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Journal articles on the topic 'Linjär'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Skarin, Anna. "Habitat use by semi-domesticated reindeer, estimated with pellet-group counts." Rangifer 27, no. 2 (January 28, 2009): 121. http://dx.doi.org/10.7557/2.27.2.167.

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Habitat selection theory predicts that herbivores should select for or against different factors at different spatial scales. For instance, quantity of forage is expected to be a strong factor influencing habitat choice at large scales, while forage quality may be important at finer scales. However, during summer, herbivores such as reindeer (Rangifer tarandus tarandus) can be limited in their grazing time by insect harassment, and do not always have the possibility to select for high quality forage. Human disturbances from hikers, etc., can also have a limiting effect on the possibility for reindeer to graze in high quality foraging habitats. Reindeer habitat selection at the landscape level was investigated through faecal pellet-group counts during the summers of 2002 and 2003 in two reindeer herding districts in Sweden. Resource utilization functions (RUFs) were developed using multiple linear regressions, where the pellet densities were related to vegetation types, topographic features, distances to tourist resorts, and distances to hiking trails. Validations of the models were performed through cross-validation correlations. Results show that high altitudes with high quality forage were important habitats. Areas that offer both snow patches and fresh forage plants for the reindeer were used in relation to their availability. The reindeer also seemed able to habituate to human intervention to a certain extent. The predictive capabilities of the RUF models were high and pellet-group counts seemed well suited to study how abiotic factors affect the habitat use at large temporal and spatial scales Abstract in Swedish / Sammanfattning: Renens användning av sommarbetesområdet, uppskattat med spillningsinventeringar Hierarkiskt habitatval innebär att djur väljer för och emot olika faktorer beroende på den rumsliga skalan. Mängden bete kan t ex spela stor roll för en växtätares habitatval på en stor skala medan kvalitén på betet kan ha större betydelse på en mindre skala. För renar (Rangifer tarandus tarandus), kan betestiden och möjligheten att hitta bra bete sommartid begränsas både på stor och liten skala pga. störningar från insekter och mänsklig aktivitet. Här studerades renarnas val av betesområde på landskapsnivå med hjälp av spillningsinventering under somrarna 2002 och 2003 i två samebyar i Sverige. Spillningstätheten för respektive område och år undersöktes statistiskt med hjälp av multipel linjär regression eller sk ”resource utilisation functions” (RUF). Där relaterades spillningstätheten till vegetationstyp, olika topografiska faktorer, avstånd till vandringsleder, stugplatser och fjällstationer. Resultaten visade att områden högt upp i terrängen med hög beteskvalitet var attraktiva. Vegetationstypen moderat snölega som anses ha hög beteskvalitet användes av renarna i relation till dess förekomst. Däremot verkade renarna undvika områden kring välbesökta fjällstugor och fjällstationer medan de däremot t o m föredrog områden nära vandringsleder. Det kan bero på att vandringslederna går genom attraktiva vegetationstyper. RUF-modellerna hade en hög prediktiv förmåga vilket visar att spillningsinventeringar är användbara när man önskar studera hur djuren använder ett betesområde i relation till olika faktorer på en relativt stor rumslig och temporal skala.
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2

Lundqvist, Henrik, Lennart Norell, and Öje Danell. "Relationships between biotic and abiotic range characteristics and productivity of reindeer husbandry in Sweden." Rangifer 29, no. 1 (December 1, 2009): 1–24. http://dx.doi.org/10.7557/2.29.1.198.

