• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2000년도 추계학술발표논문집 (하)
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• pp.1353-1356
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• 2000

최근 B2B 시스템 통합 및 전략적 제휴가 시장을 변화시키고 있고 관련 기업들의 효율적인 연계요구가 증가됨에 따라 기업간 시스템들의 연동이 중요한 문제로 부각되고 있다. 워크플로우 표준화 단체인 WfMC 에서도 이러한 문제 해결의 일환으로 인터넷을 통한 워크플로우 관리 시스템간 연동을 위한 표준인 Wf-XML Interoperability standard 를 발표하였다. 본 논문은 Wf-XML 표준 및 관련 연구들을 조사하고 WfMC 표준에는 정의되어 있지 않으나 시스템간의 신뢰성있는 연동을 위해 고려할 사항 중에서 동기적 및 비동기적 상호연동을 위한 요구사항들을 분석한다. TCP/IP 를 기반으로 한 HTTP 프로토콜을 전송 프로토콜로 채택하는 경우 여러 오퍼레이션들을 일괄처리하기 위해서는 비동기적인 상호연동(asynchronous interoperation)을 위한 별도의 메커니즘이 필요하다. 본 연구에서는 Wf-XML 문서를 HTTP 프로토콜을 사용하여 전송하는 경우 일괄처리요청(batch request) 및 그 밖의 동기적 또는 비동기적 요청들을 처리하기 위한 상호연동 모델을 분석하고 분산 워크플로우 시스템의 일종인 ICU/COWS에서의 적용방안에 관해서 논의한다.

• 자원리싸이클링
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• 제14권5호
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• pp.32-39
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• 2005

폐 적층형세라믹콘덴서(Multi-Layer Ceramic Capacitor, MLCC)에 함유된 니켈의 침출거동에 대한 연구를 수행하였다. 침출제인산의 종류와 산농도, 침출온도, 입자크기, 침출시간이 니켈의 침출거동에 미치는 영향을 조사하였다. 실험결과, 광액농도 5g/L, 질산농도 1N 침출온도 $90^{\circ}C$, 시료입도 $-300/+180{\mu}m$, 침출시간 30분에서 니켈의 침출율은 97%이었다. 니켈의 침출반응속도는 cylinder 형상의 Jander 식에 잘 따르는 것으로 분석되었다. 니켈의 침출반응은 잔류 $BaTiO_3$ 공극 확산율속반응이며, 활성화 에너지는 37.6kJ/mol(9.0 kcal/mol)이였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.844-847
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• 1997

In this paper, scheduling problem is dealt for the minimization of due date penalty for the customer order. Multiproduct batch processes have been dealt with for their suitability for high value added low volume products. Their scheduling problems take minimization of process operation for objective function, which is not enough to meet the customer satisfaction and the process efficiency simultaneously because of increasing requirement of fast adaptation for rapid changing market condition. So new target function has been suggested by other researches to meet two goals. Penalty function minimization is one of them. To present more precisely production scheduling, we develop new scheduling model with penalty function of earliness and tardiness We can find many real cases that penalty parameters are divergent by the difference between the completion time of operation and due date. That is to say, the penalty parameter values for the product change by the customer demand condition. If the order charges different value for due date, we can solve it with the due date period. The period means the time scope where penalty parameter value is 0. If we make use of the due date period, the optimal sequence of our model is not always same with that of fixed due date point. And if every product have due date period, due date of them are overlapped which needs optimization for the maximum profit and minimum penalty. Due date period extension can be enlarged to makespan minimization if every product has the same abundant due date period and same penalty parameter. We solve this new scheduling model by simulated annealing method. We also develop the program, which can calculate the optimal sequence and display the Gantt chart showing the unit progress and time allocation only with processing data.

