• Journal of the Microelectronics and Packaging Society
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• v.7 no.2
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• pp.47-53
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• 2000

The fluxless wetting properties of TSM-coated glass substrate were evaluated by the wetting balance method. We could estimate the wettability of the TSM with new parameters obtained from the wetting balance test for one side-coated specimen. It was more effective in wetting to use Cu as a wetting layer and Au as a protection layer than to use Au itself as a wetting layer. The SnSb solder showed better wettability than SnAg, SnBi, and SnIn solders. The contact angle of the one side-coated glass substrate to the Pb-free solders could be calculated from the farce balance equation by measuring the static force and the tilt angle.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.8
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• pp.104-113
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• 2014

The existing rough mode decision (RMD) algorithm, used in HEVC standard loses the coding efficiency and wastes encoding time when encoding using transform skip mode (TSM) because the RMD algorithm in HEVC uses a selection method that is designed for DCT, not for TSM. This paper proposes a new RMD algorithm for TSM in HEVC. Our proposed RMD algorithm enhances the coding efficiency by employing a new cost function to increase the probability of selecting the best intra prediction mode for TSM. In addition, it reduces the encoding time by skipping the encoding process of least feasible TSM based on a newly proposed threshold value. The experiment results show that the proposed method achieves coding gains of -0.3% for screen contents with a 10% reduction in encoding time compared to those of the HEVC standard.

• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.488-495
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• 1998

대도시지역은 인구와 경제활동의 밀집도가 매우 높은 지역이나 계속되는 교통혼잡의 가중에의한 신속한 물자이동의 제약과 화물작업을 위한 공간의 부족 등으로 인하여 원활한 수송활동과 물류활동을 제한하는 장애요인들이 화물의 이동에 비하여 많은 실정이다. 도시가 존속하고 생산활동, 소비활동을 하기 위해서는 원자재, 에너지, 제품 등이 도시내·외를 통해 생산부문간과 개인·집단간에 원활한 수송이 이루어져야 한다. 하지만, 서울과 같은 대도시는 우리 나라 전체 경제에 미치는 영향이 매우 큼에도 불구하고 급속하게 증가하는 승용차 위주로 교통소통, 교통체계개선(TSM), 도로망 구축 등의 정책이 시행되어 왔다. 대규모 물류이동이 필수적인 서울의 남대문시장, 동대문시장, 용산전자상가 등 오래전부터 형성되어 온 도심상가지역은 굳이 언급하지 않더라도 서울 근교 신도시에 점차 확산되고 있는 대형 할인매장 등의 유통업무지구, 대형 사무용 건물 등에 원활하고 적시의 수송지원을 위해서는 체계적이고 합리적인 물류체계와 화물시스템 못지 않게 그에 따른 도로의 기하하적 구조나 화물차량을 고려한 신호체계 등이 필요하다. 따라서, 본 연구에서는 일반적인 도시 TSM기법 중에서도 화물차량 위주의 TSM기법에 중점을 두고 대도시에 적용 가능한 도로상의 화물차량 소통기법을 연구하여 그 적용성과 기대효과를 살펴보는데 그 목적이 있다. 본 연구는 크게 도시외곽을 경유하는 화물차량에 관한 도시외곽 화물 TSM 기법과 도시내 통과차량 소통기법, 주·정차 및 조업차량관리기법의도시내 화물TSM 기법으로 구성되어 있다. 도시외곽 화물 TSM 기법의 주내용은 신호체계 개선과 도로의 기하구조 개선 등이며, 도시내 화물 TSM 기법은 화물차량의 도시내 교통소통 기법과 화물차량의 주·정차 관리 및 조업차량 관리에 대한 연구를 수행한다. 대부분의 TSM 개선방안의 시행주체가 경찰청과 시이므로 본 연구의 결과는 도시의 원활한 화물교통소통을 위하여 적용가능할 것으로 예상된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.34-34
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• 2023

