• Asian-Australasian Journal of Animal Sciences
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• v.12 no.4
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• pp.565-572
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• 1999

Two experiments were conducted to determine the effects of conditioning (conventional vs expander) corn- and sorghum-based diets on production traits for lactating sows and finishing pigs. In Exp. 1, one hundred sixty-eight sows (parity 1-4, PIC line C15) were fed the corn or sorghum grain diets as a meal, standard (steam) conditioned pellets, or expanded pellets to give a $2{\times}3$ factorial arrangement of treatments. Pellet durability index (PDD was similar for the sorghum- vs corn-based diets, but increased when diets were expanded pellets for both corn- and sorghum-based diets. The corn-based meal diet supported 3.3% greater litter weight gain than the sorghum-based meal diet (44.0 kg vs 42.8 kg). However, the advantage for the corn-based diet disappeared with expander processing (ie., sows fed the sorghum-based diet responded more to diets processed with the alternative processing technology). Sow weight change during lactation was similar (p>0.15) among treatments, although average daily feed intake tended to be greater (p<0.09) for the sows fed sorghum. For Exp. 2, a total of 71 barrows (average initial weight of 58.0 kg) were used in a growth assay to determine the effects of feeding com- and sorghum-based diets, as meal or pellets, after processing with a conventional steam conditioner or an expander (high-shear) conditioner. PDI was not different for the sorghum- vs corn-based diets, but increased from 84 to 95% with expander conditioning compared to conventional steam conditioning. Rate and efficiency of gain, and carcass leanness were similar for pigs fed sorghum and corn (p>0.15). Efficiency of gain was greater (p<0.04) for pigs fed the pelleted (356 g/kg) diets compared to those given the meal (348 g/kg) diets. However, efficiencies of gain were similar (p>0.11) for pigs fed the conventional- and expander-conditioned diets. Pelleting increased (p<0.01) the incidence and severity of stomach lesions regardless of grain type. In conclusion, corn-based meal diet resulted in a greater litter weight gain than the sorghum-based meal diet. However, that advantage disappeared when the diets were expanded and pelleted. Finishing pigs fed pelleted diets were more efficient than those fed meal diets.

• Asian-Australasian Journal of Animal Sciences
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• v.16 no.2
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• pp.248-256
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• 2003

Two experiments were conducted to determine the effects of expander processing and enzyme supplementation of wheat-based diets on growth performance and nutrient digestibility in finishing pigs. For Exp. 1, 60 finishing pigs (average initial BW of 49.5 kg) were fed meal, standard pellets and expanded pellets in a 70 d growth assay. From 49.5 to 79.0 kg, 79.0 to 111.8 kg, and overall (49.5 to 111.8 kg), ADG and ADFI were not affected by pelleting or standard vs expander conditioning (p>0.22). However, from 49.5 to 79.0 kg, pigs fed pellets have greater gain/feed than pigs fed mash (p<0.04), and pigs fed expanded pellets tended to have greater (p<0.10) gain/feed than pigs fed standard pellets. Overall (i.e. from 49.5 to 111.8 kg), gain/feed (p<0.02) and apparent fecal digestibilities of DM (p<0.001) and N (p<0.02) were improved by pelleting the diets. Also, expander processing further improved gain/feed (p<0.06) and digestibility of DM (p<0.04) compared to standard steam conditioning. Scores for keratinization (p<0.002) and ulceration (p<0.003) of the stomach were increased by pelleting, but the mean scores for the various treatments ranged only from 0.05 to 1.08 (i.e., low to mild keratosis and ulceration). For Exp. 2, 80 pigs (average initial BW of 54.1 kg) were fed mash and pellets (standard or expander) without and with xylanase. The enzyme was added to supply 4,000 units of xylanase activity/kg of diet. Adding xylanase to the mash diet improved gain/feed from 90.7 to 115.9 kg (p<0.04) of the growth assay and digestibility of DM (p<0.05) on d 39. However, in pelleted diets, adding the enzyme did not improve growth performance or digestibility of nutrients. Pelleting tended to increase scores for ulceration (p<0.06), and enzyme supplementation decreased stomach keratinization scores for pigs fed the standard pellets (p<0.01). However, as in Exp. 1, the mean scores for all treatment groups were quiet low (i.e., ranging from normal to mild). In conclusion, pelleting improved efficiency of growth, but additional benefits from expander conditioning were observed only in Exp. 1. Finally, xylanase tended to improve growth performance and nutrient digestibility, only in pigs fed mash diets but not in pigs fed pellets.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.65-68
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• 2003

This paper presents a design and construction of IIR multiple notch filter by modifying the pole-zero placement with least square estimation to find the appropriate gain and pole positions for the filter within a unit circle in z-plane. The appropriated gain and pole position will render the controllable unit gain of filter magnitude. Algorithm design and system simulation are performed on MATLAB while the actual implementation is done on the TMS320C31 digital signal processing board.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.5C
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• pp.521-526
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• 2009

