6 research outputs found
Frequency Regulation Control of Wind Turbine Incorporating Stepper Motor in Pitch System
No full textThis paper describes the presentation of a stepper motor in the pitch control system to regulate frequency. The controller sense the frequency deviation. If the frequency deviation is positive the stepper motor will recommend the motor to pitch the turbine blade slightly away from wind pressure. Similarly if the frequency deviation is negative the stepper motor will recommend the motor to pitch the turbine blade slightly towards wind pressure. The blade pitching is performed by another motor. The frequency controlled by conventional hydraulic mean is costly complex and quite slow in response. They consume enough time during big load changes. In this research a stepper motor is being used for frequency control. A stepper motor is economical capable of fast action and easy to control. The position of the stepper motor is controlled by a PI Proportional Integral controller. Thus a proposed frequency control system incorporating a stepper motor in pitch control system is modeled, designed and simulated in Matlab/ Simulink. The frequency control through stepper motor improves the Transient and steady state performances are enhanced and moreover it reduces frequency spikes
INDEKS PEMBANGUNAN OLAHRAGA PADA ASPEK KEBUGARAN JASMANI MASYARAKAT DI KABUPATEN BANJAR TAHUN 2019
No full textTujuan dalam penelitian ini adalah untuk mengetahui indeks pembangunan olahraga pada aspek kebugaran jasmani Masyarakat Kabupaten Banjar usia 7 sampai 20 tahun ke atas. Penelitian yang digunakan dalam penelitian ini adalah penelitian survey yang dipilih sebagaimana dari penelitian ini tidak ada menggunakan tindakan hanya untuk mengukur serta mengetahui hasil dari penelitian sehingga dapat dilakukannya tindakan berlanjut setelah hasil dari survey telah disimpulkan. Serta menggunakan parameter MFT untuk mengukur status kebugaran jasmani masyarakat Kabupaten Banjar dan tingkat pembangunan olahraga yang terkait pada aspek kebugaran jasmani masyarakat. Populasi dalam penelitian ini telah ditentukan oleh Kemenpora dan Dispora Kalimantan Selatan dengan menunjuk Dispora Kabupaten Banjar untuk menentukan populasi dan sampel yang akan di teliti oleh peneliti. Dalam hal ini Dispora Kabupaten Banjar memilih 3 Kecamatan sebagai populasi yaitu Kecamatan Martapura Kota, Kecamatan Martapura Timur, Kecamatan Karang Intan serta sampel berjumlah 100 individu pria dan wanita. Dalam penelitian Masyarakat Kabupaten Banjar Kalimantan Selatan didapatkan yaitu, analisis hasil dari indeks pembangunan olahraga Masyarakat Kabupaten Banjar dalam rumus indeks dimensi kebugaran jasmani masyarakat dari setiap kecamatan nilainya ialah: Kecamatan Martapura Kota 0.296, Kecamatan Martapura Timur 0.271, Kecamatan Karang Intan 0.372, maka hasil dari kebugaran jasmani masyarakat Kabupaten Banjar adalah 0.310 setara atau sama dengan 31%. Hasil pembangunan olahraga pada aspek kebugaran jasmani masyarakat di beberapa Kecamatan masuk kategori rendah dan perlu diperhatikan lebih lanjut. Hal ini merupakan pencapaian pembangunan olahraga pada aspek kebugaran jasmani masyarakat yang kurang baik bagi pemerintah daerah Kabupaten Banjar
Influence the dopant concentration on the photocatalytic activity: Dy3+, Eu3+ doped TiO2
No full textAn Enhanced Similarity Measure–Driven K-Nearest Neighbor Framework for Categorical Data Classification
No full textMachine learning provides effective answers to real-world classification issues by combining supervised approaches (e.g., regression, SVMs, decision trees, neural networks) and unsupervised techniques (e.g., clustering, PCA). Comparing categorical data to numerical data reveals that the former is still understudied. This study compares three variations of the K-Nearest Neighbors (KNN) algorithm, Dice Coefficient KNN (DKNN), Overlap Coefficient KNN (OKNN), and Simple Match Coefficient KNN (SMKNN) on three categorical datasets: Malware Detection, Hospital Readmission (Kaggle) and Mushroom (UCI Repository). Each variation improves classification performance by incorporating a unique similarity metric. Recall, accuracy, precision, and F1-score were used to evaluate the models. According to experimental results, SMKNN consistently performed better than the other variations, obtaining an average F1-score of 93.3%, accuracy of 88.29%, precision of 89.33%, and recall of 98%. With an F1-score of 91% and an average accuracy of 83.89%, OKNN came in second, while DKNN did worse with an accuracy of 73.74%. These results demonstrate the stability and promise of SMKNN as a dependable model for categorical data classification, highlighting its exceptional and flexible performance across a variety of datasets. The study gives useful information for identifying the best KNN variations for data-driven applications
Biopolymer blended films of poly(butylene succinate)/cyclic olefin copolymer with enhanced mechanical strength for packaging applications
No full textOutbreak investigation of NDM-producing Burkholderia cepacia causing neonatal sepsis in Pakistan
No full textAim: To investigate the outbreak of Burkholderia cepacia complex (BCC), mortality, antimicrobial resistance and associated risk factors in the neonatal intensive care unit. Method: Eighteen blood culture samples from neonates and twenty swab samples from different neonatal intensive care unit surfaces were collected. The VITEK 2 was used to confirm the isolates and generate the antibiogram. PCR was used to identify blaNDM. Results: Eighteen samples tested positive for BCC, and 10/18 (55.5%) of the neonates died. 13/18 (72%) of the neonates had late-onset neonatal sepsis, and 10/18 (55%) had low birth weight. Resistance to minocycline and chloramphenicol was 100%, 72.2% to meropenem; 72.2% NDM gene was found in neonates and was 20% from the environment. Conclusion: Outbreak of NDM-producing BCC resulting in high neonatal mortality in NICU