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Reindeer husbandry is a form of pastoralism where vast areas are used as forage ranges throughout the year. The productivity of the reindeer industry in Sweden is affected by a multitude of factors on different geographical and temporal scales. Our aim was to find combinations of factors characterizing the environmental conditions for reindeer husbandry in the 51 herding districts in Sweden, which correlate strongly with variations in productivity both between herding districts in general and between years within districts. Productivities were described by estimated herd growth rates and carcass condition of slaughtered females and calves. These dependent variables were related to the environmental independent variables using linear regression models and structural equation modelling. The independent variables were either considered as stable (e.g. topography, vegetation and infrastructure) or temporally changing (e.g. season lengths, weather events, disturbances and animal slaughter strategies). The most relevant independent variables were included in a cluster analysis to suggest a grouping of herding districts based on similarities in environmental conditions. Considerably larger variation in productivity was found between herding districts than between years. Different variables were found to be important for between-district and within-district variations, respectively. Season lengths and animal densities were found significant at both levels of variation. Other variables found to be relevant were ruggedness, snow condition, harassing insect activity, supplementary feeding, calf slaughter ratio and previousyear animal condition. Snow precipitation, ice-crust formation and forage quality were presumed to be relevant for reindeer productivity, but were not found to have a large impact on productivity. These factors, however, may have been counteracted by husbandry measures, statistically incorporated in animal density variables, or by being strongly correlated with other, more significant variables. Several of the variables that were found to be important for productivity are correlated with climate and weather and therefore foreseen to be altered in a climatic change perspective. Abstract in Swedish / Sammanfattning: Kopplingar mellan biotiska och geografiska karaktäristika av renskötselområden och renproduktivitet i Sverige Renskötseln i Sverige är en form av pastoralism som använder stora ytor till betesmark. Produktiviteten inom rennäringen i Sverige beror på ett stort antal faktorer som varierar geografiskt och över tid. Undersökningens mål var att hitta kombinationer av faktorer som karaktäriserar förutsättningarna för renskötsel inom de 51 samebyarna i Sverige. Detta genomfördes genom att koppla variationen i renproduktivitet med kombinationer av omgivningsvariabler på sameby- och årsbasis. Produktiviteten definierades genom beräknad hjordtillväxt, slaktkroppskvalitet och vikter på slaktkroppar. Produktivitetsvariablerna relaterades till omgivningsvariablerna genom multipel linjär regression och strukturerad ekvationsmodellering (SEM). Omgivningsvariablerna ansågs för denna undersöknings tidsperspektiv vara antingen stabila (t.ex. topografi, vegetation och infrastrukturer) eller varierande över tid (t.ex. säsongslängder, väderhändelser, störningar och slaktstrategier). De mest relevanta omgivningsvariablerna användes i en klusteranalys för att gruppera samebyarna enligt deras likheter i förutsättningar för renskötsel. Variationen i produktivitet var större mellan samebyar än mellan år inom samebyar. Olika omgivningsvariabler visade sig vara relevanta mellan samebyar och mellan år. Säsongslängd och djurtäthet var relevanta i båda skalorna (mellan samebyar och mellan år), medan faktorer såsom topografisk brutenhet, snöförhållanden, aktivitet av störande insekter, stödutfodring, kalvslaktsandel och kondition på föregående års slaktkroppar var relevanta i en av dem. Snöfall, skarebildning och beteskvalitet antogs vara relevanta men visade sig inte vara signifikant korrelerade med produktiviteten. Dessa faktorer kan dock ha motverkats genom renskötselåtgärder, blivit statistisk inkorporerade i rentäthetsvariabler eller varit korrelerade med andra mer relevanta variabler. Flera av de signifikanta omgivningsvariablerna är väder- och klimatrelaterade, vilka därför antas förändras i den pågående klimatförändringen.
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3

Hamiche, Ali, Patrick Schultz, V. Ramakrishnan, Pierre Oudet, and Ariel Prunell. "Linker Histone-dependent DNA Structure in Linear Mononucleosomes." Journal of Molecular Biology 257, no. 1 (March 1996): 30–42. http://dx.doi.org/10.1006/jmbi.1996.0144.

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4

Wimmer, Gejza. "Linear-quadratic estimators in a special structure of the linear model." Applications of Mathematics 40, no. 2 (1995): 81–105. http://dx.doi.org/10.21136/am.1995.134282.

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5

Agrawal, Gaurav R., and Leena A. Yelmule. "Linear CMOS LNA." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (December 31, 2018): 829–35. http://dx.doi.org/10.31142/ijtsrd19087.

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6

Lobok, Oleksij, Boris Goncharenko, Larisa Vihrova, and Marina Sych. "Synthesis of Modal Control of Multidimensional Linear Systems Using Linear Matrix Inequalities." Collected Works of Kirovohrad National Technical University. Machinery in Agricultural Production, Industry Machine Building, Automation, no. 31 (2018): 141–50. http://dx.doi.org/10.32515/2409-9392.2018.31.141-150.

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7

Marlon Corrêa, Jairo, Anselmo Chaves Neto, Luiz Albino Teixeira Júnior, Edgar Manuel Carreño, and Álvaro Eduardo Faria. "Linear combination of forecasts with numerical adjustment via MINIMAX non-linear programming." Revista Gestão da Produção Operações e Sistemas 11, no. 1 (March 1, 2016): 79–96. http://dx.doi.org/10.15675/gepros.v11i1.1322.

