• Title/Summary/Keyword: magnetic filter

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Numerical Design of Double Quantum Coherence Filter for the Detection of Myo-Inositol In vivo (인체 내 myo-Inositol 검출을 위한 수치해석적 이중양자 필터 디자인)

  • Lee, Yun-Jung;Jung, Jin-Young;Noh, Hyung-Joon;Yu, Ung-Sik;Kim, Hyeon-Jin
    • Investigative Magnetic Resonance Imaging
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    • v.13 no.2
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    • pp.117-126
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    • 2009
  • Purpose : A numerical method of designing a multiple quantum filter (MQF) is presented for the optimum detection of myo-inositol (mI), an important brain metabolite, by using in vivo proton nuclear magnetic resonance spectroscopy ($^1$-HMRS). Materials and Methods : Starting from the characterization of the metabolite, the filter design includes the optimization of the sequence parameters such as the two echo times (TEs), the mixing time (TM), and the flip angle and offset frequency of the 3rd $90^{\circ}$ pulse which converts multiple quantum coherences (MQCs) back into single quantum coherences (SQCs). The optimized filter was then tested both in phantom and in human brains. Results : The results demonstrate that the proposed MQF can improve the signal-to-background ratio of the target metabolite by a factor of more than three by effectively suppressing the signal from the background metabolites. Conclusion : By incorporating a numerical method into the design of MQFs in $^1$-HMRS the spectral integrity of a target metabolite, in particular, with a complicated spin system can be substantially enhanced.

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Digital Controller Design of a Magnetic Bearing System for High Speed Milling Spindle (고속 밀링 주축용 자기베어링 시스템의 디지털 제어기 설계)

  • 노승국;경진호;박종권
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.04a
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    • pp.398-403
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    • 2004
  • The demand of high speed machining is increasing because the high speed cutting providers high efficiency of process, short process time, improved metal removal capacity and better surface finish. Active magnetic bearings allow much high surface speed than conventional ball bearings and therefore greatly suitable for high speed cutting. The automatic control concept of magnetic bearing system provides ability of intelligent control of spindle system to increase accuracy and flexibility by means of adaptive vibration control. This paper describes a design and development of a milling spindle system which includes built-in motor with power 5.5㎾ and maximum speed 70,000rpm, HSK-32C tool holer and active magnetic bearing system. Magnetic actuators are designed for satisfying static load condition. The Performances of manufactured spindle system was examined for its static and dynamic stiffness, load capacity, and rotational accuracy. This spindle was run up to 70,000 rpm stably, which is 3.5 million DmN.

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A Study of the Exclusive Embedded A/D Converter Using the Microprocessor and the Noise Decrease for the Magnetic Camera (마이크로프로세서를 이용한 자기카메라 전용 임베디드형 AD 변환기 및 잡음 감소에 관한 연구)

  • Lee, Jin-Yi;Hwang, Ji-Seong;Song, Ha-Ryong
    • Journal of the Korean Society for Nondestructive Testing
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    • v.26 no.2
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    • pp.99-107
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    • 2006
  • Magnetic nondestructive testing is very useful far detecting a crack on the surface or near of the surface of the ferromagnetic materials. The distribution of the magnetic flux leakage (DMFL) on a specimen has to be obtained quantitatively to evaluate the crack. The magnetic camera is proposed to obtain the DMFL at the large lift-off. The magnetic camera consists of a magnetic source, magnetic lens, analog to digital converters (ADCs), interface, and computer. The magnetic leakage fields or the distorted magnetic fields from the object, which are concentrated on the magnetic lens, are converted to analog electrical signals tv arrayed small magnetic sensors. These analog signals are converted to digital signals by the ADCs, and are stored, imaged, and processed by the interface and computer. However the magnetic camera has limitations with respect to converting and switching speed, full range and resolution, direct memory access (DMA), temporary storage speed and volume because common ADCs were used. Improved techniques, such as those that introduce the operational amplifier (OP-Amp), amplify the signal, reduce the connection line, and use the low pass filter (LPF) to increase the signal to noise ratio are necessary. This paper proposes the exclusive embedded ADC including OP-Amp, LPF, microprocessor and DMA circuit for the magnetic camera to satisfy the conditions mentioned above.

The Magnetic Filtering Vacuum Arc Film Deposition System and Its Applications

  • Wang, G.F.;Zhang, H.X.;Zhang, H.J.;Zhu, H.
    • Journal of the Korean Vacuum Society
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    • v.6 no.S1
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    • pp.137-140
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    • 1997
  • A cathodic arc with beam filter is employed for the deposition of metallic and hydrogen-free amorphous carbon films. A solenoid filter is used to prevent macropaticles and nonionized atoms from reaching the substrate. The detail transport characters of the filter are presented in the paper. With an optmum filter arrangement we are able to obtain a filter output of 18.4% of the total number of ions produced by the vacuum arc discharge. The deposited amorphous cabon thin film contains no hydrogen and a high fraction of $sp^3$ is determined by XPS. A dense Ti film deposited on H13 steel improves the corrosion resistance of the H13 steel and significant improvements of corrosion resistance were observed by implanting Ti, C in the film.

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A Development of the Fault Detection System of Wire Rope using Magnetic Flux Leakage Inspection Method and Noise Filter (누설자속 탐상법 및 노이즈 필터를 이용한 와이어로프의 결함진단시스템 개발)

  • Lee, Young Jin;A, Mi Na;Lee, Kwon Soon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.3
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    • pp.418-424
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    • 2014
  • A large number of wire rope has been used in various industries such as cranes and elevators. When wire used for a long time, wire defects occur such as disconnection and wear. It leads to an accident and damage to life and property. To prevent this accident, we proposed a wire rope fault detection system in this paper. We constructed the whole system choosing the leakage fault detection method using hall sensors and the method is simple and easy maintenance characteristics. Fault diagnosis and analysis were available through analog filter and amplification process. The amplified signal is transmitted to the computer through the data acquisition system. This signal could be obtained improved results through the digital filter process.

