid model which combines the constraint-based and preferences-based architectures, each uses a different source of knowledge, and proves effective on theoretical and computational basis. An algorithm identifies both inter-sentential and intra-sentential antecedents of “Third person pronoun anaphors”, “Pleonastic it”, and “Lexical noun phrase anaphora”. The algorithm use Charniak parser (parser05Aug16) as an associated tool, and it relays on the output generated by it. Salience measures derived from parse tree, in order to find out accurate antecedents from the list of potential antecedents. We have tested the system extensively on 'Reuters Newspaper corpus'.

APA, Harvard, Vancouver, ISO, and other styles

27

Chen, Xiaoyu, Xiangli Dong, and Li Shi. "Short-term power load forecasting based on I-GWO-KELM algorithm." MATEC Web of Conferences 336 (2021): 05021. http://dx.doi.org/10.1051/matecconf/202133605021.

Full text

Abstract:

In this paper, I-GWO-KELM algorithm is used for short-term power load forecasting. Normalize the power data and meteorological data of the short-term power load, and use GWO to optimize the regularization coefficient of KELM and the RBF kernel parameters. To apply the model to short-term power load forecasting to obtain simulations for the next 24 hours and 168 hours curve. Experiments show that the improved model I3-GWO-KELM proposed in this paper has the best effect. The improvement of GWO in this paper is effective and feasible. In the application of short-term power load forecasting, the IGWO-KELM model is more accurate than the ELM and KELM models.

APA, Harvard, Vancouver, ISO, and other styles

28

Hamza, Najlaa Abd, Shatha Habeeb Jafer, and Raghad Mohammed Hadi. "3D model retrieval using MeshSIFT descriptor and fuzzy C-means clustering." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 3 (September 1, 2020): 1452. http://dx.doi.org/10.11591/ijeecs.v19.i3.pp1452-1460.

Full text

Abstract:

A huge number of three-dimensional models exists on the internet, due to the fact that there are now more three-dimensional modelling and digitizing tools available for ever-increasing applications. The procedures for retrieval of three-dimensional models have thus become even more essential. The subject of this paper is a shape retrieval of 3D models that are signified as triangle meshes. We propose a new method which first computes the descriptor of 3D models through extracting its features, and then divides a model into clusters depending on a descriptor which is invariant to scale and orientation. A Fuzzy C-means clustering method is utilized for dividing the model into clusters. The superior performance and benefits of our method are shown in the results.

APA, Harvard, Vancouver, ISO, and other styles

29

Hamdani, Hamdani, Retantyo Wardoyo, and Khabib Mustofa. "Weighting Model for Group Decision Support System: A Review." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 3 (September 1, 2018): 962. http://dx.doi.org/10.11591/ijeecs.v11.i3.pp962-974.

Full text

Abstract:

This paper was conducted a survey of research findings related to decision-making in groups using weighting techniques This paper conducts a survey of research findings related to decision-making in groups using weighting techniques, therefore, a new weighting model can be proposed.. In order to make a decision, this model works based on the weighting parameters, criteria or decision makers (DM) to give ranking preference in the decision results. Weighting could be done objectively or subjectively by statistical calculations. Subjective weighting based on an understanding or expertise of the decision-making process, furthermore, a numerical value was needed to make it objective. The previous weighting models need to be modified for the development of group decision support systems (GDSS). It is required to accommodate the interests of all stakeholders to link the DM relationship. We formed several groups of weighting methods that currently use for the trend of group decision-making (GDM). It showed that the classical multi-criteria decision-making (MCDM) models are still dominant in solving GDSS problems, therefore, it was necessary to apply hybrid MCDM with an approach method of stakeholders models and social networks (SN) to improve decision model that has been applied in the previous research.

APA, Harvard, Vancouver, ISO, and other styles

30

Islam, Md Monirul, Mohammod Abul Kashem, and Jia Uddin. "Fish survival prediction in an aquatic environment using random forest model." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 3 (September 1, 2021): 614. http://dx.doi.org/10.11591/ijai.v10.i3.pp614-622.

