• Physical Therapy Korea
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• v.17 no.2
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• pp.25-32
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• 2010

The purpose of this study was to investigate the most effective and comprehensible method for the assessment of resting scapular position (RSP) and pain level (PL) in unilateral shoulder pain (USP). Fifty volunteers with USP were involved in the study. Resting scapular assessments of the patients' pain sides (PS) and non-pain sides (NPS) were evaluated. The assessment tools for RSP are: 1) sternal notch (SN) to coracoid process (CP) distance 2) 3rd thoracic spinous process (T3S) to posterolateral angle of acromion (PLA) distance 3) scapular index 4) 8th thoracic spinous process (T8S) to inferior angle of scapular (IAS) distance 5) supine measurement of pectoralis minor (PM) distance 6) standing PM distance 7) PM index (PMI) and 8) PM pain. The paired t-test was used to compare PS and NPS in RSP. Pearson correlation analysis was used to confer a relationship between the PL and RSP. The results of this study indicated that: 1) all the variables between the PS and NPS for RSP were statistically significant(p<.05) and 2) the PMI showed the strongest relationship in the correlation analysis between RSP and PL(p<.05, r=.37). Therefore, it can be concluded that there is a relationship between PMI and PL and it is suggested that an assessment tool using PMI to diagnose shoulder pain would be clinically effective.

• The KIPS Transactions:PartC
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• v.11C no.7 s.96
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• pp.981-992
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• 2004

The established NEIS has a lot of problems in the management of security. It does not realize access control in following authority because it only uses PKI certification in user certification and the use of central concentration DBMS and plain text are increased hacking possibility in NEIS. So, This paper suggests a new NEIS for the secure management of data and authority certification. First, we suggest the approached authority in AC pf PMI and user certification in following the role, RBAC. Second, we realize DB encryption plan by digital signature for the purpose of preventig DB hacking. Third, we suggest SQL counterfeit prevention by one-way hash function and safe data transmission per-formed DB encryption by digital signature.

• Journal of Science Criminal Investigation
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• v.11 no.3
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• pp.178-185
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• 2017

It is one of the most important factors to statistical estimation of ambient temperature for accumulated degree day (ADD) and minimum postmortem interval (PMI) in the incident scene. Until now, we applied the temperature of the nearest weather stations, adjusted temperature, or estimated the temperature by the linear regression analysis to estimate the temperature of the incident site. At this time, the estimated temperature may be changed according to the method of temperature estimation. And The accuracy of the estimated value may also vary depending on the environmental factors such as capacity, wind speed, humidity, and rainfall, which may affect measurement conditions and temperature. Therefore, we studied the effect of various environmental factors and measurement conditions for ambient temperature in Korea.

• Journal of Korean Biological Nursing Science
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• v.24 no.1
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• pp.17-25
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• 2022

Purpose: To determine the prognostic role of muscle area and muscle radiation attenuation in the erector spinae (ES) and multifidus (MF) muscles in patients undergoing gastrectomy. Methods: Patients with stage I-III gastric cancer undergoing gastrectomy were retrospectively enrolled in this study. Clinicopathologic characteristics were collected and analyzed. Both paraspinal muscle index of ES/MF muscles (PMI_EM) and paraspinal muscle radiation attenuation in the same muscles (PMRA_EM) were analyzed at the 3rd lumbar level using axial computed tomographic images. Cox regression analysis was applied to estimate overall survival (OS) and disease-free survival (DFS). Results: There was only a weak correlation between PMI_EM and PMRA_EM (r= 0.28). Multivariate Cox regression revealed that PMRA_EM, but not PMI_EM, was an important determinant of survival. PMRA_EM along with age, tumor-node-metastasis (TNM) stage, perineural invasion, and serum albumin level were significant determinants of both OS and DFS that constituted Model 1. Harrell's concordance index and integrated area under receiver operating characteristic curve were greater for Model 1 than for Model 2 (consisting of the same covariates as Model 1 except PMRA_EM) or Model 3 (consisting of only TNM stage). Conclusion: PMRA_EM, but not PMIEM, was an important determinant of survival. Because there was only a weak correlation between PMI_EM and PMRA_EM in this study, it was presumed that they were mutually exclusive. Model 1 consisting of age, TNM stage, perineural invasion, serum albumin level, and PMRA_EM was greater than nested models (i.e., Model 2 or Model 3) in predicting survival outcomes.

• Journal of Korea Port Economic Association
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• v.36 no.3
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• pp.115-136
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• 2020

This study aims to analyze the impact of China's iron ore imports and exports on the tramper freight rate of China. The import volume of iron ore in China, the export volume of steel products in China, and exogenous variables were used as independent variables. The dependent variables were BDI, BCI, C5, C10, C14, BSI, S2, and S3. Correlation analysis and regression analysis were conducted. The correlation analysis showed that China's iron ore imports were not related to the remaining BDI, BCI, BSI, C5, C10, S2, and S3, except for the C14 index. However, there was a positive correlation between the ship's space and international oil prices, and it was not related to China's Purchasing Managers Index (PMI). The export volume of steel products was negatively correlated with BDI, BCI, BSI, C5, C10, C14, S2, S3, and international oil prices, and was not related to iron ore imports, ship space, and China's PMI. In the verification of the hypothesis between China's iron ore imports and exogenous variables, China's PMI was rejected within the hypothesis. However, the hypothesis on international oil prices and ship space was adopted. In the verification of the hypothesis between China's steel export volume and exogenous variables, the hypothesis on BDI and the S3 index was adopted, and the hypothesis on BSI and S2 was rejected. In the analysis results of this study, the ship space and oil prices were adopted in all the hypothesis results. Domestic companies participating in the tramper shipping market will need to be prepared through continuous monitoring of related indicators.

