Research of adaptability to manufacture of low signal transistor amplifiers by criterion of a minimum of noise factor

2002 ◽  
Author(s):  
D.S. Vilmitsky ◽  
Y.M. Lihanov
Keyword(s):  
Noise Factor ◽  
Adaptability To Manufacture

SIMULASI NEURAL NETWORK UNTUK PREDIKSI LOKASI USER PADA MOBILE NETWORK

2016 ◽  
Vol 9 (1) ◽  
Author(s):  
Alexander Driyarkoro ◽  
Nurain Silalahi ◽  
Joko Haryatno
Keyword(s):  
Neural Network ◽  
Mobile Station ◽  
Mobile Network ◽  
Learning Rate ◽  
Noise Factor ◽  
Optimal Learning ◽  
Air Interface ◽  
Location Area ◽  
Optimal Learning Rate

Prediksi lokasi user pada mobile network merupakan hal sangat penting, karena routing panggilan pada mobile station (MS) bergantung pada posisi MS saat itu. Mobilitas MS yang cukup tinggi, terutama di daerah perkotaan, menyebabkan pencarian (tracking) MS akan berpengaruh pada kinerja sistem mobile network, khususnya dalam hal efisiensi kanal kontrol pada air interface. Salah satu bentuk pencarian adalah dengan mengetahui perilaku gerakan yang menentukan posisi MS. Dari MSC/VLR dapat diketahui posisi MS pada waktu tertentu. Karena location area suatu MS selalu unik dari waktu ke waktu, dan hal itu merupakan perilaku (behaviour) MS, maka dapat dibuat profil pergerakannya. Dengan menggunakan Neural Network (NN) akan diperoleh location area MS pada masa yang akan datang. Model NN yang digunakan pada penelitian ini adalah Propagasi Balik. Beberapa parameter NN yang diteliti dalam mempengaruhi kinerja prediksi lokasi user meliputi noise factor, momentum dan learning rate. Pada penelitian ini diperoleh nilai optimal learning rate = 0,5 dan noise factor = 1.

scholarly journals Research of professional suitability in construction by the noise factor

2018 ◽  
Vol 245 ◽  
pp. 03012 ◽  
Author(s):  
Lilia Kireeva ◽  
Tatiana Kaverzneva ◽  
Dmitriy Tarkhov ◽  
Natalia Belina
Keyword(s):  
Risk Management ◽  
Human Activity ◽  
Injury Risk ◽  
Human Factor ◽  
Noise Factor ◽  
Construction Sites ◽  
External Effects ◽  
Safety Level ◽  
Risk Management Methodology ◽  
Influence Of Noise

The field of construction is one of the most traumatic areas of human activity. Various methods are used to reduce injuries and increase the safety level at construction sites, which do not allow to reduce the level of injury risk. In other industries characterized by heightened danger, the risk management methodology based on the “human factor” management is gaining popularity. By attracting the most relevant workers, we can compensate for a significant portion of the risks. The authors propose the use this concept in the field of construction. In this paper, a study of professional fitness in construction during work requiring an increased level of attention and reaction under the influence of noise factor was conducted. For this purpose, testing was per-formed to identify the dependencies between the external effects of noise and attention indicators. During the testing the subjects demonstrated various concentration abilities. We concluded that, using this methodology, it is possible to select “successfully fit” personnel to perform specific tasks in construction, in order to increase the level of safety.

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