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8

Štulajter, František. "Robustness of the best linear unbiased estimator and predictor in linear regression models." Applications of Mathematics 35, no. 2 (1990): 162–68. http://dx.doi.org/10.21136/am.1990.104398.

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9

MOUNE, Stephanie, Keiji UEURA, and Noboru TAKIZAWA. "1A2-A04 Study of rotary-to-linear Harmonic Drive(R) : Harmonic Linear Drive." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2007 (2007): _1A2—A04_1—_1A2—A04_4. http://dx.doi.org/10.1299/jsmermd.2007._1a2-a04_1.

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10

Anand, Vijayakumar, Tomas Katkus, Soon Hock Ng, and Saulius Juodkazis. "Review of Fresnel incoherent correlation holography with linear and non-linear correlations [Invited]." Chinese Optics Letters 19, no. 2 (2021): 020501. http://dx.doi.org/10.3788/col202119.020501.

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11

Guan, Yan, Fang Wang, Ying Yang, Deen Wang, Xin Zhang, Qiang Yuan, Dongxia Hu, et al. "Variation in linear susceptibility tensor at crystal surface probed by linear Cherenkov radiation." Chinese Optics Letters 19, no. 3 (2021): 031901. http://dx.doi.org/10.3788/col202119.031901.

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12

Vanžurová, Alena. "Soldered double linear morphisms." Mathematica Bohemica 117, no. 1 (1992): 68–78. http://dx.doi.org/10.21136/mb.1992.126230.

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13

Anděl, Martin. "Non-negative linear processes." Applications of Mathematics 36, no. 4 (1991): 277–83. http://dx.doi.org/10.21136/am.1991.104466.

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14

Ramadhan, Ayad M., and Adil K. Jabbar. "Invariable (2x2) Linear Systems." Journal of Zankoy Sulaimani - Part A 5, no. 1 (March 10, 2001): 51–56. http://dx.doi.org/10.17656/jzs.10089.

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15

Amrullah, Muhammad. "PEMODELAN PEMROGRAMAN LINIER DENGAN KOEFISIEN FUNGSI OBJEKTIF, FUNGSI KENDALA DAN VARIABEL KEPUTUSAN BERBENTUK BILANGAN KABUR BESERTA APLIKASINYA." Jurnal Matematika, Statistika dan Komputasi 16, no. 1 (June 27, 2019): 85. http://dx.doi.org/10.20956/jmsk.v16i1.5802.

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Abstrak Dalam penelitian ini penulis akan mengusulkan algoritma untuk memodelkan masalah pemrograman linear kabur dengan bilangan kabur trapesium menggunakan metode simpleks. Secara khusus dalam aplikasi teori ini adalah masalah pengambilan keputusan pemrograman linear kabur dengan menyajikan metode baru untuk menyelesaikan masalah pemrograman linier kabur dengan menggunakan fungsi ranking. Pada dasarnya, langkah-langkah dalam metode penelitian ini sama dengan dengan metode simpleks yang digunakan untuk memecahkan masalah pemrograman linier tegas.Kata kunci: Fuzzy linear programming, fungsi ranking, metode simpleks. AbstractIn this paper author shall propose an algorithm for solving fuzzy linear programming problems with trapezoidal numbers using a simplex method. In particular, an application of this theory in decision making problems is fuzzy linear programming with a new method for solving fuzzy linear programming problems, by use of rank function. Basically, our method is similar to simplex method that was used for solving linear programming problems in crisp environment before.Keywords: Fuzzy linier programming, rank function, simplex method.
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16

Hohzaki, Ryusuke. "A SEARCH GAME TAKING ACCOUNT OF LINEAR EFFECTS AND LINEAR CONSTRAINTS OF SEARCHING RESOURCE." Journal of the Operations Research Society of Japan 55, no. 1 (2012): 1–22. http://dx.doi.org/10.15807/jorsj.55.1.

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17

Bris, Nathalie Le, Hélène Bernard, Zein Chamas, and Henri Handel. "Synthesis of a New Linear-Cyclic Ditopic Polyazaligand with a Xylenyl Linker." Synthetic Communications 39, no. 11 (May 7, 2009): 1992–2000. http://dx.doi.org/10.1080/00397910802630203.