The Chah-Nimeh reservoirs, which are a sort of natural lakes located in the border of Iran and Afghanistan, are the main drinking and agricultural water resources of Sistan arid region. Considering the occurrence of intense seasonal wind, locally known as levar wind, this study aims to explore the possibility to provide a TSM (Total Suspended Matter) monitoring model of Chah-Nimeh reservoirs using multi-temporal satellite images and in-situ wind speed data. The results show that a strong correlation between TSM concentration and wind speed are present. The developed empirical model indicated high performance in retrieving spatiotemporal distribution of the TSM concentration with R²=0.98 and RMSE=0.92g/m³. Following this observation, we also consider a machine learning-based model to predicts the average TSM using only wind speed. We connect our in-situ wind speed data to the TSM data generated from the inversion of multi-temporal satellite imagery to train a neural network based mode l(Wind2TSM-Net). Examining Wind2TSM-Net model indicates this model can retrieve the TSM accurately utilizing only wind speed (R²=0.88 and RMSE=1.97g/m³). Moreover, this results of this study show tha the TSM concentration can be estimated using only in situ wind speed data independent of the satellite images. Specifically, such model can supply a temporally persistent means of monitoring TSM that is not limited by the temporal resolution of imagery or the cloud cover problem in the optical remote sensing.

• Journal of Pharmacopuncture
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• v.25 no.3
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• pp.209-215
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• 2022

Objectives: Aqueous leaf extract of Tridax procumbens (ALETP) has potent relaxant activity. However, this relaxant activity in respiratory smooth muscle remains uninvestigated. This study investigates the effect of ALETP on the contractile activity of tracheal smooth muscle (TSM) in adult male Wistar rats. Methods: Twelve male Wistar rats divided into 2 groups and were treated with either 100 mg/kg of ALETP (ALETP treatment group) or vehicle (distilled water; control group) through oral gavage for 4 weeks. Dose responses of TSM from the 2 groups to acetylcholine (10^-9 to 10^-5 M), phenylephrine (10^-9 to 10^-5 M), and potassium chloride (KCl; 10^-9 to 10^-4 M) were determined cumulatively. Furthermore, cumulative dose responses to acetylcholine (10^-9 to 10^-5 M) after pre-incubation of TSM with atropine (10^-5 M), L-NAME (10^-4 M), indomethacin (10^-4 M), and nifedipine (10^-4 M), were determined. Results: Treatment with ALETP substantially inhibited TSM contraction stimulated by cumulative doses of acetylcholine, phenylephrine, and KCl. Furthermore, preincubation of TSM from the 2 groups in atropine significantly inhibited contractility in TSM. Incubation in L-NAME and indomethacin also significantly inhibited contractility in TSM of ALETP-treated rats compared to that of controls. Contractile activity of the TSM was also inhibited significantly with incubation in nifedipine in ALETP-treated rats. Conclusion: ALETP enhanced relaxant activity in rat TSM primarily by blocking the L-type calcium channel and promoting endothelial nitric oxide release. ALETP contains agents that may be useful in disorders of the respiratory tract.

• Journal of Korean Society of Transportation
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• v.4 no.1
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• pp.3-11
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• 1986

One important element of a systematic approach to the management and control of the flow of people over an urban street network is the monitoring and evaluation of system performance. The nature of TSM strategies that, in part, differentiates them from traditional long-range transportation improvement alternatives is that they are less costly, are more quickly implemented and modified, and are often oriented toward sub-area problems which must be addressed at a more microscopic level of analysis. These factors suggest that pre-implementation evaluations of alternative TSM actions will often have to rely on quick-turn around, manual methods of analysis to guide the choice of which management action should be implemented. This paper was prepared to focus on the definition and importance of TSM, specifically associated with monitoring and evaluating traffic performance in the context of TSM startegies. A simple case study of reversible lane technique was presented. The purposes of the case study is to illustrate the methodology of evaluating TSM strategies and demonstrate to identify the benefit from the reversible lane technique, which may otherwise be overlooked in real world. Applying the reversible lane technique to Sam-Il elevate highway, it was found to be a very promising low cost alternative to reduce total travel time(or delay) and fuel consumption.

