• Title/Summary/Keyword: Low-rank

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A Study on the Relationship of [i] Sound Wave to Sasang Constitution - by Sasang Constitution Analysed with PSSC-2004 ([i]음성파형과 사상체질과의 상관성연구 - 사상체질음성분석기(四象體質音聲分析機)(PSSC-2004)를 이용하여)

  • Song, Hak-Soo;Jung, Woon-Ki;Choi, Min-Ki;Kim, Jong-Chae;Kim, Dal-Rae;Yoo, Jun-Sang
    • Journal of Sasang Constitutional Medicine
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    • v.18 no.2
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    • pp.68-82
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    • 2006
  • 1. Objectives and Methods The purpose of this study was to objectify the diagnosis of Sasang constitution. It was analyzed the adult men and women's [i] sound into 23 factors with PSSC-2004. The study was conducted by subjects inputting 2.5-3 sec of [i] of 586 adult men and women's voices to PSSC-2004. The statistical analysis are applied to three groups : total group, male group, female group. The group of total 586 was composed with 155 Soyangin, 230 Taeumin and 201 Soeumin. The male group was composed with 61 Soyangin, 127 Taeumin and 87 Soeumin. The female group was composed with 94 Soyangin, 103 Taeumin and 114 Soeumin. 2. Results (1) In total group, the Soyangin's code3 was significantly low compared with the others(P=0.011). In total group, the Taeumin's code2 and the Soyangin's code1 were significantly high compared with the others(p=0.007)(P=0.030). (2) In total group, the Soyangin's peak, 50 up in peak and under 3 in peak were significantly low compared with the others(P=0.003) (P=0.005)(P=0.023). (3) In total group, the Taeumin's rank7, rank8, rank9 and rank10 were significantly high compared with the others (P=0.013)(P=0.015) (P=0.016)(P=0.003). (4) In male group, the Soeumin's code3 was significantly high compared with the others(P=0.002). (5) In male group, the Soeumin's peak sum was significantly high compared with the others(P=0.009). It was significant for distinction between Soeumin and Soyangin at the result of post mortem. In male group, the Soeumin's 50 up in peak, 50 down in peak were significantly high compared with the others(P=0.049)(p=0.037). In male group, the Soeumin's under 3 in peak was significantly high compared with the others(P=0.016). It was significant for distinction between Soeumin and Soyangin at the result of post mortem. (6) In male group, the Soeumin's rank 2, rank 3 and rank 4 were significantly low compared with the others(P=0.011) (0.011)(0.024). (7) In female group, the Taeumin's code2 was significantly high compared with the others(P=0.023). In female group, the Soyangin's code1 was significantly low compared with the others (P=0.046). In female group, Soyangin's code-1 was significantly high compared with the others(P=0.024). It was significant for distinction between Taeumin and Soyangin at the result of post mortem. (8) In female group, the Taeumin's peak sum was significantly high compared with the others(P=0.024). It was significant for distinction between Taeumin and Soyangin at the result of post mortem. In female group, the Taeumin's 50 up in peak was significantly high compared with the others(P=0.012). (9) In female group, the Taeumin's rank 7, rank 8, rank 9 and rank 10 were significantly high compared with the others (P=0.009) (P=0.013)(P=0.016)(P=0.023). 3. Conclusion From above result, there is the possibility of efficiency standardguide for constitutional diagnosis by analyzation of the voices.

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Economic Analysis of Upgrading Low Rank Coal Process (저등급석탄 고품위화 공정의 경제성 분석)

  • Chun, Dong-Hyuk;Kim, Sang-Do;Rhim, Young Joon;Lee, Si Hyun
    • Korean Chemical Engineering Research
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    • v.49 no.5
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    • pp.639-643
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    • 2011
  • Fry-drying of coal slurry is one of the upgrading low rank coal processes. It consists of slurry mixing, slurry dewatering, solvent recovery and briquetting. Cost estimation and economic feasibility are examined for the upgrading low rank coal process based on capacity of 1 million ton/yr. In case that investment costs are $100,000,000, discount rate is 12%, and service life is 20 years, the results of economic analysis are enough to satisfy the evaluation criteria of investment such as IRR, B/C ratio, NPV and discounted payback period. According to sensitivity analysis, investment value are very sensitive to raw material cost and product price. Since the bituminous coal price is currently soaring, it is expected that the investment value will increase more and more.