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18

Cao, Zhenxing, Yi Wang, Hao Wang, Changshu Ma, Heng Li, Jing Zheng, Jinrong Wu, and Guangsu Huang. "Tough, ultrastretchable and tear-resistant hydrogels enabled by linear macro-cross-linker." Polymer Chemistry 10, no. 25 (2019): 3503–13. http://dx.doi.org/10.1039/c9py00600a.

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19

Ellen, Thomas P., and K. E. van Holde. "Linker Histone Interaction Shows Divalent Character with both Supercoiled and Linear DNA†." Biochemistry 43, no. 24 (June 2004): 7867–72. http://dx.doi.org/10.1021/bi0497704.

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20

Larin, Sergey V., Anatolii A. Darinskii, Alexey V. Lyulin, and Sergey V. Lyulin. "Linker Formation in an Overcharged Complex of Two Dendrimers and Linear Polyelectrolyte." Journal of Physical Chemistry B 114, no. 8 (March 4, 2010): 2910–19. http://dx.doi.org/10.1021/jp908196t.

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21

Mahmudah, Wilda. "Analisis Kesalahan dalam Menyelesaikan Soal Sistem Persamaan Linear pada Aljabar Linier Elementer." Briliant: Jurnal Riset dan Konseptual 5, no. 3 (August 31, 2020): 449. http://dx.doi.org/10.28926/briliant.v5i3.463.

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22

Maulana, Hafiz, Jati Sunaryati, and Riza Aryanti. "ANALISIS KAPASITAS NOMINAL PENAMPANG DAN KINERJA STRUKTUR BETON BERTULANG DENGAN MATERIAL NONLINEAR." Jurnal Rekayasa Sipil (JRS-Unand) 12, no. 1 (April 1, 2016): 39. http://dx.doi.org/10.25077/jrs.12.1.39-50.2016.

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Dalam kasus analisis material kondisi non-linear, modulus elastisitas hanya titik definisi pertama dari sebuah perilaku secara keseluruhan. Definisi dan analisis dalam kasus material kondisi non-linear melibatkan salah satu dari perilaku pasca leleh (plastik). Solusi numerik dari jenis masalah non-linear melibatkan pendekatan segmen non-linear pada kurva tegangan-regangan dengan serangkaian potongan segmen linier. Setiap segmen linier didekati dengan modulus tangen (ET) yang dihitung sebagai rasio tegangan dengan regangan untuk segmen baris tertentu. Perbandingan antara material kondisi linear dengan kondisi non-linear menunjukkan bahwa hasil analisis menggunakan model material non-linear memberikan hasil cukup berbeda dibandingkan model material linear. Hasil ini juga menunjukkan adanya pengaruh perubahan nilai modulus elastisitas (E) pada matriks kekakuan elemen dalam analisis. Dimana untuk model material non-linear adanya modulus elastisitas tangent (ET) yang berpengaruh dalam analisis permodelan respon non-linear pada elemen.Kata kunci : model material linear, model material non-linear, modulus elastisitas (E), modulus elastisitastangent (ET).
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23

Mazanik, S. A. "Linear differential Lappo-Danilevskii systems." Mathematica Bohemica 127, no. 2 (2002): 275–82. http://dx.doi.org/10.21136/mb.2002.134159.

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24

Raghuvanshi, Monika. "Knowledge and Awareness: Linear Regression." Educational Process: International Journal 5, no. 4 (December 1, 2016): 279–92. http://dx.doi.org/10.22521/edupij.2016.54.2.

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25

Hino, Hideitsu, and Jun Fujiki. "ADHERENTLY PENALIZED LINEAR DISCRIMINANT ANALYSIS." Journal of the Japanese Society of Computational Statistics 28, no. 1 (2015): 125–37. http://dx.doi.org/10.5183/jjscs.1412001_219.

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26

Bendaoud, M., and M. Sarih. "Locally spectrally bounded linear maps." Mathematica Bohemica 136, no. 1 (2011): 81–89. http://dx.doi.org/10.21136/mb.2011.141452.

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27

Faydaoğlu, Şerife. "APPROXIMATE SOLUTIONS OF NONLINEAR OSCILLATORS." e-Journal of New World Sciences Academy 12, no. 1 (January 25, 2017): 1–8. http://dx.doi.org/10.12739/nwsa.2017.12.1.3a0078.

