• 제목/요약/키워드: complex averaging method

검색결과 16건 처리시간 0.019초

신경회로망을 이용한 엔드밀 가공의 비절삭력계수 모델링 (Specific Cutting Force Coefficients Modeling of End Milling by Using Neural Network)

  • 이신영;이장무
    • 대한기계학회논문집A
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    • 제23권6호
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    • pp.979-987
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    • 1999
  • In a high precision vertical machining center, the estimation of cutting forces is important for many reasons such as prediction of chatter vibration, surface roughness and so on, and cutting forces are difficult to predict because they are very complex and time variant. In order to predict the cutting forces of end-milling process for various cutting conditions, a mathematical model is important and this model is based on chip load, cutting geometry, and the relationship between cutting forces and chip loads. Specific cutting force coefficients of the model have been obtained as interpolation function types by averaging farces of cutting tests. In this paper, the coefficients are obtained by neural network and the results of the conventional method and those of the proposed method are compared. The results show that the neural network method gives more correct values than the function type and that in teaming stage as the omitted numbers of experimental data increases the average errors increase.

기관축계의 비선형 다자유도 강제 비틀림진동에 관한 연구 (A Study on the Non-linear Forced Torsional Vibration for Propulsion Shaftings with Multi-Degree-of-Freedom System)

  • 김수철;이문식;장민오;김의간
    • Journal of Advanced Marine Engineering and Technology
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    • 제24권6호
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    • pp.7-14
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    • 2000
  • Nowadays, the viscous damper using high viscosity oil was much to be used for engine shafting system to reduce the excessive additional stress by torsional vibration. In general, it was assumed that the viscous damper could be modelled having only damping coefficient, that is to say, whose stiffness be ignored. But it is found that there exists a jump phenomenon, as a kind of non-linear vibration, in the actual engine shafting system with a damper of high viscosity. Therefore the damper ring and the casing are modelled as two mass elastic system with a complex viscosity. Also, to analyze a non-linear phenomenon, it is assumed that the viscous damper has a linear stiffness coefficient in proportion to the angular amplitude and a non-linear stiffness coefficient in proportion to cube of the angular amplitude. For the analysis, Quasi-Newton method with BFGS(Broyden-Fletcher-Goldfarb-Shanno) formula is used. Both calculated and measured values are provided in this paper which confirm the possibility of applying non-linear theory to engine shafting system with viscous damper.

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Performance Enhancement of Automatic Wood Classification of Korean Softwood by Ensembles of Convolutional Neural Networks

  • Kwon, Ohkyung;Lee, Hyung Gu;Yang, Sang-Yun;Kim, Hyunbin;Park, Se-Yeong;Choi, In-Gyu;Yeo, Hwanmyeong
    • Journal of the Korean Wood Science and Technology
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    • 제47권3호
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    • pp.265-276
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    • 2019
  • In our previous study, the LeNet3 model successfully classified images from the transverse surfaces of five Korean softwood species (cedar, cypress, Korean pine, Korean red pine, and larch). However, a practical limitation exists in our system stemming from the nature of the training images obtained from the transverse plane of the wood species. In real-world applications, it is necessary to utilize images from the longitudinal surfaces of lumber. Thus, we improved our model by training it with images from the longitudinal and transverse surfaces of lumber. Because the longitudinal surface has complex but less distinguishable features than the transverse surface, the classification performance of the LeNet3 model decreases when we include images from the longitudinal surfaces of the five Korean softwood species. To remedy this situation, we adopt ensemble methods that can enhance the classification performance. Herein, we investigated the use of ensemble models from the LeNet and MiniVGGNet models to automatically classify the transverse and longitudinal surfaces of the five Korean softwoods. Experimentally, the best classification performance was achieved via an ensemble model comprising the LeNet2, LeNet3, and MiniVGGNet4 models trained using input images of $128{\times}128{\times}3pixels$ via the averaging method. The ensemble model showed an F1 score greater than 0.98. The classification performance for the longitudinal surfaces of Korean pine and Korean red pine was significantly improved by the ensemble model compared to individual convolutional neural network models such as LeNet3.

