RF MEMS Based Tunable Bowtie Shaped Substrate Integrated Waveguide Filter

A tunable bandpass filter based on a technique that utilizes substrate integrated waveguide (SIW) and double coupling is presented. The SIW based bandpass filter is implemented using a bowtie shaped resonator structure. The bowtie shaped filter exhibits similar performance as found in rectangular and circular shaped SIW based bandpass filters. This concept reduces the circuit foot print of SIW; along with miniaturization high quality factor is maintained by the structure. The design methodology for single-pole triangular resonator structure is presented. Two different inter-resonator couplings of the resonators are incorporated in the design of the two-pole bowtie shaped SIW bandpass filter, and switching between the two couplings using a packaged RF MEMS switch delivers the tunable filter. A tunning of 1 GHz is achieved for two frequency states of 6.3 and 7.3 GHz. The total size of the circuit is 70mm x 36mm x 0.787 mm (LxWxH)

Analysis of combined approaches of CBIR systems by clustering at varying precision levels

The image retrieving system is used to retrieve images from the image database. Two types of Image retrieval techniques are commonly used: content-based and text-based techniques. One of the well-known image retrieval techniques that extract the images in an unsupervised way, known as the cluster-based image retrieval technique. In this cluster-based image retrieval, all visual features of an image are combined to find a better retrieval rate and precisions. The objectives of the study were to develop a new model by combining the three traits i.e., color, shape, and texture of an image. The color-shape and color-texture models were compared to a threshold value with various precision levels. A union was formed of a newly developed model with a color-shape, and color-texture model to find the retrieval rate in terms of precisions of the image retrieval system. The results were experimented on on the COREL standard database and it was found that the union of three models gives better results than the image retrieval from the individual models. The newly developed model and the union of the given models also gives better results than the existing system named cluster-based retrieval of images by unsupervised learning (CLUE)

Equivalent Circuit Modeling of the Dielectric Loaded Microwave Biosensor

This article describes the modeling of biological tissues at microwave frequency using equivalent lumped elements. A microwave biosensor based on microstrip ring resonator (MRR), that has been utilized previously for meat quality evaluation is used for this purpose. For the first time, the ring-resonator loaded with the lossy and high permittivity dielectric material, such as; biological tissue, in a partial overlay configuration is analyzed. The equivalent circuit modeling of the structure is then performed to identify the effect of overlay thickness on the resonance frequency. Finally, the relationship of an overlay thickness with the corresponding RC values of the meat equivalent circuit is established. Simulated, calculated and measured results are then compared for validation. Results are well agreed while the observed discrepancy is in acceptable limit

Pengaruh Produksi, Harga, Dan Nilai Tukar Terhadap Volume Ekspor (Studi Pada Volume Ekspor Biji Kakao Indonesia Periode Januari 2010-desember 2015)

Understanding the concept of production, price, and exchange rate are objective of this research. The research was an explanatory research with quantitative approach. Secondary data which used were monthly period data from January 2010 – December 2015. Regarding the used period, total data which used is sixty. The output from this research: simultaneously, three dependent variable which used have significant affect with dependent variable. Partially, the production variable didn\u27t have significant affect, meanwhile International price and exchange rate have significant influence. Regarding the result, cocoa beans producers should improve the quality of cocoa beans which produced to enhance the national economic growth. The growth of export volume of Indonesia cocoa beans would enhance the economic growth that is useful for national welfare

Neural network-based diagnostic tool for detecting stator inter-turn faults in line start permanent magnet synchronous motors

Three-phase line-start permanent magnet synchronous motors are considered among the most promising types of motors in industrial applications. However, these motors experience several faults, which may cause significant financial losses. This paper proposed a feed-forward neural network-based diagnostic tool for accurate and fast detection of the location and severity of stator inter-turn faults. The input to the neural network is a group of representative statistical and frequency-based features extracted from the steady-state three-phase stator current signals. The current signals with different numbers of shorted turns and loading conditions are captured using the developed finite element JMAG ™ model for interior mount LSPMSM. In addition, an experimental set-up was built to validate the finite element model and the proposed diagnostics tool. The simulation and experimental test results showed an overall accuracy of 93.125% in detecting the location and the size of inter-turn, whereas, the accuracy in detecting the location of the fault is 100%

