• Korean Journal of Soil Science and Fertilizer
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• v.45 no.4
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• pp.628-634
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• 2012

Release of veterinary antibiotics (VSs) to agricultural environment through application of animal manure and/or animal manure-based composts to soils is of concern. The current study was conducted to examine decline of VAs during composting the chicken manure. For this, antibiotics free chicken manure (20 kg) and sawdust (10 kg) were added to the bench-scale composting apparatus and then the mixed material was spiked simultaneously with three VAs (chlortetracycline, CTC; sulfamethazine, SMZ; tylosin, TYL) at two different levels (10 and $20mg\;kg^{-1}$). Then the decline of VAs was determined using Charm II system during 53 composting period. For comparison, composting only chicken manure was included at VAs concentration of $10mg\;kg^{-1}$. During composting, the concentration of all three different VAs declined below the prospective guideline values ($0.8mg\;kg^{-1}$ for CTC, $0.2mg\;kg^{-1}$ for SMZ, and $1.0mg\;kg^{-1}$ for TYL) except CTC at $20mg\;kg^{-1}$ spiking when the chicken manure was composted together with sawdust. Interestingly, CTC at $10mg\;kg^{-1}$ spiking appeared to be declined under the guideline value without sawdust while SMZ was resistant to be declined without sawdust. Unlike CTC and SMZ, TYL showed immediate decline right after spiking TYL to composting materials regardless the spiking concentration and existence of sawdust. Appropriate composting procedure of chicken manure was able to decline the residual VAs in the manure below the prospective guideline value and the importance of organic substances on this decline was perceived.

• Geophysics and Geophysical Exploration
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• v.13 no.4
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• pp.323-329
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• 2010

Three deconvolution methods were applied to stacked seismic data obtained to investigate gas-hydrates in the Ulleung Basin, East Sea: (1) minimum-phase spiking deconvolution, (2) minimum-phase spiking deconvolution using an averaged wavelet from all traces, and (3) deterministic deconvolution using a wavelet with phases computed from well-logs. We analyzed the resolving property of these methods for lithological boundaries. The first deconvolution method increases temporal resolution but decreases lateral continuity. The second method shows, in an overall sense, similar results to the spiking deconvolution using a minimum phase wavelet for each trace; however, it results in a more consistent and continuous bottom-simulating reflector (BSR) and better resolved sub-BSR reflectors. The results from the third method reveal more detailed internal structures of debris-flow deposits and increased continuity of reflectors; in addition, the seafloor reflection and the BSR appear to have changed to a zero-phase waveform. These properties help more precisely estimate the distribution and reserves of gas hydrates in the exploration area by improving analysis of facies and amplitude of the BSR.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.29 no.6
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• pp.912-913
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• 1996

• Journal of Welding and Joining
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• v.29 no.4
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• pp.80-84
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• 2011

In the 5xxx series Al-Mg alloy, magnesium addition can increase the strength of aluminum alloy by solid solution strengthening but it has a relatively low melting and boiling temperature. During full -penetration laser welding of the Al-Mg alloys, its low boiling point and high vapor pressure brings about the spiky humping bead on the bottom side. Under back-side shielding, the spiking of back bead can be reduced but it restraints the process flexibility. In this study, a square pulse waveform modulation was employed to stabilize keyhole and back bead surface without back-side shielding. By using an experimental design, the bead shapes were evaluated for various process parameters such as the focal position, welding velocity and waveform parameters and the smooth back bead shape could be achieved.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.3
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• pp.69-74
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• 2022

SNN (Spiking Neural Network) operating in neuromorphic architecture was created by mimicking human neural networks. Neuromorphic computing based on neuromorphic architecture requires relatively lower power than typical deep learning techniques based on GPUs. For this reason, research to support various artificial intelligence models using neuromorphic architecture is actively taking place. This paper conducted a performance analysis of the speech recognition model based on neuromorphic architecture according to the speech data preprocessing technique. As a result of the experiment, it showed up to 84% of speech recognition accuracy performance when preprocessing speech data using the Fourier transform. Therefore, it was confirmed that the speech recognition service based on the neuromorphic architecture can be effectively utilized.