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28

Lam, Kim Fung. "A Unified Linear Regression Approach." International Journal of Applied Physics and Mathematics 4, no. 4 (2014): 223–26. http://dx.doi.org/10.7763/ijapm.2014.v4.287.

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29

Veselá, Z., L. Vostrý, and P. Šafus. "Linear and linear-threshold model for genetic parameters for SEUROP carcass traits in Czech beef cattle." Czech Journal of Animal Science 56, No. 9 (September 19, 2011): 414–26. http://dx.doi.org/10.17221/1292-cjas.

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The objective of this study was to estimate genetic parameters for the results of classifying of carcass traits by the SEUROP method in beef cattle in the Czech Republic using linear and linear-threshold models. Genetic parameters were calculated and evaluated in a set of 4276 animals of eleven beef breeds and crosses with dairy and dual-purpose breeds (Aberdeen Angus – 1376, Hereford – 994, Simmental – 651, Charolais – 524, Piemontese – 185, Galloway – 162, Blonde d’Aquitaine – 147, Limousine – 106, Highland – 53, Gasconne – 44, Belgian Blue – 34) in 2005–2008. Aberdeen Angus, Hereford, Charolais and beef Simmental were the most numerous breeds. Fixed effect of a classifier, fixed regression on age at slaughter by means of Legendre polynomial of the second degree separately for the each breed and sex and fixed regression on heterosis coefficient were included in a model equation. Genetic parameters were estimated by a multi-trait animal model using a linear model and a linear-threshold model in which carcass weight (CW) was considered as the linear trait and carcass conformation (CC) and carcass fatness (CF) grading as threshold traits. The heritability coefficient for CW differed only moderately according to the method of the genetic parameter estimation (0.295 in linear model and 0.306 in linear-threshold model). The heritability coefficient for CC was 0.187 in linear model and 0.237 in linear-threshold model. The heritability coefficient for CF grading was 0.089 in linear model and 0.146 in linear-threshold model. Genetic correlation between CW and CC was high (0.823 in linear model and 0.959 in linear-threshold model), the correlation between CW and CF was intermediate (0.332 and 0.328, respectively) and it was low between CF and CC (0.071 and 0.053). If CW was included in the model equation as fixed regression using Legendre polynomial, lower heritability coefficients for CC (0.077 and 0.078) and CF (0.086 and 0.123) were calculated and the correlation between CC and CF was negative (–0.430 and –0.429).
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30

Shohei, Shirosaki, Saito Daisuke, Tazoe Shun, Aruga Shin, and Matsubara Masaharu. "1217 Comparison of linear disturbance in a two-dimensional turbulent jet with a linear stability theory." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2013.4 (2013): _1217–1_—_1217–6_. http://dx.doi.org/10.1299/jsmeicjwsf.2013.4._1217-1_.

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31

Christoffers, Jens, Thomas Muesmann, and Mathias Wickleder. "Preparation of Linear Aromatic Disulfonic Acids: New Linker Molecules for Metal-Organic Frameworks." Synthesis 2011, no. 17 (July 20, 2011): 2775–80. http://dx.doi.org/10.1055/s-0030-1260123.

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32

Altunisik, Nihal, Serpil Sener, and Sule Gencoglu. "Linear IgA Bullous Dermatosis: A Case Report [Lineer IgA Bulloz Dermatozu: Olgu Sunumu]." Medicine Science | International Medical Journal 5, no. 3 (2016): 845. http://dx.doi.org/10.5455/medscience.2015.04.8364.

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33

VELI, Yelda, Alexandru M. MOREGA, Lucian PÎSLARU – DĂNESCU, Mihaela MOREGA, and Marius POPA. "The Study of a Linear Magnetostriction Motor." "ACTUALITĂŢI ŞI PERSPECTIVE ÎN DOMENIUL MAŞINILOR ELECTRICE (ELECTRIC MACHINES, MATERIALS AND DRIVES - PRESENT AND TRENDS)" 1, no. 1 (November 19, 2020): 1–8. http://dx.doi.org/10.36801/apme.2019.1.12.

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34

Gonnard, P., and L. Petit. "Efectos no lineales en materiales piezoeléctricos." Boletín de la Sociedad Española de Cerámica y Vidrio 41, no. 1 (February 28, 2002): 107–14. http://dx.doi.org/10.3989/cyv.2002.v41.i1.707.