• Imaging Science in Dentistry
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• v.34 no.2
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• pp.69-74
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• 2004

Purpose : This study was conducted to compare the radiomorphometric indices of the mandible on panoramic radiographs among three groups of normal, osteopenia and osteoporosis and to determine whether panoramic indices have validity in predicting osteoporotic risk. Materials and Methods: Ninty-four postmenupausal women aged 42-72 years (mean 62±7.5) were examined using dual energy X-ray absorptionmetry (DEXA) of the lumbar and classified into three groups by WHO classification. Panoramic mandibular index (PMI), mandibular cortical thickness (Mental index (MI), Antegonial index (AI), Gonial index (G!)) and the mandibular cortical index (MCI) were measured bilaterally on panoramic radiographs and analyzed. Results: There were signigicant differences among normal, osteopenic and osteoporoti groups in PMI (I), PMI (S), MI, AI, GI and MCI. The sensitivities of the MCI (93%) and the combination index of MCI and MI (90%) in diagnosing osteopenic/osteoporotic cases were high. Conclusion: The widths and shapes of the mandibular cortical bone on panoramic radiography may highly reflect the systemic osteopenic/osteoporotic conditions of the patients.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.801-804
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• 2007

Development of construction project management information system is accelerated because information management system has become more important by recent complicated and large-sized construction industry. There are many problems to operate PMIS efficiently because no standardized WBS exist in current. This study has identified the problems of WBS in building construction of multi-family house projects with 4 public and private organizations by interviews and compared each WBS. From those facts, this research presents the integrated WBS and the improved application form in PMIS.

• Journal of Information Technology Services
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• v.5 no.3
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• pp.173-186
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• 2006

The local public organizations, to secure the Confidentiality, Integrity, Authentication and Non-Repudiation of cyber administrative environment is giving it a try to consolidate the official documents among them by standardizing all the documents into XML formats together with the establishment of the GPKI(Government Public Key Infrastructure). The Authentication System based on the PKI(Public Key Infrastructure) used by the GPKI, however, provides only the simple User Authentication and thus it results in the difficulty in managing the position, task, role information of various users required under the applied task environment of public organizations. It also has a limitation of not supporting the detailed access control with respect to the XML-based public documents.In order to solve these issues, this study has analyzed the security problems of Authentication and access control system used by the public organizations and has drawn the means of troubleshoot based on the analysis results through the scenario and most importantly it suggests the access control model applied with PMI and SAML and XACML to solve the located problem.

• Korean Journal of Organic Agriculture
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• v.30 no.1
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• pp.21-35
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• 2022

Measuring the food safety has been focused only on the psychological consumers' recognition of food safety. The actual measurement tool should consist of the evidence-based statistical data to assess the level of national food safety in scientific perspectives. This paper described the development of a concept to measure the food safety of the food chain based on OECD PSR framework. This paper discusses the elaboration of a set of 8 food safety related data issued as statistical data, and which were same weighted. These food safety statistical data (FSDs) were derived as the basis of measuring the variation of food safety during 2013-2019. The values of the primary production indicator (PPI), the processing and manufacturing indicator (PMI), and the distribution and consumption indicator (DCI) are 0.558-0.859, 0.533-0.691, and 0.979-0.982, respectively. The food safety status (FSS) derived from the safety indicator values of each of the three stages is 0.700-0.810. In order to increase the level of food safety, it is necessary to pay attention to PMI and PPI management. In the future, continuously calculating the level of food safety, managing it like the level of psychological safety, and further expanding it to the level of food safety between countries will help establish policies to improve the level of food safety in Korea.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.363-363
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• 2023

Artificial Neural Networks (ANN) is a powerful tool for addressing various practical problems and it has been extensively applied in areas of water resources. In this study, Artificial Neural Networks (ANNs) were developed for flood forecasting at specific locations on the Han River. The Partial Mutual Information (PMI) technique was used to select input variables for ANNs that are neither over-specified nor under-specified while adequately describing the underlying input-output relationships. Historical observations including discharges at the Paldang Dam, flows from tributaries, water levels at the Paldang Bridge, Banpo Bridge, Hangang Bridge, and Junryu gauge station, and time derivatives of the observed water levels were considered as input candidates. Lagged variables from current time t to the previous five hours were assumed to be sufficient in this study. A three-layer neural network with one hidden layer was used and the neural network was optimized by selecting the optimal number of hidden neurons given the selected inputs. Given an ANN architecture, the weights and biases of the network were determined in the model training. The use of PMI-based input variable selection and optimized ANNs for different sites were proven to successfully predict water levels during flood periods.