Full text

Abstract:

In the real world, it is very difficult for fish farmers to select the perfect fish species for aquaculture in a specific aquatic environment. The main goal of this research is to build a machine learning that can predict the perfect fish species in an aquatic environment. In this paper, we have utilized a model using random forest (RF). To validate the model, we have used a dataset of aquatic environment for 11 different fishes. To predict the fish species, we utilized the different characteristics of aquatic environment including pH, temperature, and turbidity. As a performance metrics, we measured accuracy, true positive (TP) rate, and kappa statistics. Experimental results demonstrate that the proposed RF-based prediction model shows accuracy 88.48%, kappa statistic 87.11% and TP rate 88.5% for the tested dataset. In addition, we compare the proposed model with the state-of-art models J48, RF, k-nearest neighbor (k-NN), and classification and regression trees (CART). The proposed model outperforms than the existing models by exhibiting the higher accuracy score, TP rate and kappa statistics.

APA, Harvard, Vancouver, ISO, and other styles

31

Morel, Christophe. "An Order of Magnitude Analysis of the Two-Phase K-ε Model." International Journal of Fluid Mechanics Research 22, no. 3-4 (1995): 21–44. http://dx.doi.org/10.1615/interjfluidmechres.v22.i3-4.30.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Bruyatskiy, Ye V. "Allowing for Terrain Irregularity in a Jet-Diffusion Model of Impurity Scattering." International Journal of Fluid Mechanics Research 23, no. 3-4 (1996): 182–94. http://dx.doi.org/10.1615/interjfluidmechres.v23.i3-4.10.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Haber, Paige, and Susan R. Komives. "Predicting the Individual Values of the Social Change Model of Leadership Development." Journal of Leadership Education 7, no. 3 (December 1, 2009): 133–66. http://dx.doi.org/10.12806/v7/i3/rf4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

El Hachimi, Mohamed, Abdelhakim Ballouk, and AbdNaceur Baghdad. "Fuzzy Model Predictive Controller for Artificial Pancreas." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 3 (September 1, 2018): 1178. http://dx.doi.org/10.11591/ijpeds.v9.i3.pp1178-1185.

Full text

Abstract:

This work consists on new tuning of Model Predictive Controllers using Fuzzy Logic method. Tree relevant parameters are automatically adjusted the prediction horizon Np, the input weight R and the output weight Q. The proposed controller is implemented in an Artificial Pancreas and tested under realistic conditions in a commercial platform of simulation. The result of the simulations revealed the success of such a method to improve the controller’s performances compared to the previous ones.

APA, Harvard, Vancouver, ISO, and other styles

35

Chee Ling, Thong, Yusmadi Yah Jusoh, Rusli Abdullah, and Nor Hayati Alwi. "Validation of Curriculum Design Information System Model." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 3 (December 1, 2018): 1305. http://dx.doi.org/10.11591/ijeecs.v12.i3.pp1305-1311.

Full text

Abstract:

Information system (IS) is important to institution of higher learning (IHL) especially in the domain of curriculum design. Without the support of IS, curriculum design in IHL is time-consuming, error-prone and much effort need to put in by curriculum designers. Although there are numerous IS developed in curriculum design domain for the past few years, there is still lack of specific IS curriculum design model found in IHL. This study aims to propose an IS model which provide guidance during curriculum design process. Model validation phase begin with development of prototype which explains the process of creating a prototype according to the proposed model. The study collected 80 responses from the survey and the study resulted that the IS model is useful and able to reduce time, error and effort during curriculum design process.

APA, Harvard, Vancouver, ISO, and other styles

36

Bakievna Khuzyatova, Lyalya, and Lenar Ajratovich Galiullin. "Optimization of parameters of neuro-fuzzy model." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (March 1, 2020): 1206. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1206-1209.