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35

D, Sempavazhaam, Jothi K, and Kamali S. Nandhini A. Princy Rebekah J. "A Study on Linear Programming Problem." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (February 28, 2019): 903–4. http://dx.doi.org/10.31142/ijtsrd21539.

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36

Michálek, Jiří. "Linear transformations of locally stationary processes." Applications of Mathematics 34, no. 1 (1989): 57–66. http://dx.doi.org/10.21136/am.1989.104334.

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37

Rohn, Jiří. "Interval solutions of linear interval equations." Applications of Mathematics 35, no. 3 (1990): 220–24. http://dx.doi.org/10.21136/am.1990.104406.

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38

Varga, Štefan. "Quadratic estimations in mixed linear models." Applications of Mathematics 36, no. 2 (1991): 134–44. http://dx.doi.org/10.21136/am.1991.104450.

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39

Kubáček, Lubomír. "Linear model with inaccurate variance components." Applications of Mathematics 41, no. 6 (1996): 433–45. http://dx.doi.org/10.21136/am.1996.134336.

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40

Janyška, Josef. "On natural operations with linear connections." Czechoslovak Mathematical Journal 35, no. 1 (1985): 106–15. http://dx.doi.org/10.21136/cmj.1985.102000.

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41

Kurzweil, Jaroslav, and Alena Vencovská. "Linear differential equations with quasiperiodic coefficients." Czechoslovak Mathematical Journal 37, no. 3 (1987): 424–70. http://dx.doi.org/10.21136/cmj.1987.102170.

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42

Došlý, Ondřej. "Phase matrix of linear differential systems." Časopis pro pěstování matematiky 110, no. 2 (1985): 183–92. http://dx.doi.org/10.21136/cpm.1985.108587.

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43

Guldan, Filip. "On a problem of linear arboricity." Časopis pro pěstování matematiky 112, no. 4 (1987): 395–400. http://dx.doi.org/10.21136/cpm.1987.108563.

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44

S. Mohan, S. Mohan, and Dr S. Sekar Dr. S. Sekar. "Linear Programming Problem with Homogeneous Constraints." Indian Journal of Applied Research 4, no. 3 (October 1, 2011): 298–307. http://dx.doi.org/10.15373/2249555x/mar2014/90.

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45

Aben, Hillar, Andrei Errapart, Leo Ainola, and Johan Anton. "OS01W0036 Photoelastic tomography in linear approximation." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2003.2 (2003): _OS01W0036. http://dx.doi.org/10.1299/jsmeatem.2003.2._os01w0036.

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46

Gusev, D. A. "Linear Heart Index аt Japanese Quails." THEORETICAL & APPLIED PROBLEMS OF AGRO-INDUSTRY 1 (2021): 53–55. http://dx.doi.org/10.32935/2221-7312-2021-47-1-53-55.

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47

NUGROHO, MOCHAMAD ARI BAGUS, NOVIE AYUB WINDARKO, and BAMBANG SUMANTRI. "Perancangan Kendali Multilevel Inverter Satu Fasa Tiga Tingkat dengan PI+feedforward pada Beban Nonlinier." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 7, no. 3 (September 30, 2019): 493. http://dx.doi.org/10.26760/elkomika.v7i3.493.

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ABSTRAKSebuah konverter daya multilevel inverter diharapkan mampu untuk menyuplai tegangan AC ideal pada kondisi beban linier maupun nonlinier. Diharapkan metode kendali mampu cepat tanggap dan mampu mempertahankan bentuk tegangan AC keluaran inverter. Pengendali PI+feedforward diajukan dalam makalah ini. Pengendali ini akan diuji dengan beban linier maupun nonlinier. Beban nonlinier berupa rangkaian penyearah dengan filter kapasitor. Berdasarkan pengujian simulasi didapatkan bahwa pengendali PI+feedforward lebih cepat tanggap terhadap gangguan yang dibuktikan dengan nilai kesalahan rata-rata absolut sekitar 73% lebih kecil dari pengendali PI. Hasil Simulasi menunjukkan bahwa multilevel inverter dengan kendali PI menghasilkan THDv sebesar 0,669% pada beban linier dan sebesar 1,263% pada kondisi beban nonlinier. Sedangkan dengan kendali PI+feedforward menghasilkan THDv sebesar 0,292% pada beban linier dan sebesar 1,044% pada kondisi beban nonlinier.Kata kunci: mutilevel inverter, pengendali PI, feedforward, beban non-linier ABSTRACTA multilevel inverter power converter is expected to be able to supply ideal AC voltage in linear and nonlinear load conditions. It is expected that the control method is be able to respond quickly and be able to maintain the waveform of the inverter output AC voltage. PI + feedforward controller is proposed in this paper. This controller will be tested with linear and nonlinear loads. Nonlinear load is a rectifier circuit with a filter capacitor. Based on simulation it was found that PI + feedforward controllers were more responsive to interference as evidenced by the mean absolute error (MAE) value of about 73% less than the PI controller. Simulation results show that multilevel inverter with PI control produces THDv of 0.669% in linear load and 1.263% in nonlinear load conditions. Whereas with PI + feedforward control produces THDv of 0.292% in linear loads and of 1.044% in nonlinear load conditions.Keywords: multilevel inverter, PI controller, feedforward, non-linear load
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48