Supercritical Water Gasification of Low Rank Coal with High Moisture Content (고함수 저등급 석탄의 초임계수 가스화 특성)

  • Yoon, Sang Jun;Lee, Jae Goo;Ra, Ho Won;Seo, Myung Won
    • Transactions of the Korean hydrogen and new energy society
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    • v.24 no.4
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    • pp.340-346
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    • 2013
  • Study on clean and efficient utilization technology for low rank coal with high moisture content is actively ongoing due to limited reserves of petroleum and of high grade coal and serious climate change caused by fossil fuel usage. In the present study, supercritical water gasification of low rank coal was performed. With increasing reaction temperature, content of combustible gases such as $H_2$ and $CH_4$ in the syngas increased while the $CO_2$ content decreased. As the reaction pressure increased from 210 to 300 bar, the $CO_2$ content in the syngas increased while the hydrocarbon gas content decreased. The $H_2$ and $CH_4$ content in the syngas increased slightly with pressure. With the addition of Pd, Pt, and Ru catalysts, it was possible to improve the production of $H_2$. Moreover, the increase of active metal content in the catalyst increased the $H_2$ productivity. The Ru catalyst shows the best performance for increasing the $H_2$ content in the syngas, while decreasing the $CO_2$ content.

A Study on the Consumer Recognithion on the food label of Food label of Food Package in Taegu area (식품포장제의 식품쇼시사항에 대한 소바지로 인식에 관한 연구 -대구지역을 줌심으 로-)

  • 박영수
    • Journal of the East Asian Society of Dietary Life
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    • v.6 no.3
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    • pp.335-344
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    • 1996
  • This study was to investigate consumer recognition on food label of food package. The results of this study were as follows: 1. when shopping for food, the items considered the most were taste of family, food safety, nutrition and price, respectively. 2. 95.5% of respondents confirmed of the food label of food package when shopping for food. The items confirmed the most on food label were expiration date, manufacture date, manufacturer, food additives and nutrition, respectively. 3. 85.3% of respondents did not satisfy on the food label of food label of food package. 43.6% of respondents demanded food additives more detailed. 28.2% of respondents demanded nutrition information more detailed. 28.2% of respondents demanded food function more detailed. 4. The food which respondents satisfied on food label most were snack '||'&'||' cookies, nuddle, spices, can '||'&'||' bottled food, instant food, processed meat foo, frozen food and imported food, respectively. 5. The group with the most hphrases falling in the top rank was nutrition/calories. The phrases in the nutrition/calories group scored in the top rank were 3 "positive" nutritional characteristics(addition of vitamins, addition of DHA, high dietary fiber) and 5 "nagative" nutritional characteristics(no sugar, low sugar, low calories, low salt and low cholesterol). The group with the most phrases falling in the third rank was ingredient. The phrases in the ingredient scored in the third rank were add of food additives. 6. 55.5% of respondents did not know Recommended Daily Allowance(RDA) information and 61.9% of respondents did not understand the nutrition declaration(content) of food package but 65.7% of resspondents understood the nutrition claim of food package. From these result, respondents were more affected by nutrition claim than by nutrition declaration on food package when shopping for food.ood.

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Graph Construction Based on Fast Low-Rank Representation in Graph-Based Semi-Supervised Learning (그래프 기반 준지도 학습에서 빠른 낮은 계수 표현 기반 그래프 구축)

  • Oh, Byonghwa;Yang, Jihoon
    • Journal of KIISE
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    • v.45 no.1
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    • pp.15-21
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    • 2018
  • Low-Rank Representation (LRR) based methods are widely used in many practical applications, such as face clustering and object detection, because they can guarantee high prediction accuracy when used to constructing graphs in graph - based semi-supervised learning. However, in order to solve the LRR problem, it is necessary to perform singular value decomposition on the square matrix of the number of data points for each iteration of the algorithm; hence the calculation is inefficient. To solve this problem, we propose an improved and faster LRR method based on the recently published Fast LRR (FaLRR) and suggests ways to introduce and optimize additional constraints on the underlying optimization goals in order to address the fact that the FaLRR is fast but actually poor in classification problems. Our experiments confirm that the proposed method finds a better solution than LRR does. We also propose Fast MLRR (FaMLRR), which shows better results when the goal of minimizing is added.