Implementation of a modified TE$_{113}$/TM$_{012}$ triple-mode waveguide bandpass filter (변형된 TE$_{113}$/TM$_{012}$ 삼중모드 도파관 대역통과여파기의 구현)

  • 정근욱;이재현;박광량;김재명
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.33A no.11
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    • pp.70-77
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    • 1996
  • In this paper, a modifed TE$_{113}$/TM$_{012}$ triple-mode bandpass filter is implemented by using a modified inter-cavity iris in which the number of slots are reduced upto 50%. In a coventioanl iris two prirs of slot apertures are used to independently couple three resonant modes between two adjacent cavities. However, if transverse magnetic polarizability of a pair of veritcal slot apertures is used to control weak horizontal TE$_{h}$-TE$_{h}$ mode coupling, the width of novel iris slots would substitute for the slot length of the conventional iris, causing to eliminate the horizontal slot apertures. The measured data of two filters, which are the modified filter and ocnventional one, are compared. Experimental result shows that the characteristics of the novel triple-mode filter matches well that of the conventional filter.

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Underwater Hybrid Navigation Algorithm Based on an Inertial Sensor and a Doppler Velocity Log Using an Indirect Feedback Kalman Filter (간접 되먹임 필터를 이용한 관성센서 및 초음파 속도센서 기반의 수중 복합항법 알고리듬)

  • 이종무;이판묵;성우제
    • Journal of Ocean Engineering and Technology
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    • v.17 no.6
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    • pp.83-90
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    • 2003
  • This paper presents an underwater hybrid navigation system for a semi-autonomous underwater vehicle (SAUV). The navigation system consists of an inertial measurement unit (IMU), and a Doppler velocity log (DVL), accompanied by a magnetic compass. The errors of inertial measurement units increase with time, due to the bias errors of gyros and accelerometers. A navigational system model is derived, to include the scale effect and bias errors of the DVL, of which the state equation composed of the navigation states and sensor parameters is 20. The conventional extended Kalman filter was used to propagate the error covariance, update the measurement errors, and correct the state equation when the measurements are available. Simulation was performed with the 6-d.o,f equations of motion of SAUV, using a lawn-mowing survey mode. The hybrid underwater navigation system shows good tracking performance, by updating the error covariance and correcting the system's states with the measurement errors from a DVL, a magnetic compass, and a depth sensor. The error of the estimated position still slowly drifts in the horizontal plane, about 3.5m for 500 seconds, which could be eliminated with the help of additional USBL information.

GPS and Inertial Sensor-based Navigation Alignment Algorithm for Initial State Alignment of AUV in Real Sea (실해역 환경에서 무인 잠수정의 초기 상태 정렬을 위한 GPS와 관성 항법 센서 기반 항법 정렬 알고리즘)

  • Kim, Gyu-Hyeon;Lee, Jihong;Lee, Phil-Yeob;Kim, Ho Sung;Lee, Hansol
    • The Journal of Korea Robotics Society
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    • v.15 no.1
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    • pp.16-23
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    • 2020
  • This paper describes an alignment algorithm that estimates the initial heading angle of AUVs (Autonomous Underwater Vehicle) for starting navigation in a sea area. In the basic dead reckoning system, the initial orientation of the vehicle is very important. In particular, the initial heading value is an essential factor in determining the performance of the entire navigation system. However, the heading angle of AUVs cannot be measured accurately because the DCS (Digital Compass) corrupted by surrounding magnetic field in pointing true north direction of the absolute global coordinate system (not the same to magnetic north direction). Therefore, we constructed an experimental constraint and designed an algorithm based on extended Kalman filter using only inertial navigation sensors and a GPS (Global Positioning System) receiver basically. The value of sensor covariance was selected by comparing the navigation results with the reference data. The proposed filter estimates the initial heading angle of AUVs for navigation in a sea area and reflects sampling characteristics of each sensor. Finally, we verify the performance of the filter through experiments.

Morphological Operations to Segment a Tumor from a Magnetic Resonance Image

  • Thapaliya, Kiran;Kwon, Goo-Rak
    • Journal of information and communication convergence engineering
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    • v.12 no.1
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    • pp.60-65
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    • 2014
  • This paper describes an efficient framework for the extraction of a brain tumor from magnetic resonance (MR) images. Before the segmentation process, a median filter is used to filter the image. Then, the morphological gradient is computed and added to the filtered image for intensity enhancement. After the enhancement process, the thresholding value is calculated using the mean and the standard deviation of the image. This thresholding value is used to binarize the image followed by the morphological operations. Moreover, the combination of these morphological operations allows to compute the local thresholding image supported by a flood-fill algorithm and a pixel replacement process to extract the tumor from the brain. Thus, this framework provides a new source of evidence in the field of segmentation that the specialist can aggregate with the segmentation results in order to soften his/her own decision.

Asymmetric channel model for a perpendicular magnetic recording system with a ring-head (Ring-헤드를 갖는 수직 자기기록 시스템을 위한 비대칭 채널 모델)

  • Lee, Joo-Hyun;Lee, Jae-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.1C
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    • pp.45-49
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    • 2004
  • An image enhancement method using modified anisotropic diffusion filter is proposed in this paper. It employs sensor noise estimation and scale space methods based on the minimum reliable scale. Then the anisotropic diffusion filter is modified by the calculated critical value function and local gradient. Through simulation, it is verified that the proposed algorithm has the capability of little or no noise amplification in homogenous region as well as superior edge enhancement.