Full text

Abstract:

The questions and problems of the formation of knowledge bases of intelligent man-machine decision support systems are considered. The neuron-fuzzy model used in the work is described. The need for increasing the efficiency of the neuron-fuzzy model in the formation of knowledge bases is being updated. The task is to develop methods and algorithms for presetting and optimizing the parameters of a fuzzy neural network. To solve difficult formalized tasks, it is necessary to develop decision support systems - expert systems based on a knowledge base. ES developers are constantly faced with the problems of “extraction” and formalization of knowledge, as well as the search for new ways to obtain it. To do this, use the extraction, acquisition and formation of knowledge. Currently, the formation of knowledge bases is relevant for the creation of hybrid technologies - fuzzy neural networks that combine the advantages of neural network models and fuzzy systems. The analysis of the efficiency of the fuzzy neural network carried out in the work showed that the quality of training of the NN largely depends on the choice of the number of fuzzy granules for input drugs. In addition, to use fuzzy information formalized by the mathematical apparatus of fuzzy logic, procedures are required for selecting optimal forms and presetting the parameters of the corresponding membership functions (MF).

APA, Harvard, Vancouver, ISO, and other styles

37

Umesh, I. M., G. N. Srinivasan, and Matheus Torquato. "Software Aging Forecasting Using Time Series Model." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 3 (September 23, 2017): 839. http://dx.doi.org/10.11591/ijeecs.v7.i3.pp839-845.

Full text

Abstract:

With the emergence of virtualization and cloud computing technologies, several services are housed on virtualization platform. Virtualization is the technology that many cloud service providers rely on for efficient management and coordination of the resource pool. As essential services are also housed on cloud platform, it is necessary to ensure continuous availability by implementing all necessary measures. Windows Active Directory is one such service that Microsoft developed for Windows domain networks. It is included in Windows Server operating systems as a set of processes and services for authentication and authorization of users and computers in a Windows domain type network. The service is required to run continuously without downtime. As a result, there are chances of accumulation of errors or garbage leading to software aging which in turn may lead to system failure and associated consequences. This results in software aging. In this work, software aging patterns of Windows active directory service is studied. Software aging of active directory needs to be predicted properly so that rejuvenation can be triggered to ensure continuous service delivery. In order to predict the accurate time, a model that uses time series forecasting technique is built.

APA, Harvard, Vancouver, ISO, and other styles

38

Umesh, I. M., G. N. Srinivasan, and Matheus Torquato. "Software Aging Forecasting Using Time Series Model." Indonesian Journal of Electrical Engineering and Computer Science 8, no. 3 (December 1, 2017): 589. http://dx.doi.org/10.11591/ijeecs.v8.i3.pp589-596.

Full text

Abstract:

With the emergence of virtualization and cloud computing technologies, several services are housed on virtualization platform. Virtualization is the technology that many cloud service providers rely on for efficient management and coordination of the resource pool. As essential services are also housed on cloud platform, it is necessary to ensure continuous availability by implementing all necessary measures. Windows Active Directory is one such service that Microsoft developed for Windows domain networks. It is included in Windows Server operating systems as a set of processes and services for authentication and <a href="https://en.wikipedia.org/wiki/Authorization">authorization </a>of users and computers in a Windows domain type network. The service is required to run continuously without downtime. As a result, there are chances of accumulation of errors or garbage leading to software aging which in turn may lead to system failure and associated consequences. This results in software aging. In this work, software aging patterns of Windows active directory service is studied. Software aging of active directory needs to be predicted properly so that rejuvenation can be triggered to ensure continuous service delivery. In order to predict the accurate time, a model that uses time series forecasting technique is built.

APA, Harvard, Vancouver, ISO, and other styles

39

Qasim, Abdullah Ali, Husam Noman Mohammedali, M. F. L. Abdullah, R. Talib, and Haidar Zaeer Dhaam. "Enhanced Flip-FBMC visible light communication model." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (September 1, 2021): 1783. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1783-1793.

