A Direct-reading Instrument for the Measurement of Noise Factor, and its Application to the Testing of Microwave Mixer Crystals

1948 ◽  
Vol 25 (9) ◽  
pp. 295-298
Author(s):  
L A G Dresel ◽  
L A Moxon ◽  
E E Schneider
2006 ◽  
Author(s):  
E. Kennedy ◽  
M. Woebkenberg ◽  
P. Schlecht ◽  
D. Bartley ◽  
S. Shulman ◽  
...  
Keyword(s):  

2014 ◽  
Vol 11 (2) ◽  
Author(s):  
Teguh Satria Amin ◽  
Eddi Setia ◽  
Lince Sihombing

This research investigates 1) students’ achievement in reading comprehension taught by using Direct Reading Thinking Activity (DR-TA) strategy is higher than taught by using Know, What to Learn, and Learned (KWL) strategy, 2) students’ achievement in reading comprehension with impulsive learning style is higher than students’ achievement in reading comprehension with reflective learning style, and (3) there is  interaction between teaching strategies and learning styles on the students’ achievement. Two classes containing of 70 students were chosen as sample by apllying cluster random sampling technique. The experimental group 1 was treated by using DR-TA and the experimental group 2 was treated by using KWL. The students’ achievement was measured by using test. The questionnaire was conducted to find out the students’ learning style. The data were analyzed by applying two-ways analysis of variance. The findings show that (1) the students’ achievement in reading comprehension taught by using DR-TA higher than using KWL; (2) students’ achievement in reading comprehension with impulsive learning style is lower than that with reflective learning style; (3) there is interaction between teaching strategies and learning styles on the students’ achievement in reading comprehension. The analysis revealed that the teaching strategies significantly affected the students’ reading achievement.   Keywords: DR-TA, KWL, Impulsive Learning Style, Reflective Learning Style, Reading Comprehension


Author(s):  
Alexander Driyarkoro ◽  
Nurain Silalahi ◽  
Joko Haryatno

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.


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