Histopathological observations of the liver of albino rats orally exposed to the African black soap (Sabulun salo)

Aim: This is to determine the effect of oral administration of the sabulun salo (African traditional black soap) on the liver of albino rats. It is commonly produced and widely used in the Northern part of Nigeria and other parts of the country for herbal medication. Methods: Twenty (20) albino rats were divided into four groups of three test groups and a control group. The albino rats were administered with different concentrations of sabulun salo for the period of two weeks. The groups (AC, BC and FC) received 2000mg/kg, 3000mg/kg and 4000mg/kg of the sabulun salo respectively. And the control group received normal feed. Results: At end of the intervention, the albino rats were sacrificed and the livers were removed and processed for paraffin embedding. The blood samples were also collected for the biochemical and hematological analysis. At the end the analysis, the liver presented a normal histo-morphology across all the groups, the hematological and biochemical analysis showed some significant changes in the entire groups and the reduction in water and food consumption as the concentrations increased. There were also significant increased in white blood cell, hemoglobin and packed cell volume in the entire groups except in group FC when compared to the control and a haphazard changes in the blood biochemical parameters Conclusion: The results of this research have shown that the African traditional black soap (Sabulun Salo) is histologically non toxic to the liver of the albino rats exposed

Threat assessment algorithm for Active Blind Spot Assist system using short range radar sensor

Road safety has become more concern due to the number of accidents that keeps increasing every year. The safety systems include from simple installation such as seat belt, airbag, and rear camera to more complicated and intelligent systems such as braking assist, lane change assist, steering control and blind spot monitoring. This paper proposes another intelligent safety system to be implemented in passenger vehicle by monitoring the blind-spot region by using automotive short range radar as sensor to assess its surrounding. This system is called Active Blind-Spot Assist (ABSA) system and this system will collaborate with a Steering Intervention system for autonomous steering maneuvers. The objective of ABSA system is to deploy safety interventions by giving warning to the driver whenever other vehicle is detected within the blind-spot region. Furthermore, this active system also triggers autonomous steering control when the potential of collision with the detected vehicle increases greatly. Consequently, a threat assessment algorithm is developed to evaluate the right moment to give safety interventions to the driver and the conditions for autonomous steering maneuvers. The process of developing the threat assessment algorithm explained in this paper

Steering intervention strategy for side lane collision Avoidance

Advance Driver Assistance Systems (ADAS) have successfully been integrated in many vehicles; however, the research on its improvement is still on-going. Some of the features of ADAS include Lane Departure warning System, Blind Spot detection, Lane Change Assistance and etc. However, with such systems available, accidents still occurred due to the driver's lack of awareness and negligence towards the given indication and warning, especially situation related to side lane collision. Thus, this paper aims to propose a simple steering intervention control. If the driver still proceed for the lane change when there are other object appearing in the blind spot area, the proposed solution will automatically trigger vehicle evasion mode to avoid side lane collision. The system does not take into account comfort in order to warn the driver. The system was tested and validated using a test vehicle. The results show that the steering intervention provides good vehicle evasion results and hypothetically it may act as the final warning towards the person behind the wheel

I-Drive: Modular system architecture and hardware configuration for an intelligent Vehicle research platform

There are many researches in the field of autonomous and Intelligent Vehicle in Malaysia, but most of them never have the chance to be tested in actual environment due to constraints in terms of hardware and its configuration. Thus, this paper aims to share with other researchers in the field of Autonomous and Intelligent Vehicle with our independent modular-based system and hardware configuration of an Autonomous and Intelligent Vehicle research platform at our university. Each of the research projects are represented by a module and they are linked by a communication layer. The modules utilised the communication layers to transmit and received data as a part of system communication network, and finally this configuration build up the whole system. Through this approach, it is hoped that the contribution from each research project leads to fully autonomous vehicle and intelligent vehicle. The proposed modular system and hardware configuration have been successfully verified via our platform through lane-keeping research. The proposed platform is demonstrated via I-DRIVE (Intelligent Drive Vehicle) on the standard testing track and Malaysia highway road