A compact multiband bandpass filter (BPF) based on folded dual crossed open stubs (DCOS) is designed and analyzed. Two Crossed Open Stubs (COS) are used to generate concurrent sixband BPF, where the center frequency located at 0.95 GHz, 1.85 GHz, 2.65 GHz, 3.35 GHz, 4.375 GHz, and 5.25 GHz. The proposed BPF based on folded Dual Crossed Open Stubs (DCOS) is an expansion of tri-band BPF based on a single COS, where the second COS is used to generate second additional tri-band. To achieve miniaturization structure of proposed BPF, the DCOS is folded. The proposed BPF will be designed and analyzed by using Advanced System Design (ADS). The performances of multiband BPF which characterized by return loss, insertion loss, voltage standing wave ratio (VSWR), and group delay, are conducted by simulation, measurement and analysis. It is shown that the simulation and fabrication results of insertion loss, return loss, VSWR, and group delay of the proposed multiband BPF are satisfied to design requirements. However, the center frequencies of fabricated the proposed multiband BPF are shifted average to 530 MHz lead to simulated results. This is due to some errors in fabricated process including imperfect dimension of fabricated BPF, soldering between connector to substrate and cable losses.

Multi spectral capacitive sensor (MSCS) is a sensor that is formed based on the concept of white noise impedance spectroscopy. This concept utilizes the spectral noise frequency approach of the frequency domain signal resulting from the field effect on the dielectric. As a sensor, the consistency results obtained is stable, so that it can facilitate analysis. In this study, we tried to compare data groups, starting with 100 data sets and 300 data sets from a total of 600 data sets for H2O and H2O mixed with NaOH materials and H2O mixed with HCl using a new transformation, namely Tamsir statistical transformation (TST). Furthermore, grouping data uses the total amplitude value of each data set obtained. We obtain the results in the form of differences between groups of data with fluctuations in response patterns that are close together which are shown in 2D graphics. Hence, we can implement the data groups as a reference pattern of fluctuations in a material.

Electrical capacitance volume tomography (ECVT)

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