• 폴리머
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• 제30권1호
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• pp.45-49
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• 2006

본 연구에서는 합성된 해수 중의 붕소 분리에 관한 연구를 수행하였다. 실험에 사용된 이온교환수지는 글루카아민(glucamine) 작용기가 함유되어 있는 Amberlite IRA 743이며, 해수의 pH, 붕소의 초기농도, 반응온도 등을 변화시켜가면서 회분식 반응기에서 수행하였다. 그 결과, Amberlite IRA 743수지의 붕소흡착에 적합한 pH는 8.5로 나타났으며, 313K에서 최고의 흡착효율을 나타냄을 알 수 있었다. 흡착속도는 온도의 증가에 따라 빠르게 나타났으며, 반면에 붕소 초기의 농도가 증가하면 감소하였다. 또한, 실험 결과들을 2차 균일반응의 모델에 적용하여 다음의 속도 식을 얻을 수 있었다. $$\frac{X}{1-X}=780[C_0]^{-1.65}t^{1.48}\;exp\;({-\frac{17883}{RT}}\)\;;\;pH8.5$$

• 한국축산식품학회지
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• 제36권1호
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• pp.122-130
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• 2016

The objective of this study was to investigate the effects of mixed starter cultures isolated from kimchi on physicochemical properties, functionality and flavors of fermented ham. Physicochemical properties, microbial counts, shear force, cholesterol contents and volatile compounds of fermented ham were investigated during processing (curing and ripening time). Curing process for 7 d increased saltiness, however, decreased hunter color values (L, a, and b values). Ripening process for 21 d increased most parameters, such as saltiness, color values, weight loss, shear force and cholesterol content due to the drying process. The mixed starter culture had higher lactic acid bacteria than the commercial one. While eight volatile compounds were identified from fermented hams during curing process, total fiftyeight volatile compounds were identified from fermented hams during ripening process. The main volatile compounds were alcohols, esters and furans. However, no differences in volatile compounds were observed between two batches. Fermented hams (batch B) manufactured with probiotic starter culture (LPP) had higher sensory score in texture, color and overall acceptability than counterparts (batch A), while the opposite trend was observed in flavor. Therefore, mixed probiotic starter culture isolated from kimchi might be used as a starter culture to be able to replace with commercial starter culture (LK-30 plus) for the manufacture of fermented ham.

• 한국미생물·생명공학회지
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• 제29권2호
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• pp.67-71
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• 2001

자연계로부터 anthraquinone계 염료인 Remazol brilliant blue R를 분해.탈색하는 호알칼리성 균주를 분리하여 Bacillus sp. ARB1으로 명명하고 성장특성을 조사하였다. 최적 배양온도와 pH는 $35^{\circ}C$, pH 9.0로 나타났다. 배양액의 초기 pH가 10과 10.5일 경우 배양시간의 경과에 따라 pH 값이 점점 감소하여 40시간 후 9.3, 9.4로 각각 감소하였다. 진탕배양의 경우가 정치배양의 경우보다 Bacillus sp. ARB1의 탈색율이 현저히 높았다. 최적 배양조건에서 Bacillus sp. ARB1을 회분배양한 결과 배양 32시간 후 93%의 탈색율을 나타내었다. 실제 염색가공폐수를 사용한 회분배양에서 40시간 후에 탈색율은 78%로 나타났다.

• 한국식품과학회지
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• 제46권4호
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• pp.418-424
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• 2014

배 농축액의 유가식 배양을 통해 영양원 없이 산도 12% 이상의 고산도 식초를 제조하면서 발효단계(Stage 1-4) 및 초기 알코올농도(6-9%)에 따른 품질특성 변화를 확인하였다. 환원당, 유리아미노산, 총 페놀 함량, 총 플라보노이드 함량 및 라디칼 소거능은 1차 초산발효한 일반산도 식초에 비해 2차 초산발효한 고산도 식초에서 증가하였고, 이는 유가식으로 첨가된 feeding 알코올의 영향으로 사료되었다. SPME/GC-MS 분석을 통한 20여종의 휘발성분은 식초의 산도에 따라 함량의 차이를 나타내었고, 초기 알코올농도의 증가에 따라 자극적인 향의 acid류 함량이 다소 증가하였다. 이상의 결과, 초기알코올 농도 6-7% 조건에서 유가식 배양으로 제조된 고산도 배식초는 일반산도 식초에 비해 우수한 품질을 나타내었고, 이에 관능특성 및 대규모 생산에 대한 연구가 필요한 것으로 사료되었다.

• 한국기계가공학회지
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• 제20권10호
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• pp.63-71
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• 2021

Using fossil fuels in existing industrial systems causes a variety of social problems. Recently, many studies have been conducted on bio-refineries, which aim to actively utilize biomass to reduce the use of fossil fuels and solve various social problems. Among them, research using microalgae as a third-generation biomass has attracted considerable attention. Microalgae use inorganic matter to produce organic matter, and cell destruction is necessary to extract useful organic materials from microalgae. The extracted organic materials are currently used in various industrial fields. Numerous cell-destruction methods exist. We have investigated cell disruption by sonication, especially its efficiency. Ultrasound is a sound wave with frequencies above 20 kHz, and destroys cells by sending high energy through a cavitation that occurs, according to the characteristics of the sound wave. The Dunaliella salina microalgae used in this study was cultured in a flat-type photobioreactor. Experiments were performed using a batch low-frequency processing device. Logistic model was applied to analyze the results of cell-destruction experiments using ultrasound. The proper conditions for the most efficient cell destruction were OD 1.4(microalgae concentration)), 54watt(output power) and 200mL(microalgae capacity).

• 한국물환경학회지
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• 제37권1호
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• pp.47-54
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• 2021

Aerobic granular sludge (AGS) can be classified as a type of self-immobilized microbial aggregates measuring more than 0.2 mm. It offers the option to simultaneously remove COD, N, and P that occur in different zones inside a granule. Also, AGS is characterized by high precipitability, treatability with high organic loading, and high tolerance to low temperature. In this study, a sequencing batch reactor inoculated with AGS (AGS-SBR) is a new advanced wastewater treatment process that was proven to grow AGS with integrated nutrient removal and low C/N ratio. A pilot plant, AGS-SBR with a capacity of 225 ㎥/d was installed at an S sewage treatment plant in Gyeonggi-do. The results of the operation showed that the water quality of the effluent indicated that the value of BOD5 was 1.5 mg/L, CODMn was 11.4 mg/L, SS was 6.2 mg/L, T-N was 13.2 mg/L, and T-P was 0.197 mg/L, and all of these values reliably satisfied an effluent standard (I Area). In winter, the T-N treatment efficiency at a lower temperature of less than 11℃ also showed reliability to meet the effluent standard of the I Area (20 mg/L or less). Analysis of microbial community in AGS showed a higher preponderance of beneficial microorganisms involved in denitrification and phosphorus accumulation compared with activated sludge. The power consumption and sludge disposal cost were reduced by 34.7% and 54.9%, respectively, compared to the domestic SBR type sewage treatment plant with a processing capacity of 1,000 ㎥/d or less.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.175-182
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• 2022

In our daily life, we come across different types of information, for example in the format of multimedia and text. We all need different types of information for our common routines as watching/reading the news, listening to the radio, and watching different types of videos. However, sometimes we could run into problems when a certain type of information is required. For example, someone is listening to the radio and wants to listen to jazz, and unfortunately, all the radio channels play pop music mixed with advertisements. The listener gets stuck with pop music and gives up searching for jazz. So, the above example can be solved with an automatic audio classification system. Deep Learning (DL) models could make human life easy by using audio classifications, but it is expensive and difficult to deploy such models at edge devices like nano BLE sense raspberry pi, because these models require huge computational power like graphics processing unit (G.P.U), to solve the problem, we proposed DL model. In our proposed work, we had gone for a low complexity model for Audio Event Detection (AED), we extracted Mel-spectrograms of dimension 128×431×1 from audio signals and applied normalization. A total of 3 data augmentation methods were applied as follows: frequency masking, time masking, and mixup. In addition, we designed Convolutional Neural Network (CNN) with spatial dropout, batch normalization, and separable 2D inspired by VGGnet [1]. In addition, we reduced the model size by using model quantization of float16 to the trained model. Experiments were conducted on the updated dataset provided by the Detection and Classification of Acoustic Events and Scenes (DCASE) 2020 challenge. We confirm that our model achieved a val_loss of 0.33 and an accuracy of 90.34% within the 132.50KB model size.