In this paper, a complex-valued recursive least squares escalator filter algorithm with reduced computational complexity for complex-valued signal processing applications is presented. The local tap weight of RLS-ESC algorithm is updated by incrementing its old value by an amount equal to the local estimation error times the local gain scalar, and for the gain scalar, the local input autocorrelation is calculated at the previous time. By deriving a new gain scalar that can be calculated by using the current local input autocorrelation, reduced computational complexity is accomplished. Compared with the computational complexity of the complex-valued version of RLS-ESC algorithm, the computational complexity of the proposed method can be reduced by 50% without performance degradation. The reduced computational complexity of the proposed algorithm is even less than that of the LMS-ESC. Simulation results for complex channel equalization in 64QAM modulation schemes demonstrate that the proposed algorithm has superior convergence and constellation performance.

• 전기의세계
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• v.29 no.9
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• pp.584-593
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• 1980

Conventional radar antenna systems are susceptible to performance degradation caused by unwanted signals received via the antenna sidelobes and/or mainlobes. Adaptive array systems offer possible solution to this interference problem by automatically steering nulls to unwanted signals providing significant system performance improvement. Another important andvantage of the adaptive array is its self-optimization capability which uses the collective incoming noise data for the nulling purposes. This paper provides a tutorial introduction to adaptive arrays as well as some new development of recent research in this area. Optimum link between the antenna theory and signal processing has been sought by illustrating the gain patterns and output signal-to-noise ratio. Signal acqusition methods are shown including a new attempt of the use of spread-spectrum techniques in conjuction with array systems.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.151-152
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• 2009

Grid 컴퓨팅 환경에서 Risk-resilient 한 Job 수행을 보장하기 위해 그 동안 Job migration 기법이 연구되어 왔으나, 자원 재선정 및 Job 이동/재할당에 따른 기준의 단순성으로 인해, Migration에 따른 Job 수행의 이득과 손실이 정확하게 판별되지 못한 경향이 있었다. 따라서 본고에서는 Job failure Rate을 바탕으로 특정 Job의 확률적 수행 지연 시간을 추정하고, 이를 이용하여 Migration gain을 평가하는 모델을 제안한다.

• 한국해양학회지
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• v.30 no.2
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• pp.116-124
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• 1995

Marine, shallow seismic data have been acquired and processed by newly developed multi-channel(6 channel), PC-based digital recording and processing system. The digital processing system includes pre-processing, swell-compensation filter, frequency filter, gain correction, deconvolution, stacking, migration, and plotting. The quality of processed sections is greatly enhanced in terms of signal-to-noise ratio and vertical/horizontal resolution. The multi-channel, digital recording, acquisition and processing system proved to be and economical, efficient and easy-to-use marine shallow seismic tool.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.349-351
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• 2013

This research paper presents a low-power programmable gain amplifier (PGA) to facilitate signal processing of the detection of defects in steel plates. This circuit is able to adjust a gain in the range of 6 to 60dB in 7 steps using different signal types for various defects from hall sensors. The gain of PGA is designed by operating on-resistors of switches and passive components. The proposed PGA ($0.18{\mu}m$ CMOS process with 1.8 supply voltage) showed excellent gain error of less than -0.2dB, and low power consumption of 0.47mW.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.8
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• pp.38-48
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• 2014

In this paper, a design of Signal Processing Analog Front-End IC for Automotive Piezo-Resistive Type Pressure Sensor is presented. In modern society, as the car turns to go from mechanical to electronic technology, the accuracy and reliability of electronic parts required importantly. In order to improve these points, Programmable Gain Amplifier (PGA) amplifies the received signal in accordance with gain for increasing the accuracy after PRT Sensor is operated to change physical pressure signals to electrical signals. The signal amplified from PGA is processed by Digital blocks like ADC, CMC and DAC. After going through this process, it is possible to determine the electrical signal to physical pressure signal. As processing analog signal to digital signal, reliability and accuracy in Analog Front-End IC is increased. The current consumption of IC is 5.32mA. The die area of the fabricated IC is $1.94mm{\times}1.94mm$.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.4
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• pp.1146-1165
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• 2022

A huge amount of data in the form of videos and images is being produced owning to advancements in sensor technology. Use of low performance commodity hardware coupled with resource heavy image processing and analyzing approaches to infer and extract actionable insights from this data poses a bottleneck for timely decision making. Current approach of GPU assisted and cloud-based architecture video analysis techniques give significant performance gain, but its usage is constrained by financial considerations and extremely complex architecture level details. In this paper we propose a data pipeline system that uses open-source tools such as Apache Spark, Kafka and OpenCV running over commodity hardware for video stream processing and image processing in a distributed environment. Experimental results show that our proposed approach eliminates the need of GPU based hardware and cloud computing infrastructure to achieve efficient video steam processing for face detection with increased throughput, scalability and better performance.