Optical Fiber Communication Affected by Magnetic Field of a Straight Conductor

Abstract

This paper deals with the effect of magnetic field of a straight Conductor on data transmission in optical fiber communication systems. A proposed method utilized to measure the stability of system performance. The experimental and simulation results demonstrated that the system instability increases effectively under the effect of external Magnetic Field. The experimental results show linear dependence of the output power fluctuation with the low magnetic field. Furthermore, for higher magnetic field values the maximum probability values of the output power close to110%. Moreover, high values of Q-factor (≥ 6) indicate a lower rate of received signal loss and the effect of the external magnetic field can be neglected in common applications.

Isolation and Identification of Entomopathogenic Fungi from of Green Peach Aphid Myzus Persicae and Evaluation of Their Activity for Insect Control

“…The results show the presence of bands with a size of 650 base pairs, which indicates the accuracy of this test. Table (5) shows the molecular diagnosis of these isolates to the level of species, as the results included in this table show the percentage of similarity between the isolates of entomopathogenic fungi and their conformity with the globally registered fungal species in NCBI. The similarity ratio reached 97.51 -99.80% with the globally registered strains, which confirms the accuracy of the diagnosis.…”

“…As well as many fungal species that have proven their entomopathogenic efficiency were recorded such as Beauveria bassiana, Metharhizum anisopliae and Isaria fumosoroseus [4] . In Iraq, [5] through field surveys, recorded several entomopathogenic fungi in 14 regions from the north, middle and south of iraq, including B. bassiana, M.anisopliae, Fusarium sp, Pacilomyces lilacinus and Lecanicillium leacnii. The phenotypic diagnosis of entomopathogenic fungi is one of the confusing methods if diagnosed to the level of the species, therefore, molecular diagnostic techniques based on the Polymerase Chain Reaction (PCR) including analysis of the nucleotide sequences of the 5.8 srRNA gene are the most accurate in diagnosing these fungi [6].…”