The gene expression programming method to generate an equation to estimate fracture toughness of reinforced concrete

  • Ahmadreza Khodayari;Danial Fakhri;Adil Hussein, Mohammed;Ibrahim Albaijan;Arsalan Mahmoodzadeh;Hawkar Hashim Ibrahim;Ahmed Babeker Elhag;Shima Rashidi
    • Steel and Composite Structures
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    • 제48권2호
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    • pp.163-177
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    • 2023
  • Complex and intricate preparation techniques, the imperative for utmost precision and sensitivity in instrumentation, premature sample failure, and fragile specimens collectively contribute to the arduous task of measuring the fracture toughness of concrete in the laboratory. The objective of this research is to introduce and refine an equation based on the gene expression programming (GEP) method to calculate the fracture toughness of reinforced concrete, thereby minimizing the need for costly and time-consuming laboratory experiments. To accomplish this, various types of reinforced concrete, each incorporating distinct ratios of fibers and additives, were subjected to diverse loading angles relative to the initial crack (α) in order to ascertain the effective fracture toughness (Keff) of 660 samples utilizing the central straight notched Brazilian disc (CSNBD) test. Within the datasets, six pivotal input factors influencing the Keff of concrete, namely sample type (ST), diameter (D), thickness (t), length (L), force (F), and α, were taken into account. The ST and α parameters represent crucial inputs in the model presented in this study, marking the first instance that their influence has been examined via the CSNBD test. Of the 660 datasets, 460 were utilized for training purposes, while 100 each were allotted for testing and validation of the model. The GEP model was fine-tuned based on the training datasets, and its efficacy was evaluated using the separate test and validation datasets. In subsequent stages, the GEP model was optimized, yielding the most robust models. Ultimately, an equation was derived by averaging the most exemplary models, providing a means to predict the Keff parameter. This averaged equation exhibited exceptional proficiency in predicting the Keff of concrete. The significance of this work lies in the possibility of obtaining the Keff parameter without investing copious amounts of time and resources into the CSNBD test, simply by inputting the relevant parameters into the equation derived for diverse samples of reinforced concrete subject to varied loading angles.

THE CURRENT STATUS OF BIOMEDICAL ENGINEERING IN THE USA

  • Webster, John G.
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1992년도 춘계학술대회
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    • pp.27-47
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    • 1992
  • Engineers have developed new instruments that aid in diagnosis and therapy Ultrasonic imaging has provided a nondamaging method of imaging internal organs. A complex transducer emits ultrasonic waves at many angles and reconstructs a map of internal anatomy and also velocities of blood in vessels. Fast computed tomography permits reconstruction of the 3-dimensional anatomy and perfusion of the heart at 20-Hz rates. Positron emission tomography uses certain isotopes that produce positrons that react with electrons to simultaneously emit two gamma rays in opposite directions. It locates the region of origin by using a ring of discrete scintillation detectors, each in electronic coincidence with an opposing detector. In magnetic resonance imaging, the patient is placed in a very strong magnetic field. The precessing of the hydrogen atoms is perturbed by an interrogating field to yield two-dimensional images of soft tissue having exceptional clarity. As an alternative to radiology image processing, film archiving, and retrieval, picture archiving and communication systems (PACS) are being implemented. Images from computed radiography, magnetic resonance imaging (MRI), nuclear medicine, and ultrasound are digitized, transmitted, and stored in computers for retrieval at distributed work stations. In electrical impedance tomography, electrodes are placed around the thorax. 50-kHz current is injected between two electrodes and voltages are measured on all other electrodes. A computer processes the data to yield an image of the resistivity of a 2-dimensional slice of the thorax. During fetal monitoring, a corkscrew electrode is screwed into the fetal scalp to measure the fetal electrocardiogram. Correlations with uterine contractions yield information on the status of the fetus during delivery To measure cardiac output by thermodilution, cold saline is injected into the right atrium. A thermistor in the right pulmonary artery yields temperature measurements, from which we can calculate cardiac output. In impedance cardiography, we measure the changes in electrical impedance as the heart ejects blood into the arteries. Motion artifacts are large, so signal averaging is useful during monitoring. An intraarterial blood gas monitoring system permits monitoring in real time. Light is sent down optical fibers inserted into the radial artery, where it is absorbed by dyes, which reemit the light at a different wavelength. The emitted light travels up optical fibers where an external instrument determines O2, CO2, and pH. Therapeutic devices include the electrosurgical unit. A high-frequency electric arc is drawn between the knife and the tissue. The arc cuts and the heat coagulates, thus preventing blood loss. Hyperthermia has demonstrated antitumor effects in patients in whom all conventional modes of therapy have failed. Methods of raising tumor temperature include focused ultrasound, radio-frequency power through needles, or microwaves. When the heart stops pumping, we use the defibrillator to restore normal pumping. A brief, high-current pulse through the heart synchronizes all cardiac fibers to restore normal rhythm. When the cardiac rhythm is too slow, we implant the cardiac pacemaker. An electrode within the heart stimulates the cardiac muscle to contract at the normal rate. When the cardiac valves are narrowed or leak, we implant an artificial valve. Silicone rubber and Teflon are used for biocompatibility. Artificial hearts powered by pneumatic hoses have been implanted in humans. However, the quality of life gradually degrades, and death ensues. When kidney stones develop, lithotripsy is used. A spark creates a pressure wave, which is focused on the stone and fragments it. The pieces pass out normally. When kidneys fail, the blood is cleansed during hemodialysis. Urea passes through a porous membrane to a dialysate bath to lower its concentration in the blood. The blind are able to read by scanning the Optacon with their fingertips. A camera scans letters and converts them to an array of vibrating pins. The deaf are able to hear using a cochlear implant. A microphone detects sound and divides it into frequency bands. 22 electrodes within the cochlea stimulate the acoustic the acoustic nerve to provide sound patterns. For those who have lost muscle function in the limbs, researchers are implanting electrodes to stimulate the muscle. Sensors in the legs and arms feed back signals to a computer that coordinates the stimulators to provide limb motion. For those with high spinal cord injury, a puff and sip switch can control a computer and permit the disabled person operate the computer and communicate with the outside world.