Han, F., X. Huang, E. Teye, H. Gu, H. Dai, and L. Yao. "A nondestructive method for fish freshness determination with electronic tongue combined with linear and non-linear multivariate algorithms." Czech Journal of Food Sciences 32, No. 6 (November 27, 2014): 532–37. http://dx.doi.org/10.17221/88/2014-cjfs.

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Electronic tongue coupled with linear and non-linear multivariate algorithms was attempted to address the drawbacks of fish freshness detection. Parabramis pekinensis fish samples stored at 4&deg;C were used. Total volatile basic nitrogen (TVB-N) and total viable count (TVC) of the samples were measured. Fisher liner discriminant analysis (Fisher LDA) and support vector machine (SVM) were applied comparatively to classify the samples stored at different days. The results revealed that SVM model was better than Fisher LDA model with a higher identification rate of 97.22% in the prediction set. Partial least square (PLS) and support vector regression (SVR) were applied comparatively to predict the TVB-N and TVC values. The quantitative models were evaluated by the root mean square error of prediction (RMSEP) and the correlation coefficient in the prediction set (R<sub>pre</sub>). The results revealed that SVR model was superior to PLS model with RMSEP = 5.65 mg/100 g, R<sub>pre</sub> = 0.9491 for TVB-N prediction and RMSEP = 0.73 log CFU/g, R<sub>pre</sub>&nbsp;= 0.904 for TVC prediction. This study demonstrated that the electronic tongue together with SVM and SVR has a great potential for a convenient and nondestructive detection of fish freshness. &nbsp;
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49

ÖZER, Ezgi, and Ozan KOCADAĞLI. "Classification of EEG Signals for Epileptic Seizures Using Linear and Non-linear Classifiers Based Wavelet Transforms and Information Criteria." Turkiye Klinikleri Journal of Biostatistics 11, no. 2 (2019): 102–22. http://dx.doi.org/10.5336/biostatic.2018-63886.

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50

Amirova, Alina, Tatyana Kirila, Mikhail Kurlykin, Andrey Tenkovtsev, and Alexander Filippov. "Influence of Cross-Linking Degree on Hydrodynamic Behavior and Stimulus-Sensitivity of Derivatives of Branched Polyethyleneimine." Polymers 12, no. 5 (May 9, 2020): 1085. http://dx.doi.org/10.3390/polym12051085.

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Cross-linked derivatives of acylated branched polyethyleneimine containing 2-isopropyl-2-oxazoline units were investigated in chloroform and aqueous solutions using methods of molecular hydrodynamics, static and dynamic light scattering, and turbidity. The studied samples differed by the cross-linker content. The solubility of the polyethyleneimines studied worsened with the increasing mole fraction of the cross-linker. Cross-linked polyethyleneimines were characterized by small dimensions in comparison with linear analogs; the increase in the cross-linker content leads to a growth of intramolecular density. At low temperatures, the aqueous solutions of investigated samples were molecularly dispersed, and the large aggregates were formed due to the dehydration of oxazoline units and the formation of intermolecular hydrogen bonds. For the cross-linked polyethyleneimines, the phase separation temperatures were lower than that for linear and star-shaped poly-2-isopropyl-2-oxazolines. The low critical solution temperature of the solutions of studied polymers decreased with the increasing cross-linker mole fraction. The time of establishment of the constant characteristics of the studied solutions after the jump-like change in temperature reaches 3000 s, which is at least two times longer than for linear polymers.
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