• KIPS Transactions on Software and Data Engineering
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• v.7 no.3
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• pp.77-90
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• 2018

Software Defect Prediction (SDP) is a field of study that identifies defective modules. With insufficient local data, a company can exploit Cross-Project Defect Prediction (CPDP), a way to build a classifier using dataset collected from other companies. Most machine learning algorithms for SDP have used more than one parameter that significantly affects prediction performance depending on different values. The objective of this study is to propose a parameter selection technique to enhance the performance of CPDP. Using a Harmony Search algorithm (HS), our approach tunes parameters of cost-sensitive boosting, a method to tackle class imbalance causing the difficulty of prediction. According to distributional characteristics, parameter ranges and constraint rules between parameters are defined and applied to HS. The proposed approach is compared with three CPDP methods and a Within-Project Defect Prediction (WPDP) method over fifteen target projects. The experimental results indicate that the proposed model outperforms the other CPDP methods in the context of class imbalance. Unlike the previous researches showing high probability of false alarm or low probability of detection, our approach provides acceptable high PD and low PF while providing high overall performance. It also provides similar performance compared with WPDP.

• Journal of Distribution Science
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• v.12 no.10
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• pp.85-97
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• 2014

Purpose - This study aims to clarify through which process asset specificity and supplier development project (SDP) affect performance. Cooperation, partnership, the level of information exchange, and the importance of information sharing are considered significant variables as mediators related to the process. Finally, the performance formation model of the supply chain through asset specificity and supplier development project would be suggested as being a result of this study. Research design, data, and methodology - Data collection was as follows: questionnaires were distributed to 250 companies that have business ties with H Company. The empirical study to test our hypothesis was based on statistical analysis (using SPSS 19.0 and AMOS 19.0). The hypothesis of this paper is that the asset specificity and supplier development project variables have positive effects on the following variables: mediators such as cooperation and partnership (reliability and dependence); and the cooperation and partnership variables have a positive effect on the following variables: level of information sharing, the importance of information sharing, and level of information sharing; the importance of information sharing has a positive effect on supply chain performance. We tested our hypothesized model utilizing path analysis with latent variables. Results - First, it was found that asset specificity has significant positive effects on cooperation (H1), reliability (H2), and dependability (H3). Second, it was proved that the level of comprehension on the purpose of SDP has positive effects significantly on cooperation (H4), reliability (H5), and dependability (H6). Third, the hypotheses related to cooperation were all significantly accepted. The relationships of cooperation with the level (H7) and importance (H8) of information sharing were significant. Fourth, the hypotheses related to reliability were all significantly accepted. The relationships of reliability with the level (H9) and importance (H10) of information sharing were significant. In terms of dependability, however, the hypotheses were partially accepted. The effect of dependability was significant on the importance of information sharing (H12), but insignificant on the level of information sharing (H11). Finally, the causal relationships from the level of information sharing to SCM performance (H13) and from the importance of information sharing to SCM performance (H14) were both significantly accepted. Conclusion - First, with rapid changes in the business environment, enterprises should acquire the right information to properly implement SCM. For successful SCM, firms should understand the supplier development project. Second, asset specificity and the level of comprehension on SDP have significant effects both on cooperation and partnership (reliability and dependability). Third, mediators such as cooperation, reliability, and dependability significantly affect the level and importance of information sharing. Fourth, the level and importance of information sharing have significant impacts on SCM performance. This paper makes a meaningful contribution to further the understanding of how SDP affects SCM performance. Finally, successful SCM performance is achieved by information sharing through a collaborative environment and partnership (confidence & dependence) rather than by investing only in setting up an information system.