Full text

Abstract:

VLC technology is one of the most promising technologies in the generations of communications, especially 5G after the significant development of optical semiconductors, specific laser diode, and the use of FBMC modulation in the system. DCO-FBMC modulation surpasses all the disadvantages of DCO-OFDM modulation techniques, as it is characterized by high speed and large bandwidth, but this technique consumes high energy when converting a real bipolar signal into a positive unipolar by adding DC-bias. Besides the challenge of illumination distribution indoor typical room, where the drop of the illumination appears in the middle of the room, besides the power consumption. The Flip-FBMC technique was proposed to solve this challenge, which helps convert the bipolar signal into unipolar by separating the positive part from the negative part and converting it into positive and merging it using Multiplexer and then sending the signal. Besides this, the authors presented in this paper a new lighting model with 5 luminescent units, using LD instead of LED. The Flip-FBMC profile gave better energy savings and BER performance than DCO-FBMC, besides a lighting model that covers dark areas and gives high SNR for the blind area and give save power 13.14% from consumed power.

APA, Harvard, Vancouver, ISO, and other styles

40

Deplano, Paola, Francesco A. Devillanova, John R. Ferraro, Maria Laura Mercuri, Vito Lippolis, and Emanuele F. Trogu. "FT-Raman Study on Charge-Transfer Polyiodide Complexes and Comparison with Resonance Raman Results." Applied Spectroscopy 48, no. 10 (October 1994): 1236–41. http://dx.doi.org/10.1366/0003702944027372.

Full text

Abstract:

In resonance Raman (RR) spectroscopy, the laser excitation sources have often been found to be destructive towards polyiodides if compared with the milder conditions under which the Fourier transform Raman (FT-R) technique operates. In fact, our FT-R spectra of some model polyiodides—[(CH3)4N]I5 (I5− bent), [(C2H5)4N]I7, and [(CH3)4N]I9—are significantly different from the literature RR data, give evidence of decomposition of the samples in RR, and are in agreement, respectively, with the I− · 2I2, I3− · 2I2 and (I− · 2I2) · 2I2 descriptions. In addition to the above-cited cases, the FT-R spectra of (Mn(modtc)3]Is (modtc = morpholine carbodithioato) and (moH]I5 (moH = morpholinium) are reported. The crystal structures indicate that in these two compounds the I5 anions can be properly described as I− · 2I2 and I3− · I2, respectively, and FT-R spectra agree well with this formulation. Moreover, the first FT-R spectrum of an I164– anion in [mo2ttl]2I16, ([mo2ttl]2+ = 3,5-di( N-morpholinio)-1,2,4-trithiolane), whose X-ray structure shows a sequence of two I3− … I2 … I− ·I2 (I82–) interacting anions, is reported. A close correlation of the FT-Raman peaks with the molecular species, identified by the interatomic distances, is also observed in this case. Thus, a combination of X-ray structural data and FT-R data can provide a reasonable interpretation of the nature of the acceptor iodine moiety in charge-transfer polyiodide complexes.

APA, Harvard, Vancouver, ISO, and other styles

41

Adi Izhar, Che Ani, Z. Hussain, M. I. F. Maruzuki, Mohd Suhaimi Sulaiman, and A. A. Abd. Rahim. "Gait cycle prediction model based on gait kinematic using machine learning technique for assistive rehabilitation device." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 3 (September 1, 2021): 752. http://dx.doi.org/10.11591/ijai.v10.i3.pp752-763.

Full text

Abstract:

The gait cycle prediction model is critical for controlling assistive rehabilitation equipment like orthosis. The human gait model has recently used statistical models, but the dynamic properties of human physiology limit the current approach. Current human gait cycle prediction models need detailed kinematic and kinetic data of the human body as input parameters, and measuring them requires special instruments, making them difficult to use in real-world applications. In our study, three separate machine learning algorithms were used to create a human gait model: Gaussian process regression, support vector machine, and decision tree. The algorithm used to create the model's input parameters are height, weight, hip and knee angle, and ground reaction force (GRF). For better gait cycle model prediction, the models produced were enhanced by incorporating different sliding window data. The best gait period prediction model was DT with sliding window data (t−3), which had a root mean square error of 3.3018 and the R-squared (R-Value) of 0.97. The projection model focused on hip and knee angle and GRF was a feasible solution to controlling assistive rehabilitation devices during the gait cycle.