• The Journal of Korean Physical Therapy
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• v.13 no.2
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• pp.359-371
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• 2001

The purpose of this study is to find out the effectiveness of the therapeutic sports massage(TSM) applied to the patients with delayed onset muscle soreness(DOMS) by measuring, assessing and analyzing the changes in intensity and unpleasantness of muscle pains before and after TSM. In the therapeutic sports massage program, such methods as effleurage, petrissage and deep transverse friction were selected as traditional massage treatments frequently used for muscles with pain and spasm. Effleurage and petrissage were applied for 20 minutes in total before and after deep transverse friction treatment. After TSM, the McGill pain questionnaire word list(MPQWL), verbal rating scale(VRS), visual analogue scale(VAS) were used to measure the degree of the pain on the patients. The major findings from this study are as follows; 1. The surveyed patients range from 15 to 63 in age, with highest numbers of 18(37.50%) registered in the twenties and next ones of 14(29.17%) in the thirties. Divided by sex, 27 are men and 21 are women totalling 48 with average age of 25.7. 2. There was significant decrease in the numerical values of VAS & VRS and MPQWL immediately after TSM(p<.05). There was also significant decrease in the numerical values of MPQWL, VRS and VAS after the 2nd, 3rd, 4th, 5th TSM(p<.05). 3. There was significant decrease in the intensity and unpleasantness of pains after TSM(p<.05). 4. From the analysis into chronological changes in the intensity and unpleasantness of pains before and after TSM with ANOVA, it became evident that the longer the period of treatment was, the higher the pains decreases drastically, while significant difference was shown in the intensity and unpleasantness of pains(p<.05). Summed up, it can be generally concluded that TSM is an effective treatment to rid the patients with DOMS of pains safely and promptly.

• Speech Sciences
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• v.11 no.4
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• pp.75-88
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• 2004

In this paper, we propose a new approach to sequential linear regression adaptation of continuous density hidden Markov models (CDHMMs) based on transformation space model (TSM). The proposed TSM which characterizes the a priori knowledge of the training speakers associated with maximum likelihood linear regression (MLLR) matrix parameters is effectively described in terms of the latent variable models. The TSM provides various sources of information such as the correlation information, the prior distribution, and the prior knowledge of the regression parameters that are very useful for rapid adaptation. The quasi-Bayes (QB) estimation algorithm is formulated to incrementally update the hyperparameters of the TSM and regression matrices simultaneously. Experimental results showed that the proposed TSM approach is better than that of the conventional quasi-Bayes linear regression (QBLR) algorithm for a small amount of adaptation data.

• Journal of the Korea Society of Computer and Information
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• v.20 no.6
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• pp.51-58
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• 2015

This paper suggests assignment-swap algorithm with time complexity O(mn) to obtain the optimal solution for large-scale of transportation problem (TP) with incomplete cost lists. Generally, the TP with complete cost lists can be solved with TSM (Transportation Simplex Method). But, we can't be solved for large-scale of TP with TSM. Especially. It is hard to solve for large-scale TP with incomplete cost lists using TSM. Therefore, experts simply using commercial linear programming package. Firstly, the proposed algorithm applies assignment strategy of transportation quantity to ascending order of transportation cost. Then, we reassign from surplus of supply to shortage of demand. Secondly, we perform the 2-opt and 1-opt swap optimization to obtain the optimal solution. Upon application to $31{\times}15$ incomplete cost matrix problem, the proposed assignment-swap algorithm more improves the solution than LINGO of commercial linear programming.

• Journal of Korea Water Resources Association
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• v.52 no.10
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• pp.681-695
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• 2019

A Transient Storage Model (TSM) is one of the most widely used model accounting for complex solute transport in natural river to understanding natural river properties with four TSM key parameters. The TSM parameters are estimated via inverse modeling. Parameter estimation of the TSM is carried out by solving optimization problem about finding best fitted simulation curve with measured curve obtained from tracer test. Several studies have reported uncertainty in parameter estimation from non-convexity of the problem. In this study, we assessed best combination of optimization method and objective function for TSM parameter estimation using Cheong-mi Creek tracer test data. In order to find best optimization setting guaranteeing convergence and speed, Evolutionary Algorithm (EA) based global optimization methods, such as CCE of SCE-UA and MCCE of SP-UCI, and error based objective functions were compared, using Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL). Overall results showed that multi-EA SC-SAHEL with Percent Mean Squared Error (PMSE) objective function is the best optimization setting which is fastest and stable method in convergence.