• Smart Media Journal
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• v.11 no.11
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• pp.32-39
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• 2022

As IoT applications that provide AI services increase, various hardware and software that support autonomous learning and inference are being developed. However, as the characteristics and constraints of each hardware increase difficulties in developing IoT applications, the development of an integrated platform is required. In this paper, we propose a tool for automatically generating components based on artificial neural networks and spiking neural networks as well as IoT technologies to be compatible with open platforms. The proposed component automatic generation tool supports the creation of components considering the characteristics of various hardware devices through the virtual component layer of IoT and AI and enables automatic application to open platforms.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.27 no.4
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• pp.327-334
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• 1994

This study was undertaken to clarify the effect of killing methods on the morphological and histological changes of plaice, Paralichthys olivaceus muscle at early stage after killing. Killed samples by the three different methods were stored at $5^{\circ}$, and the changes in breaking strength of muscle, morphological observation of myofibrils and histological observation of extracellular spaces through storage were monitored. Samples killed by electrifying in sea water showed the maximum value of breakin strength immediately after killing and then it dropped significantly(p<0.05) until 2.5hrs passed. Breaking strength of samples killed by spiking at the head instantly and dipping in sea water including anesthetic rose steadily over 10hrs and 15hrs after killing, respectively. In myofibrills prepared from dorsal muscles immediately after spiking at the head instantly, A-band, H-band, I-band, and Z-line in sarcomere were clearly distinguishable each other. Due to muscle contraction by electrical stimulation, it was impossible to distinguish H-band from I-band observed in sarcomere immediately after killing for samples killed by electrifying. But, in the cases of samples killed by spiking and dipping, H-band could be observed dimly until 10hrs and 15hrs storage. No extracellular space was observed among muscle cells immediately after spiking at the head instantly. Samples killed by spiking at the head instantly and dipping in sea water including anesthetic showed extracellular spaces among all muscle cells after 15hrs and 25hrs storage, respectively. The other hand, samples killed by electrifying in sea water (110V, 30sec.) showed a few extracellular spaces immediately after killing and then it showed extracellular spaces among all muscle cells after 2.5hrs storage.

• Smart Media Journal
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• v.11 no.2
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• pp.77-83
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• 2022

The neuromorphic architecture uses a spiking neural network (SNN) model to derive more accurate results as more spike values are accumulated through inference experiments. When the inference result converges to a specific value, even if the inference experiment is further performed, the change in the result is smaller and power consumption may increase. In particular, in an AI-based IoT environment, power consumption can be a big problem. Therefore, in this paper, we propose a technique to reduce the power consumption of AI-based IoT by reducing the inference time by adjusting the inference image exposure time in the neuromorphic architecture environment. The proposed technique calculates the next inferred image exposure time by reflecting the change in inference accuracy. In addition, the rate of reflection of the change in inference accuracy can be adjusted with a coefficient value, and an optimal coefficient value is found through a comparison experiment of various coefficient values. In the proposed technique, the inference image exposure time corresponding to the target accuracy is greater than that of the linear technique, but the overall power consumption is less than that of the linear technique. As a result of measuring and evaluating the performance of the proposed method, it is confirmed that the inference experiment applying the proposed method can reduce the final exposure time by about 90% compared to the inference experiment applying the linear method.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2000.04a
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• pp.49-52
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• 2000

A new composite manufacturing technique which combines winding and curing together is studied and analyzed. This method is especially suited to the manufacture of thick composite materials in which thermal spiking is a common problem. An experimental apparatus was designed and built for use with a filament winder to continuously cure a thick composite cylinder. A hoop-wound composite cylinder with 152 mm wall thickness was manufactured and embedded thermocouples and strain gages were monitored throughout the cure process. The experimental data were compared with analytical results.

• Journal of Chest Surgery
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• v.22 no.1
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• pp.158-162
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• 1989

This paper reports a case in a 16-year-old female of intrapulmonary teratoma located in the right upper and middle lobes of the lung. The initial symptoms were high spiking fever, cough and chest pain. Initial chest X-ray revealed large homogenous mass in the right upper and middle lung fields. So intercostal tube drainage was done under the impression of the lung abscess. But mass density was remained on the follow-up chest X-ray, the patient had resection of the right upper and middle lobes of the lung. The gross and microscopic findings of the resected specimen revealed characteristic findings of the intrapulmonary teratoma. The patient is asymtomatic at present and living a normal life.