APA, Harvard, Vancouver, ISO, and other styles

42

Noor Mathivanan, Norsyela Muhammad, Puzziawati Ab Ghani, and Nor Azura Md.Ghani. "Tracing Mathematical Function of Age Specific Fertility Rate in Peninsular Malaysia." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 3 (March 1, 2018): 637. http://dx.doi.org/10.11591/ijeecs.v9.i3.pp637-642.

Full text

Abstract:

The size, structure, and composition of a population are affected by the fertility rates at any point of time. Many researchers took the opportunity to exploit the fertility rates in obtaining better fertility patterns for their country. The curve for the age specific fertility rate is consistent, and this feature allows the curve to be matched with a mathematical model. This paper aimed to identify the best mathematical model that fits the recent age specific fertility rate in Peninsular Malaysia. This study fitted the fertility data of Peninsular Malaysia from 1996 to 2014 to the four mathematical models, which were Hadwiger, Gamma, Beta, and Gompertz models. From the comparisons of the four models, it was found that the best fitted mathematical model is Hadwiger model. In relation to the data of early 21st century, there was an inclination for the best fitted mathematical model from Hadwiger model to Beta model. Hence, the best mathematical model for each year can be used to convert a fertility schedule classified in a five-year age group into a fertility schedule for a single-year of age in Peninsular Malaysia. This model also can be helpful for population projections by using limited and defective data.

APA, Harvard, Vancouver, ISO, and other styles

43

Gale, J., Iztok Tiselj, and A. Horvat. "TWO-FLUID MODEL OF THE WAHA CODE FOR SIMULATIONS OF WATER HAMMER TRANSIENTS." Multiphase Science and Technology 20, no. 3-4 (2008): 291–322. http://dx.doi.org/10.1615/multscientechn.v20.i3-4.40.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Antos, Matthew, and Thomas H. Bruening. "A Model Hypothesizing the Effect of Leadership Style on the Transfer of Training." Journal of Leadership Education 5, no. 3 (December 1, 2006): 31–52. http://dx.doi.org/10.12806/v5/i3/rf1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Annanurov, Bayram, and Norliza Noor. "A compact deep learning model for Khmer handwritten text recognition." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 3 (September 1, 2021): 584. http://dx.doi.org/10.11591/ijai.v10.i3.pp584-591.

Full text

Abstract:

The motivation of this study is to develop a compact offline recognition model for Khmer handwritten text that would be successfully applied under limited access to high-performance computational hardware. Such a task aims to ease the ad-hoc digitization of vast handwritten archives in many spheres. Data collected for previous experiments were used in this work. The oneagainst-all classification was completed with state-of-the-art techniques. A compact deep learning model (2+1CNN), with two convolutional layers and one fully connected layer, was proposed. The recognition rate came out to be within 93-98%. The compact model is performed on par with the state-of-theart models. It was discovered that computational capacity requirements usually associated with deep learning can be alleviated, therefore allowing applications under limited computational power.

APA, Harvard, Vancouver, ISO, and other styles

46

Alisawi, W. Ch, Alaa Abdul AlMuhsen Hussain, and Wasan A. Alawsi. "Estimate model of system management for database security." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 3 (June 1, 2019): 1391. http://dx.doi.org/10.11591/ijeecs.v14.i3.pp1391-1394.

Full text

Abstract:

A generalized model of information protection of a database management system is proposed, which can be used to implement database protection under any database management system. This model development methodology consists of four stages: requirements gathering, database analysis, “multi-level relational logical construction and a specific logical construction. The first three steps define actions for analyzing and developing a secure database, thus creating a generalized and secure database model”.

APA, Harvard, Vancouver, ISO, and other styles

47

Lal Gope, Hira, Machbah Uddin, Shohag Barman, Dilshad Islam, and Mohammad Khairul Islam. "Fire Detection in Still Image Using Color Model." Indonesian Journal of Electrical Engineering and Computer Science 3, no. 3 (September 1, 2016): 618. http://dx.doi.org/10.11591/ijeecs.v3.i3.pp618-625.