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한국인 뇌 표준판과 해부학적 및 세포구축학적 확률뇌지도를 이용한 뇌영상 정량화 (Quantification of Brain Images Using Korean Standard Templates and Structural and Cytoarchitectonic Probabilistic Maps)

  • 이재성;이동수;김유경;김진수;이종민;구방본;김재진;권준수;유태우;장기현;김선일;강혜진;강은주
    • 대한핵의학회지
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    • 제38권3호
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    • pp.241-252
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    • 2004
  • 목적: 다수의 뇌 자료를 기반으로 구성된 통계적 화률뇌지도는 복잡하고 개인적인 편차가 큰 뇌의 형태학적, 기능적 특성을 분석하는데 유용하다. 특히 최근에 한국인의 정상 MR 영상을 기반으로 한 구조적 기능적 뇌 표준판과 구조적 확률뇌지도가 완성되었으며. 부검뇌의 조직절편을 활용한 세포구축학적 확률뇌지도가 도입되었다. 이 연구에서는 이들 자료를 활용하여 뇌 영상의 국소계수를 객관적으로 측정하기 위한 정량화 기법을 개발하였으며, 이를 이용하여 정상 한국인의 뇌 영상자료를 분석하였다. 대상 및 방법 : T1 MRI와 FDG PET에 대한 뇌 표준판을 성별, 연령별로 개발하였으며, 한국인 정상 MR 영상으로 만들어진 89개 뇌 영역의 구조적 확률뇌지도와 독일 율리히 연구센터에서 도입한 13개 브로드만 영역에 대한 세포구축학적 확률뇌지도를 뇌 표준판 위로 각각 비선형 변환하였다. 확률뇌지도에 정의된 각 뇌 영상의 국소계수는 확률에 의한 가중평균 또는 가중합으로 구하였다. 확률뇌지도를 이용한 예비 연구로 정상 노화에 따른 포도당대사의 변화가 대상회 내에서 전 후 위치에 따라 다르게 나타나는 가를 조사하였다. 결과: SPM과의 연계된 사용을 고려하여 Matlab 상에서 작성된 정량화 프로그램은 20초 미만에 1개의 공간정규화된 영상을 처리할 수 있었다. 대상회 포도당 대사에 대한 분석에서 후대상회에 대한 문측-전대상회 및 미측-전대상회의 계수 비는 정상 노화에 따라 매우 유의하게 감소하였다. 즉. 문측-전대상회/후대상회는 매 10년마다 3.1%씩 감소하였으며($P<10^{-11}$, r=0.81) 미측-전대상회/후대상회는 1.7%씩 감소하였다($P<10^{-8}$, r=0.72). 문측-전대상회와 미측-전대상회의 계수비 감소 역시 유의하였다(P<0.0005. r=0.52, 1.5%/year). 결론: 서양인 뇌에 기반한 확률뇌지도는 그동안 제한적으로만 사용되어 왔으나 한국인 뇌 표준판과 확률뇌지도 및 이 연구에서 개발한 정량화 기법은 일반에 공개하기로 하여 더욱 널리 쓰이게 되면 국내 뇌 연구 활성화에 기여할 것으로 기대 된다.