• Journal of Radiation Protection and Research
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• v.37 no.2
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• pp.84-89
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• 2012

The purpose of this study was to compare radiation dose and image quality between low-dose (LDP) and standard-dose protocol (SDP). LDP (120 kVp, 30 mAs, 2-mm thickness) and SDP (120 kVp, 180 mAs, 1.2-mm thickness) images obtained from 61 subjects were retrospectively evaluated at level of carina bifurcation, using multi-detector CT (Brilliance 16, Philips Medical Systems). Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated at ascending aorta and infraspinatus muscle, from CT number and back-ground noise. Radiation dose from two protocols measured at 5-point using acrylic-phantom, and CT number and noise measured at 4-point using water-phantom. All statistical analysis were performed using SPSS 19.0 program. LDP images showed significantly more noise and a significantly lower SNR and CNR than did SDP images at ascending aorta and infraspinatus muscle. Noise, SNR and CNR were significantly correlated with body mass index (p<0.001). Radiation dose, SNR and CNR from phantom were significant differences between two protocols. LDP showed a significant reduction of radiation dose with a significant change in SNR and CNR compared with SDP. Therefore, exposure dose on LDP in clinical applications needs resetting highly more considering image quality.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2009.04a
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• pp.72-75
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• 2009

본 논문에서는 현재 국내에서 구축되어 있지 않은 3차원 BIM 기반 설계 및 시공 환경으로의 패러다임 전환에 대비하여 3차원 BIM 지향적 구조설계 프로그램인 SDP 제품군을 사용하여 BIM 프로그램들을 연동한 3차원 BIM 철근배근 자동생성 시스템을 개발하고자 한다. 현재 국내 건설업계의 치열한 수주경쟁으로 수익률저하/철근 등 자제가 폭등/인건비 상승/배근시공도 작성 인력 부족 및 신뢰성 저하 및 납기 지연 등의 기존 현황의 문제점 등을 SDP 제품군을 이용하여 구조설계/배근시공도 작성/정밀 골조물량 산출을 통합 지원하는 엔지니어링 컨설팅 환경을 구축하여 구조설계 시 V/E 동시 수행, 골조공사비 10% 절감, 배근시공도 및 물량산출 납기 최소로 단축, 배근시공도 정확성 향상/설계 및 시공 변경에 신속 대응, 공정 대비 발주 물량 관리 기능을 제공함으로써 고수익, 고효율, 고품질 의 엔지니어링 컨설팅 수행이 가능하다. 3차원 BIM 을 기반으로 철근현장가공에서 공장가공 전환 가속화로 국가적 물량 절감을 기대할 수 있고, 3차원 BIM 구조설계 및 골조공사 환경 구축 및 기술 자립을 통해 건설시공 분야의 기술력 향상을 기대할 수 있다.

• The Journal of the Korea Contents Association
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• v.4 no.1
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• pp.1-7
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• 2004

In addition to wired communication technology, wireless communication technology has been driving communication revolution nowadays. Bluetooth technology carries out data/voice communication making pico-net and the various application services are supported by access network connected to public network. This paper presents educational software development of bluetooth protocol stack including HCI, L2CAP, RFCOMM, SDP and profiles including GAP, SPP, GEOP, FTP. This software which supports programming environment of these protocol monitoring and emulation is implemented basically step by step for education based on H connected to the bluetooth device through RS-232-C, UART or USB cable. Application program coded by Visual C is operated over the firmware loaded on the bluetooth device connected to the PC. Additionally ftp and chatting function are developed to enhance educational efficiency.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.16 no.4 s.95
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• pp.418-426
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• 2005

Based upon three level approximation and the steepest descent path(SDP) method, we consider an optimum choice of approximation path for derivation of new class of closed-flrm Green's functions which can lead to the analytic evaluation of MoM(Method of Moment) matrix elements. It is observed that the present method can give more accurate evaluation of the spatial Green's functions than the previous method, even without the advance investigation of the spectral functions, over a wide frequency range. In order to check the validity of the present method, some numerical results are presented.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.1-10
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• 2022