Image Denoising for Metal MRI Exploiting Sparsity and Low Rank Priors

  • Choi, Sangcheon;Park, Jun-Sik;Kim, Hahnsung;Park, Jaeseok
    • Investigative Magnetic Resonance Imaging
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    • v.20 no.4
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    • pp.215-223
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    • 2016
  • Purpose: The management of metal-induced field inhomogeneities is one of the major concerns of distortion-free magnetic resonance images near metallic implants. The recently proposed method called "Slice Encoding for Metal Artifact Correction (SEMAC)" is an effective spin echo pulse sequence of magnetic resonance imaging (MRI) near metallic implants. However, as SEMAC uses the noisy resolved data elements, SEMAC images can have a major problem for improving the signal-to-noise ratio (SNR) without compromising the correction of metal artifacts. To address that issue, this paper presents a novel reconstruction technique for providing an improvement of the SNR in SEMAC images without sacrificing the correction of metal artifacts. Materials and Methods: Low-rank approximation in each coil image is first performed to suppress the noise in the slice direction, because the signal is highly correlated between SEMAC-encoded slices. Secondly, SEMAC images are reconstructed by the best linear unbiased estimator (BLUE), also known as Gauss-Markov or weighted least squares. Noise levels and correlation in the receiver channels are considered for the sake of SNR optimization. To this end, since distorted excitation profiles are sparse, $l_1$ minimization performs well in recovering the sparse distorted excitation profiles and the sparse modeling of our approach offers excellent correction of metal-induced distortions. Results: Three images reconstructed using SEMAC, SEMAC with the conventional two-step noise reduction, and the proposed image denoising for metal MRI exploiting sparsity and low rank approximation algorithm were compared. The proposed algorithm outperformed two methods and produced 119% SNR better than SEMAC and 89% SNR better than SEMAC with the conventional two-step noise reduction. Conclusion: We successfully demonstrated that the proposed, novel algorithm for SEMAC, if compared with conventional de-noising methods, substantially improves SNR and reduces artifacts.

Paper Recommendation Using SPECTER with Low-Rank and Sparse Matrix Factorization

  • Panpan Guo;Gang Zhou;Jicang Lu;Zhufeng Li;Taojie Zhu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.5
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    • pp.1163-1185
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    • 2024
  • With the sharp increase in the volume of literature data, researchers must spend considerable time and energy locating desired papers. A paper recommendation is the means necessary to solve this problem. Unfortunately, the large amount of data combined with sparsity makes personalizing papers challenging. Traditional matrix decomposition models have cold-start issues. Most overlook the importance of information and fail to consider the introduction of noise when using side information, resulting in unsatisfactory recommendations. This study proposes a paper recommendation method (PR-SLSMF) using document-level representation learning with citation-informed transformers (SPECTER) and low-rank and sparse matrix factorization; it uses SPECTER to learn paper content representation. The model calculates the similarity between papers and constructs a weighted heterogeneous information network (HIN), including citation and content similarity information. This method combines the LSMF method with HIN, effectively alleviating data sparsity and cold-start issues and avoiding topic drift. We validated the effectiveness of this method on two real datasets and the necessity of adding side information.

A Study on the Relationship of [a] Sound Wave to Sasang Constitution - by Sasang Constitution Analysed with PSSC-2004 ([a] 음성파형과 사상체질과의 상관성연구 - 사상체질음성분석기(四象體質音聲分析機)(PSSC-2004)를 이용하여)

