Perbandingan Pengaruh Penempatan Arrester Sebelum dan Sesudah Fco sebagai Pengaman Transformator 3 Phasa terhadap Gangguan Surja Petir di Penyulang Pandean Lamper 5 Rayon Semarang Timur

Azis Nurrochma Wardana, Arkhan Subari, in paper comparison of the effect of placement arrester before and after FCO as safety of 3 phase transformator from interruption of lightning at Pandean Lamper 5 Feeder, East Semarang explain that problem of the studied is location of arrester at distribution which have is same function and target but owning location of different arrester. Location of arrester relate to wiring of arrester with transformer and fuse Cut Out (FCO) owning target to give protection at transformer of over voltage. In the last location of this arrester require to study again about its efficacy of its at transformer. Efficacy of pr otection at such transformer is efficacy of passed to protection is transformer by minimizing over voltage that happened at the transformer so that equipments and transformer which its of him do not experience of damage. By considering factor influencing the level of voltage of surge and current of surge that happened at each system, like wiring of arrester, length of wire, apart arrester which is utilized in system location of arrester, steepness of wave come, speed creep waving surge, and Basic InsulationLevel (BIL) equipments, so that is in the final got one of location of correct arrester as 20 kV distribution transformer protection

Simulasi Penentuan Lokasi Gangguan Satu Fasa pada Jaringan Tegangan Menengah 20 Kv Berbasis Arduino Mega 2560 Dilengkapi dengan Monitoring melalui Vtscada

Danu Nur Ashifa, Arkhan Subari in this paper explain that in a distribution network of 20 KV, short circuit interference often occurs. Short circuit interference will produce a fault current that is felt by protection equipment. Each fault current will differ depending on the distance of the interference. Determining the distance of interference can not be displayed in SCADA, SCADA will only display the amount of interference and which equipment works. Determination of distance is carried out after analysis by the officer. Based on this matter the compiler makes a simulation tool where the tool can monitor the location of the disturbance from the nearest protective equipment that feels a single phase short circuit interference. The simulation tool consists of Arduino Mega 2560 which functions as a control center. The input used is a potentiometer as a simulator of the impedance magnitude that occurs during a single phase short circuit where the potentiometer will provide input in the form of a signal. And Omron LY2N relay which functions as protection equipment. After the experiment, the results obtained are that the tool can determine the location of interference from the nearest protection equipment based on changes in the bits read by Arduino. The larger the bits read by Arduino, the more distant the interference occurs from the protection equipment. 125 bits will produce an Arduino impedance calculation of 2.6 ohms so that the fault location is 0 km from PMT while 1023 bits will produce an impedance calculation of 21.30 ohms so that the fault location is 4.5 km from SSO

Genetic Algorithm Artificial Neural Network in Near Infrared Spectroscopic Quantification

The implantation of a genetic algorithm (GA) in quantitating components of interest in near infraredspectroscopic analysis could improve the predictive ability of a regression model. Thus, this study investigates thefeasibility of a single layer Artificial Neuron Network (ANN) that trained with Levenberg-Marquardt (SLM) coupledwith GA in predicting the boiling point of diesel fuel and the blood hemoglobin using near infrared spectral data. Theproposed model was compared with a well-known model of Partial Least Squares (PLS) with and without GeneticAlgorithm. Results show that the proposed model achieved the best results with root mean square error of prediction(RMSEP) of 3.6734 and correlation coefficient of 0.9903 for the boiling point, and RMSEP of 0.2349 and correlationcoefficient of 0.9874 among PLS with and without GA, and SLM without GA. Findings suggest that the proposed SLMGA is insusceptible to the number of iterations when the SLM was trained with excessive iteration after the optimaliteration number. This indicates that the proposed model is capable of avoiding overfitting issue that due to excessivetraining iteration

Assessment of ionosphere models at Banting: Performance of IRI-2007, IRI-2012 and NeQuick 2 models during the ascending phase of Solar Cycle 24

The International Reference Ionosphere (IRI) and the NeQuick models have been recognised as the international standard for specifying Earth’s ionospheric parameters. However, the performance of these ionosphere models needs to be validated due to data scarcity from South-East Asian region for model development. This work presents the performance evaluation of IRI-2007, IRI-2012 and NeQuick 2 in estimating ionospheric Total Electron Content (TEC) at Banting (Geographic: 2.78°N, 101.51°E; Geomagnetic: 7.11°S, 173.77°E). For this purpose, TEC values estimated from these models have been compared with TEC values derived from dual-frequency Global Positioning System (GPS) data for the year 2011 (ascending phase of Solar Cycle 24). The results show that equatorial TEC exhibits semi-annual, annual, and seasonal variations with maximum values appearing during equinoctial months and minimum during solstitial months. Generally, ionospheric TEC produced by IRI and NeQuick 2 models are in good agreement with observed TEC. For diurnal variation, the IRI-2007 and NeQuick 2 models show good agreement during post-noon and post-midnight, respectively. Good correlation is observed during noon-time for all models. Disagreements between ionospheric models and observed TEC are found during post-sunset and post-midnight periods, with TEC deviation in the level of 11–14 TECU can be anticipated at 95% probability. On the other hand, TEC calculation from IRI-2012 is better than IRI-2007 and NeQuick 2 for monthly variation. All models score correlation coefficient above 0.9 with the highest correlation noticed during solstitial months. TEC deviation above 10 and up to 15 TECU can be expected in October with 95% probability. Overall, this work reveals that IRI and NeQuick 2 models are capable of predicting TEC with good correlation in most cases

BRAF GENE MUTATIONS AND PROGNOSTIC SIGNIFICANCE OF CLINICAL FINDINGS IN CASTLEMAN DISEASE

21st Congress of the European-Hematology-Association -- JUN 09-12, 2016 -- Copenhagen, DENMARKWOS: 000379484603023European Hematol Asso