Nowadays software defect prediction (SDP) is most active research going on in software engineering. Early detection of defects lowers the cost of the software and also improves reliability. Machine learning techniques are widely used to create SDP models based on programming measures. The majority of defect prediction models in the literature have problems with class imbalance and high dimensionality. In this paper, we proposed Centroid and Nearest Neighbor based Class Imbalance Reduction (CNNCIR) technique that considers dataset distribution characteristics to generate symmetry between defective and non-defective records in imbalanced datasets. The proposed approach is compared with SMOTE (Synthetic Minority Oversampling Technique). The high-dimensionality problem is addressed using Ant Colony Optimization (ACO) technique by choosing relevant features. We used nine different classifiers to analyze six open-source software defect datasets from the PROMISE repository and seven performance measures are used to evaluate them. The results of the proposed CNNCIR method with ACO based feature selection reveals that it outperforms SMOTE in the majority of cases.

• Korean Journal of Food Science and Technology
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• v.34 no.3
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• pp.370-379
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• 2002

The composition of extractive nitrogenous constituents in four species of commercial marine seasoned-dried products (SDP) and five species of seasoned-dried and roasted products (SDRP) were analyzed. The extractive nitrogen contents were $688{\sim}1,124$ and $756{\sim}1,099\;mg/100g$ in SDP and SDRP extracts. Contents of Free amino acids such as glutamic acid, taurine, arginine, proline, alanine, and histidine were high in all samples. The combined amino acid amounted to $662{\sim}2,248$ and $1,146{\sim}1,821\;mg/100g$ in SDP and SDRP, respectively, which corresponded to 34.5 and 42.5% of the total free amino acid level. ATP and related compounds were $3.69{\sim}7.37$ and $2.17{\sim}8.45\;{\mu}mol/g$ in SDP and SDRP, respectively. Five types of betaines were detected in both specimens although in small amounts. TMAO, TMA, creatine, and creatinine were detected in both samples, however they have same variation in each sample. There was no significant difference in the extractive nitrogenous constituents between SDP and SDRP except in moisture, salinity, and contents of glutamic acid and creatinin (p<0.01).

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.37-44
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• 2020

Due to the recent COVID 19 pandemic, public institutions are increasingly working from home. Working in public institutions is rapidly changing into a smart work environment where time and space constraints disappear. However, many public institutions currently lack a security model for an efficient smart work environment due to the physical network separation system that separates the Internet network and the business network. Therefore, in this paper, we describe the current limitations for implementing smart work in a physical network separation environment of public institutions, and propose a security model necessary for a work environment to supplement them. As a related study, explain SSL VPN and explain smart work business model through security model research of SDP (Software Defined Perimeter), RDP (Remote Desktop Protocol), and VDI (Virtual Desktop Infrastructure) to overcome the security limitations of SSL VPN. As a result, we intend to propose a security model for a smart work environment suitable for public institutions while complying with the physical network separation security guide.

• Korean Journal of Food Science and Technology
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• v.22 no.3
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• pp.241-247
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• 1990

In order to develop a type of instant tea cassia tora seed, changes of constiuent amounts before and after roasting $(3{\pm}0.5min\;at\;170{\pm}5^{\circ}C)$ effective extracting solvent and it's optimum concentration, dehydration method and sensory scores were investigated. Moisture, lipid, reducing sugar, emodin and rhein were decreased by roasting, whereas protein, and total sugar of cassia tora increased. Color intensity and extracting efficacy were also increased. Of three kinds of solvent (water, methanol and ethanol), ethanol was highest in redness and yellowness of exeracts, and filtrate yield. Effective extracting concentration of ethanol for cassia tora was 50%(V/V). Freeze dry product(FDP) and spary dry product(SDP) showed coffee and aloe-like smell, coffee like brown color, rapid soluble in cold and hot water, and fast caking in air during storage. Free sugar contents were high in order of raffinose>fructose >glucose>maltose>sucrose Metallic contents were high in order of sodium>calcium>potassium>magnesium>iron. In sensory score for color, taste and aroma, FDP and SDP were both above 8.0 point, however, of them FDP more or less higher than SDP In addion, score in developing value as an instant tea was above 8.0 point (valuable).