  • Yoon, Woo-Young;Choi, Min-Ki;Jung, Woon-Ki;Lee, Sang-Jun;Kim, Dal-Rae;Yoo, Jun-Sang
    • Journal of Sasang Constitutional Medicine
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    • v.18 no.2
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    • pp.83-95
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    • 2006
  • 1. Objectives and Methods The purpose of this study was to objectify the diagnosis of Sasang constitution. It analyzed the adult male and female voices into 23factors using PSSC-2004. The study was conducted by subjects inputting 2.5-3 sec of [a] in 586 men and women's voices to PSSC-2004. The statistical analyses are applied to three groups: total group, male group, female group. The group with a total of 586 was composed of 155 Soyangin, 230 Taeumin and 201 Soeumin. The male group was composed with 61 Soyangin, 127 Taeumin and 87 Soeumin. The female group was composed with 94 Soyangin, 103 Taeumin and 114 Soeumin. Taeyangin were excluded for a more accurate statistical analysis. 2. Results (I) In total group, Taeumin's peak sum was significantly high compared with the others(P=0.021). It was significant for distinction between Taeumin and Soyangin at the result of post mortem. (2) In total group, the Soyangin's rank6, rank7 and rank8 were significantly high compared with the others (P=0.050)(0.043)(0.034). (3) In total group, the Soyangin's rank9 was significantly high compared with the others(P=0.025). It was significant for distinction between Taeumin and Soyangin at the result of post mortem. (4) In male group, the Soyangin's code3 was significantly high compared with the others(P=0.050). (5) In male group, the Soyangin's code1 was significantly low compared with the others(P=0.004). It was significant for distinction between Taeumin and Soyangin at the result of post mortem. (6) In male group, the Soyangin's rank1, rank2, rank3 and rank4 were significantly high compared with the others(P=0.017)(0.008) (0.005)(0.002). They were significant for distinction between Taeumin and Soyangin at the result of post mortem. (7) In female group, the Taeumin's code1 was significantly low compared with the others(P=0.016). It was significant for distinction between Taeumin and Soeumin at the result of post mortem. 3. Conclusion From above result, there is the possibility of efficiency standard gide for constitutional diagnosis by analyzation of the voices.

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The Study of CO2 Gasification of Low Rank Coal Impregnated by K2CO3, Mn(NO3)2, and Ce(NO3)3 (저급석탄에 K2CO3와 Mn(NO3)2 및 Ce(NO3)3이 CO2-석탄 가스화 반응에 미치는 영향)

  • Park, SangTae;Choi, YongTaek;Shon, JungMin
    • Applied Chemistry for Engineering
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    • v.22 no.3
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    • pp.312-318
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    • 2011
  • We have investigated the kinetics and catalytic activity of $CO_2$-lignite gasification with various metal precursors as catalysts. $K_2CO_3$, $Mn(NO_3)_2$, and $Ce(NO_3)_3$ were used and impregnated on a coal using an evaporator. The gasification experiments were carried out with the low rank coal loaded with 5 wt% catalyst at the temperature range from $700{\sim}900^{\circ}C$ and atmospheric pressure with the $N_2-CO_2$ reactant gas mixture. The catalytic effect on the gasification rate of the low rank coal with $CO_2$ was determined by the thermogravimetric analyzer. It was observed that the low rank coal reached the complete carbon conversion regardless of the kinds of catalysts at $900^{\circ}C$ from the results of TGA. The catalytic activity was ranked as 5 wt% $K_2CO_3$ > 5 wt% $Mn(NO_3)_2$ > 5 wt% $Ce(NO_3)_3$ > Non-catalyst at $900^{\circ}C$. The gasification rate increased with increasing the temperature. The activation energy of the catalytic gasification with 5 wt% $K_2CO_3$ was 119.0 kJ/mol, which was the lowest among all catalysts.

Stabilization Characteristics of Upgraded Coal Using Palm Oil Residues (팜 잔사유를 이용한 고품위화 석탄의 안정화 특성분석)

  • Park, In Su;Chun, Dong Hyuk;Jo, Wan Taek;You, Ji Ho;Lee, Si Hyun;Rhee, Young Woo
    • Clean Technology
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    • v.19 no.4
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    • pp.469-475
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    • 2013
  • In this research, the stabilization characteristics of upgraded coal using palm oil residues were investigated. The Eco coal, which is the Indonesian low-rank coal, was used as a raw material. The low-rank coal was mixed with palm fatty acid distillate (PFAD), and then dried in a nitrogen atmosphere at $107^{\circ}C$. The trend of spontaneous combustion of upgraded coal was studied by measuring of crossing-point temperature (CPT), low temperature oxidation and moisture readsorption. The results of the CPT measuring and low temperature oxidation showed that the propensity of spontaneous combustion of the upgraded coal was improved compared to the dried coal. The moisture readsorption characteristics of the upgraded coal was also improved. The upgraded coal was stabilized through the surface coating with PFAD, and stability of upgraded coal was proportional to the content of PFAD.