Full text

Abstract:

Fire incidence is one of the major disasters of human society. This paper proposes a still image-based fire detection system. It has many advantages like lower cost, faster response, and large coverage. The existing methods are not able to detect fire region adequately. The proposed method overcome and addresses the issue. A binary contour image of flame that is capable of classifying fire or no fire in image for fire detection is proposed in this study. The color of fire area can range from red yellow to almost white. So, here it is challenges the detected area is actually fire or no fire. Our propose method consists of five parts. Firstly, the digital image is taken from dataset and the digital image is sampled and mapped as a grid of dots or picture elements. We convert image to separate RGB Color range Matrix. We define some rules to select yellow color range of the image later on converted the image to binary range. Finally, binary contour image of flame information that detect the fire. We have analyzed different types of fire images in different varieties and found accuracy 85-90%.

APA, Harvard, Vancouver, ISO, and other styles

48

Chaudhury, Pamela, and Hrudaya Kumar Tripathy. "A novel academic performance estimation model using two stage feature selection." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 3 (September 1, 2020): 1610. http://dx.doi.org/10.11591/ijeecs.v19.i3.pp1610-1619.

Full text

Abstract:

Educational data mining has gained tremendous interest from researchers across the globe. Using data mining techniques in the field of education several significant findings have been made. Accurate academic performance estimation is a challenging task. In this study we have developed a novel model to estimate the academic performance of students. Techniques like conversion of categorical attributes into dummy variables, classification, two staged feature selection and an improved differential evolutionary algorithm were used. Our proposed model outperformed existing models of students’ academic performance determination and gave a new direction to it. The proposed model can help not only to reduce the number of academic failures but also help to comprehend the factors contributing to a student’s academic performance (poor, average or outstanding).Computer

APA, Harvard, Vancouver, ISO, and other styles

49

Srikanth, Kottalanka, and D. Arivazhagan. "An Efficient Patient Inflow Prediction Model For hospital Resource Management." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 3 (September 1, 2017): 809. http://dx.doi.org/10.11591/ijeecs.v7.i3.pp809-817.

Full text

Abstract:

There has been increasing demand in improving service provisioning in hospital resources management. Hospital industries work with strict budget constraint at the same time assures quality care. To achieve quality care with budget constraint an efficient prediction model is required. Recently there has been various time series based prediction model has been proposed to manage hospital resources such ambulance monitoring, emergency care and so on. These models are not efficient as they do not consider the nature of scenario such climate condition etc. To address this artificial intelligence is adopted. The issues with existing prediction are that the training suffers from local optima error. This induces overhead and affects the accuracy in prediction. To overcome the local minima error, this work presents a patient inflow prediction model by adopting resilient backpropagation neural network. Experiment are conducted to evaluate the performance of proposed model inter of RMSE and MAPE. The outcome shows the proposed model reduces RMSE and MAPE over existing back propagation based artificial neural network. The overall outcomes show the proposed prediction model improves the accuracy of prediction which aid in improving the quality of health care management.

APA, Harvard, Vancouver, ISO, and other styles

50

S Gaya, M., L. A. Yusuf, Mamunu Mustapha, Bashir Muhammad, Ashiru Sani, Aminu Tijjani Aminu Tijjani, N. A. Wahab, and M. T.M. Khairi. "Estimation of Turbidity in Water Treatment Plant using Hammerstein-Wiener and Neural Network Technique." Indonesian Journal of Electrical Engineering and Computer Science 5, no. 3 (March 1, 2017): 666. http://dx.doi.org/10.11591/ijeecs.v5.i3.pp666-672.

Full text

Abstract:

Turbidity is a measure of water quality. Excessive turbidity poses a threat to health and causes pollution. Most of the available mathematical models of water treatment plants do not capture turbidity. A reliable model is essential for effective removal of turbidity in the water treatment plant. This paper presents a comparison of Hammerstein Wiener and neural network technique for estimating of turbidity in water treatment plant. The models were validated using an experimental data from Tamburawa water treatment plant in Kano, Nigeria. Simulation results demonstrated that the neural network model outperformed the Hammerstein-Wiener model in estimating the turbidity. The neural network model may serve as a valuable tool for predicting the turbidity in the plant.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'I3 Model'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles