• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.314-316
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• 2022

코로나 19로 인해 일회용품 사용량이 증가함에 따라 쓰레기에 대한 환경문제가 발생하고 있다. 이러한 문제점을 개선하기 위해 집에서도 간편하게 쓰레기 배출 정보를 확인할 수 있는 연구를 진행했다. 스마트 관리 기계 사용을 통해 쓰레기가 환경에 미치는 악영향이 최소화되기를 기대한다.

• Journal of Korean Society of Forest Science
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• v.40 no.1
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• pp.75-81
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• 1978

Elder-berries are economical plants and grown commercially in the United States. Most of the crop is sold to processors and made into natural colour, jellies, jam, port wine or elder berry wine, elder berry juice or used to manufacture of pie mixes. Processors are showing increasing interest in cultivation elder berries. In the present study was wish to find the effect of various factors and practical methods on the processing for the true fruit colour made from fresh elder berries juice as the clearing by the treated pectinase, added sugar, vaccum concentration, extraction of anthocyanosid powder and its property with used prospects. In this study obtained results can be summarized as follows. 1. Pectinase is useful and effected to make clear juice from fresh elder berry juice treated on the $34{\sim}45^{\circ}C$. 2. P.V.C. drum is most useful stored without unfading for clearing elderberry juice and its exposed redish dark purple colour. 3. Clearing elderberry juice stored in the stainless steel drum, changed colour from redish dark purple to dark violets during the stored at the room temperature. 4. Added sugar (Brix $48{\sim}53^{\circ}C$) to the fresh elderberry juice is useful and suitable prospects for to make home juice and wine. 5. The elderberry juice of vaccum concentration is change colour from dark purple to black brown colour during the stored at the room temperature. 6. Its possible to make anthocyanosid powder extracted made from fresh elderberry juice 7. Property of anthocyanosid is an follows. 1) The spectrum of elderberries juice is $523{\sim}530m{\mu}$ 2) The colouring stability is less than $pH_4$ 3) The colouring stability by the heating is less than $pH_4$, and then the more than $pH_4$ is changed colour from redish dark purple to dark brown. 4) By the light colouring stability is less than $pH_4$ 5) The colouring most stability in the pH is $pH_3$ 8. In the future, natural colour made from elderberry juice on the useful prospects is suitable used to make natural fruit juice, ice cream, candy, commercial and home wine, gum, and manufacture of jelly jam, pie maxes, ect.

• Journal of KIISE
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• v.41 no.10
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• pp.762-773
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• 2014

As the web of data is increasingly producing large RDFS datasets, it becomes essential in building scalable reasoning engines over large triples. There have been many researches used expensive distributed framework, such as Hadoop, to reason over large RDFS triples. However, in many cases we are required to handle millions of triples. In such cases, it is not necessary to deploy expensive distributed systems because logic program based reasoners in a single machine can produce similar reasoning performances with that of distributed reasoner using Hadoop. In this paper, we propose a scalable RDFS reasoner using logical programming methods in a single machine and compare our empirical results with that of distributed systems. We show that our logic programming based reasoner using a single machine performs as similar as expensive distributed reasoner does up to 200 million RDFS triples. In addition, we designed a meta data structure by decomposing the ontology triples into separate sectors. Instead of loading all the triples into a single model, we selected an appropriate subset of the triples for each ontology reasoning rule. Unification makes it easy to handle conjunctive queries for RDFS schema reasoning, therefore, we have designed and implemented RDFS axioms using logic programming unifications and efficient conjunctive query handling mechanisms. The throughputs of our approach reached to 166K Triples/sec over LUBM1500 with 200 million triples. It is comparable to that of WebPIE, distributed reasoner using Hadoop and Map Reduce, which performs 185K Triples/sec. We show that it is unnecessary to use the distributed system up to 200 million triples and the performance of logic programming based reasoner in a single machine becomes comparable with that of expensive distributed reasoner which employs Hadoop framework.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.18 no.6 s.121
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• pp.602-611
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• 2007

In this paper, the forward link of UHF RFID system is modeled in accordance with the EPCglobal class 1 generation 2(EPCglobal C1G2) UHF Radio-Frequency Identity protocol specification at $860{\sim}960MHz$. Based on the constructed model, characteristics on the forward link signal for the EPCglobal C1G2 RFID reader are simulated with the help of a MATLAB softwarein order to extract the design parameters of a transmit digital filter which meets the Korean RFID regulations. Herein, the forward link model is consisted of PIE source coding, transmit digital filter, modulation, local oscillator, and antenna. From the simulation results, the ranges of three design parameters(roll-off factor, cutoff frequency, the number of tabs) for transmit digital filter are obtained with different modulation techniques and the Tari(type a reference interval) values. Finally, DSB/SSB-ASK modulation technique can not satisfy the EPCglobal C1G2 specification when Tari equals to $6.25{\mu}sec$ in a multiple-reader environment. Consequently this paper can provide a guideline for design parameters of a RFID reader as well as the basic scheme of analyzing frequency interference problems in RFID environments, including multiple-reader and dense-reader environments.

• IEIE Transactions on Smart Processing and Computing
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• v.2 no.6
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• pp.323-331
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• 2013

An extreme learning machine (ELM) is an efficient learning algorithm that is based on the generalized single, hidden-layer feed-forward networks (SLFNs), which perform well in classification applications. Many studies have demonstrated its superiority over the existing classical algorithms: support vector machine (SVM) and BP neural network. This paper presents a novel face recognition approach based on a multi-class project extreme learning machine (MPELM) classifier and 2D Gabor transform. First, all face image features were extracted using 2D Gabor filters, and the MPELM classifier was used to determine the final face classification. Two well-known face databases (CMU-PIE and ORL) were used to evaluate the performance. The experimental results showed that the MPELM-based method outperformed the ELM-based method as well as other methods.

• Nuclear Engineering and Technology
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• v.52 no.9
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• pp.1907-1916
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• 2020

In this work, the depletion capability implemented in Monte Carlo code MCS is investigated to predict the isotopic compositions of spent nuclear fuel (SNF). By comparison of MCS calculation results to post irradiation examination (PIE) data obtained from one pressurized water reactor (PWR), the validation of this capability is conducted. The depletion analysis is performed with the ENDF/B-VII.1 library and a fuel assembly model. The transmutation equation is solved by the Chebyshev Rational Approximation Method (CRAM) with a depletion chain of 3820 isotopes. 18 actinides and 19 fission products are analyzed in 14 SNF samples. The effect of statistical uncertainties on the calculated number densities is discussed. On average, most of the actinides and fission products analyzed are predicted within ±6% of the experiment. MCS depletion results are also compared to other depletion codes based on publicly reported information in literature. The code-to-code analysis shows comparable accuracy. Overall, it is demonstrated that the depletion capability in MCS can be reliably applied in the prediction of SNF isotopic inventory.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.6 no.1
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• pp.43-49
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• 2010

The piping failure probability of the reactor coolant system in Kori unit 1 was evaluated considering stress corrosion cracking. The P-PIE program (Probabilistic Piping Integrity Evaluation Program) developed in this study was used in the analysis. The effect of some variables such as oxygen concentration during start up and steady state operation, and operating temperature, which are related with stress corrosion cracking, on the piping failure probabilities was investigated. The effects of leak detection capability, the size of big leak, piping loops, and reactor types on the piping failure probability were also investigated. The results show that (1) LOCA (loss of coolant accident) probability of Kori unit 1 is extremely low, (2) leak probability is sensitive to oxygen concentration during steady state operation and operating temperature, while not sensitive to the oxygen concentration during start up, and (3) the piping thickness and operating temperature play important roles in the leak probabilities of the cold leg in 4 reactor types having same inner diameter.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.06a
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• pp.408-409
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• 2009

The memory characteristics of charge trap memory capacitor with high-k materials were investigated. I-V characteristics of the fabricated device with band gap engineered tunneling gate stacks consisted of $SiO_2$, $ZrO_2$, $Al_2O_3$ dielectrics were evaluated and compared with the one consisted of $SiO_2$ tunneling dielectric. The memory capacitor including engineered tunneling dielectrics of ($Al_2O_3/ZrO_2/SiO_2$) shows the fastest PIE speed and long data retention time.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.06a
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• pp.129-130
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• 2009

The P/E characteristics of $HfO_2$ CTF memory capacitor with $SiO_2/HfO_2/Al_2O_3$(OHA) engineered tunnel barrier were investigated. After a growth of thermal oxide with a thickness of 2 nm, 1 nm $HfO_2$ and 3 $Al_2O_3$ layers were deposited by atomic layer deposition (ALD) system. The band offset was calculated by analysis of conduction mechanisms through Fowler-Nordheim (FN) plot and Direct Tunneling (DT) plot. Moreover the PIE characteristics of $HfO_2$ CTF memory capacitor with OHA tunnel barrier was presented.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.06a
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• pp.133-133
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• 2009

It is desirable to choose a high-k material having a large band offset with the tunneling oxide and a deep trapping level for use as the charge trapping layer to achieve high PIE (Programming/erasing) speeds and good reliability, respectively. In this paper, charge trapping and tunneling characteristics of high-k hafnium oxide ($HfO_2$) layer with various thicknesses were investigated for applications of tunnel barrier engineered nonvolatile memory. A critical thickness of $HfO_2$ layer for suppressing the charge trapping and enhancing the tunneling sensitivity of tunnel barrier were developed. Also, the charge trap centroid and charge trap density were extracted by constant current stress (CCS) method. As a result, the optimization of $HfO_2$ thickness considerably improved the performances of non-volatile memory(NVM).